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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2021.659038</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Expression Analysis of Protein Inhibitor of Activated STAT in Inflammatory Demyelinating Polyradiculoneuropathy</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Ghafouri-Fard</surname>
<given-names>Soudeh</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1244274"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hussen</surname>
<given-names>Bashdar Mahmud</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1199912"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nicknafs</surname>
<given-names>Fwad</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nazer</surname>
<given-names>Naghme</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Sayad</surname>
<given-names>Arezou</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1052515"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Taheri</surname>
<given-names>Mohammad</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/712936"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Medical Genetics, Shahid Beheshti University of Medical Sciences</institution>, <addr-line>Tehran</addr-line>, <country>Iran</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Pharmacognosy Department, College of Pharmacy, Hawler Medical University</institution>, <addr-line>Erbil</addr-line>, <country>Iraq</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Electrical Engineering, Sharif University of Technology</institution>, <addr-line>Tehran</addr-line>, <country>Iran</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Skull Base Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences</institution>, <addr-line>Tehran</addr-line>, <country>Iran</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Poornima Paramasivan, Abertay University, United Kingdom</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Rezvan Noroozi, Jagiellonian University, Poland; Amin Safa, Complutense University of Madrid, Spain</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Arezou Sayad, <email xlink:href="mailto:ar.sayad@yahoo.com">ar.sayad@yahoo.com</email>; Mohammad Taheri, <email xlink:href="mailto:Mohammad_823@yahoo.com">Mohammad_823@yahoo.com</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Autoimmune and Autoinflammatory Disorders, a section of the journal Frontiers in Immunology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>05</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>659038</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>02</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>04</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Ghafouri-Fard, Hussen, Nicknafs, Nazer, Sayad and Taheri</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Ghafouri-Fard, Hussen, Nicknafs, Nazer, Sayad and Taheri</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Protein inhibitors of activated STAT (PIAS) are involved in the regulation of the JAK/STAT signaling pathway and have interactions with NF-&#x3ba;B, p73 and p53. These proteins regulate immune responses; therefore dysregulation in their expression leads to several immune-mediated disorders. In the present study, we examined expression of <italic>PIAS1</italic>-<italic>4</italic> in peripheral blood of patients with acute/chronic inflammatory demyelinating polyradiculoneuropathy (AIDP/CIDP) compared with healthy subjects. We demonstrated down-regulation of all <italic>PIAS</italic> genes in both AIDP and CIDP cases compared with controls. Similarly, comparisons in gender-based groups revealed down-regulation of these gene0s in patients of each gender compared with gender-matched controls. There was no significant difference in expression of <italic>PIAS</italic> genes between AIDP and CIDP cases. Based on the area under the receiver operating characteristic curves, <italic>PIAS1</italic>-<italic>4</italic> genes could distinguish between inflammatory demyelinating polyradiculoneuropathy and healthy status with accuracy values of 0.87, 0.87, 0.79 and 0.80, respectively. In differentiation between AIDP cases and healthy controls, these values were 0.92, 0.92, 0.83 and 0.86, respectively. Finally, <italic>PIAS1</italic>-<italic>4</italic> genes could discriminate CIDP from healthy status with accuracy values of 0.82, 0.83, 0.75 and 0.75, respectively. The current study underscores the role of <italic>PIAS</italic> genes in the pathogenesis of inflammatory demyelinating polyradiculoneuropathy and their potential usage as biomarkers.</p>
</abstract>
<kwd-group>
<kwd>protein inhibitor of activated STAT</kwd>
<kwd>PIAS</kwd>
<kwd>inflammatory demyelinating polyradiculoneuropathy</kwd>
<kwd>AIDP</kwd>
<kwd>CIDP</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="29"/>
<page-count count="8"/>
<word-count count="3386"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Being firstly recognized as the inhibitors of signal transducer and activator of transcription (STAT) proteins, the protein inhibitors of activated STAT (PIAS) are involved in the regulation of the JAK/STAT signaling pathway (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). PIAS1, PIAS2 (PIASx&#x3b1;, PIASx&#x3b2;), PIAS3 and PIAS4 (PIASy) are the main members of this protein family (<xref ref-type="bibr" rid="B3">3</xref>). In addition to the STAT family of transcription factors (TFs), PIAS proteins have functional interactions with NF-&#x3ba;B, p73 and p53 (<xref ref-type="bibr" rid="B4">4</xref>). PIAS proteins have crucial roles in the regulation of the immune responses particularly through modulation of a number of cytokine-associated genes (<xref ref-type="bibr" rid="B4">4</xref>). Among PIAS proteins, PIAS1 has a prominent