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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">87</journal-id>
      <journal-id journal-id-type="index">urn:lsid:arphahub.com:pub:A116C711-4C18-5A38-8F1E-5E97753A8A64</journal-id>
      <journal-title-group>
        <journal-title xml:lang="en">Folia Medica</journal-title>
        <abbrev-journal-title xml:lang="en">FM</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">0204-8043</issn>
      <issn pub-type="epub">1314-2143</issn>
      <publisher>
        <publisher-name>Plovdiv Medical University</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.3897/folmed.65.e90054</article-id>
      <article-id pub-id-type="publisher-id">90054</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Article</subject>
        </subj-group>
        <subj-group subj-group-type="scientific_subject">
          <subject>Immunology</subject>
          <subject>Infectious diseases</subject>
          <subject>Women health</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Viral-induced inflammation can lead to adverse pregnancy outcomes</article-title>
      </title-group>
      <contrib-group content-type="authors">
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Papadatou</surname>
            <given-names>Vasiliki</given-names>
          </name>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Tologkos</surname>
            <given-names>Stylianos</given-names>
          </name>
          <email xlink:type="simple">steltolo@gmail.com</email>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Deftereou</surname>
            <given-names>Theodora</given-names>
          </name>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Alexiadis</surname>
            <given-names>Triantafyllos</given-names>
          </name>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Pagonopoulou</surname>
            <given-names>Olga</given-names>
          </name>
          <xref ref-type="aff" rid="A2">2</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Alexiadi</surname>
            <given-names>Christina-Angelika</given-names>
          </name>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Bakatselou</surname>
            <given-names>Panagiota</given-names>
          </name>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Oglou</surname>
            <given-names>Sadik Tzem Chousein</given-names>
          </name>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Tripsianis</surname>
            <given-names>Grigorios</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0002-2544-1721</uri>
          <xref ref-type="aff" rid="A3">3</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Mitrakas</surname>
            <given-names>Achilleas</given-names>
          </name>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Lambropoulou</surname>
            <given-names>Maria</given-names>
          </name>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="A1">
        <label>1</label>
        <addr-line content-type="verbatim">Laboratory of Histology and Embryology, Medical Department, Democritus University of Thrace, Evros, Greece</addr-line>
        <institution>Laboratory of Histology &amp; Embryology, Medical Department, Democritus University of Thrace, Evros, Greece</institution>
        <addr-line content-type="city">Alexandroupolis</addr-line>
        <country>Greece</country>
      </aff>
      <aff id="A2">
        <label>2</label>
        <addr-line content-type="verbatim">Laboratory of Physiology, Medical Department, Democritus University of Thrace, Evros, Greece</addr-line>
        <institution>Laboratory of Physiology, Medical Department, Democritus University of Thrace, Evros, Greece</institution>
        <addr-line content-type="city">Alexandroupolis</addr-line>
        <country>Greece</country>
      </aff>
      <aff id="A3">
        <label>3</label>
        <addr-line content-type="verbatim">Laboratory of Medical Statistics, Medical Department, Democritus University of Thrace, Evros, Greece</addr-line>
        <institution>Laboratory of Medical Statistics, Medical Department, Democritus University of Thrace, Evros, Greece</institution>
        <addr-line content-type="city">Alexandroupolis</addr-line>
        <country>Greece</country>
      </aff>
      <author-notes>
        <fn fn-type="corresp">
          <p>Corresponding Author: Tologkos Stylianos, Laboratory of Histology and Embryology, Faculty of Medicine, Democritus University of Thrace, Dragana, 68100, Koutavou 32 Alexandroupolis, Greece; Email: <email xlink:type="simple">steltolo@gmail.com</email>; Tel.:+306992818282</p>
        </fn>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2023</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>31</day>
        <month>10</month>
        <year>2023</year>
      </pub-date>
      <volume>65</volume>
      <issue>5</issue>
      <fpage>744</fpage>
      <lpage>752</lpage>
      <uri content-type="arpha" xlink:href="http://openbiodiv.net/33C04450-DCB3-5D3F-ADD6-87D1EF3D89C5">33C04450-DCB3-5D3F-ADD6-87D1EF3D89C5</uri>
      <history>
        <date date-type="received">
          <day>07</day>
          <month>07</month>
          <year>2022</year>
        </date>
        <date date-type="accepted">
          <day>07</day>
          <month>11</month>
          <year>2022</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>Vasiliki Papadatou, Stylianos Tologkos, Theodora Deftereou, Triantafyllos Alexiadis, Olga Pagonopoulou, Christina-Angelika Alexiadi, Panagiota Bakatselou, Sadik Tzem Chousein Oglou, Grigorios Tripsianis, Achilleas Mitrakas, Maria Lambropoulou</copyright-statement>
        <license license-type="creative-commons-attribution" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <abstract>
        <label>Abstract</label>
        <p><bold>Introduction</bold>: Parvoviruses are DNA viruses of small size. There have been a number of reports indicating the possible effects of B19 infections during pregnancy. These effects include spontaneous abortions, stillbirth, fetal damage, and quite often, fetal anemia with hydrops fetalis.</p>
        <p><bold>Aim</bold>: The aim of this study was the correlation of Epstein-Barr virus (<abbrev xlink:title="Epstein-Barr virus" id="ABBRID0EJG">EBV</abbrev>) and parvovirus-B19 infections with inflammation levels in placental tissue coming from spontaneous abortions and elective terminations cases. We also investigated whether viral presence could cause spontaneous abortions by associating the expression levels of inflammatory markers with adverse pregnancy outcomes.</p>
        <p><bold>Materials and methods</bold>: One hundred ninety-four placental samples were used, 152 included in the study group coming from spontaneous abortions while 42 controls were used from cases of elective terminations. Hematoxylin and eosin (<abbrev xlink:title="Hematoxylin and eosin" id="ABBRID0ERG">H&amp;E</abbrev>) staining was performed to investigate morphological changes in the tissues, and then indirect immunohistochemistry to evaluate the expression of TNF-α, IL-6, IL-1α, B19, and <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0EVG">EBV</abbrev>. Statistical analysis was performed using SPSS v. 19.0 (IBM).</p>
        <p><bold>Results</bold>: Higher inflammation levels were observed with statistical significance in the spontaneous abortions group (<italic>p</italic>&lt;0.001) and they were correlated with statistical significance with B19 or <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0E6G">EBV</abbrev> presence (<italic>p</italic>&lt;0.001). Viral presence was only found in the spontaneous abortions group. Both simple and multiple logistic regression confirmed that viral presence was an independent prognostic factor for high expression of all inflammatory biomarkers with statistical significance (<italic>p</italic>&lt;0.001).</p>
        <p><bold>Conclusions</bold>: Our results clearly indicate a specific pattern. Viral presence can deregulate inflammatory processes in the maternal-fetal environment and thus work as a trigger for spontaneous abortions.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>B19</kwd>
        <kwd>EBV</kwd>
        <kwd>pregnancy</kwd>
        <kwd>spontaneous abortion</kwd>
        <kwd>virus</kwd>
      </kwd-group>
    </article-meta>
    <notes>
      <sec sec-type="Citation" id="SECID0ETH">
        <title>Citation</title>
        <p>Papadatou V, Tologkos S, Deftereou T, Alexiadis T, Pagonopoulou O, Alexiadi C-A, Bakatselou P, Oglou STC, Tripsianis G, Mitrakas A, Lambropoulou M. Viral-induced inflammation can lead to adverse pregnancy outcomes. Folia Med (Plovdiv) 2023;65(5):744-752. doi: <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.3897/folmed.65.e90054">10.3897/folmed.65.e90054</ext-link>.</p>
