<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<?covid-19-tdm?>
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Vet. Sci.</journal-id>
<journal-title>Frontiers in Veterinary Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Vet. Sci.</abbrev-journal-title>
<issn pub-type="epub">2297-1769</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fvets.2025.1645884</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Veterinary Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Phylogenetic, clinical, pathological and epidemiological characterization of feline coronavirus infections in cats, in Istanbul</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Yuzbasioglu Ozturk</surname>
<given-names>Gulay</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3099715/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kayar</surname>
<given-names>Abdullah</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Erdogan Bamac</surname>
<given-names>Ozge</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tali</surname>
<given-names>Hasan Emre</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ozkan</surname>
<given-names>Ismail Egemen</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Umar</surname>
<given-names>Sajid</given-names>
</name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Aydin</surname>
<given-names>Ozge</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cizmecigil</surname>
<given-names>Utku Yusuf</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Iskefli</surname>
<given-names>Onur</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bayrakal</surname>
<given-names>Alper</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1411736/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Turuncoglu</surname>
<given-names>Fikriye Suzer</given-names>
</name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kaan Tekelioglu</surname>
<given-names>Bilge</given-names>
</name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Berriatua</surname>
<given-names>Eduardo</given-names>
</name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/973054/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Helps</surname>
<given-names>Chris</given-names>
</name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gurel</surname>
<given-names>Aydin</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Turan</surname>
<given-names>Nuri</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Richt</surname>
<given-names>Juergen A.</given-names>
</name>
<xref ref-type="aff" rid="aff10"><sup>10</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yilmaz</surname>
<given-names>Huseyin</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yilmaz</surname>
<given-names>Aysun</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1489263/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Pathology, Veterinary Faculty, Istanbul University-Cerrahpasa</institution>, <addr-line>Istanbul</addr-line>, <country>T&#x00FC;rkiye</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Internal Medicine, Veterinary Faculty, Istanbul University-Cerrahpasa</institution>, <addr-line>Istanbul</addr-line>, <country>T&#x00FC;rkiye</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Virology, Veterinary Faculty, Istanbul University-Cerrahpasa</institution>, <addr-line>Istanbul</addr-line>, <country>T&#x00FC;rkiye</country></aff>
<aff id="aff4"><sup>4</sup><institution>Global Health Research Center (GHRC), Duke Kunshan University</institution>, <addr-line>Wuzhong</addr-line>, <country>China</country></aff>
<aff id="aff5"><sup>5</sup><institution>Division of Natural &#x0026; Applied Sciences (DNAS), Duke Kunshan University</institution>, <addr-line>Wuzhong</addr-line>, <country>China</country></aff>
<aff id="aff6"><sup>6</sup><institution>Pets-In Veterinary Clinic</institution>, <addr-line>Istanbul</addr-line>, <country>T&#x00FC;rkiye</country></aff>
<aff id="aff7"><sup>7</sup><institution>Department of Virology, Veterinary Faculty, Cukurova University</institution>, <addr-line>Adana</addr-line>, <country>T&#x00FC;rkiye</country></aff>
<aff id="aff8"><sup>8</sup><institution>Departamento de Sanidad Animal, Facultad de Veterinaria, Regional Campus of International Excellence "Campus Mare Nostrum", Universidad de Murcia</institution>, <addr-line>Murcia</addr-line>, <country>Spain</country></aff>
<aff id="aff9"><sup>9</sup><institution>Langford Veterinary Services, University of Bristol</institution>, <addr-line>Bristol</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff10"><sup>10</sup><institution>Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University</institution>, <addr-line>Manhattan, KS</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/935829/overview">Ayse Humeyra Bilge</ext-link>, Kadir Has University, T&#x00FC;rkiye</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2642013/overview">Kannika Phongroop</ext-link>, Chiang Mai University, Thailand</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3140419/overview">Kazi Abdus Sobur</ext-link>, Bangladesh Institute of Innovative Heath Research, Bangladesh</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Aysun Yilmaz, <email>aysunyilmaz@iuc.edu.tr</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1645884</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Yuzbasioglu Ozturk, Kayar, Erdogan Bamac, Tali, Ozkan, Umar, Aydin, Cizmecigil, Iskefli, Bayrakal, Turuncoglu, Kaan Tekelioglu, Berriatua, Helps, Gurel, Turan, Richt, Yilmaz and Yilmaz.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Yuzbasioglu Ozturk, Kayar, Erdogan Bamac, Tali, Ozkan, Umar, Aydin, Cizmecigil, Iskefli, Bayrakal, Turuncoglu, Kaan Tekelioglu, Berriatua, Helps, Gurel, Turan, Richt, Yilmaz and Yilmaz</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Introduction</title>
<p>Feline coronavirus (FCoV) is a widespread viral infection affecting domestic and wild cats globally, with higher prevalence in young cats and multi-cat environments.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>In this study, a total of 208 clinical samples (blood, fecal, ascitic fluid, pleural fluid, tissue) were collected between January 2018 and January 2020 from diseased cats. Clinical and demographic data were recorded, and hematobiochemical and molecular detection analyses were performed.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>A total of 189 blood samples (90.9%) were found seropositive for FCoV, while 79 fecal samples (38%) were found positive for FCoV RNA by real-time RT-qPCR. No significant association was found between FCoV-RNA positivity and age or gender, while a significant association was found with crossbreed cats (<italic>p&#x202F;&#x003C;</italic> 0.05). Notable clinical signs included weight loss (47%), dullness (44%), respiratory distress (16%), vomiting (13%), ascites (13%), epileptic fits (13%), diarrhea (6%), and fever (5%). Fever, depression, diarrhea, and ascites were significantly more common in PCR-positive cats than in PCR-negative cats (<italic>p&#x202F;&#x003C;</italic> 0.05). The relationship between FCoV-RNA positivity and hematobiochemical indices was variable. Elevated monocyte and neutrophil levels were observed in 51 and 29% of cases, respectively. Additionally, elevated ALT activity and bilirubinemia were detected in 19 and 28% of cats, respectively. Partial S gene nucleotide analysis showed a deletion of multiple nucleotides in all sequences obtained in the present study. Interestingly, these deletions were absent in all reference strains belonging to FCoV type 2. Among 68 FCoV strains, 42 formed a separate cluster with the reference strain (AY307020) during phylogenetic analysis. This cluster was further divided into several small sub-clusters. Several unique recombinant events and recombination signals were observed among partial S1 gene sequences. Notable histopathological findings included fibrinous serositis and pyogranulomatous inflammation in vital organs.</p>
</sec>
<sec id="sec4">
<title>Discussion</title>
<p>This study provides comprehensive information on FCoV infections among cats in Turkey. The findings could significantly contribute to understanding the hematobiochemical manifestations, epidemiology, and risk factors associated with FCoV, ultimately aiding in the development of better prevention and treatment strategies. A continuous molecular surveillance program is required to understand the evolution and emergence of virulent strains of FCoV to design new antiviral therapies and vaccines.</p>
</sec>
</abstract>
<kwd-group>
<kwd>feline coronavirus</kwd>
<kwd>cats</kwd>
<kwd>T&#x00FC;rkiye</kwd>
<kwd>serology</kwd>
<kwd>haematology</kwd>
<kwd>PCR</kwd>
<kwd>phylogenetic</kwd>
<kwd>histopathology</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="11"/>
<equation-count count="0"/>
<ref-count count="103"/>
<page-count count="22"/>
<word-count count="16404"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Veterinary Epidemiology and Economics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<title>Introduction</title>
<p>Feline coronavirus (FCoV) infects both domesticated and wild cats (African lion, mountain lion, leopard, cheetah, jaguar, lynx, serval, caracal, European wildcat, sand cat and Pallas&#x2019;s cat) worldwide (<xref ref-type="bibr" rid="ref1">1</xref>). FCoV exists in two distinct forms: feline enteric coronavirus (FECV), which replicates in the intestinal tract, and feline infectious peritonitis virus (FIPV), the pathogenic variant responsible for feline infectious peritonitis (FIP) (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref3">3</xref>). Cats that develop FIP experience severe systemic illness with high mortality, resulting in economic burdens from hospitalization and treatment, as well as profound emotional distress for their owners.</p>
<p>FCoV is an enveloped, positive-sense, single-stranded RNA virus with a non-segmented genome and helical symmetry. It belongs to the order <italic>Nidovirales</italic>, family <italic>Coronaviridae</italic>, subfamily <italic>Coronavirinae</italic>, and genus <italic>Alphacoronavirus</italic> (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref5">5</xref>). The genome is about 29 Kb in size and contains 11 open reading frames (ORFs). These encode 4 major structural proteins: nucleocapsid (N), membrane (M), envelope (E) and spike (S), (<xref ref-type="bibr" rid="ref6">6</xref>) and 7 nonstructural proteins, which includes five accessory proteins (3a, 3b, 3c, 7a and 7b) and two replicase proteins (1a and 1b) (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref7">7</xref>). FCoVs are further divided into two serotypes (I and II) based on antigenicity. Serotype I virus is of feline origin and serotype II virus appears to have arisen from the recombination of FCoV serotype I with canine coronavirus (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref8 ref9 ref10">8&#x2013;10</xref>). The two pathotypes (FECV and FIPV), exist in both serotypes I and II (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref11">11</xref>). Serotype I FCoV does not grow well in cell culture and grows only in macrophage derived cell lines (<xref ref-type="bibr" rid="ref12">12</xref>). Antisera to canine coronavirus (CCV) has a weak response to FCoV I. In contrast, serotype II FCoV grows well in cell culture and reacts with antisera to CCV (<xref ref-type="bibr" rid="ref13">13</xref>).</p>
<p>FCoV is primarily shed in the feces of healthy carrier cats and transmitted through the fecal-oral route. Transmission occurs most efficiently in multi-cat environments, where the infection rate is significantly higher compared to single-cat households. FCoV demonstrates notable environmental stability, remaining infectious on fomites for 3&#x2013;7&#x202F;weeks, making contaminated objects potential transmission vehicles (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref15">15</xref>). Additionally, persistently infected asymptomatic carriers play a crucial epidemiological role, as most shed virus either continuously or intermittently for months to years (<xref ref-type="bibr" rid="ref15 ref16 ref17 ref18">15&#x2013;18</xref>).</p>
<p>FIP as a disease in cats was first reported in 1966 (<xref ref-type="bibr" rid="ref19">19</xref>). After this report, FIPV and FECV were suggested as aetiological agents in FIP between 1978 and 1981 (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref20">20</xref>). FECV is similar to FIPV in terms of antigenicity, but different in pathogenicity with FIPV being more virulent and may cause death within a few weeks after infection (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref19">19</xref>, <xref ref-type="bibr" rid="ref21">21</xref>). In addition to differences in pathogenicity <italic>in vivo</italic>, the two biotypes have different cellular tropisms (<xref ref-type="bibr" rid="ref2">2</xref>). In general, during natural infections, FECV has tropism for mucosal epithelial cells or mesenteric lymph nodes (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref12">12</xref>), whereas FIPV infects mainly macrophage cell lines as well as lymphocytes, plasma cells and neurocytes (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref22">22</xref>, <xref ref-type="bibr" rid="ref23">23</xref>). FECV has been shown to be present systemically in monocytes of healthy cats (<xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref25">25</xref>).</p>
<p>The prevalence of FCoV infections may be up to 90% in multi-cat environments and 10&#x2013;60% in house-hold cats worldwide (<xref ref-type="bibr" rid="ref26 ref27 ref28 ref29 ref30 ref31">26&#x2013;31</xref>). Primary FCoV infection occurs in enterocytes and passes to blood by monocyte-associated viremia (<xref ref-type="bibr" rid="ref21">21</xref>, <xref ref-type="bibr" rid="ref32">32</xref>, <xref ref-type="bibr" rid="ref33">33</xref>). While approximately 20% of FECV-infected cats experience viral mutations, only 12%&#x2013;13% of these cases progress to FIP. This progression depends on key host and viral factors, including viral virulence and the nature of the host&#x2019;s immune response particularly strong, rapid cellular immune reactions that may contribute to immunopathological effects (<xref ref-type="bibr" rid="ref29">29</xref>). The development of FIP correlates strongly with several risk factors including stress, concurrent infections, immunity, high population density. The disease shows particular predilection for young cats aged 3&#x2013;16&#x202F;months, when maternal antibody protection wanes and the juvenile immune system remains vulnerable (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref25">25</xref>, <xref ref-type="bibr" rid="ref28">28</xref>, <xref ref-type="bibr" rid="ref29">29</xref>). At present, two clinical forms of FIP are well documented: a &#x2018;wet&#x2019; or effusive form (polyserositis and vasculitis) and a &#x2018;dry&#x2019; or non-effusive form (pyogranulomatous lesions in organs) (<xref ref-type="bibr" rid="ref21">21</xref>, <xref ref-type="bibr" rid="ref32">32</xref>). Infiltration of ascites from tissues into the pleural cavity, peritoneal cavity and pericardial cavity is the most prominent manifestation of &#x2018;wet&#x2019; FIP, while lethargy, anorexia, weight loss and fever refractory to antibiotics are common and non-specific signs of FIP (<xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref32">32</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref35">35</xref>). Non-effusive FIP is characterized by granuloma formation involving the central nervous system, eyes and abdominal organs (especially kidneys, liver, mesenteric lymph nodes and intestinal wall), and does not produce body cavity effusion (<xref ref-type="bibr" rid="ref21">21</xref>, <xref ref-type="bibr" rid="ref34">34</xref>).</p>
<p>While most FCoV-infected cats remain asymptomatic, clinical cases typically present with gastrointestinal manifestations, most commonly vomiting and diarrhea. The clinical presentation of FIP varies significantly between its effusive (&#x2018;wet&#x2019;) and non-effusive (&#x2018;dry&#x2019;) forms. However, both forms typically share several hallmark clinical features including anorexia, lethargy, dehydration, icterus, and neurological manifestations such as ataxia, paresis, and hyperesthesia (<xref ref-type="bibr" rid="ref21">21</xref>, <xref ref-type="bibr" rid="ref36">36</xref>). Neurological signs are more frequent in non-effusive FIP (<xref ref-type="bibr" rid="ref3">3</xref>). In addition, fever, weight loss, diarrhoea, ocular lesions and kidney disorders are also prominent in cats with non-effusive FIP. In effusive FIP, abdominal distention, ascites, pleural and pericardial effusion, dyspnea are the main clinical signs of disease (<xref ref-type="bibr" rid="ref35 ref36 ref37 ref38">35&#x2013;38</xref>).</p>
<p>Currently, no commercially available vaccine exists for FIP. Vaccine development has been hindered by significant genetic variability among circulating FCoV strains (<xref ref-type="bibr" rid="ref3">3</xref>). Furthermore, effective treatment of FIP remains challenging due to the complex pathogenesis of the disease. A 3C-like protease inhibitor (GC376) was used in the experimental treatment of FIP cats in 2016. This was subsequently developed to treat naturally occurring FIP, but recurrences of disease were observed (<xref ref-type="bibr" rid="ref39">39</xref>). A nucleoside analog (GS-441524) was found to be a safe and effective treatment of FIP, and interfered with virus replication (<xref ref-type="bibr" rid="ref21">21</xref>, <xref ref-type="bibr" rid="ref40">40</xref>, <xref ref-type="bibr" rid="ref41">41</xref>). The protease inhibitors have been used in clinical treatment recently, but their usage is limited because of the high price, long treatment period and relatively low cure rate (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref21">21</xref>).</p>
<p>In the absence of effective vaccines or reliable treatments for FIP, establishing accurate diagnostic protocols for FCoV infection becomes crucial for case management and disease control. However, FIP diagnosis remains challenging, requiring comprehensive evaluation of multiple parameters including clinical presentation, hematological and biochemical abnormalities, serological testing, virological analysis, and histopathological examination. FIP remains a frequent diagnostic challenge in feline medicine, with misdiagnosis rates exceeding 40% in first-opinion practice (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref42 ref43 ref44 ref45 ref46">42&#x2013;46</xref>). This is important since some veterinarians start corticosteroids after diagnosis (<xref ref-type="bibr" rid="ref35">35</xref>). This might increase the manifestation of latent herpesvirus and toxoplasma if present in cats with FIP (<xref ref-type="bibr" rid="ref3">3</xref>). Therefore, the aforementioned diagnostic parameters need to be collected and evaluated together (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref45">45</xref>, <xref ref-type="bibr" rid="ref47">47</xref>, <xref ref-type="bibr" rid="ref48">48</xref>). For virological analyses, virus isolation and molecular tests like RT-PCR and real time RT-PCR are used and are very helpful, particularly when using abdominal or pleural fluid or tissue biopsy or aspirates (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref45">45</xref>, <xref ref-type="bibr" rid="ref49">49</xref>). Results from RT-PCR tests should be evaluated together with clinical findings and postmortem samples (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref40">40</xref>, <xref ref-type="bibr" rid="ref44">44</xref>, <xref ref-type="bibr" rid="ref45">45</xref>, <xref ref-type="bibr" rid="ref49">49</xref>). Also there are rapid tests and ELISAs for antigen detection in faeces to monitor cats carrying FCoV as well as to check antibody response. However, serological tests have low specificity and sensitivity and may fail to detect recent infections and cross-reactions occur between FIPV and low pathogenic FECV strains (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref45">45</xref>). While hematological and biochemical alterations in FIP lack pathognomonic specificity, a constellation of the findings (e.g., CBC abnormalities, Serum protein changes, Acute phase reactants, liver function tests, kidney function tests, Hyperbilirubinemia) should raise clinical suspicion. These parameters exhibit 78% combined diagnostic accuracy when &#x2265;4 abnormalities are present, though none are definitive alone (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref47">47</xref>). Histopathological analysis is considered the gold standard for diagnosing FIP. Currently, definitive confirmation of FIP can only be achieved through immunohistochemistry to detect FCoV antigen in biopsy samples, affected tissues, and macrophages present in effusion fluids (<xref ref-type="bibr" rid="ref3">3</xref>).</p>
<p>Currently, there is limited data on the epidemiology, clinicopathological features, and molecular characteristics of FCoVs in T&#x00FC;rkiye. This study aimed to investigate FCoV seroprevalence, perform molecular and phylogenetic analyses, and evaluate associations with signalment (including habitat), clinical and biochemical parameters, and histopathological findings in cats from Istanbul, T&#x00FC;rkiye. Additionally, we sought to generate novel data on circulating FCoV strains in Istanbul, which could serve as a reference for future prevention and control strategies against FCoV infections.</p>
</sec>
<sec sec-type="materials|methods" id="sec6">
<title>Materials and methods</title>
<sec id="sec7">
<title>Study population, clinical examination and sampling</title>
<p>This study was conducted on clinically ill cats suspected of FCoV infection based on serological analyses. The animals were referred to the Department of Internal Medicine at Veterinary Faculty of Istanbul University-Cerrahpasa between January 2018 and January 2020. Data on each cat&#x2019;s gender, breed, age, and origin (household, pet shop, or stray) were recorded. The study population consisted of 208 cats aged 2&#x202F;months to 15&#x202F;years, with a nearly equal gender distribution (103 females, 105 males). The cohort included 46 purebred and 162 mixed-breed cats. Based on origin, 165 were household cats, 37 were strays, and 13 were obtained from pet shops, while the origin of 5 cats remained undocumented.</p>
<p>All cats were clinically examined for the presence of fever, behavioral changes like depression and clinical signs related to organ systems, mainly respiratory (wheezing, dyspnea and abnormal lung sounds), gastrointestinal (mouth lesions, anorexia, vomitus, diarrhoea, weight loss, abdominal distension and/or ascites), circulatory (lymphoadenopathy, anaemia, icterus), urinary, ocular lesions (conjuctivitis, keratic precipitates, uveitis, hyphema, iridocyclitis, chorioretinitis) and central nervous system (epileptic seizures, ataxia) were recorded. Cats were enrolled as suspected FIP/FCoV cases if they demonstrated at least two of the following clinical signs: (1) systemic signs including prolonged fever (&#x003E;48&#x202F;h unresponsive to antibiotics), &#x003E;10% body weight loss, or persistent lethargy (&#x003E;7&#x202F;days); (2) effusive disease manifestations (ascites, pleural effusion, or pericardial effusion); or (3) non-effusive disease features such as ocular signs (uveitis, retinal vasculitis), neurological abnormalities (ataxia, seizures), or palpable abdominal masses (mesenteric lymphadenopathy). Cases were further supported by characteristic laboratory abnormalities including A: G ratio &#x003C;0.6, hyperglobulinemia (&#x003E;5&#x202F;g/dL), or lymphopenia (&#x003C;1.5&#x202F;&#x00D7;&#x202F;10<sup>3</sup>/&#x03BC;L). Cats were excluded from the study if they met any of the following conditions: (1) had alternative definitive diagnoses including positive FeLV/FIV status or confirmed cases of toxoplasmosis, bacterial peritonitis, or neoplasia (diagnosed via cytology or histopathology); (2) received prior FIP-specific treatment with antiviral or immunosuppressants (e.g., corticosteroids) within 14&#x202F;days preceding enrollment; or (3) presented with an incomplete diagnostic workup, specifically the absence of paired effusion/serum samples for effusive cases or missing baseline hematology and biochemistry profiles.</p>
<p>During the study, faecal swabs from all cats and abdominal (ascites) and/or pleural effusions from cats having &#x201C;Wet&#x201D; FIP were taken. Blood samples were also taken with and without EDTA from the cephalic vein for haematological and biochemical analyses and to detect antibodies to FCoV in all cats and feline immunodeficiency virus (FIV) and feline leukemia virus (FeLV) antigen in 36 cats as described below.</p>
<p>In addition to the study cohort, postmortem examinations and histopathological analyses were conducted on 43 cats that died with a presumptive diagnosis of FIP. These cases were referred to the Department of Pathology from veterinary clinics throughout Istanbul, T&#x00FC;rkiye. The inclusion of this additional cohort was designed to provide comprehensive pathological and molecular characterization of circulating FCoV strains in Istanbul. Complete tissue sampling was performed on all 43 cases, including brain, heart, lung, liver, kidneys, spleen, intestine, and mesenteric lymph nodes. When present, abdominal (ascitic) and/or pleural effusions were also collected and submitted to the Department of Virology for molecular analysis.</p>
<sec id="sec8">
<title>Serum sample analysis for FCoV, FIV and FeLV detection</title>
<p>Sera from the 208 cohort cats were analysed for the presence of antibodies to FCoV by using rapid Immunochromatographic assay to detect antibodies against FCoV (Bionote, Hwaseong, South Korea). The Antigen Rapid FCoV Ab Test Kit is a chromatographic immunoassay for the qualitative detection of FCoV antibodies in feline whole blood, serum, or plasma. In addition, 36 cats for FIV antibodies and FeLV antigen (IDEXX, Snap FIV/FeLV Combo Plus test kit) as described by the manufacturer.</p>
</sec>
</sec>
<sec id="sec9">
<title>Haematological and biochemical analyses</title>
<p>Blood samples from cats were analyzed for a complete blood haemogram&#x2013;histogram (15 parameters); specifically, total white blood cell count (WBC), red blood cell counts (RBC), haemoglobin, haematocrit, mean corpuscular volume (MCV), mean corpuscular haemoglobin concentration (MCHC), red cell distribution width (RDW), reticulocyte, lymphocyte, neutrophil, monocyte, eosinophil, basophil, platelet and mean platelet volume (MPV) as described by the manufacturer (IDEXX Procyte Dx Reagent Kit).</p>
<p>Samples from cats were also analyzed for comprehensive blood biochemistry (14 parameters); alanine aminotransferase (ALT), alkaline phosphatase (ALP), total bilirubin, total protein, albumin (alb), globulin (glob), albumin/globulin ratio, blood urea nitrogen (BUN), creatinine, glucose, phosphorus (P), calcium (Ca), gama-glutamyl transferase (GGT) and cholesterol were measured using commercial kits (IDEXX Catalyst Chem 15 and IDEXX Catalyst Chem 17).</p>
</sec>
<sec id="sec10">
<title>Postmortem examination and histopathology</title>
<p>Systematic necropsies were performed on 43 deceased cats submitted to the Department of Pathology. Gross lesions consistent with FIP including body cavity effusions, serosal thickening, nodular lesions, and mesenteric lymphadenomegaly were thoroughly assessed. Tissue samples from the brain, heart, lungs, liver, kidneys, spleen, intestines, and mesenteric lymph nodes were fixed in 10% buffered formalin for 24&#x202F;h, paraffin-embedded, sectioned at 3&#x2013;4&#x202F;&#x03BC;m, and stained with hematoxylin and eosin (H&#x0026;E). Additionally, liver, brain, and intestinal samples, along with pleural and/or abdominal effusions (when present), were stored at &#x2212;80&#x202F;&#x00B0;C for subsequent FCoV detection via real-time RT-PCR.</p>