role in the regulation of innate immune responses as it specifically suppresses expression of IFN-inducible genes. These speculations are based on the observed enhancement of the antiviral function of IFN-&#x3b2; and IFN-&#x3b3; in Pias1&#x2212;/&#x2212; cells (<xref ref-type="bibr" rid="B5">5</xref>). PIAS2 has been shown to suppress the IL-12-associated STAT4-dependent gene induction (<xref ref-type="bibr" rid="B6">6</xref>). Similarly, PIAS3 has a specific inhibitory effect on STAT3 signaling (<xref ref-type="bibr" rid="B7">7</xref>). STAT3 has been primarily identified as a TF induced by the IL-6 family of cytokines (<xref ref-type="bibr" rid="B8">8</xref>). Subsequent studies revealed its essential roles in the development of Th17 cells (<xref ref-type="bibr" rid="B9">9</xref>), regulation of humoral immune responses (<xref ref-type="bibr" rid="B10">10</xref>) and modulation of innate immunity (<xref ref-type="bibr" rid="B11">11</xref>). PIAS4 has prominent roles in suppression of STAT1, and inhibition of LEF1 and SMAD3 signaling pathways (<xref ref-type="bibr" rid="B12">12</xref>). Consistent with the critical functions of PIAS proteins in the regulation of immune responses, they have been shown to be involved in the pathogenesis of multiple sclerosis (MS) (<xref ref-type="bibr" rid="B13">13</xref>). However, their expression pattern and functional relevance with inflammatory demyelinating polyradiculoneuropathies are largely unknown. In the current study, we examined expression of PIAS1-4 in patients with acute/chronic inflammatory demyelinating polyradiculoneuropathy (AIDP/CIDP) compared with healthy subjects. Autoimmune inflammatory responses are considered as the principal mechanisms for development of these neurologic conditions (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). In addition to the pathophysiological events, these two conditions share several features in terms of clinical manifestations and treatment modalities (<xref ref-type="bibr" rid="B14">14</xref>). Therefore, identification of the role of <italic>PIAS</italic> genes in the pathogenesis of AIDP/CIDP might facilitate the process of design of therapeutic options and prediction of disease course in these conditions.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s2_1">
<title>Enrollment of AIDP/CIDP Patients and Healthy Subjects</title>
<p>In total, 22 AIDP cases, 31 CIDP cases and 50 healthy individuals with no sign of inflammatory conditions were enrolled in the current study. Diagnostic evaluations were performed using the criteria offered by the American Academy of Neurology (<xref ref-type="bibr" rid="B16">16</xref>) and National Institute of Neurological Disorders and Stroke (<xref ref-type="bibr" rid="B17">17</xref>). AIDP/CIDP cases were in remission at the time of sampling. Diagnosis was based on clinical manifestations as well as electrophysiological and biochemical tests. Those with recent or chronic infection, cancer, or any systemic diseases were exempted from participation in the study. Persons enlisted in the control group were healthy individuals with no history of recent or chronic infection, malignancy, or systemic diseases. The study protocol was approved by the ethical committee of Shahid Beheshti University of Medical Sciences (IR.SBMU.MSP.REC.1398.853). All AIDP/CIDP cases and controls signed the informed consent forms.</p>
</sec>
<sec id="s2_2">
<title>Expression Assay</title>
<p>Peripheral blood samples were obtained from controls and AIDP/CIDP patients at the time of remission. Samples were collected in EDTA-containing tubes. RNA was isolated from blood samples using the RNA extraction kit delivered by the GeneAll Company (Seoul, Korea). Then, RNA was converted to cDNA by using the Thermo Fisher Scientific kit (Brussels, Belgium). Expression levels of <italic>PIAS</italic> genes were measured in AIDP/CIDP cases and control subjects using the master mix supplied by the Ampliqon Company (Odense, Denmark). Expression of <italic>PIAS</italic> genes were measured using the Step One Plus&#x2122; Real-Time PCR system (Applied Biosystems, Foster city, CA, USA). Details of expression analysis of <italic>PIAS</italic> genes were explained formerly (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B18">18</xref>). <xref ref-type="table" rid="T1">
<bold>Table 1</bold>
</xref> shows the primers and probes.</p>
<table-wrap id="T1" position="float">
<label>Table 1</label>
<caption>
<p>The information about primers and probes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Gene name</th>
<th valign="top" align="center">Primer and probe sequence</th>
<th valign="top" align="center">Primer and probe length</th>
<th valign="top" align="left">Product length</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="3" align="left">
<italic>HPRT1</italic>
</td>
<td valign="top" align="left">F: AGCCTAAGATGAGAGTTC</td>
<td valign="top" align="center">18</td>
<td valign="top" rowspan="3" align="center">88</td>
</tr>
<tr>
<td valign="top" align="left">R: CACAGAACTAGAACATTGATA</td>
<td valign="top" align="center">21</td>
</tr>
<tr>
<td valign="top" align="left">FAM -CATCTGGAGTCCTATTGACATCGC- TAMRA</td>
<td valign="top" align="center">24</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">
<italic>PIAS1</italic>
</td>
<td valign="top" align="left">F: AGCCTAAGGGAAAGCCATAGC</td>
<td valign="top" align="center">21</td>
<td valign="top" rowspan="3" align="center">83</td>
</tr>
<tr>
<td valign="top" align="left">R: ATGTCTGGTATGATGCCAAAGATG</td>
<td valign="top" align="center">24</td>
</tr>
<tr>
<td valign="top" align="left">FAM-TGCCGTGTCCGTGCTGCTCCTGT- TAMRA</td>
<td valign="top" align="center">24</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">
<italic>PIAS2</italic>
</td>