      </sec>
    </notes>
  </front>
  <body>
    <sec sec-type="Introduction" id="SECID0EAAAC">
      <title>Introduction</title>
      <p>Parvoviruses are DNA viruses of small size. There have been a number of reports indicating the possible effects of B19 infections during pregnancy. These effects include spontaneous abortions, stillbirth, fetal damage, and quite often, fetal anemia with hydrops fetalis.<sup>[<xref ref-type="bibr" rid="B1 B2 B3 B4 B5">1–5</xref>]</sup> Parvovirus B19 infects mostly erythroid progenitor and myocardial cells, as well as the placental trophoblast and the fetal liver.<sup>[<xref ref-type="bibr" rid="B6">6</xref>]</sup> Infection from parvovirus B19 is globally present, infections peak throughout the spring months, while epidemics of a larger scale tend to occur on a 4-year cycle.<sup>[<xref ref-type="bibr" rid="B7">7</xref>]</sup> As far as pregnant women are concerned, the rate of infection is relatively low and changes from place to place; however, during epidemics, the incidence can rise up to higher than 10%.<sup>[<xref ref-type="bibr" rid="B8">8</xref>,<xref ref-type="bibr" rid="B9">9</xref>]</sup> Considering the above-mentioned findings, we can conclude that 20-50% of women of childbearing age had no contact with the virus, thus do not possess IgG specific-antibodies against B19V.<sup>[<xref ref-type="bibr" rid="B10 B11 B12">10–12</xref>]</sup> In the case of maternal infection, there is a high probability of fetal transmission of the virus, which can in turn cause adverse pregnancy outcomes<sup>[<xref ref-type="bibr" rid="B13">13</xref>,<xref ref-type="bibr" rid="B14">14</xref>]</sup> such as hydrops fetalis (<abbrev xlink:title="hydrops fetalis" id="ABBRID0EYBAC">HF</abbrev>)<sup>[<xref ref-type="bibr" rid="B15">15</xref>,<xref ref-type="bibr" rid="B16">16</xref>]</sup>. The Epstein-Barr virus (<abbrev xlink:title="Epstein-Barr virus" id="ABBRID0EHCAC">EBV</abbrev>) belongs to the herpes family, which comprises 9 viruses in total. <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0ELCAC">EBV</abbrev> is one of the most common viruses in humans. The virus has been linked to a variety of diseases with the most known being infectious mononucleosis.<sup>[<xref ref-type="bibr" rid="B17 B18 B19">17–19</xref>]</sup> Transmission of the virus usually occurs through saliva but can also be transmitted through genital fluids.<sup>[<xref ref-type="bibr" rid="B20">20</xref>]</sup> Concerning congenital <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0E4CAC">EBV</abbrev> infection, both the reactivation<sup>[<xref ref-type="bibr" rid="B21">21</xref>]</sup> and primary infection with <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0EIDAC">EBV</abbrev> have been shown to cause fetal and neonatal disease, as it has been proven that both viruses show tropism for placental trophoblasts. However, there is a shortage of information about how <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0EMDAC">EBV</abbrev> affects pregnancy outcomes, and its correlation with spontaneous abortions.<sup>[<xref ref-type="bibr" rid="B22">22</xref>,<xref ref-type="bibr" rid="B23">23</xref>]</sup> Pregnancy was considered as an anti-inflammatory response through the years, but later studies have shown that it actually is a process with distinct immunological stages.<sup>[<xref ref-type="bibr" rid="B24 B25 B26">24–26</xref>]</sup> So, the early stages of pregnancy (implantation and placentation) through the first and the early second trimester are considered pro-inflammatory, while the rest of the pregnancy up until the delivery is characterized as an anti-inflammatory state. Lastly, labor onset is also a process mediated by another inflammatory reaction.<sup>[<xref ref-type="bibr" rid="B27 B28 B29 B30">27–30</xref>]</sup></p>
    </sec>
    <sec sec-type="Aim" id="SECID0EIEAC">
      <title>Aim</title>
      <p>Our aim was to correlate Epstein-Barr virus (<abbrev xlink:title="Epstein-Barr virus" id="ABBRID0EOEAC">EBV</abbrev>) and parvovirus-B19 infection with inflammation levels in placental samples coming from spontaneous abortions, ﻿indicating that the overexpression of inflammatory proteins triggered by the viral presence can lead to an adverse pregnancy outcome.</p>
    </sec>
    <sec sec-type="materials|methods" id="SECID0ESEAC">
      <title>Materials and methods</title>
      <sec sec-type="Samples" id="SECID0EWEAC">
        <title>Samples</title>
        <p>We used 152 placental samples from spontaneous abortions and intrauterine deaths from all three trimesters as a study group and 42 samples coming from pregnancy terminations in first and second trimesters of seemingly healthy fetuses as a control group.</p>
        <p>All histological samples came from the archive of the Laboratory of Histology and Embryology of Democritus University of Thrace.</p>
      </sec>
      <sec sec-type="Staining" id="SECID0E3EAC">
        <title>Staining</title>
        <p>According to the standard histological protocol, all samples were fixed in 10% buffered formalin and embedded in paraffin. 3-μm hematoxylin-eosin-stained sections were histopathologically examined. Serial sections from each case were deparaffinized, rehydrated, and treated with 0.3% H<sub>2</sub>O<sub>2</sub>. Immunohistochemical staining was performed using the following antibodies: anti-IL-1α (Santa Cruz, Texas, USA-Mouse Monoclonal, 1:200), anti-IL-6 (Santa Cruz, Texas, USA, Rabbit Polyclonal, dilution 1:500), anti-TNF-α (Acris, Herford, Germany, Rabbit Polyclonal, 1:200), anti-B19 (Dako, Glostrup, Denmark, Rabbit Polyclonal, 1:200 dilution, specific for the VP2 protein) and anti-<abbrev xlink:title="Epstein-Barr virus" id="ABBRID0EGFAC">EBV</abbrev> (Dako, Glostrup, Denmark, Rabbit Polyclonal, 1:150 dilution, specific for the LMP protein) and was visualized by the peroxidase method (Envision System, DAKO, Carpinteria, CA, USA) using EnVisionTM FLEX diaminobenzidine (<abbrev xlink:title="diaminobenzidine" id="ABBRID0EKFAC">DAB</abbrev>) chromogen.</p>
      </sec>
      <sec sec-type="Immunohistochemical evaluation" id="SECID0EOFAC">
        <title>Immunohistochemical evaluation</title>
        <p>All samples were studied using a Nikon Eclipse 50i microscope with an integrated camera Nikon Digital Sight DS-L1 (Nikon Corporation, Tokyo, Japan). From each histological section, 5 high-power fields were randomly chosen. Evaluation of antibody expression was performed using a semi-quantitative system, where no expression was valued as 0 (&lt;10% stained cells), low expression (10-30%) as 1 medium (30-70%) and high expression (&gt;70%) as 2 and 3, respectively.</p>
      </sec>
      <sec sec-type="Statistical analysis" id="SECID0ETFAC">
        <title>Statistical analysis</title>
        <p>Statistical analysis of our data was performed using SPSS v. 19.0 (IBM). Qualitative characteristics of the patients were expressed as absolute and relative frequencies (%), while quantitative variables were expressed as median values ±1 standard deviation (<abbrev xlink:title="standard deviation" id="ABBRID0EZFAC">SD</abbrev>). Investigation of the correlation between expressions of the tested markers with patient characteristics was performed using chi-square test. Evaluation of the possibility for positive expression of TNF-α, IL-1α, IL-6, B19, and <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0E4FAC">EBV</abbrev> was done through calculation of Odds Ratio (<abbrev xlink:title="Odds Ratio" id="ABBRID0EBGAC">OR</abbrev>) and the corresponding 95% confidence intervals (<abbrev xlink:title="confidence intervals" id="ABBRID0EFGAC">CI</abbrev>) through simple logistic regression models. Investigation of independent prognostic factors for positive expression of the tested markers was performed using a multiple logistic regression test. All statistical tests were bilateral and the results were considered statistically significant for <italic>p</italic>&lt;0.05.</p>
      </sec>
    </sec>
    <sec sec-type="Results" id="SECID0ELGAC">
      <title>Results</title>
      <p>Staining results are shown in <bold>Fig. <xref ref-type="fig" rid="F1">1</xref></bold>.</p>
      <fig id="F1" position="float" orientation="portrait">
        <object-id content-type="arpha">1A3E5FB8-9781-5821-94B9-664ECA9DB8B7</object-id>
        <label>Figure 1.</label>
        <caption>