<p>Histopathological evaluations were conducted by two board-certified veterinary pathologists. FIP-associated lesions such as fibrinous serositis, granulomatous inflammation, and vasculitis/perivasculitis in the kidneys, liver, lungs, brain, and intestines&#x2014;were documented and correlated with real-time RT-PCR results, gross pathology, and clinical history.</p>
</sec>
<sec id="sec11">
<title>Virological analyses</title>
<sec id="sec12">
<title>Extraction of RNA, cDNA synthesis and real time RT-PCR</title>
<p>For the extraction of RNA, about 25&#x202F;mg of tissue was mixed with glass beads and homogenised (Bullet Blender, Next Advance). Total RNA was then extracted from the homogenised tissues, ascites and pleural effusions and faecal swabs (incubated in lysis buffer 15&#x202F;min) by using a commercial RNA extraction kit (Cat No:12183018A, Invitrogen) as described by the manufacturer. The concentration of RNA was measured using a NanoDrop spectrophotometer (NanoDrop 1000c, Thermo Scientific, Waltham, USA).</p>
<p>In order to generate complementary DNA (cDNA), the total RNA was reverse transcribed by using a commercial cDNA synthesis kit (High Capacity cDNA reverse transcription kit, Cat. No: 4368814, Applied Biosystems&#x2122;) as described by the manufacturer.</p>
<p>For FCoV detection via real-time RT-qPCR, previously published primers and TaqMan probes (<xref ref-type="table" rid="tab1">Table 1</xref>), targeting the membrane-nucleocapsid gene junction of FCoV, were used (<xref ref-type="bibr" rid="ref17">17</xref>). Real time RT-qPCR was first optimised by using different amounts of primers, template DNA and reagents. An optimised real time RT-qPCRs consisted of 12.5&#x202F;&#x03BC;L Maxima Probe/ROX qPCR Master Mix (Thermo Scientific 2X Master Mix, Cat. No: K0231), 1&#x202F;&#x03BC;L forward primer (10&#x202F;&#x03BC;M), 1&#x202F;&#x03BC;L reverse primer (10&#x202F;&#x03BC;M), 1&#x202F;&#x03BC;L of TaqMan probe (10&#x202F;&#x03BC;M), 0.5&#x202F;&#x03BC;L MgCl<sub>2</sub> (50&#x202F;mM), 2&#x202F;&#x03BC;L cDNA and 7&#x202F;&#x03BC;L nuclease free water. All amplifications were performed in a real time PCR machine (Thermo Fisher Scientific, Applied Biosystems, StepOnePlus, USA). Cycling conditions were 95&#x202F;&#x00B0;C for 10&#x202F;min followed by 45&#x202F;cycles of 95&#x202F;&#x00B0;C for 10&#x202F;s, 56&#x202F;&#x00B0;C for 15&#x202F;s and 72&#x202F;&#x00B0;C for 15&#x202F;s. For all reactions, positive and negative controls were included. Nuclease-free water was used as the negative control in place of template. Positive controls consisted of cDNA from samples previously confirmed as FCoV-positive through sequence analysis at the Department of Virology, Veterinary Faculty of Istanbul University-Cerrahpasa.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Primers and probe used in this study for FCoV detection.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">PCR</th>
<th align="left" valign="top">Primer and probe</th>
<th align="left" valign="top">Target gene</th>
<th align="center" valign="top">Size</th>
<th align="center" valign="top">Position</th>
<th align="left" valign="top">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">RT-PCR</td>
<td align="left" valign="top">Primer F: CTTGGTGCACGTCTTGAATC</td>
<td align="left" valign="top" rowspan="2">Spike gene</td>
<td align="center" valign="top" rowspan="2">642&#x202F;bp</td>
<td align="center" valign="top">23106&#x2013;23125</td>
<td align="left" valign="top" rowspan="2">This study</td>
</tr>
<tr>
<td align="left" valign="top">Primer R: ACTCAACGC TTCACCCTG</td>
<td align="center" valign="top">23730 23747</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Real time RT-PCR</td>
<td align="left" valign="top">Primer F: AGCAACTACTGCCACRGGAT</td>
<td align="left" valign="top" rowspan="3">Memhrane-nucleocapsid gene</td>
<td align="center" valign="top" rowspan="3">171&#x202F;bp</td>
<td align="center" valign="top">26655&#x2013;26674</td>
<td align="left" valign="top" rowspan="3">Dye et al. (<xref ref-type="bibr" rid="ref17">17</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Primer R: GGAAGGTTCATCTCCCCAGT</td>
<td align="center" valign="top">26807&#x2013;26826</td>
</tr>
<tr>
<td align="left" valign="top">Taqman Probe: AATGGCCACACAGGGACAACGC</td>
<td align="center" valign="top">26781&#x2013;26802</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec13">
<title>Sequencing and phylogenetic analysis</title>
<p>Samples positive for FCoV by real time RT-qPCR were subjected to further RT-PCR to allow DNA sequencing analysis. A pair of primers designed in this study were used to amplify a 642&#x202F;bp region of the S gene of FCoV (<xref ref-type="table" rid="tab1">Table 1</xref>). The RT-PCR was first optimized by using different amounts of template and primers. An optimized 25&#x202F;&#x03BC;L PCR consisted of 12.5&#x202F;&#x03BC;L Maxima Probe/ROX qPCR Master Mix (Thermo Scientific 2X Master Mix, Cat. No: K0231, Lithuania), 1&#x202F;&#x03BC;L (10&#x202F;&#x03BC;M) of each primer, 0.5&#x202F;&#x03BC;L MgCl<sub>2</sub> (25&#x202F;mM) (Thermo Scientific, Cat. No: R0971, Lithuania), 2&#x202F;&#x03BC;L of cDNA and 8&#x202F;&#x03BC;L nuclease free water. Nuclease-free water was used as a negative control in place of template. Positive controls were obtained from samples previously submitted to the Department of Virology, Veterinary Faculty of Istanbul, and confirmed to be FCoV positive by RT-qPCR and sequencing. All amplifications were done in a qPCR instrument (Q-Tower, Analytik Jena, Germany). Cycling conditions were 95&#x202F;&#x00B0;C for 10&#x202F;min followed by 40&#x202F;cycles of 94&#x202F;&#x00B0;C for 1&#x202F;min, 55&#x202F;&#x00B0;C for 1&#x202F;min, 72&#x202F;&#x00B0;C for 1&#x202F;min and finally 72&#x202F;&#x00B0;C for 10&#x202F;min. Amplification products were separated in 1.5% agarose gels containing 0.25&#x202F;&#x03BC;g/mL nucleic acid staining solution (INTRON Biotechnology, RedSafe, Cat No: 21141) by electrophoresis. Amplified PCR products were sent to a commercial company for Sanger sequencing (MedSantek, Istanbul, T&#x00FC;rkiye).</p>
<p>For phylogenetic analysis, nucleotide sequences of the partial S gene PCR products were manually edited in Chromas Pro and aligned using the MAFFT version 7 (online version) (<xref ref-type="bibr" rid="ref50">50</xref>). Data available in the National Centre for Biotechnology Information (NCBI) were used to compare the genotypic relationship between FCoV strains from this study and other FCoV strains submitted from other countries. The maximum Likelihood: RAxML method was used to construct the phylogenetic tree with 1,000 Bootstrap replicates using MegAlign Pro Software (DNASTAR). Circle format of the phylogenetic tree was reconstructed by FigTree (Version 1.4.5 pre). MegAlign Pro Software (DNASTAR) was used to determine the percentage identity between the FCoV strains. Partial S gene sequences of 68 field strains of FCoV detected in this study were submitted to GenBank. Reference strains for FCoV type 1 (JN183882.1, FJ938060.1, MH817484.1, LC742526.1, PP908788.1, KU215428.1, DQ848678.1) and FCoV type 2 (NC_002306.3, PP526173.1, KC461237.1, OQ311323.1, JQ408981) were used for comparative analysis. In addition, canine and porcine coronavirus reference strains were also included for analysis (GQ477367.1, DQ811787.1).</p>
</sec>
<sec id="sec14">
<title>Recombination analysis</title>
<p>Gene recombination analysis was performed using RDP5 (v.5.45) in the aligned genome sequences. We used seven methods in RDP5 including RDP, GENECONV, 3Seq, Chimera, Bootscan, SiScan and MaxChi (<xref ref-type="bibr" rid="ref51">51</xref>).</p>
</sec>
</sec>
<sec id="sec15">
<title>Statistical analyses</title>
<p>Data were analyzed using GraphPad-Prism (Version 10.2.3). Fisher&#x2019;s exact test (<xref ref-type="bibr" rid="ref52">52</xref>) was used to compare the proportion of FCoV seropositive cats and RT-qPCR positive cats according to cat demographic and habitat variables and the proportion of clinical signs in FCoV seropositive/PCR positive and seronegative/PCR negative cats. In our primary analysis, we reported unadjusted <italic>p</italic>-values to maintain full transparency of all statistical results in context of effect sizes(e.g., odds ratios with 95% confidence intervals), and biological plausibility.</p>
<p>Biochemical and haematological results were categorized as being within (normal), above (high) or below (low) reference values (<xref ref-type="bibr" rid="ref53">53</xref>). The independent relationship between FCoV PCR results status, and a cat&#x2019;s demographic and habitat variables was further investigated using logistic regression analysis (<xref ref-type="bibr" rid="ref54">54</xref>). FCoV was the binary outcome variable (seropositive or seronegative and PCR-positive and PCR-negative). The explanatory variables included those associated at <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05 with FCoV serological and PCR results status in the univariable analysis; age, examination year and the variable reflecting habitat, outdoor access and contact with other cats. All variables were modeled as categorical, with the exception of age. Age was categorized into five levels ranging from 2&#x202F;months to 15&#x202F;years old. Model parameters were estimated using the maximum likelihood estimation method and significance was taken for alpha less than 5% for a double sided test.</p>
</sec>
</sec>
<sec sec-type="results" id="sec16">
<title>Results</title>
<sec id="sec17">
<title>Prevalence of FCoV</title>
<p>FCoV RNA was detected in faecal swabs by real time RT-qPCR in 79 of 208 cats analyzed, with an estimated prevalence of 38% (31.4&#x2013;44.6%, 95% confidence interval). The results included 44/101 cats (44%) analyzed in 2018 and 35/107 (33%) in 2019 (<italic>p</italic>&#x202F;&#x003E;&#x202F;0.05) (<xref ref-type="table" rid="tab2">Table 2</xref>). Seroprevalence of FCoV was 90.9% (189/208, 87.0&#x2013;94.8, 95% confidence interval) (<xref ref-type="table" rid="tab3">Table 3</xref>). Seroprevalence was similar in 2018 and 2019, and was not associated with cat demographic and habitat variables (<italic>p</italic>&#x202F;&#x003E;&#x202F;0.05).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>The estimated FCoV PCR prevalence according to year and cat demographic variables.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Variables</th>
<th align="left" valign="top" rowspan="2">Parameters</th>
<th align="center" valign="top" rowspan="2">
<italic>N</italic>
</th>
<th align="center" valign="top" rowspan="2">Negative</th>
<th align="center" valign="top" rowspan="2">Positive</th>
<th align="center" valign="top" rowspan="2">% Positive</th>
<th align="center" valign="top" colspan="2">95%CI</th>
<th align="center" valign="top" rowspan="2"><italic>p</italic> value</th>
<th align="left" valign="top" rowspan="2">Statistically significant (<italic>p</italic> &#x003C;&#x202F;0.05)</th>
</tr>
<tr>
<th align="center" valign="top">Lower</th>
<th align="center" valign="top">Upper</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">Study year</td>
<td align="left" valign="top">2018</td>
<td align="center" valign="top">101</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">44</td>
<td align="center" valign="top">44</td>
<td align="center" valign="top">34</td>
<td align="center" valign="top">53</td>
<td align="center" valign="top" rowspan="2">0.1176</td>
<td align="left" valign="top" rowspan="2">No</td>
</tr>
<tr>
<td align="left" valign="top">2019</td>
<td align="center" valign="top">107</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">33</td>
<td align="center" valign="top">24</td>
<td align="center" valign="top">42</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Gender</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">103</td>
<td align="center" valign="top">64</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">38</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top" rowspan="2">&#x003E;0.9999</td>
<td align="left" valign="top" rowspan="2">No</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">105</td>
<td align="center" valign="top">65</td>
<td align="center" valign="top">40</td>
<td align="center" valign="top">38</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">47</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Breed</td>
<td align="left" valign="top">Cross breed</td>
<td align="center" valign="top">162</td>
<td align="center" valign="top">107</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">34</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">41</td>
<td align="center" valign="top" rowspan="2">0.038</td>
<td align="left" valign="top" rowspan="2">Yes</td>
</tr>
<tr>
<td align="left" valign="top">Pure breed</td>
<td align="center" valign="top">46</td>
<td align="center" valign="top">22</td>
<td align="center" valign="top">24</td>
<td align="center" valign="top">52</td>
<td align="center" valign="top">38</td>
<td align="center" valign="top">67</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="8">Age (years)</td>
<td align="left" valign="top">1&#x202F;=&#x202F;2 to &#x003C;6&#x202F;month</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">49</td>
<td align="center" valign="top">33</td>
<td align="center" valign="top">64</td>
<td align="center" valign="top" rowspan="8">0.4714</td>
<td align="left" valign="top" rowspan="8">No</td>
</tr>
<tr>
<td align="left" valign="top">2&#x202F;=&#x202F;6&#x202F;month to &#x003C;1 age</td>
<td align="center" valign="top">64</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">51</td>
</tr>
<tr>
<td align="left" valign="top">3&#x202F;=&#x202F;1 to &#x003C;2 age</td>
<td align="center" valign="top">48</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">22</td>
<td align="center" valign="top">49</td>
</tr>
<tr>
<td align="left" valign="top">4&#x202F;=&#x202F;2 to &#x003C;3 age</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">56</td>
</tr>
<tr>
<td align="left" valign="top">5&#x202F;=&#x202F;3 to &#x003C;4 age</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">&#x2212;5</td>
<td align="center" valign="top">45</td>
</tr>
<tr>
<td align="left" valign="top">6&#x202F;=&#x202F;4 to &#x003C;6 age</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">24</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">44</td>
</tr>
<tr>
<td align="left" valign="top">7&#x202F;=&#x202F;6 to &#x003C;11 age</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">56</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">88</td>
</tr>
<tr>
<td align="left" valign="top">8&#x202F;=&#x202F;&#x003E;11 age</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>The estimated FCoV seroprevalence according to year and cat demographic variables.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Variables</th>
<th align="left" valign="top" rowspan="2">Parameters</th>
<th align="center" valign="top" rowspan="2">
<italic>N</italic>
</th>
<th align="center" valign="top" rowspan="2">Negative</th>
<th align="center" valign="top" rowspan="2">Positive</th>
<th align="center" valign="top" rowspan="2">% Positive</th>
<th align="center" valign="top" colspan="2">95%CI</th>
<th align="center" valign="top" rowspan="2"><italic>p</italic> value</th>
<th align="left" valign="top" rowspan="2">Statistically significant (<italic>p</italic> &#x003C;&#x202F;0.05)</th>
</tr>
<tr>
<th align="center" valign="top">Lower</th>
<th align="center" valign="top">Upper</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">Study year</td>
<td align="left" valign="top">2018</td>
<td align="center" valign="top">101</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">93</td>
<td align="center" valign="top">92</td>
<td align="center" valign="top">87</td>
<td align="center" valign="top">97</td>
<td align="center" valign="top" rowspan="2">0.634</td>
<td align="left" valign="top" rowspan="2">No</td>
</tr>
<tr>
<td align="left" valign="top">2019</td>
<td align="center" valign="top">107</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">96</td>
<td align="center" valign="top">90</td>
<td align="center" valign="top">84</td>
<td align="center" valign="top">95</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Gender</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">103</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">94</td>
<td align="center" valign="top">91</td>
<td align="center" valign="top">86</td>
<td align="center" valign="top">97</td>
<td align="center" valign="top" rowspan="2">&#x003E;0.9999</td>
<td align="left" valign="top" rowspan="2">No</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">105</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">95</td>
<td align="center" valign="top">90</td>
<td align="center" valign="top">85</td>
<td align="center" valign="top">96</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Breed</td>
<td align="left" valign="top">Cross breed</td>
<td align="center" valign="top">162</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">145</td>
<td align="center" valign="top">90</td>
<td align="center" valign="top">85</td>
<td align="center" valign="top">94</td>
<td align="center" valign="top" rowspan="2">0.2572</td>
<td align="left" valign="top" rowspan="2">No</td>
</tr>
<tr>
<td align="left" valign="top">Pure breed</td>
<td align="center" valign="top">46</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">44</td>
<td align="center" valign="top">96</td>
<td align="center" valign="top">90</td>
<td align="center" valign="top">102</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="8">Age (years)</td>
<td align="left" valign="top">1&#x202F;=&#x202F;2 to &#x003C;6&#x202F;month</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">82</td>
<td align="center" valign="top">70</td>
<td align="center" valign="top">94</td>
<td align="center" valign="top" rowspan="8">0.090</td>
<td align="left" valign="top" rowspan="8">No</td>
</tr>
<tr>
<td align="left" valign="top">2&#x202F;=&#x202F;6 month to &#x003C;1 age</td>
<td align="center" valign="top">64</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">60</td>
<td align="center" valign="top">94</td>
<td align="center" valign="top">88</td>
<td align="center" valign="top">100</td>
</tr>
<tr>
<td align="left" valign="top">3&#x202F;=&#x202F;1 to &#x003C;2 age</td>
<td align="center" valign="top">48</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">98</td>
<td align="center" valign="top">94</td>
<td align="center" valign="top">102</td>
</tr>
<tr>
<td align="left" valign="top">4&#x202F;=&#x202F;2 to &#x003C;3 age</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">85</td>
<td align="center" valign="top">69</td>
<td align="center" valign="top">101</td>
</tr>
<tr>
<td align="left" valign="top">5&#x202F;=&#x202F;3 to &#x003C;4 age</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">90</td>
<td align="center" valign="top">71</td>
<td align="center" valign="top">109</td>
</tr>
<tr>
<td align="left" valign="top">6&#x202F;=&#x202F;4 to &#x003C;6 age</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">94</td>
<td align="center" valign="top">83</td>
<td align="center" valign="top">105</td>
</tr>
<tr>
<td align="left" valign="top">7&#x202F;=&#x202F;6 to &#x003C;11 age</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">78</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top">105</td>
</tr>
<tr>
<td align="left" valign="top">8&#x202F;=&#x202F;&#x003E;11 age</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">100</td>
<td align="center" valign="top">100</td>
<td align="center" valign="top">100</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Amongst 36 cats tested for FIV and FeLV, 12 cats were found to be positive for FCoV RNA. In 12 FCoV PCR positive cats, only 1 cat for FIV and 1 cat for FeLV were positive.</p>
<p>The relationship between FCoV-RNA positivity (infection), signalment, and habitat variables for the cats analyzed in this study are presented in <xref ref-type="table" rid="tab2">Tables 2</xref>, <xref ref-type="table" rid="tab4">4</xref>&#x2013;<xref ref-type="table" rid="tab6">6</xref>. No significant association was found in FCoV RNA positivity with age and gender while significant association was found in FCoV-RNA positivity with crossbreed cats (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) (<xref ref-type="table" rid="tab2">Table 2</xref>). When the habitat of the cats considered, the percentage of FCoV-RNA positive cats was 38% (63/166) in household and 32% (12/37) in street cats (<xref ref-type="table" rid="tab4">Table 4</xref>). The FCoV-RNA positivity in the category of origins was as follows; 42.2% (19/45) in home raised cats, 61.5% (8/13) in petshop cats and 66.9% (97/145) in street cats. Amongst these cats, 30.7% (35/114) of the cats cohabitating with other cats and 23% (14/61) had access outdoors and were cohabitating with other cats. When the presence of FCoV-RNA is considered, the origin, access to outdoor and cohabitation with other cats were statistically significant (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) (<xref ref-type="table" rid="tab4">Table 4</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>The estimated FCoV PCR prevalence according to cat&#x2019;s FCoV antibody status origin and habitat variables.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Variables</th>
<th align="left" valign="top" rowspan="2">Parameters</th>
<th align="center" valign="top" rowspan="2">
<italic>N</italic>
</th>
<th align="center" valign="top" rowspan="2">Negative</th>
<th align="center" valign="top" rowspan="2">Positive</th>
<th align="center" valign="top" rowspan="2">% Positive</th>
<th align="center" valign="top" colspan="2">95%CI</th>
<th align="center" valign="top" rowspan="2"><italic>p</italic> value</th>
<th align="left" valign="top" rowspan="2">Statistically significant (<italic>p</italic> &#x003C;&#x202F;0.05)</th>
</tr>
<tr>
<th align="center" valign="top">Lower</th>
<th align="center" valign="top">Upper</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">FCoV serodiagnosis</td>
<td align="left" valign="top">FCoV antibody positive</td>
<td align="center" valign="top">189</td>
<td align="center" valign="top">116</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">46</td>
<td align="center" valign="top" rowspan="2">0.6267</td>
<td align="left" valign="top" rowspan="2">No</td>
</tr>
<tr>
<td align="left" valign="top">FCoV antibody negative</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">31.6</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">52</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Home/</td>
<td align="left" valign="top">Household</td>
<td align="center" valign="top">166</td>
<td align="center" valign="top">103</td>
<td align="center" valign="top">63</td>
<td align="center" valign="top">38.0</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top" rowspan="2">0.5768</td>
<td align="left" valign="top" rowspan="2">No</td>
</tr>
<tr>
<td align="left" valign="top">Street</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">32.4</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">48</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Origin</td>
<td align="left" valign="top">Home raised</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">42.2</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top" rowspan="3">0.0127</td>
<td align="left" valign="top" rowspan="3">Yes</td>
</tr>
<tr>
<td align="left" valign="top">Pet shop</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">61.5</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">88</td>
</tr>
<tr>
<td align="left" valign="top">Street</td>
<td align="center" valign="top">145</td>
<td align="center" valign="top">48</td>
<td align="center" valign="top">97</td>
<td align="center" valign="top">66.9</td>
<td align="center" valign="top">59</td>
<td align="center" valign="top">75</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Outdoor access</td>
<td align="left" valign="top">No</td>
<td align="center" valign="top">142</td>
<td align="center" valign="top">81</td>
<td align="center" valign="top">61</td>
<td align="center" valign="top">43.0</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top" rowspan="2">0.0071</td>
<td align="left" valign="top" rowspan="2">Yes</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">61</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">23.0</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">34</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Cohabitating with other cats</td>
<td align="left" valign="top">No</td>
<td align="center" valign="top">89</td>
<td align="center" valign="top">49</td>
<td align="center" valign="top">40</td>
<td align="center" valign="top">44.9</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top" rowspan="2">0.0412</td>
<td align="left" valign="top" rowspan="2">Yes</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">114</td>
<td align="center" valign="top">79</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">30.7</td>
<td align="center" valign="top">22</td>
<td align="center" valign="top">39</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>The estimated FCoV PCR prevalence according to cat habitat variables.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Variables</th>
<th align="left" valign="top" rowspan="2">Level</th>
<th align="center" valign="top" colspan="3">Origin</th>
<th align="center" valign="top" rowspan="2">
<italic>N</italic>
</th>
<th align="center" valign="top" rowspan="2">Negative</th>
<th align="center" valign="top" rowspan="2">Positive</th>
<th align="center" valign="top" rowspan="2">% Positive</th>
<th align="center" valign="top" colspan="2">95%CI</th>
<th align="center" valign="top" rowspan="2"><italic>p</italic> value</th>
<th align="left" valign="top" rowspan="2">Statistically significant (<italic>p</italic> &#x003C;&#x202F;0.05)</th>
</tr>
<tr>
<th align="center" valign="top">Home raised</th>
<th align="center" valign="top">Pet shop</th>
<th align="center" valign="top">Street</th>
<th align="center" valign="top">Lower</th>
<th align="center" valign="top">Upper</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="4">Home; outdoor access; cohabitating with other cats</td>
<td align="left" valign="top">Street; yes; yes</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">48</td>
<td align="center" valign="top" rowspan="4">0.0058</td>
<td align="left" valign="top" rowspan="4">Yes</td>
</tr>
<tr>
<td align="left" valign="top">House; no; no</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">59</td>
<td align="center" valign="top">89</td>
<td align="center" valign="top">49</td>
<td align="center" valign="top">40</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">55</td>
</tr>
<tr>
<td align="left" valign="top">House; no; yes</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">53</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">40</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">53</td>
</tr>
<tr>
<td align="left" valign="top">House; yes; yes</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">24</td>
<td align="center" valign="top">22</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">&#x2212;3</td>
<td align="center" valign="top">19</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>The estimated risk of FCoV PCR-positivity according to year and cats age and habitat variables.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Variables</th>
<th align="left" valign="top" rowspan="2">Level</th>
<th align="center" valign="top" rowspan="2">Odds ratio</th>
<th align="center" valign="top" colspan="2">95%CI</th>
<th align="center" valign="top" rowspan="2"><italic>p</italic> value</th>
<th align="left" valign="top" rowspan="2">Statistically significant (<italic>p</italic> &#x003C;&#x202F;0.05)</th>