<td valign="top" align="left">F: CACGAACTCTTGAAGGACTTTCTG</td>
<td valign="top" align="center">24</td>
<td valign="top" rowspan="3" align="center">126</td>
</tr>
<tr>
<td valign="top" align="left">R: AAGTGGAAGGCAACGAGTGG</td>
<td valign="top" align="center">20</td>
</tr>
<tr>
<td valign="top" align="left">FAM - CCAGCCACGGCCAAGTCAGGTTCT -TAMRA</td>
<td valign="top" align="center">24</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">
<italic>PIAS3</italic>
</td>
<td valign="top" align="left">F:GCCCTACCTGGAAGCAAAGG</td>
<td valign="top" align="center">20</td>
<td valign="top" rowspan="3" align="center">120</td>
</tr>
<tr>
<td valign="top" align="left">R: GTACTCATGTAGTGGGAGACTGG</td>
<td valign="top" align="center">23</td>
</tr>
<tr>
<td valign="top" align="left">FAM- CCCACCCAACGTGCCCATAGCAGG - TAMRA</td>
<td valign="top" align="center">24</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">
<italic>PIAS4</italic>
</td>
<td valign="top" align="left">F: GAGAAGAAGCCCACCTGGATG</td>
<td valign="top" align="center">21</td>
<td valign="top" rowspan="3" align="center">77</td>
</tr>
<tr>
<td valign="top" align="left">R: AGGAGCCCGTCGATGATGAG&#x2003;</td>
<td valign="top" align="center">20</td>
</tr>
<tr>
<td valign="top" align="left">FAM- CCCGTGTGCGACAAGCCAGCCC - TAMRA</td>
<td valign="top" align="center">22</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_3">
<title>Statistical Methods</title>
<p>R programming language was used for statistical analysis. Transcript quantities of <italic>PIAS1</italic>, <italic>PIAS2</italic>, <italic>PIAS3</italic>, and <italic>PIAS4</italic> in relation to the <italic>HPRT</italic> reference gene was calculated from CT values using the equation:<inline-formula>
<mml:math display="inline" id="im1">
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:mi>m</mml:mi>
<mml:msubsup>
<mml:mi>p</mml:mi>
<mml:mrow>
<mml:mi>g</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>n</mml:mi>
<mml:mi>e</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mo>-</mml:mo>
<mml:mi>C</mml:mi>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mrow>
<mml:mi>g</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>n</mml:mi>
<mml:mi>e</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:msubsup>
</mml:mrow>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:mi>m</mml:mi>
<mml:msubsup>
<mml:mi>p</mml:mi>
<mml:mrow>
<mml:mi>H</mml:mi>
<mml:mi>P</mml:mi>
<mml:mi>R</mml:mi>
<mml:mi>T</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>C</mml:mi>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mrow>
<mml:mi>H</mml:mi>
<mml:mi>P</mml:mi>
<mml:mi>R</mml:mi>
<mml:mi>T</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:msubsup>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</inline-formula>. Then, the values were log2 transformed and used for subsequent analysis. Four comparisons between CIDP/AIDP/All patients and healthy individuals and between CIDP and AIDP patients were done and the significant difference between means was computed using the t-test. Correlations between expressions were evaluated through the calculation of Spearman correlation coefficients. Three predictive machine learning methods namely Bayesian Generalized Linear Model, Generalized Linear Model, and Linear Discriminant Analysis with 10-fold cross validation were used to compute the sensitivity and specificity of each model. The receiver operating characteristic curve was plotted. The Linear Discriminant Analysis Model (LDA) provided the most efficient estimates and in the best setting, the AUC was 0.94. Youden&#x2019;s J statistic was employed to find the optimum threshold. LDA was then selected based on previous results to investigate efficiency of each gene for separating groups.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>General Demographic and Clinical Information of Cases and Controls</title>
<p>The current project enrolled 17 female and 36 male patients along with 13 female and 37 male subjects who enlisted as controls. Cases and controls were matched in the term of age parameter. Demographic information of patients and controls are demonstrated in <xref ref-type="table" rid="T2">
<bold>Table 2</bold>
</xref>.</p>
<table-wrap id="T2" position="float">
<label>Table 2</label>
<caption>
<p>General demographic and clinical information of cases and controls.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="center">AIDP Cases</th>
<th valign="top" align="center">CIDP cases</th>
<th valign="top" align="center">Controls</th>
<th valign="top" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Female/Male [no. (%)]</td>
<td valign="top" align="center">6 (27%)/16 (73%)</td>
<td valign="top" align="center">11 (35%)/20 (65%)</td>
<td valign="top" align="center">13 (26%)/37 (74%)</td>
<td valign="top" align="center">0.39</td>
</tr>
<tr>
<td valign="top" align="left">Age (mean &#xb1; SD, Y)</td>
<td valign="top" align="center">49.72 &#xb1; 14.6</td>
<td valign="top" align="center">50.5&#xb1; 15.8</td>
<td valign="top" align="center">44.48 &#xb1; 2.3</td>
<td valign="top" align="center">0.13</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Expression Assays</title>
<p>
<xref ref-type="fig" rid="f1">
<bold>Figure 1</bold>
</xref> shows the relative expression amounts of <italic>PIAS</italic> genes in AIDP/CIDP patients and healthy subjects. Expression levels of all <italic>PIAS</italic> genes were significantly decreased in both CIDP cases compared with controls. For <italic>PIAS1</italic>, ratio of mean expressions (RME) in cases versus controls was 1.12E-03 (P value=8.2E-14). RME (P values) for <italic>PIAS2</italic>, <italic>PIAS3</italic> and <italic>PIAS4</italic> genes in CIDP cases versus controls were 2.22E-03 (4.5E-13), 9.02E-03 (1.7E-08) and 1.05E-02 (3.8E-09), respectively. Expression of all genes was also decreased in AIDP cases compared with controls. The corresponding RME and P values for <italic>PIAS1</italic>-<italic>PIAS4</italic> genes in the AIDP cases versus controls were 1.52E-03 (3.3E-07), 2.60E-03 (5.9E-07), 1.47E-02 (5.9E-05) and 1.21E-02 (2.6E-05), respectively.</p>