          <p><bold>A</bold>. H&amp;E staining in placental tissue coming from spontaneous abortions. Nuclear inclusion bodies indicated by arrows (×200); <bold>B</bold>. B19 positive IHC staining in placental tissue coming from spontaneous abortion indicated by arrow (×400); <bold>C</bold>. <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0EFHAC">EBV</abbrev> positive IHC staining in placental tissue coming from spontaneous abortion indicated by arrows (×400); <bold>D</bold>. High expression of IL-6 IHC staining in placental tissue coming from spontaneous abortion (×200); <bold>E</bold>. High expression of IL-1α IHC staining in placental tissue coming from spontaneous abortion (×200); <bold>F</bold>. Moderate expression of TNF-α IHC staining in placental tissue coming from spontaneous abortion (×200); <bold>G</bold>. Negative marker in IHC staining (×200).</p>
        </caption>
        <graphic xlink:href="foliamedica-65-5-e90054-g001.jpg" position="float" orientation="portrait" xlink:type="simple" id="oo_929276.jpg">
          <uri content-type="original_file">https://binary.pensoft.net/fig/929276</uri>
        </graphic>
      </fig>
      <p>The characteristics of the patient groups as well as expression levels of each inflammatory marker in the two groups are shown in <bold>Table <xref ref-type="table" rid="T1">1</xref></bold>.</p>
      <table-wrap id="T1" position="float" orientation="portrait">
        <label>Table 1.</label>
        <caption>
          <p>Comparison of the demographic and clinical characteristics between the two sample groups</p>
        </caption>
        <table id="TID0E6KAE" rules="all">
          <tbody>
            <tr>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="2">
                <bold>Groups</bold>
              </td>
              <td rowspan="2" colspan="1">
                <bold><italic>P</italic> value</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">
                <bold>Control</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Study</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>Age</bold>
              </td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">0.908</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">&lt;25</td>
              <td rowspan="1" colspan="1">13 (31.0)</td>
              <td rowspan="1" colspan="1">44 (28.9)</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">26-34</td>
              <td rowspan="1" colspan="1">18 (42.9)</td>
              <td rowspan="1" colspan="1">63 (41.4)</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">≥35</td>
              <td rowspan="1" colspan="1">11 (26.2)</td>
              <td rowspan="1" colspan="1">45 (29.6)</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>Trimester</bold>
              </td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">&lt;0.001</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">1st</td>
              <td rowspan="1" colspan="1">30 (71.4)</td>
              <td rowspan="1" colspan="1">51 (33.6)</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">2nd</td>
              <td rowspan="1" colspan="1">12 (28.6)</td>
              <td rowspan="1" colspan="1">58 (3 28.2)</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">3rd</td>
              <td rowspan="1" colspan="1">0 (0.0)</td>
              <td rowspan="1" colspan="1">43 (28.3)</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>Sex</bold>
              </td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">0.203</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Male</td>
              <td rowspan="1" colspan="1">24 (57.1)</td>
              <td rowspan="1" colspan="1">70 (46.1)</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Female</td>
              <td rowspan="1" colspan="1">18 (42.9)</td>
              <td rowspan="1" colspan="1">82 (53.9)</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>Β19</bold>
              </td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">0.080</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Negative</td>
              <td rowspan="1" colspan="1">42 (100.0)</td>
              <td rowspan="1" colspan="1">142 (93.4)</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Positive</td>
              <td rowspan="1" colspan="1">0 (0.0)</td>
              <td rowspan="1" colspan="1">10 (6.6)</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>
                  <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0EVPAC">EBV</abbrev>
                </bold>
              </td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">0.106</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Negative</td>
              <td rowspan="1" colspan="1">42 (100.0)</td>
              <td rowspan="1" colspan="1">142 (93.4)</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Positive</td>
              <td rowspan="1" colspan="1">0 (0.0)</td>
              <td rowspan="1" colspan="1">9 (5.9)</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>IL-6 expression</bold>
              </td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">
                <bold>&lt;0.001</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Negative</td>
              <td rowspan="1" colspan="1">27 (64.3)</td>
              <td rowspan="1" colspan="1">7 (4.6)</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Low</td>
              <td rowspan="1" colspan="1">14 (33.3)</td>
              <td rowspan="1" colspan="1">53 (34.9)</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Medium</td>
              <td rowspan="1" colspan="1">1 (2.4)</td>
              <td rowspan="1" colspan="1">75 (49.3)</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">High</td>
              <td rowspan="1" colspan="1">0 (0.0)</td>
              <td rowspan="1" colspan="1">17 (11.2)</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>TNF-a expression</bold>
              </td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">
                <bold>&lt;0.001</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Negative</td>
              <td rowspan="1" colspan="1">30 (71.4)</td>
              <td rowspan="1" colspan="1">6 (3.9)</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Low</td>
              <td rowspan="1" colspan="1">11 (26.2)</td>
              <td rowspan="1" colspan="1">59 (38.8)</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Medium</td>
              <td rowspan="1" colspan="1">1 (2.4)</td>
              <td rowspan="1" colspan="1">70 (46.1)</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">High</td>
              <td rowspan="1" colspan="1">0 (0.0)</td>
              <td rowspan="1" colspan="1">17 (11.2)</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>IL-1a expression</bold>
              </td>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1"/>
              <td rowspan="1" colspan="1">
                <bold>&lt;0.001</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Negative</td>
              <td rowspan="1" colspan="1">33 (78.6)</td>
              <td rowspan="1" colspan="1">2 (1.3)</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Low</td>
              <td rowspan="1" colspan="1">8 (19.0)</td>
              <td rowspan="1" colspan="1">66 (43.4)</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Medium</td>
              <td rowspan="1" colspan="1">1 (2.4)</td>
              <td rowspan="1" colspan="1">65 (42.8)</td>
              <td rowspan="1" colspan="1"/>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">High</td>
              <td rowspan="1" colspan="1">0 (0.0)</td>
              <td rowspan="1" colspan="1">19 (12.5)</td>
              <td rowspan="1" colspan="1"/>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <sec sec-type="IL-6 expression in the study group compared to patient characteristics" id="SECID0ESHAE">
        <title>IL-6 expression in the study group compared to patient characteristics</title>
