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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2023.1116804</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Marine Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Investigation on anthropogenic and opportunistic factors relevant to the incidence of stranded loggerhead sea turtle <italic>Caretta caretta</italic> along South Tyrrhenian coasts</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Serra</surname>
<given-names>Francesco</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Iaccarino</surname>
<given-names>Doriana</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Fiorito</surname>
<given-names>Filomena</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2128160"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Di Nocera</surname>
<given-names>Fabio</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/407827"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Esposito</surname>
<given-names>Mauro</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2147014"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cerracchio</surname>
<given-names>Claudia</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Esposito</surname>
<given-names>Emanuele</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2137852"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lambiase</surname>
<given-names>Sara</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Degli Uberti</surname>
<given-names>Barbara</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lucifora</surname>
<given-names>Giuseppe</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>De Carlo</surname>
<given-names>Esterina</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fusco</surname>
<given-names>Giovanna</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1081797"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Amoroso</surname>
<given-names>Maria Grazia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2129277"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Istituto Zooprofilattico Sperimentale del Mezzogiorno</institution>, <addr-line>Portici (Naples)</addr-line>, <country>Italy</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Universit&#xe0; degli Studi di Napoli Federico II, Dipartimento di Medicina Veterinaria e Produzioni Animali</institution>, <addr-line>Naples</addr-line>, <country>Italy</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Centro di Referenza Nazionale per l&#x2019;analisi e studio di correlazione ambiente, animale</institution>, <addr-line>uomo, Portici (Naples)</addr-line>, <country>Italy</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Julian Blasco, Spanish National Research Council (CSIC), Spain</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Salvatore Siciliano, Funda&#xe7;&#xe3;o Oswaldo Cruz (Fiocruz), Brazil; Montserrat Sole, Institute of Marine Sciences (CSIC), Spain</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Maria Grazia Amoroso, <email xlink:href="mailto:mariagrazia.amoroso@izsmportici.it">mariagrazia.amoroso@izsmportici.it</email>; Filomena Fiorito, <email xlink:href="mailto:filomena.fiorito@unina.it">filomena.fiorito@unina.it</email>; Mauro Esposito, <email xlink:href="mailto:mauro.esposito@izsmportici.it">mauro.esposito@izsmportici.it</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work and share first authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>27</day>
<month>04</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1116804</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>12</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>04</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Serra, Iaccarino, Fiorito, Di Nocera, Esposito, Cerracchio, Esposito, Lambiase, Degli Uberti, Lucifora, De Carlo, Fusco and Amoroso</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Serra, Iaccarino, Fiorito, Di Nocera, Esposito, Cerracchio, Esposito, Lambiase, Degli Uberti, Lucifora, De Carlo, Fusco and Amoroso</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>
<p>
<italic>Caretta Caretta</italic> are endangered sea turtles leaving in the Mediterranean Sea. We carried out a study on 195 sea turtles stranded along the coast of Southern Italy, evaluating anthropogenic and opportunistic factors affecting animal health status and probably threatening the species. More than 60% of the animals showed body injuries, mainly caused by marine traffic and fishing. Ingestion of marine litter of various origins was observed in the digestive tract of 38.5% of the turtles investigated. Chelonid herpesvirus 5 was detected (for the first time in this basin) in 10.8% of the turtles, which were however free from fibropapillomatosis. Analyses on trace elements showed a time-dependent reduction in the mean concentrations of Cd and Hg, a decrease in the levels of Pb, and a time-dependent increase of As. Particularly, a site-dependent accumulation of As was detected in turtles from the coasts of Calabria. There is a significant correlation between the levels of As in the kidney of Campania turtles and their straight-line carapace length, indicating a size-dependent accumulation of this metal. Overall, besides dangerous debris items, high levels of trace elements may weaken the immune system of <italic>Caretta caretta</italic>, the most common turtle of the Mediterranean Sea, making it more likely vulnerable to viruses.</p>
</abstract>
<kwd-group>
<kwd>sea turtles</kwd>
<kwd>marine environment</kwd>
<kwd>chelonid herpesvirus 5</kwd>
<kwd>trace elements</kwd>
<kwd>intestinal plication</kwd>
<kwd>fracture of carapace</kwd>
</kwd-group>
<contract-sponsor id="cn001">Ministry of Health<named-content content-type="fundref-id">10.13039/100009647</named-content>
</contract-sponsor>
<counts>
<fig-count count="8"/>
<table-count count="7"/>
<equation-count count="0"/>
<ref-count count="90"/>
<page-count count="18"/>
<word-count count="9997"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Marine Pollution</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>The loggerhead sea turtle, <italic>Caretta caretta</italic> (<italic>C. caretta</italic>), is the most abundant sea turtle species living and reproducing in the Mediterranean Sea (<xref ref-type="bibr" rid="B65">Pagano et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B31">Esposito et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B63">Ori&#xe1; et&#xa0;al., 2020</xref>). This species is classified as vulnerable to endangered in the International Union for Conservation of Nature&#x2019;s Red List of Threatened Species (<ext-link ext-link-type="uri" xlink:href="https://www.iucnredlist.org">https://www.iucnredlist.org</ext-link> ). Factors threatening <italic>C. caretta</italic> extinction are mainly linked to human activities (<ext-link ext-link-type="uri" xlink:href="http://www.iucn.org">www.iucn.org</ext-link>): coastal areas anthropisation, high level of anthropisation in the coastal areas, marine traffic, sea macroscopic pollution (ingestion of plastic and other debris), chemical pollution, fisheries (entanglement in longlines, trawls and gill nets as well as ingestion of hooks and lines) (<xref ref-type="bibr" rid="B83">Tomas et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B14">Cami&#xf1;as et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B9">B&#xe1;ez et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B28">Echwikhi et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B10">Blasi and Mattei, 2017</xref>; <xref ref-type="bibr" rid="B18">Caracappa et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B65">Pagano et&#xa0;al., 2019</xref>).</p>
<p>Chemical pollution, caused by human and industrial activities (use of fertilisers and pesticides, plastic, oil, and gas production), determines the release in the marine environment of large quantities of nonessential toxic metals, such as arsenic (As), cadmium (Cd), mercury (Hg), and lead (Pb) (<xref ref-type="bibr" rid="B86">Valavanidis and Vlachogianni, 2010</xref>; <xref ref-type="bibr" rid="B87">Varol, 2011</xref>; <xref ref-type="bibr" rid="B31">Esposito et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B48">Lambiase et&#xa0;al., 2021b</xref>), which are accumulated by sea turtles mainly through the ingestion of contaminated prey, but also through marine sediment and seawater (<xref ref-type="bibr" rid="B79">Storelli et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B12">Bucchia et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B15">Cammilleri et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B49">Lambiase et&#xa0;al., 2021a</xref>). The accumulation of these chemicals, as already reported for other marine pollutants (<xref ref-type="bibr" rid="B38">Gonzalez-Fernandez and Cuesta, 2022</xref>), could weaken the immune system of sea turtles (<xref ref-type="bibr" rid="B23">Chaousis et&#xa0;al., 2023</xref>), making them more vulnerable to bacterial or viral infections (<xref ref-type="bibr" rid="B33">Fiorito et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B34">Fiorito et&#xa0;al., 2021</xref>). In this regard, they are susceptible to an alphaherpesvirus belonging to the <italic>Herpesviridae</italic> family, named chelonid herpesvirus 5 (ChHV5). The virus can infect several species of aquatic turtles and is considered the causative agent of the formation and development of fibropapillomas (<xref ref-type="bibr" rid="B3">Aguirre et&#xa0;al., 1994</xref>; <xref ref-type="bibr" rid="B73">Quackenbush et&#xa0;al., 1998</xref>). Even though fibropapillomatosis (FP) mostly affects green sea turtles (<italic>Chelonia mydas</italic>), all marine turtles can contract the disease (<xref ref-type="bibr" rid="B50">Lawrance et&#xa0;al., 2018</xref>). FP is characterised by the presence of cutaneous lesions growing on the external soft tissue of the animal body, on the carapace, plastron, and cornea (<xref ref-type="bibr" rid="B46">Jones et&#xa0;al., 2016</xref>). The tumours, although not malignant, can hinder crucial functions (<xref ref-type="bibr" rid="B74">Rodenbusch et&#xa0;al., 2014</xref>), like the animal&#x2019;s ability to see, breathe, swim, dive, forage, and avoid predators (<xref ref-type="bibr" rid="B59">Milton and Lutz, 2003</xref>; <xref ref-type="bibr" rid="B68">Perrault et&#xa0;al., 2021</xref>), thus indirectly causing its death. The lesions can also be observed (with reported prevalence varying from 17% to 41%, <xref ref-type="bibr" rid="B89">Work et&#xa0;al., 2004</xref>) in visceral organs; they mainly occur in the lungs and kidneys, but also, to a lesser extent, in the heart, gastrointestinal tract, and liver (<xref ref-type="bibr" rid="B39">Herbst and Klein, 1995</xref>; <xref ref-type="bibr" rid="B4">Alfaro-Nunez et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B46">Jones et&#xa0;al., 2016</xref>). ChHV5 has been consistently associated with FP, with fibropapillomas containing high concentrations of ChHV5 DNA (<xref ref-type="bibr" rid="B4">Alfaro-Nunez et&#xa0;al., 2016</xref>). However, recent PCR-based studies have detected high levels of ChHV5 DNA also in apparently healthy tissues without fibropapillomas (<xref ref-type="bibr" rid="B67">Page-Karjian et&#xa0;al., 2012</xref>), demonstrating that large proportions of asymptomatic sea turtles can also be virus carriers (<xref ref-type="bibr" rid="B4">Alfaro-Nunez et&#xa0;al., 2016</xref>) and suggesting the probable ability of ChHV5 to latently persist in their organism (<xref ref-type="bibr" rid="B5">Alfaro-Nunez et&#xa0;al., 2014</xref>, <xref ref-type="bibr" rid="B4">Alfaro-Nunez, 2016</xref>). In this regard, it is conceivable that, if particular conditions compromise the immune system of animals, like critical water temperature, coinfection with other pathogens, or the presence of pollutants (<xref ref-type="bibr" rid="B46">Jones et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B50">Lawrance et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B23">Chaousis et&#xa0;al., 2023</xref>), the virus could be reactivated and trigger the onset of a disease, not necessarily FP.</p>
<p>The present study was carried out (from 2015 to 2020) on specimens of sea turtles stranded along the coasts of Southern Italy overlooking the Mediterranean Sea. Animals underwent viral, bacterial, histological, and chemical investigations with the aim of carrying out a comprehensive analysis of the causes of turtle stranding and, more generally, to trace a picture of the anthropogenic and opportunistic factors involved in the animal health status and in the endangerment of the species.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Sample collection</title>