<fig id="f1" position="float">
<label>Figure 1</label>
<caption>
<p>Relative expressions of <italic>PIAS</italic> genes in AIDP/CIDP patients and healthy subjects. Depicted box plots and whiskers show all data points from maximum to minimum. Boxes are depicted from Q1 to Q3. The horizontal lines in the middle of boxes show the median values. Each black dot shows expression in a certain sample. Mean values and interquartile range are displayed.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-12-659038-g001.tif"/>
</fig>
<p>Similarly, comparisons in gender-based groups revealed down-regulation of these genes in patients of each gender compared with gender-matched controls. There was no significant difference in expression of <italic>PIAS</italic> genes between AIDP and CIDP cases. When assessing expression of <italic>PIAS</italic> genes in total CIDP and AIDP cases versus total controls, all genes were found to be down-regulated in affected individuals which is consistent with their expression pattern in related patients&#x2019; subgroups. <xref ref-type="table" rid="T3">
<bold>Table 3</bold>
</xref> shows the detailed statistics of expression analysis of <italic>PIAS</italic> genes among study groups.</p>
<table-wrap id="T3" position="float">
<label>Table 3</label>
<caption>
<p>The results of Bayesian Regression model for comparison of expression of <italic>PIAS</italic> genes in AIDP/CIDP patients and healthy persons (Expressions of <italic>PIAS</italic> genes have been compared between CIDP cases and controls, AIDP cases and controls, CIDP cases and AIDP cases as well as total patients and total control.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" colspan="2" align="left">Number of Samples</th>
<th valign="top" colspan="5" align="center">
<italic>PIAS1</italic>
</th>
<th valign="top" colspan="5" align="center">
<italic>PIAS2</italic>
</th>
<th valign="top" colspan="5" align="center">
<italic>PIAS3</italic>
</th>
<th valign="top" colspan="5" align="center">
<italic>PIAS4</italic>
</th>
</tr>
<tr>
<th valign="top" colspan="2" align="left">
</th>
<th valign="top" align="center">SE*</th>
<th valign="top" align="center">Ratio of &#x2028;Mean &#x2028;Expressions</th>
<th valign="top" align="center">P Value</th>
<th valign="top" colspan="2" align="center">95% CI**</th>
<th valign="top" align="center">SE</th>
<th valign="top" align="center">Ratio of &#x2028;Mean &#x2028;Expressions</th>
<th valign="top" align="center">P Value</th>
<th valign="top" colspan="2" align="center">95% CI</th>
<th valign="top" align="center">SE</th>
<th valign="top" align="center">Ratio of &#x2028;Mean &#x2028;Expressions</th>
<th valign="top" align="center">P Value</th>
<th valign="top" colspan="2" align="center">95% CI</th>
<th valign="top" align="center">SE</th>
<th valign="top" align="center">Ratio of &#x2028;Mean &#x2028;Expressions</th>
<th valign="top" align="center">P Value</th>
<th valign="top" colspan="2" align="center">95% CI</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" colspan="2" align="left">CIDP/Control</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="left">31/50</td>
<td valign="top" align="center">1.10</td>
<td valign="top" align="center">1.12E-03</td>
<td valign="top" align="center">
<bold>8.2E-14</bold>
</td>
<td valign="top" align="center">-11.99</td>
<td valign="top" align="center">-7.62</td>
<td valign="top" align="center">1.02</td>
<td valign="top" align="center">2.22E-03</td>
<td valign="top" align="center">
<bold>4.5E-13</bold>
</td>
<td valign="top" align="center">-10.84</td>
<td valign="top" align="center">-6.78</td>
<td valign="top" align="center">1.10</td>
<td valign="top" align="center">9.02E-03</td>
<td valign="top" align="center">
<bold>1.7E-08</bold>
</td>
<td valign="top" align="center">-8.98</td>
<td valign="top" align="center">-4.61</td>
<td valign="top" align="center">1.01</td>
<td valign="top" align="center">1.05E-02</td>
<td valign="top" align="center">
<bold>3.8E-09</bold>
</td>
<td valign="top" align="center">-8.58</td>
<td valign="top" align="center">-4.58</td>
</tr>
<tr>
<td valign="top" align="left">F</td>
<td valign="top" align="left">11/13</td>
<td valign="top" align="center">1.65</td>
<td valign="top" align="center">9.83E-04</td>
<td valign="top" align="center">
<bold>3.2E-06</bold>
</td>
<td valign="top" align="center">-13.41</td>
<td valign="top" align="center">-6.57</td>
<td valign="top" align="center">1.43</td>
<td valign="top" align="center">1.55E-03</td>
<td valign="top" align="center">
<bold>1.0E-06</bold>
</td>
<td valign="top" align="center">-12.28</td>
<td valign="top" align="center">-6.38</td>
<td valign="top" align="center">1.64</td>
<td valign="top" align="center">7.54E-03</td>
<td valign="top" align="center">
<bold>1.8E-04</bold>
</td>
<td valign="top" align="center">-10.40</td>
<td valign="top" align="center">-3.70</td>
<td valign="top" align="center">1.47</td>
<td valign="top" align="center">8.07E-03</td>
<td valign="top" align="center">
<bold>7.2E-05</bold>
</td>
<td valign="top" align="center">-9.98</td>
<td valign="top" align="center">-3.92</td>
</tr>
<tr>
<td valign="top" align="left">M</td>
<td valign="top" align="left">20/37</td>
<td valign="top" align="center">1.43</td>
<td valign="top" align="center">1.21E-03</td>
<td valign="top" align="center">
<bold>1.9E-08</bold>
</td>
<td valign="top" align="center">-12.58</td>
<td valign="top" align="center">-6.81</td>
<td valign="top" align="center">1.35</td>
<td valign="top" align="center">3.10E-03</td>