        <p>Correlation of IL-6 expression with clinical characteristics is shown in <bold>Table <xref ref-type="table" rid="T2">2</xref></bold>. Chi-square test showed that higher IL-6 expression correlated with statistical significance with higher maternal age (<italic>p</italic>=0.001), advanced stage of pregnancy (<italic>p</italic>=0.003), and with viral presence (<italic>p</italic>=0.001 for both viruses). High IL-6 expression (≥30%) in comparison with clinical characteristics is shown in <bold>Table <xref ref-type="table" rid="T2">2</xref></bold>. The chi-square test indicated that high expression of IL-6 was associated with higher age (&gt;35 yrs of age) (<italic>p</italic>=0.003). We also proved that positivity for <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0EMIAE">EBV</abbrev> or B19 greatly increased the possibility of high IL-6 expression, as we found 60% of B19 positive samples to have high IL-6 expression, while only 7.7% of the B19 negative samples showed high expression for the same marker (<italic>p</italic>&lt;0.001). The results were similar for <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0ESIAE">EBV</abbrev> presence, with 66.7% of positive samples also having high expression of IL-6 (<italic>p</italic>&lt;0.001). Simple logistic regression proved that positive IL-6 expression was 6.79 times more common in samples from patients who were over 35 years old (<abbrev xlink:title="Odds Ratio" id="ABBRID0EYIAE">OR</abbrev> 6.79, 95% <abbrev xlink:title="confidence intervals" id="ABBRID0E3IAE">CI</abbrev> 1.41-32.76, <italic>p</italic>=0.017), 30.80 times more common in B19 positive samples (<abbrev xlink:title="Odds Ratio" id="ABBRID0ECJAE">OR</abbrev> 30.80, 95% <abbrev xlink:title="confidence intervals" id="ABBRID0EGJAE">CI</abbrev> 6.89-137.69, <italic>p</italic>&lt;0.001), and 24 times more common in <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0EMJAE">EBV</abbrev> positive samples (<abbrev xlink:title="Odds Ratio" id="ABBRID0EQJAE">OR</abbrev> 24.00, 95% <abbrev xlink:title="confidence intervals" id="ABBRID0EUJAE">CI</abbrev> 5.27-109.32, <italic>p</italic>&lt;0.001). The multiple logistic regression test showed that the age of the mother (<italic>p</italic>=0.006), B19 (<italic>p</italic>&lt;0.001), and <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0E5JAE">EBV</abbrev> (<italic>p</italic>&lt;0.001) presence remained independent prognostic factors for high IL-6 expression. Positive IL-6 expression was shown to be 5.88 times more common in higher ages (adjusted <abbrev xlink:title="Odds Ratio" id="ABBRID0EEKAE">OR</abbrev> 5.88, 95% <abbrev xlink:title="confidence intervals" id="ABBRID0EIKAE">CI</abbrev> 1.68-20.66, <italic>p</italic>=0.006), 33.34 times more common in samples positive for B19 (adjusted <abbrev xlink:title="Odds Ratio" id="ABBRID0EOKAE">OR</abbrev> 33.34, 95% <abbrev xlink:title="confidence intervals" id="ABBRID0ESKAE">CI</abbrev> 6.42-173.22, <italic>p</italic>&lt;0.001), and 2.38 times more common in samples positive for <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0EYKAE">EBV</abbrev> (adjusted <abbrev xlink:title="Odds Ratio" id="ABBRID0E3KAE">OR</abbrev> 22.38, 95% <abbrev xlink:title="confidence intervals" id="ABBRID0EALAE">CI</abbrev> 4.06-123.29, <italic>p</italic>&lt;0.001) <bold>(Table <xref ref-type="table" rid="T2">2</xref>)</bold>.</p>
        <table-wrap id="T2" position="float" orientation="portrait">
          <label>Table 2.</label>
          <caption>
            <p>Levels of IL-6 expression in the study group in comparison with clinical parameters. High IL-6 expression is associated with the demographic and clinical characteristics of the study group</p>
          </caption>
          <table id="TID0EXBAG" rules="all">
            <tbody>
              <tr>
                <td rowspan="2" colspan="1"/>
                <td rowspan="1" colspan="4">
                  <bold>IL-6 expression</bold>
                </td>
                <td rowspan="2" colspan="3">
                  <bold><italic>p</italic>-value</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Negative</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>Low</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>Medium</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>High</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Age</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="3">
                  <bold>0.001</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">&lt;25</td>
                <td rowspan="1" colspan="1">4 (9.1)</td>
                <td rowspan="1" colspan="1">23 (52.3)</td>
                <td rowspan="1" colspan="1">15 (34.1)</td>
                <td rowspan="1" colspan="1">2 (4.5)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">26-34</td>
                <td rowspan="1" colspan="1">3 (4.8)</td>
                <td rowspan="1" colspan="1">21 (33.3)</td>
                <td rowspan="1" colspan="1">35 (55.6)</td>
                <td rowspan="1" colspan="1">4 (6.3)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">≥35</td>
                <td rowspan="1" colspan="1">0 (0.0)</td>
                <td rowspan="1" colspan="1">9 (20.0)</td>
                <td rowspan="1" colspan="1">25 (55.6)</td>
                <td rowspan="1" colspan="1">11 (24.4)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Trimester</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="3">
                  <bold>0.003</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">1st</td>
                <td rowspan="1" colspan="1">6 (11.8)</td>
                <td rowspan="1" colspan="1">25 (49.0)</td>
                <td rowspan="1" colspan="1">16 (31.4)</td>
                <td rowspan="1" colspan="1">4 (7.8)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">2nd</td>
                <td rowspan="1" colspan="1">1 (1.7)</td>
                <td rowspan="1" colspan="1">15 (25.9)</td>
                <td rowspan="1" colspan="1">36 (62.1)</td>
                <td rowspan="1" colspan="1">6 (10.3)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">3rd</td>
                <td rowspan="1" colspan="1">0 (0.0)</td>
                <td rowspan="1" colspan="1">13 (30.2)</td>
                <td rowspan="1" colspan="1">23 (53.5)</td>
                <td rowspan="1" colspan="1">7 (16.3)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Sex</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="3">
                  <bold>0.795</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Male</td>
                <td rowspan="1" colspan="1">3 (4.3)</td>
                <td rowspan="1" colspan="1">26 (37.1)</td>
                <td rowspan="1" colspan="1">35 (50.0)</td>
                <td rowspan="1" colspan="1">6 (8.6)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Female</td>
                <td rowspan="1" colspan="1">4 (4.9)</td>
                <td rowspan="1" colspan="1">27 (32.9)</td>
                <td rowspan="1" colspan="1">40 (48.8)</td>
                <td rowspan="1" colspan="1">11 (13.4)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Β19</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="3">
                  <bold>&lt;0.001</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Negative</td>
                <td rowspan="1" colspan="1">7 (4.9)</td>
                <td rowspan="1" colspan="1">53 (37.3)</td>
                <td rowspan="1" colspan="1">72 (50.7)</td>
                <td rowspan="1" colspan="1">10 (7.0)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Positive</td>
                <td rowspan="1" colspan="1">0 (0.0)</td>
                <td rowspan="1" colspan="1">0 (0.0)</td>
                <td rowspan="1" colspan="1">3 (30.0)</td>
                <td rowspan="1" colspan="1">7 (70.0)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>
                    <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0EJYAE">EBV</abbrev>
                  </bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="3">
                  <bold>&lt;0.001</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Negative</td>
                <td rowspan="1" colspan="1">7 (4.9)</td>
                <td rowspan="1" colspan="1">53 (37.3)</td>
                <td rowspan="1" colspan="1">72 (50.7)</td>
                <td rowspan="1" colspan="1">11 (7.7)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Positive</td>
                <td rowspan="1" colspan="1">0 (0.0)</td>
                <td rowspan="1" colspan="1">0 (0.0)</td>
                <td rowspan="1" colspan="1">3 (33.3)</td>
                <td rowspan="1" colspan="1">6 (66.7)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="6">
                  <bold>Presence of high IL-6 expression</bold>
                </td>
                <td rowspan="2" colspan="1">
                  <bold><italic>p</italic>-value</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">
                  <bold>No (%)</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold><italic>p</italic>-value</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>cOR (95% <abbrev xlink:title="confidence intervals" id="ABBRID0E42AE">CI</abbrev>)</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold><italic>p</italic>-value</bold>
                </td>
                <td rowspan="1" colspan="2">
                  <bold>aOR (95% <abbrev xlink:title="confidence intervals" id="ABBRID0ER3AE">CI</abbrev>)</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Age</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">
                  <bold>0.003</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">&lt;25</td>
                <td rowspan="1" colspan="1">2 (4.5)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">Ref.</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="2" colspan="2">Ref.</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">26-34</td>