</tr>
<tr>
<th align="center" valign="top">Lower</th>
<th align="center" valign="top">Upper</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">Study year</td>
<td align="left" valign="top">2018</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">2019</td>
<td align="center" valign="top">0.7436</td>
<td align="center" valign="top">0.4015</td>
<td align="center" valign="top">1.371</td>
<td align="center" valign="top">0.3432</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">Age (years)</td>
<td align="left" valign="top">1&#x202F;=&#x202F;1 to &#x003C;6&#x202F;month</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">2&#x202F;=&#x202F;6 to &#x003C;11&#x202F;month</td>
<td align="center" valign="top">0.6322</td>
<td align="center" valign="top">0.2661</td>
<td align="center" valign="top">1.487</td>
<td align="center" valign="top">0.2942</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">3&#x202F;=&#x202F;11 to &#x003C;23&#x202F;month</td>
<td align="center" valign="top">0.6217</td>
<td align="center" valign="top">0.2473</td>
<td align="center" valign="top">1.541</td>
<td align="center" valign="top">0.3065</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">4&#x202F;=&#x202F;23 to &#x003C;60&#x202F;month</td>
<td align="center" valign="top">0.3668</td>
<td align="center" valign="top">0.141</td>
<td align="center" valign="top">0.921</td>
<td align="center" valign="top">0.0352</td>
<td align="left" valign="top">Yes</td>
</tr>
<tr>
<td align="left" valign="top">5&#x202F;=&#x202F;60 to &#x003C;180&#x202F;month</td>
<td align="center" valign="top">1.389</td>
<td align="center" valign="top">0.3098</td>
<td align="center" valign="top">6.502</td>
<td align="center" valign="top">0.6662</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Home; outdoor access; cohabitating with other cats</td>
<td align="left" valign="top">House; no; no</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">House; no; yes</td>
<td align="center" valign="top">0.8218</td>
<td align="center" valign="top">0.4009</td>
<td align="center" valign="top">1.668</td>
<td align="center" valign="top">0.5882</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">House; yes; yes</td>
<td align="center" valign="top">0.1086</td>
<td align="center" valign="top">0.0165</td>
<td align="center" valign="top">0.411</td>
<td align="center" valign="top">0.0045</td>
<td align="left" valign="top">Yes</td>
</tr>
<tr>
<td align="left" valign="top">Street; yes; yes</td>
<td align="center" valign="top">0.5943</td>
<td align="center" valign="top">0.251</td>
<td align="center" valign="top">1.353</td>
<td align="center" valign="top">0.223</td>
<td align="left" valign="top">No</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Data about the serological status, signalment and habitat variables of the cats analysed in this study is given in <xref ref-type="table" rid="tab7">Table 7</xref>. No significant association was found in FCoV seroprevalence with breed, age and gender. When the habitat of the cats was considered, the percentage of FCoV positive cats was 91% (41/45) in home raised, 92.1% (105/114) in cats cohabitating with other cats and 93.4% (57/61) in cats that had access to outdoors. These findings were not statistically significant.</p>
<table-wrap position="float" id="tab7">
<label>Table 7</label>
<caption>
<p>The estimated FCoV seroprevalence according to cat origin and habitat variables.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Variables</th>
<th align="left" valign="top" rowspan="2">Level</th>
<th align="center" valign="top" rowspan="2">
<italic>N</italic>
</th>
<th align="center" valign="top" rowspan="2">Negative</th>
<th align="center" valign="top" rowspan="2">Positive</th>
<th align="center" valign="top" rowspan="2">% Positive</th>
<th align="center" valign="top" colspan="2">95%CI</th>
<th align="center" valign="top" rowspan="2"><italic>p</italic> value</th>
<th align="left" valign="top" rowspan="2">Statistically significant (<italic>p</italic> &#x003C;&#x202F;0.05)</th>
</tr>
<tr>
<th align="center" valign="top">Lower</th>
<th align="center" valign="top">Upper</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">Home</td>
<td align="left" valign="top">Household</td>
<td align="center" valign="top">166</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">151</td>
<td align="center" valign="top">91.0</td>
<td align="center" valign="top">87</td>
<td align="center" valign="top">95</td>
<td align="center" valign="top" rowspan="2">0.7559</td>
<td align="left" valign="top" rowspan="2">No</td>
</tr>
<tr>
<td align="left" valign="top">Street</td>
<td align="center" valign="top">37.0</td>
<td align="center" valign="top">4.0</td>
<td align="center" valign="top">33.0</td>
<td align="center" valign="top">89.2</td>
<td align="center" valign="top">79</td>
<td align="center" valign="top">99</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Origin</td>
<td align="left" valign="top">Home raised</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">41</td>
<td align="center" valign="top">91.1</td>
<td align="center" valign="top">83</td>
<td align="center" valign="top">99</td>
<td align="center" valign="top" rowspan="3">&#x003E;0.9999</td>
<td align="left" valign="top" rowspan="3">No</td>
</tr>
<tr>
<td align="left" valign="top">Pet shop</td>
<td align="center" valign="top">13.0</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">12.0</td>
<td align="center" valign="top">92.3</td>
<td align="center" valign="top">78</td>
<td align="center" valign="top">107</td>
</tr>
<tr>
<td align="left" valign="top">Street</td>
<td align="center" valign="top">145</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">131</td>
<td align="center" valign="top">90.3</td>
<td align="center" valign="top">86</td>
<td align="center" valign="top">95</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Outdoor access</td>
<td align="left" valign="top">No</td>
<td align="center" valign="top">142.0</td>
<td align="center" valign="top">15.0</td>
<td align="center" valign="top">127.0</td>
<td align="center" valign="top">89.4</td>
<td align="center" valign="top">84</td>
<td align="center" valign="top">94</td>
<td align="center" valign="top" rowspan="2">0.4413</td>
<td align="left" valign="top" rowspan="2">No</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">61</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">93.4</td>
<td align="center" valign="top">87</td>
<td align="center" valign="top">100</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Cohabitating with other cats</td>
<td align="left" valign="top">No</td>
<td align="center" valign="top">89.0</td>
<td align="center" valign="top">10.0</td>
<td align="center" valign="top">79.0</td>
<td align="center" valign="top">88.8</td>
<td align="center" valign="top">82</td>
<td align="center" valign="top">95</td>
<td align="center" valign="top" rowspan="2">0.4714</td>
<td align="left" valign="top" rowspan="2">No</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">114</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">105</td>
<td align="center" valign="top">92.1</td>
<td align="center" valign="top">87</td>
<td align="center" valign="top">97</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Logistic regression analysis confirmed the independent relationship of FCoV-RNA status of household cats (habitat), access to outdoor and having contact with other cats (<xref ref-type="table" rid="tab5">Table 5</xref>). In addition, the presence of FCoV RNA in cats between the age of 23&#x202F;months to 60&#x202F;months was statistically significant (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) (<xref ref-type="table" rid="tab6">Table 6</xref>).</p>
</sec>
<sec id="sec18">
<title>Clinical-signs</title>
<p>Table PCR-PCR3 presents the percentage of 79 FCoV-PCR positive cats exhibiting specific clinical signs. Clinical signs and associated percentages in these cats were weight loss (47%), depression/dullness (44%), respiratory distress (16%), vomiting (13%), ascites (13%), abdominal distention with no ascites (11%), epileptic fits (13%), ocular lesions (11%), urinary signs (9%), stomatitis (8%), diarrhoea (6%) and fever (5%). Fever, depression, diarrhoea, and Ascites were significantly more common in PCR-positive than in PCR-negative cats (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) (<xref ref-type="table" rid="tab8">Table 8</xref>).</p>
<table-wrap position="float" id="tab8">
<label>Table 8</label>
<caption>
<p>The estimated prevalence of clinical signs according to cat&#x2019;s FCoV RT-qPCR status.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="3">Clinical findings</th>
<th align="center" valign="top" colspan="5">FCoV RT-PCR positive</th>
<th align="center" valign="top" colspan="5">FCoV RT-PCR negative</th>
<th align="center" valign="top" rowspan="3"><italic>p</italic> value</th>
<th align="left" valign="top" rowspan="3">Statistically significant (<italic>p</italic> &#x003C;&#x202F;0.05)</th>
</tr>
<tr>
<th align="center" valign="top" rowspan="2">
<italic>N</italic>
</th>
<th align="center" valign="top" rowspan="2">No. affected</th>
<th align="center" valign="top" rowspan="2">% Positive</th>
<th align="center" valign="top" colspan="2">95%CI</th>
<th align="center" valign="top" rowspan="2">N</th>
<th align="center" valign="top" rowspan="2">No. affected</th>
<th align="center" valign="top" rowspan="2">% Negative</th>
<th align="center" valign="top" colspan="2">95%CI</th>
</tr>
<tr>
<th align="center" valign="top">Lower</th>
<th align="center" valign="top">Upper</th>
<th align="center" valign="top">Lower</th>
<th align="center" valign="top">Upper</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Fever</td>
<td align="center" valign="top">79</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">129</td>
<td align="center" valign="top">22</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">0.0325</td>
<td align="left" valign="top">Yes</td>
</tr>
<tr>
<td align="left" valign="top">Depression or dullness</td>
<td align="center" valign="top">79</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">44</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">129</td>
<td align="center" valign="top">82</td>
<td align="center" valign="top">64</td>
<td align="center" valign="top">62</td>
<td align="center" valign="top">66</td>
<td align="center" valign="top">0.0093</td>
<td align="left" valign="top">Yes</td>
</tr>
<tr>
<td align="left" valign="top">Diarrhea</td>
<td align="center" valign="top">79</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">129</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">0.0209</td>
<td align="left" valign="top">Yes</td>
</tr>
<tr>
<td align="left" valign="top">Stomatitis</td>
<td align="center" valign="top">79</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">129</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">0.8018</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Ocular signs</td>
<td align="center" valign="top">79</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">129</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Weight loss</td>
<td align="center" valign="top">79</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">44</td>
<td align="center" valign="top">50</td>
<td align="center" valign="top">129</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">54</td>
<td align="center" valign="top">59</td>
<td align="center" valign="top">0.1985</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Vomiting</td>
<td align="center" valign="top">79</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">129</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">22</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">0.1385</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Abdominal distention</td>
<td align="center" valign="top">79</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">129</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">0.1760</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Ascites</td>
<td align="center" valign="top">79</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">129</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">0.0493</td>
<td align="left" valign="top">Yes</td>
</tr>
<tr>
<td align="left" valign="top">Pleural effusion</td>
<td align="center" valign="top">79</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">129</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">0.0291</td>
<td align="left" valign="top">Yes</td>
</tr>
<tr>
<td align="left" valign="top">Respiratory sign</td>
<td align="center" valign="top">79</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">129</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">0.1694</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Dysuria</td>
<td align="center" valign="top">79</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">129</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">0.5824</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Epilepsy</td>
<td align="center" valign="top">79</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">129</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">0.2154</td>
<td align="left" valign="top">No</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Amongst the 189 FCoV seropositive cats, 57% were depressed, 52% had weight loss, 21% showed respiratory distress, 19% had ascites and 15% abdominal distension, vomiting and diarrhea were present in 17 and 12%, respectively, 12% had ocular signs and 7%&#x2013;8% had stomatitis, urinary signs, pleural effusion and epileptic fits (<xref ref-type="table" rid="tab9">Table 9</xref>). The percentage of cats with pleural effusion was significantly lower in seropositive compared to seronegative animals <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05 (<xref ref-type="table" rid="tab9">Table 9</xref>).</p>
<table-wrap position="float" id="tab9">
<label>Table 9</label>
<caption>
<p>The estimated prevalence of clinical signs according to cat FCoV antibody status.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="3">Clinical findings</th>
<th align="center" valign="top" colspan="5">FCoV seropositive</th>
<th align="center" valign="top" colspan="5">FCoV seronegative</th>
<th align="center" valign="top" rowspan="3"><italic>p</italic> value</th>
<th align="left" valign="top" rowspan="3">Statistically significant (<italic>p</italic> &#x003C;&#x202F;0.05)</th>
</tr>
<tr>
<th align="center" valign="top" rowspan="2">
<italic>N</italic>
</th>
<th align="center" valign="top" rowspan="2">No. affected</th>
<th align="center" valign="top" rowspan="2">% Positive</th>
<th align="center" valign="top" colspan="2">95%CI</th>
<th align="center" valign="top" rowspan="2">
<italic>N</italic>
</th>
<th align="center" valign="top" rowspan="2">No. affected</th>
<th align="center" valign="top" rowspan="2">% Negative</th>
<th align="center" valign="top" colspan="2">95%CI</th>
</tr>
<tr>
<th align="center" valign="top">Lower</th>
<th align="center" valign="top">Upper</th>
<th align="center" valign="top">Lower</th>
<th align="center" valign="top">Upper</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Fever</td>
<td align="center" valign="top">189</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Depression or dullness</td>
<td align="center" valign="top">189</td>
<td align="center" valign="top">107</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">53</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">0.8105</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Diarrhea</td>
<td align="center" valign="top">189</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">22</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">0.1475</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Stomatitis</td>
<td align="center" valign="top">189</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">0.6723</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Ocular signs</td>
<td align="center" valign="top">189</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Weight loss</td>
<td align="center" valign="top">189</td>
<td align="center" valign="top">99</td>
<td align="center" valign="top">52</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top">54</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">52</td>
<td align="center" valign="top">63</td>
<td align="center" valign="top">0.8103</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Vomiting</td>
<td align="center" valign="top">189</td>
<td align="center" valign="top">33</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">22</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">0.3529</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Abdominal distention</td>
<td align="center" valign="top">189</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">22</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">0.1939</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Ascites</td>
<td align="center" valign="top">189</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">0.2219</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Pleural effusion</td>
<td align="center" valign="top">189</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">0.0006</td>
<td align="left" valign="top">Yes</td>
</tr>
<tr>
<td align="left" valign="top">Respiratory signs</td>
<td align="center" valign="top">189</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">22</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">0.2564</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Dysuria</td>
<td align="center" valign="top">189</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.3703</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Epilepsy</td>
<td align="center" valign="top">189</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">0.3919</td>
<td align="left" valign="top">No</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec19">
<title>Hematological and biochemical findings</title>
<p>The clinical hematology and biochemistry results for FCoV-RNA positive cats (<italic>n</italic>&#x202F;=&#x202F;72&#x2013;73) are summarized in <xref ref-type="table" rid="tab10">Table 10</xref>. Notably, 24% of cats exhibited high WBC counts, with elevated monocyte and neutrophil levels in 51 and 29% of cases, respectively, while 40% had low eosinophil counts. Additionally, 25% of cats had low RBC counts, 47% had reduced hemoglobin levels, and 52% had low hematocrit. Thrombocyte counts were abnormally low in 27% of cats. Furthermore, 97% of 37 cats tested had a decreased albumin/globulin ratio, while low BUN and creatinine levels were observed in 41 and 24% of cases, respectively (<xref ref-type="table" rid="tab10">Table 10</xref>). Elevated ALT activity was detected in 19% of cats, and bilirubinemia was present in 28%. There were no significant differences between FCoV-RNA positive and negative cats in the proportion of abnormally high or low values of haematological and biochemical parameters analyzed except in the percentage of cats with low albumin/globulin ratio with was significantly higher among FCoV-RNA positive cats (<xref ref-type="table" rid="tab10">Table 10</xref>).</p>
<table-wrap position="float" id="tab10">
<label>Table 10</label>
<caption>
<p>The estimated prevalence of abnormal levels of haematological and biochemical clinicopathological parameters according to cat&#x2019;s FCoV RT-qPCR status.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="3">Variables</th>
<th align="center" valign="top" colspan="5">FCoV RT-PCR positive</th>
<th align="center" valign="top" colspan="5">FCoV RT-PCR negative</th>
<th align="center" valign="top" rowspan="3"><italic>p</italic> value</th>
<th align="left" valign="top" rowspan="3">Statistically significant (<italic>p</italic> &#x003C;&#x202F;0.05)</th>
</tr>
<tr>
<th align="center" valign="top" rowspan="2">
<italic>N</italic>
</th>
<th align="center" valign="top" rowspan="2">No. affected</th>
<th align="center" valign="top" rowspan="2">%95CI</th>
<th align="center" valign="top" colspan="2">95%CI</th>
<th align="center" valign="top" rowspan="2">
<italic>N</italic>
</th>
<th align="center" valign="top" rowspan="2">No. affected</th>
<th align="center" valign="top" rowspan="2">%95CI</th>
<th align="center" valign="top" colspan="2">95%CI</th>
</tr>
<tr>
<th align="center" valign="top">Lower</th>
<th align="center" valign="top">Upper</th>
<th align="center" valign="top">Lower</th>
<th align="center" valign="top">Upper</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="13">Hematology</td>
</tr>
<tr>
<td align="left" valign="top">High WBC</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">24</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">119</td>
<td align="center" valign="top">44</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">0.0572</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low WBC</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">119</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">0.5395</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High lymphocytic count</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">118</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">0.6268</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low lymphocytic count</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">118</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High red blood cell count</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low red blood cell count</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">0.6178</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High hemoglobin</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.3782</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low hemoglobin</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">34</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">44</td>
<td align="center" valign="top">49</td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">52</td>
<td align="center" valign="top">43</td>
<td align="center" valign="top">41</td>
<td align="center" valign="top">46</td>
<td align="center" valign="top">0.7653</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High hematocrit</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">0.5581</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low hematocrit</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">38</td>
<td align="center" valign="top">52</td>
<td align="center" valign="top">49</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">48</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">50</td>
<td align="center" valign="top">0.556</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High mean corpuscular volume (MCV)</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">0.2992</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low mean corpuscular volume (MCV)</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">0.0801</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High mean corpuscular hemoglobin volume (MCHC)</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">0.4559</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low mean corpuscular hemoglobin volume (MCHC)</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0.5272</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High red cell distribution width (HRDW)</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">0.7461</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low red cell distribution width (LRDW)</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High reticulocyte number</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">117</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low reticulocyte number</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">117</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0.2531</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High monocytes</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top">48</td>
<td align="center" valign="top">54</td>
<td align="center" valign="top">118</td>
<td align="center" valign="top">69</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">56</td>
<td align="center" valign="top">61</td>
<td align="center" valign="top">0.3686</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low monocytes</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">118</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High neutrophil granulocytes</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">117</td>
<td align="center" valign="top">49</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">40</td>
<td align="center" valign="top">44</td>
<td align="center" valign="top">0.0893</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low neutrophil granulocytes</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">117</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0.7124</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High eosinophil granulocytes</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">116</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low eosinophil granulocytes</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">40</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">43</td>
<td align="center" valign="top">116</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">50</td>
<td align="center" valign="top">48</td>
<td align="center" valign="top">52</td>
<td align="center" valign="top">0.2294</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High basophil granulocytes</td>
<td align="center" valign="top">70</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">115</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0.3683</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low basophil granulocytes</td>
<td align="center" valign="top">70</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">115</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High platelet count</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0.3684</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low platelet count</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">24</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">0.2886</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High mean platelet volume (MPV)</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low mean platelet volume (MPV)</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0.5272</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top" colspan="13">Proteins</td>
</tr>
<tr>
<td align="left" valign="top">High albumin</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low albumin</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">0.7697</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High globulin</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">38</td>
<td align="center" valign="top">34</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">40</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">52</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">0.109</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low globulin</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High alb./glob. Ratio</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">0.6616</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low alb./glob. Ratio</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">36</td>
<td align="center" valign="top">97</td>
<td align="center" valign="top">97</td>
<td align="center" valign="top">98</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">&#x003C;0.0001</td>
<td align="left" valign="top">Yes</td>
</tr>
<tr>
<td align="left" valign="top">High total protein</td>
<td align="center" valign="top">36</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">33</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">34</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low total protein</td>
