<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. 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.2021.791099</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>Inflammatory Cell Composition and Immune-Related microRNA Signature of Temporal Artery Biopsies From Patients With Giant Cell Arteritis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Bolha</surname>
<given-names>Luka</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1498386"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ho&#x10d;evar</surname>
<given-names>Alojzija</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1028297"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sulji&#x10d;</surname>
<given-names>Alen</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Jur&#x10d;i&#x107;</surname>
<given-names>Vesna</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Institute of Pathology, Faculty of Medicine, University of Ljubljana</institution>, <addr-line>Ljubljana</addr-line>, <country>Slovenia</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Rheumatology, University Medical Centre Ljubljana</institution>, <addr-line>Ljubljana</addr-line>, <country>Slovenia</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Faculty of Medicine, University of Ljubljana</institution>, <addr-line>Ljubljana</addr-line>, <country>Slovenia</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana</institution>, <addr-line>Ljubljana</addr-line>, <country>Slovenia</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Yoshihiko Usui, Tokyo Medical University Hospital, Japan</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Gary Reynolds, Newcastle University, United Kingdom; Elisabeth Brouwer, University Medical Center Groningen, Netherlands</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Vesna Jur&#x10d;i&#x107;, <email xlink:href="mailto:vesna.jurcic@mf.uni-lj.si">vesna.jurcic@mf.uni-lj.si</email>; <uri xlink:href="https://orcid.org/0000-0003-1231-5600">orcid.org/0000-0003-1231-5600</uri>
</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>23</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>791099</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>10</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>11</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Bolha, Ho&#x10d;evar, Sulji&#x10d; and Jur&#x10d;i&#x107;</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Bolha, Ho&#x10d;evar, Sulji&#x10d; and Jur&#x10d;i&#x107;</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Objectives</title>
<p>The aim of this study was to quantitatively assess distinct immune cell subsets comprising inflammatory infiltrate in temporal artery biopsies (TABs) from patients with giant cell arteritis (GCA), and to link the obtained histopathological data with expression profiles of immune-related microRNAs (miRNAs).</p>
</sec>
<sec>
<title>Methods</title>
<p>The study included 68 formalin-fixed, paraffin-embedded TABs from treatment-na&#xef;ve patients, including 30 histologically positive GCA and 16 negative GCA TABs, and 22 control non-GCA TABs. Quantitative assessment of histological parameters was performed using histopathological and immunohistochemical techniques. miRNA expression analysis was performed by quantitative real-time PCR.</p>
</sec>
<sec>
<title>Results</title>
<p>Intense transmural mononuclear inflammatory infiltrates in TAB-positive GCA arteries were predominantly composed of CD3<sup>+</sup>, CD4<sup>+</sup> and CD8<sup>+</sup> T lymphocytes, and CD68<sup>+</sup> macrophages, accompanied by a strong nuclear overexpression of the nuclear factor of activated T cells, cytoplasmic 1 (NFATC) in the lymphocyte infiltrate fraction. Furthermore, TAB-positive GCA arteries were characterized by significant overexpression of nine pro-inflammatory miRNAs (miR-132-3p/-142-3p/-142-5p/-155-5p/-210-3p/-212-3p/-326/-342-5p/-511-5p) and a significant under-expression of six regulatory immune-related miRNAs (miR-30a-5p/-30b-5p/-30c-5p/-30d-5p/-30e-5p/-124-3p), whose expression levels significantly associated with most evaluated histopathological parameters. Notably, we revealed miR-132-3p/-142-3p/-142-5p/-155-5p/-212-3p/-511-5p as major promoters of arterial inflammation and miR-30a-5p/-30c-5p/-30d-5p as putative regulators of NFATC signaling in TAB-positive GCA arteries.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Overall, we demonstrated that an altered arterial tissue-specific pro-inflammatory miRNA signature favors enhanced T cell-driven inflammation and macrophage activity in TAB-positive GCA arteries. Moreover, dysregulation of several immune-related miRNAs seems to contribute crucially to GCA pathogenesis, through impairing their regulatory activity towards T cell-mediated immune responses driven by the calcineurin (CaN)/NFAT signaling pathway, indicating their therapeutic, diagnostic and prognostic potential.</p>
</sec>
</abstract>
<kwd-group>
<kwd>giant cell arteritis</kwd>
<kwd>temporal artery biopsy</kwd>
<kwd>inflammatory infiltrate</kwd>
<kwd>inflammation</kwd>
<kwd>microRNA</kwd>
</kwd-group>
<contract-sponsor id="cn001">Javna Agencija za Raziskovalno Dejavnost RS<named-content content-type="fundref-id">10.13039/501100004329</named-content>
</contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="50"/>
<page-count count="13"/>
<word-count count="9153"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Highlights</title>
<list list-type="bullet">
<list-item>
<p>NFATC is strongly overexpressed in GCA inflammatory infiltrates, predominantly comprising CD3<sup>+</sup>, CD4<sup>+</sup> and CD68<sup>+</sup> cells.</p>
</list-item>
<list-item>
<p>Overexpressed miR-132-3p/-142-3p/-142-5p/-155-5p/-212-3p/-511-5p emerged as major promoters of T cell- and macrophage-driven inflammation in GCA lesions.</p>
</list-item>
<list-item>
<p>Under-expression of miR-30a-5p/-30b-5p/-30c-5p/-30d-5p/-30e-5p/-124-3p may contribute to aberrant T cell functions driven by the CaN/NFAT signaling pathway.</p>
</list-item>
</list>
</sec>
<sec id="s2">
<title>Introduction</title>
<p>Giant cell arteritis (GCA) is a systemic vasculitis affecting large- and medium-sized arteries, especially the extracranial branches of the carotid artery and the aorta (<xref ref-type="bibr" rid="B1">1</xref>). GCA is clinically characterized by ischemic symptoms and complications such as headache, jaw claudication, visual loss and ischemic stroke (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>) and systemic inflammation (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>Histopathological changes in temporal artery biopsies (TABs) from GCA patients include a transmural, frequently granulomatous mononuclear inflammatory cell infiltrate, disruption of the internal elastic lamina and intimal thickening (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B4">4</xref>). To date, there have been only limited studies focusing on a detailed characterization of the inflammatory infiltrate composition, which varied according to the presence of granulomas, B lymphocytes, CD8<sup>+</sup> T lymphocytes and granulocytes (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>). Moreover, there are no data on the temporal relationship between the composition and intensity of the TAB inflammatory infiltrate, duration of GCA and elevated levels of systemic inflammatory mediators and signs of inflammation in GCA patients, including erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), acute phase serum amyloid A protein (A-SAA), peripheral blood thrombocytes, hemoglobin and fibrinogen (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B13">13</xref>).</p>
<p>The current concept of GCA pathogenesis suggests the initial activation of the <italic>vasa vasorum</italic> and resident vascular dendritic cells in the adventitia of the affected arteries, followed by infiltration, activation and differentiation of CD4<sup>+</sup> T cells into IFN-&#x3b3;-secreting Th1 and IL-17-secreting Th17 cells. Subsequently, monocytes are recruited to the arterial media, differentiating into macrophages and forming multinucleated giant cells (MGCs) (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B8">8</xref>). In addition, IFN-&#x3b3; induces the production of several chemokines and thus triggers the recruitment of CD8<sup>+</sup> T cells (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B9">9</xref>), whose implication and prognostic value in GCA have been determined previously, linking the intensity of the CD8<sup>+</sup> T cell infiltrate in TABs with the severity of the disease (<xref ref-type="bibr" rid="B9">9</xref>). The response of CD8<sup>+</sup> T, Th1 and Th17 cells to glucocorticoid therapy in GCA patients differs. Whereas glucocorticoids reduce the number of CD8<sup>+</sup> T and Th17 cells in GCA lesions, Th1 cells persist in treated patients and are associated with chronically persistent vascular lesions (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B12">12</xref>). In contrast to CD3<sup>+</sup>, CD4<sup>+</sup> and CD8<sup>+</sup> T cells and macrophages, the presence, intensity and significance of other inflammatory cells in TAB inflammatory infiltrate (e.g. CD20<sup>+</sup> B cells and granulocytes) remains poorly investigated (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B8">8</xref>). However, two studies have linked the presence of B cell aggregates with the so-called artery tertiary lymphoid organs in the aorta (<xref ref-type="bibr" rid="B10">10</xref>) and TABs from GCA patients (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>Several studies have suggested a prominent role of epigenetics in GCA pathogenesis (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>). DNA methylation analysis has revealed that most hypomethylated genes in GCA-affected TABs relate to aberrant T cell functions, promoted predominantly by the enhanced calcineurin (CaN)/nuclear factor of activated T cells (NFAT) signaling (<xref ref-type="bibr" rid="B16">16</xref>). Furthermore, dysregulation of microRNAs (miRNAs), a group of small non-coding RNAs involved in post-transcriptional regulation of gene expression, has been associated with inflammation and vascular remodeling in GCA (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B17">17</xref>). Our previous study on identifying miRNAs implicated in GCA pathogenesis (<xref ref-type="bibr" rid="B14">14</xref>) revealed several altered miRNAs, which have been previously associated with immune cell functions and pathways, including the miR-30 family, miR-124, the miR-132/212 cluster, miR-142, miR-155-5p, miR-210-3p, miR-326, miR-342-5p and miR-511-5p (<xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B30">30</xref>). Since there is currently no in-depth information available on dysregulated miRNAs that would relate to the distinct cellular composition of inflammatory infiltrates in TABs from GCA patients (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>), we performed a thorough quantitative histopathological evaluation of TABs from GCA and non-GCA patients, assessed GCA patients&#x2019; clinical data, and linked the obtained results with expression profiles of the selected aforementioned &#x201c;immune-related&#x201d; miRNAs. An important advantage of our study was the inclusion of TABs from treatment-na&#xef;ve GCA patients, which enabled an unbiased insight into the pathogenesis of the disease.</p>
</sec>
<sec id="s3" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s3_1">
<title>Patients</title>
<p>The study included TABs from 46 clinically diagnosed treatment-na&#xef;ve GCA patients, comprising 30 histologically positive and 16 negative TABs. The control non-GCA cohort included histologically negative TABs from 22 age-matched patients with a clinical suspicion of GCA, which was discarded after a complete patient work-up and follow-up. TABs were collected between September 2011 and December 2015, and GCA diagnosis established according to the American College of Rheumatology 1990 classification criteria (<xref ref-type="bibr" rid="B31">31</xref>). All patients were treatment-na&#xef;ve prior to the TAB procedure. Notably, all enrolled patients had clinical suspicion of GCA and had undergone a TAB within 24 h from referral to the rheumatologist. Therapy commenced after performed TAB, when GCA diagnosis was proven. The study was performed in accordance with the Declaration of Helsinki and was approved by the National Medical Ethics Committee of the Republic of Slovenia [approval #65/01/17].</p>
</sec>
<sec id="s3_2">
<title>Histopathology and Immunohistochemistry</title>
<p>For histopathological evaluation, hematoxylin and eosin staining (HE) of 4-&#xb5;m thick sections of formalin-fixed, paraffin-embedded (FFPE) TABs was performed. All TABs were assessed histologically and demonstrated well preserved cellular detail. Approximately 10 HE sections of each TAB were examined. The following morphologically distinctive inflammatory cells were evaluated: MGCs, eosinophil and neutrophil granulocytes, and plasma cells. Lymphocyte subtypes, macrophages and cells expressing the NFAT, cytoplasmic 1 (NFATC) were identified immunohistochemically in a Ventana Benchmark automated slide stainer. Tissue sections were pre-treated with Cell Conditioning Solution 1 (CC1), and the following antibodies were used: CD3 (clone 2GV6, Ventana Medical Systems, Tucson, AZ, USA, ready to use antibody (RTU)); CD4 (clone SP35, Ventana Medical Systems, Tucson, AZ, USA, RTU); CD8 (clone SP57, Ventana Medical Systems, Tucson, AZ, USA, RTU); CD20 (clone L26, Dako, Denmark, dilution 1:4000); CD68 (clone PG-M1, Dako, Denmark, dilution 1:50) and NFATC (clone ab2796, Abcam, Cambridge, UK, dilution 1:50). Tissue sections were then treated with biotinylated secondary antibody, followed by incubation with peroxidase conjugated streptavidin (iVIEW&#x2122; DAB Detection Kit, Ventana Medical System, Tucson, AZ, USA). Visualization of the immunoreaction was achieved by using 3.3&#x2019;-diaminobenzidine. Counterstaining was performed with hematoxylin. Immunostaining exhibited a brown nuclear reaction for NFATC and brown cytoplasmic reaction for other antibodies. Negative controls, omitting the primary antibodies, were included along with each run of samples.</p>