<p>Following regional plans (Executive Decree No. 231 of 14 July 2015 for Campania region and DPGR-CA No.104 of 29 July 2013 for Calabria region), from 2015 to 2020, a total of 195 specimens of loggerhead sea turtles (<italic>C. caretta</italic>) were collected among those beached along the coasts of the Southern Tyrrhenian Sea in Southern Italy. Of these, 150 were stranded along the Campania region coasts (75 in the province of Naples, 39 in the province of Salerno, 18 in the province of Caserta, and 18 in the islands area among Procida, Ischia, and Capri); 45 were stranded along the Calabria region coasts (five in the province of Cosenza, 25 in the province of Reggio Calabria, two in the province of Vibo Valentia, and 13 in the province of Catanzaro) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). A detailed indication of the animals examined per year in each region is reported in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Maps of stranded <italic>Caretta caretta</italic> turtle (<italic>n</italic> = 195) sampling sites. In the circle, ChHV5-positive animal collection sites. <bold>(A)</bold> Campania region: 1, Caserta province; 2, Naples and islands; and 3, Salerno province. <bold>(B)</bold> Calabria region: 1, Cosenza province; 2, Vibo Valentia area; and 3, Catanzaro province.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1116804-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Sea turtles examined in the Campania and Calabria regions from 2015 to 2020.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Region</th>
<th valign="top" align="left">2015</th>
<th valign="top" align="left">2016</th>
<th valign="top" align="left">2017</th>
<th valign="top" align="left">2018</th>
<th valign="top" align="left">2019</th>
<th valign="top" align="left">2020</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Campania</bold>
</td>
<td valign="top" align="left">21</td>
<td valign="top" align="left">17</td>
<td valign="top" align="left">39</td>
<td valign="top" align="left">23</td>
<td valign="top" align="left">21</td>
<td valign="top" align="left">29</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Calabria</bold>
</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">2</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">17</td>
<td valign="top" align="left">21</td>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="left">21</td>
<td valign="top" align="left">18</td>
<td valign="top" align="left">41</td>
<td valign="top" align="left">27</td>
<td valign="top" align="left">38</td>
<td valign="top" align="left">50</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_2">
<title>Post-mortem investigations</title>
<p>Dead loggerhead sea turtles undergo necropsy as soon as possible, and if possible, do not alter the conservation state of the carcasses. The condition of the carcasses was determined following the &#x201c;standard protocol for post-mortem examination on sea turtles&#x201d; (<ext-link ext-link-type="uri" xlink:href="https://www.plavi-svijet.org/bw/wp-content/uploads/2017/05/NETCET_Standard-protocols-for-post-mortem-examination-of-sea-turtles.pdf">https://www.plavi-svijet.org/bw/wp-content/uploads/2017/05/NETCET_Standard-protocols-for-post-mortem-examination-of-sea-turtles.pdf</ext-link>), and a code was assigned accordingly. Measurement of the following morphological parameters was performed: body weight (BW), curved carapace length (CCL), straight-line carapace length (SCL), curved carapace width (CCW), straight-line carapace width (SCW), head length (HL), and head width (HW). The CCL, measured from the mid-point of the nuchal scute to the posteriormost tip of the carapace (<xref ref-type="bibr" rid="B90">Wyneken, 2001</xref>) by a flexible meter tape, was used to determine the age of the animal. The sex of turtles is determined by a visual examination of the gonads (<xref ref-type="bibr" rid="B90">Wyneken, 2001</xref>). The nutritional condition score of each animal was appreciated by the ventral deposition of the fat under the plastron (<xref ref-type="bibr" rid="B77">Solomon et&#xa0;al., 1986</xref>), observed after its removal (<ext-link ext-link-type="uri" xlink:href="https://www.plavi-svijet.org/bw/wp-content/uploads/2017/05/NETCET_Standard-protocols-for-post-mortem-examination-of-sea-turtles.pdf">https://www.plavi-svijet.org/bw/wp-content/uploads/2017/05/NETCET_Standard-protocols-for-post-mortem-examination-of-sea-turtles.pdf</ext-link>). During macroscopic investigations, the animal&#x2019;s body was carefully inspected to detect the presence of any wounds and abrasions on the skin, fins, tail, carapace, and head, as well as to check for the presence of external neoplastic lesions like FP. The state of the eyes was also checked, and conjunctival hyperaemia was evaluated. Furthermore, the presence of fishing hooks or objects of plastic causing obstruction in the buccal cavity was ascertained. After macroscopic inspection, turtles underwent necropsy: tissues and organs were removed with sterile scalpels, and pieces of them were sent to the laboratories for bacterial, virological, histological, and chemical analyses.</p>
</sec>
<sec id="s2_3">
<title>Viral nucleic acid extraction procedures</title>
<p>Samples from the liver, heart, intestine, lungs, cloaca, skin, kidneys, and brain were individually homogenised by Tissue Lyser (Qiagen GmbH, Hilden, Germany). In brief, 25 mg of tissue were inserted in 2&#xa0;ml of Eppendorf safe-lock tubes containing 1&#xa0;ml of phosphate-buffered saline (PBS) solution and a 4.8-mm stainless-steel bead to allow mechanical lysis (30&#xa0;Hz for 5&#xa0;min). Homogenates were centrifuged at 2,000&#x2013;4,000 rpm for 15&#xa0;min to pellet the debris. Nucleic acid extraction was carried out on 200 &#xb5;l of homogenate by using the QIAsymphony automated extraction system (Qiagen GmbH, Hilden, Germany) with the DSP Virus/Pathogen Mini kit (Qiagen GmbH, Hilden, Germany) according to the manufacturer&#x2019;s instructions. Nucleic acids were eluted in 80 &#xb5;l of elution buffer. Instead of homogenate, a sample made with 200 &#xb5;l of PBS was used as a process control. PCR inhibition was evaluated using an external amplification control, murine norovirus, added to the samples prior to extraction, as indicated by <xref ref-type="bibr" rid="B24">Cioffi et&#xa0;al. (2020)</xref>.</p>
</sec>
<sec id="s2_4">
<title>Real-time PCR identification of ChHV5</title>
<p>Detection of ChHV5 was carried out by a real-time PCR protocol targeting the glycoprotein B (gB) gene (<xref ref-type="bibr" rid="B1">Ackermann et&#xa0;al., 2012</xref>) with some modifications. In detail, the reaction was carried out in a total volume of 25 &#xb5;l containing the following: 5 &#xb5;l of template, 12.5 &#xb5;l of TaqMan&#xae; Universal PCR Master Mix (Thermo Fisher Scientific, Waltham, MA, USA), 0.5 &#xb5;l of primer (5 &#xb5;M) 5&#x2032;-pol-For (5&#x2032;-ACTGGCTGGCACTCAGGAAA-3&#x2032;), 0.5 &#xb5;l of primer (5 &#xb5;M) 3&#x2032;-pol-Rev (5&#x2032;-CAGCTGCTGCTTGTCCAAAA-3&#x2032;), and 0.5 &#xb5;l of probe (20 &#xb5;M) pol-P (FAM-5&#x2032;-CGATGAAAACCGCACCGAGCGA-3&#x2032;-TAMRA). The thermal profile was the following: initial denaturation for 15&#xa0;min at 95&#xb0;C, followed by 45 cycles of 15 s at 95&#xb0;C and 60 s at 60&#xb0;C.</p>
<p>Samples were analysed in duplicate, and results were considered positive when the mean threshold cycle (Ct) was &lt; 40.&#xa0;A nuclease-free water sample was included in the PCR as a negative control. Positive turtle tissues given by Dr. Alonzo Alfaro-N&#xfa;&#xf1;ez (Department of Virus and Microbiological Special Diagnostics, Statens Serum Institut, Artillerivej 5, 2300 Copenhagen S, Denmark) were used as positive controls.</p>
</sec>
<sec id="s2_5">
<title>Cultural methods</title>
<p>Organs positive for ChHV5 were further investigated by bacterial culture methods to ascertain the possible presence of co-infecting bacterial pathogens. Briefly, tissues were inoculated either into trypticase soy agar (TSA) supplemented with 5% sheep blood (Oxoid Ltd., Basingstoke, Hampshire, England) or into TSA supplemented with 2% NaCl (Oxoid Ltd., Basingstoke, Hampshire, England), and then aerobically incubated at 25&#xb0;C for 24&#x2013;72 h. Intestine samples were instead inoculated into TSA supplemented with 5% sheep blood (Oxoid Ltd., Basingstoke, Hampshire, England) and anaerobically incubated at 25&#xb0;C for 24&#x2013;72 h. All the suspected colonies underwent biochemical characterisation by API&#xae; 20E and API&#xae; 20NE (Biomerieux, Marcy-l&#x2019;Etoile, France) with modified incubation temperature (25&#xb0;C for 24&#x2013;48 h), as indicated by <xref ref-type="bibr" rid="B13">Buller (2014)</xref> and by Vitek 2&#xae; (Biomerieux Marcy-l&#x2019;Etoile, France). Identified species were confirmed by taxonomic identification through the MicroSEQ&#xae; rapid microbial identification system (Thermo Fisher Scientific, Waltham, MA, USA), based on sequencing of the 16s rRNA.</p>
</sec>
<sec id="s2_6">
<title>Histopathological analysis</title>
<p>Tissues and possible lesions from ChHV5-positive animals (21) were maintained in 10% neutral phosphate-buffered formalin to block the phenomena of autolysis and to preserve the samples. Afterwards, they were processed by sequential washing steps in ethanol to dehydrate the samples. Tissues were then included in paraffin blocks, which were cut into 3&#x2013;4-&#xb5;m-thick sections. Each section was stained with haematoxylin and eosin to be analysed under an optical microscope.</p>
</sec>
<sec id="s2_7">
<title>Chemical analysis</title>
<p>The determination of toxic elements, Hg, Pb, Cd, and As, was performed in the liver, muscle, and kidney of 94 turtles, specifically, 52 animals from Campania region and 42 from Calabria region. Mummified turtles were not considered for the chemical analysis. For the analysis, the samples were homogenised, then 0.75<bold>&#xa0;g</bold> were weighted and subjected to acid mineralisation with nitric acid (69%) and hydrogen peroxide (30% v/v), using a microwave digestion system Ethos One (Milestone, Bergamo, Italy). Concentrations were measured by an atomic absorption spectrophotometer with a transversely heated graphite furnace (GF-AAS) with the Zeeman effect for electrothermal atomisation and equipped with an autosampler (Analyst 800, Perkin-Elmer, Germany). Hollow cathode lamps were used as line sources for both elements. The absorption wavelengths were 228.8, 283.3, and 193.7 nm for cadmium, lead, and arsenic, respectively. Total mercury was determined by an atomic absorption spectrophotometer (mod. 5010, Perkin-Elmer, Germany) after the reduction of mercury in volatile hydrides by sodium tetrahydroborate. Each sample was analysed in duplicates, and the mean results were expressed in milligrammes per kilogramme of wet weight (ww). The limits of quantification (LOQs) were 0.030, 0.005, 0.020, and 0.17 mg kg<sup>&#x2212;1</sup> for Hg, Cd, Pb, and As, respectively. The methods used were validated by means of an in-house quality control procedure and by using certified reference materials (NIST-SRM 2976 (mussel tissue&#x2014;Community Bureau of Reference) to assess precision and accuracy. The accuracy of the method was assessed also through participation in several proficiency tests; the obtained z-score values were within <bold>&#xb1;</bold>2, indicating satisfactory results.</p>
</sec>
<sec id="s2_8">
<title>Statistical analysis</title>
<p>Statistical analysis was performed using Minitab v18 (Minitab, LLC, State College, Pennsylvania, USA). For the calculations, the results of metal concentrations below the LOQ values were considered equal to one-half LOQ, according to ISTISAN (Report 04/15). The correlations between contaminants found in turtle tissues and their morphometric parameters, as well as the ChHV5-positive samples, were assessed by applying the Spearman&#x2019;s correlation test. The correlations greater than 0.500 with <italic>p</italic> &lt; 0.05 were analysed using a linear regression approach.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Animal classification based on morphological characters</title>
<p>The 195 specimens collected were made up of 103 (52.8%) females (75 from Campania and 28 from Calabria), 65 (33.3%) males (52 from Campania and 13 from Calabria), and 27 sea turtles (13.8%) whose sexes were undistinguishable due to the bad condition of the carcasses (animals defined as decomposed or mummified). The body weight and the CCL were measured in 178 of 195 marine turtles (see <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>) (17 animals were considered &#x201c;unknown&#x201d; since they were not measurable due to their poor conservation conditions). On the basis of the CCL, the animals were divided into three groups (<xref ref-type="bibr" rid="B71">Piovano et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B22">Casale and Mariani, 2014</xref>; <xref ref-type="bibr" rid="B76">Solomando et&#xa0;al., 2022</xref>): the &#x201c;early juveniles&#x201d; (ej; CCL &lt; 40&#xa0;cm) to which belonged 12 sea turtles from each region, the &#x201c;large juveniles&#x201d; (lj; 40&#xa0;cm &#x2264; CCL &#x2264; 70&#xa0;cm) to which belonged 112 animals (83 from Campania and 29 from Calabria), and the &#x201c;adults&#x201d; (A; CCL &gt; 70&#xa0;cm), including 42 sea turtles, all from the Campania region. Furthermore, the age of the animals was estimated by the curved length of the carapace measurement using the equation of von Bertalanffy adapted to sea turtles (<xref ref-type="bibr" rid="B71">Piovano et&#xa0;al., 2011</xref>). Results showed that the early juveniles belonged to turtles with a calculated age of &#x2264;7 years, the large juvenile group included animals with a calculated age from 8 to 23 years, while the adult group included &#x2265;24-year-old turtles.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Morphometrics and physiological parameters evaluated during necropsy in the Campania and Calabria regions.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" colspan="2" align="center">Morphometrics and physiological parameters</th>