<td align="center" valign="top">36</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top" colspan="13">Kidney</td>
</tr>
<tr>
<td align="left" valign="top">High BUN</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">74</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">0.0682</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low BUN</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">41</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">74</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">34</td>
<td align="center" valign="top">0.3969</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High creatinine</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">74</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">0.265</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low creatinine</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">24</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">74</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">0.8211</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top" colspan="13">Liver</td>
</tr>
<tr>
<td align="left" valign="top">High ALT</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">74</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">0.594</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low ALT</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">74</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.3333</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High ALP</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low ALP</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">36</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">0.826</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High bilirubin</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">33</td>
<td align="center" valign="top">34</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">41</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">0.3819</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low bilirubin</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">34</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Overall, the hematological and serum biochemical profiles of FCoV-seropositive cats closely resembled those of the FCoV-RNA positive cats described above. Specifically, the percentages of seropositive cats with elevated white blood cells, monocyte, and neutrophil counts were 31, 56, and 37%, respectively, while 28, 48, and 44% had decreased RBC, hematocrit, and hemoglobin levels, respectively. Additionally, 23% exhibited thrombocytopenia. Notable biochemical abnormalities among seropositive cats included a low albumin/globulin ratio (40%), elevated bilirubin levels (35%), increased ALT and ALP activity (16 and 7%, respectively), as well as low and high BUN levels (35 and 17%) and low and high creatinine levels (28 and 8%) (<xref ref-type="table" rid="tab11">Table 11</xref>). In comparison, significantly fewer FCoV-seronegative cats exhibited low albumin/globulin ratios and low BUN levels, while a higher proportion had elevated WBC counts (with none showing low WBC) (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) (<xref ref-type="table" rid="tab11">Table 11</xref>). Results of clinical hematology and biochemistry among seropositive cats are shown in <xref ref-type="table" rid="tab11">Table 11</xref>. FCoV seroprevalence was significantly associated with high reticulocyte counts and high platelet counts (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
<table-wrap position="float" id="tab11">
<label>Table 11</label>
<caption>
<p>The estimated prevalence of abnormal levels of haematological and biochemical clinicopathological parameters according to cat&#x2019;s FCoV antibody status.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="3">Variables</th>
<th align="center" valign="top" colspan="5">FCoV seropositive</th>
<th align="center" valign="top" colspan="5">FCoV seronegative</th>
<th align="center" valign="top" rowspan="3"><italic>p</italic> value</th>
<th align="left" valign="top" rowspan="3">Statistically significant (<italic>p</italic> &#x003C;&#x202F;0.05)</th>
</tr>
<tr>
<th align="center" valign="top" rowspan="2">
<italic>N</italic>
</th>
<th align="center" valign="top" rowspan="2">No. affected</th>
<th align="center" valign="top" rowspan="2">%95CI</th>
<th align="center" valign="top" colspan="2">95%CI</th>
<th align="center" valign="top" rowspan="2">
<italic>N</italic>
</th>
<th align="center" valign="top" rowspan="2">No. affected</th>
<th align="center" valign="top" rowspan="2">%95CI</th>
<th align="center" valign="top" colspan="2">95%CI</th>
</tr>
<tr>
<th align="center" valign="top">Lower</th>
<th align="center" valign="top">Upper</th>
<th align="center" valign="top">Lower</th>
<th align="center" valign="top">Upper</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="13">Hematology</td>
</tr>
<tr>
<td align="left" valign="top">High WBC</td>
<td align="center" valign="top">178</td>
<td align="center" valign="top">56</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">33</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">46</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">53</td>
<td align="center" valign="top">0.3575</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low WBC</td>
<td align="center" valign="top">178</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High lymphocytic count</td>
<td align="center" valign="top">177</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">0.6316</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low lymphocytic count</td>
<td align="center" valign="top">177</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">0.439</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High red blood cell count</td>
<td align="center" valign="top">180</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low red blood cell count</td>
<td align="center" valign="top">180</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">0.5205</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High hemoglobin</td>
<td align="center" valign="top">180</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.1395</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low hemoglobin</td>
<td align="center" valign="top">180</td>
<td align="center" valign="top">79</td>
<td align="center" valign="top">44</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">46</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">54</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">61</td>
<td align="center" valign="top">0.5689</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High hematocrit</td>
<td align="center" valign="top">180</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low hematocrit</td>
<td align="center" valign="top">180</td>
<td align="center" valign="top">86</td>
<td align="center" valign="top">48</td>
<td align="center" valign="top">46</td>
<td align="center" valign="top">50</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">69</td>
<td align="center" valign="top">63</td>
<td align="center" valign="top">75</td>
<td align="center" valign="top">0.1594</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High mean corpuscular volume (MCV)</td>
<td align="center" valign="top">180</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low mean corpuscular volume (MCV)</td>
<td align="center" valign="top">180</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">0.469</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High mean corpuscular hemoglobin volume (MCHC)</td>
<td align="center" valign="top">180</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">0.1226</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low mean corpuscular hemoglobin volume (MCHC)</td>
<td align="center" valign="top">180</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High red cell distribution width (HRDW)</td>
<td align="center" valign="top">179</td>
<td align="center" valign="top">52</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">46</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">53</td>
<td align="center" valign="top">0.2175</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low red cell distribution width (LRDW)</td>
<td align="center" valign="top">179</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High reticulocyte number</td>
<td align="center" valign="top">177</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">0.0167</td>
<td align="left" valign="top">Yes</td>
</tr>
<tr>
<td align="left" valign="top">Low reticulocyte number</td>
<td align="center" valign="top">177</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High monocytes</td>
<td align="center" valign="top">177</td>
<td align="center" valign="top">100</td>
<td align="center" valign="top">56</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">46</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">53</td>
<td align="center" valign="top">0.567</td>
<td align="left" valign="top">Yes</td>
</tr>
<tr>
<td align="left" valign="top">Low monocytes</td>
<td align="center" valign="top">177</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High neutrophil granulocytes</td>
<td align="center" valign="top">176</td>
<td align="center" valign="top">65</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">46</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">53</td>
<td align="center" valign="top">0.5595</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low neutrophil granulocytes</td>
<td align="center" valign="top">176</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High eosinophil granulocytes</td>
<td align="center" valign="top">175</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low eosinophil granulocytes</td>
<td align="center" valign="top">175</td>
<td align="center" valign="top">79</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">43</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">62</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">68</td>
<td align="center" valign="top">0.2673</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High basophil granulocytes</td>
<td align="center" valign="top">172</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low basophil granulocytes</td>
<td align="center" valign="top">172</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High platelet count</td>
<td align="center" valign="top">180</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">0.0374</td>
<td align="left" valign="top">Yes</td>
</tr>
<tr>
<td align="left" valign="top">Low platelet count</td>
<td align="center" valign="top">180</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">22</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">0.736</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High mean platelet volume (MPV)</td>
<td align="center" valign="top">180</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.604</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low mean platelet volume (MPV)</td>
<td align="center" valign="top">180</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top" colspan="13">Proteins</td>
</tr>
<tr>
<td align="left" valign="top">High albumin</td>
<td align="center" valign="top">103</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low albumin</td>
<td align="center" valign="top">103</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High globulin</td>
<td align="center" valign="top">103</td>
<td align="center" valign="top">52</td>
<td align="center" valign="top">50</td>
<td align="center" valign="top">48</td>
<td align="center" valign="top">53</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">36</td>
<td align="center" valign="top">0.4382</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low globulin</td>
<td align="center" valign="top">103</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High alb./glob. Ratio</td>
<td align="center" valign="top">103</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low alb./glob. Ratio</td>
<td align="center" valign="top">103</td>
<td align="center" valign="top">41</td>
<td align="center" valign="top">40</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">43</td>
<td align="center" valign="top">34</td>
<td align="center" valign="top">52</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High total protein</td>
<td align="center" valign="top">102</td>
<td align="center" valign="top">33</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">36</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low total protein</td>
<td align="center" valign="top">102</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">0.2871</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top" colspan="13">Kidney</td>
</tr>
<tr>
<td align="left" valign="top">High BUN</td>
<td align="center" valign="top">104</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">36</td>
<td align="center" valign="top">0.6075</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low BUN</td>
<td align="center" valign="top">104</td>
<td align="center" valign="top">36</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">36</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High creatinine</td>
<td align="center" valign="top">104</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low creatinine</td>
<td align="center" valign="top">104</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">0.6718</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top" colspan="13">Liver</td>
</tr>
<tr>
<td align="left" valign="top">High ALT</td>
<td align="center" valign="top">104</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low ALT</td>
<td align="center" valign="top">104</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">0.0631</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High ALP</td>
<td align="center" valign="top">103</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low ALP</td>
<td align="center" valign="top">103</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">43</td>
<td align="center" valign="top">34</td>
<td align="center" valign="top">52</td>
<td align="center" valign="top">0.4263</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">High bilirubin</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">38</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">100</td>
<td align="center" valign="top">100</td>
<td align="center" valign="top">100</td>
<td align="center" valign="top">0.3654</td>
<td align="left" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top">Low bilirubin</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x003E;0.9999</td>
<td align="left" valign="top">No</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec20">
<title>Necropsy findings</title>
<p>Necropsy revealed fibrinous, yellowish effusion in the body cavities of 19 out of the 43 deceased cats (44.1%). Abdominal effusion was present in 16 cats (37.2%), while thoracic effusion was observed in 9 cats (20.9%), with 6 cats (13.9%) exhibiting both. Abdominal and thoracic effusions (13.9%). Fibrin deposition was particularly prominent in the liver and peritoneum of 16 cats, often accompanied by severe adhesions between abdominal organs. Multifocal granulomatous lesions were detected in 17 cats, primarily the liver and kidneys, followed by the lungs (37.2%) (<xref ref-type="fig" rid="fig1">Figures 1A</xref>,<xref ref-type="fig" rid="fig1">B</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Gross lesions from necropsied cats positive for FCoV RNA by qRT-PCR and histologic lesions consistent with FIP. <bold>(A,B)</bold> Multifocal granulomas (arrows) are evident on the capsular surface of the kidney, extending into the renal parenchyma and on the surface of the liver. <bold>(C)</bold> Yellowish, viscous fluid is visible in the abdominal cavity (arrows). The serosal surface of the abdominal wall consists of small yellow&#x2014;tan nodules and fibrin deposition consistent with pyogranulomatous inflammation (stars).</p>
</caption>
<graphic xlink:href="fvets-12-1645884-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Three labeled photographs illustrating gross lesions in cats with feline infectious peritonitis (FIP). (A, B) Multifocal granulomas (arrows) are visible on the kidney capsule and liver surface, extending into the underlying parenchyma. (C) Yellowish, viscous abdominal fluid (arrows) is present in the peritoneal cavity. The serosal surface of the abdominal wall shows small yellow-tan nodules and fibrin deposits (stars), consistent with pyogranulomatous inflammation.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec21">
<title>Histopathologic findings</title>
<p>Lesions characteristic of FIP, including fibrinous serositis, granulomatous/pyogranulomatous inflammation and vasculitis/ perivasculitis in various organs such as the liver, brain, intestines, lungs, kidneys, heart, spleen and pancreas were evaluated in histopathologic examination of all 43 cats (<xref rid="SM1" ref-type="supplementary-material">Supplementary Figure 1</xref>). Fibrinous serositis was most commonly observed in the liver (<italic>n</italic>&#x202F;=&#x202F;13), lungs (<italic>n</italic>&#x202F;=&#x202F;11) and intestines (<italic>n</italic>&#x202F;=&#x202F;5) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Figures 1A,B</xref>). Granulomatous/ pyogranulomatous inflammation was most prominent in the liver (<italic>n</italic>&#x202F;=&#x202F;16), followed by the kidneys (<italic>n</italic>&#x202F;=&#x202F;6) and intestines (<italic>n</italic>&#x202F;=&#x202F;6) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Figure 1C</xref>). Vasculitis/ perivasculitis was identified most frequently in the liver (<italic>n</italic>&#x202F;=&#x202F;21), in the lungs (<italic>n</italic>&#x202F;=&#x202F;9), brain (<italic>n</italic>&#x202F;=&#x202F;6) and kidneys (<italic>n</italic>&#x202F;=&#x202F;4) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Figure 1D</xref>). Other consistent brain lesions included cerebral meningitis (<italic>n</italic>&#x202F;=&#x202F;13) and lymphoplasmacytic meningoencephalitis (<italic>n</italic>&#x202F;=&#x202F;2). Based on histopathologic findings, the liver appeared to be the most affected organ. Other significant microscopic findings included moderate to severe lymphoid depletion in the spleen, lymphoplasmacytic nephritis, interstitial pneumonia, and pancreatitis. Correlation of histopathological findings and PCR results has been shown in <xref ref-type="supplementary-material" rid="SM5">Supplementary Table 1</xref>.</p>
</sec>
<sec id="sec22">
<title>Phylogenetic analysis</title>
<p>From the 79 samples found to be positive by real time RT-qPCR, the expected 642&#x202F;bp partial S1 gene amplicon was seen after conventional PCR and gel electrophoresis and successfully sequenced from 68 samples. Phylogenetic analysis revealed that all 68 FCoV strains belonged to type I FCoV (FCoV-I). A phylogenetic tree, based on the partial S1 gene sequence was generated (<xref ref-type="fig" rid="fig2">Figure 2</xref>). Comparative analysis showed a nucleotide identity of 80%&#x2013;98% among all partial S gene sequences in this study (<xref ref-type="supplementary-material" rid="SM4">Supplementary Table 2</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Phylogenetic analysis based on the FCoV S gene nucleotide sequences. The obtained 68 FCoV strains in this study are marked with different colors (red or blue or green). Red colored names indicate FCoV detected from cat rectal swabs while blue colored names indicate FCoV detected from brain, liver or intestine of infected cats in this study. Similarly, green colored names indicates FCoV detected from ascites fluid or effusions and dark brown color indicate FCoV detected from blood samples of infected cats. The phylogenetic tree was inferred using the maximum likelihood (ML) method and each ML tree was tested 1,000 times with a Bootstrap test to estimate the branch support.</p>
</caption>
<graphic xlink:href="fvets-12-1645884-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Circular phylogenetic tree depicting relationships among various feline coronavirus strains. The names are color-coded in red, blue, green, and black, indicating different groupings or categories. The tree is rooted at the center and branches out, showing evolutionary distances with a scale bar at the bottom representing 0.09.</alt-text>
</graphic>
</fig>
<p>For evolutionary analysis, a total of 92 complete S gene reference sequences from FCoV strains were downloaded from the GenBank database (<xref ref-type="supplementary-material" rid="SM4">Supplementary Table 2</xref>). In addition, FCoV related coronaviruses like canine coronavirus (CCoV), porcine respiratory coronavirus (PCoV) and transmissible gastroenteritis virus (TGEV) reference S gene sequences were also retrieved (data not shown) to ensure a diverse representation of coronaviruses for comparative analysis. Partial S gene nucleotide analysis showed deletion of some nucleotides in all sequences obtained in the present study. The deletions were observed between positions 22959&#x2013;22961, 22968&#x2013;22973, 22983&#x2013;22991, 23045&#x2013;23049 and 23055&#x2013;23057 compared to the reference strain NC_002306.3. Interestingly, these deletions were absent in all reference strains belonging to FCoV type 2 (FIP). Out of 68 FCoV strains detected in this study, 42 formed a separate cluster along with reference strain AY307020. This cluster was further divided into several small sub-clusters (<xref ref-type="fig" rid="fig2">Figure 2</xref>) FCoV strains detected from ascitic fluid or effusions were closely related to FCoV strains detected from rectal swabs, intestine, brain and liver tissues.</p>
</sec>
<sec id="sec23">
<title>Recombination analysis</title>
<p>Using RDP5 analysis of the partial spike gene sequence compared to other members of the genus alpha-coronaviruses-1 showed multiple recombination signals and events. A total of 17 unique recombinant events and 36 recombination signals were observed by using different recombination methods (RDP, GENECOV, MaxChi, Chimaera, Bootscan, SiScan, 3Seq) in RDP5 (<xref ref-type="supplementary-material" rid="SM2">Supplementary Figure 2A</xref>). These recombination signals might have been caused by an evolutionary process other than recombination. Recombination events shown by three or more recombination methods were used for analysis. The RDP5 analysis revealed that the recombinant isolate of FCoV (PQ561610 FCoV-128) was detected by six detection methods (<xref ref-type="supplementary-material" rid="SM2">Supplementary Figure 2B</xref>). Based on the multiple sequence alignment of 75 partial S gene sequences, analysis using the RDP5 software showed the beginning breakpoint of the recombination event for PQ561610 FCoV-128 was at position 225 (confidence 99% CI) in this alignment (182 without gaps). The ending breakpoint of the recombination event was found at position 14 in the alignment (5 without gaps). The major parent in this recombination event (PQ561619 FCoV-142) was 81.8% similar to the recombinant (PQ561610 FCoV-128) (<xref ref-type="supplementary-material" rid="SM3">Supplementary Figures 3A,B</xref>). Similarly, the recombinant PQ561624 FCoV-162 showed 94.5% identity to the major parent with the beginning breakpoint of the recombination event at nucleotide 652 in this alignment (585 without gaps) and ending breakpoint of the recombination event was found at position 87 in alignment (77 without gaps) (<xref ref-type="supplementary-material" rid="SM2">Supplementary Figures 2C,D</xref>). Interestingly, a FCoV type 1 field isolate from Netherlands (JN183882.1) was found to be the possible major parent for PQ561615 FCoV-133 isolate from Istanbul, T&#x00FC;rkiye with the beginning breakpoint of the recombination event at nucleotide 614 in this alignment (551 without gaps) and ending breakpoint of the recombination event was found at position 300 in the alignment (257 without gaps). The major parent in this recombination event (JN183882.1) was 89.4% identical to the recombinant (PQ561615 FCoV-133) These results strongly confirm the presence of recombination events among some of the FCoV strains detected in this study. In contrast, we did not find any recombination event or signals with canine coronavirus (GQ477367.1) or porcine coronavirus (DQ811787.1; DQ811789.2).</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec24">
<title>Discussion</title>
<p>FCoV infections have been reported worldwide. The increase in cat population and crowding are important risk factors since FCoV is less frequently seen in housed, stray and feral cats compared to shelter cats (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref21">21</xref>, <xref ref-type="bibr" rid="ref36">36</xref>). The immune status, viral load, undergoing surgery, being subjected to environmental stress like crowding and bad living conditions increase the risk of developing FIP (<xref ref-type="bibr" rid="ref38">38</xref>). Detection of FCoV antibodies and/or FCoV-RNA in the early stage of infection can be a useful indicator to help minimize the spread of FCoVs in a breeding cattery, multi-cat household and FCoV-free household (<xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref55">55</xref>). Therefore, it is important to monitor cats living in multi-cat environments in order to reduce and control FCoV infections.</p>
<p>FCoV prevalence may vary depending on the region/country, inclusion criteria (healthy or ill), selection bias, analytical errors and low specificity of the diagnostic tests. The results of this study indicate that FCoV infections are widespread in cats from Istanbul and this agrees with the results of other studies (<xref ref-type="bibr" rid="ref27">27</xref>, <xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref56">56</xref>, <xref ref-type="bibr" rid="ref57">57</xref>). In the present study, overall seropositivity for FCoV was found to be 90.9%, and was similar over two years (2018 and 2019). However, FCoV seroprevalence was found to be higher in this study compared to a previous study performed in Istanbul (<xref ref-type="bibr" rid="ref36">36</xref>). This might be associated with an increase in the cat population in recent years and this finding suggests that it will be difficult to find FCoV-seronegative cats in the future. High FCoV seroprevalence (up to 84%) has also been reported in other countries (<xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref44">44</xref>, <xref ref-type="bibr" rid="ref56">56</xref>, <xref ref-type="bibr" rid="ref58">58</xref>). A much lower seroprevalence in chronically ill (19.3%) and healthy cats (10.1%) was reported in Korea (<xref ref-type="bibr" rid="ref59">59</xref>). The high seroprevalence found in many countries might be attributed to the presence of maternal antibodies but the percentage FCoV seropositivity was also found to be high particularly in this study. Because of the presence of maternal antibodies in younger ages, detection of FCoV RNA by PCR is a better indication of FCoV infection. However, PCR analysis cannot discriminate between FCoV and FIPV at present, although there are some trials aimed at developing specific tests to differentiate them by nucleotide polymorphisms. However, compared to seropositivity, detection of FCoV-RNA in pleural effusion and ascites has a better diagnostic value (<xref ref-type="bibr" rid="ref42">42</xref>, <xref ref-type="bibr" rid="ref60">60</xref>).</p>
