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<?covid-19-tdm?>
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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2023.1210961</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Proinflammatory role of monocytes in SARS-CoV-2 infection in chronic hemodialysis patients</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Bumbea</surname><given-names>Viorica</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ardelean</surname><given-names>Luminita</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Radulescu</surname><given-names>Luminita</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Damian</surname><given-names>Luminita</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Bumbea</surname><given-names>Horia</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/977509"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Dumitru</surname><given-names>Ion</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lambert</surname><given-names>Claude</given-names>
</name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/41344"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vladareanu</surname><given-names>Ana-Maria</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
</contrib-group>    <aff id="aff1"><sup>1</sup><institution>Department of Dialysis, Emergency Clinical Hospital Bucharest</institution>, <addr-line>Bucharest</addr-line>, <country>Romania</country></aff>    <aff id="aff2"><sup>2</sup><institution>Department of Nephrology, Emergency University Hospital Bucharest</institution>, <addr-line>Bucharest</addr-line>, <country>Romania</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department Hematology, Emergency University Hospital Bucharest</institution>, <addr-line>Bucharest</addr-line>, <country>Romania</country></aff>    <aff id="aff4"><sup>4</sup><institution>University of Medicine and Pharmacy Carol Davila Bucharest</institution>, <addr-line>Bucharest</addr-line>, <country>Romania</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department Immunology, Centre Hospitalier Universitaire (CHU) de Saint Etienne</institution>, <addr-line>Saint Etienne</addr-line>, <country>France</country></aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Stefania Varchetta, San Matteo Hospital Foundation (IRCCS), Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Shetty Ravi Dyavar, Adicet Bio, Inc., United States; Giorgia Moschetti, University of Milan, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Horia Bumbea, <email xlink:href="mailto:horiabum@gmail.com">horiabum@gmail.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>03</day>
<month>08</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1210961</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>04</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>06</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Bumbea, Ardelean, Radulescu, Damian, Bumbea, Dumitru, Lambert and Vladareanu</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Bumbea, Ardelean, Radulescu, Damian, Bumbea, Dumitru, Lambert and Vladareanu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Fully mature monocytes that express CD14, but not CD16, undergo phagocytosis within tissues, whereas non-classical monocytes, CD14-low CD16+, represent &lt;11% of peripheral monocytes and have primary pro-inflammatory functions. Inflammation plays a major role in Covid-19 disease and adds to the inflammation caused by chronic hemodialysis. The aim of our study was to monitor monocyte subsets in five patients with end-stage kidney disease (ESKD) over a 1-year period after a mild Covid-19 infection. Five ESKD patients with a mild Covid-19 infection were monitored using CD14, CD16, CD300e, HLA-DR, CD64, and CD45 panels using a BD FACS Canto flow cytometer.</p>
</sec>
<sec>
<title>Results</title>
<p>CD14-low CD16+ was dramatically (p=0,001) decreased in patients during Covid-19 infection, as previously described for patients without chronic renal failure. In addition, CD14-low CD16+ monocytes remained decreased for 10 months after recovery from Covid. Intermediate monocytes increased during Covid-19 infection and decreased 10 months after infection but this subtype of monocytes retained their inflammatory activity with a significant increase in HLA-DR expression after recovery from Covid infection.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Our study shows that ESKD patients had a pro-inflammatory profile induced by Covid 19, but this status was prolonged significantly over a 10-month period. Thus, advanced renal failure treated by hemodialysis did not dramatically change the inflammatory response against to SARS Covid 2. It seems that monocytes retain their inflammatory status for many months in ESKD patients after a Covid-19 infection.</p>
</sec>
</abstract>
<kwd-group>
<kwd>end-stage kidney disease (ESKD)</kwd>
<kwd>chronic hemodialysis patients</kwd>
<kwd>HLA-DR</kwd>
<kwd>nonclassical monocytes</kwd>
<kwd>CD300E</kwd>
<kwd>intermediate monocytes</kwd>
</kwd-group>
<counts>
<fig-count count="8"/>
<table-count count="7"/>
<equation-count count="0"/>
<ref-count count="49"/>
<page-count count="12"/>
<word-count count="6504"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Systems Immunology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Specific subsets of hematopoietic cells (described in the literature) have different functions in the immune response against various infections that involve an inflammatory response, and also have various consequences on other pathologies, such as cardiovascular diseases (<xref ref-type="bibr" rid="B1">1</xref>). The body&#x2019;s defense against environmental factors is assured by physical barriers (skin, mucosa, etc.), by innate immunity (phagocytic cells like monocytes and macrophages, natural killer cells, complement) and adaptive immunity (B and T cells) (<xref ref-type="bibr" rid="B2">2</xref>). The effectiveness of the immunity is assured both by cells specialized in the defense of the body and soluble substances involved in inflammation (<xref ref-type="bibr" rid="B3">3</xref>). The role of the immune system is, on one hand, to detect and destroy germs, cancer cells, but also to repair tissues affected by injuries, infections, ischemia, toxins or autoimmunity (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>Monocytes play a major role in acute (as observed in Covid-19) and chronic diseases (as observed in metabolic diseases associated with cardiovascular damage) (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Monocytes play a major role in acute (as observed in Covid-19) and chronic diseases (as observed in metabolic diseases associated with cardiovascular damage) (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). In the case of a microbial stimul like viral, bacterial, protozoal or fungal pathogens the inflammatory monocytes react by secretion of cytokines and antimicrobial factors, migration to the site of microbial infection, expression of CCR2 chemokine receptor (<xref ref-type="bibr" rid="B6">6</xref>). It is how monocytes fight against Listeria monocytogenes, Mycobacterium tuberculosis, Toxoplasma gondii, Cryptococcus neoformans infection. Also inflammatory monocytes play a signifiant role in initiating and coordinating immune responses against viral infections such as influenza virus, respiratory syncytial virus or hantavirus infection (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>)</p>