<th valign="top" align="center">Campania</th>
<th valign="top" align="center">Calabria</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">Weight (kg)</td>
<td valign="top" align="center">Min&#x2013;max</td>
<td valign="top" align="center">0.03&#x2013;111.2</td>
<td valign="top" align="center">0.8&#x2013;50</td>
</tr>
<tr>
<td valign="top" align="center">CCL (cm)</td>
<td valign="top" align="center">Min&#x2013;max</td>
<td valign="top" align="center">4.2&#x2013;91.1</td>
<td valign="top" align="center">21&#x2013;68.2</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="center">Condition code<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">32</td>
</tr>
<tr>
<td valign="top" align="center">2</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="center">3</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">3</td>
</tr>
<tr>
<td valign="top" align="center">4</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">4</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="center">Nutritional condition score<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">105</td>
<td valign="top" align="center">30</td>
</tr>
<tr>
<td valign="top" align="center">3/4</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">11</td>
</tr>
<tr>
<td valign="top" align="center">5</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">4</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="fnT2_1">
<label>a</label>
<p>Condition code and nutritional condition score were evaluated in accordance with the literature (<ext-link ext-link-type="uri" xlink:href="https://www.plavi-svijet.org/bw/wp-content/uploads/2017/05/NETCET_Standard-protocols-for-post-mortem-examinationof-sea-turtles.pdf">https://www.plavi-svijet.org/bw/wp-content/uploads/2017/05/NETCET_Standard-protocols-for-post-mortem-examinationof-sea-turtles.pdf</ext-link>).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Necropsy evaluation of sea turtles&#x2019; carcasses condition</title>
<p>Evaluation of carcass condition gave the following results: of the 195 carcasses examined, 67 (34.3%) were fresh (code 1), 46 (23.6%) were moderately decomposed (code 2), 58 (29.7%) were in the advanced decomposition state (code 3), and 24 (12.3%) were in the state of mummification (code 4). The nutritional condition was considered very good (score 2) for 135 turtles (69.2%), fair (score 3) or scarce (score 4) for 36/195 animals (18.5%), and not evaluable (score 5) for the mummified animals (24) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). In inspecting the digestive tract of the animals, the presence of hooks, lines, plastic debris, and other marine litter of unknown origin was found in 75/195 (22 from Calabria and 53 from Campania) of the specimens analysed (38.5%). In detail, in the Campania region, 56.6% (30/53) of the turtles ingested plastic debris, and the remaining 43.4% (23/53) ingested hooks and/or lines. In the Calabria region, 63.6% (14/22) of the sea turtles ingested unknown material, 31.8% hooks and/or lines (7/22), and 4.5% (1/22) plastic debris. Hooks mainly caused oesophagus laceration and, more rarely, pericardium laceration, while ingestion of lines determined intestinal plication, intussusception, and laceration (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2</bold>
</xref>, <xref ref-type="fig" rid="f3">
<bold>3D</bold>
</xref>). In 27 animals, the internal lesions observed were considered noncompatible with life. In particular, the ingestion of fishing gears was estimated to be fatal in six of seven turtles from Calabria (85.7%) and in 21/23 from Campania (91.3%) (see <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Loggerhead sea turtle that ingested a line. The object entered the rhamphotheca <bold>(A)</bold> and exited the cloaca, <bold>(B)</bold> causing plication and intussusception in both small and large tracts of the intestine <bold>(C)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1116804-g002.tif"/>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Animals with fatal wounds caused by anthropic impact. <bold>(A)</bold> Carapace fracture probably caused by the propeller of a boat. <bold>(B)</bold> Laceration at the basis of the fin likely determined by the entanglement of the animal in a net or a line. <bold>(C)</bold> Carapace fracture (with organ leakage) probably caused by a collision with a boat. <bold>(D)</bold> Laceration of the intestine caused by hook ingestion.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1116804-g003.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Anthropogenic causes of stranding/death and their effects.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Causes</th>
<th valign="top" align="center">Number of sea turtles</th>
<th valign="top" align="center">Effects</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">Hook and line ingestion</td>
<td valign="top" align="center">27/195 (13.8%)</td>
<td valign="top" align="center">Organ laceration, intestinal laceration, plication, and intussusception</td>
</tr>
<tr>
<td valign="top" align="center">Collision/Entanglement</td>
<td valign="top" align="center">26/195 (13.3%)</td>
<td valign="top" align="center">Fracture of carapace, fins, and plastron</td>
</tr>
<tr>
<td valign="top" align="center">Mixed anthropogenic impacts</td>
<td valign="top" align="center">64/195 (32.8%)</td>
<td valign="top" align="center">Various external/internal injuries</td>
</tr>
<tr>
<td valign="top" align="center">Unknown (infective, bycatch)</td>
<td valign="top" align="center">54/195 (27.7%)</td>
<td valign="top" align="center">No visible signs</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Of the 195 animals analysed, 24 (12.3%) were found in a state of mummification and therefore not included in the table.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Sea turtles examined from 2015 to 2020, the prevalence of positivity to ChHV5, age group, and collection sites of positive turtles.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Site</th>
<th valign="top" align="left">Year</th>
<th valign="top" align="left">Animals examined</th>
<th valign="top" align="left">Positive samples (%)</th>
<th valign="top" align="left">Group</th>
<th valign="top" align="left">Collection site</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="6" align="left">
<bold>Campania</bold>
</td>
<td valign="top" align="left">2015</td>
<td valign="top" align="left">21</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">2016</td>
<td valign="top" align="left">17</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">2017</td>
<td valign="top" align="left">39</td>
<td valign="top" align="left">6 (15.4%)</td>
<td valign="top" align="left">Large juveniles (3)<break/>Adults (2)<break/>Unknown (1)</td>
<td valign="top" align="left">Salerno (3)<break/>Naples (1)<break/>Caserta (1)<break/>Islands (1)</td>
</tr>
<tr>
<td valign="top" align="left">2018</td>
<td valign="top" align="left">23</td>
<td valign="top" align="left">7 (30.4%)</td>
<td valign="top" align="left">Large juveniles (5)<break/>Adults (2)</td>
<td valign="top" align="left">Salerno (4)<break/>Islands (2)<break/>Naples (1)</td>
</tr>
<tr>
<td valign="top" align="left">2019</td>
<td valign="top" align="left">21</td>
<td valign="top" align="left">1 (4.8%)</td>
<td valign="top" align="left">Large juveniles (1)</td>
<td valign="top" align="left">Salerno (1)</td>
</tr>
<tr>
<td valign="top" align="left">2020</td>
<td valign="top" align="left">29</td>
<td valign="top" align="left">3 (10.3%)</td>
<td valign="top" align="left">Large juveniles (3)</td>
<td valign="top" align="left">Naples (3)</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">
<bold>Calabria</bold>
</td>
<td valign="top" align="left">2016</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">2017</td>
<td valign="top" align="left">2</td>
<td valign="top" align="left">1 (50%)</td>
<td valign="top" align="left">Unknown (1)</td>
<td valign="top" align="left">Catanzaro (1)</td>
</tr>
<tr>
<td valign="top" align="left">2018</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">1 (25%)</td>
<td valign="top" align="left">Large juveniles (1)</td>
<td valign="top" align="left">Catanzaro (1)</td>
</tr>
<tr>
<td valign="top" align="left">2019</td>
<td valign="top" align="left">17</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">2020</td>
<td valign="top" align="left">21</td>
<td valign="top" align="left">2 (9.5%)</td>
<td valign="top" align="left">Early juveniles (1)<break/>Large juveniles (1)</td>
<td valign="top" align="left">Vibo Valentia (1)<break/>Cosenza (1)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>The percentage of positivity is referred to by the years.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Of the animals analysed, 21.5% (42/195), all from Campania (almost one-third of the animals analysed in this region), presented injuries like fractures of carapace, fins, and plastron (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>), caused by collision with boats or by entanglement in nets and lines. As indicated in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>, more than one-half of these injuries (an example is the amputation of the head or important body fractures determining the leakage of the internal organs) were considered fatal (26/42, 61.9%). For 64 animals (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>), the mortality was not clearly attributed to a specific event but probably due to a mix of anthropogenic factors (ingestion of litter, injuries by collisions, etc.). In 54 sea turtles, no visible anthropogenic signs were found, and the cause of death was defined as unknown. No internal or external tumours, typically associated with FP, were detected.</p>
<sec id="s3_2_1">
<title>Identification of pathogens and heavy metals</title>
<sec id="s3_2_1_1">
<title>Positivity to ChHV5 virus</title>
<p>ChHV5 DNA was identified in 21 of the 195 sea turtles analysed (10.8%), 17/150 (11.3%) in Campania and 4/45 (8.9%) in Calabria, with the prevalence of detection varying in the years under study (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). As reported in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> and <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>, positive animals were distributed all along the coast of Campania, being found in the Salerno area, between the coasts of Naples in the islands, and in Caserta province. The four cases detected in Calabria were from the provinces of Catanzaro, Cosenza, and Vibo Valentia (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>, <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Of the 21 ChHV5-positive turtles, 14 (66.7%) belonged to the large juvenile group, four (19.0%) were adults, one (4.8%) belonged to early juvenile group, and two (9.5%) were not classifiable. The prevalence of the virus in the age groups was as follows: 12.5% in lj, 9.5% in A, and 4.2% in ej (see <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). With respect to sex, no significant difference in virus prevalence was observed between females and males (11.65% and 12.3%, respectively).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Prevalence of ChHV5 in the different age groups of sea turtles analysed. Histogram indicates the total number of turtles belonging to the age group, while the red part of it indicates the number of turtles positive for the virus.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1116804-g004.tif"/>
</fig>
<p>ChHV5 was identified in all the types of organs analysed. With respect to the 21 positive animals, the prevalence was as follows: intestine, 12/21 (57.1%); lung, nine of 21 (42.8%); brain, eight of 21 (38.1%); kidney, eight of 21 (38.1%); liver, seven of 21 (33.3%); heart, six of 21 (28.5%); and cloaca, four of 21 (19.0%) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). The spleen was only collected from three animals, and two of these samples were positive for the virus. Skin tissue always resulted negative. In eight turtles, the virus was detected only in one organ; in 10 animals, it was detected in two organs; in seven turtles, ChHV5 was simultaneously found in three organs; in one animal (from Calabria), it was detected in four (heart, spleen, intestine, and lungs) of the six organs investigated.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Prevalence of ChHV5 in the different organs analysed. The spleen is not considered since only three samples were analysed.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1116804-g005.tif"/>
</fig>
</sec>
</sec>
<sec id="s3_2_2">
<title>Macro- and microscopical observation of CHhV5-positive lungs</title>