<p>Densities of CD3<sup>+</sup>, CD4<sup>+</sup>, CD8<sup>+</sup>, CD20<sup>+</sup> and NFATC<sup>+</sup> cells were assessed using an image analysis system (Cell and Tissue Analysis, Leica, Germany) and expressed as an average number of cells per mm<sup>2</sup>. CD68<sup>+</sup> macrophages had indistinct borders and could not be counted in heavy infiltrates, so we adopted the following scoring system: 1 = fewer than 10 cells per mm<sup>2</sup>, 2 = 10&#x2013;30 cells per mm<sup>2</sup>, 3 = heavy infiltrate involving &lt; 50% arterial wall cross-sectional area, and 4 = heavy infiltrate involving &gt; 50% arterial wall cross-sectional area. Due to the relatively small number of MGCs, eosinophil and neutrophil granulocytes, and plasma cells, we evaluated the maximal number of these cells per high power field (HPF; 400-fold magnification) using the following scoring system: 0 = no infiltrate, 1 = mild infiltrate (1&#x2013;3 cells/HPF), 2 = moderate infiltrate (4&#x2013;9 cells/HPF), and 3 = severe infiltrate (&#x2265; 10 cells/HPF). In addition, we determined the CD4<sup>+</sup>:CD8<sup>+</sup> T cell ratio and the percentage of CD20<sup>+</sup> B cells from the total number of lymphocytes (T and B, meaning the sum of CD3<sup>+</sup> and CD20<sup>+</sup> cells, respectively). The NFATC<sup>+</sup>:CD4<sup>+</sup> cell ratio was also determined from the obtained data.</p>
</sec>
<sec id="s3_3">
<title>RNA Isolation</title>
<p>Total RNA was isolated from 10 10-&#xb5;m thick sections of FFPE TAB samples with an AllPrep<sup>&#xae;</sup> DNA/RNA FFPE Kit (80234, Qiagen, Germany), as described previously (<xref ref-type="bibr" rid="B14">14</xref>). Isolated RNA was stored at &#x2013;80&#xb0;C.</p>
</sec>
<sec id="s3_4">
<title>Reverse Transcription and Quantitative Real-Time PCR</title>
<p>Reverse transcription was performed in 10 &#xb5;l reaction volumes with the miRCURY LNA RT Kit (339340, Qiagen, Germany), as described previously (<xref ref-type="bibr" rid="B14">14</xref>). Quantitative real-time PCR (qPCR) analysis of miRNA expression was performed on a total of 46 TABs from treatment-na&#xef;ve GCA patients and 22 TABs from non-GCA patient controls. qPCR was performed in 10 &#xb5;l reaction mixtures on the Rotor-Gene Q real-time PCR cycler (Qiagen, Germany), with miRCURY SYBR Green PCR Kit (339347, Qiagen, Germany) and miRCURY LNA miRNA PCR Assays (339306; Qiagen, Germany), as previously described (<xref ref-type="bibr" rid="B14">14</xref>). Relative miRNA fold change was calculated using the 2<sup>-&#x394;&#x394;Ct</sup> method (<xref ref-type="bibr" rid="B32">32</xref>). Fifteen candidate miRNAs were selected based on our previously performed miRNA expression profiling in TAB-positive GCA arteries (<xref ref-type="bibr" rid="B14">14</xref>) and literature mining focused on GCA-related immune responses, involving T and B cells, macrophages, inflammatory mediators and signaling pathways. Due to their prominent role in inflammation, according to the literature and relevant miRNA databases, we addressed the selected set of miRNAs as &#x201c;immune-related&#x201d; and/or &#x201c;pro-inflammatory&#x201d; throughout the manuscript. miRNA primer assays included in the analysis are listed in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>.</p>
</sec>
<sec id="s3_5">
<title>Computational Analysis</title>
<p>The miRDB database (<xref ref-type="bibr" rid="B33">33</xref>) and the STRING v11.0 online prediction tool (<xref ref-type="bibr" rid="B34">34</xref>) were used for identification of miRNA gene targets and to assess interactions between proteins of identified gene targets, respectively. Gene targets with miRDB target prediction scores 95&#x2013;100 were included for analysis with the STRING online tool, where the highest confidence score (0.900) was used for all protein-protein interaction predictions.</p>
</sec>
<sec id="s3_6">
<title>Statistical Analysis</title>
<p>Statistical analyses were performed with IBM SPSS Statistics 24.0 software (IBM Corporation, USA). To assess the normality of data distribution, the Q&#x2013;Q plots, Kolmogorov-Smirnov and Shapiro-Wilk tests were used. Differences in histopathological, laboratory and clinical parameters, and relative miRNA expression levels between patient groups were statistically evaluated using the Mann-Whitney <italic>U</italic> test. Associations between patient characteristics and miRNA expression levels were evaluated with Spearman&#x2019;s (<italic>&#x3c1;</italic>) correlation coefficients. A <italic>p</italic>-value of &lt; 0.05 was considered statistically significant in all cases.</p>
</sec>
</sec>
<sec id="s4">
<title>Results</title>
<sec id="s4_1">
<title>Patients</title>
<p>Patient characteristics are presented in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. Overall, there were no significant differences in patients&#x2019; gender, age at diagnosis or symptom duration time between TAB-positive and TAB-negative GCA and non-GCA patients (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). There were also no significant differences in levels of evaluated clinical laboratory parameters, including ESR, CRP, platelet count, hemoglobin and fibrinogen, between TAB-positive and TAB-negative GCA patients (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). A moderate significant correlation was found between levels of most laboratory parameters of GCA patients (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S2</bold>
</xref>). Of evaluated clinical characteristics, we found significant differences only in the occurrence of jaw claudication between GCA patients with positive and negative TABs (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Patient characteristics.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Characteristic</th>
<th valign="top" align="center">GCA </th>
<th valign="top" align="center">GCA </th>
<th valign="top" align="center">Non-GCA </th>
<th valign="top" align="center"><italic>p</italic>-value<xref ref-type="table-fn" rid="fnT1_1">
<sup>a</sup>
</xref></th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">TAB-positive</th>
<th valign="top" align="center">TAB-negative</th>
<th valign="top" align="center">TAB-negative</th>
<th valign="top" align="center"/>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">(n = 30)</th>
<th valign="top" align="center">(n = 16)</th>
<th valign="top" align="center">(n = 22)</th>
<th valign="top" align="center"/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Gender (male/female)</td>
<td valign="top" align="center">8/22</td>
<td valign="top" align="center">8/8</td>
<td valign="top" align="center">4/18</td>
<td valign="top" align="center">0.118</td>
</tr>
<tr>
<td valign="top" align="left">Age at diagnosis [years]</td>
<td valign="top" align="center">73 (55&#x2013;89)</td>
<td valign="top" align="center">73 (57&#x2013;92)</td>
<td valign="top" align="center">73 (58&#x2013;87)</td>
<td valign="top" align="center">0.475</td>
</tr>
<tr>
<td valign="top" align="left">Symptom duration [days]<xref ref-type="table-fn" rid="fnT1_2">
<sup>b</sup>
</xref>
</td>
<td valign="top" align="center">30 (2&#x2013;180)</td>
<td valign="top" align="center">21 (3&#x2013;120)</td>
<td valign="top" align="center">21 (5&#x2013;365)<xref ref-type="table-fn" rid="fnT1_3">
<sup>c</sup>
</xref>
</td>
<td valign="top" align="center">0.403</td>
</tr>
<tr>
<td valign="top" align="left">CD3<sup>+</sup> T lymphocytes [cells/mm<sup>2</sup>]</td>
<td valign="top" align="center">226.7 (69.3&#x2013;375)***</td>
<td valign="top" align="center">4.9 (1.3&#x2013;10.3)***</td>
<td valign="top" align="center">1.3 (0&#x2013;3.3)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">CD4<sup>+</sup> T lymphocytes [cells/mm<sup>2</sup>]</td>
<td valign="top" align="center">159.3 (50.2&#x2013;264.3)***</td>
<td valign="top" align="center">4.9 (1.7&#x2013;11.5)***</td>
<td valign="top" align="center">1.6 (0&#x2013;4)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">CD8<sup>+</sup> T lymphocytes [cells/mm<sup>2</sup>]</td>
<td valign="top" align="center">96.5 (24.8&#x2013;157.3)***</td>
<td valign="top" align="center">1.4 (0&#x2013;3.3)**</td>
<td valign="top" align="center">0.1 (0&#x2013;2)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">% CD8<sup>+</sup> T lymphocytes<xref ref-type="table-fn" rid="fnT1_4">
<sup>d</sup>
</xref>
</td>
<td valign="top" align="center">35 (27.1&#x2013;42.4)***</td>
<td valign="top" align="center">19.4 (0&#x2013;30)</td>
<td valign="top" align="center">4.6 (0&#x2013;38.5)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">CD4<sup>+</sup>:CD8<sup>+</sup> T lymphocyte ratio</td>
<td valign="top" align="center">1.9 (1.4&#x2013;2.7)***</td>
<td valign="top" align="center">3.3 (2.3&#x2013;8.5)</td>
<td valign="top" align="center">5.7 (1.6&#x2013;10)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">NFATC<sup>+</sup> cells [cells/mm<sup>2</sup>]</td>
<td valign="top" align="center">176.6 (49.1&#x2013;300.6)***</td>
<td valign="top" align="center">5.1 (1.2&#x2013;14)***</td>
<td valign="top" align="center">0 (0&#x2013;3)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">NFATC<sup>+</sup>:CD4<sup>+</sup> cell ratio</td>
<td valign="top" align="center">1.1 (0.6&#x2013;1.4)***</td>
<td valign="top" align="center">0.9 (0.6&#x2013;1.6)***</td>
<td valign="top" align="center">0 (0&#x2013;1)</td>
<td valign="top" align="center">0.062</td>
</tr>
<tr>
<td valign="top" align="left">CD20<sup>+</sup> B lymphocytes [cells/mm<sup>2</sup>]</td>
<td valign="top" align="center">25.1 (3.5&#x2013;167.5)***</td>
<td valign="top" align="center">0.8 (0&#x2013;1.7)***</td>
<td valign="top" align="center">0 (0&#x2013;0.3)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">% CD20<sup>+</sup> B lymphocytes<xref ref-type="table-fn" rid="fnT1_5">
<sup>e</sup>
</xref>
</td>
<td valign="top" align="center">8.8 (3.1&#x2013;29)***</td>
<td valign="top" align="center">9 (0&#x2013;17.9)***</td>
<td valign="top" align="center">0 (0&#x2013;7.6)</td>
<td valign="top" align="center">0.678</td>
</tr>
<tr>
<td valign="top" align="left">CD68<sup>+</sup> macrophages [score]</td>
<td valign="top" align="center">3 (1&#x2013;4)***</td>
<td valign="top" align="center">1 (1&#x2013;1)**</td>
<td valign="top" align="center">0.5 (0&#x2013;1)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">MGCs [score]</td>
<td valign="top" align="center">2.5 (0&#x2013;4)***</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Eosinophil granulocytes [score]</td>
<td valign="top" align="center">2 (0&#x2013;3)***</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">ESR [mm/h]</td>
<td valign="top" align="center">84 (41&#x2013;120)</td>
<td valign="top" align="center">78 (28&#x2013;130)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">0.610</td>
</tr>
<tr>
<td valign="top" align="left">CRP [mg/ml]</td>
<td valign="top" align="center">71 (12&#x2013;218)</td>
<td valign="top" align="center">50 (7&#x2013;214)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">0.246</td>
</tr>
<tr>
<td valign="top" align="left">Platelets [10<sup>9</sup>/l]</td>
<td valign="top" align="center">364.5 (190&#x2013;589)</td>
<td valign="top" align="center">321 (147&#x2013;898)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">0.760</td>
</tr>
<tr>
<td valign="top" align="left">Hemoglobin [mg/ml]</td>
<td valign="top" align="center">122.5 (99&#x2013;140)</td>
<td valign="top" align="center">119 (99&#x2013;130)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">0.429</td>
</tr>
<tr>
<td valign="top" align="left">Fibrinogen [mg/ml]</td>
<td valign="top" align="center">7.9 (4.9&#x2013;9.4)</td>
<td valign="top" align="center">8.4 (5.7&#x2013;9.5)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">0.470</td>
</tr>
<tr>
<td valign="top" align="left">Constitutional symptoms; n (%)</td>
<td valign="top" align="center">23/30 (77)</td>
<td valign="top" align="center">11/16 (69)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">0.565</td>
</tr>
<tr>
<td valign="top" align="left">PMR; n (%)</td>
<td valign="top" align="center">6/30 (20)</td>
<td valign="top" align="center">3/16 (19)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">0.920</td>
</tr>
<tr>
<td valign="top" align="left">New headache; n (%)</td>
<td valign="top" align="center">26/30 (87)</td>
<td valign="top" align="center">11/16 (69)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">0.149</td>
</tr>
<tr>
<td valign="top" align="left">Jaw claudication; n (%)</td>
<td valign="top" align="center">17/30 (57)</td>
<td valign="top" align="center">0/16 (0)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Ischemic stroke; n (%)</td>
<td valign="top" align="center">0/30 (0)</td>
<td valign="top" align="center">0/16 (0)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">GCA relapse; n (%)</td>
<td valign="top" align="center">15/30 (50)</td>
<td valign="top" align="center">4/16 (25)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">0.116</td>
</tr>
<tr>
<td valign="top" align="left">Visual disturbances; n (%)</td>
<td valign="top" align="center">8/30 (27)</td>
<td valign="top" align="center">4/16 (25)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">0.903</td>
</tr>
<tr>
<td valign="top" align="left">Permanent visual loss; n (%)</td>
<td valign="top" align="center">2/30 (7)</td>
<td valign="top" align="center">0/16 (0)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">0.296</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>GCA, giant cell arteritis; TAB, temporal artery biopsy; ESR, erythrocyte sedimentation rate; CRP, C-reactive protein; MGC, multinucleated giant cell; PMR, polymyalgia rheumatica; NA, not applicable. Data are presented as median (range), unless otherwise specified. Data were evaluated using the Mann-Whitney U test. A p-value of &lt; 0.05 was considered statistically significant. An asterisk indicates significance to the TAB-negative non-GCA group (**p &lt; 0.01; ***p &lt; 0.001).</p>
</fn>
<fn id="fnT1_1">
<label>a</label>
<p>Statistical significance between GCA patient groups.</p>
</fn>
<fn id="fnT1_2">
<label>b</label>
<p>Duration of symptoms prior GCA diagnosis.</p>
</fn>
<fn id="fnT1_3">
<label>c</label>
<p>Duration of symptoms, which were discarded as GCA after a complete patient work-up and follow-up.</p>
</fn>
<fn id="fnT1_4">
<label>d</label>
<p>Percentage of CD8<sup>+</sup> T lymphocytes among all detected T lymphocytes constituting the inflammatory infiltrate.</p>
</fn>
<fn id="fnT1_5">
<label>e</label>
<p>Percentage of CD20<sup>+</sup> B lymphocytes among all lymphocytes constituting the inflammatory infiltrate.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4_2">
<title>Histopathology</title>