<p>During inflammation, monocytes can recognize and kill different pathogens. These antigen-presenting cells operate through HLA receptors and can also produce cytokines that amplify the immune response. This forms one path within the development of systemic inflammatory response syndrome (SIRS), a proinflammatory syndrome that operates to destroy pathogens. However, compensatory anti-inflammatory response syndrome (CARS) is a protective system that restores the organism&#x2019;s homeostasis. It can exist separately from SIRS and can reverse inflammation. CARS induces a decrease in cytokine production and a decrease in HLA-DR receptors on monocytes (<xref ref-type="bibr" rid="B9">9</xref>).HLA-DR is part of the major histocompatibility complex (MHC) class II. This marker is common in the membrane of antigen-presenting cells, dendritic cells, macrophages, B lymphocytes, and activated T lymphocytes (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>A decrease in the expression of the antigen-presenting molecules (human leukocyte antigen- HLA-DR) from monocyte membranes creates a protective response against inflammation. This decrease occurs immediately after strong activation of the immune system. If this decrease is severe, the response leads to immunodepression but also, secondarily, to elevated morbidity and mortality. A decrease in HLA-DR is an indicator for the presence of CARS. If the decrease persists below 60%, the immune response is termed immunodepression; if the decrease is below 30%, it is termed immuno-paralysis. If HLA-DR rapidly returns to &gt;75% during injury, this is a marker for a good recovery (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>Monocytes have typical immuno-phenotypic characteristics. These surface markers have been classified in the CD nomenclature system (approximately 250 different protein structures). A CD structure can act as a receptor or as a receptor activation site, their activation launching a waterfall of reactions belonging to the immune system. Some CD structures have a role in the cellular adhesion. There are surface CD markers specific to a certain cell, or that appear during a certain phase of its development, so that cells can be differentiated both as type and activity level or evolutive stage (<xref ref-type="bibr" rid="B12">12</xref>)</p>
<p>Various surface markers have been identified by flow cytometry: CD13, CD33, CD11b-CD18, CD4, CD64, and HLA-DR (<xref ref-type="bibr" rid="B13">13</xref>). Monocytes can express at any stage of maturation of CD4, CD33, and CD64. Immature monocytes express HLA-DR surface markers, but CD13 and CD14 are not expressed until the monocyte matures. In the activated mature monocyte, an increase of HLA-DR expression is also found (<xref ref-type="bibr" rid="B13">13</xref>). Antigen HLA-DR surface expression of monocytes reflects the activation state of these cells. If HLA-DR decreases during chronic stimulation, this can be an indicator of immunosuppression (<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>Monocytes can have pro- or anti-inflammatory activity, and this activity is reflected through the expression of surface HLA-DR. A decrease in HLA-DR is an immunosuppression marker and can be induced by sepsis. Conversely, a strong stimulation of monocytes and an increase in HLA-DR expression can occur in cytokine-release syndrome (<xref ref-type="bibr" rid="B15">15</xref>). A decrease in HLA-DR is commonly associated with a decrease in the number of non-classical monocytes (proinflammatory monocytes) (<xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>The monocyte CD14+, associated with a decrease in the expression of human leukocyte antigen class II (HLA-DR), is a marker for immunodeficiency in some conditions, such as: trauma, major surgery, burns, sepsis, pancreatitis. This decrease is correlated with a poor outcome and/or mortality (<xref ref-type="bibr" rid="B16">16</xref>). However, if there is a decrease in the CD16+ monocyte HLA-DR during sepsis, this decrease seems to be transitory and less severe (<xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>CD300 surface receptors modulate the immune-activation pathways involved in viral infections and sepsis, and release proinflammatory cytokines. The CD300 receptor family includes both activating and inhibitory receptors that develop the immune response. The receptors CD300: i.e., a, b, c, d, e, f, h, are type I transmembrane proteins found in lymphoid and myeloid cells. CD300a and CD300f isoforms are inhibitory receptors, whereas CD300b, CD300c, CD300d, CD300e, and CD300h are activating receptors (<xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>CD300e appears on monocyte membranes, especially on CD14+ cells and on circulating myeloid dendritic cells (<xref ref-type="bibr" rid="B18">18</xref>). Activation of CD300e induces Ca<sup>2+</sup> mobilization, a release of reactive oxygen species, and a release of cytokines. It plays a role in monocyte survival and also contributes to the activation of T cells (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B19">19</xref>). CD300e, considered a receptor responsible for activating immunity, can be used to evaluate the number of activated monocytes (<xref ref-type="bibr" rid="B19">19</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>).</p>
<p>Three subtypes of monocytes that use expression levels of CD14 and CD16 on the surface membrane have been described (<xref ref-type="bibr" rid="B22">22</xref>):</p>
<p>1. Classical monocytes, CD14+ and CD16-, represent approximately 80&#x2013;85% of total monocytes. They are involved in migration to the site of inflammation, transformation into macrophages, and phagocytosis (<xref ref-type="bibr" rid="B23">23</xref>). They play an essential role in immune mechanisms for defense against microbial pathogens (<xref ref-type="bibr" rid="B4">4</xref>). This subset also has a pro-inflammatory role in chronic diseases like atherosclerosis, cancer, and rheumatoid arthritis (<xref ref-type="bibr" rid="B24">24</xref>&#x2013;<xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>2. A subset of &#x201c;non-classical&#x201d; monocytes express low levels of CD14 and strong levels of CD16. They represent 2-11% of peripheral monocytes (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>CD14-low CD16+ monocytes play a role in inflammation and antigen presentation (<xref ref-type="bibr" rid="B23">23</xref>). They are also involved in the formation of granulation tissue and in the detection of virally infected cells. This subset is also involved in the removal of dying cells, and of viruses and tumor cells from the circulation (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B29">29</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>)). The number of non-classical monocytes play a role in metabolic syndrome and are positively correlated with total cholesterol, LDL cholesterol and triglycerides, and negatively with HDL cholesterol (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>3. Intermediate monocytes CD14+ and CD16+, which represent 2-8% of monocytes, have a dual role in inflammation and phagocytosis (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B28">28</xref>). This subtype of monocyte occurs in large numbers in inflammatory diseases, reaching up to 50% in cases of sepsis in some studies (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). A high number of intermediate monocytes occur in the presence of inflammation and cytokines (<xref ref-type="bibr" rid="B34">34</xref>&#x2013;<xref ref-type="bibr" rid="B36">36</xref>) and can be considered an independent predictive marker for a cardiovascular event (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>In some reports, both intermediate and non-classical (CD16+) monocytes can play a significant role in atherosclerosis processes and have been correlated with atherosclerotic plaque in patients with angina pectoris (especially patients with ESKD) (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B37">37</xref>). The importance of monocyte subtypes in septic and inflammatory diseases has been demonstrated in patients with systemic lupus erythematous and in sepsis: this helps confirm the hypothesis that CD16+ subtypes of monocytes are involved mainly in inflammation, as based on the high percentage found in inflammatory diseases (<xref ref-type="bibr" rid="B38">38</xref>).</p>
<p>Inflammation is an important risk factor for cardiovascular disease which is the most important cause of mortality in dialyzed patients.</p>
<p>The number of monocytes has been correlated with endothelial damage (<xref ref-type="bibr" rid="B24">24</xref>). CD16+ monocytes are elevated in chronic hemodialyzed patients and intermediate monocytes may be a predictor of their cardiovascular morbidity (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>ESKD, together with cardiovascular disease and diabetes, have been considered as comorbidities for severe Covid-19 disease (<xref ref-type="bibr" rid="B39">39</xref>)</p>