<p>In the present study, the overall detection rate of FCoV-RNA in faecal swabs was 37.9% (79/208). Intestinal colonization by FCoV has been investigated by RT-PCR and found to be 37% in Japan (<xref ref-type="bibr" rid="ref31">31</xref>), 47.5% in Portugal (<xref ref-type="bibr" rid="ref61">61</xref>), 76.5% in Germany (<xref ref-type="bibr" rid="ref62">62</xref>) and 84% in Malaysia (<xref ref-type="bibr" rid="ref30">30</xref>). A high prevalence (84.4%) of FCoV infection in faeces in cat populations in some areas of China has also been reported. They found no significant difference in FCoV-RNA positivity between body cavity effusion from sick cats and faeces from healthy cats (<xref ref-type="bibr" rid="ref62">62</xref>). In the Fujian Province of China, the overall prevalence of FCoV-RNA positivity in the faeces of cats was 67.9% (<xref ref-type="bibr" rid="ref63">63</xref>). However, fecal detection is not correlated with ongoing FIP infection (<xref ref-type="bibr" rid="ref49">49</xref>). Ascitic fluid from 854 cats with suspected FIP was analysed by RT-PCR in Japan and FCoV-RNA was detected in 377 samples (<xref ref-type="bibr" rid="ref64">64</xref>). In another study performed in T&#x00FC;rkiye, 14 (54%) of healthy and sick cats were positive for FCoV-RNA in blood (<xref ref-type="bibr" rid="ref24">24</xref>).</p>
<p>Results of a retrospective study from 24 American veterinary teaching hospitals showed that FIP prevalence was 0.4% (1,420 cats from 397,182) over a 10-year period (<xref ref-type="bibr" rid="ref65">65</xref>). The percentage of FCoV-infected cats that subsequently developed FIP was found to be between 8 and 10% in two studies (<xref ref-type="bibr" rid="ref66">66</xref>, <xref ref-type="bibr" rid="ref67">67</xref>). In the present study, the number of FIP cats was most likely about 22 that are PCR positive, and effusions were found as well as histopathological lesions suggestive of FIP. However, limitation of this study is that immunohistochemistry was not performed on these cats died of FIP suspicion.</p>
<p>Several risk factors have been found to be associated with FCoV infection and development of FIP, which include stress, surgery, age, breed, gender, multi-cat environment, different housing conditions and the frequency of litter box disinfection (<xref ref-type="bibr" rid="ref28 ref29 ref30">28&#x2013;30</xref>, <xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref57">57</xref>, <xref ref-type="bibr" rid="ref68">68</xref>, <xref ref-type="bibr" rid="ref69">69</xref>). While our study identified several significant associations, we caution that some marginal results (e.g., hematological variables) could reflect Type I error. Future replication in larger cohorts with pre-specified hypotheses is warranted.</p>
<p>FCoV infections are usually seen in cats less than 2&#x202F;years old and especially during the first year of life (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref28">28</xref>, <xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref49">49</xref>). However, older cats may also be affected (<xref ref-type="bibr" rid="ref70">70</xref>, <xref ref-type="bibr" rid="ref71">71</xref>). In a previous study performed in Istanbul, FCoV serological status was significantly associated with age, FIP serological status and habitat variables. In contrast, age exhibited a bimodal distribution in our study, with cats aged 23&#x2013;59&#x202F;weeks showing a lower risk of PCR positivity compared to both younger and older cats. There was no association with age and FCoV-RNA positivity in Malaysian, Australian and Chines studies (<xref ref-type="bibr" rid="ref28">28</xref>, <xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref63">63</xref>, <xref ref-type="bibr" rid="ref69">69</xref>). This could be due to increased cat-to-cat contact in young cats before their immune system reaches maturity, facilitating efficient virus replication and favoring mutation from FECV to FIPV and lack of natural and protective immunity at young ages (<xref ref-type="bibr" rid="ref49">49</xref>, <xref ref-type="bibr" rid="ref63">63</xref>). Young cats may also experience stress due to various factors, including weaning, vaccination, dietary changes, neutering, separation from the queen, and living in a multi-cat environment (<xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref55">55</xref>, <xref ref-type="bibr" rid="ref72">72</xref>). Stress provokes the release of glucocorticoids, which may cause suppression of cell-mediated immunity and facilitate FCoV replication (<xref ref-type="bibr" rid="ref49">49</xref>, <xref ref-type="bibr" rid="ref72">72</xref>).</p>
<p>No difference in FCoV seroprevalence was found between females and males in previous studies (<xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref28">28</xref>, <xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref58">58</xref>, <xref ref-type="bibr" rid="ref63">63</xref>, <xref ref-type="bibr" rid="ref73">73</xref>). Similar results were found in a previous study in Istanbul (<xref ref-type="bibr" rid="ref36">36</xref>). In contrast, in Australia and the USA, FCoV prevalence was higher in male cats compare to females (<xref ref-type="bibr" rid="ref49">49</xref>, <xref ref-type="bibr" rid="ref57">57</xref>, <xref ref-type="bibr" rid="ref68">68</xref>). Similarly, FIP occurred significantly more often in male cats as reported by others (<xref ref-type="bibr" rid="ref35">35</xref>, <xref ref-type="bibr" rid="ref68">68</xref>, <xref ref-type="bibr" rid="ref74">74</xref>). which may be due to regional differences. In Japan, PCR positivity in ascitic fluids was significantly higher in males (51.5%) than in females (35.7%). However, gender was not significantly associated with presence of antibody which indicate the development of FIP in male cats is higher than females (<xref ref-type="bibr" rid="ref64">64</xref>). In the present study, no significant association was found between gender and FCoV-RNA positivity or seropositivity. At present, there is no biological evidence supporting gender-associated susceptibility and resistance to FCoV. The difference shown in previous studies could be related to males and females having different lifestyles, facilitating FCoV exposure and living in different regions. Alternatively, sex-based differences may be related to androgens, which may negatively affect the immune system, increasing the risk of virus replication (<xref ref-type="bibr" rid="ref75">75</xref>). However, results of another study indicated that male and female cats had similar risks of developing FIP (<xref ref-type="bibr" rid="ref47">47</xref>).</p>
<p>Breed was not associated with FCoV seropositivity in either this study or a previous study conducted in Istanbul (<xref ref-type="bibr" rid="ref36">36</xref>). Multiple international studies have reported higher FCoV seroprevalence in pedigree cats compared to non-pedigree cats (<xref ref-type="bibr" rid="ref28">28</xref>, <xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref49">49</xref>, <xref ref-type="bibr" rid="ref57">57</xref>, <xref ref-type="bibr" rid="ref58">58</xref>). In a Japanese study of 17,392 cats, FCoV antibody prevalence was significantly higher in pedigree cats (67%) than in non-pedigrees (31%) (<xref ref-type="bibr" rid="ref31">31</xref>). In another study, Norwegian forest cats and Birmans had a lower risk of FCoV infection (<xref ref-type="bibr" rid="ref69">69</xref>). Similarly, FIP disproportionately affects pedigree cats (<xref ref-type="bibr" rid="ref57">57</xref>, <xref ref-type="bibr" rid="ref74">74</xref>, <xref ref-type="bibr" rid="ref76">76</xref>). In contrast, no specific breed has been identified as a risk factor for FCoV infection in cats in Germany (<xref ref-type="bibr" rid="ref12">12</xref>), Fujian Province China (<xref ref-type="bibr" rid="ref63">63</xref>), and in T&#x00FC;rkiye (<xref ref-type="bibr" rid="ref36">36</xref>). In the present study, 55 of 162 cross breed and 24 of 46 purebred cats were found to be positive for FCoV-RNA and this was statistically significant in cross breed cats. This finding contrasts with the results reported from others since the PCR positivity in ascitic fluids was significantly higher in purebreds (62.2%) than in crossbreds (34.8%) in Japan (<xref ref-type="bibr" rid="ref64">64</xref>). The reason for this can be because of the higher number of cross breed cats than pure-breed cats analyzed in this study.</p>
<p>The effect of a multi-cat environment and housing density on the prevalence of FCoV has been investigated in many studies. Significantly increased risks have been found for cats living in a multi-cat environment, which could lead to virus mutation and development of FIP. Household cats living alone had the lowest risk of being FCoV seropositive (<xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref55">55</xref>, <xref ref-type="bibr" rid="ref69">69</xref>). The number of cats in a house hold or cattery was significantly associated with the occurrence of FIP in one study (<xref ref-type="bibr" rid="ref77">77</xref>) but not in another (<xref ref-type="bibr" rid="ref14">14</xref>). In another study, the majority of cats (75.7%) analysed shed FCoV at least once (<xref ref-type="bibr" rid="ref69">69</xref>). Results of a previous study performed in Istanbul indicated that household cats that cohabitated with other cats had a high risk of being FCoV seropositive (<xref ref-type="bibr" rid="ref36">36</xref>), as has been previously shown (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref26">26</xref>, <xref ref-type="bibr" rid="ref27">27</xref>, <xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref57">57</xref>). In contrast to previous findings, most FCoV-RNA positive cats in our study were household cats. Among these, FCoV-RNA positivity showed significant associations with being home-raised, cohabitation with other cats, and outdoor access. This pattern suggests that environmental factors&#x2014;particularly outdoor exposure and multi-cat households&#x2014;may facilitate viral transmission and potentially contribute to FCoV mutation and FIP development. These observations align with established literature documenting higher FCoV prevalence in multi-cat environments (<xref ref-type="bibr" rid="ref62">62</xref>, <xref ref-type="bibr" rid="ref69">69</xref>, <xref ref-type="bibr" rid="ref78">78</xref>). A previous Istanbul study reported significantly lower FCoV seroprevalence in stray cats (30%) compared to household cats (57%) (<xref ref-type="bibr" rid="ref36">36</xref>). While prior research suggests household cats with outdoor access and multi-cat cohabitation are disproportionately susceptible to FCoV infection, our study revealed comparable seroprevalence rates (&#x223C;90%) across groups, with no statistically significant differences observed.</p>
<p>FCoV infection typically causes mild to moderate clinical signs, primarily diarrhea and lethargy. In cases progressing to FIP, the disease manifests as either effusive (&#x2018;wet&#x2019;) or non-effusive (&#x2018;dry&#x2019;) forms, with clinical signs reflecting disease severity. The most common FIP symptoms include persistent fever (often fluctuating), anorexia, and profound lethargy. Ocular manifestations of non-effusive FIP may include uveitis and retinitis. Neurological involvement can present with seizures, nystagmus, progressive ataxia, and paresis (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref21">21</xref>). Our study found significantly higher prevalence rates of fever, lethargy, diarrhea, ascites, and pleural effusion in FCoV-PCR positive cats compared to PCR-negative controls (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). Notably, pleural effusion showed particularly strong association in seropositive cases. These findings align with previous research that additionally identified weight loss and vomiting as clinical markers significantly associated with FCoV seropositivity (<xref ref-type="bibr" rid="ref36">36</xref>). Consistent with previous reports (<xref ref-type="bibr" rid="ref73">73</xref>), weight loss and pleural effusion were identified as predominant clinical signs in FIP cases, often accompanied by ascites, lethargy, and anorexia. Recent findings further characterize the FIP presentation profile, reporting abdominal distension (68%), depression (60%), dehydration (58%), anorexia (53%), and dyspnea (42%) as common manifestations (<xref ref-type="bibr" rid="ref35">35</xref>).</p>
<p>Although the following hematological and biochemical blood parameters are not specific for FIP, thrombocytopenia, normochromic anemia, lymphopenia particularly in cats with effusions, neutrophilia and microcytosis were frequently reported (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref70">70</xref>, <xref ref-type="bibr" rid="ref79 ref80 ref81">79&#x2013;81</xref>). No association was found with anemia and occurrence of effusions in one study (<xref ref-type="bibr" rid="ref82">82</xref>). However, a difference between FIP and microcytosis has been previously reported (<xref ref-type="bibr" rid="ref70">70</xref>). A decrease in red blood cell count has been reported but attributed to poor prognosis of FIP (<xref ref-type="bibr" rid="ref80">80</xref>, <xref ref-type="bibr" rid="ref83">83</xref>). In a recent study, lymphopenia developed in 75% of cats with FIP, while 45.5% showed neutrophilia, and 13.6% had monocytosis (<xref ref-type="bibr" rid="ref35">35</xref>).</p>
<p>Characteristic serum biochemical abnormalities in FIP cases include hyperbilirubinemia, hyperproteinemia, hyperglobulinemia, and hypoalbuminemia (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref21">21</xref>). Particular diagnostic significance lies in the identification of hyperglobulinaemia accompanied by hypoalbuminaemia or low-to-normal serum albumin (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref41">41</xref>, <xref ref-type="bibr" rid="ref70">70</xref>, <xref ref-type="bibr" rid="ref73">73</xref>). In addition, low albumin to globulin (A:G) ratio can have a better diagnostic value than either total serum protein or globulin (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref36">36</xref>). In the present study, as also reported previously, a decrease in serum A/G ratio was detected in most of the cats suspected of having FIP (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref42">42</xref>, <xref ref-type="bibr" rid="ref73">73</xref>). In a recent study, blood profiles revealed mild anemia, lymphopenia, thrombocytopenia, hypoalbuminemia, hyperglobulinemia, and an albumin to globulin ratio of 0.4 in FIP cases (<xref ref-type="bibr" rid="ref35">35</xref>).</p>
<p>In the present study, the deletion of specific nucleotides was observed in S gene sequences of FCoV type 1. Spike protein is crucial for the virus&#x2019;s ability to enter host cells. It plays a significant role in the virus&#x2019;s infectivity and is a primary target for neutralizing antibodies. The implications of S gene variations in FCoV for virulence, transmission, and strain evolution are complex and can significantly impact disease dynamics. S gene deletions (e.g., in the 3&#x2032; end) are associated with the transition from feline enteric coronavirus (FECV, low virulence) to feline infectious peritonitis virus (FIPV, high virulence). Loss of certain regions (e.g., furin cleavage sites) may alter cell tropism, allowing systemic spread and macrophage infection, a hallmark of FIP. In addition, S gene deletions may increase or decrease enteric replication, environmental persistence and cat-to-cat transmission. Furthermore, clustering of S gene variants may reflect immune selection pressure, leading to escape mutants that evade neutralizing antibodies (virus evolution).</p>
<p>This complexity arises from the nature of RNA viruses like FCoV, where genetic variation frequently occurs (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref73">73</xref>, <xref ref-type="bibr" rid="ref84 ref85 ref86 ref87 ref88 ref89">84&#x2013;89</xref>). In this study, the nucleotide sequence of the S gene of FCoV showed 81.2 to 99.6% nucleotide identity between them. This identity range suggests a high degree of genetic variation between different FCoV strains. The lower end of this range indicates more divergent strains, while the higher end suggests closely related strains. The finding that all 68 FCoV strains sequenced belonged to FCoV-I indicates that these strains share a common evolutionary lineage, which can provide insights into transmission dynamics, virulence, and potential vaccine development. Similar findings were reported from China by Shi et al. (<xref ref-type="bibr" rid="ref89">89</xref>).</p>
<p>Several unique recombinant events and recombination signals were observed for some FCoV strains in this study by using seven recombination testing methods. Recombination events are indeed a significant aspect of the evolution of coronaviruses, including those affecting both humans and animals. The spike protein gene, in particular, is a critical region for recombination, as it is responsible for viral entry into host cells and plays a key role in determining the virus&#x2019;s virulence and host range (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref87">87</xref>, <xref ref-type="bibr" rid="ref90 ref91 ref92">90&#x2013;92</xref>). FCoV is known for its ability to undergo recombination, which can significantly impact its assembly, invasion, and pathogenicity. Recombination events between different strains of FCoV can lead to increased genetic diversity. This diversity allows the virus to adapt to changing host environments and immune responses, potentially resulting in more virulent strains. For instance, the transition from the less pathogenic FCoV type I to the more pathogenic type II is believed to involve recombination with a canine coronavirus, which may enhance its ability to infect feline hosts. Recombination plays a crucial role in the pathogenesis of FIP, a severe and often fatal disease caused by a mutant form of FCoV. The recombination events may lead to the generation of a more virulent strain that can evade the host&#x2019;s immune response, resulting in systemic infection and severe inflammatory responses (<xref ref-type="bibr" rid="ref2">2</xref>). The ability of FCoV to recombine and create variants that can infect macrophages is critical for the development of FIP (<xref ref-type="bibr" rid="ref93">93</xref>). The assembly of FCoV involves the formation of viral particles through the interaction of structural proteins. Recombination can affect the genes encoding these proteins, potentially altering the efficiency of viral assembly and the virus&#x2019;s ability to enter host cells. Recombination can lead to the emergence of viral variants that possess mutations in epitopes recognized by the host immune system. This allows the virus to evade neutralizing antibodies generated from previous infections or vaccinations (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref94">94</xref>). Such immune escape is particularly relevant in the context of FCoV, where previous exposure to less pathogenic strains does not confer protection against the more virulent forms. The recombination of FCoV can also result in variants that are more adept at transmission between cats. Enhanced transmissibility can lead to outbreaks of FIP in multi-cat environments such as shelters or breeding facilities. The ability to recombine and generate new strains that maintain or enhance transmissibility is a key factor in the epidemiology of FCoV infections. Recombination events may facilitate the adaptation of FCoV to new host species, potentially leading to zoonotic spillover or the emergence of new variants that can infect other animals. This host range expansion can complicate control measures and increase the virus&#x2019;s impact on feline populations.</p>
<p>All FCoV strains identified in this study phylogenetically clustered with type I variants, with no type II strains detected. This finding aligns with global epidemiological patterns, where type I FCoV demonstrates significantly higher prevalence than type II across most geographic regions (<xref ref-type="bibr" rid="ref59">59</xref>, <xref ref-type="bibr" rid="ref62">62</xref>, <xref ref-type="bibr" rid="ref73">73</xref>, <xref ref-type="bibr" rid="ref95">95</xref>). Our study revealed substantial genetic diversity among type I FCoV strains circulating in Istanbul&#x2019;s feline population. This high degree of variability presents significant challenges for infection control and eradication, as divergent viral variants may harbor distinct virulence determinants.</p>
<p>Analyses for virus detection should focus on tissues and effusions presumably containing FIPV-infected macrophages rather than blood since viremia is not always found in FCoV infected cats (<xref ref-type="bibr" rid="ref81">81</xref>, <xref ref-type="bibr" rid="ref96">96</xref>). When FCoV was detected in feces, it was likely to be detected in other organs and tissues, and vice versa (<xref ref-type="bibr" rid="ref49">49</xref>). Besides, FCoV-RNA can be found in the blood of healthy cats (<xref ref-type="bibr" rid="ref24">24</xref>). An interesting finding reported by others (<xref ref-type="bibr" rid="ref49">49</xref>) indicated the high detection rate and viral burdens of FCoV in urine and kidney samples suggesting urine as a convenient and valuable sample for FIP diagnosis. Similarly, a high detection rate of feline morbillivirus in the kidney has been reported (<xref ref-type="bibr" rid="ref97">97</xref>). However, the association between renal damage and urine positivity needs to be studied in FIP cases.</p>
<p>In this study, qRT-PCR analysis detected FCoV RNA in tissue samples from 33 of 43 postmortem feline cases (76.7%). Among these PCR-positive cats, 22 (66.7%) exhibited gross and/or histopathological lesions consistent with FIP diagnosis. Out of the 22 cats, 12 exhibited the mixed form of the disease (12/22, 54.5%). Although clinical examinations often distinguish between effusive and non-effusive forms of the disease, this finding supports the notion that mixed forms of FIP may be under-reported. This is particularly true when diagnosis is based solely on clinical observations, as postmortem examinations can reveal both granulomatous lesions in organs and effusions in body cavities (<xref ref-type="bibr" rid="ref55">55</xref>, <xref ref-type="bibr" rid="ref93">93</xref>, <xref ref-type="bibr" rid="ref98">98</xref>, <xref ref-type="bibr" rid="ref99">99</xref>). The number of cats with abdominal effusion was higher than those with thoracic effusion, with the characteristic gross findings predominantly localized in the abdominal cavity, as previously described (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref100">100</xref>).</p>
<p>The histopathological hallmarks of FIP observed in this study included fibrinous serositis, focal to disseminated granulomas with or without necrosis and, less commonly, perivasculitis. At least two of these findings were present in 22 of the 33 PCR-positive cats. Fibrinous serositis and granulomas were most frequently detected in the liver, followed by the kidneys and the intestines, aligning with previous studies. Perivasculitis was predominantly observed in the liver, followed by lungs, brain and kidneys as described previously (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref98">98</xref>, <xref ref-type="bibr" rid="ref101">101</xref>, <xref ref-type="bibr" rid="ref102">102</xref>). Of the 33 cats which were positive for FCoV RNA, 11 did not show macroscopic or microscopic findings specific to FIP. Several factors may explain this discrepancy. One possibility is the high sensitivity of the PCR technique, which may detect FCoV even in the absence of gross and microscopic lesions. Another explanation is that these cats might have been in the early stages of the disease where characteristic lesions had not yet developed. Alternatively, sampling limitations could account for the absence of lesions, as characteristic histopathological findings might be missing in the examined tissues (<xref ref-type="bibr" rid="ref93">93</xref>, <xref ref-type="bibr" rid="ref98">98</xref>, <xref ref-type="bibr" rid="ref103">103</xref>). On the other hand, while histopathological findings suggestive of FIP were observed in various organs of 8 cats, PCR testing did not yield positive results. Although histopathological examination can identify lesions indicative of FIP, it is insufficient for a definitive diagnosis. Immunohistochemistry (IHC) improves diagnostic accuracy by detecting FCoV antigen within characteristic lesions, particularly in cases where histopathological findings and PCR results are inconsistent (<xref ref-type="bibr" rid="ref38">38</xref>, <xref ref-type="bibr" rid="ref98">98</xref>, <xref ref-type="bibr" rid="ref103">103</xref>). Unfortunately, IHC could not be performed in this study due to project constraints.</p>
<p>In our study, histopathological and PCR findings showed complete diagnostic agreement in 25 cases (22 FIP-positive and 3 FIP-negative). Among the examined tissues (liver, brain, and intestines), the liver demonstrated the highest concordance rate between both diagnostic methods. These results reinforce existing evidence that hepatic tissue provides the most reliable sampling site for FCoV detection when using PCR as a confirmatory diagnostic approach (<xref ref-type="bibr" rid="ref98">98</xref>). However, recent findings suggest the kidney can also be targeted for sampling to aid diagnosis of FIP (<xref ref-type="bibr" rid="ref49">49</xref>).</p>
</sec>
<sec sec-type="conclusions" id="sec25">
<title>Conclusion</title>
<p>&#x201C;Our research provided a comprehensive understanding of FCoV and revealed a higher prevalence of FCoV in cats in Turkey. This study might provide an outline for future research on the development of new vaccines and antiviral therapies. It highlights several critical findings and implications: i: The study identifies a higher prevalence of FCoV in Turkish domestic cats, potentially influenced by factors such as multi-cat environments, population density, or limited preventive measures. This underscores the need for targeted interventions in similar settings; ii: Significant genetic mutations observed could affect viral behavior, such as enhanced transmissibility or pathogenicity, possibly contributing to FIP, a severe outcome of FCoV; iii: Evidence of recombination suggests evolutionary dynamics that may lead to noel variants, complicating disease management. Regular epidemiological surveillance for FCoV infections among domestic and stray cats is needed to gain better insights into viral evolution, risk factors, and transmission dynamics, risk assessments and management strategies.&#x201D;</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec26">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/<xref rid="SM1" ref-type="supplementary-material">Supplementary material</xref>.</p>
</sec>
<sec sec-type="ethics-statement" id="sec27">
<title>Ethics statement</title>
<p>The animal studies were approved by Istanbul University-Cerrahpasa, Veterinary Faculty. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent was obtained from the owners for the participation of their animals in this study.</p>
</sec>
<sec sec-type="author-contributions" id="sec28">
<title>Author contributions</title>
<p>GY: Writing &#x2013; original draft. AK: Writing &#x2013; original draft. OE: Writing &#x2013; original draft. HT: Writing &#x2013; original draft. IO: Writing &#x2013; original draft. SU: Writing &#x2013; review &#x0026; editing. OA: Writing &#x2013; original draft. UC: Writing &#x2013; original draft. OI: Writing &#x2013; original draft. AB: Writing &#x2013; original draft. FT: Writing &#x2013; original draft. BK: Writing &#x2013; original draft. EB: Writing &#x2013; original draft. CH: Writing &#x2013; original draft. AG: Writing &#x2013; original draft. NT: Writing &#x2013; original draft. JR: Writing &#x2013; review &#x0026; editing. HY: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. AY: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec29">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This study was funded by the Istanbul University-Cerrahpasa (BAP Project No: 30038). Partial support was provided by the MCB core of the Center on Emerging and Zoonotic Infectious Diseases (CEZID) of the National Institute of General Medical Sciences (NIGMS) under award number P20GM130448 (JAR) and by the generous support from the Vanier-Krause BRI Endowed Professorship in Animal Infectious Diseases (JAR).</p>