<p>All TAB-positive GCA arteries were characterized by a transmural mononuclear inflammatory cell infiltrate, which was most intense in the adventitia of 8/30 (27%) TABs and more evenly distributed in others. Overall, it was predominantly composed of lymphocytes and macrophages. MGCs were present in 26/30 (87%) TABs. Eosinophil and neutrophil granulocytes and plasma cells were present in 23/30 (77%), 19/30 (63%) and 21/30 (70%) TABs, respectively. One to three eosinophil granulocytes per HPF were focally found in four TABs, 4&#x2013;9 in nine TABs and &#x2265; 10 in 10 TAB-positive GCA arteries (median value 20.5, range 10&#x2013;34 in the latter group).&#xa0;In addition, 1&#x2013;3 neutrophil granulocytes per HPF were&#xa0;present&#xa0;in 13 TABs and 4&#x2013;9 in six TABs. No TAB-positive GCA arteries were characterized by &#x2265; 10 neutrophil granulocytes per HPF. Intimal hyperplasia and disruption of the internal elastic lamina were present in all TAB-positive GCA arteries. Immunohistochemically, there was a predominance of CD3<sup>+</sup> and CD4<sup>+</sup> T lymphocytes and CD68<sup>+</sup> macrophages in the TAB-positive GCA group. In addition, NFATC was highly expressed in lymphocytes and the number of NFATC<sup>+</sup> cells was slightly higher compared to CD4<sup>+</sup> T lymphocytes. No transmural mononuclear inflammatory cell infiltrates were present in TAB-negative GCA and non-GCA arteries, with no MGCs or eosinophil and neutrophil granulocytes. Although small numbers of lymphocytes and macrophages were detected in these two groups using immunohistochemistry, they were apparently absent in HE-stained slides. The median percentage of CD8<sup>+</sup> T cells among all detected T lymphocytes constituting the inflammatory infiltrate was 35% in TAB-positive GCA arteries, 19.4% in TAB-negative GCA arteries and 4.6% in TAB-negative non-GCA arteries (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>), and was significantly higher in the TAB-positive GCA group, compared to the TAB-negative groups (<italic>p</italic> &lt; 0.001). The percentage of CD20<sup>+</sup> B cells comprising the lymphocyte infiltrate fraction was significantly higher in TABs from GCA patients (median 8.8&#x2013;9.0%), compared to the controls (median 0.0%) (<italic>p</italic> &lt; 0.001), although with no significant differences between GCA patient groups (<italic>p</italic> = 0.678) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). All assessed histopathological parameters in TABs from GCA and non-GCA patients are presented in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> and selected representative images of immune cell subsets comprising the inflammatory infiltrate in TAB-positive GCA arteries in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Selected representative images of TAB-positive GCA arteries <bold>(A&#x2013;F)</bold>, TAB-negative GCA arteries <bold>(G, H)</bold> and non-GCA temporal arteries <bold>(I)</bold>. Prominent arterial wall infiltration with CD3<sup>+</sup> <bold>(A)</bold>, CD4<sup>+</sup> <bold>(B)</bold> and NFATC<sup>+</sup> <bold>(C)</bold> cells. In addition to strong staining of lymphocytes, there was also a faint CD4 positivity of macrophages and multinucleated giant cells (arrows) <bold>(B)</bold>. In a majority of biopsies, a significant number of CD8<sup>+</sup> lymphocytes <bold>(D)</bold>, relatively small number of CD20<sup>+</sup> lymphocytes <bold>(E)</bold>, and a variable number of eosinophil granulocytes (arrows) <bold>(F)</bold> were found. Although not apparently present in hematoxylin and eosin (HE) stain <bold>(G)</bold>, some CD3<sup>+</sup> lymphocytes could be found focally segmentally in the adventitia of TAB-negative GCA arteries <bold>(H)</bold>, and a very few in non-GCA temporal arteries of the control group (arrows) <bold>(I)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-12-791099-g001.tif"/>
</fig>
</sec>
<sec id="s4_3">
<title>Interrelation Between Histopathological and Laboratory Parameters in GCA Patients</title>
<p>Spearman&#x2019;s <italic>&#x3c1;</italic> correlation analysis revealed a strong significant correlation between most evaluated histopathological parameters (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). The strongest significant positive correlation emerged between the numbers of infiltrated CD3<sup>+</sup>, CD4<sup>+</sup>, CD8<sup>+</sup> and NFATC<sup>+</sup> cells (all <italic>&#x3c1;</italic> &gt; 0.940; <italic>p</italic> &lt; 0.001), indicating a strong interrelationship among these immune cells in GCA lesions. A&#xa0;strong significant positive correlation was also determined between the numbers of CD3<sup>+</sup>, CD4<sup>+</sup> and CD20<sup>+</sup> cells, and between scores of MGCs and CD68<sup>+</sup> cells (all <italic>&#x3c1;</italic> &gt; 0.902; <italic>p</italic> &lt; 0.001) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Notably, the CD4<sup>+</sup>:CD8<sup>+</sup> T lymphocyte ratio showed a negative correlation with all evaluated histopathological parameters, and had the strongest significant negative correlation with the number of CD8<sup>+</sup> T cells and scores of CD68<sup>+</sup> cells (both <italic>&#x3c1;</italic>&#xa0;= &#x2013;0.812; <italic>p</italic> &lt; 0.001) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Spearman&#x2019;s correlation matrix of associations between histopathological parameters in TABs from GCA patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">CD3<sup>+</sup>
</th>
<th valign="top" align="center">CD4<sup>+</sup>
</th>
<th valign="top" align="center">CD8<sup>+</sup>
</th>
<th valign="top" align="center">CD4<sup>+</sup>:CD8<sup>+</sup>
</th>
<th valign="top" align="center">NFATC<sup>+</sup>
</th>
<th valign="top" align="center">NFATC<sup>+</sup>:CD4<sup>+</sup>
</th>
<th valign="top" align="center">CD20<sup>+</sup>
</th>
<th valign="top" align="center">CD68<sup>+</sup>
</th>
<th valign="top" align="center">MGCs</th>
<th valign="top" align="center">Eosinophils</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">[cells/mm<sup>2</sup>]</th>
<th valign="top" align="center">[cells/mm<sup>2</sup>]</th>
<th valign="top" align="center">[cells/mm<sup>2</sup>]</th>
<th valign="top" align="center">ratio</th>
<th valign="top" align="center">[cells/mm<sup>2</sup>]</th>
<th valign="top" align="center">ratio</th>
<th valign="top" align="center">[cells/mm<sup>2</sup>]</th>
<th valign="top" align="center">[score]</th>
<th valign="top" align="center">[score]</th>
<th valign="top" align="center">[score]</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">CD3<sup>+</sup> [cells/mm<sup>2</sup>]</td>
<td valign="top" align="center">1</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"/>
</tr>
<tr>
<td valign="top" align="left">CD4<sup>+</sup> [cells/mm<sup>2</sup>]</td>
<td valign="top" align="center">0.988***</td>
<td valign="top" align="center">1</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"/>
</tr>
<tr>
<td valign="top" align="left">CD8<sup>+</sup> [cells/mm<sup>2</sup>]</td>
<td valign="top" align="center">0.971***</td>
<td valign="top" align="center">0.954***</td>
<td valign="top" align="center">1</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"/>
</tr>
<tr>
<td valign="top" align="left">CD4<sup>+</sup>:CD8<sup>+</sup> ratio</td>
<td valign="top" align="center">&#x2013;0.717***</td>
<td valign="top" align="center">&#x2013;0.660***</td>
<td valign="top" align="center">&#x2013;0.812***</td>
<td valign="top" align="center">1</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"/>
</tr>
<tr>
<td valign="top" align="left">NFATC<sup>+</sup> [cells/mm<sup>2</sup>]</td>
<td valign="top" align="center">0.959***</td>
<td valign="top" align="center">0.964***</td>
<td valign="top" align="center">0.947***</td>
<td valign="top" align="center">&#x2013;0.694***</td>
<td valign="top" align="center">1</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"/>
</tr>
<tr>
<td valign="top" align="left">NFATC<sup>+</sup>:CD4<sup>+</sup> ratio</td>
<td valign="top" align="center">0.292*</td>
<td valign="top" align="center">0.273</td>
<td valign="top" align="center">0.332*</td>
<td valign="top" align="center">&#x2013;0.241</td>
<td valign="top" align="center">0.477**</td>
<td valign="top" align="center">1</td>
<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">CD20<sup>+</sup> [cells/mm<sup>2</sup>]</td>
<td valign="top" align="center">0.907***</td>
<td valign="top" align="center">0.902***</td>
<td valign="top" align="center">0.897***</td>
<td valign="top" align="center">&#x2013;0.698***</td>
<td valign="top" align="center">0.882***</td>
<td valign="top" align="center">0.329*</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">CD68<sup>+</sup> [score]</td>
<td valign="top" align="center">0.846***</td>
<td valign="top" align="center">0.835***</td>
<td valign="top" align="center">0.884***</td>
<td valign="top" align="center">&#x2013;0.812***</td>
<td valign="top" align="center">0.852***</td>
<td valign="top" align="center">0.365*</td>
<td valign="top" align="center">0.790***</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">MGCs [score]</td>
<td valign="top" align="center">0.846***</td>
<td valign="top" align="center">0.830***</td>
<td valign="top" align="center">0.865***</td>
<td valign="top" align="center">&#x2013;0.781***</td>
<td valign="top" align="center">0.861***</td>
<td valign="top" align="center">0.435**</td>
<td valign="top" align="center">0.785***</td>
<td valign="top" align="center">0.923***</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Eosinophils [score]</td>
<td valign="top" align="center">0.739***</td>
<td valign="top" align="center">0.724***</td>
<td valign="top" align="center">0.777***</td>
<td valign="top" align="center">&#x2013;0.724***</td>
<td valign="top" align="center">0.743***</td>
<td valign="top" align="center">0.364*</td>
<td valign="top" align="center">0.619***</td>
<td valign="top" align="center">0.786***</td>
<td valign="top" align="center">0.881***</td>
<td valign="top" align="center">1</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MGC, multinucleated giant cell. Spearman&#x2019;s correlation coefficients (&#x3c1;) between evaluated histopathological parameters in TABs from 46 GCA patients, including 30 TAB-positive and 16 TAB-negative GCA patients. A p-value of &lt; 0.05 was considered statistically significant (*p &lt; 0.05; **p &lt; 0.01; ***p &lt; 0.001).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>In addition, scores of MGCs and eosinophil granulocytes significantly associated with CRP levels, with <italic>&#x3c1;</italic> = 0.313 (<italic>p</italic> = 0.041) and <italic>&#x3c1;</italic> = 0.344 (<italic>p</italic> = 0.024), respectively (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Overall, there were no other significant associations between the evaluated histopathological and laboratory parameters of GCA patients and the symptom duration of GCA (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Spearman&#x2019;s correlation matrix of associations between symptom duration, histopathological and laboratory parameters of GCA patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Histopathological parameter</th>
<th valign="top" align="center">GCA symptom duration</th>
<th valign="top" align="center">ESR</th>
<th valign="top" align="center">CRP</th>
<th valign="top" align="center">Platelets</th>
<th valign="top" align="center">Hemoglobin</th>
<th valign="top" align="center">Fibrinogen</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">[days]</th>
<th valign="top" align="center">[mm/h]</th>
<th valign="top" align="center">[mg/ml]</th>
<th valign="top" align="center">[10<sup>9</sup>/l]</th>
<th valign="top" align="center">[mg/ml]</th>
<th valign="top" align="center">[mg/ml]</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">CD3<sup>+</sup> [cells/mm<sup>2</sup>]</td>
<td valign="top" align="center">0.144</td>
<td valign="top" align="center">&#x2013;0.050</td>
<td valign="top" align="center">0.195</td>
<td valign="top" align="center">0.048</td>
<td valign="top" align="center">0.164</td>
<td valign="top" align="center">&#x2013;0.011</td>
</tr>
<tr>
<td valign="top" align="left">CD4<sup>+</sup> [cells/mm<sup>2</sup>]</td>
<td valign="top" align="center">0.186</td>
<td valign="top" align="center">&#x2013;0.036</td>
<td valign="top" align="center">0.204</td>
<td valign="top" align="center">0.044</td>
<td valign="top" align="center">0.176</td>
<td valign="top" align="center">&#x2013;0.007</td>
</tr>
<tr>
<td valign="top" align="left">CD8<sup>+</sup> [cells/mm<sup>2</sup>]</td>
<td valign="top" align="center">0.068</td>
<td valign="top" align="center">0.040</td>
<td valign="top" align="center">0.239</td>
<td valign="top" align="center">0.113</td>
<td valign="top" align="center">0.088</td>
<td valign="top" align="center">0.130</td>
</tr>
<tr>
<td valign="top" align="left">CD4<sup>+</sup>:CD8<sup>+</sup> ratio</td>
<td valign="top" align="center">&#x2013;0.046</td>
<td valign="top" align="center">0.076</td>
<td valign="top" align="center">&#x2013;0.263</td>
<td valign="top" align="center">&#x2013;0.003</td>
<td valign="top" align="center">0.025</td>
<td valign="top" align="center">&#x2013;0.132</td>
</tr>
<tr>
<td valign="top" align="left">NFATC<sup>+</sup> [cells/mm<sup>2</sup>]</td>
<td valign="top" align="center">0.161</td>
<td valign="top" align="center">0.027</td>
<td valign="top" align="center">0.213</td>
<td valign="top" align="center">0.085</td>
<td valign="top" align="center">0.184</td>
<td valign="top" align="center">0.041</td>
</tr>
<tr>
<td valign="top" align="left">NFATC<sup>+</sup>:CD4<sup>+</sup> ratio</td>
<td valign="top" align="center">&#x2013;0.079</td>
<td valign="top" align="center">0.190</td>
<td valign="top" align="center">0.209</td>
<td valign="top" align="center">0.188</td>
<td valign="top" align="center">0.106</td>
<td valign="top" align="center">0.280</td>
</tr>
<tr>
<td valign="top" align="left">CD20<sup>+</sup> [cells/mm<sup>2</sup>]</td>
<td valign="top" align="center">0.100</td>
<td valign="top" align="center">&#x2013;0.143</td>
<td valign="top" align="center">0.084</td>
<td valign="top" align="center">0.032</td>
<td valign="top" align="center">0.191</td>
<td valign="top" align="center">0.078</td>
</tr>
<tr>
<td valign="top" align="left">CD68<sup>+</sup> [score]</td>
<td valign="top" align="center">0.091</td>
<td valign="top" align="center">0.024</td>
<td valign="top" align="center">0.248</td>
<td valign="top" align="center">0.128</td>
<td valign="top" align="center">0.038</td>
<td valign="top" align="center">0.220</td>
</tr>
<tr>
<td valign="top" align="left">MGCs [score]</td>
<td valign="top" align="center">0.074</td>
<td valign="top" align="center">0.062</td>
<td valign="top" align="center">
<bold>0.313*</bold>
</td>
<td valign="top" align="center">0.134</td>
<td valign="top" align="center">0.090</td>
<td valign="top" align="center">0.113</td>
</tr>
<tr>
<td valign="top" align="left">Eosinophils [score]</td>
<td valign="top" align="center">&#x2013;0.110</td>
<td valign="top" align="center">0.108</td>
<td valign="top" align="center">
<bold>0.344*</bold>
</td>
<td valign="top" align="center">0.130</td>
<td valign="top" align="center">0.177</td>
<td valign="top" align="center">0.091</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ESR, erythrocyte sedimentation rate; CRP, C-reactive protein; MGC, multinucleated giant cell. Spearman&#x2019;s correlation coefficients (&#x3c1;) between evaluated parameters of 46 GCA patients, including 30 TAB-positive and 16 TAB-negative GCA patients. A p-value of &lt; 0.05 was considered statistically significant (*p &lt; 0.05) (marked in bold).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4_4">