<p>Monocytes are considered to play an important role in immunopatology and disease severity in Covid-19. Patients with medium forms of Covid 19 infection presents an increase of activated intermediate monocytes following an early anitiviral response in the nosopharynx (<xref ref-type="bibr" rid="B8">8</xref>). In the case of viral infection, like Covid 19 infection, monocytes migrate in the affected tissue (in our case respiratory tract) to defend against pathogen. In respiratory tract monocytes transform themselves in inflammatory macrophages and gain effector functions of pro- and anti-inflammatory activities, antigen-presentation and tissue remodeling (<xref ref-type="bibr" rid="B40">40</xref>). In the lung, macrophages (both interstitial and alveolar) are the most abundant immune cells. The activation of alveolar monocytes leads to a high phagocytic capacity, higher oxidative burst and increased release of pro-inflammatory cytokines and chemokines. It result inflammation and migration of other inflammatory cells in lung. If the inflammation is prolonged and disregulated, tissue damage can occur. To prevent persistent inflammation, alveolar monocytes act through phagocytosis of dying cells and release of TGF&#x3b2;, IL-10, prostaglandin E2 and platelet-activating factor. Chronic conditions like asthma or chronic obstructive pulmonary disease present a lack in phagocytic activity leading to persistent inflammation (<xref ref-type="bibr" rid="B40">40</xref>).In this study, we assessed the variable expression of different markers on the monocyte membranes of dialyzed patients infected by SARS-CoV-2 and assessed if Covid-19 influenced the distribution of subtypes of monocytes. The aim of this study was to monitor the immune phenotype of ESKD patients with mild Covid-19.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<p>This prospective observational study was started in 2020. It included patients admitted into the Hemodialysis Department of the Emergency Hospital in Bucharest. Changes in immunity in uremic patients treated with dialysis procedures were assessed. We enrolled 15 stable chronic dialysis patients with no serious comorbidities. No patient had diabetes, nor a major cardiovascular event (such as a history of acute myocardial infarction or stroke), and no recent history of an infection. In the event hypertension condition was present it had to be well controlled with medication and hemodialysis. Drugs used for hypertension was beta blockers, converting enzyme inhibitor and calcium blocker. No additional antihypertensive medication was necessary during the study.These patients were compared with a control group of healthy subjects with no renal failure (with normal GFR). There were 12 healthy subjects and 15 hemodialysed patients, with a mean age of 62,3 for the healthy ones and 67,8 for the hemodialysed ones. 7 subjects from the healthy group and 10 from the hemodialysed group were women (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). We performed analysis by flow-cytometry on T-cells, B-cells, and monocyte subsets taken from peripheral blood. This study started just before the onset of the Covid-19 pandemic in our country.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Age and sex ratio distribution of patients enrolled in the initial study.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">&#xa0;</th>
<th valign="middle" align="center">Healthy subjects</th>
<th valign="middle" align="center">Hemodialyzed patients</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="right"><italic>number</italic>
</td>
<td valign="middle" align="left">12</td>
<td valign="middle" align="left">15</td>
</tr>
<tr>
<td valign="middle" align="right"><italic>women</italic>
</td>
<td valign="middle" align="left">7 (58%)</td>
<td valign="middle" align="left">10 (67%)</td>
</tr>
<tr>
<td valign="middle" align="right"><italic>men</italic>
</td>
<td valign="middle" align="left">5 (42%)</td>
<td valign="middle" align="left">5 (33%)</td>
</tr>
<tr>
<td valign="middle" align="right"><italic>Mean of age</italic>
</td>
<td valign="middle" align="left">62,3</td>
<td valign="middle" align="left">67,8</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Seven of the 15 ESKD patients studied caught Covid-19 infection during the follow-up. Before vaccination was available, five (four females, one male), mean age 62 years (range: 36&#x2013;82 years), of our ESKD patients had symptomatic Covid-19. Patients had been under chronic hemodialysis for 1-6 years consecutive to interstitial nephropathy (<italic>n</italic>=3), glomerulonephritis (<italic>n</italic>=1), or glomerulosclerosis (<italic>n</italic>=1<italic>)</italic>. Covid 19 was always mild or moderate, according to the guidelines, with fever, cough, malaise, headache, loss of taste and smell, nausea with respiratory symptoms, but with saturation of oxygen &#x2265;94% in room air (<xref ref-type="bibr" rid="B41">41</xref>). They all recovered within a few days under symptomatic treatment, patients received acetaminophen, ibuprofen, ambazone (oral antiseptic) acetylcysteine in the case of productive cough and herbal cough suppressants like Calmotusin or Antitusin (they are considered food supplement). Monitoring was performed at the time and at a mean of 10 months after the Covid infection: i.e., one patient after 3 months, two patients after 11 months, and 2 patients after 13 months. Hemodialysed patients were tested every 2 weeks during pandemia or if they presented simptoms: fever, cough, rhinorhea. The sample was harvested immediately after the positive result was observed, at the next dialysis session, after 2 days (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Description of timelines of samples collection for study patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left">First sample</th>
<th valign="top" align="left">Secondary sample-Covid infection</th>
<th valign="top" align="left">Secondary sample-Covid infection</th>
<th valign="top" align="left">Secondary sample-Covid infection</th>
<th valign="top" align="left">Secondary sample-Covid infection</th>
<th valign="top" align="left">Secondary sample-Covid infection</th>
<th valign="top" align="center">Last semple</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>1</bold>
</td>
<td valign="top" align="left">7/28/2020</td>
<td valign="top" align="left">11/18/2020</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">12/08/21</td>
</tr>
<tr>
<td valign="top" align="left"><bold>2</bold>
</td>
<td valign="top" align="left">7/30/2020</td>
<td valign="top" align="left"/>
<td valign="top" align="left">11/23/2020</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">12/08/21</td>
</tr>
<tr>
<td valign="top" align="left"><bold>3</bold>
</td>
<td valign="top" align="left">7/30/2020</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">1/6/2021</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">12/08/21</td>
</tr>
<tr>
<td valign="top" align="left"><bold>4</bold>
</td>
<td valign="top" align="left">7/30/2020</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">1/20/2021</td>
<td valign="top" align="left"/>
<td valign="top" align="left">12/08/21</td>
</tr>
<tr>
<td valign="top" align="left"><bold>5</bold>
</td>
<td valign="top" align="left">7/30/2020</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">9/7/2021</td>
<td valign="top" align="left">12/08/21</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>After obtaining informed consent from each subject, a blood sample (~2 mL) was taken on EDTA and subsequently processed using the simple Lyse-Wash protocol: CD14, CD16, CD300e, HLA-DR, CD64, and CD45 (complete with fluorochromes and providers), and was analyzed with Gallios software (Navios&#x2122;) (Beckman-Coulter; Fullerton, CA).</p>
<p>Collection of peripheral blood samples was performed by intravenous puncture and then placed in tubes with EDTA. Samples were kept at room temperature until transported to the laboratory. Approximately 100 &#x3bc;L of blood was taken from each sample and placed in a Falcon tube together with 5&#x2013;20 &#x3bc;L of labelled monoclonal antibodies. The samples were vortexed, incubated for 15&#xa0;min in the dark at room temperature, the red blood cells were lysed, and then the tubes were inserted into the cytometer for data acquisition. We used the Gallios flow-cytometer, produced by Becton Dickinson, which was equipped with three lasers and 10 colors. For the study of monocytes, antibodies were used to identify the markers: CD14, CD16, CD300e, HLA-DR, CD64, and CD45. Monoclonal antibodies from the following manufacturers were used: Beckman-Coulter, Immunotech (BD Biosciences<sup>&#xae;</sup> San Jose, CA), BD Pharmingen, Dako, Cytognos, CD14, APCH7, M&#x3a6;P9, BD; CD16, FITC, CLB-FcGran1, BC; CD300e, APC, IREM-2, Immunotech; HLA-DR, V450, L243, BD; CD64, PE, 10,1, BD; CD45, OC515, HI30, Immunostep.</p>