<td valign="top" align="center">
<bold>1.6E-07</bold>
</td>
<td valign="top" align="center">-11.06</td>
<td valign="top" align="center">-5.61</td>
<td valign="top" align="center">1.39</td>
<td valign="top" align="center">1.10E-02</td>
<td valign="top" align="center">
<bold>2.7E-05</bold>
</td>
<td valign="top" align="center">-9.30</td>
<td valign="top" align="center">-3.70</td>
<td valign="top" align="center">1.31</td>
<td valign="top" align="center">1.28E-02</td>
<td valign="top" align="center">
<bold>1.6E-05</bold>
</td>
<td valign="top" align="center">-8.91</td>
<td valign="top" align="center">-3.66</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">AIDP/Control</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="left">22/50</td>
<td valign="top" align="center">1.53</td>
<td valign="top" align="center">1.52E-03</td>
<td valign="top" align="center">
<bold>3.3E-07</bold>
</td>
<td valign="top" align="center">-12.46</td>
<td valign="top" align="center">-6.27</td>
<td valign="top" align="center">1.43</td>
<td valign="top" align="center">2.60E-03</td>
<td valign="top" align="center">
<bold>5.9E-07</bold>
</td>
<td valign="top" align="center">-11.49</td>
<td valign="top" align="center">-5.68</td>
<td valign="top" align="center">1.38</td>
<td valign="top" align="center">1.47E-02</td>
<td valign="top" align="center">
<bold>5.9E-05</bold>
</td>
<td valign="top" align="center">-8.87</td>
<td valign="top" align="center">-3.31</td>
<td valign="top" align="center">1.35</td>
<td valign="top" align="center">1.21E-02</td>
<td valign="top" align="center">
<bold>2.6E-05</bold>
</td>
<td valign="top" align="center">-9.08</td>
<td valign="top" align="center">-3.65</td>
</tr>
<tr>
<td valign="top" align="left">F</td>
<td valign="top" align="left">6/13</td>
<td valign="top" align="center">2.41</td>
<td valign="top" align="center">1.22E-03</td>
<td valign="top" align="center">
<bold>1.7E-03</bold>
</td>
<td valign="top" align="center">-14.92</td>
<td valign="top" align="center">-4.44</td>
<td valign="top" align="center">2.02</td>
<td valign="top" align="center">1.98E-03</td>
<td valign="top" align="center">
<bold>7.7E-04</bold>
</td>
<td valign="top" align="center">-13.37</td>
<td valign="top" align="center">-4.59</td>
<td valign="top" align="center">2.15</td>
<td valign="top" align="center">1.29E-02</td>
<td valign="top" align="center">
<bold>1.1E-02</bold>
</td>
<td valign="top" align="center">-10.89</td>
<td valign="top" align="center">-1.66</td>
<td valign="top" align="center">2.09</td>
<td valign="top" align="center">1.06E-02</td>
<td valign="top" align="center">
<bold>8.1E-03</bold>
</td>
<td valign="top" align="center">-11.10</td>
<td valign="top" align="center">-2.03</td>
</tr>
<tr>
<td valign="top" align="left">M</td>
<td valign="top" align="left">16/37</td>
<td valign="top" align="center">2.00</td>
<td valign="top" align="center">1.73E-03</td>
<td valign="top" align="center">
<bold>1.1E-04</bold>
</td>
<td valign="top" align="center">-13.30</td>
<td valign="top" align="center">-5.05</td>
<td valign="top" align="center">1.95</td>
<td valign="top" align="center">3.54E-03</td>
<td valign="top" align="center">
<bold>3.5E-04</bold>
</td>
<td valign="top" align="center">-12.18</td>
<td valign="top" align="center">-4.11</td>
<td valign="top" align="center">1.77</td>
<td valign="top" align="center">1.76E-02</td>
<td valign="top" align="center">
<bold>2.8E-03</bold>
</td>
<td valign="top" align="center">-9.46</td>
<td valign="top" align="center">-2.19</td>
<td valign="top" align="center">1.76</td>
<td valign="top" align="center">1.42E-02</td>
<td valign="top" align="center">
<bold>1.8E-03</bold>
</td>
<td valign="top" align="center">-9.76</td>
<td valign="top" align="center">-2.52</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">CIDP/AIDP</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="left">31/22</td>
<td valign="top" align="center">1.80</td>
<td valign="top" align="center">2.07E+00</td>
<td valign="top" align="center">5.6E-01</td>
<td valign="top" align="center">-2.56</td>
<td valign="top" align="center">4.66</td>
<td valign="top" align="center">1.71</td>
<td valign="top" align="center">1.46E+00</td>
<td valign="top" align="center">7.5E-01</td>
<td valign="top" align="center">-2.89</td>
<td valign="top" align="center">3.99</td>
<td valign="top" align="center">1.74</td>
<td valign="top" align="center">3.23E+00</td>
<td valign="top" align="center">3.4E-01</td>
<td valign="top" align="center">-1.80</td>
<td valign="top" align="center">5.18</td>
<td valign="top" align="center">1.64</td>
<td valign="top" align="center">1.43E+00</td>
<td valign="top" align="center">7.6E-01</td>
<td valign="top" align="center">-2.79</td>
<td valign="top" align="center">3.81</td>
</tr>
<tr>
<td valign="top" align="left">F</td>
<td valign="top" align="left">11/6</td>
<td valign="top" align="center">2.45</td>
<td valign="top" align="center">1.85E+00</td>
<td valign="top" align="center">7.2E-01</td>
<td valign="top" align="center">-4.42</td>
<td valign="top" align="center">6.20</td>
<td valign="top" align="center">2.26</td>
<td valign="top" align="center">2.00E+00</td>
<td valign="top" align="center">6.6E-01</td>
<td valign="top" align="center">-3.81</td>
<td valign="top" align="center">5.81</td>
<td valign="top" align="center">2.57</td>
<td valign="top" align="center">4.57E+00</td>
<td valign="top" align="center">4.1E-01</td>
<td valign="top" align="center">-3.30</td>
<td valign="top" align="center">7.68</td>
<td valign="top" align="center">2.17</td>
<td valign="top" align="center">2.15E+00</td>
<td valign="top" align="center">6.2E-01</td>
<td valign="top" align="center">-3.57</td>
<td valign="top" align="center">5.78</td>
</tr>
<tr>
<td valign="top" align="left">M</td>
<td valign="top" align="left">20/16</td>