                <td rowspan="1" colspan="1">4 (6.3)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">1.42 (0.25-8.14)</td>
                <td rowspan="1" colspan="1">0.691</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">≥35</td>
                <td rowspan="1" colspan="1">11 (24.4)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">6.79 (1.41-32.76)</td>
                <td rowspan="1" colspan="1">0.017</td>
                <td rowspan="1" colspan="2">5.88 (1.68-20.66)</td>
                <td rowspan="1" colspan="1">0.006</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Trimester</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">0.419</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">1st</td>
                <td rowspan="1" colspan="1">4 (7.8)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">Ref.</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2">-</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">2nd</td>
                <td rowspan="1" colspan="1">6 (10.3)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">1.36 (0.36-5.10)</td>
                <td rowspan="1" colspan="1">0.653</td>
                <td rowspan="1" colspan="2">-</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">3rd</td>
                <td rowspan="1" colspan="1">7 (16.3)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">2.29 (0.62-8.41)</td>
                <td rowspan="1" colspan="1">0.214</td>
                <td rowspan="1" colspan="2">-</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Sex</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">0.345</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Male</td>
                <td rowspan="1" colspan="1">8 (8.6)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">Ref.</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2">-</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Female</td>
                <td rowspan="1" colspan="1">11 (13.4)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">1.65 (0.58-4.73)</td>
                <td rowspan="1" colspan="1">0.349</td>
                <td rowspan="1" colspan="2">-</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Β19</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">
                  <bold>&lt;0.001</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Negative</td>
                <td rowspan="1" colspan="1">11 (7.7)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">Ref.</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2">Ref.</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Positive</td>
                <td rowspan="1" colspan="1">6 (60.0)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">30.80 (6.89-137.69)</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="2">33.34 (6.42-173.22)</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>
                    <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0EAHAG">EBV</abbrev>
                  </bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">
                  <bold>&lt;0.001</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Negative</td>
                <td rowspan="1" colspan="1">11 (7.7)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">Ref.</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2">Ref.</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Positive</td>
                <td rowspan="1" colspan="1">6 (66.7)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">24 (5.27-109.32)</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="2">22.38 (4.06-23.29)</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn>
              <p>cOR: crude odds ratio; aOR: adjusted odds ratio; <abbrev xlink:title="confidence intervals" id="ABBRID0EJJAG">CI</abbrev>: confidence interval</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec sec-type="IL-1α expression in the study group compared to patient characteristics" id="SECID0ENJAG">
        <title>IL-1α expression in the study group compared to patient characteristics</title>
        <p>Correlation of IL-1α expression and clinical characteristics is shown in <bold>Table <xref ref-type="table" rid="T3">3</xref></bold>. The chi-square test showed that higher IL-1α expression was statistically correlated with higher age of the mother (<italic>p</italic>=0.03) and viral presence (<italic>p</italic>&lt;0.001 for both viruses). Moreover, high expression of IL-1α (≥30%) was correlated with clinical characteristics <bold>(Table <xref ref-type="table" rid="T3">3</xref>)</bold>. Using chi-square test, we found that high IL-1α expression was found with statistical significance more frequently in <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0EEKAG">EBV</abbrev> or B19 positive samples (70% of them had high IL-1α expression, <italic>p</italic>&lt;0.001). Simple logistic regression showed that IL-1α high expression was 13.91 more common in women of higher age (<abbrev xlink:title="Odds Ratio" id="ABBRID0EKKAG">OR</abbrev> 13.91, 95% <abbrev xlink:title="confidence intervals" id="ABBRID0EOKAG">CI</abbrev> 1.71-113.15, <italic>p</italic>=0.014), 47.64 times more common in samples positive for B19 (<abbrev xlink:title="Odds Ratio" id="ABBRID0EUKAG">OR</abbrev> 47.64, 95% <abbrev xlink:title="confidence intervals" id="ABBRID0EYKAG">CI</abbrev> 8.99-252.34, <italic>p</italic>&lt;0.001), and 38.21 times more common in samples positive for <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0E5KAG">EBV</abbrev> (<abbrev xlink:title="Odds Ratio" id="ABBRID0ECLAG">OR</abbrev> 38.21, 95% <abbrev xlink:title="confidence intervals" id="ABBRID0EGLAG">CI</abbrev> 7.12-204.80, <italic>p</italic>&lt;0.001). Finally, multiple logistic regression indicated that higher age (<italic>p</italic>=0.019), B19, and <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0EOLAG">EBV</abbrev> presence (<italic>p</italic>&lt;0.001) remained independent prognostic factors for high IL-1α expression increasing the risk by 4.16 times (adjusted <abbrev xlink:title="Odds Ratio" id="ABBRID0EULAG">OR</abbrev> 3.34, 95% <abbrev xlink:title="confidence intervals" id="ABBRID0EYLAG">CI</abbrev> 1.27-13.68, <italic>p</italic>=0.019), 49.16 times (adjusted <abbrev xlink:title="Odds Ratio" id="ABBRID0E5LAG">OR</abbrev> 49.16, 95% <abbrev xlink:title="confidence intervals" id="ABBRID0ECMAG">CI</abbrev> 8.52-283.75, <italic>p</italic>&lt;0.001), and 44.25 times (adjusted <abbrev xlink:title="Odds Ratio" id="ABBRID0EIMAG">OR</abbrev> 44.25, 95% <abbrev xlink:title="confidence intervals" id="ABBRID0EMMAG">CI</abbrev> 7.70-254.32, <italic>p</italic>&lt;0.001), respectively <bold>(Table <xref ref-type="table" rid="T3">3</xref>)</bold>.</p>
        <table-wrap id="T3" position="float" orientation="portrait">
          <label>Table 3.</label>
          <caption>
            <p>Levels of IL-1α expression in comparison with clinical parameters. High IL-1α expression is associated with the demographic and clinical characteristics of the patients in the study group</p>
          </caption>
          <table id="TID0E6IBG" rules="all">
            <tbody>
              <tr>
                <td rowspan="2" colspan="1"/>
                <td rowspan="1" colspan="4">
                  <bold>IL-1α expression</bold>
                </td>
                <td rowspan="2" colspan="2">
                  <bold><italic>p</italic>-value</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Negative</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>Low</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>Medium</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>High</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Age</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">
                  <bold>0.030</bold>
                </td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">&lt;25</td>
                <td rowspan="1" colspan="1">1 (2.3)</td>
                <td rowspan="1" colspan="1">18 (40.9)</td>
                <td rowspan="1" colspan="1">24 (54.5)</td>
                <td rowspan="1" colspan="1">1 (2.3)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">26-34</td>
                <td rowspan="1" colspan="1">1 (1.6)</td>
                <td rowspan="1" colspan="1">32 (50.8)</td>
                <td rowspan="1" colspan="1">23 (36.5)</td>
                <td rowspan="1" colspan="1">7 (11.1)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">≥35</td>
                <td rowspan="1" colspan="1">0 (0.0)</td>
                <td rowspan="1" colspan="1">16 (35.6)</td>
                <td rowspan="1" colspan="1">18 (40.0)</td>
                <td rowspan="1" colspan="1">11 (24.4)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Trimester</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2">0.462</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">1st</td>