<p>The Shapiro&#x2013;Wilk test was used to determine if the variables had a normal distribution. If there was no exception, a paired t-test was used. If the data deviated from normality, then the Wilcoxon test was applied using Jasp and NCSS software. Statistically significant differences were considered when <italic>p</italic>&lt;0.05. Our cohort was small, but the results were obtained using paired analysis, thus with greater statistical power to assess the interval between the first and second blood collections (on average a 7-month interval), and a third collection at month 10. No new events occurred during that time that added confounding factors.</p>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>The five patients with moderate Covid infection included in the study were four females and one male with a mean age of 62 years. They all had a moderate form of Covid-19 (including fever, cough, malaise, headache, loss of taste and smell, nausea with respiratory symptoms, but with saturation of oxygen &#x2265;94% in room air). The mean time on dialysis was 3 years at commencement of the study. The mean time between the first and the second sample was 6.4 months; the third test was conducted at 10 months after Covid-19 infection.</p>
<p>The patients did not receive any treatment for any infection other than Covid-19. All our patients received symptomatic treatment with antipyretic and antiemetic drugs, and vitamins during the Covid infection.</p>
<p>
<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref> show the descriptive statistics for white blood cells, monocytes and lymphocyte absolute counts, during, and after Covid infection.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Descriptive statistics and paired t test of WBC, lymphocytes and monocytes values before, during and after Covid infection.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Samples to compare</th>
<th valign="top" align="center">Mean</th>
<th valign="top" align="center">SD</th>
<th valign="top" align="center">Samples to compare</th>
<th valign="top" align="center">Mean</th>
<th valign="top" align="center">SD</th>
<th valign="top" align="center">p</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Leukocytes<break/>before Covid infection</td>
<td valign="top" align="left">9120</td>
<td valign="top" align="left">2385,7</td>
<td valign="top" align="left">Leukocytes<break/>during Covid infection</td>
<td valign="top" align="left">5426</td>
<td valign="top" align="left">2264</td>
<td valign="top" align="right">0.023</td>
</tr>
<tr>
<td valign="top" align="left">Leukocytes<break/>during Covid infection</td>
<td valign="top" align="left">5426</td>
<td valign="top" align="left">2264</td>
<td valign="top" align="left">Leukocytes<break/>after Covid infection</td>
<td valign="top" align="left">7290</td>
<td valign="top" align="left">1432</td>
<td valign="top" align="right">0.206</td>
</tr>
<tr>
<td valign="top" align="left">Leukocytes<break/>before Covid infection</td>
<td valign="top" align="left">9120</td>
<td valign="top" align="left">2385,7</td>
<td valign="top" align="left">Leukocytes<break/>after Covid infection</td>
<td valign="top" align="left">7290</td>
<td valign="top" align="left">1432</td>
<td valign="top" align="right">0.109</td>
</tr>
<tr>
<td valign="top" align="left">Lymphocytes<break/>before Covid infection</td>
<td valign="top" align="left">1616</td>
<td valign="top" align="left">948,8</td>
<td valign="top" align="left">Lymphocytes<break/>during Covid infection</td>
<td valign="top" align="left">1042</td>
<td valign="top" align="left">723,1</td>
<td valign="top" align="right">0.029</td>
</tr>
<tr>
<td valign="top" align="left">Lymphocytes<break/>during Covid infection</td>
<td valign="top" align="left">1042</td>
<td valign="top" align="left">723,1</td>
<td valign="top" align="left">Lymphocytes<break/>after Covid infection</td>
<td valign="top" align="left">1358</td>
<td valign="top" align="left">416,9</td>
<td valign="top" align="right">0.311</td>
</tr>
<tr>
<td valign="top" align="left">Lymphocytes<break/>before Covid infection</td>
<td valign="top" align="left">1616</td>
<td valign="top" align="left">948,8</td>
<td valign="top" align="left">Lymphocytes<break/>after Covid infection</td>
<td valign="top" align="left">1358</td>
<td valign="top" align="left">416,9</td>
<td valign="top" align="right">0.504</td>
</tr>
<tr>
<td valign="top" align="left">Monocytes<break/>before Covid infection</td>
<td valign="top" align="left">646</td>
<td valign="top" align="left">365,2</td>
<td valign="top" align="left">Monocytes<break/>during Covid infection</td>
<td valign="top" align="left">368</td>
<td valign="top" align="left">194,2</td>
<td valign="top" align="right">0.167</td>
</tr>
<tr>
<td valign="top" align="left">Monocytes<break/>during Covid infection</td>
<td valign="top" align="left">368</td>
<td valign="top" align="left">194,2</td>
<td valign="top" align="left">Monocytes<break/>after Covid infection</td>
<td valign="top" align="left">766</td>
<td valign="top" align="left">477,9</td>
<td valign="top" align="right">0.212</td>
</tr>
<tr>
<td valign="top" align="left">Monocytes<break/>before Covid infection</td>
<td valign="top" align="left">646</td>
<td valign="top" align="left">365,2</td>
<td valign="top" align="left">Monocytes<break/>after Covid infection</td>
<td valign="top" align="left">766</td>
<td valign="top" align="left">477,9</td>
<td valign="top" align="right">0.504</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In order to see the differences between the three subtypes of monocytes we analyzed the percentage of classical monocytes with the expression of CD300e and HLA-DR (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>), non-classical monocytes with the expression of CD300e and HLA-DR (<xref ref-type="table" rid="T5"><bold>Table&#xa0;5</bold></xref>), and intermediate monocytes with the expression of CD300e and HLA-DR (<xref ref-type="table" rid="T6"><bold>Table&#xa0;6</bold></xref>) at before, during and after Covid infection</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Descriptive statistics and paired t test of classical monocyte percentages with expression for CD300e and expression of HLA-DR before, during and after Covid infection.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Samples to compare</th>
<th valign="top" align="center">Mean</th>
<th valign="top" align="center">SD</th>
<th valign="top" align="center">Samples to compare</th>
<th valign="top" align="center">Mean</th>
<th valign="top" align="center">SD</th>
<th valign="top" align="center">p</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Classical monocytes before Covid infection</td>
<td valign="top" align="left">73,4</td>
<td valign="top" align="left">9,6</td>
<td valign="top" align="left">Classical monocytes during Covid infection</td>
<td valign="top" align="left">59</td>
<td valign="top" align="left">28,9</td>
<td valign="top" align="left">0.295</td>
</tr>
<tr>
<td valign="top" align="left">Classical monocytes during Covid infection</td>
<td valign="top" align="left">59</td>
<td valign="top" align="left">28,9</td>
<td valign="top" align="left">Classical monocytes after Covid infection</td>
<td valign="top" align="left">86,6</td>
<td valign="top" align="left">2,1</td>
<td valign="top" align="left">0.113</td>
</tr>
<tr>
<td valign="top" align="left">Classical monocytes before Covid infection</td>
<td valign="top" align="left">73,4</td>
<td valign="top" align="left">9,6</td>
<td valign="top" align="left">Classical monocytes after Covid infection</td>
<td valign="top" align="left">86,6</td>
<td valign="top" align="left">2,1</td>
<td valign="top" align="left">0.057</td>
</tr>
<tr>
<td valign="top" align="left">Classical monocytes CD300e before Covid infection</td>
<td valign="top" align="left">94,6</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">Classical monocytes CD300e during Covid infection</td>
<td valign="top" align="left">89,4</td>
<td valign="top" align="left">8,5</td>
<td valign="top" align="left">0.240</td>
</tr>
<tr>
<td valign="top" align="left">Classical monocytes CD300e during Covid infection</td>
<td valign="top" align="left">89,4</td>
<td valign="top" align="left">8,5</td>
<td valign="top" align="left">Classical monocytes CD300e after Covid infection</td>
<td valign="top" align="left">91,8</td>
<td valign="top" align="left">7,7</td>
<td valign="top" align="left">0.151</td>
</tr>
<tr>
<td valign="top" align="left">Classical monocytesCD300e before Covid infection</td>
<td valign="top" align="left">94,6</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">Classical monocytes CD300e after Covid infection</td>