<p>In ChHV5-positive animals, organs were more thoroughly investigated to observe any pathological condition connectable to the virus presence, as well as to point out the likely presence of co-infecting bacterial pathogens. In two of the 21 ChHV5-positive turtles, a macroscopical frame of acute-haemorrhagic bilateral bronchopneumonia was found (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). Those animals were both females belonging to the lj group, and viral DNA was found in the lungs and at least in another organ, the heart for one animal and the intestine and liver for the other. For histology, only animals positive to ChHV5 with tissues/organs in good conservation state (10 animals) were investigated.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>ChHV5-positive lungs with bilateral severe haemorrhagic congestion in the airways and in the parenchyma. Arrow indicates blood clots in the lumen of the airways.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1116804-g006.tif"/>
</fig>
<p>Histological examination (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>) revealed similar findings, showing the multifocal inflammatory reaction of the airways with severe and diffuse inflammatory changes in all sections of the lungs. Airways contained a variably abundant luminal accumulation of numerous sloughed necrotic epithelial cells, erythrocytes, and heterophils. The pulmonary interstitium was diffusely expanded by hyperemia and numerous heterophils and lymphocytes. The interfoveolar interstitium was characterised by congestion and inflammation foci with the presence of lymphocytes and heterophils, a frame consistent with subacute focal interstitial bronchopneumonia. Furthermore, the organs of these animals, when analysed for bacterial pathogen co-infection, were negative.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Histological examination of the lungs. <bold>(A)</bold> Magnification at &#xd7;4: multifocal inflammatory reaction of the airways containing sloughed epithelial cells. <bold>(B)</bold> Magnification at &#xd7;10: congestion and inflammation foci in the interfoveolar interstitium. <bold>(C, D)</bold> Magnification at &#xd7;20: heterophilic inflammatory peribronchial foci with the presence of lymphocytes and heterophils in the interfoveolar interstitium.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1116804-g007.tif"/>
</fig>
</sec>
</sec>
<sec id="s3_3">
<title>Analysis of toxic metals</title>
<p>The levels of nonessential toxic elements like As, Cd, Hg, and Pb were determined in the liver, kidney, and muscle of 94 sea turtles, 52 from the Campania region and 42 from the Calabria region (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8</bold>
</xref>, <xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>).</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Box plots of As, Hg, Pb, Cd, and Pb concentrations (mg kg<sup>&#x2212;1</sup> ww) in turtles. The lines in the middle of the box plots represent the medians.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1116804-g008.tif"/>
</fig>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Range, mean, and standard deviation of As, Cd, Hg, and Pb (mg kg<sup>&#x2212;1</sup> wet weight) in the liver (L), kidney (K), and muscle (M) of analysed turtles according to the collection site.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Site</th>
<th valign="top" align="center">Parameters</th>
<th valign="top" align="center">Pb (L)</th>
<th valign="top" align="center">Pb (K)</th>
<th valign="top" align="center">Pb (M)</th>
<th valign="top" align="center">Cd (L)</th>
<th valign="top" align="center">Cd (K)</th>
<th valign="top" align="center">Cd (M)</th>
<th valign="top" align="center">As (L)</th>
<th valign="top" align="center">As (K)</th>
<th valign="top" align="center">As (M)</th>
<th valign="top" align="center">Hg (L)</th>
<th valign="top" align="center">Hg (K)</th>
<th valign="top" align="center">Hg (M)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="4" align="center">
<bold>Campania</bold>
</td>
<td valign="top" align="center">Mean</td>
<td valign="top" align="center">0.178</td>
<td valign="top" align="center">0.221</td>
<td valign="top" align="center">0.139</td>
<td valign="top" align="center">1.71</td>
<td valign="top" align="center">6.02</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">6.93<sup>*</sup>
</td>
<td valign="top" align="center">9.79<sup>*</sup>
</td>
<td valign="top" align="center">38.70</td>
<td valign="top" align="center">0.200</td>
<td valign="top" align="center">0.142</td>
<td valign="top" align="center">0.109</td>
</tr>
<tr>
<td valign="top" align="center">St. dev.</td>
<td valign="top" align="center">0.214</td>
<td valign="top" align="center">0.239</td>
<td valign="top" align="center">0.146</td>
<td valign="top" align="center">2.25</td>
<td valign="top" align="center">6.87</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">6.10</td>
<td valign="top" align="center">8.48</td>
<td valign="top" align="center">44.13</td>
<td valign="top" align="center">0.292</td>
<td valign="top" align="center">0.192</td>
<td valign="top" align="center">0.278</td>
</tr>
<tr>
<td valign="top" align="center">Min</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">0.006</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">2.64</td>
<td valign="top" align="center">2.92</td>
<td valign="top" align="center">4.63</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
</tr>
<tr>
<td valign="top" align="center">Max</td>
<td valign="top" align="center">0.950</td>
<td valign="top" align="center">1.000</td>
<td valign="top" align="center">0.544</td>
<td valign="top" align="center">13.50</td>
<td valign="top" align="center">30.50</td>
<td valign="top" align="center">0.61</td>
<td valign="top" align="center">18.54</td>
<td valign="top" align="center">30.29</td>
<td valign="top" align="center">154.50</td>
<td valign="top" align="center">1.61</td>
<td valign="top" align="center">0.930</td>
<td valign="top" align="center">1.74</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="center">
<bold>Calabria</bold>
</td>
<td valign="top" align="center">Mean</td>
<td valign="top" align="center">0.211</td>
<td valign="top" align="center">0.427</td>
<td valign="top" align="center">0.157</td>
<td valign="top" align="center">1.46</td>
<td valign="top" align="center">7.56</td>
<td valign="top" align="center">0.058</td>
<td valign="top" align="center">16.68<sup>*</sup>
</td>
<td valign="top" align="center">19.17<sup>*</sup>
</td>
<td valign="top" align="center">32.88</td>
<td valign="top" align="center">0.265</td>
<td valign="top" align="center">0.278</td>
<td valign="top" align="center">0.130</td>
</tr>
<tr>
<td valign="top" align="center">St. dev.</td>
<td valign="top" align="center">0.292</td>
<td valign="top" align="center">1.08</td>
<td valign="top" align="center">0.245</td>
<td valign="top" align="center">0.899</td>
<td valign="top" align="center">6.13</td>
<td valign="top" align="center">0.109</td>
<td valign="top" align="center">11.88</td>
<td valign="top" align="center">14.33</td>
<td valign="top" align="center">37.21</td>
<td valign="top" align="center">0.261</td>
<td valign="top" align="center">0.800</td>
<td valign="top" align="center">0.275</td>
</tr>
<tr>
<td valign="top" align="center">Min</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">0.030</td>
<td valign="top" align="center">0.069</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">0.960</td>
<td valign="top" align="center">1.38</td>
<td valign="top" align="center">1.66</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
</tr>
<tr>
<td valign="top" align="center">Max</td>
<td valign="top" align="center">1.13</td>
<td valign="top" align="center">6.77</td>
<td valign="top" align="center">1.000</td>
<td valign="top" align="center">4.05</td>
<td valign="top" align="center">26.33</td>
<td valign="top" align="center">0.712</td>
<td valign="top" align="center">50.50</td>
<td valign="top" align="center">72.95</td>
<td valign="top" align="center">120.40</td>
<td valign="top" align="center">1.33</td>
<td valign="top" align="center">5.10</td>
<td valign="top" align="center">1.68</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>*</sup>p-value of the comparison between As (L) and As (K) values of the analysed turtles from Campania vs. Calabria is p &lt; 0.001 and p &lt; 0.01, respectively.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Preliminary results were already demonstrated (see <xref ref-type="bibr" rid="B31">Esposito et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B17">Canzanella et&#xa0;al., 2021</xref>). When As concentrations found in the animals from the Campania region were measured, they varied in the range from 2.64 to 18.54 mg kg<sup>&#x2212;1</sup> (<italic>n</italic> = 30) in the liver, 2.92 to 30.29 mg kg<sup>&#x2212;1</sup> (<italic>n</italic> = 23) in the kidney, and 4.63 to 154.50 mg kg<sup>&#x2212;1</sup> (<italic>n</italic> = 30) in the muscle. In turtles from the Calabria region, the concentrations of As in the liver varied in the range of 0.960&#x2013;50.50 mg kg<sup>&#x2212;1</sup> (<italic>n</italic> = 41), in the kidney between 1.38 and 72.95 mg kg<sup>&#x2212;1</sup> (<italic>n</italic> = 39), and in the muscle in the range of 1.66&#x2013;120.40 mg kg<sup>&#x2212;1</sup> (<italic>n</italic> = 41). Comparing the data from the two regions, the values of As in the liver and kidney were higher in turtles from the Calabria region than in the Campania region (<italic>p</italic> &lt; 0.001 and <italic>p</italic> &lt; 0.01, respectively).</p>
<p>In turtles from the Campania region, Hg in the liver showed levels ranging between &lt;LOQ and 1.61 mg kg<sup>&#x2212;1</sup> (<italic>n</italic> = 49); in the kidney, the levels were &lt;LOQ&#x2013;0.930 mg kg<sup>&#x2212;1</sup> (<italic>n</italic> = 41); and in the muscle, Hg levels ranged between &lt;LOQ and 1.74 mg kg<sup>&#x2212;1</sup> (<italic>n</italic> = 50). The concentration of Hg in animals from the Calabria region was as follows: in the liver, it ranged between &lt;LOQ and 1.33 mg kg<sup>&#x2212;1</sup> (<italic>n</italic> = 42); in the kidney, it varied in the range of &lt;LOQ&#x2013;5.10 mg kg<sup>&#x2212;1</sup> (<italic>n</italic> = 40); and in the muscle, it varied in the range of &lt;LOQ&#x2013;1.68 mg kg<sup>&#x2212;1</sup> (<italic>n</italic> = 42). With respect to Pb, in turtles from the Campania region, its concentrations in the liver varied in the range of &lt;LOQ&#x2013;0.950 mg kg<sup>&#x2212;1</sup> (<italic>n</italic> = 50), in the kidney between &lt;LOQ and 1.000 mg kg<sup>&#x2212;1</sup> (<italic>n</italic> = 40), and in the muscle varied in the range of &lt;LOQ&#x2013;0.544 mg kg<sup>&#x2212;1</sup> (<italic>n</italic> = 51). In the Calabria region, Pb in the liver ranged between &lt;LOQ and 1.13 mg kg<sup>&#x2212;1</sup> (<italic>n</italic> = 42), whereas those in the kidney ranged between &lt;LOQ and 6.77 mg kg<sup>&#x2212;1</sup> (<italic>n</italic> = 40), and those in the muscle varied from &lt;LOQ to 1.000 mg kg<sup>&#x2212;1</sup> (<italic>n</italic> = 42). Levels of Cd in turtles from the Campania region were as follows: in the liver, they ranged from &lt;LOQ to 13.50 mg kg<sup>&#x2212;1</sup> (<italic>n</italic> = 50); in the kidney, they ranged between 0.006 and 30.50 mg kg<sup>&#x2212;1</sup> (<italic>n</italic> = 40); and in the muscle, they ranged from &lt;LOQ to 0.61 mg kg<sup>&#x2212;1</sup> (<italic>n</italic> = 50). In turtles from the Calabria region, Cd showed concentrations in the liver ranging from 0.030 to 4.05 mg kg<sup>&#x2212;1</sup> (<italic>n</italic> = 42), in the kidney from 0.069 to 26.33 mg kg<sup>&#x2212;1</sup> (<italic>n</italic> = 40), and in the muscle from &lt;LOQ to 0.712 mg kg<sup>&#x2212;1</sup> (<italic>n</italic> = 42).</p>
</sec>
<sec id="s3_4">
<title>Correlation of toxic metals with age, gender, and stranding site</title>
<p>Values, including mean, range, and standard deviation, of As, Pb, Cd, and Hg with respect to gender and site of the collection are reported in <xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>. Of the 94 turtles analysed for metals, 40 were males, 47 were females, and seven were unknown. Especially in the liver and kidney, As was higher in Calabria than in Campania. Indeed, in the comparison between As (liver) and As (kidney) values of male turtles from Campania <italic>vs.</italic> Calabria, significant differences were found (<italic>p</italic> &lt; 0.05 and <italic>p</italic> &lt; 0.01, respectively). A similar trend was detected for As in liver and kidney in male turtles from Calabria <italic>vs.</italic> female turtles from the Campania region (<italic>p</italic> &lt; 0.05). The comparison between As (liver) values of the male from Campania <italic>vs.</italic> female turtles from the Calabria region was significant (<italic>p</italic> &lt; 0.05), as was the <italic>p</italic>-value of the comparison between As (liver) values of female turtles from Campania <italic>vs.</italic> female turtles from the Calabria region (<italic>p</italic> &lt; 0.05). Differences almost significant were also detected between Cd values in the liver of male <italic>vs.</italic> female turtles from Calabria (<italic>p</italic> = 0.06). The values, including mean, range, and standard deviation, of As, Pb, Cd, and Hg with respect to animals&#x2019; age are reported in <xref ref-type="table" rid="T7">