</sec>
<ack>
<p>We would like to thank Istanbul University-Cerrahpasa for funding this study. The support of Kansas State University is gratefully acknowledged.</p>
</ack>
<sec sec-type="COI-statement" id="sec30">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec31">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec32">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec33">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fvets.2025.1645884/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fvets.2025.1645884/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Image_1.PNG" id="SM1" mimetype="image/png" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>SUPPLEMENTARY FIGURE 1</label>
<caption>
<p>Histologic lesions from necropsied cats positive for FCoV RNA by qRT-PCR (Hematoxylin-eosin stain). <bold>(A)</bold> Liver, fibrinous perihepatitis and granulomatous hepatitis. Thick band of fibrin along the serosal surface (star) with few infiltrates of inflammatory cells and granulomas in the parenchyma (arrows). <bold>(B)</bold> Large intestine, fibrinous and granulomatous serositis (star). <bold>(C)</bold> Kidney, granulomatous nephritis. Granulomas with necrosis (stars). Inset: Higher magnification of a granuloma (arrow) composed of macrophages, lymphocytes and plasma cells. <bold>(D)</bold> Brain, perivasculitis, mononuclear perivascular infiltrates (arrows).</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image_2.PNG" id="SM2" mimetype="image/png" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>SUPPLEMENTARY FIGURE 2</label>
<caption>
<p><bold>(A)</bold> Pairwise identity for recombination of PQ561619 FCoV-142. Light grey shading: 99% confidence interval (CI) on breakpoint locations. Dark grey shading: 95% confidence interval (CI) on breakpoint locations. <bold>(B)</bold> The heat map shows the region count matrix of the PQ561619 FCoV-142 along with other members of alpha coronaviruses. <bold>(C)</bold> Pairwise identity for recombination for PQ561624 FCoV-162 Light grey shading: 99% confidence interval (CI) on breakpoint locations. Dark grey shading: 95% confidence interval (CI) on breakpoint locations. Purple shedding: region excluded due to presence of missing data/or recombinationally transferred fragments in PQ561624 FCoV-162 (the recombinant). <bold>(D)</bold> The heat map shows the region count matrix of the PQ561624 FCoV-162 along with other members of alpha coronaviruses.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image_3.PNG" id="SM3" mimetype="image/png" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>SUPPLEMENTARY FIGURE 3</label>
<caption>
<p>The recombination analysis of the partial genome sequences of the FCoV field isolates. <bold>(A)</bold> Summary of the information about recombination events and signals. <bold>(B)</bold> The summary of recombination detection methods, recombinants, major parents and minor parents.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Table_1.XLS" id="SM4" mimetype="application/vnd.ms-excel" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>SUPPLEMENTARY TABLE 1</label>
<caption>
<p>Nucleotide homology analysis between 68 FCoV strains in the present study and 92 references strains. The nucleotide identity ranged from 81.41% to 95.81%. PQ561615 and MW316846 shared the highest nucleotide identity (95.81%) while PQ561614 and DQ848678 shared the lowest nucleotide identity (81.41%) in the nucleotide comparative analysis.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Table_2.DOCX" id="SM5" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>SUPPLEMENTARY TABLE 2</label>
<caption>
<p>Necropsy and histopathological lesions suggestive of FIP in 43 dead cats. Abbreviations: MB: Mix breed, PB: Pure breed, M: Male, F: Female, U: Unknown, N: Negative, P: Positive, GL: Granulomatous lesions, AE: Abdominal effusion, TE: Thoracic effusion, I: Icterus.</p>
</caption>
</supplementary-material>
</sec>
<ref-list>
<title>References</title>
<ref id="ref1"><label>1.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pedersen</surname><given-names>NC</given-names></name></person-group>. <article-title>A review of feline infectious peritonitis virus infection: 1963-2008</article-title>. <source>J Feline Med Surg</source>. (<year>2009</year>) <volume>11</volume>:<fpage>225</fpage>&#x2013;<lpage>58</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jfms.2008.09.008</pub-id>, PMID: <pub-id pub-id-type="pmid">19254859</pub-id></citation></ref>
<ref id="ref2"><label>2.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gao</surname><given-names>YY</given-names></name> <name><surname>Wang</surname><given-names>Q</given-names></name> <name><surname>Liang</surname><given-names>XY</given-names></name> <name><surname>Zhang</surname><given-names>S</given-names></name> <name><surname>Bao</surname><given-names>D</given-names></name> <name><surname>Zhao</surname><given-names>H</given-names></name> <etal/></person-group>. <article-title>An updated review of feline coronavirus: mind the two biotypes</article-title>. <source>Virus Res</source>. (<year>2023</year>) <volume>326</volume>:<fpage>199059</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.virusres.2023.199059</pub-id>, PMID: <pub-id pub-id-type="pmid">36731629</pub-id></citation></ref>
<ref id="ref3"><label>3.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tasker</surname><given-names>S</given-names></name> <name><surname>Addie</surname><given-names>DD</given-names></name> <name><surname>Egberink</surname><given-names>H</given-names></name> <name><surname>Hofmann-Lehmann</surname><given-names>R</given-names></name> <name><surname>Hosie</surname><given-names>MJ</given-names></name> <name><surname>Truyen</surname><given-names>U</given-names></name> <etal/></person-group>. <article-title>Feline infectious peritonitis: European advisory board on cat diseases guidelines</article-title>. <source>Viruses</source>. (<year>2023</year>) <volume>15</volume>:<fpage>1847</fpage>. doi: <pub-id pub-id-type="doi">10.3390/v15091847</pub-id>, PMID: <pub-id pub-id-type="pmid">37766254</pub-id></citation></ref>
<ref id="ref4"><label>4.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Vijaykrishna</surname><given-names>D</given-names></name> <name><surname>Smith</surname><given-names>GJ</given-names></name> <name><surname>Zhang</surname><given-names>JX</given-names></name> <name><surname>Peiris</surname><given-names>JS</given-names></name> <name><surname>Chen</surname><given-names>H</given-names></name> <name><surname>Guan</surname><given-names>Y</given-names></name></person-group>. <article-title>Evolutionary insights into the ecology of coronaviruses</article-title>. <source>J Virol</source>. (<year>2007</year>) <volume>81</volume>:<fpage>4012</fpage>&#x2013;<lpage>20</lpage>. doi: <pub-id pub-id-type="doi">10.1128/JVI.02605-06</pub-id> Erratum in: J Virol. 2007;81(15):8371., PMID: <pub-id pub-id-type="pmid">17267506</pub-id></citation></ref>
<ref id="ref5"><label>5.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jaimes</surname><given-names>JA</given-names></name> <name><surname>Whittaker</surname><given-names>GR</given-names></name></person-group>. <article-title>Feline coronavirus: insights into viral pathogenesis based on the spike protein structure and function</article-title>. <source>Virology</source>. (<year>2018</year>) <volume>517</volume>:<fpage>108</fpage>&#x2013;<lpage>21</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.virol.2017.12.027</pub-id>, PMID: <pub-id pub-id-type="pmid">29329682</pub-id></citation></ref>
<ref id="ref6"><label>6.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>de Barros</surname><given-names>BCV</given-names></name> <name><surname>de Castro</surname><given-names>CMO</given-names></name> <name><surname>Pereira</surname><given-names>D</given-names></name> <name><surname>Ribeiro</surname><given-names>LG</given-names></name> <name><surname>J&#x00FA;nior</surname><given-names>JWBD</given-names></name> <name><surname>Casseb</surname><given-names>SMM</given-names></name> <etal/></person-group>. <article-title>First complete genome sequence of a feline alphacoronavirus 1 strain from Brazil</article-title>. <source>Microbiol Resour Announc</source>. (<year>2019</year>) <volume>8</volume>:<fpage>e01535-18</fpage>. doi: <pub-id pub-id-type="doi">10.1128/MRA.01535-18</pub-id></citation></ref>
<ref id="ref7"><label>7.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gao</surname><given-names>YY</given-names></name> <name><surname>Liang</surname><given-names>XY</given-names></name> <name><surname>Wang</surname><given-names>Q</given-names></name> <name><surname>Zhang</surname><given-names>S</given-names></name> <name><surname>Zhao</surname><given-names>H</given-names></name> <name><surname>Wang</surname><given-names>K</given-names></name> <etal/></person-group>. <article-title>Mind the feline coronavirus: comparison with SARS-CoV-2</article-title>. <source>Gene</source>. (<year>2022</year>) <volume>825</volume>:<fpage>146443</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.gene.2022.146443</pub-id>, PMID: <pub-id pub-id-type="pmid">35337854</pub-id></citation></ref>
<ref id="ref8"><label>8.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Benetka</surname><given-names>V</given-names></name> <name><surname>K&#x00FC;bber-Heiss</surname><given-names>A</given-names></name> <name><surname>Kolodziejek</surname><given-names>J</given-names></name> <name><surname>Nowotny</surname><given-names>N</given-names></name> <name><surname>Hofmann-Parisot</surname><given-names>M</given-names></name> <name><surname>M&#x00F6;stl</surname><given-names>K</given-names></name></person-group>. <article-title>Prevalence of feline coronavirus types I and II in cats with histopathologically verified feline infectious peritonitis</article-title>. <source>Vet Microbiol</source>. (<year>2004</year>) <volume>99</volume>:<fpage>31</fpage>&#x2013;<lpage>42</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.vetmic.2003.07.010</pub-id>, PMID: <pub-id pub-id-type="pmid">15019109</pub-id></citation></ref>
<ref id="ref9"><label>9.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hartmann</surname><given-names>K</given-names></name></person-group>. <article-title>Feline infectious peritonitis</article-title>. <source>Vet Clin N Am</source>. (<year>2005</year>) <volume>35</volume>:<fpage>39</fpage>&#x2013;<lpage>79</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cvsm.2004.10.011</pub-id>, PMID: <pub-id pub-id-type="pmid">15627627</pub-id></citation></ref>
<ref id="ref10"><label>10.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Decaro</surname><given-names>N</given-names></name> <name><surname>Mari</surname><given-names>V</given-names></name> <name><surname>Lanave</surname><given-names>G</given-names></name> <name><surname>Lorusso</surname><given-names>E</given-names></name> <name><surname>Lucente</surname><given-names>MS</given-names></name> <name><surname>Desario</surname><given-names>C</given-names></name> <etal/></person-group>. <article-title>Mutation analysis of the spike protein in Italian feline infectious peritonitis virus and feline enteric coronavirus sequences</article-title>. <source>Res Vet Sci</source>. (<year>2021</year>) <volume>135</volume>:<fpage>15</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.rvsc.2020.12.023</pub-id>, PMID: <pub-id pub-id-type="pmid">33418186</pub-id></citation></ref>
<ref id="ref11"><label>11.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tekes</surname><given-names>G</given-names></name> <name><surname>Thiel</surname><given-names>HJ</given-names></name></person-group>. <article-title>Feline coronaviruses: pathogenesis of feline infectious peritonitis</article-title>. <source>Adv Virus Res</source>. (<year>2016</year>) <volume>96</volume>:<fpage>193</fpage>&#x2013;<lpage>218</lpage>. doi: <pub-id pub-id-type="doi">10.1016/bs.aivir.2016.08.002</pub-id>, PMID: <pub-id pub-id-type="pmid">27712624</pub-id></citation></ref>
<ref id="ref12"><label>12.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pedersen</surname><given-names>NC</given-names></name> <name><surname>Boyle</surname><given-names>JF</given-names></name> <name><surname>Floyd</surname><given-names>K</given-names></name> <name><surname>Fudge</surname><given-names>A</given-names></name> <name><surname>Barker</surname><given-names>J</given-names></name></person-group>. <article-title>An enteric coronavirus infection of cats and its relationship to feline infectious peritonitis</article-title>. <source>Am J Vet Res</source>. (<year>1981</year>) <volume>42</volume>:<fpage>368</fpage>&#x2013;<lpage>77</lpage>. doi: <pub-id pub-id-type="doi">10.2460/ajvr.1981.42.03.368</pub-id></citation></ref>
<ref id="ref13"><label>13.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Herrewegh</surname><given-names>AA</given-names></name> <name><surname>Smeenk</surname><given-names>I</given-names></name> <name><surname>Horzinek</surname><given-names>MC</given-names></name> <name><surname>Rottier</surname><given-names>PJ</given-names></name> <name><surname>de Groot</surname><given-names>RJ</given-names></name></person-group>. <article-title>Feline coronavirus type II strains 79-1683 and 79-1146 originate from a double recombination between feline coronavirus type I and canine coronavirus</article-title>. <source>J Virol</source>. (<year>1998</year>) <volume>72</volume>:<fpage>4508</fpage>&#x2013;<lpage>14</lpage>. doi: <pub-id pub-id-type="doi">10.1128/JVI.72.5.4508-4514.1998</pub-id>, PMID: <pub-id pub-id-type="pmid">9557750</pub-id></citation></ref>
<ref id="ref14"><label>14.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Foley</surname><given-names>JE</given-names></name> <name><surname>Poland</surname><given-names>A</given-names></name> <name><surname>Carlson</surname><given-names>J</given-names></name> <name><surname>Pedersen</surname><given-names>NC</given-names></name></person-group>. <article-title>Risk factors for feline infectious peritonitis among cats in multiple-cat environments with endemic feline enteric coronavirus</article-title>. <source>J Am Vet Med Assoc</source>. (<year>1997</year>) <volume>210</volume>:<fpage>1313</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.2460/javma.1997.210.09.1313</pub-id>, PMID: <pub-id pub-id-type="pmid">9143536</pub-id></citation></ref>
<ref id="ref15"><label>15.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kipar</surname><given-names>A</given-names></name> <name><surname>Meli</surname><given-names>ML</given-names></name> <name><surname>Baptiste</surname><given-names>KE</given-names></name> <name><surname>Bowker</surname><given-names>LJ</given-names></name> <name><surname>Lutz</surname><given-names>H</given-names></name></person-group>. <article-title>Sites of feline coronavirus persistence in healthy cats</article-title>. <source>J Gen Virol</source>. (<year>2010</year>) <volume>91</volume>:<fpage>1698</fpage>&#x2013;<lpage>707</lpage>. doi: <pub-id pub-id-type="doi">10.1099/vir.0.020214-0</pub-id>, PMID: <pub-id pub-id-type="pmid">20237226</pub-id></citation></ref>
<ref id="ref16"><label>16.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cave</surname><given-names>TA</given-names></name> <name><surname>Golder</surname><given-names>MC</given-names></name> <name><surname>Simpson</surname><given-names>J</given-names></name> <name><surname>Addie</surname><given-names>DD</given-names></name></person-group>. <article-title>Risk factors for feline coronavirus seropositivity in cats relinquished to a UK rescue charity</article-title>. <source>J Feline Med Surg</source>. (<year>2004</year>) <volume>6</volume>:<fpage>53</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jfms.2004.01.003</pub-id>, PMID: <pub-id pub-id-type="pmid">15123148</pub-id></citation></ref>
<ref id="ref17"><label>17.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dye</surname><given-names>C</given-names></name> <name><surname>Helps</surname><given-names>CR</given-names></name> <name><surname>Siddell</surname><given-names>SG</given-names></name></person-group>. <article-title>Evaluation of real-time RT-PCR for the quantification of FCoV shedding in the faeces of domestic cats</article-title>. <source>J Feline Med Surg</source>. (<year>2008</year>) <volume>10</volume>:<fpage>167</fpage>&#x2013;<lpage>74</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jfms.2007.10.010</pub-id>, PMID: <pub-id pub-id-type="pmid">18243744</pub-id></citation></ref>
<ref id="ref18"><label>18.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sabshin</surname><given-names>SJ</given-names></name> <name><surname>Levy</surname><given-names>JK</given-names></name> <name><surname>Tupler</surname><given-names>T</given-names></name> <name><surname>Tucker</surname><given-names>SJ</given-names></name> <name><surname>Greiner</surname><given-names>EC</given-names></name> <name><surname>Leutenegger</surname><given-names>CM</given-names></name></person-group>. <article-title>Enteropathogens identified in cats entering a Florida animal shelter with normal feces or diarrhea</article-title>. <source>J Am Vet Med Assoc</source>. (<year>2012</year>) <volume>241</volume>:<fpage>331</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.2460/javma.241.3.331</pub-id>, PMID: <pub-id pub-id-type="pmid">22812469</pub-id></citation></ref>
<ref id="ref19"><label>19.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wolfe</surname><given-names>LG</given-names></name> <name><surname>Griesemer</surname><given-names>RA</given-names></name></person-group>. <article-title>Feline infectious peritonitis</article-title>. <source>Pathol Vet</source>. (<year>1966</year>) <volume>3</volume>:<fpage>255</fpage>&#x2013;<lpage>70</lpage>. doi: <pub-id pub-id-type="doi">10.1177/030098586600300309</pub-id>, PMID: <pub-id pub-id-type="pmid">5958991</pub-id></citation></ref>
<ref id="ref20"><label>20.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pedersen</surname><given-names>NC</given-names></name> <name><surname>Ward</surname><given-names>J</given-names></name> <name><surname>Mengeling</surname><given-names>WL</given-names></name></person-group>. <article-title>Antigenic relationship of the feline infectious peritonitis virus to coronaviruses of other species</article-title>. <source>Arch Virol</source>. (<year>1978</year>) <volume>58</volume>:<fpage>45</fpage>&#x2013;<lpage>53</lpage>. doi: <pub-id pub-id-type="doi">10.1007/BF01315534</pub-id>, PMID: <pub-id pub-id-type="pmid">81044</pub-id></citation></ref>
<ref id="ref21"><label>21.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Solikhah</surname><given-names>TI</given-names></name> <name><surname>Agustin</surname><given-names>QAD</given-names></name> <name><surname>Damaratri</surname><given-names>RA</given-names></name> <name><surname>Siwi</surname><given-names>DAF</given-names></name> <name><surname>Rafi'uttaqi</surname><given-names>GN</given-names></name> <name><surname>Hartadi</surname><given-names>VA</given-names></name> <etal/></person-group>. <article-title>A review of feline infectious peritonitis virus infection</article-title>. <source>Vet World</source>. (<year>2024</year>) <volume>17</volume>:<fpage>2417</fpage>&#x2013;<lpage>32</lpage>. doi: <pub-id pub-id-type="doi">10.14202/vetworld.2024.2417-2432</pub-id>, PMID: <pub-id pub-id-type="pmid">39829669</pub-id></citation></ref>
<ref id="ref22"><label>22.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Herrewegh</surname><given-names>AA</given-names></name> <name><surname>De Groot</surname><given-names>RJ</given-names></name> <name><surname>Cepica</surname><given-names>A</given-names></name> <name><surname>Egberink</surname><given-names>HF</given-names></name> <name><surname>Horzinek</surname><given-names>MC</given-names></name> <name><surname>Rottier</surname><given-names>PJ</given-names></name></person-group>. <article-title>Detection of feline coronavirus RNA in feces, tissues, and body fluids of naturally infected cats by reverse transcriptase PCR</article-title>. <source>J Clin Microbiol</source>. (<year>1995</year>) <volume>33</volume>:<fpage>684</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1128/jcm.33.3.684-689.1995</pub-id>, PMID: <pub-id pub-id-type="pmid">7751377</pub-id></citation></ref>
<ref id="ref23"><label>23.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dewerchin</surname><given-names>HL</given-names></name> <name><surname>Cornelissen</surname><given-names>E</given-names></name> <name><surname>Nauwynck</surname><given-names>HJ</given-names></name></person-group>. <article-title>Replication of feline coronaviruses in peripheral blood monocytes</article-title>. <source>Arch Virol</source>. (<year>2005</year>) <volume>150</volume>:<fpage>2483</fpage>&#x2013;<lpage>500</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00705-005-0598-6</pub-id>, PMID: <pub-id pub-id-type="pmid">16052283</pub-id></citation></ref>
<ref id="ref24"><label>24.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Can-&#x015E;ahna</surname><given-names>K</given-names></name> <name><surname>Ataseven</surname><given-names>VS</given-names></name> <name><surname>P&#x0131;nar</surname><given-names>D</given-names></name> <name><surname>O&#x011F;uzo&#x011F;lu</surname><given-names>T&#x00C7;</given-names></name></person-group>. <article-title>The detection of feline coronaviruses in blood samples from cats by mRNA RT-PCR</article-title>. <source>J Feline Med Surg</source>. (<year>2007</year>) <volume>9</volume>:<fpage>369</fpage>&#x2013;<lpage>72</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jfms.2007.03.002</pub-id>, PMID: <pub-id pub-id-type="pmid">17478116</pub-id></citation></ref>
<ref id="ref25"><label>25.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Vogel</surname><given-names>L</given-names></name> <name><surname>Van der Lubben</surname><given-names>M</given-names></name> <name><surname>te Lintelo</surname><given-names>EG</given-names></name> <name><surname>Bekker</surname><given-names>CP</given-names></name> <name><surname>Geerts</surname><given-names>T</given-names></name> <name><surname>Schuijff</surname><given-names>LS</given-names></name> <etal/></person-group>. <article-title>Pathogenic characteristics of persistent feline enteric coronavirus infection in cats</article-title>. <source>Vet Res</source>. (<year>2010t</year>) <volume>41</volume>:<fpage>71</fpage>. doi: <pub-id pub-id-type="doi">10.1051/vetres/2010043</pub-id>, PMID: <pub-id pub-id-type="pmid">20663472</pub-id></citation></ref>
<ref id="ref26"><label>26.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Herrewegh</surname><given-names>AA</given-names></name> <name><surname>M&#x00E4;hler</surname><given-names>M</given-names></name> <name><surname>Hedrich</surname><given-names>HJ</given-names></name> <name><surname>Haagmans</surname><given-names>BL</given-names></name> <name><surname>Egberink</surname><given-names>HF</given-names></name> <name><surname>Horzinek</surname><given-names>MC</given-names></name> <etal/></person-group>. <article-title>Persistence and evolution of feline coronavirus in a closed cat-breeding colony</article-title>. <source>Virology</source>. (<year>1997</year>) <volume>234</volume>:<fpage>349</fpage>&#x2013;<lpage>63</lpage>. doi: <pub-id pub-id-type="doi">10.1006/viro.1997.8663</pub-id>, PMID: <pub-id pub-id-type="pmid">9268167</pub-id></citation></ref>
<ref id="ref27"><label>27.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pedersen</surname><given-names>NC</given-names></name> <name><surname>Sato</surname><given-names>R</given-names></name> <name><surname>Foley</surname><given-names>JE</given-names></name> <name><surname>Poland</surname><given-names>AM</given-names></name></person-group>. <article-title>Common virus infections in cats, before and after being placed in shelters, with emphasis on feline enteric coronavirus</article-title>. <source>J Feline Med Surg</source>. (<year>2004</year>) <volume>6</volume>:<fpage>83</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jfms.2003.08.008</pub-id>, PMID: <pub-id pub-id-type="pmid">15123152</pub-id></citation></ref>
<ref id="ref28"><label>28.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bell</surname><given-names>ET</given-names></name> <name><surname>Toribio</surname><given-names>JALML</given-names></name> <name><surname>White</surname><given-names>JD</given-names></name> <name><surname>Malik</surname><given-names>R</given-names></name> <name><surname>Norris</surname><given-names>JM</given-names></name></person-group>. <article-title>Seroprevalence study of feline coronavirus in owned and feral cats in Sydney, Australia</article-title>. <source>Aust Vet J</source>. (<year>2006</year>) <volume>84</volume>:<fpage>74</fpage>&#x2013;<lpage>81</lpage>. doi: <pub-id pub-id-type="doi">10.1111/j.1751-0813.2006.tb12231.x</pub-id>, PMID: <pub-id pub-id-type="pmid">16555552</pub-id></citation></ref>
<ref id="ref29"><label>29.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Addie</surname><given-names>D</given-names></name> <name><surname>Bel&#x00E1;k</surname><given-names>S</given-names></name> <name><surname>Boucraut-Baralon</surname><given-names>C</given-names></name> <name><surname>Egberink</surname><given-names>H</given-names></name> <name><surname>Frymus</surname><given-names>T</given-names></name> <name><surname>Gruffydd-Jones</surname><given-names>T</given-names></name> <etal/></person-group>. <article-title>Feline infectious peritonitis. ABCD guidelines on prevention and management</article-title>. <source>J Feline Med Surg</source>. (<year>2009</year>) <volume>11</volume>:<fpage>594</fpage>&#x2013;<lpage>604</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jfms.2009.05.008</pub-id>, PMID: <pub-id pub-id-type="pmid">19481039</pub-id></citation></ref>
<ref id="ref30"><label>30.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sharif</surname><given-names>S</given-names></name> <name><surname>Arshad</surname><given-names>SS</given-names></name> <name><surname>Hair-Bejo</surname><given-names>M</given-names></name> <name><surname>Omar</surname><given-names>AR</given-names></name> <name><surname>Zeenathul</surname><given-names>NA</given-names></name> <name><surname>Hafidz</surname><given-names>MA</given-names></name></person-group>. <article-title>Prevalence of feline coronavirus in two cat populations in Malaysia</article-title>. <source>J Feline Med Surg</source>. (<year>2009</year>) <volume>11</volume>:<fpage>1031</fpage>&#x2013;<lpage>4</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jfms.2009.08.005</pub-id>, PMID: <pub-id pub-id-type="pmid">19818660</pub-id></citation></ref>
<ref id="ref31"><label>31.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Taharaguchi</surname><given-names>S</given-names></name> <name><surname>Soma</surname><given-names>T</given-names></name> <name><surname>Hara</surname><given-names>M</given-names></name></person-group>. <article-title>Prevalence of feline coronavirus antibodies in Japanese domestic cats during the past decade</article-title>. <source>J Vet Med Sci</source>. (<year>2012</year>) <volume>74</volume>:<fpage>1355</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1292/jvms.11-0577</pub-id>, PMID: <pub-id pub-id-type="pmid">22673084</pub-id></citation></ref>
<ref id="ref32"><label>32.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kipar</surname><given-names>A</given-names></name> <name><surname>May</surname><given-names>H</given-names></name> <name><surname>Menger</surname><given-names>S</given-names></name> <name><surname>Weber</surname><given-names>M</given-names></name> <name><surname>Leukert</surname><given-names>W</given-names></name> <name><surname>Reinacher</surname><given-names>M</given-names></name></person-group>. <article-title>Morphologic features and development of granulomatous vasculitis in feline infectious peritonitis</article-title>. <source>Vet Pathol</source>. (<year>2005</year>) <volume>42</volume>:<fpage>321</fpage>&#x2013;<lpage>30</lpage>. doi: <pub-id pub-id-type="doi">10.1354/vp.42-3-321</pub-id>, PMID: <pub-id pub-id-type="pmid">15872378</pub-id></citation></ref>