<td valign="top" align="center">2.38</td>
<td valign="top" align="center">2.24E+00</td>
<td valign="top" align="center">6.3E-01</td>
<td valign="top" align="center">-3.66</td>
<td valign="top" align="center">5.99</td>
<td valign="top" align="center">2.31</td>
<td valign="top" align="center">1.35E+00</td>
<td valign="top" align="center">8.5E-01</td>
<td valign="top" align="center">-4.27</td>
<td valign="top" align="center">5.13</td>
<td valign="top" align="center">2.26</td>
<td valign="top" align="center">2.87E+00</td>
<td valign="top" align="center">5.0E-01</td>
<td valign="top" align="center">-3.07</td>
<td valign="top" align="center">6.11</td>
<td valign="top" align="center">2.18</td>
<td valign="top" align="center">1.25E+00</td>
<td valign="top" align="center">8.8E-01</td>
<td valign="top" align="center">-4.11</td>
<td valign="top" align="center">4.75</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">All Patients/Controls</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="left">53/50</td>
<td valign="top" align="center">1.23</td>
<td valign="top" align="center">7.33E-04</td>
<td valign="top" align="center">
<bold>1.0E-09</bold>
</td>
<td valign="top" align="center">-12.92</td>
<td valign="top" align="center">-7.91</td>
<td valign="top" align="center">1.17</td>
<td valign="top" align="center">1.78E-03</td>
<td valign="top" align="center">
<bold>8.9E-09</bold>
</td>
<td valign="top" align="center">-11.51</td>
<td valign="top" align="center">-6.75</td>
<td valign="top" align="center">1.41</td>
<td valign="top" align="center">4.54E-03</td>
<td valign="top" align="center">
<bold>3.8E-06</bold>
</td>
<td valign="top" align="center">-10.65</td>
<td valign="top" align="center">-4.91</td>
<td valign="top" align="center">1.22</td>
<td valign="top" align="center">8.49E-03</td>
<td valign="top" align="center">
<bold>3.0E-06</bold>
</td>
<td valign="top" align="center">-9.36</td>
<td valign="top" align="center">-4.40</td>
</tr>
<tr>
<td valign="top" align="left">F</td>
<td valign="top" align="left">17/13</td>
<td valign="top" align="center">1.11</td>
<td valign="top" align="center">6.60E-04</td>
<td valign="top" align="center">
<bold>1.9E-07</bold>
</td>
<td valign="top" align="center">-12.95</td>
<td valign="top" align="center">-8.18</td>
<td valign="top" align="center">1.34</td>
<td valign="top" align="center">9.90E-04</td>
<td valign="top" align="center">
<bold>7.0E-05</bold>
</td>
<td valign="top" align="center">-13.06</td>
<td valign="top" align="center">-6.90</td>
<td valign="top" align="center">1.86</td>
<td valign="top" align="center">2.82E-03</td>
<td valign="top" align="center">
<bold>1.8E-03</bold>
</td>
<td valign="top" align="center">-12.75</td>
<td valign="top" align="center">-4.19</td>
<td valign="top" align="center">1.15</td>
<td valign="top" align="center">4.92E-03</td>
<td valign="top" align="center">
<bold>2.4E-05</bold>
</td>
<td valign="top" align="center">-10.18</td>
<td valign="top" align="center">-5.15</td>
</tr>
<tr>
<td valign="top" align="left">M</td>
<td valign="top" align="left">36/37</td>
<td valign="top" align="center">1.68</td>
<td valign="top" align="center">7.72E-04</td>
<td valign="top" align="center">
<bold>3.3E-06</bold>
</td>
<td valign="top" align="center">-13.82</td>
<td valign="top" align="center">-6.86</td>
<td valign="top" align="center">1.55</td>
<td valign="top" align="center">2.63E-03</td>
<td valign="top" align="center">
<bold>1.7E-05</bold>
</td>
<td valign="top" align="center">-11.79</td>
<td valign="top" align="center">-5.35</td>
<td valign="top" align="center">1.82</td>
<td valign="top" align="center">6.13E-03</td>
<td valign="top" align="center">
<bold>5.4E-04</bold>
</td>
<td valign="top" align="center">-11.12</td>
<td valign="top" align="center">-3.58</td>
<td valign="top" align="center">1.64</td>
<td valign="top" align="center">1.13E-02</td>
<td valign="top" align="center">
<bold>7.1E-04</bold>
</td>
<td valign="top" align="center">-9.86</td>
<td valign="top" align="center">-3.06</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*SE, standard error; **95% CI, 95% confidence interval.</p>
</fn>
<fn>
<p>Expression of each of PIAS genes was significantly correlated with other PIAS genes in all study groups. Notably, based on the measured correlation coefficients, such correlations were more robust among patients (<xref ref-type="fig" rid="f2">
<bold>Figure 2</bold>
</xref>).</p>
</fn>
<fn>
<p>Significant P values are shown in bold letters).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Afterwards, we appraised whether expression of <italic>PIAS</italic> transcripts can separate AIDP/CIDP patients from controls (<xref ref-type="fig" rid="f2">
<bold>Figure 2</bold>
</xref>). Based on the AUC values, <italic>PIAS1</italic>-<italic>4</italic> genes could distinguish between inflammatory demyelinating polyradiculoneuropathy and healthy status with accuracy values of 0.87, 0.87, 0.79 and 0.80, respectively. In differentiation between AIDP cases and healthy controls, these values were 0.92, 0.92, 0.83 and 0.86, respectively. Finally, <italic>PIAS1</italic>-<italic>4</italic> genes could discriminate CIDP from healthy status with accuracy values of 0.82, 0.83, 0.75 and 0.75, respectively. <xref ref-type="fig" rid="f3">
<bold>Figure 3</bold>
</xref> and <xref ref-type="table" rid="T4">
<bold>Table 4</bold>
</xref> show details of ROC curve analysis.</p>
<fig id="f2" position="float">
<label>Figure 2</label>
<caption>
<p>Correlations between transcript quantities of <italic>PIAS</italic> genes. The distributions of parameters are represented on the diagonals. The bivariate scatter plots with a fitted line are shown on the lower parts of the diagonals. Correlation coefficients and p values of the correlations are displayed on the upper sections of the diagonal.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-12-659038-g002.tif"/>