                <td rowspan="1" colspan="1">1 (2.0)</td>
                <td rowspan="1" colspan="1">25 (49.0)</td>
                <td rowspan="1" colspan="1">20 (39.2)</td>
                <td rowspan="1" colspan="1">5 (9.8)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">2nd</td>
                <td rowspan="1" colspan="1">1 (1.7)</td>
                <td rowspan="1" colspan="1">27 (46.6)</td>
                <td rowspan="1" colspan="1">21 (36.2)</td>
                <td rowspan="1" colspan="1">9 (15.5)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">3rd</td>
                <td rowspan="1" colspan="1">0 (0.0)</td>
                <td rowspan="1" colspan="1">14 (32.6)</td>
                <td rowspan="1" colspan="1">24 (55.8)</td>
                <td rowspan="1" colspan="1">5 (11.6)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Sex</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2">0.301</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Male</td>
                <td rowspan="1" colspan="1">0 (0.0)</td>
                <td rowspan="1" colspan="1">35 (50.0)</td>
                <td rowspan="1" colspan="1">27 (38.6)</td>
                <td rowspan="1" colspan="1">8 (11.4)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Female</td>
                <td rowspan="1" colspan="1">2 (2.4)</td>
                <td rowspan="1" colspan="1">31 (37.8)</td>
                <td rowspan="1" colspan="1">38 (46.3)</td>
                <td rowspan="1" colspan="1">11 (13.4)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Β19</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2">
                  <bold>&lt;0.001</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Negative</td>
                <td rowspan="1" colspan="1">2 (1.4)</td>
                <td rowspan="1" colspan="1">65 (45.8)</td>
                <td rowspan="1" colspan="1">64 (45.1)</td>
                <td rowspan="1" colspan="1">11 (7.7)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Positive</td>
                <td rowspan="1" colspan="1">0 (0.0)</td>
                <td rowspan="1" colspan="1">1 (10.0)</td>
                <td rowspan="1" colspan="1">1 (10.0)</td>
                <td rowspan="1" colspan="1">8 (80.0)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>
                    <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0EUYAG">EBV</abbrev>
                  </bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2">
                  <bold>&lt;0.001</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Negative</td>
                <td rowspan="1" colspan="1">2 (1.4)</td>
                <td rowspan="1" colspan="1">66 (46.2)</td>
                <td rowspan="1" colspan="1">64 (44.1)</td>
                <td rowspan="1" colspan="1">12 (8.4)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Positive</td>
                <td rowspan="1" colspan="1">0 (0.0)</td>
                <td rowspan="1" colspan="1">0 (0.0)</td>
                <td rowspan="1" colspan="1">2 (22.2)</td>
                <td rowspan="1" colspan="1">7 (77.8)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="5">
                  <bold>Presence of high IL-1a expression</bold>
                </td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">
                  <bold>No (%)</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold><italic>p</italic>-value</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>cOR (95% <abbrev xlink:title="confidence intervals" id="ABBRID0E32AG">CI</abbrev>)</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold><italic>p</italic>-value</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>aOR (95% <abbrev xlink:title="confidence intervals" id="ABBRID0EQ3AG">CI</abbrev>)</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold><italic>p</italic>-value</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Age</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">
                  <bold>0.006</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">&lt;25</td>
                <td rowspan="1" colspan="1">1 (2.3)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">Ref.</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="2" colspan="1">Ref.</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">26-34</td>
                <td rowspan="1" colspan="1">7 (11.1)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">5.38 (0.64-45.35)</td>
                <td rowspan="1" colspan="1">0.122</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">≥35</td>
                <td rowspan="1" colspan="1">11 (24.4)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">13.91 (1.71-113.15)</td>
                <td rowspan="1" colspan="1">0.014</td>
                <td rowspan="1" colspan="1">4.16 (1.27-13.68)</td>
                <td rowspan="1" colspan="1">0.019</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Trimester</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">0.419</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">1st</td>
                <td rowspan="1" colspan="1">4 (7.8)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">Ref.</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">-</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">2nd</td>
                <td rowspan="1" colspan="1">6 (10.3)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">1.69 (0.53-5.42)</td>
                <td rowspan="1" colspan="1">0.377</td>
                <td rowspan="1" colspan="1">-</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">3rd</td>
                <td rowspan="1" colspan="1">7 (16.3)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">1.21 (0.33-4.50)</td>
                <td rowspan="1" colspan="1">0.775</td>
                <td rowspan="1" colspan="1">-</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Sex</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">0.712</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Male</td>
                <td rowspan="1" colspan="1">8 (11.4)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">Ref.</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">-</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Female</td>
                <td rowspan="1" colspan="1">11 (13.4)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">1.20 (0.45-3.18)</td>
                <td rowspan="1" colspan="1">0.712</td>
                <td rowspan="1" colspan="1">-</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Β19</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Negative</td>
                <td rowspan="1" colspan="1">12 (8.5)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">Ref.</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">Ref.</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Positive</td>
                <td rowspan="1" colspan="1">7 (70.0)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">47.64 (8.99-252.34)</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="1">49.16 (8.52-283.75)</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>
                    <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0EBHBG">EBV</abbrev>
                  </bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">
                  <bold>&lt;0.001</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Negative</td>
                <td rowspan="1" colspan="1">12 (8.4)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">Ref.</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">Ref.</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Positive</td>
                <td rowspan="1" colspan="1">7 (77.8)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">38.12 (7.11-204.80)</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="1">44.25 (7.70-254.32)</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn>
              <p>cOR: crude odds ratio; aOR: adjusted odds ratio; <abbrev xlink:title="confidence intervals" id="ABBRID0EKJBG">CI</abbrev>: confidence interval</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec sec-type="TNF-α expression in the study group compared to patient characteristics" id="SECID0EOJBG">
        <title>TNF-<italic>α</italic> expression in the study group compared to patient characteristics</title>