<ref id="ref33"><label>33.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Muz</surname><given-names>D</given-names></name> <name><surname>Muz</surname><given-names>MN</given-names></name></person-group>. <article-title>Detection of feline coronavirus, feline immunodeficiency virus, feline leukemia virus, and other pathogen genetic material in whole blood from domestic cats in T&#x00FC;rkiye</article-title>. <source>Acta Vet Eurasia</source>. (<year>2023</year>) <volume>49</volume>:<fpage>141</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.5152/actavet.2023.23017</pub-id></citation></ref>
<ref id="ref34"><label>34.</label><citation citation-type="book"><person-group person-group-type="author"><name><surname>Norsworthy</surname><given-names>GD</given-names></name></person-group>. <article-title>Feline infectious peritonitis</article-title> In: <person-group person-group-type="editor"><name><surname>Norsworthy</surname><given-names>GD</given-names></name></person-group>, editor. <source>The feline patient</source>. <publisher-loc>Ames</publisher-loc>: <publisher-name>Wiley-Blackwell</publisher-name> (<year>2011</year>). <fpage>181</fpage>&#x2013;<lpage>3</lpage>.</citation></ref>
<ref id="ref35"><label>35.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Moyadee</surname><given-names>W</given-names></name> <name><surname>Sunpongsri</surname><given-names>S</given-names></name> <name><surname>Choowongkomon</surname><given-names>K</given-names></name> <name><surname>Roytrakul</surname><given-names>S</given-names></name> <name><surname>Rattanasrisomporn</surname><given-names>A</given-names></name> <name><surname>Tansakul</surname><given-names>N</given-names></name> <etal/></person-group>. <article-title>Feline infectious peritonitis: a comprehensive evaluation of clinical manifestations, laboratory diagnosis, and therapeutic approaches</article-title>. <source>J Adv Vet Anim Res</source>. (<year>2024</year>) <volume>11</volume>:<fpage>19</fpage>&#x2013;<lpage>26</lpage>. doi: <pub-id pub-id-type="doi">10.5455/javar.2024.k742</pub-id>, PMID: <pub-id pub-id-type="pmid">38680809</pub-id></citation></ref>
<ref id="ref36"><label>36.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tekelioglu</surname><given-names>BK</given-names></name> <name><surname>Berriatua</surname><given-names>E</given-names></name> <name><surname>Turan</surname><given-names>N</given-names></name> <name><surname>Helps</surname><given-names>CR</given-names></name> <name><surname>Kocak</surname><given-names>M</given-names></name> <name><surname>Yilmaz</surname><given-names>H</given-names></name></person-group>. <article-title>A retrospective clinical and epidemiological study on feline coronavirus (FCoV) in cats in Istanbul, Turkey</article-title>. <source>Prev Vet Med</source>. (<year>2015</year>) <volume>119</volume>:<fpage>41</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.prevetmed.2015.01.017</pub-id>, PMID: <pub-id pub-id-type="pmid">25687627</pub-id></citation></ref>
<ref id="ref37"><label>37.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Takano</surname><given-names>T</given-names></name> <name><surname>Ohyama</surname><given-names>T</given-names></name> <name><surname>Kokumoto</surname><given-names>A</given-names></name> <name><surname>Satoh</surname><given-names>R</given-names></name> <name><surname>Hohdatsu</surname><given-names>T</given-names></name></person-group>. <article-title>Vascular endothelial growth factor (VEGF), produced by feline infectious peritonitis (FIP) virus-infected monocytes and macrophages, induces vascular permeability and effusion in cats with FIP</article-title>. <source>Virus Res</source>. (<year>2011</year>) <volume>158</volume>:<fpage>161</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.virusres.2011.03.027</pub-id>, PMID: <pub-id pub-id-type="pmid">21473893</pub-id></citation></ref>
<ref id="ref38"><label>38.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tasker</surname><given-names>S</given-names></name></person-group>. <article-title>Diagnosis of feline infectious peritonitis: update on evidence supporting available tests</article-title>. <source>J Feline Med Surg</source>. (<year>2018</year>) <volume>20</volume>:<fpage>228</fpage>&#x2013;<lpage>43</lpage>. doi: <pub-id pub-id-type="doi">10.1177/1098612X18758592</pub-id>, PMID: <pub-id pub-id-type="pmid">29478397</pub-id></citation></ref>
<ref id="ref39"><label>39.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kim</surname><given-names>Y</given-names></name> <name><surname>Liu</surname><given-names>H</given-names></name> <name><surname>Galasiti Kankanamalage</surname><given-names>AC</given-names></name> <name><surname>Weerasekara</surname><given-names>S</given-names></name> <name><surname>Hua</surname><given-names>DH</given-names></name> <name><surname>Groutas</surname><given-names>WC</given-names></name> <etal/></person-group>. <article-title>Reversal of the progression of fatal coronavirus infection in cats by a broad-spectrum coronavirus protease inhibitor</article-title>. <source>PLoS Pathog</source>. (<year>2016</year>) <volume>12</volume>:<fpage>e1005531</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.ppat.1005531</pub-id>, PMID: <pub-id pub-id-type="pmid">27027316</pub-id></citation></ref>
<ref id="ref40"><label>40.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Murphy</surname><given-names>BG</given-names></name> <name><surname>Perron</surname><given-names>M</given-names></name> <name><surname>Murakami</surname><given-names>E</given-names></name> <name><surname>Bauer</surname><given-names>K</given-names></name> <name><surname>Park</surname><given-names>Y</given-names></name> <name><surname>Eckstrand</surname><given-names>C</given-names></name> <etal/></person-group>. <article-title>The nucleoside analog GS-441524 strongly inhibits feline infectious peritonitis (FIP) virus in tissue culture and experimental cat infection studies</article-title>. <source>Vet Microbiol</source>. (<year>2018</year>) <volume>219</volume>:<fpage>226</fpage>&#x2013;<lpage>33</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.vetmic.2018.04.026</pub-id>, PMID: <pub-id pub-id-type="pmid">29778200</pub-id></citation></ref>
<ref id="ref41"><label>41.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pedersen</surname><given-names>NC</given-names></name> <name><surname>Perron</surname><given-names>M</given-names></name> <name><surname>Bannasch</surname><given-names>M</given-names></name> <name><surname>Montgomery</surname><given-names>E</given-names></name> <name><surname>Murakami</surname><given-names>E</given-names></name> <name><surname>Liepnieks</surname><given-names>M</given-names></name> <etal/></person-group>. <article-title>Efficacy and safety of the nucleoside analog GS-441524 for treatment of cats with naturally occurring feline infectious peritonitis</article-title>. <source>J Feline Med Surg</source>. (<year>2019</year>) <volume>21</volume>:<fpage>271</fpage>&#x2013;<lpage>81</lpage>. doi: <pub-id pub-id-type="doi">10.1177/1098612X19825701</pub-id>, PMID: <pub-id pub-id-type="pmid">30755068</pub-id></citation></ref>
<ref id="ref42"><label>42.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hartmann</surname><given-names>K</given-names></name> <name><surname>Binder</surname><given-names>C</given-names></name> <name><surname>Hirschberger</surname><given-names>J</given-names></name> <name><surname>Cole</surname><given-names>D</given-names></name> <name><surname>Reinacher</surname><given-names>M</given-names></name> <name><surname>Schroo</surname><given-names>S</given-names></name> <etal/></person-group>. <article-title>Comparison of different tests to diagnose feline infectious peritonitis</article-title>. <source>J Vet Intern Med</source>. (<year>2003</year>) <volume>17</volume>:<fpage>781</fpage>&#x2013;<lpage>90</lpage>., PMID: <pub-id pub-id-type="pmid">14658713</pub-id></citation></ref>
<ref id="ref43"><label>43.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Addie</surname><given-names>DD</given-names></name> <name><surname>Kennedy</surname><given-names>LJ</given-names></name> <name><surname>Ryvar</surname><given-names>R</given-names></name> <name><surname>Willoughby</surname><given-names>K</given-names></name> <name><surname>Gaskell</surname><given-names>RM</given-names></name> <name><surname>Ollier</surname><given-names>WER</given-names></name> <etal/></person-group>. <article-title>Feline leucocyte antigen class II polymorphism and susceptibility to feline infectious peritonitis</article-title>. <source>J Feline Med Surg</source>. (<year>2004</year>) <volume>6</volume>:<fpage>59</fpage>&#x2013;<lpage>62</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jfms.2003.12.010</pub-id>, PMID: <pub-id pub-id-type="pmid">15123149</pub-id></citation></ref>
<ref id="ref44"><label>44.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pratelli</surname><given-names>A</given-names></name></person-group>. <article-title>Comparison of serologic techniques for the detection of antibodies against feline coronaviruses</article-title>. <source>J Vet Diagn Invest</source>. (<year>2008</year>) <volume>20</volume>:<fpage>45</fpage>&#x2013;<lpage>50</lpage>. doi: <pub-id pub-id-type="doi">10.1177/104063870802000108</pub-id>, PMID: <pub-id pub-id-type="pmid">18182507</pub-id></citation></ref>
<ref id="ref45"><label>45.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sharif</surname><given-names>S</given-names></name> <name><surname>Arshad</surname><given-names>SS</given-names></name> <name><surname>Hair-Bejo</surname><given-names>M</given-names></name> <name><surname>Omar</surname><given-names>AR</given-names></name> <name><surname>Zeenathul</surname><given-names>NA</given-names></name> <name><surname>Alazawy</surname><given-names>A</given-names></name></person-group>. <article-title>Diagnostic methods for feline coronavirus: a review</article-title>. <source>Vet Med Int</source>. (<year>2010</year>) <volume>2010</volume>:<fpage>809</fpage>&#x2013;<lpage>480</lpage>. doi: <pub-id pub-id-type="doi">10.4061/2010/809480</pub-id></citation></ref>
<ref id="ref46"><label>46.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Taylor</surname><given-names>SS</given-names></name> <name><surname>Tappin</surname><given-names>SW</given-names></name> <name><surname>Dodkin</surname><given-names>SJ</given-names></name> <name><surname>Papasouliotis</surname><given-names>K</given-names></name> <name><surname>Casamian-Sorrosal</surname><given-names>D</given-names></name> <name><surname>Tasker</surname><given-names>S</given-names></name></person-group>. <article-title>Serum protein electrophoresis in 155 cats</article-title>. <source>J Feline Med Surg</source>. (<year>2010</year>) <volume>12</volume>:<fpage>643</fpage>&#x2013;<lpage>53</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jfms.2010.03.018</pub-id>, PMID: <pub-id pub-id-type="pmid">20655494</pub-id></citation></ref>
<ref id="ref47"><label>47.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pedersen</surname><given-names>NC</given-names></name></person-group>. <article-title>An update on feline infectious peritonitis: virology and immunopathogenesis</article-title>. <source>Vet J</source>. (<year>2014</year>) <volume>201</volume>:<fpage>123</fpage>&#x2013;<lpage>32</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.tvjl.2014.04.017</pub-id>, PMID: <pub-id pub-id-type="pmid">24837550</pub-id></citation></ref>
<ref id="ref48"><label>48.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hartmann</surname><given-names>K</given-names></name></person-group>. <article-title>Feline infectious peritonitis-new developments in pathogenesis, diagnosis, and management</article-title>. <source>Thai J Vet Med</source>. (<year>2017</year>) <volume>47</volume>:<fpage>97</fpage>&#x2013;<lpage>100</lpage>. doi: <pub-id pub-id-type="doi">10.3390/v12010083</pub-id></citation></ref>
<ref id="ref49"><label>49.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Barua</surname><given-names>S</given-names></name> <name><surname>Sarkar</surname><given-names>S</given-names></name> <name><surname>Chenoweth</surname><given-names>K</given-names></name> <name><surname>Johnson</surname><given-names>C</given-names></name> <name><surname>Delmain</surname><given-names>D</given-names></name> <name><surname>Wang</surname><given-names>C</given-names></name></person-group>. <article-title>Insights on feline infectious peritonitis risk factors and sampling strategies from polymerase chain reaction analysis of feline coronavirus in large-scale nationwide submissions</article-title>. <source>J Am Vet Med Assoc</source>. (<year>2024</year>) <volume>263</volume>:<fpage>82</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.2460/javma.24.03.0208</pub-id></citation></ref>
<ref id="ref50"><label>50.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kumar</surname><given-names>S</given-names></name> <name><surname>Stecher</surname><given-names>G</given-names></name> <name><surname>Tamura</surname><given-names>K</given-names></name></person-group>. <article-title>MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets</article-title>. <source>Mol Biol Evol</source>. (<year>2016</year>) <volume>33</volume>:<fpage>1870</fpage>&#x2013;<lpage>4</lpage>. doi: <pub-id pub-id-type="doi">10.1093/molbev/msw054</pub-id>, PMID: <pub-id pub-id-type="pmid">27004904</pub-id></citation></ref>
<ref id="ref51"><label>51.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Martin</surname><given-names>DP</given-names></name> <name><surname>Varsani</surname><given-names>A</given-names></name> <name><surname>Roumagnac</surname><given-names>P</given-names></name> <name><surname>Botha</surname><given-names>G</given-names></name> <name><surname>Maslamoney</surname><given-names>S</given-names></name> <name><surname>Schwab</surname><given-names>T</given-names></name> <etal/></person-group>. <article-title>RDP5: a computer program for analyzing recombination in, and removing signals of recombination from, nucleotide sequence datasets</article-title>. <source>Virus Evol</source>. (<year>2020</year>) <volume>7</volume>:<fpage>veaa087</fpage>. doi: <pub-id pub-id-type="doi">10.1093/ve/veaa087</pub-id>, PMID: <pub-id pub-id-type="pmid">33936774</pub-id></citation></ref>
<ref id="ref52"><label>52.</label><citation citation-type="book"><person-group person-group-type="author"><name><surname>Kirkwood</surname><given-names>BR</given-names></name> <name><surname>Sterne</surname><given-names>JA</given-names></name></person-group>. <article-title>Study design, analysis and interpretation</article-title> In: <person-group person-group-type="editor"><name><surname>Kirkwood</surname><given-names>BR</given-names></name> <name><surname>Sterne</surname><given-names>JA</given-names></name></person-group>, editors. <source>Essential Medical Statistics</source>. <publisher-loc>Oxford</publisher-loc>: <publisher-name>Blackwell Science</publisher-name> (<year>2003</year>). <fpage>420</fpage>&#x2013;<lpage>1</lpage>.</citation></ref>
<ref id="ref53"><label>53.</label><citation citation-type="book"><person-group person-group-type="author"><name><surname>Villiers</surname><given-names>E</given-names></name> <name><surname>Blackwood</surname><given-names>L</given-names></name></person-group> In: <person-group person-group-type="editor"><name><surname>Villiers</surname><given-names>E</given-names></name> <name><surname>Blackwood</surname><given-names>L</given-names></name></person-group>, editors. <source>BSAVA manual of canine and feline clinical pathology</source>. (<year>2005</year>) <publisher-loc>Gloucester, UK:</publisher-loc> British Small Animal Veterinary Association (BSAVA). British Small Animal Veterinary Association (BSAVA).</citation></ref>
<ref id="ref54"><label>54.</label><citation citation-type="book"><person-group person-group-type="author"><name><surname>Kleinbaum</surname><given-names>DG</given-names></name> <name><surname>Klein</surname><given-names>M</given-names></name></person-group>. <article-title>Logistic regression. A self-learning test</article-title> In: <person-group person-group-type="editor"><name><surname>Kleinbaum</surname><given-names>DG</given-names></name> <name><surname>Klein</surname><given-names>M</given-names></name></person-group>, editors. <source>Statistics for biology and health</source>. <publisher-loc>London</publisher-loc>: <publisher-name>Springer</publisher-name> (<year>2010</year>)</citation></ref>
<ref id="ref55"><label>55.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Drechsler</surname><given-names>Y</given-names></name> <name><surname>Alcaraz</surname><given-names>A</given-names></name> <name><surname>Bossong</surname><given-names>FJ</given-names></name> <name><surname>Collisson</surname><given-names>EW</given-names></name> <name><surname>Diniz</surname><given-names>PPV</given-names></name></person-group>. <article-title>Feline coronavirus in multicat environments</article-title>. <source>Vet Clin N Am Small Anim Pract</source>. (<year>2011</year>) <volume>41</volume>:<fpage>1133</fpage>&#x2013;<lpage>69</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cvsm.2011.08.004</pub-id>, PMID: <pub-id pub-id-type="pmid">22041208</pub-id></citation></ref>
<ref id="ref56"><label>56.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sparkes</surname><given-names>AH</given-names></name> <name><surname>Gruffydd-Jones</surname><given-names>TJ</given-names></name> <name><surname>Harbour</surname><given-names>DA</given-names></name></person-group>. <article-title>Feline coronavirus antibodies in UK cats</article-title>. <source>Vet Rec</source>. (<year>1992</year>) <volume>131</volume>:<fpage>223</fpage>&#x2013;<lpage>4</lpage>. doi: <pub-id pub-id-type="doi">10.1136/vr.131.10.223-a</pub-id>, PMID: <pub-id pub-id-type="pmid">1332241</pub-id></citation></ref>
<ref id="ref57"><label>57.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pesteanu-Somogyi</surname><given-names>LD</given-names></name> <name><surname>Radzai</surname><given-names>C</given-names></name> <name><surname>Pressler</surname><given-names>BM</given-names></name></person-group>. <article-title>Prevalence of feline infectious peritonitis in specific cat breeds</article-title>. <source>J Feline Med Surg</source>. (<year>2006</year>) <volume>8</volume>:<fpage>1</fpage>&#x2013;<lpage>5</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jfms.2005.04.003</pub-id>, PMID: <pub-id pub-id-type="pmid">15994104</pub-id></citation></ref>
<ref id="ref58"><label>58.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Holst</surname><given-names>BS</given-names></name> <name><surname>Englund</surname><given-names>L</given-names></name> <name><surname>Palacios</surname><given-names>S</given-names></name> <name><surname>Renstr&#x00F6;m</surname><given-names>L</given-names></name> <name><surname>Berndtsson</surname><given-names>LT</given-names></name></person-group>. <article-title>Prevalence of antibodies against feline coronavirus and <italic>Chlamydophila felis</italic> in Swedish cats</article-title>. <source>J Feline Med Surg</source>. (<year>2006</year>) <volume>8</volume>:<fpage>207</fpage>&#x2013;<lpage>11</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jfms.2005.12.004</pub-id>, PMID: <pub-id pub-id-type="pmid">16476560</pub-id></citation></ref>
<ref id="ref59"><label>59.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>An</surname><given-names>DJ</given-names></name> <name><surname>Jeoung</surname><given-names>HY</given-names></name> <name><surname>Jeong</surname><given-names>W</given-names></name> <name><surname>Park</surname><given-names>JY</given-names></name> <name><surname>Lee</surname><given-names>MH</given-names></name> <name><surname>Park</surname><given-names>BK</given-names></name></person-group>. <article-title>Prevalence of Korean cats with natural feline coronavirus infections</article-title>. <source>Virol J</source>. (<year>2011</year>) <volume>8</volume>:<fpage>455</fpage>. doi: <pub-id pub-id-type="doi">10.1186/1743-422X-8-455</pub-id>, PMID: <pub-id pub-id-type="pmid">21951835</pub-id></citation></ref>
<ref id="ref60"><label>60.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Barker</surname><given-names>EN</given-names></name> <name><surname>Stranieri</surname><given-names>A</given-names></name> <name><surname>Helps</surname><given-names>CR</given-names></name> <name><surname>Porter</surname><given-names>EL</given-names></name> <name><surname>Davidson</surname><given-names>AD</given-names></name> <name><surname>Day</surname><given-names>MJ</given-names></name> <etal/></person-group>. <article-title>Limitations of using feline coronavirus spike protein gene mutations to diagnose feline infectious peritonitis</article-title>. <source>Vet Res</source>. (<year>2017</year>) <volume>48</volume>:<fpage>60</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s13567-017-0467-9</pub-id>, PMID: <pub-id pub-id-type="pmid">28982390</pub-id></citation></ref>
<ref id="ref61"><label>61.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Duarte</surname><given-names>A</given-names></name> <name><surname>Veiga</surname><given-names>I</given-names></name> <name><surname>Tavares</surname><given-names>L</given-names></name></person-group>. <article-title>Genetic diversity and phylogenetic analysis of feline coronavirus sequences from Portugal</article-title>. <source>Vet Microbiol</source>. (<year>2009</year>) <volume>138</volume>:<fpage>163</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.vetmic.2009.03.009</pub-id>, PMID: <pub-id pub-id-type="pmid">19342183</pub-id></citation></ref>
<ref id="ref62"><label>62.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname><given-names>C</given-names></name> <name><surname>Liu</surname><given-names>Q</given-names></name> <name><surname>Kong</surname><given-names>F</given-names></name> <name><surname>Guo</surname><given-names>D</given-names></name> <name><surname>Zhai</surname><given-names>J</given-names></name> <name><surname>Su</surname><given-names>M</given-names></name> <etal/></person-group>. <article-title>Circulation and genetic diversity of feline coronavirus type I and II from clinically healthy and FIP-suspected cats in China</article-title>. <source>Transbound Emerg Dis</source>. (<year>2019</year>) <volume>66</volume>:<fpage>763</fpage>&#x2013;<lpage>75</lpage>. doi: <pub-id pub-id-type="doi">10.1111/tbed.13081</pub-id>, PMID: <pub-id pub-id-type="pmid">30468573</pub-id></citation></ref>
<ref id="ref63"><label>63.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dong</surname><given-names>B</given-names></name> <name><surname>Zhang</surname><given-names>X</given-names></name> <name><surname>Zhong</surname><given-names>X</given-names></name> <name><surname>Hu</surname><given-names>W</given-names></name> <name><surname>Lin</surname><given-names>Z</given-names></name> <name><surname>Zhang</surname><given-names>S</given-names></name> <etal/></person-group>. <article-title>Prevalence of natural feline coronavirus infection in domestic cats in Fujian, China</article-title>. <source>Virol J</source>. (<year>2024</year>) <volume>21</volume>:<fpage>2</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12985-023-02273-y</pub-id>, PMID: <pub-id pub-id-type="pmid">38172898</pub-id></citation></ref>
<ref id="ref64"><label>64.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Soma</surname><given-names>T</given-names></name> <name><surname>Wada</surname><given-names>M</given-names></name> <name><surname>Taharaguchi</surname><given-names>S</given-names></name> <name><surname>Tajima</surname><given-names>T</given-names></name></person-group>. <article-title>Detection of ascitic feline coronavirus RNA from cats with clinically suspected feline infectious peritonitis</article-title>. <source>J Vet Med Sci</source>. (<year>2013</year>) <volume>75</volume>:<fpage>1389</fpage>&#x2013;<lpage>92</lpage>. doi: <pub-id pub-id-type="doi">10.1292/jvms.13-0094</pub-id>, PMID: <pub-id pub-id-type="pmid">23719724</pub-id></citation></ref>
<ref id="ref65"><label>65.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rohrbach</surname><given-names>BW</given-names></name> <name><surname>Legendre</surname><given-names>AM</given-names></name> <name><surname>Baldwin</surname><given-names>CA</given-names></name> <name><surname>Lein</surname><given-names>DH</given-names></name> <name><surname>Reed</surname><given-names>WM</given-names></name> <name><surname>Wilson</surname><given-names>RB</given-names></name></person-group>. <article-title>Epidemiology of feline infectious peritonitis among cats examined at veterinary medical teaching hospitals</article-title>. <source>J Am Vet Med Assoc</source>. (<year>2001</year>) <volume>218</volume>:<fpage>1111</fpage>&#x2013;<lpage>5</lpage>. doi: <pub-id pub-id-type="doi">10.2460/javma.2001.218.1111</pub-id>, PMID: <pub-id pub-id-type="pmid">11318361</pub-id></citation></ref>
<ref id="ref66"><label>66.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Addie</surname><given-names>DD</given-names></name> <name><surname>Toth</surname><given-names>S</given-names></name> <name><surname>Murray</surname><given-names>GD</given-names></name> <name><surname>Jarrett</surname><given-names>O</given-names></name></person-group>. <article-title>Risk of feline infectious peritonitis in cats naturally infected with feline coronavirus</article-title>. <source>Am J Vet Res</source>. (<year>1995</year>) <volume>56</volume>:<fpage>429</fpage>&#x2013;<lpage>34</lpage>. doi: <pub-id pub-id-type="doi">10.2460/ajvr.1995.56.04.429</pub-id>, PMID: <pub-id pub-id-type="pmid">7785816</pub-id></citation></ref>
<ref id="ref67"><label>67.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Thayer</surname><given-names>V</given-names></name> <name><surname>Gogolski</surname><given-names>S</given-names></name> <name><surname>Felten</surname><given-names>S</given-names></name> <name><surname>Hartmann</surname><given-names>K</given-names></name> <name><surname>Kennedy</surname><given-names>M</given-names></name> <name><surname>Olah</surname><given-names>GA</given-names></name></person-group>. <article-title>2022 AAFP/EveryCat feline infectious peritonitis diagnosis guidelines</article-title>. <source>J Feline Med Surg</source>. (<year>2022</year>) <volume>24</volume>:<fpage>905</fpage>&#x2013;<lpage>33</lpage>. doi: <pub-id pub-id-type="doi">10.1177/1098612X221118761</pub-id>, PMID: <pub-id pub-id-type="pmid">36002137</pub-id></citation></ref>
<ref id="ref68"><label>68.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Worthing</surname><given-names>KA</given-names></name> <name><surname>Wigney</surname><given-names>DI</given-names></name> <name><surname>Dhand</surname><given-names>NK</given-names></name> <name><surname>Fawcett</surname><given-names>A</given-names></name> <name><surname>McDonagh</surname><given-names>P</given-names></name> <name><surname>Malik</surname><given-names>R</given-names></name> <etal/></person-group>. <article-title>Risk factors for feline infectious peritonitis in Australian cats</article-title>. <source>J Feline Med Surg</source>. (<year>2012</year>) <volume>14</volume>:<fpage>405</fpage>&#x2013;<lpage>12</lpage>. doi: <pub-id pub-id-type="doi">10.1177/1098612X12441875</pub-id>, PMID: <pub-id pub-id-type="pmid">22398460</pub-id></citation></ref>