</fig>
<fig id="f3" position="float">
<label>Figure 3</label>
<caption>
<p>The receiver operating characteristic (ROC) curve of <italic>PIAS1-4</italic> in diagnosis of inflammatory demyelinating polyradiculoneuropathy.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-12-659038-g003.tif"/>
</fig>
<table-wrap id="T4" position="float">
<label>Table 4</label>
<caption>
<p>Detailed statistics of ROC curve analysis.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" colspan="2" align="left">Number of Samples</th>
<th valign="top" colspan="3" align="center">
<italic>PIAS1</italic>
</th>
<th valign="top" colspan="3" align="center">
<italic>PIAS2</italic>
</th>
<th valign="top" colspan="3" align="center">
<italic>PIAS3</italic>
</th>
<th valign="top" colspan="3" align="center">
<italic>PIAS4</italic>
</th>
<th valign="top" colspan="3" align="center">All Four genes</th>
</tr>
<tr>
<th valign="top" colspan="2" align="left">
</th>
<th valign="top" align="left">AUC</th>
<th valign="top" align="left">Sensitivity</th>
<th valign="top" align="left">Specificity</th>
<th valign="top" align="left">AUC</th>
<th valign="top" align="left">Sensitivity</th>
<th valign="top" align="left">Specificity</th>
<th valign="top" align="left">AUC</th>
<th valign="top" align="left">Sensitivity</th>
<th valign="top" align="left">Specificity</th>
<th valign="top" align="left">AUC</th>
<th valign="top" align="left">Sensitivity</th>
<th valign="top" align="left">Specificity</th>
<th valign="top" align="left">AUC</th>
<th valign="top" align="left">Sensitivity</th>
<th valign="top" align="left">Specificity</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" colspan="2" align="left">CIDP/Control</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="left">31/50</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">0.94</td>
<td valign="top" align="center">0.61</td>
<td valign="top" align="center">0.83</td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">0.74</td>
<td valign="top" align="center">0.75</td>
<td valign="top" align="center">0.84</td>
<td valign="top" align="center">0.61</td>
<td valign="top" align="center">0.75</td>
<td valign="top" align="center">0.93</td>
<td valign="top" align="center">0.61</td>
<td valign="top" align="center">0.85</td>
<td valign="top" align="center">0.80</td>
<td valign="top" align="center">0.75</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">AIDP/Control</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="left">22/50</td>
<td valign="top" align="center">0.92</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center">0.91</td>
<td valign="top" align="center">0.92</td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">0.91</td>
<td valign="top" align="center">0.83</td>
<td valign="top" align="center">0.78</td>
<td valign="top" align="center">0.76</td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">0.73</td>
<td valign="top" align="center">0.89</td>
<td valign="top" align="center">0.94</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">0.82</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">CIDP/AIDP</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="left">31/22</td>
<td valign="top" align="center">0.57</td>
<td valign="top" align="center">0.43</td>
<td valign="top" align="center">0.83</td>
<td valign="top" align="center">0.66</td>
<td valign="top" align="center">0.52</td>
<td valign="top" align="center">0.80</td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center">0.37</td>
<td valign="top" align="center">0.71</td>
<td valign="top" align="center">0.65</td>
<td valign="top" align="center">0.44</td>
<td valign="top" align="center">0.84</td>
<td valign="top" align="center">0.49</td>
<td valign="top" align="center">0.68</td>
<td valign="top" align="center">0.47</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">All Patients/Controls</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="left">53/50</td>
<td valign="top" align="center">0.87</td>
<td valign="top" align="center">0.91</td>
<td valign="top" align="center">0.73</td>
<td valign="top" align="center">0.87</td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">0.81</td>
<td valign="top" align="center">0.79</td>
<td valign="top" align="center">0.84</td>
<td valign="top" align="center">0.65</td>
<td valign="top" align="center">0.80</td>
<td valign="top" align="center">0.93</td>
<td valign="top" align="center">0.63</td>
<td valign="top" align="center">0.89</td>
<td valign="top" align="center">0.98</td>
<td valign="top" align="center">0.65</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>PIAS proteins have been shown to modulate the function of many TFs such as STATs, NF-&#x3ba;B and SMADs. The Jak-STAT cascade as a main target of PIAS proteins is the main intracellular cascade induced by class I cytokine receptor proteins. Through this signaling pathway, the activated kinase phosphorylates tyrosine amino acids in the intracellular domain of cytokine receptors (<xref ref-type="bibr" rid="B19">19</xref>). STATs have important roles in STATs in the development of neutrophils and regulation of their function, polarization of macrophages, and activity of dendritic cells (<xref ref-type="bibr" rid="B19">19</xref>). NF-&#x3ba;B+ signaling has also been shown to regulate expression of cytokines and antimicrobial molecules. Moreover, this signaling pathway controls differentiation, subsistence and proliferation of cells that are involved in innate and adaptive immune reactions (<xref ref-type="bibr" rid="B20">20</xref>). The SMAD pathway controls IgA secretion by B cells and enhances differentiation of CD4+ T cells into T17 cells and regulatory T cells (<xref