        <p>Correlation of TNF-α expression with clinical characteristics is shown in <bold>Table <xref ref-type="table" rid="T4">4</xref></bold>. The chi-square test revealed that higher TNF-α expression was linked with advanced stages of pregnancy (<italic>p</italic>=0.016) and viral presence (p=0.001 for both viruses) with statistical significance. High TNF-α (≥30%) expression was then correlated with patients’ characteristics as shown in <bold>Table <xref ref-type="table" rid="T4">4</xref></bold>. The chi-square test showed that 80% of B19 positive samples showed high TNF-α expression, while the same happened only in 5.3% of B19 negative samples. This indicates that high TNF-α expression is more common in samples positive for B19 infection with statistical significance (<italic>p</italic>=0.005). Results were the same for <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0EHKBG">EBV</abbrev> infection as well, with 77.8% of positive samples having high TNF-α expression (<italic>p</italic>&lt;0.001). Simple logistic regression showed that positive TNF-α expression was 59.11 times more common in B19 positive samples (<abbrev xlink:title="Odds Ratio" id="ABBRID0ENKBG">OR</abbrev> 59.11, 95% <abbrev xlink:title="confidence intervals" id="ABBRID0ERKBG">CI</abbrev> 10.90-320.40, <italic>p</italic>&lt;0.001), and 46.55 times more common in <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0EXKBG">EBV</abbrev> positive samples (<abbrev xlink:title="Odds Ratio" id="ABBRID0E2KBG">OR</abbrev> 46.55, 95% <abbrev xlink:title="confidence intervals" id="ABBRID0E6KBG">CI</abbrev> 8.52-254.25, <italic>p</italic>&lt;0.001). Multiple logistic regression proved viral presence as an independent prognostic factor for high (≥30%) TNF-α expression (<italic>p</italic>&lt;0.001 for both viruses). To be exact, B19 raised the probability for positive TNF-α expression by 55.08 times (adjusted <abbrev xlink:title="Odds Ratio" id="ABBRID0EHLBG">OR</abbrev> 55.08, 95% <abbrev xlink:title="confidence intervals" id="ABBRID0ELLBG">CI</abbrev> 10.04-302.25, <italic>p</italic>&lt;0.001), while <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0ERLBG">EBV</abbrev> - by 42.38 times (<abbrev xlink:title="Odds Ratio" id="ABBRID0EVLBG">OR</abbrev> 42.38, 95% <abbrev xlink:title="confidence intervals" id="ABBRID0EZLBG">CI</abbrev> 7.39-242.97, <italic>p</italic>&lt;0.001) <bold>(Table <xref ref-type="table" rid="T4">4</xref>)</bold>.</p>
        <table-wrap id="T4" position="float" orientation="portrait">
          <label>Table 4.</label>
          <caption>
            <p>Levels of TNF-expression in comparison with clinical parameters. High TNF-α expression is associated with the demographic and clinical characteristics of the patients in the study group</p>
          </caption>
          <table id="TID0EYOAI" rules="all">
            <tbody>
              <tr>
                <td rowspan="2" colspan="1"/>
                <td rowspan="1" colspan="5">
                  <bold>TNF-α expression</bold>
                </td>
                <td rowspan="2" colspan="2">
                  <bold><italic>p</italic>-value</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Negative</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>Low</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>Medium</bold>
                </td>
                <td rowspan="1" colspan="2">
                  <bold>High</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Age</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2"/>
                <td rowspan="1" colspan="2">0.075</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">&lt;25</td>
                <td rowspan="1" colspan="1">4 (9.1)</td>
                <td rowspan="1" colspan="1">16 (36.4)</td>
                <td rowspan="1" colspan="1">21 (47.7)</td>
                <td rowspan="1" colspan="2">3 (6.8)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">26-34</td>
                <td rowspan="1" colspan="1">1 (1.6)</td>
                <td rowspan="1" colspan="1">31 (49.2)</td>
                <td rowspan="1" colspan="1">25 (39.7)</td>
                <td rowspan="1" colspan="2">6 (9.5)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">≥35</td>
                <td rowspan="1" colspan="1">1 (2.2)</td>
                <td rowspan="1" colspan="1">12 (26.7)</td>
                <td rowspan="1" colspan="1">24 (53.3)</td>
                <td rowspan="1" colspan="2">8 (17.8)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Trimester</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2"/>
                <td rowspan="1" colspan="2">
                  <bold>0.016</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">1st</td>
                <td rowspan="1" colspan="1">5 (9.8)</td>
                <td rowspan="1" colspan="1">25 (49.0)</td>
                <td rowspan="1" colspan="1">16 (31.4)</td>
                <td rowspan="1" colspan="2">5 (9.8)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">2nd</td>
                <td rowspan="1" colspan="1">1 (1.7)</td>
                <td rowspan="1" colspan="1">16 (27.6)</td>
                <td rowspan="1" colspan="1">32 (55.2)</td>
                <td rowspan="1" colspan="2">9 (15.5)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">3rd</td>
                <td rowspan="1" colspan="1">0 (0.0)</td>
                <td rowspan="1" colspan="1">18 (41.9)</td>
                <td rowspan="1" colspan="1">22 (51.2)</td>
                <td rowspan="1" colspan="2">3 (7.0)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Sex</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2"/>
                <td rowspan="1" colspan="2">0.721</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Male</td>
                <td rowspan="1" colspan="1">3 (4.3)</td>
                <td rowspan="1" colspan="1">26 (37.1)</td>
                <td rowspan="1" colspan="1">31 (44.3)</td>
                <td rowspan="1" colspan="2">10 (14.3)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Female</td>
                <td rowspan="1" colspan="1">3 (3.7)</td>
                <td rowspan="1" colspan="1">33 (40.2)</td>
                <td rowspan="1" colspan="1">39 (47.6)</td>
                <td rowspan="1" colspan="2">7 (8.5)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Β19</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2"/>
                <td rowspan="1" colspan="2">
                  <bold>&lt;0.001</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Negative</td>
                <td rowspan="1" colspan="1">6 (4.2)</td>
                <td rowspan="1" colspan="1">59 (41.5)</td>
                <td rowspan="1" colspan="1">68 (47.9)</td>
                <td rowspan="1" colspan="2">9 (6.3)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Positive</td>
                <td rowspan="1" colspan="1">0 (0.0)</td>
                <td rowspan="1" colspan="1">0 (0.0)</td>
                <td rowspan="1" colspan="1">2 (20.0)</td>
                <td rowspan="1" colspan="2">8 (80.0)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>
                    <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0E5XBG">EBV</abbrev>
                  </bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2"/>
                <td rowspan="1" colspan="2">
                  <bold>&lt;0.001</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Negative</td>
                <td rowspan="1" colspan="1">6 (4.2)</td>
                <td rowspan="1" colspan="1">59 (41.3)</td>
                <td rowspan="1" colspan="1">68 (47.6)</td>
                <td rowspan="1" colspan="2">10 (7.0)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Positive</td>
                <td rowspan="1" colspan="1">0 (0.0)</td>
                <td rowspan="1" colspan="1">0 (0.0)</td>
                <td rowspan="1" colspan="1">2 (22.2)</td>
                <td rowspan="1" colspan="2">7 (77.8)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="2" colspan="1"/>
                <td rowspan="1" colspan="6">
                  <bold>Presence of high TNF-a expression</bold>
                </td>
                <td rowspan="2" colspan="1">
                  <bold><italic>p</italic>-value</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>No (%)</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold><italic>p</italic>-value</bold>
                </td>
                <td rowspan="1" colspan="2">
                  <bold>cOR (95% <abbrev xlink:title="confidence intervals" id="ABBRID0EJ2BG">CI</abbrev>)</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold><italic>p</italic>-value</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>aOR (95% <abbrev xlink:title="confidence intervals" id="ABBRID0E42BG">CI</abbrev>)</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Age</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">0.224</td>
                <td rowspan="1" colspan="2"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">&lt;25</td>
                <td rowspan="1" colspan="1">3 (6.8)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2">Ref.</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">-</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">26-34</td>