<title>Pro-Inflammatory miRNAs Are Overexpressed in Inflamed GCA Temporal Arteries</title>
<p>We determined a significant 1.3- to 5.9-fold overexpression of the nine selected &#x201c;pro-inflammatory&#x201d; miRNAs (miR-132-3p/-142-3p/-142-5p/-155-5p/-210-3p/-212-3p/-326/-342-5p/-511-5p) in TAB-positive GCA arteries (all <italic>p</italic> &#x2264; 0.043), compared to non-GCA controls (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). Expression levels of miR-132-3p/-142-3p/-142-5p/-155-5p/-212-3p/-342-5p/-511-5p were also significantly higher in TAB-positive GCA arteries, compared to TAB-negative GCA arteries (all <italic>p</italic> &#x2264; 0.006) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). Of the nine miRNAs, miR-342-5p was the only miRNA significantly overexpressed in the TAB-negative GCA group (<italic>p</italic> = 0.04), compared to the controls. Expression profiles of other pro-inflammatory miRNAs did not differ between TAB-negative arteries from GCA and non-GCA patients (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Expression of pro-inflammatory miRNAs in TABs from GCA and non-GCA patients. <bold>(A)</bold> Expression of pro-inflammatory miRNAs in TAB-positive GCA arteries [TAB(+/+), n = 30], TAB-negative GCA arteries [TAB(-/+), n = 16] and non-GCA temporal arteries [TAB(-/-), n = 22]. The bars represent the means of log<sub>2</sub> fold change values &#xb1; S.D. Data were evaluated using the Mann-Whitney <italic>U</italic> test. An asterisk indicates significance to the TAB(-/-) group (*<italic>p</italic> &lt; 0.05; ***<italic>p</italic> &lt; 0.001) and the letter a the significance between the TAB(+/+) and TAB(-/+) groups (<sup>a</sup>
<italic>p</italic> &lt; 0.01; <sup>aa</sup>
<italic>p</italic> &lt; 0.001). <bold>(B)</bold> Association (Spearman&#x2019;s <italic>&#x3c1;</italic> correlation coefficients) between miRNA expression levels and evaluated histopathological parameters in TABs from GCA patients (n = 46). A <italic>p</italic>-value of &lt; 0.05 was considered statistically significant in all cases.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-12-791099-g002.tif"/>
</fig>
</sec>
<sec id="s4_5">
<title>Pro-Inflammatory miRNA Signature Associates With Arterial Wall Immunopathology</title>
<p>When assessing the interrelation between pro-inflammatory miRNA expression levels and quantitatively assessed histopathological parameters in TABs from GCA patients, we found a significant positive correlation between the number of infiltrated CD3<sup>+</sup>, CD4<sup>+</sup>, CD8<sup>+</sup>, NFATC<sup>+</sup> and CD20<sup>+</sup> immune cells and expression levels of miR-142-5p/-132-3p/-142-3p/-212-3p/-511-5p/-155-5p (all <italic>&#x3c1;</italic> &gt; 0.440; <italic>p</italic> &lt; 0.01) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). Moreover, these six miRNAs, together with miR-210-3p/-342-5p, also significantly positively correlated with scores of CD68<sup>+</sup> macrophages, MGCs and eosinophil granulocytes (all <italic>&#x3c1;</italic> &gt; 0.380; <italic>p</italic> &lt; 0.01). Notably, the CD4<sup>+</sup>:CD8<sup>+</sup> T lymphocyte ratio showed a negative correlation with expression levels of all assessed pro-inflammatory miRNAs and miR-155-5p showed the strongest negative correlation (<italic>&#x3c1;</italic> = &#x2013;0.766; <italic>p</italic> &lt; 0.001) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). The NFATC<sup>+</sup>:CD4<sup>+</sup> cell ratio significantly positively correlated only with expression levels of miR-511-5p/-155-5p (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). Overall, expression of miR-155-5p and miR-142-5p showed the strongest Spearman&#x2019;s <italic>&#x3c1;</italic> correlation with 9/10 and 7/10 evaluated histopathological parameters, respectively (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>).</p>
<p>Of the nine pro-inflammatory miRNAs, only miR-326 significantly positively associated with platelet levels in GCA patients. There were no other significant associations between miRNA expression levels, evaluated laboratory parameters and symptom duration of GCA (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S3</bold>
</xref>).</p>
</sec>
<sec id="s4_6">
<title>Altered Expression of the miR-30 Family and miR-124 in Relation to the CaN/NFAT Signaling Pathway and TAB Histopathological Features in GCA</title>
<p>Our previous study on miRNA expression profiling in GCA arterial lesions (<xref ref-type="bibr" rid="B14">14</xref>) revealed several altered miRNAs that could interrelate with the induction of the CaN/NFAT signaling pathway, which plays a central role in T cell-mediated immune responses (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>) and is also involved in GCA pathogenesis (<xref ref-type="bibr" rid="B16">16</xref>). Specifically, we focused on the miR-30 family and miR-124, both previously implicated in CaN/NFAT signaling (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B30">30</xref>). In the present study, we found a significant 1.6- to 6.4-fold under-expression of miR-30a-5p/-30b-5p/-30c-5p/-30d-5p/-30e-5p and miR-124-3p (all <italic>p</italic> &lt; 0.001) in TAB-positive GCA arteries, compared to non-GCA controls (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). Similarly, all miRNAs showed a significant under-expression in TAB-positive GCA arteries (all <italic>p</italic> &lt; 0.001), compared to TAB-negative GCA arteries. As determined, miR-30e-5p was the only significantly differentially expressed miRNA in TAB-negative GCA arteries, compared to the non-GCA controls, and was overexpressed 1.2-fold (<italic>p</italic> = 0.004) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>The miR-30 family and miR-124 in relation to the CaN/NFAT signaling pathway in GCA. <bold>(A)</bold> Expression of miR-30 family members and miR-124-3p in TAB(+/+) [n = 30], TAB(-/+) [n = 16] and TAB(-/-) [n = 22] groups. The bars represent the means of log<sub>2</sub> fold change values &#xb1; S.D. Data were evaluated using the Mann-Whitney <italic>U</italic> test. An asterisk indicates significance to the TAB(-/-) group (**<italic>p</italic> &lt; 0.01; ***<italic>p</italic> &lt; 0.001) and the letter a the significance between the TAB(+/+) and TAB(-/+) groups (<sup>aa</sup>
<italic>p</italic> &lt; 0.001). <bold>(B)</bold> STRING association network and Gene Ontology biological process annotation of top predicted functional partners of the CaN (PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2) and NFAT (NFATC1, NFATC2, NFATC3, NFATC4) family members, involved in the CaN/NFAT signaling pathway. Individual proteins and protein&#x2013;protein interactions with the highest confidence score (0.900) are presented. miRNAs predicted to target the <italic>PPP3R1</italic> and <italic>NFATC1</italic> genes are indicated in red squares. <bold>(C)</bold> Association (Spearman&#x2019;s <italic>&#x3c1;</italic> correlation coefficients) between miRNA expression levels and evaluated histopathological parameters in TABs from GCA patients (n = 46). A <italic>p</italic>-value of &lt; 0.05 was considered statistically significant in all cases. FDR, false discovery rate.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-12-791099-g003.tif"/>
</fig>
<p>By utilizing the miRDB database, we showed that miR-30a-5p/-30b-5p/-30c-5p/-30d-5p/-30e-5p and miR-124-3p are predicted to target the <italic>PPP3R1</italic> and <italic>NFATC1</italic> genes, respectively (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). Both PPP3R1 and NFATC1 are among key components of the CaN/NFAT signaling pathway (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Accordingly, STRING association network and Gene Ontology biological process annotation revealed that PPP3R1 and NFATC1, together with their top predicted functional partners, strongly associate with Th17, Th1 and Th2 cell differentiation, T cell receptor signaling pathway, calcium-mediated signaling and the CaN/NFAT signaling cascade (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>).</p>
<p>Notably, the expression of miR-30a-5p/-30b-5p/-30c-5p/-30d-5p/-30e-5p and miR-124-3p negatively associated with 9/10 evaluated histopathological parameters in TABs from GCA patients, excluding the CD4<sup>+</sup>:CD8<sup>+</sup> T lymphocyte ratio, which showed a significant positive association with all assessed miRNAs (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>). As determined, expression levels of miR-30a-5p/-30c-5p/-30d-5p showed the strongest negative correlation with 7/10 evaluated histopathological parameters (all <italic>&#x3c1;</italic> &lt; &#x2013;0.760; <italic>p</italic> &lt; 0.001), including the number of infiltrated CD3<sup>+</sup>, CD4<sup>+</sup>, CD8<sup>+</sup>, NFATC<sup>+</sup>, CD20<sup>+</sup> and CD68<sup>+</sup> immune cell subsets and MGCs, and also the strongest positive correlation with the CD4<sup>+</sup>:CD8<sup>+</sup> T lymphocyte ratio (all <italic>&#x3c1;</italic> &gt; 0.630; <italic>p</italic> &lt; 0.001) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>). Compared&#xa0;to the miR-30 family, miR-124-3p expression levels showed weaker Spearman&#x2019;s <italic>&#x3c1;</italic> correlation with all the evaluated histopathological parameters (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>). Overall, there were no significant associations among miR-30 family and miR-124 expression profiles, symptom duration of GCA and evaluated laboratory parameters of GCA patients (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S3</bold>
</xref>).</p>
</sec>
<sec id="s4_7">
<title>Differences in Histopathological Parameters and miRNA Expression Levels Between GCA Patients Suffering Headache and Jaw Claudication</title>
<p>To assess clinical significance of TAB immunopathology and miRNA alterations in GCA patients, we compared the evaluated histopathological features and miRNA expression levels between GCA patients experiencing constitutional symptoms, patients with polymyalgia rheumatica (PMR) and patients suffering headache, jaw claudication, GCA relapse and visual disturbances. As determined, patients with headache had a significantly higher number of CD8<sup>+</sup> T lymphocytes present in their TAB inflammatory infiltrate and an increased expression of miR-142 (both miR-142-3p/-5p) (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Notably, inflammatory infiltrate in TABs from GCA patients suffering jaw claudication was characterized by a significantly higher number of CD3<sup>+</sup>, CD4<sup>+</sup>, CD8<sup>+</sup>, NFATC<sup>+</sup>, CD20<sup>+</sup> and CD68<sup>+</sup> inflammatory cells, accompanied by a significantly lower expression of miR-30a-5p/-30b-5p/-30c-5p/-30d-5p/-30e-5p/-124-3p and a significantly higher expression of miR-142-5p/-155-5p/-212-3p, compared to patients without jaw claudication (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). There were no significant differences in histopathological parameters and miRNA expression between GCA patients experiencing constitutional symptoms, PMR, GCA relapse and visual disturbances (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Histopathological parameters and miRNA expression levels in TABs from GCA patients with different clinical characteristics.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" colspan="2" align="center">Constitutional symptoms</th>
<th valign="top" colspan="2" align="center">PMR</th>
<th valign="top" colspan="2" align="center">Headache</th>
<th valign="top" colspan="2" align="center">Jaw claudication</th>
<th valign="top" colspan="2" align="center">GCA relapse</th>
<th valign="top" colspan="2" align="center">Visual disturbances</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Yes</th>
<th valign="top" align="center">No</th>
<th valign="top" align="center">Yes</th>
<th valign="top" align="center">No</th>
<th valign="top" align="center">Yes</th>
<th valign="top" align="center">No</th>
<th valign="top" align="center">Yes</th>
<th valign="top" align="center">No</th>
<th valign="top" align="center">Yes</th>
<th valign="top" align="center">No</th>
<th valign="top" align="center">Yes</th>
<th valign="top" align="center">No</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">(n = 34)</th>
<th valign="top" align="center">(n = 12)</th>
<th valign="top" align="center">(n = 9)</th>
<th valign="top" align="center">(n = 37)</th>
<th valign="top" align="center">(n = 37)</th>
<th valign="top" align="center">(n = 9)</th>
<th valign="top" align="center">(n = 17)</th>
<th valign="top" align="center">(n = 29)</th>
<th valign="top" align="center">(n = 19)</th>
<th valign="top" align="center">(n = 27)</th>
<th valign="top" align="center">(n = 12)</th>
<th valign="top" align="center">(n = 34)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">CD3<sup>+</sup> [cells/mm<sup>2</sup>]</td>
<td valign="top" align="center">120.5 (1.3&#x2013;375)</td>
<td valign="top" align="center">197.9 (3&#x2013;329.1)</td>
<td valign="top" align="center">116 (1.3&#x2013;325)</td>
<td valign="top" align="center">139.7 (1.3&#x2013;375)</td>
<td valign="top" align="center">182.5 (1.3&#x2013;375)</td>
<td valign="top" align="center">10 (1.3&#x2013;218.3)</td>
<td valign="top" align="center">
<bold>235 (69.3&#x2013;375)**</bold>
</td>
<td valign="top" align="center">10 (1.3&#x2013;340)</td>
<td valign="top" align="center">125 (1.3&#x2013;312.7)</td>
<td valign="top" align="center">139.7 (1.3&#x2013;375)</td>
<td valign="top" align="center">161.7 (3.4&#x2013;321)</td>
<td valign="top" align="center">132.4 (1.3&#x2013;375)</td>
</tr>
<tr>
<td valign="top" align="left">CD4<sup>+</sup> [cells/mm<sup>2</sup>]</td>
<td valign="top" align="center">89.3 (1.7&#x2013;264.3)</td>
<td valign="top" align="center">138.8 (3.8&#x2013;230.9)</td>
<td valign="top" align="center">86.1 (1.7&#x2013;264.3)</td>
<td valign="top" align="center">103.6 (1.7&#x2013;260.2)</td>
<td valign="top" align="center">127.3 (1.7&#x2013;264.3)</td>
<td valign="top" align="center">11 (1.7&#x2013;157.2)</td>
<td valign="top" align="center">
<bold>161.4 (50.2&#x2013;264.3)**</bold>
</td>
<td valign="top" align="center">11 (1.7&#x2013;230.9)</td>
<td valign="top" align="center">92.5 (1.7&#x2013;243.2)</td>
<td valign="top" align="center">119 (1.7&#x2013;264.3)</td>
<td valign="top" align="center">121.2 (3.4&#x2013;230.9)</td>
<td valign="top" align="center">98.1 (1.7&#x2013;264.3)</td>
</tr>
<tr>
<td valign="top" align="left">CD8<sup>+</sup> [cells/mm<sup>2</sup>]</td>
<td valign="top" align="center">45.1 (0&#x2013;148.8)</td>
<td valign="top" align="center">81.5 (0&#x2013;157.3)</td>
<td valign="top" align="center">42 (0.2&#x2013;126)</td>
<td valign="top" align="center">66 (0&#x2013;157.3)</td>
<td valign="top" align="center">
<bold>71 (0&#x2013;157.3)*</bold>
</td>
<td valign="top" align="center">3.3 (0&#x2013;81.5)</td>