ref-type="bibr" rid="B21">21</xref>). Therefore, PIAS proteins can affect immune responses <italic>via</italic> various routes. These proteins exert their regulatory roles <italic>via</italic> different routes such as inhibition of the DNA-binding activity of TFs and functional interaction with transcriptional corepressors or co-activators. They also have prominent roles in the regulation of innate immune reactions (<xref ref-type="bibr" rid="B4">4</xref>). In the current project, we demonstrated down-regulation of <italic>PIAS1</italic>-<italic>4</italic> transcripts in the peripheral blood of AIDP and CIDP patients, with no significant difference between these two groups of patients. We have recently examined expression levels of <italic>STAT</italic> genes in the same cohort of CIDP and AIDP patients and reported over-expression of <italic>STAT1</italic> in female patients compared with sex-matched controls (<xref ref-type="bibr" rid="B22">22</xref>). It is worth mentioning that since <italic>PIAS1</italic> was similarly down-regulated in males and females in the current study, this system may not be the only one responsible for elevated <italic>STAT1</italic> levels. STAT1 has a crucial role in induction of gene expression in response to IFN stimulation. PIAS1 is the only member of the PIAS family of proteins that can block the DNA binding function of STAT1 and suppress STAT1-associated stimulation of gene expression in response to IFN (<xref ref-type="bibr" rid="B2">2</xref>). Consistent with the anti-inflammatory role of PIAS1, down-regulation of this transcript has been associated with allograft rejection (<xref ref-type="bibr" rid="B23">23</xref>). PIAS proteins have also prominent roles in decreasing the effects of pro-inflammatory cytokines (<xref ref-type="bibr" rid="B24">24</xref>). Moreover, PIAS agonists and inducers have immunosuppressive effects (<xref ref-type="bibr" rid="B24">24</xref>). Therefore, the observed down-regulation of <italic>PIAS</italic> transcripts in AIDP and CIDP cases might exacerbate the autoimmune responses in these patients, thus contributing in the pathogenesis of these conditions. In line with the inhibitory role of PIAS proteins on the activity of NF-&#x3ba;B and the observed down-regulation of <italic>PIAS</italic> transcripts in AIDP/CIDP patients, Andorfer et&#xa0;al. have shown a remarkable increase in NF-&#x3ba;B levels in Guillain-Barr&#xe9; syndrome and CIDP cases compared to controls. They also suggested a critical role for NF-&#x3ba;B in the pathogenesis of these inflammatory conditions (<xref ref-type="bibr" rid="B25">25</xref>). Although we did not perform functional studies to assess whether down-regulation of <italic>PIAS</italic> transcripts is the cause or effect of CIDP/AIDP, based on the role of these transcripts in suppression of STAT signaling we hypothesize that this dysregulation is the cause of this autoimmune condition. Abnormal levels of PIAS-targeting miRNAs might be a possible mechanism of down-regulation of <italic>PIAS</italic> transcripts. Several miRNAs including miR-146a have been shown to affect expression of PIAS, STAT and other components of this pathway (<xref ref-type="bibr" rid="B26">26</xref>). Meanwhile, expression of a number of these miRNAs including miR-146a has been found to be dysregulated in GBS patients (<xref ref-type="bibr" rid="B27">27</xref>). Besides, miR-18a has been found to negatively regulate PIAS3 expression and therefore influencing expression of STAT3 target genes (<xref ref-type="bibr" rid="B28">28</xref>). Notably, miR-18a has a distinctive inhibitory effects on differentiation of T17 cells (<xref ref-type="bibr" rid="B29">29</xref>). Therefore, abnormal functional network between PIAS, STAT and miRNAs might affect expression and function of these pathways.</p>
<p>We also demonstrated significant correlations between <italic>PIAS1-4</italic> transcript levels particularly among patients. Such finding implies the presence of a solitary regulatory mechanism for these genes and the robustness of this mechanism in the context of AIDP/CIDP. Finally, we appraised the diagnostic power of <italic>PIAS1</italic>-<italic>4</italic> genes in distinguishing between disease and healthy conditions. The best values were detected for <italic>PIAS1</italic> and <italic>PIAS2</italic> for differentiation of AIDP cases from healthy condition.</p>
<p>Taken together, the observed down-regulation of <italic>PIAS</italic> genes in AIDP/CIDP cases implies their possible contribution in the pathogenesis of these conditions and their potential usage as biomarkers. Therapeutic options that alter expression of these genes might improve the response of patients to available therapeutic options and attenuate the course of these disorders. These speculations should be appraised in animal models of inflammatory demyelinating polyradiculoneuropathy. A&#xa0;limitation of this study is lack of assessment of expression levels of <italic>PIAS</italic> transcripts in different time points during the course of disorder to find whether their expression is changed during the time.</p>
</sec>
<sec id="s5">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>The study protocol was approved by the ethical committee of&#xa0;Shahid Beheshti University of Medical Sciences (IR.SBMU.MSP.REC.1398.853). The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>MT and FN performed the experiment. AS and NN collected the data and analyzed it. SG-F wrote the draft and revised it. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The current study was supported by a grant from Shahid Beheshti University of Medical Sciences (Grant number 18934).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</body>
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