<td valign="top" align="left">91,8</td>
<td valign="top" align="left">7,7</td>
<td valign="top" align="left">0.454</td>
</tr>
<tr>
<td valign="top" align="left">Classical monocytes HLADR before Covid infection</td>
<td valign="top" align="left">71,6</td>
<td valign="top" align="left">9</td>
<td valign="top" align="left">Classical monocytes HLADR during Covid infection</td>
<td valign="top" align="left">75,2</td>
<td valign="top" align="left">21,9</td>
<td valign="top" align="left">0.745</td>
</tr>
<tr>
<td valign="top" align="left">Classical monocytes HLADR during Covid infection</td>
<td valign="top" align="left">75,2</td>
<td valign="top" align="left">21,9</td>
<td valign="top" align="left">Classical monocytes HLADR after Covid infection</td>
<td valign="top" align="left">81,1</td>
<td valign="top" align="left">7,7</td>
<td valign="top" align="left">0.650</td>
</tr>
<tr>
<td valign="top" align="left">Classical monocytes HLADR before Covid infection</td>
<td valign="top" align="left">71,6</td>
<td valign="top" align="left">9</td>
<td valign="top" align="left">Classical monocytes HLADR after Covid infection</td>
<td valign="top" align="left">81,1</td>
<td valign="top" align="left">7,7</td>
<td valign="top" align="left">0.201</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Descriptive statistics and paired t test of non-classical monocyte percentages with expression of CD300e and expression of HLA-DR before, during, and after Covid infection.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Samples to compare</th>
<th valign="top" align="center">Mean</th>
<th valign="top" align="center">SD</th>
<th valign="top" align="center">Samples to compare</th>
<th valign="top" align="center">Mean</th>
<th valign="top" align="center">SD</th>
<th valign="top" align="center">p</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Nonclassical monocytes before Covid infection</td>
<td valign="top" align="left">8,2</td>
<td valign="top" align="left">3,2</td>
<td valign="top" align="left">Nonclassical monocytes during Covid infection</td>
<td valign="top" align="left">1,8</td>
<td valign="top" align="left">1,7</td>
<td valign="top" align="left">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Nonclassical monocytes during Covid infection</td>
<td valign="top" align="left">1,8</td>
<td valign="top" align="left">1,7</td>
<td valign="top" align="left">Nonclassical monocytes after Covid infection</td>
<td valign="top" align="left">0,8</td>
<td valign="top" align="left">0,6</td>
<td valign="top" align="left">0.361</td>
</tr>
<tr>
<td valign="top" align="left">Nonclassical monocytes before Covid infection</td>
<td valign="top" align="left">8,2</td>
<td valign="top" align="left">3,2</td>
<td valign="top" align="left">Nonclassical monocytes after Covid infection</td>
<td valign="top" align="left">0,8</td>
<td valign="top" align="left">0,6</td>
<td valign="top" align="left">0.010</td>
</tr>
<tr>
<td valign="top" align="left">Nonclassical monocyteCD300e before Covid infection</td>
<td valign="top" align="left">58,4</td>
<td valign="top" align="left">26,2</td>
<td valign="top" align="left">Nonclassical monocyteCD300e during Covid infection</td>
<td valign="top" align="left">61,6</td>
<td valign="top" align="left">22,4</td>
<td valign="top" align="left">0.654</td>
</tr>
<tr>
<td valign="top" align="left">Nonclassical monocyteCD300e durind Covid infection</td>
<td valign="top" align="left">61,6</td>
<td valign="top" align="left">22,4</td>
<td valign="top" align="left">Nonclassical monocyteCD300e after Covid infection</td>
<td valign="top" align="left">36,2</td>
<td valign="top" align="left">15,3</td>
<td valign="top" align="left">0.077</td>
</tr>
<tr>
<td valign="top" align="left">Nonclassical monocyteCD300e before Covid infection</td>
<td valign="top" align="left">58,4</td>
<td valign="top" align="left">26,2</td>
<td valign="top" align="left">Nonclassical monocyteCD300e after Covid infection</td>
<td valign="top" align="left">36,2</td>
<td valign="top" align="left">15,3</td>
<td valign="top" align="left">0.082</td>
</tr>
<tr>
<td valign="top" align="left">Nonclassical monocytes HLADR before Covid infection</td>
<td valign="top" align="left">20,9</td>
<td valign="top" align="left">11,4</td>
<td valign="top" align="left">Nonclassical monocytes HLADR during Covid infection</td>
<td valign="top" align="left">64</td>
<td valign="top" align="left">33,7</td>
<td valign="top" align="left">0.033</td>
</tr>
<tr>
<td valign="top" align="left">Nonclassical monocytes HLADR during Covid infection</td>
<td valign="top" align="left">64</td>
<td valign="top" align="left">33,7</td>
<td valign="top" align="left">Nonclassical monocytes HLADR after Covid infection</td>
<td valign="top" align="left">9,6</td>
<td valign="top" align="left">8,2</td>
<td valign="top" align="left">0.023</td>
</tr>
<tr>
<td valign="top" align="left">Nonclassical monocytes HLADR before Covid infection</td>
<td valign="top" align="left">20,9</td>
<td valign="top" align="left">11,4</td>
<td valign="top" align="left">Nonclassical monocytes HLADR after Covid infection</td>
<td valign="top" align="left">9,6</td>
<td valign="top" align="left">8,2</td>
<td valign="top" align="left">0.087</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Descriptive statistics and paired t test of intermediate monocyte absolute percentages with expression of CD300e and expression of HLA-DR before, during, and after Covid infection. .</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Samples to compare</th>
<th valign="top" align="center">Mean</th>
<th valign="top" align="center">SD</th>
<th valign="top" align="center">Samples to compare</th>
<th valign="top" align="center">Mean</th>
<th valign="top" align="center">SD</th>
<th valign="top" align="center">p</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Intermediate monocytes before Covid infection</td>
<td valign="top" align="left">11,2</td>
<td valign="top" align="left">4,8</td>
<td valign="top" align="left">Intermediate monocytes during Covid infection</td>
<td valign="top" align="left">37</td>
<td valign="top" align="left">28,8</td>
<td valign="top" align="left">0.115</td>
</tr>
<tr>
<td valign="top" align="left">Intermediate monocytes during Covid infection</td>
<td valign="top" align="left">37</td>
<td valign="top" align="left">28,8</td>
<td valign="top" align="left">Intermediate monocytes after Covid infection</td>
<td valign="top" align="left">6,3</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">0.077</td>
</tr>
<tr>
<td valign="top" align="left">Intermediate monocytes before Covid infection</td>
<td valign="top" align="left">11,2</td>
<td valign="top" align="left">4,8</td>
<td valign="top" align="left">Intermediate monocytes after Covid infection</td>
<td valign="top" align="left">6,3</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">0.049</td>
</tr>
<tr>
<td valign="top" align="left">Intermediate monocytesCD300e before Covid infection</td>
<td valign="top" align="left">96,2</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">Intermediate monocytesCD300e during Covid infection</td>
<td valign="top" align="left">95,2</td>
<td valign="top" align="left">3,8</td>
<td valign="top" align="left">0.690</td>
</tr>
<tr>
<td valign="top" align="left">Intermediate monocytesCD300e during Covid infection</td>
<td valign="top" align="left">95,2</td>
<td valign="top" align="left">3,8</td>
<td valign="top" align="left">Intermediate monocytesCD300e after Covid infection</td>
<td valign="top" align="left">97</td>
<td valign="top" align="left">1,5</td>
<td valign="top" align="left">0.244</td>
</tr>
<tr>
<td valign="top" align="left">Intermediate monocytesCD300e before Covid infection</td>
<td valign="top" align="left">96,2</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">Intermediate monocytesCD300e after Covid infection</td>
<td valign="top" align="left">97</td>
<td valign="top" align="left">1,5</td>
<td valign="top" align="left">0.517</td>
</tr>
<tr>
<td valign="top" align="left">Intermediate monocytes HLADR before Covid infection</td>
<td valign="top" align="left">68,7</td>
<td valign="top" align="left">7,9</td>
<td valign="top" align="left">Intermediate monocytes HLADR during Covid infection</td>
<td valign="top" align="left">80,2</td>
<td valign="top" align="left">18</td>
<td valign="top" align="left">0.332</td>
</tr>
<tr>
<td valign="top" align="left">Intermediate monocytes HLADR during Covid infection</td>
<td valign="top" align="left">80,2</td>
<td valign="top" align="left">18</td>
<td valign="top" align="left">Intermediate monocytes HLADR after Covid infection</td>