<td valign="top" align="center">
<bold>90.3 (24.8&#x2013;157.3)**</bold>
</td>
<td valign="top" align="center">2.5 (0&#x2013;148)</td>
<td valign="top" align="center">45.2 (0&#x2013;148)</td>
<td valign="top" align="center">55 (0&#x2013;157.3)</td>
<td valign="top" align="center">58.1 (0&#x2013;117.8)</td>
<td valign="top" align="center">50.1 (0&#x2013;157.3)</td>
</tr>
<tr>
<td valign="top" align="left">CD4<sup>+</sup>:CD8<sup>+</sup> ratio</td>
<td valign="top" align="center">2.1 (1.5&#x2013;8.5)</td>
<td valign="top" align="center">2 (1.4&#x2013;5.9)</td>
<td valign="top" align="center">2.1 (1.5&#x2013;8.5)</td>
<td valign="top" align="center">2 (1.4&#x2013;4.6)</td>
<td valign="top" align="center">2 (1.4&#x2013;5.9)</td>
<td valign="top" align="center">2.2 (1.6&#x2013;8.5)</td>
<td valign="top" align="center">2 (1.4&#x2013;2.7)</td>
<td valign="top" align="center">2.2 (1.4&#x2013;8.5)</td>
<td valign="top" align="center">1.9 (1.4&#x2013;4.6)</td>
<td valign="top" align="center">2.2 (1.4&#x2013;8.5)</td>
<td valign="top" align="center">2.2 (1.7&#x2013;5.9)</td>
<td valign="top" align="center">2 (1.4&#x2013;8.5)</td>
</tr>
<tr>
<td valign="top" align="left">NFATC<sup>+</sup> [cells/mm<sup>2</sup>]</td>
<td valign="top" align="center">83 (1.2&#x2013;300.6)</td>
<td valign="top" align="center">146.8 (3.5&#x2013;288.9)</td>
<td valign="top" align="center">79 (1.7&#x2013;227.9)</td>
<td valign="top" align="center">121.3 (1.2&#x2013;300.6)</td>
<td valign="top" align="center">140.6 (1.2&#x2013;300.6)</td>
<td valign="top" align="center">8.3 (1.7&#x2013;180.9)</td>
<td valign="top" align="center">
<bold>152.9 (49.1&#x2013;300.6)**</bold>
</td>
<td valign="top" align="center">8.3 (1.2&#x2013;262.7)</td>
<td valign="top" align="center">87 (1.2&#x2013;296.3)</td>
<td valign="top" align="center">140.6 (1.7&#x2013;300.6)</td>
<td valign="top" align="center">100.2 (2&#x2013;296.3)</td>
<td valign="top" align="center">108.4 (1.2&#x2013;300.6)</td>
</tr>
<tr>
<td valign="top" align="left">NFATC<sup>+</sup>:CD4<sup>+</sup> ratio</td>
<td valign="top" align="center">1 (0.6&#x2013;1.6)</td>
<td valign="top" align="center">1.2 (0.7&#x2013;1.6)</td>
<td valign="top" align="center">1 (0.7&#x2013;1.4)</td>
<td valign="top" align="center">1.1 (0.6&#x2013;1.6)</td>
<td valign="top" align="center">1 (0.6&#x2013;1.6)</td>
<td valign="top" align="center">1 (0.6&#x2013;1.4)</td>
<td valign="top" align="center">1 (0.6&#x2013;1.4)</td>
<td valign="top" align="center">1 (0.6&#x2013;1.6)</td>
<td valign="top" align="center">1.2 (0.6&#x2013;1.5)</td>
<td valign="top" align="center">1 (0.6&#x2013;1.6)</td>
<td valign="top" align="center">0.9 (0.6&#x2013;1.4)</td>
<td valign="top" align="center">1.1 (0.6&#x2013;1.6)</td>
</tr>
<tr>
<td valign="top" align="left">CD20<sup>+</sup> [cells/mm<sup>2</sup>]</td>
<td valign="top" align="center">10.8 (0&#x2013;167.5)</td>
<td valign="top" align="center">15.7 (0.3&#x2013;60.2)</td>
<td valign="top" align="center">13 (0.3&#x2013;51)</td>
<td valign="top" align="center">11 (0&#x2013;167.5)</td>
<td valign="top" align="center">13 (0&#x2013;167.5)</td>
<td valign="top" align="center">1.7 (0&#x2013;47)</td>
<td valign="top" align="center">
<bold>18 (3.5&#x2013;167.5)*</bold>
</td>
<td valign="top" align="center">1.3 (0&#x2013;71.3)</td>
<td valign="top" align="center">18 (0&#x2013;69)</td>
<td valign="top" align="center">10 (0&#x2013;167.5)</td>
<td valign="top" align="center">14.5 (0.3&#x2013;71.3)</td>
<td valign="top" align="center">12 (0&#x2013;167.5)</td>
</tr>
<tr>
<td valign="top" align="left">CD68<sup>+</sup> [score]</td>
<td valign="top" align="center">2 (1&#x2013;4)</td>
<td valign="top" align="center">2.5 (1&#x2013;4)</td>
<td valign="top" align="center">2 (1&#x2013;3)</td>
<td valign="top" align="center">2 (1&#x2013;4)</td>
<td valign="top" align="center">2 (1&#x2013;4)</td>
<td valign="top" align="center">1 (1&#x2013;4)</td>
<td valign="top" align="center">
<bold>2 (1&#x2013;4)*</bold>
</td>
<td valign="top" align="center">1 (1&#x2013;4)</td>
<td valign="top" align="center">2 (1&#x2013;4)</td>
<td valign="top" align="center">2 (1&#x2013;4)</td>
<td valign="top" align="center">2 (1&#x2013;4)</td>
<td valign="top" align="center">2 (1&#x2013;4)</td>
</tr>
<tr>
<td valign="top" align="left">MGCs [score]</td>
<td valign="top" align="center">1 (0&#x2013;4)</td>
<td valign="top" align="center">2.5 (0&#x2013;4)</td>
<td valign="top" align="center">1 (0&#x2013;3)</td>
<td valign="top" align="center">1 (0&#x2013;4)</td>
<td valign="top" align="center">2 (0&#x2013;4)</td>
<td valign="top" align="center">0 (0&#x2013;4)</td>
<td valign="top" align="center">2 (0&#x2013;4)</td>
<td valign="top" align="center">0 (0&#x2013;4)</td>
<td valign="top" align="center">1 (0&#x2013;4)</td>
<td valign="top" align="center">1 (0&#x2013;4)</td>
<td valign="top" align="center">1.5 (0&#x2013;4)</td>
<td valign="top" align="center">1 (0&#x2013;4)</td>
</tr>
<tr>
<td valign="top" align="left">Eosinophils [score]</td>
<td valign="top" align="center">0.5 (0&#x2013;3)</td>
<td valign="top" align="center">1 (0&#x2013;3)</td>
<td valign="top" align="center">0 (0&#x2013;3)</td>
<td valign="top" align="center">1 (0&#x2013;3)</td>
<td valign="top" align="center">1 (0&#x2013;3)</td>
<td valign="top" align="center">0 (0&#x2013;3)</td>
<td valign="top" align="center">2 (0&#x2013;3)</td>
<td valign="top" align="center">0 (0&#x2013;3)</td>
<td valign="top" align="center">1 (0&#x2013;3)</td>
<td valign="top" align="center">0 (0&#x2013;3)</td>
<td valign="top" align="center">0.5 (0&#x2013;3)</td>
<td valign="top" align="center">0.5 (0&#x2013;3)</td>
</tr>
<tr>
<td valign="top" align="left">miR-30a-5p</td>
<td valign="top" align="center">&#x2013;2 (&#x2013;3.9 to 0.6)</td>
<td valign="top" align="center">&#x2013;1.9 (&#x2013;4.2 to 0.7)</td>
<td valign="top" align="center">&#x2013;2.4 (&#x2013;3.3 to 0.1)</td>
<td valign="top" align="center">&#x2013;2 (&#x2013;4.2 to 0.7)</td>
<td valign="top" align="center">&#x2013;2.1 (&#x2013;4.2 to 0.7)</td>
<td valign="top" align="center">&#x2013;0.5 (&#x2013;3.3 to 0.2)</td>
<td valign="top" align="center">
<bold>&#x2013;2.5 (&#x2013;3.6 to &#x2013;0.3)**</bold>
</td>
<td valign="top" align="center">&#x2013;0.6 (&#x2013;4.2 to 0.7)</td>
<td valign="top" align="center">&#x2013;2.3 (&#x2013;4.2 to 0.3)</td>
<td valign="top" align="center">&#x2013;2 (&#x2013;3.9 to 0.7)</td>
<td valign="top" align="center">&#x2013;2 (&#x2013;3.6 to 0.7)</td>
<td valign="top" align="center">&#x2013;2.1 (&#x2013;4.2 to 0.6)</td>
</tr>
<tr>
<td valign="top" align="left">miR-30b-5p</td>
<td valign="top" align="center">&#x2013;1.2 (&#x2013;2.8 to 0.4)</td>
<td valign="top" align="center">&#x2013;0.7 (&#x2013;2.4 to 0.3)</td>
<td valign="top" align="center">&#x2013;1 (&#x2013;2.1 to 0)</td>
<td valign="top" align="center">&#x2013;1.1 (&#x2013;2.8 to 0.4)</td>
<td valign="top" align="center">&#x2013;1.3 (&#x2013;2.8 to 0.4)</td>
<td valign="top" align="center">&#x2013;0.4 (&#x2013;1.4 to 0.2)</td>
<td valign="top" align="center">
<bold>&#x2013;1.4 (&#x2013;2.8 to 0)**</bold>
</td>
<td valign="top" align="center">&#x2013;0.3 (&#x2013;2.4 to 0.4)</td>
<td valign="top" align="center">&#x2013;1.3 (&#x2013;2.8 to 0.3)</td>
<td valign="top" align="center">&#x2013;1 (&#x2013;2.4 to 0.4)</td>
<td valign="top" align="center">&#x2013;1.3 (&#x2013;2.4 to 0.1)</td>
<td valign="top" align="center">&#x2013;1 (&#x2013;2.8 to 0.4)</td>
</tr>
<tr>
<td valign="top" align="left">miR-30c-5p</td>
<td valign="top" align="center">&#x2013;1.7 (&#x2013;2.7 to 0.5)</td>
<td valign="top" align="center">&#x2013;1.9 (&#x2013;2.9 to 0.4)</td>
<td valign="top" align="center">&#x2013;1.8 (&#x2013;2.4 to &#x2013;0.1)</td>
<td valign="top" align="center">&#x2013;1.8 (&#x2013;2.9 to 0.5)</td>
<td valign="top" align="center">&#x2013;1.8 (&#x2013;2.9 to 0.5)</td>
<td valign="top" align="center">&#x2013;0.6 (&#x2013;2 to 0.3)</td>
<td valign="top" align="center">
<bold>&#x2013;2.2 (&#x2013;2.7 to &#x2013;0.2)**</bold>
</td>
<td valign="top" align="center">&#x2013;0.3 (&#x2013;2.9 to 0.5)</td>
<td valign="top" align="center">&#x2013;1.8 (&#x2013;2.6 to 0.4)</td>
<td valign="top" align="center">&#x2013;1.7 (&#x2013;2.9 to 0.5)</td>
<td valign="top" align="center">&#x2013;1.7 (&#x2013;2.9 to 0.4)</td>
<td valign="top" align="center">&#x2013;1.8 (&#x2013;2.7 to 0.5)</td>
</tr>
<tr>
<td valign="top" align="left">miR-30d-5p</td>
<td valign="top" align="center">&#x2013;1.2 (&#x2013;2.5 to 0.4)</td>
<td valign="top" align="center">&#x2013;1.4 (&#x2013;2 to 0.3)</td>
<td valign="top" align="center">&#x2013;1.2 (&#x2013;2.4 to &#x2013;0.2)</td>
<td valign="top" align="center">&#x2013;1.4 (&#x2013;2.5 to 0.4)</td>
<td valign="top" align="center">&#x2013;1.4 (&#x2013;2.5 to 0.4)</td>
<td valign="top" align="center">&#x2013;0.6 (&#x2013;1.8 to &#x2013;0.1)</td>
<td valign="top" align="center">
<bold>&#x2013;1.6 (&#x2013;2.5 to &#x2013;0.3)*</bold>
</td>
<td valign="top" align="center">&#x2013;0.6 (&#x2013;2 to 0.4)</td>
<td valign="top" align="center">&#x2013;1.4 (&#x2013;2.5 to 0)</td>
<td valign="top" align="center">&#x2013;1.1 (&#x2013;2.4 to 0.4)</td>
<td valign="top" align="center">&#x2013;1.5 (&#x2013;2.1 to 0.3)</td>
<td valign="top" align="center">&#x2013;1.1 (&#x2013;2.5 to 0.4)</td>
</tr>
<tr>
<td valign="top" align="left">miR-30e-5p</td>
<td valign="top" align="center">&#x2013;0.5 (&#x2013;1.4 to 0.7)</td>
<td valign="top" align="center">&#x2013;0.6 (&#x2013;1 to 0.4)</td>
<td valign="top" align="center">&#x2013;0.4 (&#x2013;1 to 0.4)</td>
<td valign="top" align="center">&#x2013;0.6 (&#x2013;1.4 to 0.7)</td>
<td valign="top" align="center">&#x2013;0.7 (&#x2013;1.4 to 0.7)</td>
<td valign="top" align="center">0 (&#x2013;0.8 to 0.4)</td>
<td valign="top" align="center">
<bold>&#x2013;0.7 (&#x2013;1.4 to 0.2)**</bold>
</td>
<td valign="top" align="center">0 (&#x2013;1.3 to 0.7)</td>
<td valign="top" align="center">&#x2013;0.6 (&#x2013;1.4 to 0.4)</td>
<td valign="top" align="center">&#x2013;0.4 (&#x2013;1.1 to 0.7)</td>
<td valign="top" align="center">&#x2013;0.7 (&#x2013;1.1 to 0.4)</td>
<td valign="top" align="center">&#x2013;0.4 (&#x2013;1.4 to 0.7)</td>
</tr>
<tr>
<td valign="top" align="left">miR-124-3p</td>
<td valign="top" align="center">&#x2013;1.9 (&#x2013;3.8 to 1)</td>
<td valign="top" align="center">&#x2013;1.3 (&#x2013;2.9 to 0.4)</td>
<td valign="top" align="center">&#x2013;1.8 (&#x2013;2.9 to 0.5)</td>
<td valign="top" align="center">&#x2013;1.7 (&#x2013;3.8 to 1)</td>
<td valign="top" align="center">&#x2013;1.8 (&#x2013;3.8 to 1)</td>
<td valign="top" align="center">&#x2013;0.8 (&#x2013;2.1 to 1)</td>
<td valign="top" align="center">
<bold>&#x2013;2 (&#x2013;3.8 to 0.1)*</bold>
</td>
<td valign="top" align="center">&#x2013;1 (&#x2013;2.9 to 1)</td>
<td valign="top" align="center">&#x2013;1.7 (&#x2013;2.7 to 0.7)</td>
<td valign="top" align="center">&#x2013;1.8 (&#x2013;3.8 to 1)</td>
<td valign="top" align="center">&#x2013;2 (&#x2013;2.9 to 0.5)</td>
<td valign="top" align="center">&#x2013;1.6 (&#x2013;3.8 to 1)</td>
</tr>
<tr>
<td valign="top" align="left">miR-132-3p</td>
<td valign="top" align="center">1 (&#x2013;0.3 to 2.1)</td>
<td valign="top" align="center">0.8 (&#x2013;0.6 to 2)</td>
<td valign="top" align="center">0.6 (&#x2013;0.2 to 1.6)</td>
<td valign="top" align="center">1.1 (&#x2013;0.6 to 2)</td>
<td valign="top" align="center">1.1 (&#x2013;0.6 to 2.1)</td>
<td valign="top" align="center">0.7 (0.3&#x2013;1.8)</td>
<td valign="top" align="center">1.2 (0&#x2013;2.1)</td>
<td valign="top" align="center">0.7 (&#x2013;0.6 to 2.1)</td>
<td valign="top" align="center">1.1 (&#x2013;0.3 to 2.1)</td>
<td valign="top" align="center">0.7 (&#x2013;0.6 to 2.1)</td>
<td valign="top" align="center">0.9 (&#x2013;0.6 to 2.1)</td>
<td valign="top" align="center">1 (&#x2013;0.3 to 2.1)</td>
</tr>
<tr>
<td valign="top" align="left">miR-142-3p</td>
<td valign="top" align="center">1.4 (&#x2013;1.7 to 2.7)</td>
<td valign="top" align="center">1.3 (&#x2013;3.8 to 2)</td>
<td valign="top" align="center">1.8 (&#x2013;0.4 to 2.4)</td>
<td valign="top" align="center">1.3 (&#x2013;3.8 to 2.7)</td>
<td valign="top" align="center">
<bold>1.5 (&#x2013;3.8 to 2.7)*</bold>
</td>
<td valign="top" align="center">0.3 (&#x2013;0.4 to 1.8)</td>
<td valign="top" align="center">1.5 (0.1&#x2013;2.7)</td>
<td valign="top" align="center">1.3 (&#x2013;3.8 to 2.1)</td>
<td valign="top" align="center">1.3 (&#x2013;0.4 to 2.4)</td>
<td valign="top" align="center">1.5 (&#x2013;3.8 to 2.7)</td>
<td valign="top" align="center">1.5 (&#x2013;3.8 to 2.4)</td>
<td valign="top" align="center">1.4 (&#x2013;1.7 to 2.7)</td>
</tr>
<tr>
<td valign="top" align="left">miR-142-5p</td>
<td valign="top" align="center">0.9 (&#x2013;1.6 to 2.2)</td>
<td valign="top" align="center">1.2 (&#x2013;3.9 to 1.9)</td>
<td valign="top" align="center">1.1 (&#x2013;1.2 to 1.9)</td>
<td valign="top" align="center">0.9 (&#x2013;3.9 to 2.2)</td>
<td valign="top" align="center">
<bold>1.1 (&#x2013;3.9 to 2.2)*</bold>
</td>
<td valign="top" align="center">&#x2013;0.3 (&#x2013;1.2 to 1.8)</td>
<td valign="top" align="center">
<bold>1.3 (&#x2013;0.3 to 2.2)*</bold>
</td>
<td valign="top" align="center">0.8 (&#x2013;3.9 to 1.9)</td>
<td valign="top" align="center">0.8 (&#x2013;0.6 to 2.1)</td>
<td valign="top" align="center">1 (&#x2013;3.9 to 2.2)</td>
<td valign="top" align="center">1 (&#x2013;3.9 to 2.1)</td>
<td valign="top" align="center">0.9 (&#x2013;1.6 to 2.2)</td>
</tr>
<tr>
<td valign="top" align="left">miR-155-5p</td>
<td valign="top" align="center">1.8 (&#x2013;0.3 to 3.9)</td>
<td valign="top" align="center">1.9 (&#x2013;1 to 3.6)</td>
<td valign="top" align="center">1.8 (&#x2013;1 to 3.1)</td>
<td valign="top" align="center">2 (&#x2013;0.8 to 3.9)</td>
<td valign="top" align="center">2.2 (&#x2013;1 to 3.9)</td>
<td valign="top" align="center">0.5 (0&#x2013;3.1)</td>
<td valign="top" align="center">
<bold>2.6 (0.9&#x2013;3.7)*</bold>
</td>
<td valign="top" align="center">0.6 (&#x2013;1 to 3.9)</td>
<td valign="top" align="center">2.3 (&#x2013;0.4 to 3.6)</td>
<td valign="top" align="center">1.8 (&#x2013;1 to 3.9)</td>
<td valign="top" align="center">1.7 (&#x2013;1 to 3.4)</td>
<td valign="top" align="center">2 (&#x2013;0.4 to 3.9)</td>
</tr>
<tr>
<td valign="top" align="left">miR-210-3p</td>
<td valign="top" align="center">0.4 (&#x2013;1.2 to 3.6)</td>
<td valign="top" align="center">0.6 (&#x2013;1.7 to 2.7)</td>
<td valign="top" align="center">&#x2013;0.1 (&#x2013;1.7 to 2)</td>
<td valign="top" align="center">0.6 (&#x2013;1.2 to 3.6)</td>
<td valign="top" align="center">0.6 (&#x2013;1.7 to 3.6)</td>
<td valign="top" align="center">0.3 (&#x2013;1 to 2.3)</td>
<td valign="top" align="center">0.6 (&#x2013;1.7 to 2.6)</td>
<td valign="top" align="center">0.4 (&#x2013;1.1 to 3.6)</td>
<td valign="top" align="center">0.3 (&#x2013;1 to 2.7)</td>