<bold>Table&#xa0;7</bold>
</xref>. Of the 52 turtles analysed from the Campania region, two were ej, 30&#xa0;lj, and 13 were A. Whereas of the 42 turtles from the Calabria region, five were ej and 12&#xa0;lj. Age-dependent bioaccumulation of Pb and As was observed in the liver and muscle. Indeed, significant differences were found in Campania region when Pb (liver) and As (muscle) values of turtles from the adult groups were compared <italic>vs.</italic> large juvenile groups (<italic>p</italic> &lt; 0.001 and <italic>p</italic> &lt; 0.05, respectively). The values of Pb in the muscle of adults from the Campania region were higher than those of early juveniles from the Calabria region (<italic>p</italic> &lt; 0.05). A <italic>p</italic>-value of the comparison between Pb (liver) levels of turtles from the Campania region adults <italic>vs.</italic> Calabria early juveniles and large juveniles was significant (<italic>p</italic> &lt; 0.01 and <italic>p</italic> &lt; 0.01, respectively). Moreover, a site-dependent accumulation of As was observed from the Calabria region. Indeed, the levels of As in the liver of large juvenile turtles from the Campania region were lower than in early juvenile and large juvenile turtles from Calabria (<italic>p</italic> &lt; 0.01 and <italic>p</italic> &lt; 0.01, respectively). Of 94 analysed animals for metals, 15 were positive for ChHV5, 12 (9 males + 3 females) from Campania, and three (2 males + 1 female) from the Calabria region.</p>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Range, mean, and standard deviation of As, Cd, Hg, and Pb (mg kg<sup>&#x2212;1</sup> wet weight) in the liver (L), kidney (K), and muscle (M) of the analysed turtles according to sex in male (M) or female (F) and site.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Site</th>
<th valign="top" align="center">Sex</th>
<th valign="top" align="center">Parameters</th>
<th valign="top" align="center">Pb (L)</th>
<th valign="top" align="center">Pb (K)</th>
<th valign="top" align="center">Pb (M)</th>
<th valign="top" align="center">Cd (L)</th>
<th valign="top" align="center">Cd (K)</th>
<th valign="top" align="center">Cd (M)</th>
<th valign="top" align="center">As (L)</th>
<th valign="top" align="center">As (K)</th>
<th valign="top" align="center">As (M)</th>
<th valign="top" align="center">Hg (L)</th>
<th valign="top" align="center">Hg (K)</th>
<th valign="top" align="center">Hg (M)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="8" align="center">
<bold>Campania</bold>
</td>
<td valign="top" rowspan="4" align="center">M</td>
<td valign="top" align="center">Mean</td>
<td valign="top" align="center">0.177</td>
<td valign="top" align="center">0.213</td>
<td valign="top" align="center">0.138</td>
<td valign="top" align="center">1.67</td>
<td valign="top" align="center">6.78</td>
<td valign="top" align="center">0.066</td>
<td valign="top" align="center">7.82<sup>*,****</sup>
</td>
<td valign="top" align="center">10.32<sup>*</sup>
</td>
<td valign="top" align="center">45.13</td>
<td valign="top" align="center">0.245</td>
<td valign="top" align="center">0.186</td>
<td valign="top" align="center">0.166</td>
</tr>
<tr>
<td valign="top" align="center">St. dev.</td>
<td valign="top" align="center">0.217</td>
<td valign="top" align="center">0.258</td>
<td valign="top" align="center">0.133</td>
<td valign="top" align="center">1.79</td>
<td valign="top" align="center">8.56</td>
<td valign="top" align="center">0.119</td>
<td valign="top" align="center">6.26</td>
<td valign="top" align="center">8.56</td>
<td valign="top" align="center">52.55</td>
<td valign="top" align="center">0.373</td>
<td valign="top" align="center">0.249</td>
<td valign="top" align="center">0.384</td>
</tr>
<tr>
<td valign="top" align="center">Min</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">0.006</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">2.64</td>
<td valign="top" align="center">2.92</td>
<td valign="top" align="center">4.63</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
</tr>
<tr>
<td valign="top" align="center">Max</td>
<td valign="top" align="center">0.950</td>
<td valign="top" align="center">1.000</td>
<td valign="top" align="center">0.458</td>
<td valign="top" align="center">8.47</td>
<td valign="top" align="center">30.50</td>
<td valign="top" align="center">0.597</td>
<td valign="top" align="center">18.53</td>
<td valign="top" align="center">30.29</td>
<td valign="top" align="center">154.50</td>
<td valign="top" align="center">1.61</td>
<td valign="top" align="center">0.930</td>
<td valign="top" align="center">1.74</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="center">F</td>
<td valign="top" align="center">Mean</td>
<td valign="top" align="center">0.139</td>
<td valign="top" align="center">0.197</td>
<td valign="top" align="center">0.103</td>
<td valign="top" align="center">1.65</td>
<td valign="top" align="center">5.88</td>
<td valign="top" align="center">0.046</td>
<td valign="top" align="center">5.06<sup>**,*****</sup>
</td>
<td valign="top" align="center">9.70<sup>*****</sup>
</td>
<td valign="top" align="center">24.42</td>
<td valign="top" align="center">0.157</td>
<td valign="top" align="center">0.077</td>
<td valign="top" align="center">0.044</td>
</tr>
<tr>
<td valign="top" align="center">St. dev.</td>
<td valign="top" align="center">0.197</td>
<td valign="top" align="center">0.215</td>
<td valign="top" align="center">0.123</td>
<td valign="top" align="center">3.01</td>
<td valign="top" align="center">4.87</td>
<td valign="top" align="center">0.051</td>
<td valign="top" align="center">4.96</td>
<td valign="top" align="center">9.53</td>
<td valign="top" align="center">16.42</td>
<td valign="top" align="center">0.197</td>
<td valign="top" align="center">0.065</td>
<td valign="top" align="center">0.051</td>
</tr>
<tr>
<td valign="top" align="center">Min</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">0.248</td>
<td valign="top" align="center">0.025</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">0.173</td>
<td valign="top" align="center">0.055</td>
<td valign="top" align="center">0.118</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
</tr>
<tr>
<td valign="top" align="center">Max</td>
<td valign="top" align="center">0.844</td>
<td valign="top" align="center">0.858</td>
<td valign="top" align="center">0.414</td>
<td valign="top" align="center">13.50</td>
<td valign="top" align="center">15.00</td>
<td valign="top" align="center">0.172</td>
<td valign="top" align="center">16.10</td>
<td valign="top" align="center">28.85</td>
<td valign="top" align="center">50.90</td>
<td valign="top" align="center">0.690</td>
<td valign="top" align="center">0.202</td>
<td valign="top" align="center">0.165</td>
</tr>
<tr>
<td valign="top" rowspan="8" align="center">
<bold>Calabria</bold>
</td>
<td valign="top" rowspan="4" align="center">M</td>
<td valign="top" align="center">Mean</td>
<td valign="top" align="center">0.181</td>
<td valign="top" align="center">0.215</td>
<td valign="top" align="center">0.148</td>
<td valign="top" align="center">1.83<sup>***</sup>
</td>
<td valign="top" align="center">6.30</td>
<td valign="top" align="center">0.041</td>
<td valign="top" align="center">16.60<sup>*</sup>,<sup>*****</sup>
</td>
<td valign="top" align="center">20.33<sup>*</sup>,<sup>*****</sup>
</td>
<td valign="top" align="center">40.30</td>
<td valign="top" align="center">0.307</td>
<td valign="top" align="center">0.535</td>
<td valign="top" align="center">0.183</td>
</tr>
<tr>
<td valign="top" align="center">St. dev.</td>
<td valign="top" align="center">0.301</td>
<td valign="top" align="center">0.362</td>
<td valign="top" align="center">0.267</td>
<td valign="top" align="center">1.05</td>
<td valign="top" align="center">4.61</td>
<td valign="top" align="center">0.027</td>
<td valign="top" align="center">13.68</td>
<td valign="top" align="center">9.36</td>
<td valign="top" align="center">38.72</td>
<td valign="top" align="center">0.336</td>
<td valign="top" align="center">1.44</td>
<td valign="top" align="center">0.452</td>
</tr>
<tr>
<td valign="top" align="center">Min</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">0.202</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">0.963</td>
<td valign="top" align="center">4.4</td>
<td valign="top" align="center">1.66</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
</tr>
<tr>
<td valign="top" align="center">Max</td>
<td valign="top" align="center">1.13</td>
<td valign="top" align="center">1.31</td>
<td valign="top" align="center">1.000</td>
<td valign="top" align="center">4.05</td>
<td valign="top" align="center">18.03</td>
<td valign="top" align="center">0.085</td>
<td valign="top" align="center">50.50</td>
<td valign="top" align="center">35.05</td>
<td valign="top" align="center">119.90</td>
<td valign="top" align="center">1.33</td>
<td valign="top" align="center">5.10</td>
<td valign="top" align="center">1.68</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="center">F</td>
<td valign="top" align="center">Mean</td>
<td valign="top" align="center">0.225</td>
<td valign="top" align="center">0.518</td>
<td valign="top" align="center">0.161</td>
<td valign="top" align="center">1.29<sup>***</sup>
</td>
<td valign="top" align="center">8.09</td>
<td valign="top" align="center">0.066</td>
<td valign="top" align="center">16.71<sup>**,****</sup>
</td>
<td valign="top" align="center">18.65</td>
<td valign="top" align="center">29.44</td>
<td valign="top" align="center">0.246</td>
<td valign="top" align="center">0.168</td>
<td valign="top" align="center">0.106</td>
</tr>
<tr>
<td valign="top" align="center">St. dev.</td>
<td valign="top" align="center">0.293</td>
<td valign="top" align="center">1.26</td>
<td valign="top" align="center">0.239</td>
<td valign="top" align="center">0.786</td>
<td valign="top" align="center">6.69</td>
<td valign="top" align="center">0.130</td>
<td valign="top" align="center">11.21</td>
<td valign="top" align="center">16.19</td>
<td valign="top" align="center">36.69</td>
<td valign="top" align="center">0.224</td>
<td valign="top" align="center">0.201</td>
<td valign="top" align="center">0.145</td>
</tr>
<tr>
<td valign="top" align="center">Min</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">0.030</td>
<td valign="top" align="center">0.069</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">2.59</td>
<td valign="top" align="center">1.38</td>
<td valign="top" align="center">2.33</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
</tr>
<tr>
<td valign="top" align="center">Max</td>
<td valign="top" align="center">1.04</td>
<td valign="top" align="center">6.77</td>
<td valign="top" align="center">0.972</td>
<td valign="top" align="center">3.76</td>
<td valign="top" align="center">26.33</td>
<td valign="top" align="center">0.712</td>
<td valign="top" align="center">42.46</td>
<td valign="top" align="center">72.95</td>
<td valign="top" align="center">120.40</td>
<td valign="top" align="center">1.05</td>
<td valign="top" align="center">1.05</td>
<td valign="top" align="center">0.620</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>*</sup>p-values of the comparison between the As (L) and As (K) values of the analysed male turtles from the Campania vs. Calabria regions: p &lt; 0.05 and p &lt; 0.01, respectively; <sup>**</sup>p-value of the comparison between the As (L) values of the analysed female turtles from the Campania vs. Calabria regions: p &lt; 0.01; <sup>***</sup>p-value of the comparison between the Cd (L) values of the analysed male vs. female turtles from the Calabria region: p = 0.06; <sup>****</sup>p-value of the comparison between the As (L) values of the analysed male turtles from the Campania region vs. female turtles from the Calabria region: p &lt; 0.05; <sup>*****</sup>p-value of the comparison between the As (L) and As (K) values of the analysed male turtles from the Calabria region vs. female turtles from the Campania region: p &lt; 0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T7" position="float">
<label>Table&#xa0;7</label>
<caption>
<p>Range, mean, and standard deviation of As, Cd, Hg, and Pb (mg kg<sup>&#x2212;1</sup> wet weight) in the liver (L), kidney (K), and muscle (M) of analysed turtles according to sampling region and age.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center">Parameters</th>
<th valign="top" align="center">Pb (L)</th>
<th valign="top" align="center">Pb (K)</th>
<th valign="top" align="center">Pb (M)</th>
<th valign="top" align="center">Cd (L)</th>
<th valign="top" align="center">Cd (K)</th>
<th valign="top" align="center">Cd (M)</th>
<th valign="top" align="center">As (L)</th>
<th valign="top" align="center">As (K)</th>
<th valign="top" align="center">As (M)</th>
<th valign="top" align="center">Hg (L)</th>
<th valign="top" align="center">Hg (K)</th>
<th valign="top" align="center">Hg (M)</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="14" align="left">Campania age/Samples</th>