<td valign="top" align="left">87,8</td>
<td valign="top" align="left">4,7</td>
<td valign="top" align="left">0.416</td>
</tr>
<tr>
<td valign="top" align="left">Intermediate monocytes HLADR before Covid infection</td>
<td valign="top" align="left">68,7</td>
<td valign="top" align="left">7,9</td>
<td valign="top" align="left">Intermediate monocytes HLADR after Covid infection</td>
<td valign="top" align="left">87,8</td>
<td valign="top" align="left">4,7</td>
<td valign="top" align="left">0.012</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In the initial study (on 15 hemodialyzed patients with no Covid infection versus control) monocytes were obtained with the following results: no differences were found between the number of monocytes and leucocytes in hemodialyzed patients versus the healthy controls. The percentage of classical monocytes was lower in dialyzed patients compared to the control group (p:0,001, <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>) Both non-classical (p:0,001, <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>) and intermediate monocytes (p:0,001, <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>) were significantly elevated in dialyzed patients compared to the control group, and there was increased expression of HLA-DR and CD300e on CD16+ monocyte in ESKD patients (<xref ref-type="table" rid="T7"><bold>Table&#xa0;7</bold></xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Dot plot histogram representing the percentage of classical monocytes lower in dialyzed patients compared to the control group (p:0,001).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1210961-g001.tif"/>
</fig>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Dot plot histogram representing the percentage of non-classical monocytes elevated in dialyzed patients compared to the control group (p:0,001).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1210961-g002.tif"/>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Dot plot histogram representing the percentage of intermediate monocytes elevated in dialyzed patients compared to the control group (p:0,001).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1210961-g003.tif"/>
</fig>
<table-wrap id="T7" position="float">
<label>Table&#xa0;7</label>
<caption>
<p>Descriptive statistics and paired t test of non-classical monocyte percentages with expression of CD300e and expression of HLA-DR between healthy subjects and patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Samples to compare</th>
<th valign="top" align="center">Mean</th>
<th valign="top" align="center">SD</th>
<th valign="top" align="center">Samples to compare</th>
<th valign="top" align="center">Mean</th>
<th valign="top" align="center">SD</th>
<th valign="top" align="center">p</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Monocytes healthy subjects</td>
<td valign="top" align="left">505,8</td>
<td valign="top" align="left">145,6</td>
<td valign="top" align="left">Monocytes hemodialyzed patients</td>
<td valign="top" align="left">689,3</td>
<td valign="top" align="left">347,7</td>
<td valign="top" align="left">0,1</td>
</tr>
<tr>
<td valign="top" align="left">HLADR monocytes healthy subjects</td>
<td valign="top" align="left">75,8</td>
<td valign="top" align="left">15,5</td>
<td valign="top" align="left">HLADR monocytes hemodialyzed patients</td>
<td valign="top" align="left">69,9</td>
<td valign="top" align="left">15,6</td>
<td valign="top" align="left">0,336</td>
</tr>
<tr>
<td valign="top" align="left">CD300e monocytes healthy subjects</td>
<td valign="top" align="left">85,2</td>
<td valign="top" align="left">9,4</td>
<td valign="top" align="left">CD 300e monocytes hemodialyzed patients</td>
<td valign="top" align="left">88,4</td>
<td valign="top" align="left">5,4</td>
<td valign="top" align="left">0,5</td>
</tr>
<tr>
<td valign="top" align="left">Classical monocytes healthy subjects</td>
<td valign="top" align="left">88,2</td>
<td valign="top" align="left">5,5</td>
<td valign="top" align="left">Classical monocytes hemodialyzed subjects</td>
<td valign="top" align="left">72,9</td>
<td valign="top" align="left">8,1</td>
<td valign="top" align="left">0,001</td>
</tr>
<tr>
<td valign="top" align="left">Classical HLADR monocytes healthy subjects</td>
<td valign="top" align="left">77,2</td>
<td valign="top" align="left">13,3</td>
<td valign="top" align="left">Classical HLADR monocytes hemodialyzed subjects</td>
<td valign="top" align="left">78,3</td>
<td valign="top" align="left">12,3</td>
<td valign="top" align="left">0,9</td>
</tr>
<tr>
<td valign="top" align="left">Classical CD300e monocytes healthy subjects</td>
<td valign="top" align="left">87,7</td>
<td valign="top" align="left">10,6</td>
<td valign="top" align="left">Classical CD300e monocytes hemodialyzed subjects</td>
<td valign="top" align="left">93,2</td>
<td valign="top" align="left">4,5</td>
<td valign="top" align="left">0,13</td>
</tr>
<tr>
<td valign="top" align="left">Nonclassical monocytes healthy subjects</td>
<td valign="top" align="left">1,06</td>
<td valign="top" align="left">1,2</td>
<td valign="top" align="left">Nonclassical monocytes hemodialyzed subjects</td>
<td valign="top" align="left">4,7</td>
<td valign="top" align="left">3,1</td>
<td valign="top" align="left">0,001</td>
</tr>
<tr>
<td valign="top" align="left">Nonclassical HLADR monocytes healthy subjects</td>
<td valign="top" align="left">43</td>
<td valign="top" align="left">20,6</td>
<td valign="top" align="left">Nonclassical HLADR monocytes hemodialyzed subjects</td>
<td valign="top" align="left">38,6</td>
<td valign="top" align="left">36,1</td>
<td valign="top" align="left">0,5<break/>(0,001 for absolute values)</td>
</tr>
<tr>
<td valign="top" align="left">Nonclassical CD300e monocytes healthy subjects</td>
<td valign="top" align="left">57,5</td>
<td valign="top" align="left">61,5</td>
<td valign="top" align="left">Nonclassical CD300e<break/>monocytes hemodialyzed subjects</td>
<td valign="top" align="left">63,2</td>
<td valign="top" align="left">22,4</td>
<td valign="top" align="left">0,4</td>
</tr>
<tr>
<td valign="top" align="left">Intermediate monocytes healthy subjects</td>
<td valign="top" align="left">5,8</td>
<td valign="top" align="left">2,4</td>
<td valign="top" align="left">Intermediate monocytes hemodialyzed subjects</td>
<td valign="top" align="left">11,7</td>
<td valign="top" align="left">4,5</td>
<td valign="top" align="left">0,001</td>
</tr>
<tr>
<td valign="top" align="left">Intermediate HLADR monocytes healthy subjects</td>
<td valign="top" align="left">89,2</td>
<td valign="top" align="left">6,5</td>
<td valign="top" align="left">Intermediate HLADR monocytes hemodialyzed subjects</td>
<td valign="top" align="left">82,3</td>
<td valign="top" align="left">12,2</td>
<td valign="top" align="left">0,09<break/>(0,01 for absolute value)</td>
</tr>
<tr>
<td valign="top" align="left">Intermediate CD300e<break/>monocytes healthy subjects</td>
<td valign="top" align="left">96,2</td>
<td valign="top" align="left">2,7</td>
<td valign="top" align="left">Intermediate CD300e<break/>monocytes hemodialyzed subjects</td>
<td valign="top" align="left">97,3</td>
<td valign="top" align="left">2,3</td>
<td valign="top" align="left">0,2<break/>(0,001 for absolute value)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In the study regarding the five patients with Covid infection the results did not differ in terms of hematocrit and hemoglobinemia during the evolution. Leucocytosis significantly declined from 9,120 (5,800 &#x2013; 11,200) cell/&#xb5;L before Covid-19 infection in acute Covid-19 to 5,426 (3,800 &#x2013; 9,300) cell/&#xb5;L (<italic>p</italic>= 0,023). This was mainly related to lymphopenia 1,042 (540 &#x2013; 2,300) cell/&#xb5;L, as compared to values before Covid at 1,616 (1,050 &#x2013; 3,280) cell/&#xb5;L (<italic>p</italic>=0,029), whereas monocytes were not significantly changed 368 (160 &#x2013; 600 cell/&#xb5;L) as compared to 646 (200 &#x2013; 1,040) cell/&#xb5;L (<italic>p</italic>= 0,167). At 10 months after Covid-19 recovery, lymphocyte counts were still low at 1,358 (670&#x2013; 1,760) cell/&#xb5;L, whereas monocyte numbers were within same range. (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>) (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>)</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Numbers of WBC, lymphocytes, and monocytes in patients before, during and after Covid-19 infection. Results are presented in box plots indicating the median as the horizontal line, 25<sup>th</sup>-75<sup>th</sup> percentiles as the group distributions represented as boxes, and 2.5--97.5% cumulative frequencies as shown as whiskers. Outliners [identified by the 1.5 x inter-quartile range (IQR) criterion] are plotted as empty squares. * represents p&lt;0.05 and ** represents p&lt;0,01.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1210961-g004.tif"/>