<td valign="top" align="center">0.6 (&#x2013;1.7 to 3.6)</td>
<td valign="top" align="center">0.6 (&#x2013;0.8 to 2.6)</td>
<td valign="top" align="center">0.4 (&#x2013;1.7 to 3.6)</td>
</tr>
<tr>
<td valign="top" align="left">miR-212-3p</td>
<td valign="top" align="center">1.6 (&#x2013;0.7 to 3)</td>
<td valign="top" align="center">1.2 (&#x2013;0.1 to 3.3)</td>
<td valign="top" align="center">1.1 (0&#x2013;1.8)</td>
<td valign="top" align="center">1.4 (&#x2013;0.7 to 3.3)</td>
<td valign="top" align="center">1.5 (&#x2013;0.7 to 3.3)</td>
<td valign="top" align="center">1 (0&#x2013;2.8)</td>
<td valign="top" align="center">
<bold>1.8 (0.4&#x2013;3)*</bold>
</td>
<td valign="top" align="center">1.1 (&#x2013;0.7 to 3.3)</td>
<td valign="top" align="center">1.8 (&#x2013;0.6 to 3.3)</td>
<td valign="top" align="center">1.1 (&#x2013;0.7 to 3)</td>
<td valign="top" align="center">1.2 (0&#x2013;2.8)</td>
<td valign="top" align="center">1.5 (&#x2013;0.7 to 3.3)</td>
</tr>
<tr>
<td valign="top" align="left">miR-326</td>
<td valign="top" align="center">0.3 (&#x2013;0.5 to 2.2)</td>
<td valign="top" align="center">0.2 (&#x2013;1.2 to 0.9)</td>
<td valign="top" align="center">0.2 (&#x2013;0.5 to 0.8)</td>
<td valign="top" align="center">0.3 (&#x2013;1.2 to 2.2)</td>
<td valign="top" align="center">0.3 (&#x2013;1.2 to 2.2)</td>
<td valign="top" align="center">0.1 (&#x2013;0.5 to 0.5)</td>
<td valign="top" align="center">0.3 (&#x2013;0.5 to 1.1)</td>
<td valign="top" align="center">0.3 (&#x2013;1.2 to 2.2)</td>
<td valign="top" align="center">0.2 (&#x2013;0.5 to 1.1)</td>
<td valign="top" align="center">0.3 (&#x2013;1.2 to 2.2)</td>
<td valign="top" align="center">0.2 (&#x2013;1.2 to 0.7)</td>
<td valign="top" align="center">0.3 (&#x2013;0.5 to 2.2)</td>
</tr>
<tr>
<td valign="top" align="left">miR-342-5p</td>
<td valign="top" align="center">0.7 (&#x2013;0.7 to 2.2)</td>
<td valign="top" align="center">0.3 (&#x2013;0.3 to 2)</td>
<td valign="top" align="center">0.5 (&#x2013;0.2 to 1.4)</td>
<td valign="top" align="center">0.7 (&#x2013;0.7 to 2.2)</td>
<td valign="top" align="center">0.7 (&#x2013;0.3 to 2.2)</td>
<td valign="top" align="center">0.3 (&#x2013;0.7 to 1.1)</td>
<td valign="top" align="center">0.9 (0&#x2013;2)</td>
<td valign="top" align="center">0.3 (&#x2013;0.7 to 2.2)</td>
<td valign="top" align="center">0.5 (&#x2013;0.7 to 2)</td>
<td valign="top" align="center">0.6 (&#x2013;0.3 to 2.2)</td>
<td valign="top" align="center">0.2 (&#x2013;0.2 to 2)</td>
<td valign="top" align="center">0.7 (&#x2013;0.7 to 2.2)</td>
</tr>
<tr>
<td valign="top" align="left">miR-511-5p</td>
<td valign="top" align="center">1.2 (&#x2013;1.4 to 4.4)</td>
<td valign="top" align="center">1.5 (&#x2013;1.7 to 3.6)</td>
<td valign="top" align="center">1 (0.2&#x2013;3)</td>
<td valign="top" align="center">1.4 (&#x2013;1.7 to 4.4)</td>
<td valign="top" align="center">1.4 (&#x2013;1.7 to 4.4)</td>
<td valign="top" align="center">0.9 (&#x2013;0.6 to 2.4)</td>
<td valign="top" align="center">1.7 (&#x2013;0.3 to 4.4)</td>
<td valign="top" align="center">0.9 (&#x2013;1.7 to 4.4)</td>
<td valign="top" align="center">1.4 (&#x2013;0.6 to 4.4)</td>
<td valign="top" align="center">1.2 (&#x2013;1.7 to 4.4)</td>
<td valign="top" align="center">1.2 (&#x2013;1.7 to 4.4)</td>
<td valign="top" align="center">1.3 (&#x2013;0.6 to 4.4)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>GCA, giant cell arteritis; MGC, multinucleated giant cell; PMR, polymyalgia rheumatica. Data are presented as median (range). Log<sub>2</sub> fold change values are presented for each miRNA. Data were evaluated using the Mann-Whitney U test. Analysis was performed on a total of 46 TABs from GCA patients, including 30 TAB-positive and 16 TAB-negative GCA patients. A p-value of &lt; 0.05 was considered statistically significant. An asterisk indicates significance between GCA patient groups (*p &lt; 0.05; **p &lt; 0.01) (marked in bold).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s5">
<title>Discussion</title>
<p>This study links the composition of inflammatory cell infiltrate with immune-related miRNA signature in affected temporal arteries from GCA patients, and emphasizes the significance of miRNA dysregulation in impaired regulation of arterial inflammation in GCA, particularly in relation to NFATC expression and promotion of T cell functions through the CaN/NFAT signaling pathway. To the best of our knowledge, we performed the first quantitative histopathological and immunohistochemical analysis of inflammatory infiltrate in inflamed GCA, non-inflamed GCA and non-GCA TABs, in which distinct immune cell subsets were related to altered arterial miRNA profiles. By including TABs from treatment-na&#xef;ve patients, we aimed to get an unbiased insight into the arterial wall inflammatory histological features and miRNA profiles underlying GCA-related inflammation, without treatment-induced immunosuppression associated with GCA remission (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B37">37</xref>).</p>
<p>GCA is primarily considered a T cell-mediated disease (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B38">38</xref>), and the affected TAB-positive GCA arteries are usually histologically characterized by a transmural granulomatous inflammatory infiltrate with T lymphocytes, macrophages and MGCs, disruption of the internal elastic lamina and intimal thickening (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Our quantitative histological assessment corresponded to these classical histological GCA features in the TAB-positive GCA group, revealing abundant numbers of CD3<sup>+</sup>, CD4<sup>+</sup>, CD8<sup>+</sup>, NFATC<sup>+</sup> and CD68<sup>+</sup> cells, and a variable number of CD20<sup>+</sup> B lymphocytes, MGCs and eosinophil granulocytes, compared to TAB-negative GCA arteries, where small numbers of CD3<sup>+</sup>, CD4<sup>+</sup> and CD68<sup>+</sup> cells were focally segmentally detectable by immunohistochemistry only. Notably, elevated numbers of CD20<sup>+</sup> B cells suggested the presence of the so-called artery tertiary lymphoid organs, lymphoid aggregates with well-defined compartmentalization of B cells, T cells and follicular dendritic cells, which form at sites of chronic inflammation in peripheral non-lymphoid organs (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B39">39</xref>), present mostly in the media of GCA-affected TABs (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B39">39</xref>). We found similar structures in only two TAB-positive GCA arteries, with a high percentage of CD20<sup>+</sup> B cells (18% and 29%), which coincided with a longer symptom duration prior to biopsy in these patients (75 and 120 days, respectively). Eosinophil and neutrophil granulocytes were a common finding, present in 23/30 (77%) and 19/30 (63%) of TAB-positive GCA arteries, respectively. Contrary to the low number of neutrophil granulocytes, a significant number of eosinophil granulocytes was focally present in 10/30 (33%) of TABs, mostly in those with prominent granulomatous inflammation, thus resembling the composition of Th2 cell-induced granulomas. Eosinophil granulocytes, together with MGCs, were also significantly associated with CRP levels in our GCA cohort. Other studies, dealing with the composition of inflammatory infiltrate in GCA, commonly included patients already on glucocorticoid treatment, which is generally known to diminish eosinophil granulocytes. In these studies, eosinophils in TABs were described as scant (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B40">40</xref>) or rarely present (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B7">7</xref>), except in initial biopsies (<xref ref-type="bibr" rid="B40">40</xref>). Overall, the role of eosinophil granulocytes in GCA pathogenesis has not been well-established. In inflammation, these cells can cause severe tissue damage by releasing inflammatory mediators, they can exacerbate T cell responses and are attracted to the site of inflammation by different cytokines and chemokines produced by other inflammatory cells and/or endothelial cells (<xref ref-type="bibr" rid="B41">41</xref>).</p>
<p>The percentage of CD8<sup>+</sup> T cells among all detected T lymphocytes constituting the inflammatory infiltrate in our TAB-positive GCA group was 35%, which fitted within the 12&#x2013;46% CD8<sup>+</sup> T cell range in GCA-affected TABs reported previously (<xref ref-type="bibr" rid="B42">42</xref>). Nonetheless, relatively high numbers of infiltrated CD8<sup>+</sup> T cells in TAB-positive GCA arteries probably resulted in a significantly lower tissue CD4<sup>+</sup>:CD8<sup>+</sup> T lymphocyte ratio (1.9), compared to TAB-negative GCA (3.3) and non-GCA temporal arteries (5.7), and indicated a more severe disease course in TAB-positive GCA patients (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B9">9</xref>). Notably, numbers of CD8<sup>+</sup> T lymphocytes were significantly higher in TAB inflammatory infiltrates of patients suffering headache and jaw claudication from our GCA patient cohort (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>).</p>
<p>It is generally recognized that miRNAs play a key role in maintaining immune homeostasis and normal immune function, whereas miRNA dysregulation may lead to the breakage of immune tolerance and the development of autoimmune diseases (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>). Several studies have shed light on the significance of miRNA dysregulation in GCA pathogenesis, revealing their notable role in regulating the vascular smooth muscle cell phenotype that underlies arterial remodeling and intimal hyperplasia, and their interaction with gene pathways involved in regulation of the immune system, the ubiquitin-proteasome system and the RNA-induced silencing complex (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). The data obtained from our previous work on identifying miRNAs involved in GCA pathogenesis (<xref ref-type="bibr" rid="B14">14</xref>) served as a basis for the selection of candidate immune-related miRNAs, whose expression profiles were thoroughly assessed and related to evaluated histopathological parameters in TABs from GCA and non-GCA patients in the present study. We included the miR-30 family, miR-124, the miR-132/212 cluster, miR-142, miR-155-5p, miR-210-3p, miR-326, miR-342-5p and miR-511-5p, which have been previously associated with T cell immune responses, macrophage activity and pro-inflammatory cytokine signaling (<xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B30">30</xref>).</p>
<p>We showed that the nine selected pro-inflammatory miRNAs (miR-132-3p/-142-3p/-142-5p/-155-5p/-210-3p/-212-3p/-326/-342-5p/-511-5p) were significantly overexpressed only in TAB-positive GCA arteries, characterized by an intense mixed inflammatory infiltrate. Significant positive association between their expression levels and evaluated histopathological parameters suggested that induction of these miRNAs relates to a distinct cellular composition of GCA inflammatory infiltrates within arterial walls, predominantly T lymphocytes and macrophages. Since the composition of inflammatory infiltrates may significantly differ between GCA patients and lead to different clinical outcomes (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>), immune-related miRNAs could be used as markers to discriminate these patients.</p>
<p>Notably, association analysis indicated that miR-142-5p and miR-155-5p, together with miR-132-3p/-142-3p/-212-3p/-511-5p, are major promoters of T cell-driven inflammation and macrophage activity in TAB-positive GCA arteries (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Our indications were supported by the fact that miR-155 overexpression in activated T cells promotes autoimmune inflammation through enhancing T cell activation and proliferation, production and release of pro-inflammatory cytokines, polarization of Th cells into IFN-&#x3b3;-secreting Th1 and IL-17-secreting Th17 phenotypes, and induction of macrophage inflammatory responses (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B45">45</xref>), mechanisms that are related to GCA pathogenesis (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B8">8</xref>). Furthermore, upregulation of miR-142-5p and miR-551 enhances macrophage polarization into the M2 phenotype (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B46">46</xref>), which is also significantly increased in inflamed GCA arteries and involved in tissue repair and remodeling (<xref ref-type="bibr" rid="B47">47</xref>). Since miR-155-5p and miR-142-5p, both target the suppressor of cytokine signaling 1 (SOCS1) gene (<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B46">46</xref>), these two miRNAs may promote vascular inflammation and remodeling in GCA lesions through affecting the SOCS1 signaling. However, further studies are needed to confirm such implication of these two miRNAs in GCA pathogenesis. It has been determined that induction of the miR-132/212 cluster (miR-132 and miR-212) positively associates with enhanced differentiation and activation of Th17 cells, and elevated IL-17 production (<xref ref-type="bibr" rid="B18">18</xref>). Similarly, upregulation of miR-142-3p in activated CD3<sup>+</sup> T lymphocytes promoted IL-1&#x3b2;-mediated signaling (<xref ref-type="bibr" rid="B48">48</xref>), which is under the influence of the IL-6&#x2013;IL-17 cytokine cluster crucially involved in Th17 differentiation in GCA arterial lesions (<xref ref-type="bibr" rid="B4">4</xref>). Taken together, overexpression of the miR-132/212 cluster and miR-142-3p in TAB-positive GCA arteries, may relate to the pathogenic pathways mediated by the Th17 T cell lineage. Nonetheless, aforementioned interrelation needs to be confirmed in GCA by further in-depth studies.</p>