</tr>
<tr>
<td valign="top" rowspan="4" align="center">
<bold>Early juveniles/2</bold>
</td>
<td valign="top" align="center">Mean</td>
<td valign="top" align="center">0.214</td>
<td valign="top" align="center">0.471</td>
<td valign="top" align="center">0.191</td>
<td valign="top" align="center">2.03</td>
<td valign="top" align="center">6.46</td>
<td valign="top" align="center">0.146</td>
<td valign="top" align="center">1.29</td>
<td valign="top" align="center">1.96</td>
<td valign="top" align="center">1.86</td>
<td valign="top" align="center">0.340</td>
<td valign="top" align="center">0.253</td>
<td valign="top" align="center">0.203</td>
</tr>
<tr>
<td valign="top" align="center">St. dev.</td>
<td valign="top" align="center">0.062</td>
<td valign="top" align="center">0.324</td>
<td valign="top" align="center">0.120</td>
<td valign="top" align="center">2.24</td>
<td valign="top" align="center">1.68</td>
<td valign="top" align="center">0.187</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.156</td>
<td valign="top" align="center">0.137</td>
<td valign="top" align="center">0.053</td>
</tr>
<tr>
<td valign="top" align="center">Min</td>
<td valign="top" align="center">0.170</td>
<td valign="top" align="center">0.242</td>
<td valign="top" align="center">0.106</td>
<td valign="top" align="center">0.441</td>
<td valign="top" align="center">5.27</td>
<td valign="top" align="center">0.014</td>
<td valign="top" align="center">1.29</td>
<td valign="top" align="center">1.96</td>
<td valign="top" align="center">1.86</td>
<td valign="top" align="center">0.230</td>
<td valign="top" align="center">0.156</td>
<td valign="top" align="center">0.165</td>
</tr>
<tr>
<td valign="top" align="center">Max</td>
<td valign="top" align="center">0.258</td>
<td valign="top" align="center">0.700</td>
<td valign="top" align="center">0.276</td>
<td valign="top" align="center">3.61</td>
<td valign="top" align="center">7.65</td>
<td valign="top" align="center">0.278</td>
<td valign="top" align="center">1.29</td>
<td valign="top" align="center">1.96</td>
<td valign="top" align="center">1.86</td>
<td valign="top" align="center">0.450</td>
<td valign="top" align="center">0.350</td>
<td valign="top" align="center">0.240</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="center">
<bold>Large juveniles/30</bold>
</td>
<td valign="top" align="center">Mean</td>
<td valign="top" align="center">0.143<sup>*</sup>
</td>
<td valign="top" align="center">0.199</td>
<td valign="top" align="center">0.113</td>
<td valign="top" align="center">1.77</td>
<td valign="top" align="center">5.41</td>
<td valign="top" align="center">0.073</td>
<td valign="top" align="center">6.24<sup>****</sup>
</td>
<td valign="top" align="center">9.58</td>
<td valign="top" align="center">28.54<sup>*</sup>
</td>
<td valign="top" align="center">0.154</td>
<td valign="top" align="center">0.109</td>
<td valign="top" align="center">0.052</td>
</tr>
<tr>
<td valign="top" align="center">St. dev.</td>
<td valign="top" align="center">0.203</td>
<td valign="top" align="center">0.264</td>
<td valign="top" align="center">0.134</td>
<td valign="top" align="center">2.52</td>
<td valign="top" align="center">5.77</td>
<td valign="top" align="center">0.113</td>
<td valign="top" align="center">5.25</td>
<td valign="top" align="center">8.14</td>
<td valign="top" align="center">23.05</td>
<td valign="top" align="center">0.224</td>
<td valign="top" align="center">0.189</td>
<td valign="top" align="center">0.111</td>
</tr>
<tr>
<td valign="top" align="center">Min</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">0.025</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">2.64</td>
<td valign="top" align="center">2.92</td>
<td valign="top" align="center">4.63</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
</tr>
<tr>
<td valign="top" align="center">Max</td>
<td valign="top" align="center">0.950</td>
<td valign="top" align="center">1.000</td>
<td valign="top" align="center">0.458</td>
<td valign="top" align="center">13.50</td>
<td valign="top" align="center">23.40</td>
<td valign="top" align="center">0.597</td>
<td valign="top" align="center">18.54</td>
<td valign="top" align="center">28.85</td>
<td valign="top" align="center">96.61</td>
<td valign="top" align="center">0.960</td>
<td valign="top" align="center">0.930</td>
<td valign="top" align="center">0.610</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="center">
<bold>Adults/13</bold>
</td>
<td valign="top" align="center">Mean</td>
<td valign="top" align="center">0.227<sup>*,**</sup>
</td>
<td valign="top" align="center">0.216</td>
<td valign="top" align="center">0.161<sup>***</sup>
</td>
<td valign="top" align="center">1.65</td>
<td valign="top" align="center">8.91</td>
<td valign="top" align="center">0.036</td>
<td valign="top" align="center">8.83</td>
<td valign="top" align="center">13.49</td>
<td valign="top" align="center">65.31<sup>*</sup>
</td>
<td valign="top" align="center">0.337</td>
<td valign="top" align="center">0.195</td>
<td valign="top" align="center">0.201</td>
</tr>
<tr>
<td valign="top" align="center">St. dev.</td>
<td valign="top" align="center">0.240</td>
<td valign="top" align="center">0.186</td>
<td valign="top" align="center">0.132</td>
<td valign="top" align="center">2.34</td>
<td valign="top" align="center">9.83</td>
<td valign="top" align="center">0.051</td>
<td valign="top" align="center">7.10</td>
<td valign="top" align="center">10.08</td>
<td valign="top" align="center">63.74</td>
<td valign="top" align="center">0.471</td>
<td valign="top" align="center">0.198</td>
<td valign="top" align="center">0.493</td>
</tr>
<tr>
<td valign="top" align="center">Min</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">0.006</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">11.00</td>
<td valign="top" align="center">9.70</td>
<td valign="top" align="center">14.70</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
</tr>
<tr>
<td valign="top" align="center">Max</td>
<td valign="top" align="center">0.844</td>
<td valign="top" align="center">0.604</td>
<td valign="top" align="center">0.414</td>
<td valign="top" align="center">8.47</td>
<td valign="top" align="center">30.50</td>
<td valign="top" align="center">0.185</td>
<td valign="top" align="center">18.53</td>
<td valign="top" align="center">30.29</td>
<td valign="top" align="center">154.50</td>
<td valign="top" align="center">1.61</td>
<td valign="top" align="center">0.540</td>
<td valign="top" align="center">1.74</td>
</tr>
<tr>
<th valign="top" colspan="14" align="left">Calabria age/Samples</th>
</tr>
<tr>
<td valign="top" rowspan="4" align="center">
<bold>Early juveniles/5</bold>
</td>
<td valign="top" align="center">Mean</td>
<td valign="top" align="center">0.022<sup>**</sup>
</td>
<td valign="top" align="center">0.014</td>
<td valign="top" align="center">0.012<sup>***</sup>
</td>
<td valign="top" align="center">1.82</td>
<td valign="top" align="center">2.48</td>
<td valign="top" align="center">0.065</td>
<td valign="top" align="center">20.69<sup>****</sup>
</td>
<td valign="top" align="center">18.03</td>
<td valign="top" align="center">21.89</td>
<td valign="top" align="center">0.373</td>
<td valign="top" align="center">0.084</td>
<td valign="top" align="center">0.101</td>
</tr>
<tr>
<td valign="top" align="center">St. dev.</td>
<td valign="top" align="center">0.019</td>
<td valign="top" align="center">0.008</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">1.11</td>
<td valign="top" align="center">1.97</td>
<td valign="top" align="center">0.029</td>
<td valign="top" align="center">13.59</td>
<td valign="top" align="center">7.08</td>
<td valign="top" align="center">8.91</td>
<td valign="top" align="center">0.157</td>
<td valign="top" align="center">0.048</td>
<td valign="top" align="center">0.068</td>
</tr>
<tr>
<td valign="top" align="center">Min</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">0.926</td>
<td valign="top" align="center">0.790</td>
<td valign="top" align="center">0.025</td>
<td valign="top" align="center">5.85</td>
<td valign="top" align="center">11.66</td>
<td valign="top" align="center">11.79</td>
<td valign="top" align="center">0.185</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">&lt;LOQ</td>
</tr>
<tr>
<td valign="top" align="center">Max</td>
<td valign="top" align="center">0.053</td>
<td valign="top" align="center">0.026</td>
<td valign="top" align="center">0.019</td>
<td valign="top" align="center">3.76</td>
<td valign="top" align="center">4.97</td>
<td valign="top" align="center">0.105</td>
<td valign="top" align="center">41.66</td>
<td valign="top" align="center">26.50</td>
<td valign="top" align="center">32.07</td>
<td valign="top" align="center">0.569</td>
<td valign="top" align="center">0.155</td>
<td valign="top" align="center">0.200</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="center">
<bold>Large juveniles/12</bold>
</td>
<td valign="top" align="center">Mean</td>
<td valign="top" align="center">0.079<sup>**</sup>
</td>
<td valign="top" align="center">0.162</td>
<td valign="top" align="center">0.060<sup>***</sup>
</td>
<td valign="top" align="center">1.57</td>
<td valign="top" align="center">5.93</td>
<td valign="top" align="center">0.102</td>
<td valign="top" align="center">17.31<sup>****</sup>
</td>
<td valign="top" align="center">18.54</td>
<td valign="top" align="center">39.55</td>
<td valign="top" align="center">0.329</td>
<td valign="top" align="center">0.216</td>
<td valign="top" align="center">0.161</td>
</tr>
<tr>
<td valign="top" align="center">St. dev.</td>
<td valign="top" align="center">0.131</td>
<td valign="top" align="center">0.297</td>
<td valign="top" align="center">0.098</td>
<td valign="top" align="center">1.01</td>
<td valign="top" align="center">4.88</td>
<td valign="top" align="center">0.193</td>
<td valign="top" align="center">9.85</td>
<td valign="top" align="center">11.06</td>
<td valign="top" align="center">40.39</td>
<td valign="top" align="center">0.263</td>
<td valign="top" align="center">0.287</td>
<td valign="top" align="center">0.209</td>
</tr>
<tr>
<td valign="top" align="center">Min</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">0.440</td>
<td valign="top" align="center">0.202</td>
<td valign="top" align="center">0.021</td>
<td valign="top" align="center">4.54</td>
<td valign="top" align="center">4.40</td>
<td valign="top" align="center">3.87</td>
<td valign="top" align="center">0.061</td>
<td valign="top" align="center">&lt;LOQ</td>
<td valign="top" align="center">&lt;LOQ</td>
</tr>
<tr>
<td valign="top" align="center">Max</td>
<td valign="top" align="center">0.470</td>
<td valign="top" align="center">1.08</td>
<td valign="top" align="center">0.340</td>
<td valign="top" align="center">4.05</td>
<td valign="top" align="center">16.90</td>
<td valign="top" align="center">0.712</td>
<td valign="top" align="center">42.46</td>
<td valign="top" align="center">39.81</td>
<td valign="top" align="center">119.90</td>
<td valign="top" align="center">1.05</td>
<td valign="top" align="center">1.05</td>
<td valign="top" align="center">0.620</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>*</sup>p-value of the comparison between the Pb (L) and As (M) values of the analysed turtles from the Campania region adults vs. large juveniles: p &lt; 0.001 and p &lt; 0.05, respectively; <sup>**</sup>p-value of the comparison between the P (L) values of the analysed turtles from the Campania region adults vs. Calabria early juveniles and large juveniles: p &lt; 0.01 and p &lt; 0.01, respectively; <sup>***</sup>p-value of the comparison between the Pb (M) values of the analysed turtles from the Campania region adults vs. Calabria early juveniles: p &lt; 0.05; <sup>****</sup>p-value of the comparison between the As (L) values of the analysed turtles from the Campania region large juveniles vs. Calabria early juveniles and large juveniles: p &lt; 0.01 and p &lt; 0.01, respectively.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The correlation between the accumulation of the contaminants and the size of the turtles was studied by performing Spearman&#x2019;s rank correlation. So, the contamination levels determined in the liver, kidney, and muscle were correlated with the BW, SCL, and SCW morphometric parameters of the turtles. The Spearman&#x2019;s rank test revealed a statistically significant positive correlation (<italic>p</italic> &lt; 0.01) between the levels of As found in the kidney of Campania turtles and their SCL, indicating that the accumulation of this metal is size-dependent (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>In the last few years, marine animal stranding has become frequent, and loggerhead sea turtles are involved in this phenomenon. Indeed, in our study, during the 6 years of observation, 195 sea turtles have been found dead along the coasts of the Campania and Calabria regions. Potential health risks for this species are mainly caused by increased anthropogenic pressure on the marine ecosystem (<xref ref-type="bibr" rid="B61">Monteiro et&#xa0;al., 2021</xref>), due to marine traffic, sea pollution, both macro- and microscopic, fishing activities (<xref ref-type="bibr" rid="B65">Pagano et&#xa0;al., 2019</xref>), and infectious diseases (<xref ref-type="bibr" rid="B61">Monteiro et&#xa0;al., 2021</xref>).</p>