<ref id="ref69"><label>69.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Felten</surname><given-names>S</given-names></name> <name><surname>Klein-Richers</surname><given-names>U</given-names></name> <name><surname>Unterer</surname><given-names>S</given-names></name> <name><surname>Bergmann</surname><given-names>M</given-names></name> <name><surname>Zablotski</surname><given-names>Y</given-names></name> <name><surname>Hofmann-Lehmann</surname><given-names>R</given-names></name> <etal/></person-group>. <article-title>Patterns of feline coronavirus shedding and associated factors in cats from breeding catteries</article-title>. <source>Viruses</source>. (<year>2023</year>) <volume>15</volume>:<fpage>1279</fpage>. doi: <pub-id pub-id-type="doi">10.3390/v15061279</pub-id>, PMID: <pub-id pub-id-type="pmid">37376579</pub-id></citation></ref>
<ref id="ref70"><label>70.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Riemer</surname><given-names>F</given-names></name> <name><surname>Kuehner</surname><given-names>KA</given-names></name> <name><surname>Ritz</surname><given-names>S</given-names></name> <name><surname>Sauter-Louis</surname><given-names>C</given-names></name> <name><surname>Hartmann</surname><given-names>K</given-names></name></person-group>. <article-title>Clinical and laboratory features of cats with feline infectious peritonitis--a retrospective study of 231 confirmed cases (2000-2010)</article-title>. <source>J Feline Med Surg</source>. (<year>2016</year>) <volume>18</volume>:<fpage>348</fpage>&#x2013;<lpage>56</lpage>. doi: <pub-id pub-id-type="doi">10.1177/1098612X15586209</pub-id>, PMID: <pub-id pub-id-type="pmid">26185109</pub-id></citation></ref>
<ref id="ref71"><label>71.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sangl</surname><given-names>L</given-names></name> <name><surname>Matiasek</surname><given-names>K</given-names></name> <name><surname>Felten</surname><given-names>S</given-names></name> <name><surname>Gr&#x00FC;ndl</surname><given-names>S</given-names></name> <name><surname>Bergmann</surname><given-names>M</given-names></name> <name><surname>Balzer</surname><given-names>HJ</given-names></name> <etal/></person-group>. <article-title>Detection of feline coronavirus mutations in paraffin-embedded tissues in cats with feline infectious peritonitis and controls</article-title>. <source>J Feline Med Surg</source>. (<year>2019</year>) <volume>21</volume>:<fpage>133</fpage>&#x2013;<lpage>42</lpage>. doi: <pub-id pub-id-type="doi">10.1177/1098612X18762883</pub-id>, PMID: <pub-id pub-id-type="pmid">29542369</pub-id></citation></ref>
<ref id="ref72"><label>72.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Klein-Richers</surname><given-names>U</given-names></name> <name><surname>Hartmann</surname><given-names>K</given-names></name> <name><surname>Hofmann-Lehmann</surname><given-names>R</given-names></name> <name><surname>Unterer</surname><given-names>S</given-names></name> <name><surname>Bergmann</surname><given-names>M</given-names></name> <name><surname>Rieger</surname><given-names>A</given-names></name> <etal/></person-group>. <article-title>Prevalence of feline coronavirus shedding in German catteries and associated risk factors</article-title>. <source>Viruses</source>. (<year>2020</year>) <volume>12</volume>:<fpage>1000</fpage>. doi: <pub-id pub-id-type="doi">10.3390/v12091000</pub-id>, PMID: <pub-id pub-id-type="pmid">32911718</pub-id></citation></ref>
<ref id="ref73"><label>73.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yin</surname><given-names>Y</given-names></name> <name><surname>Li</surname><given-names>T</given-names></name> <name><surname>Wang</surname><given-names>C</given-names></name> <name><surname>Liu</surname><given-names>X</given-names></name> <name><surname>Ouyang</surname><given-names>H</given-names></name> <name><surname>Ji</surname><given-names>W</given-names></name> <etal/></person-group>. <article-title>A retrospective study of clinical and laboratory features and treatment on cats highly suspected of feline infectious peritonitis in Wuhan, China</article-title>. <source>Sci Rep</source>. (<year>2021</year>) <volume>11</volume>:<fpage>5208</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-021-84754-0</pub-id>, PMID: <pub-id pub-id-type="pmid">33664426</pub-id></citation></ref>
<ref id="ref74"><label>74.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Norris</surname><given-names>JM</given-names></name> <name><surname>Bosward</surname><given-names>KL</given-names></name> <name><surname>White</surname><given-names>JD</given-names></name> <name><surname>Baral</surname><given-names>RM</given-names></name> <name><surname>Catt</surname><given-names>MJ</given-names></name> <name><surname>Malik</surname><given-names>R</given-names></name></person-group>. <article-title>Clinicopathological findings associated with feline infectious peritonitis in Sydney, Australia: 42 cases (1990-2002)</article-title>. <source>Aust Vet J</source>. (<year>2005</year>) <volume>83</volume>:<fpage>666</fpage>&#x2013;<lpage>73</lpage>. doi: <pub-id pub-id-type="doi">10.1111/j.1751-0813.2005.tb13044.x</pub-id>, PMID: <pub-id pub-id-type="pmid">16315663</pub-id></citation></ref>
<ref id="ref75"><label>75.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Coolen</surname><given-names>RL</given-names></name> <name><surname>Cambier</surname><given-names>JC</given-names></name> <name><surname>van Asselt</surname><given-names>E</given-names></name> <name><surname>Blok</surname><given-names>BFM</given-names></name></person-group>. <article-title>Androgen receptors in the forebrain: a study in adult male cats</article-title>. <source>J Morphol</source>. (<year>2023</year>) <volume>284</volume>:<fpage>e21553</fpage>. doi: <pub-id pub-id-type="doi">10.1002/jmor.21553</pub-id>, PMID: <pub-id pub-id-type="pmid">36601705</pub-id></citation></ref>
<ref id="ref76"><label>76.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Coggins</surname><given-names>SJ</given-names></name> <name><surname>Norris</surname><given-names>JM</given-names></name> <name><surname>Malik</surname><given-names>R</given-names></name> <name><surname>Govendir</surname><given-names>M</given-names></name> <name><surname>Hall</surname><given-names>EJ</given-names></name> <name><surname>Kimble</surname><given-names>B</given-names></name> <etal/></person-group>. <article-title>Outcomes of treatment of cats with feline infectious peritonitis using parenteral remdesivir, with or without transition to oral GS-441524</article-title>. <source>J Vet Intern Med</source>. (<year>2023</year>). doi: <pub-id pub-id-type="doi">10.1111/jvim.16803</pub-id></citation></ref>
<ref id="ref77"><label>77.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kass</surname><given-names>PH</given-names></name> <name><surname>Dent</surname><given-names>TH</given-names></name></person-group>. <article-title>The epidemiology of feline infectious peritonitis in catteries</article-title>. <source>Feline Pract</source>. (<year>1995</year>) <volume>23</volume>:<fpage>27</fpage>&#x2013;<lpage>32</lpage>.</citation></ref>
<ref id="ref78"><label>78.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Addie</surname><given-names>DD</given-names></name> <name><surname>Jarrett</surname><given-names>O</given-names></name></person-group>. <article-title>Use of a reverse-transcriptase polymerase chain reaction for monitoring the shedding of feline coronavirus by healthy cats</article-title>. <source>Vet Rec</source>. (<year>2001</year>) <volume>148</volume>:<fpage>649</fpage>&#x2013;<lpage>53</lpage>. doi: <pub-id pub-id-type="doi">10.1136/vr.148.21.649</pub-id>, PMID: <pub-id pub-id-type="pmid">11400984</pub-id></citation></ref>
<ref id="ref79"><label>79.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>de Groot-Mijnes</surname><given-names>JD</given-names></name> <name><surname>Dun</surname><given-names>J M</given-names></name> <name><surname>van der Most</surname><given-names>R G</given-names></name> <name><surname>de Groot</surname><given-names>R J</given-names></name></person-group> <article-title>Natural history of a recurrent feline coronavirus infection and the role of cellular immunity in survival and disease</article-title> <source>J Virol</source> (<year>2005</year>) <volume>79</volume> <fpage>1036</fpage>&#x2013;<lpage>1044</lpage> doi: <pub-id pub-id-type="doi">10.1128/JVI.79.2.1036-1044.2005</pub-id></citation></ref>
<ref id="ref80"><label>80.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tsai</surname><given-names>HY</given-names></name> <name><surname>Chueh</surname><given-names>LL</given-names></name> <name><surname>Lin</surname><given-names>CN</given-names></name> <name><surname>Su</surname><given-names>BL</given-names></name></person-group>. <article-title>Clinicopathological findings and disease staging of feline infectious peritonitis: 51 cases from 2003 to 2009 in Taiwan</article-title>. <source>J Feline Med Surg</source>. (<year>2011</year>) <volume>13</volume>:<fpage>74</fpage>&#x2013;<lpage>80</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jfms.2010.09.014</pub-id>, PMID: <pub-id pub-id-type="pmid">21216644</pub-id></citation></ref>
<ref id="ref81"><label>81.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pedersen</surname><given-names>NC</given-names></name> <name><surname>Eckstrand</surname><given-names>C</given-names></name> <name><surname>Liu</surname><given-names>H</given-names></name> <name><surname>Leutenegger</surname><given-names>C</given-names></name> <name><surname>Murphy</surname><given-names>B</given-names></name></person-group>. <article-title>Levels of feline infectious peritonitis virus in blood, effusions, and various tissues and the role of lymphopenia in disease outcome following experimental infection</article-title>. <source>Vet Microbiol</source>. (<year>2015</year>) <volume>175</volume>:<fpage>157</fpage>&#x2013;<lpage>66</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.vetmic.2014.10.025</pub-id>, PMID: <pub-id pub-id-type="pmid">25532961</pub-id></citation></ref>
<ref id="ref82"><label>82.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Addie</surname><given-names>DD</given-names></name> <name><surname>Silveira</surname><given-names>C</given-names></name> <name><surname>Aston</surname><given-names>C</given-names></name> <name><surname>Brauckmann</surname><given-names>P</given-names></name> <name><surname>Covell-Ritchie</surname><given-names>J</given-names></name> <name><surname>Felstead</surname><given-names>C</given-names></name> <etal/></person-group>. <article-title>Alpha-1 acid glycoprotein reduction differentiated recovery from remission in a small cohort of cats treated for feline infectious peritonitis</article-title>. <source>Viruses</source>. (<year>2022</year>) <volume>14</volume>:<fpage>744</fpage>. doi: <pub-id pub-id-type="doi">10.3390/v14040744</pub-id>, PMID: <pub-id pub-id-type="pmid">35458474</pub-id></citation></ref>
<ref id="ref83"><label>83.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>&#x010C;ern&#x00E1;</surname><given-names>P</given-names></name> <name><surname>Ayoob</surname><given-names>A</given-names></name> <name><surname>Baylor</surname><given-names>C</given-names></name> <name><surname>Champagne</surname><given-names>E</given-names></name> <name><surname>Hazanow</surname><given-names>S</given-names></name> <name><surname>Heidel</surname><given-names>RE</given-names></name> <etal/></person-group>. <article-title>Retrospective survival analysis of cats with feline infectious peritonitis treated with polyprenyl immunostimulant that survived over 365 days</article-title>. <source>Pathogens</source>. (<year>2022</year>) <volume>11</volume>:<fpage>881</fpage>. doi: <pub-id pub-id-type="doi">10.3390/pathogens11080881</pub-id>, PMID: <pub-id pub-id-type="pmid">36015002</pub-id></citation></ref>
<ref id="ref84"><label>84.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname><given-names>W</given-names></name> <name><surname>Hulswit</surname><given-names>RJ</given-names></name> <name><surname>Widjaja</surname><given-names>I</given-names></name> <name><surname>Raj</surname><given-names>VS</given-names></name> <name><surname>McBride</surname><given-names>R</given-names></name> <name><surname>Peng</surname><given-names>W</given-names></name> <etal/></person-group>. <article-title>Identification of sialic acid-binding function for the Middle East respiratory syndrome coronavirus spike glycoprotein</article-title>. <source>Proc Natl Acad Sci USA</source>. (<year>2017</year>) <volume>114</volume>:<fpage>E8508</fpage>&#x2013;<lpage>17</lpage>. doi: <pub-id pub-id-type="doi">10.1073/pnas.1712592114</pub-id>, PMID: <pub-id pub-id-type="pmid">28923942</pub-id></citation></ref>
<ref id="ref85"><label>85.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jaimes</surname><given-names>JA</given-names></name> <name><surname>Millet</surname><given-names>JK</given-names></name> <name><surname>Stout</surname><given-names>AE</given-names></name> <name><surname>Andr&#x00E9;</surname><given-names>NM</given-names></name> <name><surname>Whittaker</surname><given-names>GR</given-names></name></person-group>. <article-title>A tale of two viruses: the distinct spike glycoproteins of feline coronaviruses</article-title>. <source>Viruses</source>. (<year>2020</year>) <volume>12</volume>:<fpage>83</fpage>. doi: <pub-id pub-id-type="doi">10.1111/j.1939-1676.2003.tb02515.x</pub-id></citation></ref>
<ref id="ref86"><label>86.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Paltrinieri</surname><given-names>S</given-names></name> <name><surname>Giordano</surname><given-names>A</given-names></name> <name><surname>Stranieri</surname><given-names>A</given-names></name> <name><surname>Lauzi</surname><given-names>S</given-names></name></person-group>. <article-title>Feline infectious peritonitis (FIP) and coronavirus disease 19 (COVID-19): are they similar?</article-title> <source>Transbound Emerg Dis</source>. (<year>2021</year>) <volume>68</volume>:<fpage>1786</fpage>&#x2013;<lpage>99</lpage>. doi: <pub-id pub-id-type="doi">10.1111/tbed.13856</pub-id>, PMID: <pub-id pub-id-type="pmid">32985113</pub-id></citation></ref>
<ref id="ref87"><label>87.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhou</surname><given-names>Q</given-names></name> <name><surname>Li</surname><given-names>Y</given-names></name> <name><surname>Huang</surname><given-names>J</given-names></name> <name><surname>Fu</surname><given-names>N</given-names></name> <name><surname>Song</surname><given-names>X</given-names></name> <name><surname>Sha</surname><given-names>X</given-names></name> <etal/></person-group>. <article-title>Prevalence and molecular characteristics of feline coronavirus in Southwest China from 2017 to 2020</article-title>. <source>J Gen Virol</source>. (<year>2021</year>) <volume>102</volume>. doi: <pub-id pub-id-type="doi">10.1099/jgv.0.001654</pub-id>, PMID: <pub-id pub-id-type="pmid">34524074</pub-id></citation></ref>
<ref id="ref88"><label>88.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ouyang</surname><given-names>H</given-names></name> <name><surname>Liu</surname><given-names>J</given-names></name> <name><surname>Yin</surname><given-names>Y</given-names></name> <name><surname>Cao</surname><given-names>S</given-names></name> <name><surname>Yan</surname><given-names>R</given-names></name> <name><surname>Ren</surname><given-names>Y</given-names></name> <etal/></person-group>. <article-title>Epidemiology and comparative analyses of the S gene on feline coronavirus in Central China</article-title>. <source>Pathogens</source>. (<year>2022</year>) <volume>11</volume>:<fpage>460</fpage>. doi: <pub-id pub-id-type="doi">10.3390/pathogens11040460</pub-id>, PMID: <pub-id pub-id-type="pmid">35456135</pub-id></citation></ref>
<ref id="ref89"><label>89.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shi</surname><given-names>K</given-names></name> <name><surname>He</surname><given-names>M</given-names></name> <name><surname>Shi</surname><given-names>Y</given-names></name> <name><surname>Long</surname><given-names>F</given-names></name> <name><surname>Shi</surname><given-names>Y</given-names></name> <name><surname>Yin</surname><given-names>Y</given-names></name> <etal/></person-group>. <article-title>Genetic and phylogenetic analysis of feline coronavirus in Guangxi Province of China from 2021 to 2024</article-title>. <source>Vet Sci</source>. (<year>2024</year>) <volume>11</volume>:<fpage>455</fpage>. doi: <pub-id pub-id-type="doi">10.3390/vetsci11100455</pub-id>, PMID: <pub-id pub-id-type="pmid">39453047</pub-id></citation></ref>
<ref id="ref90"><label>90.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Decaro</surname><given-names>N</given-names></name> <name><surname>Mari</surname><given-names>V</given-names></name> <name><surname>Elia</surname><given-names>G</given-names></name> <name><surname>Addie</surname><given-names>DD</given-names></name> <name><surname>Camero</surname><given-names>M</given-names></name> <name><surname>Lucente</surname><given-names>MS</given-names></name> <etal/></person-group>. <article-title>Recombinant canine coronaviruses in dogs, Europe</article-title>. <source>Emerg Infect Dis</source>. (<year>2010</year>) <volume>16</volume>:<fpage>41</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.3201/eid1601.090726</pub-id>, PMID: <pub-id pub-id-type="pmid">20031041</pub-id></citation></ref>
<ref id="ref91"><label>91.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Boniotti</surname><given-names>MB</given-names></name> <name><surname>Papetti</surname><given-names>A</given-names></name> <name><surname>Lavazza</surname><given-names>A</given-names></name> <name><surname>Alborali</surname><given-names>G</given-names></name> <name><surname>Sozzi</surname><given-names>E</given-names></name> <name><surname>Chiapponi</surname><given-names>C</given-names></name> <etal/></person-group>. <article-title>Porcine epidemic diarrhea virus and discovery of a recombinant swine enteric coronavirus, Italy</article-title>. <source>Emerg Infect Dis</source>. (<year>2016</year>) <volume>22</volume>:<fpage>83</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.3201/eid2201.150544</pub-id>, PMID: <pub-id pub-id-type="pmid">26689738</pub-id></citation></ref>
<ref id="ref92"><label>92.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Na</surname><given-names>W</given-names></name> <name><surname>Moon</surname><given-names>H</given-names></name> <name><surname>Song</surname><given-names>D</given-names></name></person-group>. <article-title>A comprehensive review of SARS-CoV-2 genetic mutations and lessons from animal coronavirus recombination in one health perspective</article-title>. <source>J Microbiol</source>. (<year>2021</year>) <volume>59</volume>:<fpage>332</fpage>&#x2013;<lpage>40</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s12275-021-0660-4</pub-id>, PMID: <pub-id pub-id-type="pmid">33624270</pub-id></citation></ref>
<ref id="ref93"><label>93.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kipar</surname><given-names>A</given-names></name> <name><surname>Meli</surname><given-names>ML</given-names></name></person-group>. <article-title>Feline infectious peritonitis: still an enigma?</article-title> <source>Vet Pathol</source>. (<year>2014</year>) <volume>51</volume>:<fpage>505</fpage>&#x2013;<lpage>26</lpage>. doi: <pub-id pub-id-type="doi">10.1177/0300985814522077</pub-id>, PMID: <pub-id pub-id-type="pmid">24569616</pub-id></citation></ref>
<ref id="ref94"><label>94.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zehr</surname><given-names>JD</given-names></name> <name><surname>Kosakovsky Pond</surname><given-names>SL</given-names></name> <name><surname>Millet</surname><given-names>JK</given-names></name> <name><surname>Olarte-Castillo</surname><given-names>XA</given-names></name> <name><surname>Lucaci</surname><given-names>AG</given-names></name> <name><surname>Shank</surname><given-names>SD</given-names></name> <etal/></person-group>. <article-title>Natural selection differences detected in key protein domains between non-pathogenic and pathogenic feline coronavirus phenotypes</article-title>. <source>Virus Evol</source>. (<year>2023</year>) <volume>9</volume>. doi: <pub-id pub-id-type="doi">10.1093/ve/vead019</pub-id>, PMID: <pub-id pub-id-type="pmid">37038392</pub-id></citation></ref>
<ref id="ref95"><label>95.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>YT</given-names></name> <name><surname>Chueh</surname><given-names>LL</given-names></name> <name><surname>Wan</surname><given-names>CH</given-names></name></person-group>. <article-title>An eight-year epidemiologic study based on baculovirus-expressed type-specific spike proteins for the differentiation of type I and II feline coronavirus infections</article-title>. <source>BMC Vet Res</source>. (<year>2014</year>) <volume>10</volume>:<fpage>186</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12917-014-0186-7</pub-id>, PMID: <pub-id pub-id-type="pmid">25123112</pub-id></citation></ref>
<ref id="ref96"><label>96.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Meli</surname><given-names>M</given-names></name> <name><surname>Kipar</surname><given-names>A</given-names></name> <name><surname>M&#x00FC;ller</surname><given-names>C</given-names></name> <name><surname>Jenal</surname><given-names>K</given-names></name> <name><surname>G&#x00F6;nczi</surname><given-names>E</given-names></name> <name><surname>Borel</surname><given-names>N</given-names></name> <etal/></person-group>. <article-title>High viral loads despite absence of clinical and pathological findings in cats experimentally infected with feline coronavirus (FCoV) type I and in naturally FCoV-infected cats</article-title>. <source>J Feline Med Surg</source>. (<year>2004</year>) <volume>6</volume>:<fpage>69</fpage>&#x2013;<lpage>81</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jfms.2003.08.007</pub-id>, PMID: <pub-id pub-id-type="pmid">15123151</pub-id></citation></ref>
<ref id="ref97"><label>97.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yilmaz</surname><given-names>H</given-names></name> <name><surname>Tekelioglu</surname><given-names>BK</given-names></name> <name><surname>Gurel</surname><given-names>A</given-names></name> <name><surname>Bamac</surname><given-names>OE</given-names></name> <name><surname>Ozturk</surname><given-names>GY</given-names></name> <name><surname>Cizmecigil</surname><given-names>UY</given-names></name> <etal/></person-group>. <article-title>Frequency, clinicopathological features and phylogenetic analysis of feline morbillivirus in cats in Istanbul, Turkey</article-title>. <source>J Feline Med Surg</source>. (<year>2017</year>) <volume>19</volume>:<fpage>1206</fpage>&#x2013;<lpage>14</lpage>. doi: <pub-id pub-id-type="doi">10.1177/1098612X16686728</pub-id>, PMID: <pub-id pub-id-type="pmid">28112564</pub-id></citation></ref>
<ref id="ref98"><label>98.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Stranieri</surname><given-names>A</given-names></name> <name><surname>Scavone</surname><given-names>D</given-names></name> <name><surname>Paltrinieri</surname><given-names>S</given-names></name> <name><surname>Giordano</surname><given-names>A</given-names></name> <name><surname>Bonsembiante</surname><given-names>F</given-names></name> <name><surname>Ferro</surname><given-names>S</given-names></name> <etal/></person-group>. <article-title>Concordance between histology, immunohistochemistry, and RT-PCR in the diagnosis of feline infectious peritonitis</article-title>. <source>Pathogens</source>. (<year>2020</year>) <volume>9</volume>:<fpage>852</fpage>. doi: <pub-id pub-id-type="doi">10.3390/pathogens9100852</pub-id>, PMID: <pub-id pub-id-type="pmid">33081040</pub-id></citation></ref>
<ref id="ref99"><label>99.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cony</surname><given-names>FG</given-names></name> <name><surname>Pereira</surname><given-names>VC</given-names></name> <name><surname>Slaviero</surname><given-names>M</given-names></name> <name><surname>Lima</surname><given-names>RP</given-names></name> <name><surname>Castro</surname><given-names>LT</given-names></name> <name><surname>de Moraes</surname><given-names>JT</given-names></name> <etal/></person-group>. <article-title>Anatomopathological characterization of hepatic lesions of feline infectious peritonitis in cats</article-title> <source>J Comp Pathol</source> (<year>2024</year>) <volume>215</volume> <fpage>59</fpage>&#x2013;<lpage>65</lpage> doi: <pub-id pub-id-type="doi">10.1016/j.jcpa.2024.10.003</pub-id></citation></ref>
<ref id="ref100"><label>100.</label><citation citation-type="other"><person-group person-group-type="author"><name><surname>Hartmann</surname><given-names>K</given-names></name> <name><surname>Binder</surname><given-names>C</given-names></name> <name><surname>Hirschberger</surname><given-names>J</given-names></name> <name><surname>Cole</surname><given-names>D</given-names></name> <name><surname>Reinacher</surname><given-names>M</given-names></name> <name><surname>Schroo</surname><given-names>S</given-names></name> <etal/></person-group>. <article-title>Comparison of different tests to diagnose feline infectious peritonitis</article-title>. <source>J Vet Intern Med.</source> (<year>2003</year>) <volume>17</volume>, <fpage>781</fpage>&#x2013;<lpage>90</lpage>.</citation></ref>
<ref id="ref101"><label>101.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Felten</surname><given-names>S</given-names></name> <name><surname>Leutenegger</surname><given-names>CM</given-names></name> <name><surname>Balzer</surname><given-names>HJ</given-names></name> <name><surname>Pantchev</surname><given-names>N</given-names></name> <name><surname>Matiasek</surname><given-names>K</given-names></name> <name><surname>Wess</surname><given-names>G</given-names></name> <etal/></person-group>. <article-title>Sensitivity and specificity of a real-time reverse transcriptase polymerase chain reaction detecting feline coronavirus mutations in effusion and serum/plasma of cats to diagnose feline infectious peritonitis</article-title>. <source>BMC Vet Res</source>. (<year>2017</year>) <volume>13</volume>:<fpage>1</fpage>&#x2013;<lpage>11</lpage>. doi: <pub-id pub-id-type="doi">10.1186/s12917-017-1147-8</pub-id>, PMID: <pub-id pub-id-type="pmid">28768514</pub-id></citation></ref>
<ref id="ref102"><label>102.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Murphy</surname><given-names>BG</given-names></name> <name><surname>Castillo</surname><given-names>D</given-names></name> <name><surname>Neely</surname><given-names>NE</given-names></name> <name><surname>Kol</surname><given-names>A</given-names></name> <name><surname>Brostoff</surname><given-names>T</given-names></name> <name><surname>Grant</surname><given-names>CK</given-names></name> <etal/></person-group>. <article-title>Serologic, Virologic and pathologic features of cats with naturally occurring feline infectious peritonitis enrolled in antiviral clinical trials</article-title>. <source>Viruses</source>. (<year>2024</year>) <volume>16</volume>:<fpage>462</fpage>. doi: <pub-id pub-id-type="doi">10.3390/v16030462</pub-id>, PMID: <pub-id pub-id-type="pmid">38543827</pub-id></citation></ref>
<ref id="ref103"><label>103.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Felten</surname><given-names>S</given-names></name> <name><surname>Hartmann</surname><given-names>K</given-names></name> <name><surname>Doerfelt</surname><given-names>S</given-names></name> <name><surname>Sangl</surname><given-names>L</given-names></name> <name><surname>Hirschberger</surname><given-names>J</given-names></name> <name><surname>Matiasek</surname><given-names>K</given-names></name></person-group>. <article-title>Immunocytochemistry of mesenteric lymph node fine-needle aspirates in the diagnosis of feline infectious peritonitis</article-title>. <source>J Vet Diagn Invest</source>. (<year>2019</year>) <volume>31</volume>:<fpage>210</fpage>&#x2013;<lpage>6</lpage>. doi: <pub-id pub-id-type="doi">10.1177/1040638718825280</pub-id>, PMID: <pub-id pub-id-type="pmid">30694113</pub-id></citation></ref>
</ref-list>
</back>
</article>