<p>The strong interrelationship between evaluated immune cell subsets, primarily between infiltrated CD3<sup>+</sup>, CD4<sup>+</sup>, CD8<sup>+</sup> and NFATC<sup>+</sup> cells, implied that T cell-mediated immune responses in TAB-positive arteries from our GCA patient cohort were driven by the dysregulated CaN/NFAT signaling pathway. In response to inflammatory stimuli, the CaN/NFAT signaling cascade initiates by the influx of extracellular calcium, which binds to calmodulin and thus activates the CaN-mediated dephosphorylation of NFAT, resulting in its translocation into the nucleus, where NFAT promotes expression of genes related to T cell development, activation and differentiation (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Due to its prominent role in regulating T cell functions, dysregulation of the calcium-mediated CaN/NFAT signaling pathway frequently associates with the development of autoimmune diseases (<xref ref-type="bibr" rid="B35">35</xref>), including GCA (<xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>Our analysis revealed that strong nuclear overexpression of NFATC, detected in immune cells in TAB-positive GCA arteries, probably resulted from the upstream induction of CaN, mediated through impaired regulatory activity of the miR-30 family towards the CaN regulatory subunit PPP3R1. A strong significant negative association between elevated numbers of CD3<sup>+</sup>, CD4<sup>+</sup>, CD8<sup>+</sup> and NFATC<sup>+</sup> cells, and significant under-expression of miR-30 family members, predominantly miR-30a-5p/-30c-5p/-30d-5p, in TAB-positive GCA arteries supported this hypothesis (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). Since miRNAs from the miR-30 family target critical components of the calcium/CaN signaling pathway in podocytes, including <italic>TRPC6</italic>, <italic>PPP3CA</italic>, <italic>PPP3CB</italic>, <italic>PPP3R1</italic> and <italic>NFATC3</italic> (<xref ref-type="bibr" rid="B28">28</xref>), dysregulated miR-30 expression might be essential for aberrant T cell-mediated immune responses in GCA arterial lesions. Furthermore, our results suggest that deregulated induction of NFATC [alias NFATC1 (<xref ref-type="bibr" rid="B36">36</xref>)] in immune cell infiltrate within TAB-positive GCA arteries might be directly mediated by under-expressed miR-124, whose inhibitory function towards NFATC has been determined previously (<xref ref-type="bibr" rid="B30">30</xref>). To confirm this hypothesis, however, additional functional studies are needed. In addition, the significant negative association between scores of CD68<sup>+</sup> macrophages and MGCs, and altered miRNA expression levels in TAB-positive GCA arteries (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>), corresponded to the impaired inhibitory activity of the miR-30 family and miR-124 towards pro-inflammatory macrophage functions (<xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B50">50</xref>). Overall, the pro-inflammatory microenvironment in vessel walls of GCA-affected temporal arteries seems to be strongly influenced by epigenetic promotion of T cell functions through the CaN/NFAT signaling pathway, mediated by DNA methylation (<xref ref-type="bibr" rid="B16">16</xref>) and alterations in miRNA expression, both evidently contributing to GCA pathogenesis.</p>
<p>Despite including TABs from treatment-na&#xef;ve GCA patients, the limited number of included patients represents the main limitation of our current single-center study. Moreover, there is a need for further detailed phenotypic characterization and quantitative assessment of immune cell subpopulations comprising inflammatory infiltrate in GCA arterial lesions and linking them with their specific miRNA fingerprints. Such miRNA-based molecular characterization of specific arterial histopathological features might discriminate patients in terms of their heterogeneous cellular inflammatory infiltrate composition and aid in anticipating GCA clinical outcome. Furthermore, additional information on dysregulated miRNAs and their target gene networks in peripheral blood mononuclear cells and granulocytes, and their interrelation with tissue and circulatory inflammatory mediators, would provide valuable new insights into the complexity of GCA pathogenesis.</p>
<p>In summary, our study provides novel information on miRNA involvement in the vascular immunopathology of GCA. We showed that altered arterial tissue-specific immune-related miRNA profiles associate with enhanced T cell-driven inflammation and macrophage activity in TAB-positive GCA arteries, and probably promote T cell-mediated immune responses through dysregulation of the CaN/NFAT signaling pathway. Our results indicate a potential role of dysregulated CaN/NFAT signaling and aberrant T cell functions in GCA-related ischemic events (i.e. headache and jaw claudication), where an altered expression of miR-30a-5p/-30b-5p/-30c-5p/-30d-5p/-30e-5p/-124-3p/-142-3p/-142-5p/-155-5p/-212-3p might also play a role. Nevertheless, further studies are needed to identify these miRNAs as potential novel therapeutic targets, and to prove their diagnostic and prognostic potential in GCA, including their utilization on biological fluids such as blood serum and plasma.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>All data relevant to the study are included in the article or uploaded as <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by The National Medical Ethics Committee of the Republic of Slovenia [approval #65/01/17]. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author Contributions</title>
<p>LB: qPCR analysis, data analysis, data interpretation, manuscript drafting and writing. AH: provision of clinical data and a specialist advice. AS: morphometric analysis of TABs, data analysis, manuscript writing. VJ: case selection of patients and TABs, histopathological assessment of TABs, data interpretation, manuscript drafting and writing. All authors read, participated in improving and approved the final version of the manuscript.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the Slovenian Research Agency [research core funding No. P3-0054].</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>The authors thank Sonja Ivani&#x10d; and Tina Bukovec (Institute of Pathology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia) for preparing the FFPE tissue sections.</p>
</ack>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2021.791099/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2021.791099/full#supplementary-material</ext-link>
</p>
  <supplementary-material xlink:href="DataSheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jennette</surname> <given-names>JC</given-names>
</name>
<name>
<surname>Falk</surname> <given-names>RJ</given-names>
</name>
<name>
<surname>Bacon</surname> <given-names>PA</given-names>
</name>
<name>
<surname>Basu</surname> <given-names>N</given-names>
</name>
<name>
<surname>Cid</surname> <given-names>MC</given-names>
</name>
<name>
<surname>Ferrario</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>Revised International Chapel Hill Consensus Conference Nomenclature of Vasculitides</article-title>. <source>Arthritis Rheum</source> (<year>2013</year>) <volume>65</volume>(<issue>1</issue>):<fpage>1</fpage>&#x2013;<lpage>11</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/art.37715</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Salvarani</surname> <given-names>C</given-names>
</name>
<name>
<surname>Cantini</surname> <given-names>F</given-names>
</name>
<name>
<surname>Hunder</surname> <given-names>GG</given-names>
</name>
</person-group>. <article-title>Polymyalgia Rheumatica and Giant-Cell Arteritis</article-title>. <source>Lancet</source> (<year>2008</year>) <volume>372</volume>(<issue>9634</issue>):<page-range>234&#x2013;45</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/s0140-6736(08)61077-6</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Salvarani</surname> <given-names>C</given-names>
</name>
<name>
<surname>Pipitone</surname> <given-names>N</given-names>
</name>
<name>
<surname>Versari</surname> <given-names>A</given-names>
</name>
<name>
<surname>Hunder</surname> <given-names>GG</given-names>
</name>
</person-group>. <article-title>Clinical Features of Polymyalgia Rheumatica and Giant Cell Arteritis</article-title>. <source>Nat Rev Rheumatol</source> (<year>2012</year>) <volume>8</volume>(<issue>9</issue>):<page-range>509&#x2013;21</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nrrheum.2012.97</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Weyand</surname> <given-names>CM</given-names>
</name>
<name>
<surname>Goronzy</surname> <given-names>JJ</given-names>
</name>
</person-group>. <article-title>Immune Mechanisms in Medium and Large-Vessel Vasculitis</article-title>. <source>Nat Rev Rheumatol</source> (<year>2013</year>) <volume>9</volume>(<issue>12</issue>):<page-range>731&#x2013;40</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nrrheum.2013.161</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>O&#x2019;Neill</surname> <given-names>L</given-names>
</name>
<name>
<surname>Rooney</surname> <given-names>P</given-names>
</name>
<name>
<surname>Molloy</surname> <given-names>D</given-names>
</name>
<name>
<surname>Connolly</surname> <given-names>M</given-names>
</name>
<name>
<surname>McCormick</surname> <given-names>J</given-names>
</name>
<name>
<surname>McCarthy</surname> <given-names>G</given-names>
</name>
<etal/>
</person-group>. <article-title>Regulation of Inflammation and Angiogenesis in Giant Cell Arteritis by Acute-Phase Serum Amyloid A</article-title>. <source>Arthritis Rheumatol (Hoboken NJ)</source> (<year>2015</year>) <volume>67</volume>(<issue>9</issue>):<page-range>2447&#x2013;56</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/art.39217</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Samson</surname> <given-names>M</given-names>
</name>
<name>
<surname>Corbera-Bellalta</surname> <given-names>M</given-names>
</name>
<name>
<surname>Audia</surname> <given-names>S</given-names>
</name>
<name>
<surname>Planas-Rigol</surname> <given-names>E</given-names>
</name>
<name>
<surname>Martin</surname> <given-names>L</given-names>
</name>
<name>
<surname>Cid</surname> <given-names>MC</given-names>
</name>
<etal/>
</person-group>. <article-title>Recent Advances in Our Understanding of Giant Cell Arteritis Pathogenesis</article-title>. <source>Autoimmun Rev</source> (<year>2017</year>) <volume>16</volume>(<issue>8</issue>):<page-range>833&#x2013;44</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.autrev.2017.05.014</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cavazza</surname> <given-names>A</given-names>
</name>
<name>
<surname>Muratore</surname> <given-names>F</given-names>
</name>
<name>
<surname>Boiardi</surname> <given-names>L</given-names>
</name>
<name>
<surname>Restuccia</surname> <given-names>G</given-names>
</name>
<name>
<surname>Pipitone</surname> <given-names>N</given-names>
</name>
<name>
<surname>Pazzola</surname> <given-names>G</given-names>
</name>
<etal/>
</person-group>. <article-title>Inflamed Temporal Artery: Histologic Findings in 354 Biopsies, With Clinical Correlations</article-title>. <source>Am J Surg Pathol</source> (<year>2014</year>) <volume>38</volume>(<issue>10</issue>):<page-range>1360&#x2013;70</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1097/pas.0000000000000244</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ciccia</surname> <given-names>F</given-names>
</name>
<name>
<surname>Rizzo</surname> <given-names>A</given-names>
</name>
<name>
<surname>Ferrante</surname> <given-names>A</given-names>
</name>
<name>
<surname>Guggino</surname> <given-names>G</given-names>
</name>
<name>
<surname>Croci</surname> <given-names>S</given-names>
</name>
<name>
<surname>Cavazza</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>New Insights Into the Pathogenesis of Giant Cell Arteritis</article-title>. <source>Autoimmun Rev</source> (<year>2017</year>) <volume>16</volume>(<issue>7</issue>):<page-range>675&#x2013;83</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.autrev.2017.05.004</pub-id>
</citation>
</ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Samson</surname> <given-names>M</given-names>
</name>
<name>
<surname>Ly</surname> <given-names>KH</given-names>
</name>
<name>
<surname>Tournier</surname> <given-names>B</given-names>
</name>
<name>
<surname>Janikashvili</surname> <given-names>N</given-names>
</name>
<name>
<surname>Trad</surname> <given-names>M</given-names>
</name>
<name>
<surname>Ciudad</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Involvement and Prognosis Value of CD8(+) T Cells in Giant Cell Arteritis</article-title>. <source>J Autoimmun</source> (<year>2016</year>) <volume>72</volume>:<fpage>73</fpage>&#x2013;<lpage>83</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jaut.2016.05.008</pub-id>
</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Graver</surname> <given-names>JC</given-names>
</name>
<name>
<surname>Boots</surname> <given-names>AMH</given-names>
</name>
<name>
<surname>Haacke</surname> <given-names>EA</given-names>
</name>
<name>
<surname>Diepstra</surname> <given-names>A</given-names>
</name>
<name>
<surname>Brouwer</surname> <given-names>E</given-names>
</name>
<name>
<surname>Sandovici</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Massive B-Cell Infiltration and Organization Into Artery Tertiary Lymphoid Organs in the Aorta of Large Vessel Giant Cell Arteritis</article-title>. <source>Front Immunol</source> (<year>2019</year>) <volume>10</volume>:<elocation-id>83</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2019.00083</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ciccia</surname> <given-names>F</given-names>
</name>
<name>
<surname>Rizzo</surname> <given-names>A</given-names>
</name>
<name>
<surname>Maugeri</surname> <given-names>R</given-names>
</name>
<name>
<surname>Alessandro</surname> <given-names>R</given-names>
</name>
<name>
<surname>Croci</surname> <given-names>S</given-names>
</name>
<name>
<surname>Guggino</surname> <given-names>G</given-names>
</name>
<etal/>
</person-group>. <article-title>Ectopic Expression of CXCL13, BAFF, APRIL and LT-&#x3b2; Is Associated With Artery Tertiary Lymphoid Organs in Giant Cell Arteritis</article-title>. <source>Ann Rheumatic Dis</source> (<year>2017</year>) <volume>76</volume>(<issue>1</issue>):<page-range>235&#x2013;43</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1136/annrheumdis-2016-209217</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Deng</surname> <given-names>J</given-names>
</name>
<name>
<surname>Younge</surname> <given-names>BR</given-names>
</name>
<name>
<surname>Olshen</surname> <given-names>RA</given-names>
</name>
<name>
<surname>Goronzy</surname> <given-names>JJ</given-names>
</name>
<name>
<surname>Weyand</surname> <given-names>CM</given-names>
</name>
</person-group>. <article-title>Th17 and Th1 T-Cell Responses in Giant Cell Arteritis</article-title>. <source>Circulation</source> (<year>2010</year>) <volume>121</volume>(<issue>7</issue>):<page-range>906&#x2013;15</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1161/circulationaha.109.872903</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Burja</surname> <given-names>B</given-names>
</name>
<name>
<surname>Feichtinger</surname> <given-names>J</given-names>
</name>
<name>
<surname>Lakota</surname> <given-names>K</given-names>
</name>
<name>
<surname>Thallinger</surname> <given-names>GG</given-names>
</name>
<name>
<surname>Sodin-Semrl</surname> <given-names>S</given-names>
</name>
<name>
<surname>Kuret</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Utility of Serological Biomarkers for Giant Cell Arteritis in a Large Cohort of Treatment-Naive Patients</article-title>. <source>Clin Rheumatol</source> (<year>2019</year>) <volume>38</volume>(<issue>2</issue>):<page-range>317&#x2013;29</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s10067-018-4240-x</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bolha</surname> <given-names>L</given-names>