<p>Results from our study have confirmed that anthropogenic factors are involved, to a different extent, in a large rate of turtle stranding/death, as already reported by other authors (<xref ref-type="bibr" rid="B21">Casale et&#xa0;al., 2010</xref>). Overall, our findings indicate that fishing activities are among the most important threats to sea turtles in our basin, in agreement with existing literature (<xref ref-type="bibr" rid="B84">Tomas et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B21">Casale et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B18">Caracappa et&#xa0;al., 2018</xref>). Necropsies have revealed that 117 sea turtles out of 195 (60%) suffered from anthropic impact. Indeed, we detected internal and/or external injuries caused by collision with boats, entanglement in fishing gears, and marine litter ingestion. Marine litter, a growing problem worldwide, impacts all marine organisms in different ways. Sea turtles usually ingest plastic debris and other litter, mistaking them for food (<xref ref-type="bibr" rid="B16">Campani et&#xa0;al., 2013</xref>). We found a high percentage (38.5%) of animals with objects in their digestive tract, similar to other studies (<xref ref-type="bibr" rid="B20">Casale et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B51">Lazar and Gra&#x10d;an, 2011</xref>), carried out on <italic>C. caretta</italic> in the Mediterranean Sea (37.9% and 48.1%, respectively), but lower than the rate reported by other authors (71.0% and 75.9%) in the same basin (respectively <xref ref-type="bibr" rid="B85">Tom&#xe1;s et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B16">Campani et&#xa0;al., 2013</xref>). Ingestion of plastic objects was found in 31/195 (15.9%) of the sea turtles analysed, but marine plastic ingestion has never been associated with direct mortality. However, it may cause sublethal effects, such as gastrointestinal lacerations, blockage, reduced feeding, and absorption of toxic compounds, as well as death from complete intestinal occlusion (<xref ref-type="bibr" rid="B47">K&#xfc;hn et al., 2015</xref>; <xref ref-type="bibr" rid="B58">Matiddi et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B75">Sala et&#xa0;al., 2021</xref>).</p>
<p>Observing the injuries and the internal/external lesions has helped to clearly address the specific cause of mortality in 53 animals. In the other 64 sea turtles, the death could be ascribed to a mix of anthropic effects. Of the remaining 54 animals, 24 have been excluded from this analysis because they were mummified, and 30 have not been visibly damaged by anthropic factors, but various hypotheses about mortality were developed; for example, a lethal infection can be difficult to diagnose or die from embolism and/or drowning due to prolonged apnoea caused by fishing by-catch (trawling), which may not leave any visible traces on stranded carcasses (<xref ref-type="bibr" rid="B21">Casale et&#xa0;al., 2010</xref>).</p>
<p>In this study, a complete absence of both internal and external fibropapillomas in the animals tested was observed. The analysis included a substantial number of turtles (195) and covered an extended period of observation (6 years). Thus, so far, the Mediterranean Sea seems not to be affected by FP, a neoplastic disease whose development is likely linked to the presence of ChHV5 (<xref ref-type="bibr" rid="B44">James et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B54">Loganathan et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B68">Perrault et&#xa0;al., 2021</xref>), as well as too polluted and eutrophicated habitats (<xref ref-type="bibr" rid="B27">Dujon et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B61">Monteiro et&#xa0;al., 2021</xref>). Our results were quite surprising, considering that this disease is panzootic in green turtles (<xref ref-type="bibr" rid="B88">Williams et&#xa0;al., 1994</xref>; <xref ref-type="bibr" rid="B46">Jones et&#xa0;al., 2016</xref>), has been described in marine turtles worldwide (<xref ref-type="bibr" rid="B5">Alfaro-Nunez et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B29">Espinoza et&#xa0;al., 2020</xref>), and appears to be increasing in some parts of the world (<xref ref-type="bibr" rid="B54">Loganathan et&#xa0;al., 2021</xref>). It has been established that FP prevalence is related to marine pollution (<xref ref-type="bibr" rid="B54">Loganathan et&#xa0;al., 2021</xref>). In this regard, the Mediterranean Sea, a semi-closed sea mainly surrounded by industrialised countries, is considered a contaminated ecosystem (<xref ref-type="bibr" rid="B37">Gomez-Ramirez et&#xa0;al., 2020</xref>). Hence, the complete absence of FP in turtles from the Mediterranean Basin seems to indicate that other factors than pollution are involved in FP formation.</p>
<p>For the first time, according to our knowledge, the presence of ChHV5 was detected in 21 specimens of <italic>C. caretta</italic> living in the Mediterranean Sea. The detection of the virus without FP association did not surprise us since the occurrence of this alphaherpesvirus in sea turtles without tumours is well documented (<xref ref-type="bibr" rid="B5">Alfaro-Nunez et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B4">Alfaro-Nunez et&#xa0;al., 2016</xref>). The prevalence of ChHV5 observed in this study (10.8%) agrees with previous researchers who reported a percentage of viral positivity of 11.5% in healthy turtles belonging to the same species (<xref ref-type="bibr" rid="B5">Alfaro-Nunez et&#xa0;al., 2014</xref>). Furthermore, in 19 of the 21 positive <italic>C. caretta</italic>, beyond FP, the presence of the virus could not be associated with any specific pathological condition of the animal.</p>
<p>As already supposed by other authors (<xref ref-type="bibr" rid="B66">Page-Karjian et&#xa0;al., 2017</xref>), our results suggest the presence of persistent subclinical and latent infection due to ChHV5 in apparently healthy sea turtles. Indeed, the virus is characterised by the common feature of establishing long latency to escape immune system detection, in line with other herpesviruses (<xref ref-type="bibr" rid="B4">Alfaro-Nunez et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B63">Ori&#xe1; et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B61">Monteiro et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B72">Piret and Boivin, 2021</xref>; <xref ref-type="bibr" rid="B32">Esposito et&#xa0;al., 2022a</xref>). The presence of ChHV5 in all the organs analysed (heart, kidney, brain, spleen, liver) agrees with data reported by other authors (<xref ref-type="bibr" rid="B66">Page-Karjian et&#xa0;al., 2017</xref>), who have identified the virus in kidney, heart, and nerve from green turtles not affected by FP. In addition, the simultaneous identification of the virus in multiple anatomical sites of some turtles may be due to the capacity of alphaherpesviruses to infect a wide variety of host cell types (<xref ref-type="bibr" rid="B66">Page-Karjian et&#xa0;al., 2017</xref>). According to age, the rates of ChHV5 positivity in the large juvenile (12.5%) and adult (9.5%) groups were similar, while a lower prevalence was revealed in the early juvenile group (4.2%). These results could be explained by the age-dependent difference in habits of sea turtles, as they spend the first period of life in the open seas, while in their juvenile or adult phase, they live in coastal areas, not deep waters (<xref ref-type="bibr" rid="B65">Pagano et&#xa0;al., 2019</xref>), and are probably more exposed to viral contamination.</p>
<p>In chelonians (turtles and tortoises), herpetic infections have been related to different pathological states, including proliferative and ulcerative stomatitis, respiratory infections, dermatitis, conjunctivitis, hepatitis, and dermatitis (<xref ref-type="bibr" rid="B43">Jacobson et&#xa0;al., 1986</xref>; <xref ref-type="bibr" rid="B69">Pettan-Brewer et&#xa0;al., 1996</xref>; <xref ref-type="bibr" rid="B40">Hervas et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B45">Johnson et&#xa0;al., 2005</xref>). In <italic>C. caretta</italic>, herpesviruses have been associated not only with FP but also with oral, respiratory, cutaneous, and genital lesions (<xref ref-type="bibr" rid="B78">Stacy et&#xa0;al., 2008</xref>). Interestingly, our results showed in two animals real-time PCR positivity for ChHV5 (in the lungs), a clinical frame of bronchopneumonia observable both macroscopically and histologically (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6</bold>
</xref>, <xref ref-type="fig" rid="f7">
<bold>7</bold>
</xref>). Our histopathological findings are consistent with studies describing, in chelonians, herpesvirus infections associated with heterophilic bronchitis and pneumonia, with the presence of heterophilic inflammation and sloughed epithelial cells in the airways (<xref ref-type="bibr" rid="B64">Origgi et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B78">Stacy et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B57">Marschang et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B56">Marenzoni et&#xa0;al., 2018</xref>). Indeed, to date, ChHV5 has been associated, apart from FP, only with ocular pathological manifestations (<xref ref-type="bibr" rid="B63">Ori&#xe1; et&#xa0;al., 2020</xref>), while its involvement in respiratory disorders has never been reported in the literature. Similarly, heterophilic inflammation in the lung could be due to any insult, and it is not pathognomonic for ChHV5. Nevertheless, even though no other pathogen associable with respiratory disease has been found in the lungs of these two specimens of <italic>C. caretta</italic>, the hypothetical implication of ChHV5 in bronchopneumonia does not fulfil all the criteria necessary to claim a causal relationship between a pathogen and a disease (<xref ref-type="bibr" rid="B35">Fredricks and Relman, 1996</xref>).</p>
<p>An important aspect of this research is the analysis of the levels of trace metals in various organs of the turtles. Climate changes and the consequent geochemical differences considerably affect the quality, temperatures, and biochemical parameters of seawater in Southern Europe Seas (<ext-link ext-link-type="uri" xlink:href="https://ec.europa.eu/clima/climate-change">https://ec.europa.eu/clima/climate-change</ext-link>; <xref ref-type="bibr" rid="B60">Mitchell et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B42">Iordache et&#xa0;al., 2022</xref>). The large-scale (6 years; 94 animals) survey provides a very clear overall picture of the current situation regarding trace element levels in loggerhead turtles from Southern Italy&#x2019;s coasts. Thus, it makes it easier to evaluate accumulated concentrations as well as to compare the levels of time revealed among different surveys in these areas. Overall, a relevant time-dependent accumulation increase of As levels was detected in liver and muscle tissues (<xref ref-type="bibr" rid="B80">Storelli and Marcotrigiano, 2000</xref>; <xref ref-type="bibr" rid="B31">Esposito et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B17">Canzanella et&#xa0;al., 2021</xref>). In particular, the concentrations of As in the muscle were higher than in the kidney and liver. Metalloid levels, such as As, in the liver tend to decrease more than in other tissues, because of a detoxification process that occurs in the liver before going into other tissues (kidney and muscle) (<xref ref-type="bibr" rid="B26">da Silva et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B82">Sulato et&#xa0;al., 2022</xref>), as detected in the liver of <italic>C. mydas</italic> (<xref ref-type="bibr" rid="B82">Sulato et&#xa0;al., 2022</xref>). The levels of Hg, which are similar to Cd, appeared similar to or lower than those detected in other studies (<xref ref-type="bibr" rid="B55">Maffucci et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B81">Storelli et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B31">Esposito et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B37">Gomez-Ramirez et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B17">Canzanella et&#xa0;al., 2021</xref>) and were instead higher in the liver and kidney than in the muscle. Whereas the highest levels of Pb and Cd were found in the kidney, followed by the liver and muscle. A similar pattern of bioaccumulation was previously found in turtles stranded along the southwestern coasts of the Tyrrhenian Sea (<xref ref-type="bibr" rid="B31">Esposito et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B17">Canzanella et&#xa0;al., 2021</xref>). These findings suggest that the accumulation of each metal is tissue-dependent. Interestingly, the levels of As in the liver and kidney of turtles from Calabria were considerably higher than those from the Campania region. Herein, the values of As in loggerhead turtles were highest in the muscle, followed by the kidney and liver. This trend, probably due to their feeding habit rich in