</fig>
<p>CD14-low CD16+ monocytes were significantly reduced in patients with Covid-19, representing 1.8% (0.5 &#x2013; 4.9%) of monocytes (<italic>p</italic>=0.010), as compared to those with non-infected ESKD: 8.27% (6.2 &#x2013; 13.9%) of monocytes. Their numbers remained low at 10 months after recovery: 0.85% (0.29 &#x2013; 1.9% of monocytes). Pro-inflammatory marker HLA-DR was more expressed on CD14-low CD16+ monocytes in Covid-19 at 64.06% (8.92 &#x2013; 91.84% of non-classical monocytes) as compared to non-infected ESKD patients at 20.97% (6.37-36.17%), whereas expression of CD300e was not significantly changed: 61.6% (26.1 &#x2013; 88.3% of non-classical monocytes) compared to 58.4% (18.3 &#x2013; 85.5% of non-classical monocytes before Covid infection). (<xref ref-type="table" rid="T5"><bold>Table&#xa0;5</bold></xref>) (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>)</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Non-classical CD14-low CD16+ subsets of monocytes, expression of percentage and expression of CD 300e and HLA-DR on non-classical CD14-low CD16+ subsets of monocytes before, during, and after COVID-19 infection. Results are presented in box plots indicating the median as the horizontal line, 25<sup>th</sup>-75<sup>th</sup> percentiles as the group distributions as boxes, and 2.5-97.5% cumulative frequencies as whiskers. Outliners [identified by the 1.5 x inter-quartile range (IQR) criterion] are plotted as empty squares. * represents p&lt;0.05 and ** represents p&lt;0,01.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1210961-g005.tif"/>
</fig>
<p>Regarding classical monocytes, neither HLA-DR 75.3% (41.2 &#x2013; 98.2%) compared to 71.6% (55.7 &#x2013; 77.8%), nor CD300e at 89.4% (74.3 &#x2013; 94.7%) compared to 94.6% (93.1 &#x2013; 95.7%) was significantly changed regarding classical monocytes. (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>) (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>)</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Classical CD14+ CD16- subsets of monocytes, and percentages and expression of CD 300e and HLA-DR on classical CD14+ CD16- subsets of monocytes before, during, and after Covid-19 infection. Results are presented in box plots indicating the median as the horizontal line, 25<sup>th</sup>-75<sup>th</sup> percentiles as the group distributions are shown as boxes, and 2.5-97.5% cumulative frequencies are shown as whiskers. Outliners [identified by the 1.5 x inter-quartile range (IQR) criterion] are plotted as empty squares. * represents p&lt;0.05 and ** represents p&lt;0,01.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1210961-g006.tif"/>
</fig>
<p>Intermediate monocytes seem to be increased in patients with Covid-19, representing 37% (8.2&#x2013; 80.4%) of monocytes as compared to those with non-infected ESKD, at 11.2% (7.6 &#x2013; 19.2% of monocytes). The population decreased at 10 months after recovery: 6.3% (5.3 &#x2013; 8%) of monocytes (<italic>p</italic>: 0,049) compared to non-infected patients. The pro-inflammatory marker HLA-DR was more expressed on intermediate monocytes with Covid-19, at 80.2% (55.1 &#x2013; 98.8%) as compared to non-infected ESKD patients at 68.7% (57.2-77.2%). Expression of CD300e was not significantly changed: 95.2% (89.2 &#x2013; 98.8%) of intermediate monocytes compared to 96.2% (91.5&#x2013; 100%) of intermediate monocytes before Covid-19 infection. At 10 months after recovery, the expression of HLA-DR intermediate monocytes increased significantly: 87.8% (82.8&#x2013;93.4%) of intermediate monocytes (<italic>p</italic>:0,012) compared to non-infected patients. (<xref ref-type="table" rid="T6"><bold>Table&#xa0;6</bold></xref>) (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7</bold></xref>)</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Intermediate CD14+ CD16+ subsets of monocytes, expression of percentage and expression of CD 300e and HLA-DR on intermediate CD14+ CD16+ subsets of monocytes before, during and after COVID-19 infection. Results are presented in box plots indicating the median as the horizontal line, 25<sup>th</sup>-75<sup>th</sup> percentiles as the group distributions as boxes and 2.5-97.5% cumulative frequencies as whiskers. Outliners [identified by the 1.5 x inter-quartile range (IQR) criterion] are plotted as empty squares. * represents p&lt;0.05 and ** represents p&lt;0,01.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1210961-g007.tif"/>
</fig>
<p>FACS dot plots with monocytes subtypes are represented in <xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8</bold></xref>, showing the differences before, during and after COVID-19 infection in study patients.</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>FACS plots histograms representing the monocytes subtypes before, during and after COVID infection. Acquisition on Gallios Beckman Coulter cytometer, gating was done with CD64 on monocytes and CD14/CD16 graph was used to discriminate monocytes subsets.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1210961-g008.tif"/>
</fig>
<p>Surprisingly, we observed a prolonged immune effect of mild Covid 19 that was still significant after 10 months, although no other clinical complications, infections, thrombotic events, or cardiovascular events, were observed.</p>
<p>Using Spearman&#x2019;s rho correlation, we obtained a positive correlation between the number of leucocytes and lymphocytes (<italic>p</italic>:0.017), and the number of monocytes and classical monocytes before Covid-19 infection. Also, between the number of lymphocytes and monocytes during Covid-19 infection (<italic>p</italic>:0.017), and between the number of leucocytes and monocytes (<italic>p</italic>:0,017), the number of leucocytes, and intermediate monocytes (<italic>p</italic>:0.017) and the number of monocytes and intermediate monocytes (<italic>p</italic>:0.017) after Covid-19 infection.</p>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion and conclusion</title>
<p>Mortality from Covid 19 has been shown to be high in those with ESKD; renal failure is a risk factor for severe forms of Covid-19 infection (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B42">42</xref>). Thus, we tried to determine if these patients treated by hemodialysis had different immune response regarding monocyte cells.</p>
<p>This is the first prospective study performed on ESKD patients that has focused on the effect of Covid-19 on monocyte subsets. Fortunately, all our patients only had mild-medium severity Covid.</p>
<p>In medium-severity Covid-19 infection, our results showed a significant decrease in the absolute number of lymphocytes, as has been already seen in severe Covid-19 (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B43">43</xref>) (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>) This suggests that ESKD immunity was more susceptible to the SARS CoV-2 virus, possibly because of chronic inflammation caused by the initial disease and periodical contact with the dialysis membrane. Fortunately, the immune effect was not related to Covid-19 severity and none of our patients had severe Covid. There was 100% survival at approximately one year after Covid infection, without secondary sequelae of the disease. The number of monocytes was not changed: this is in contrast to another study (Qin S. et&#xa0;al., 2020) that described a significant increase in the medium-severity forms of Covid-19 (<xref ref-type="bibr" rid="B44">44</xref>).</p>
<p>HLA-DR expression on monocytes is decreased in severe prolonged sepsis and is correlated with immune deficiency in intensive-care patients. However, our results show that this was not the case in our patients, which agrees with their mild form of Covid-19 and their quick recovery.</p>