                <td rowspan="1" colspan="1">6 (9.5)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2">1.44 (0.34-6.09)</td>
                <td rowspan="1" colspan="1">0.621</td>
                <td rowspan="1" colspan="1">-</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">≥35</td>
                <td rowspan="1" colspan="1">8 (17.8)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2">2.96 (0.73-11.98)</td>
                <td rowspan="1" colspan="1">0.129</td>
                <td rowspan="1" colspan="1">-</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Trimester</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">0.375</td>
                <td rowspan="1" colspan="2"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">1st</td>
                <td rowspan="1" colspan="1">5 (9.8)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2">Ref.</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">-</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">2nd</td>
                <td rowspan="1" colspan="1">9 (15.5)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2">1.69 (0.53-5.42)</td>
                <td rowspan="1" colspan="1">0.377</td>
                <td rowspan="1" colspan="1">-</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">3rd</td>
                <td rowspan="1" colspan="1">3 (7.0)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2">0.69 (0.16-3.07)</td>
                <td rowspan="1" colspan="1">0.626</td>
                <td rowspan="1" colspan="1">-</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Sex</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">0.262</td>
                <td rowspan="1" colspan="2"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Male</td>
                <td rowspan="1" colspan="1">10 (14.3)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2">Ref.</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">-</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Female</td>
                <td rowspan="1" colspan="1">7 (8.5)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2">0.56 (0.20-1.56)</td>
                <td rowspan="1" colspan="1">0.267</td>
                <td rowspan="1" colspan="1">-</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>Β19</bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">
                  <bold>0.005</bold>
                </td>
                <td rowspan="1" colspan="2"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Negative</td>
                <td rowspan="1" colspan="1">9 (6.3)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2">Ref.</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">Ref.</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Positive</td>
                <td rowspan="1" colspan="1">8 (80.0)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2">59.11 (10.90-320.40)</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="1">55.08 (10.04-302.25)</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>
                    <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0EMGAI">EBV</abbrev>
                  </bold>
                </td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">
                  <bold>&lt;0.001</bold>
                </td>
                <td rowspan="1" colspan="2"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Negative</td>
                <td rowspan="1" colspan="1">10 (7.0)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2">Ref.</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="1">Ref.</td>
                <td rowspan="1" colspan="1"/>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Positive</td>
                <td rowspan="1" colspan="1">7 (77.8)</td>
                <td rowspan="1" colspan="1"/>
                <td rowspan="1" colspan="2">46.55 (8.52-254.25)</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
                <td rowspan="1" colspan="1">42.38 (7.39-242.97)</td>
                <td rowspan="1" colspan="1">&lt;0.001</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn>
              <p>cOR: crude odds ratio; aOR: adjusted odds ratio; <abbrev xlink:title="confidence intervals" id="ABBRID0EVIAI">CI</abbrev>: confidence interval</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
    </sec>
    <sec sec-type="Discussion" id="SECID0EZIAI">
      <title>Discussion</title>
      <p>Spontaneous abortion is pregnancy loss before 20 weeks gestation.<sup>[<xref ref-type="bibr" rid="B31">31</xref>]</sup> The percentages of spontaneous abortions are considerably high, indicating a crucial need to better understand the underlying pathology. Until now, several pathologies including chromosomal or genetic abnormalities have been proven as causes of spontaneous abortions.<sup>[<xref ref-type="bibr" rid="B32">32</xref>]</sup> Spontaneous abortions have also been linked with a variety of bacterial infections.<sup>[<xref ref-type="bibr" rid="B33">33</xref>]</sup> In the present study, we aimed to correlate viral presence with higher levels of inflammation markers as well as with pregnancy outcome. At first, we investigated the inflammatory biomarkers expression in the two samples’ groups. Then we tried to indicate a possible association between viral presence and inflammatory biomarkers levels of expression in the spontaneous abortions group, in order to clarify the possible viral impact in the placental environment.</p>
      <p>Until now, many studies have investigated the expression of different inflammatory markers in the placenta and any possible linked adverse pregnancy outcome.<sup>[<xref ref-type="bibr" rid="B34">34</xref>,<xref ref-type="bibr" rid="B35">35</xref>]</sup> Here, for the first time, we study comparatively a triplet of inflammatory markers in placental samples coming from all three trimesters and we report a statistically significant correlation with viral presence. These results can safely establish a relationship between B19 and <abbrev xlink:title="Epstein-Barr virus" id="ABBRID0EBKAI">EBV</abbrev> presence and elevated levels of inflammatory activity in the placentas coming from spontaneous abortions or intrauterine deaths. Our results are in accordance with other published studies, which investigated various viruses like B19, CMV, and Coxsakie virus and their correlation with spontaneous abortions.<sup>[<xref ref-type="bibr" rid="B36 B37 B38">36–38</xref>]</sup> It is also well known that elevated inflammation activity has been linked to spontaneous abortions.<sup>[<xref ref-type="bibr" rid="B39 B40 B41">39–41</xref>]</sup> Elevated amniotic fluid levels of IL-6 and serum levels of IL-1α have been confirmed as a causal factor for various adverse pregnancy outcomes such as preterm birth and premature rapture of membranes.<sup>[<xref ref-type="bibr" rid="B42">42</xref>,<xref ref-type="bibr" rid="B43">43</xref>]</sup> Deregulation of TNF-α serum levels has been linked with recurring fetal loss, gestation diabetes, fetal growth restriction and more pregnancy complications.<sup>[<xref ref-type="bibr" rid="B44">44</xref>]</sup> In our study, we confirmed these results in placental samples as well, proving a deregulation of their molecular pathways in the fetal-maternal environment. When all this is considered, we can safely conclude that pregnancy is widely affected by inflammatory processes that subsequently are tightly modulated during that period. Our research showed that viral infections could cause a deregulation of inflammatory cytokine levels in the maternal-fetal environment, which in turn have been linked to numerous adverse pregnancy outcomes.</p>
    </sec>
    <sec sec-type="Conclusions" id="SECID0EFLAI">
      <title>Conclusions</title>
      <p>Viral infections during pregnancy can trigger inflammatory pathways leading to elevated pro-inflammatory cytokine levels. These cytokines have been linked to various pregnancy complications including spontaneous abortions. However, further research is needed in order to establish if viral infections affect other molecular pathways involved with adverse pregnancy outcomes.</p>
    </sec>
    <sec sec-type="Funding" id="SECID0EKLAI">
      <title>Funding</title>
      <p>The authors have no funding to report.</p>
    </sec>
    <sec sec-type="Competing interests" id="SECID0EPLAI">
      <title>Competing interests</title>
      <p>The authors have declared that no competing interests exist.</p>
    </sec>
    <sec sec-type="Acknowledgements" id="SECID0EULAI">
      <title>Acknowledgements</title>
      <p>The authors have no support to report.</p>
    </sec>
  </body>
  <back>
    <ref-list>
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