molluscs (generally containing high levels of this metalloid), was already described by us (<xref ref-type="bibr" rid="B31">Esposito et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B17">Canzanella et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B48">Lambiase et&#xa0;al., 2021b</xref>). It is well known indeed that the main route of turtles&#x2019; exposure to marine environment contaminants occurs through food, consequently, the levels of metals found in the organs depend on the specific dietary habits of the loggerhead turtles, which is directly correlated to the levels of contamination of the marine environment (<xref ref-type="bibr" rid="B31">Esposito et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B17">Canzanella et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B49">Lambiase et&#xa0;al., 2021a</xref>). In this regard, about one-fifth of the foraging areas in the Mediterranean resulted contaminated; therefore, they represent a potential risk of exposure for turtles (<xref ref-type="bibr" rid="B6">Almpanidou et&#xa0;al., 2022</xref>). Although a lowering in Pb levels was observed in our samples, likely due to reduced use of lead in gasoline in European Countries since early 1980 (<ext-link ext-link-type="uri" xlink:href="https://www.eea.europa.eu">https://www.eea.europa.eu</ext-link>), regrettably, climate warming affects both saltwater and freshwater, provoking metal toxic level perturbation (<xref ref-type="bibr" rid="B53">LeMonte et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B42">Iordache et&#xa0;al., 2022</xref>). The concentration of As in the Calabria region is affected by multiple hydrogeochemical processes, which determine variable levels in groundwater (<xref ref-type="bibr" rid="B7">Apollaro et&#xa0;al., 2022</xref>). In addition, sea level rise also induces arsenic release from contaminated coastal soils (<xref ref-type="bibr" rid="B53">LeMonte et&#xa0;al., 2017</xref>). Another plausible explanation for such high levels of As contamination in the loggerheads of the Calabria coast may be connected with harbours, ship traffic, and the oil and gas industry. Indeed, other studies have pointed out that high levels of As are closely related to industrial contamination, including the oil and gas industry in the case of the green sea turtles found stranded in Southeastern Brazil (<xref ref-type="bibr" rid="B11">Bruno et&#xa0;al., 2021</xref>). Important information, which could explain the higher contamination of turtles from Calabria than the animals from Campania, is described by <xref ref-type="bibr" rid="B36">Garofalo et&#xa0;al. (2013)</xref> in a study on the genetic characterisation of central Mediterranean stocks of the loggerhead turtles using mitochondrial and nuclear markers. <xref ref-type="bibr" rid="B36">Garofalo et&#xa0;al. (2013)</xref>, using MSA analysis, found out that the Calabrian colony represented the only considerable contribution to the Tyrrhenian stock. Furthermore, it has been reported that loggerhead turtles are able to be active even in colder waters, and this could increase their exposure to environmental contaminants (<xref ref-type="bibr" rid="B36">Garofalo et&#xa0;al., 2013</xref>). Overall, higher concentrations of As were detected in the liver and kidney of turtles from Calabria. Moreover, in turtles from the Calabria region, males had almost significantly higher Cd levels in the liver than females. Probably, this variation could be explained by metabolic differences between males and females (<xref ref-type="bibr" rid="B55">Maffucci et&#xa0;al., 2005</xref>) and by their feeding habits. No significant differences between the sexes (<italic>p</italic> &gt; 0.05) were found for Pb and Hg. Age-dependent bioaccumulation of Pb and As was detected in the liver and muscle, respectively. Indeed, an adult group from the Campania region showed Pb (L) and As (M) values significantly higher than the large juvenile group. Moreover, Pb in the muscle of adults from the Campania region was remarkably higher than those of early juvenile turtles from the Calabria region. The levels of Pb (L) in adults from the Campania region were significantly higher than those in early juvenile and large juvenile groups from Calabria. Moreover, a significant site-dependent accumulation of As was detected in the liver of both early juvenile and large juvenile turtles from the Calabria region <italic>vs</italic>. large juvenile turtles from Campania. This difference may be explained as reported above. The phenomenon of age-dependent bioaccumulation, as well as the size, may explain these differences (<xref ref-type="bibr" rid="B2">Adel et&#xa0;al., 2017</xref>). The relationship between the accumulation of the contaminants and the size of the turtles was studied by performing statistical tests such as Spearman&#x2019;s rank correlation. For the statistical study, the contamination levels determined in the liver, kidney, and muscle were correlated with the BW, SCL, and SCW morphometric parameters of the turtles. The Spearman&#x2019;s rank test showed a statistically significant positive correlation (<italic>p</italic> &lt; 0.01) between the levels of As found in the kidneys of Campania turtles and their SCL, indicating that the accumulation of this metal is size-dependent (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>). The increase in metal concentrations with size was also shown by a linear regression model (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1</bold>
</xref>), in accordance with the results reported in other studies on the bioaccumulation of environmental contaminants in turtles (<xref ref-type="bibr" rid="B52">Lazar et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B49">Lambiase et&#xa0;al., 2021a</xref>). Considering that the size of the turtles can be related to their age, it is possible to assume that the older turtles had a higher body burden of metals due to longer exposure to contaminants (<xref ref-type="bibr" rid="B49">Lambiase et&#xa0;al., 2021a</xref>). The increase in the metal accumulation with size could also be explained by considering the feeding behaviour of the turtles, which depends on their developmental stage. In fact, during the oceanic stage (CCL &lt; 40&#xa0;cm), turtle feeding consists mostly of planktonic organisms, while in the neritic stage (CCL &gt; 40&#xa0;cm), their diet becomes mainly constituted by benthic organisms (<xref ref-type="bibr" rid="B52">Lazar et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B62">Nicolau et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B49">Lambiase et&#xa0;al., 2021a</xref>). Genetic characterisation of Mediterranean loggerhead turtles <italic>C. caretta</italic> indicates that the distribution of juveniles from different rookeries may not be homogeneous among the major Mediterranean foraging grounds because of a complex pattern of surface currents in the Mediterranean (<xref ref-type="bibr" rid="B25">Clusa et al., 2014</xref>; <xref ref-type="bibr" rid="B36">Garofalo et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B19">Caracappa et&#xa0;al., 2016</xref>). These findings might have possible implications for the burden of contaminants found in this population, indicating a special concern. For example, abnormalities in the number of scutes have already been found by <xref ref-type="bibr" rid="B19">Caracappa et&#xa0;al. (2016)</xref> through an epigenetic mechanism probably caused by the environmental context during embryonic growth. Despite the data reported in the literature as well as the results shown herein on the bioaccumulation of the metals in the turtles from the Campania region, which highlight the correlation between the contamination levels found in the animal tissues and their size, the statistical analysis did not show any significant correlation between the As, Pb, Cd, and Hg concentrations in the turtles from the Calabria region and their morphometric parameters (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S2</bold>
</xref>). Moreover, the statistical analysis showed strong positive correlations (<italic>p</italic> &lt; 0.001) between the Pb, As, and Hg levels found in the tissues of the turtles from both regions, indicating that there is a strong correlation between the bioaccumulation of contaminants in the different organs, despite the fact that it is tissue-dependent (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>).</p>
<p>In the frame of anthropogenic threats, it is important to consider that other environmental contaminants, such as organic pollutants including polychlorinated dibenzo-<italic>p</italic>-dioxins (PCDDs), polychlorinated dibenzofurans (PCDFs), and poly-chlorinated biphenyls (PCBs), may also cause harmful effects in turtles (<xref ref-type="bibr" rid="B48">Lambiase et al., 2021b</xref>; <xref ref-type="bibr" rid="B32">Esposito et al., 2022b</xref>). Some chemicals may reduce the immune function of marine animals and increase susceptibility to microbes (<xref ref-type="bibr" rid="B33">Fiorito et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B34">Fiorito et&#xa0;al., 2021</xref>). Particularly, a recent study using nontargeted proteomics has revealed altered immune responses in geographically distinct populations of green sea turtles (<italic>Chelonia mydas</italic>) from the Queensland coast (<xref ref-type="bibr" rid="B23">Chaousis et&#xa0;al., 2023</xref>). Here, to establish a relationship between viruses and chemicals, we have examined this hypothetical correlation. Nevertheless, the statistical analysis did not show significant correlations between the presence of the virus and the metal concentrations. The lack of relationships among chemical and viral parameters was probably due to the too-small number of virus-positive tissues, which did not allow us to perform an accurate statistical analysis.</p>
<p>In conclusion, this study provided valuable information on various aspects related to loggerhead sea turtles living in the Mediterranean Sea, with a focus on the factors involved in the endangerment of the species. We identified for the first time the presence of chelonid herpesvirus 5 in <italic>C. caretta</italic> living in this ecosystem. We found relatively high levels of lead, mercury, arsenic, and cadmium in the organs of the sea turtles investigated, even though no correlation was found with animal health status, including viral infection. One-fifth of the sea turtles analysed presented injuries caused by collision with boats or caused by entanglement in nets and lines, and more than one-half of these injuries were probably fatal. In some cases, ingested debris such as plastic, filament line, and fishhooks were involved in the animals&#x2019; death. For some of the investigated turtles, the cause of death remained unknown and was considered probably due to a mix of not-determined factors. Moreover, in the last few years, maybe due to climate warming allowing the turtles to find new habitats previously too cold for embryos incubation, a notable increase in nesting activity of loggerhead turtles has been detected in the Western Mediterranean (<xref ref-type="bibr" rid="B41">Hochscheid et&#xa0;al., 2022</xref>). In 2021, from the Italian coasts, 244 nests were reported. Specifically, both Campania and Calabria coasts (53 and 77 nesting sites, respectively) have been chosen for turtle spawning (<xref ref-type="bibr" rid="B70">Pietroluongo et&#xa0;al., 2023</xref>). However, these beaches are characterised by a high flow of tourism that may threaten eggs and hatchlings, as well as the development of new rookeries. Hence, further studies are needed to monitor and identify risk parameters that might involve <italic>C. caretta</italic>, with the aim of implementing conservation measures to protect the species from extinction.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>Ethical review and approval was not required for this study as our investigation was performed on stranded/dead turtles. Consequently, no ethical declarations were requested.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>FF, ME, SL, and MA delineated the study. FS, DI, FF, FN, ME, SL, GF, and MA collected the data. FS, DI, FF, FN, ME, EE, CC, SL, BU, GL, and MA processed and analysed the data. FS, DI, FF, FN, ME, SL, BU, GL, EC, GF, and MA contributed resources and wrote the manuscript. All authors have read and agreed to the published version of the manuscript.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This work was partially funded by the Italian Ministry of Health, Project IZSME RC 07/22.</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<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 id="s10" sec-type="disclaimer">
<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 id="s11" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmars.2023.1116804/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2023.1116804/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table_1.docx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table_2.docx" id="SM3" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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