<p>CD14low CD16+ monocytes have been described to have a pro-inflammatory activity. This is in line with increased expression of CD300e as compared to classical monocytes. ESKD patients are known to have some level of chronic inflammation and it is not really a surprise that Covid-19, known to induce severe activation of innate immunity, had increased the level of inflammation. What is more surprising is the long-term persistence of this extra inflammation after recovery from Covid-19 in our patients. These patients had no symptoms, such as fever, muscle, or joint pain after recovery, but had raised background inflammation which is known to lead to long-term cardiovascular pathology (<xref ref-type="bibr" rid="B4">4</xref>). This suggests that chronic inflammation must be considered in ESKD patients that have recovered from Covid-19.</p>
<p>In our study, we focused on a medium form of Covid-19 infection regarding changes in monocyte activation and subset expansion in patients with advanced-stage renal failure and on hemodialysis. We compared our results with those of other studies (reported within the last years) of patients with a medium form of Covid-19 infection but no renal failure. The advantage of our study is that we had controls without Covid that did not have significant changes.</p>
<p>HLA-DR and CD300e expression was analyzed by the percentage expression in each subset of monocytes that we considered more relevant than the nominal elevation or decreasing tendency in those subsets of monocytes. Our results show a slow decrease in the percentage of classical monocytes, an increase in intermediary monocytes, and a significant decrease of non-classical monocytes: this concurred with another study (Haschka D. et&#xa0;al, 2022) that reported depletion of non-classical monocytes and expansion of the intermediate subset (<xref ref-type="bibr" rid="B45">45</xref>). A study published in 2021 (Boumaza A. et&#xa0;al, 2021) reported that Covid-19 patients had decreased percentages of all subclasses of monocytes: classical, intermediate, and non-classical (<xref ref-type="bibr" rid="B43">43</xref>). Another study (Gatti A. et&#xa0;al, 2020) described a higher percentage of intermediate and non-classical monocytes associated with moderate-infection Covid compared to controls, and a significant decrease in non-classical and intermediate monocytes in severe cases (<xref ref-type="bibr" rid="B46">46</xref>). An increase in non-classical monocytes associated with severe forms of Covid-19 was also described in 2021 (Roussel M. et&#xa0;al, 2021) (<xref ref-type="bibr" rid="B47">47</xref>).</p>
<p>Percentage of non-classical monocytes was decreased with a higher expression of HLA-DR and mild elevation of CD300e (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>) even though other reports show decreased expression of HLA-DR in patients with a medium form of Covid-19 infection and without advanced renal failure (Boumaza A. et&#xa0;al, 2021) (<xref ref-type="bibr" rid="B43">43</xref>). The percentage of intermediate monocytes were elevated (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7</bold></xref>) and comparable with other reports on patients with a medium form of Covid-19 infection and no advanced renal failure (Gatti A. et&#xa0;al, 2020) (<xref ref-type="bibr" rid="B46">46</xref>). However, we also found elevated expression of HLA-DR and lower expression of CD300e, which contradicts some reports that show decreasing expression of HLA-DR in patients with a medium form of Covid-19 infection but no advanced renal failure (Boumaza A. et&#xa0;al, 2021) (<xref ref-type="bibr" rid="B43">43</xref>). Other studies report a decrease in monocytes HLA-DR expression in severe forms of Covid-19 (Gatti A. et&#xa0;al, 2020, Qin S. et&#xa0;al, 2020) (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B48">48</xref>) and propose that the decrease of intermediate and non-classical monocytes and the downregulation of monocyte HLA-DR are indicators from severe forms of Covid-19 (Gatti A. et&#xa0;al, 2020) (<xref ref-type="bibr" rid="B46">46</xref>).</p>
<p>Overall, we found a tendency for increasing of HLA-DR and CD300e expression in some patients with medium-form Covid-19 infection and no advanced renal failure, which is similar to other reports (Zenarruzabeitia et&#xa0;al., 2021, Schulte-Schrepping J. et&#xa0;al., 2020) (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B49">49</xref>). We can consider that advanced renal failure with hemodialysis does not change the inflammatory response against SARS-Cov2 in patients with medium-form Covid-19 infection.</p>
<p>When we analyzed the subsets of monocytes in patients with a medium form of Covid-19 infection and advanced renal failure we found a different distribution of inflammatory response: there was a decrease in classical and non-classical monocytes, as occurs in patients with severe forms of Covid, but apparently without worsening the outcome. We noticed also that non-classical monocytes expressed higher level of HLA-DR in our patients compared to patients with medium-form Covid-19 and no advanced renal failure (Boumaza A. et&#xa0;al, 2021) (<xref ref-type="bibr" rid="B43">43</xref>). Intermediary monocytes increased similarly in patients with medium-form Covid-19 infection and no advanced renal failure (Gatti A. et&#xa0;al, 2020) (<xref ref-type="bibr" rid="B46">46</xref>). The same elevated expression of HLA-DR was found in this subset, in contrast to patients with different forms of Covid-19 infection with no advanced renal failure: in other study expression of HLA-DR was decreased in non-classical and intermediate monocytes and was not related to the severity of Covid-19 (Boumaza A. et&#xa0;al, 2021) (<xref ref-type="bibr" rid="B43">43</xref>). These changes could suggest higher antiviral activity in non-classical monocytes and higher inflammatory and phagocytic activity in intermediate monocytes in patients with advanced renal failure and that have had a medium form of Covid-19 infection. If we also consider the results after recovery from Covid infection, it seems that proinflammatory monocyte status continued for many months afterwards.</p>
<p>In conclusion classical monocytes seem to be less affected during Covid-19 infection and there was no statistical evidence for their enhanced activity during or after Covid infection.</p>
<p>A decrease in non-classical monocytes during Covid infection was statistically significant, but the expression of HLA-DR increased leading to greater inflammatory activity. Furthermore, the percentage of non-classical monocytes continued to decrease and was less activated after Covid-19 infection when compared with data taken during or even before infection so we observed a persistent decrease in non-classical monocytes accompanied by the loss of inflammatory activity due to Covid infection.</p>
<p>Like non-classical monocytes, the percentage of intermediary monocytes decreased after a Covid-19 infection compared to before infection, but they retained inflammatory activity and a significant increase in HLA-DR expression compared to before infection and this is the most important result of our study because this class of intermediary monocytes is associated with increased cardiovascular mortality and morbidity in patients with ESKD. It seems that Covid-19 infection acts like a trigger to activate them after recovery from a Covid infection.</p>
<p>We need to see if this inflammatory status persists, what its consequences are on comorbidities and cardiovascular events, and how this can influence outcomes, morbidity, and mortality of these patients.</p>
<p>Finally, we conclude that ESKD associated with medium severity form of COVID-19 infection has a different evolution compared to those without renal damage, and associate a persistent inflammatory status related to monocyte behavior, and possible higher risk for cardiovascular complications long time after the infection.</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/supplementary material. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by University Emergency Hospital Bucharest, Emergency Clinical Hospital Bucharest. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>VB has done the design of study, database, statistical analysis and interpretation of results, discussion and conclusions LA, LR and LD have done the database HB has done the interpretation of immunophenotypical results and submit the manuscript ID did the immunophenotypical acquisition and analysis CL revised the manuscript especially the results and discussion part A-MV approved the final version of manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s8" 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="s9" 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>
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