</name>
<name>
<surname>Pi&#x17e;em</surname> <given-names>J</given-names>
</name>
<name>
<surname>Frank-Bertoncelj</surname> <given-names>M</given-names>
</name>
<name>
<surname>Ho&#x10d;evar</surname> <given-names>A</given-names>
</name>
<name>
<surname>Tom&#x161;i&#x10d;</surname> <given-names>M</given-names>
</name>
<name>
<surname>Jur&#x10d;i&#x107;</surname> <given-names>V</given-names>
</name>
</person-group>. <article-title>Identification of microRNAs and Their Target Gene Networks Implicated in Arterial Wall Remodelling in Giant Cell Arteritis</article-title>. <source>Rheumatol (Oxf Engl)</source> (<year>2020</year>) <volume>59</volume>(<issue>11</issue>):<page-range>3540&#x2013;52</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/rheumatology/keaa204</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Croci</surname> <given-names>S</given-names>
</name>
<name>
<surname>Zerbini</surname> <given-names>A</given-names>
</name>
<name>
<surname>Boiardi</surname> <given-names>L</given-names>
</name>
<name>
<surname>Muratore</surname> <given-names>F</given-names>
</name>
<name>
<surname>Bisagni</surname> <given-names>A</given-names>
</name>
<name>
<surname>Nicoli</surname> <given-names>D</given-names>
</name>
<etal/>
</person-group>. <article-title>MicroRNA Markers of Inflammation and Remodelling in Temporal Arteries From Patients With Giant Cell Arteritis</article-title>. <source>Ann Rheum Dis</source> (<year>2016</year>) <volume>75</volume>(<issue>8</issue>):<page-range>1527&#x2013;33</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1136/annrheumdis-2015-207846</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Coit</surname> <given-names>P</given-names>
</name>
<name>
<surname>De Lott</surname> <given-names>LB</given-names>
</name>
<name>
<surname>Nan</surname> <given-names>B</given-names>
</name>
<name>
<surname>Elner</surname> <given-names>VM</given-names>
</name>
<name>
<surname>Sawalha</surname> <given-names>AH</given-names>
</name>
</person-group>. <article-title>DNA Methylation Analysis of the Temporal Artery Microenvironment in Giant Cell Arteritis</article-title>. <source>Ann Rheum Dis</source> (<year>2016</year>) <volume>75</volume>(<issue>6</issue>):<page-range>1196&#x2013;202</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1136/annrheumdis-2014-207116</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kuret</surname> <given-names>T</given-names>
</name>
<name>
<surname>Lakota</surname> <given-names>K</given-names>
</name>
<name>
<surname>&#x10c;u&#x10d;nik</surname> <given-names>S</given-names>
</name>
<name>
<surname>Jur&#x10d;i&#x10d;</surname> <given-names>V</given-names>
</name>
<name>
<surname>Distler</surname> <given-names>O</given-names>
</name>
<name>
<surname>Rotar</surname> <given-names>&#x17d;</given-names>
</name>
<etal/>
</person-group>. <article-title>Dysregulated Expression of Arterial MicroRNAs and Their Target Gene Networks in Temporal Arteries of Treatment-Na&#xef;ve Patients With Giant Cell Arteritis</article-title>. <source>Int J Mol Sci</source> (<year>2021</year>) <volume>22</volume>(<issue>12</issue>):<fpage>6520</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/ijms22126520</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nakahama</surname> <given-names>T</given-names>
</name>
<name>
<surname>Hanieh</surname> <given-names>H</given-names>
</name>
<name>
<surname>Nguyen</surname> <given-names>NT</given-names>
</name>
<name>
<surname>Chinen</surname> <given-names>I</given-names>
</name>
<name>
<surname>Ripley</surname> <given-names>B</given-names>
</name>
<name>
<surname>Millrine</surname> <given-names>D</given-names>
</name>
<etal/>
</person-group>. <article-title>Aryl Hydrocarbon Receptor-Mediated Induction of the microRNA-132/212 Cluster Promotes Interleukin-17-Producing T-Helper Cell Differentiation</article-title>. <source>Proc Natl Acad Sci USA</source> (<year>2013</year>) <volume>110</volume>(<issue>29</issue>):<page-range>11964&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1073/pnas.1311087110</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>CP</given-names>
</name>
<name>
<surname>Lu</surname> <given-names>BF</given-names>
</name>
<name>
<surname>Jiang</surname> <given-names>JT</given-names>
</name>
</person-group>. <article-title>Mechanism of T Cell Regulation by microRNAs</article-title>. <source>Cancer Biol Med</source> (<year>2013</year>) <volume>10</volume>(<issue>3</issue>):<page-range>131&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.7497/j.issn.2095-3941.2013.03.002</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Junker</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Pathophysiology of Translational Regulation by microRNAs in Multiple Sclerosis</article-title>. <source>FEBS Lett</source> (<year>2011</year>) <volume>585</volume>(<issue>23</issue>):<page-range>3738&#x2013;46</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.febslet.2011.03.052</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>O&#x2019;Connell</surname> <given-names>RM</given-names>
</name>
<name>
<surname>Taganov</surname> <given-names>KD</given-names>
</name>
<name>
<surname>Boldin</surname> <given-names>MP</given-names>
</name>
<name>
<surname>Cheng</surname> <given-names>G</given-names>
</name>
<name>
<surname>Baltimore</surname> <given-names>D</given-names>
</name>
</person-group>. <article-title>MicroRNA-155 Is Induced During the Macrophage Inflammatory Response</article-title>. <source>Proc Natl Acad Sci USA</source> (<year>2007</year>) <volume>104</volume>(<issue>5</issue>):<page-range>1604&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1073/pnas.0610731104</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kroesen</surname> <given-names>BJ</given-names>
</name>
<name>
<surname>Teteloshvili</surname> <given-names>N</given-names>
</name>
<name>
<surname>Smigielska-Czepiel</surname> <given-names>K</given-names>
</name>
<name>
<surname>Brouwer</surname> <given-names>E</given-names>
</name>
<name>
<surname>Boots</surname> <given-names>AM</given-names>
</name>
<name>
<surname>van den Berg</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>Immuno-miRs: Critical Regulators of T-Cell Development, Function and Ageing</article-title>. <source>Immunology</source> (<year>2015</year>) <volume>144</volume>(<issue>1</issue>):<fpage>1</fpage>&#x2013;<lpage>10</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/imm.12367</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wu</surname> <given-names>R</given-names>
</name>
<name>
<surname>Zeng</surname> <given-names>J</given-names>
</name>
<name>
<surname>Yuan</surname> <given-names>J</given-names>
</name>
<name>
<surname>Deng</surname> <given-names>X</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>MicroRNA-210 Overexpression Promotes Psoriasis-Like Inflammation by Inducing Th1 and Th17 Cell Differentiation</article-title>. <source>J Clin Invest</source> (<year>2018</year>) <volume>128</volume>(<issue>6</issue>):<page-range>2551&#x2013;68</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1172/jci97426</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Du</surname> <given-names>C</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>C</given-names>
</name>
<name>
<surname>Kang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>G</given-names>
</name>
<name>
<surname>Ye</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>MicroRNA miR-326 Regulates TH-17 Differentiation and Is Associated With the Pathogenesis of Multiple Sclerosis</article-title>. <source>Nat Immunol</source> (<year>2009</year>) <volume>10</volume>(<issue>12</issue>):<page-range>1252&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/ni.1798</pub-id>
</citation>
</ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wei</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Nazari-Jahantigh</surname> <given-names>M</given-names>
</name>
<name>
<surname>Chan</surname> <given-names>L</given-names>
</name>
<name>
<surname>Zhu</surname> <given-names>M</given-names>
</name>
<name>
<surname>Heyll</surname> <given-names>K</given-names>
</name>
<name>
<surname>Corbalan-Campos</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>The microRNA-342-5p Fosters Inflammatory Macrophage Activation Through an Akt1- and microRNA-155-Dependent Pathway During Atherosclerosis</article-title>. <source>Circulation</source> (<year>2013</year>) <volume>127</volume>(<issue>15</issue>):<page-range>1609&#x2013;19</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1161/circulationaha.112.000736</pub-id>
</citation>
</ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Karo-Atar</surname> <given-names>D</given-names>
</name>
<name>
<surname>Itan</surname> <given-names>M</given-names>
</name>
<name>
<surname>Pasmanik-Chor</surname> <given-names>M</given-names>
</name>
<name>
<surname>Munitz</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>MicroRNA Profiling Reveals Opposing Expression Patterns for miR-511 in Alternatively and Classically Activated Macrophages</article-title>. <source>J Asthma: Off J Assoc Care Asthma</source> (<year>2015</year>) <volume>52</volume>(<issue>6</issue>):<page-range>545&#x2013;53</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.3109/02770903.2014.988222</pub-id>
</citation>
</ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ahmadi</surname> <given-names>R</given-names>
</name>
<name>
<surname>Heidarian</surname> <given-names>E</given-names>
</name>
<name>
<surname>Fadaei</surname> <given-names>R</given-names>
</name>
<name>
<surname>Moradi</surname> <given-names>N</given-names>
</name>
<name>
<surname>Malek</surname> <given-names>M</given-names>
</name>
<name>
<surname>Fallah</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>miR-342-5p Expression Levels in Coronary Artery Disease Patients and its Association With Inflammatory Cytokines</article-title>. <source>Clin Lab</source> (<year>2018</year>) <volume>64</volume>(<issue>4</issue>):<page-range>603&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.7754/Clin.Lab.2017.171208</pub-id>
</citation>
</ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zheng</surname> <given-names>C</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Yun</surname> <given-names>S</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>MicroRNA-30 Family Members Regulate Calcium/Calcineurin Signaling in Podocytes</article-title>. <source>J Clin Invest</source> (<year>2015</year>) <volume>125</volume>(<issue>11</issue>):<page-range>4091&#x2013;106</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1172/jci81061</pub-id>
</citation>
</ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tahamtan</surname> <given-names>A</given-names>
</name>
<name>
<surname>Teymoori-Rad</surname> <given-names>M</given-names>
</name>
<name>
<surname>Nakstad</surname> <given-names>B</given-names>
</name>
<name>
<surname>Salimi</surname> <given-names>V</given-names>
</name>
</person-group>. <article-title>Anti-Inflammatory MicroRNAs and Their Potential for Inflammatory Diseases Treatment</article-title>. <source>Front Immunol</source> (<year>2018</year>) <volume>9</volume>:<elocation-id>1377</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2018.01377</pub-id>
</citation>
</ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kang</surname> <given-names>K</given-names>
</name>
<name>
<surname>Peng</surname> <given-names>X</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Gao</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>MicroRNA-124 Suppresses the Transactivation of Nuclear Factor of Activated T Cells by Targeting Multiple Genes and Inhibits the Proliferation of Pulmonary Artery Smooth Muscle Cells</article-title>. <source>J Biol Chem</source> (<year>2013</year>) <volume>288</volume>(<issue>35</issue>):<page-range>25414&#x2013;27</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1074/jbc.M113.460287</pub-id>
</citation>
</ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hunder</surname> <given-names>GG</given-names>
</name>
<name>
<surname>Bloch</surname> <given-names>DA</given-names>
</name>
<name>
<surname>Michel</surname> <given-names>BA</given-names>
</name>
<name>
<surname>Stevens</surname> <given-names>MB</given-names>
</name>
<name>
<surname>Arend</surname> <given-names>WP</given-names>
</name>
<name>
<surname>Calabrese</surname> <given-names>LH</given-names>
</name>
<etal/>
</person-group>. <article-title>The American College of Rheumatology 1990 Criteria for the Classification of Giant Cell Arteritis</article-title>. <source>Arthritis Rheum</source> (<year>1990</year>) <volume>33</volume>(<issue>8</issue>):<page-range>1122&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/art.1780330810</pub-id>
</citation>
</ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Livak</surname> <given-names>KJ</given-names>
</name>
<name>
<surname>Schmittgen</surname> <given-names>TD</given-names>
</name>
</person-group>. <article-title>Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2(-Delta Delta C(T)) Method</article-title>. <source>Methods</source> (<year>2001</year>) <volume>25</volume>(<issue>4</issue>):<page-range>402&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1006/meth.2001.1262</pub-id>
</citation>
</ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wong</surname> <given-names>N</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>X</given-names>
</name>
</person-group>. <article-title>miRDB: An Online Resource for microRNA Target Prediction and Functional Annotations</article-title>. <source>Nucleic Acids Res</source> (<year>2015</year>) <volume>43</volume>(<issue>Database issue</issue>):<page-range>D146&#x2013;52</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/nar/gku1104</pub-id>
</citation>
</ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Szklarczyk</surname> <given-names>D</given-names>
</name>
<name>
<surname>Gable</surname> <given-names>AL</given-names>
</name>
<name>
<surname>Lyon</surname> <given-names>D</given-names>
</name>
<name>
<surname>Junge</surname> <given-names>A</given-names>
</name>
<name>
<surname>Wyder</surname> <given-names>S</given-names>
</name>
<name>
<surname>Huerta-Cepas</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>STRING V11: Protein-Protein Association Networks With Increased Coverage, Supporting Functional Discovery in Genome-Wide Experimental Datasets</article-title>. <source>Nucleic Acids Res</source> (<year>2019</year>) <volume>47</volume>(<issue>D1</issue>):<page-range>D607&#x2013;13</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/nar/gky1131</pub-id>
</citation>
</ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Park</surname> <given-names>YJ</given-names>
</name>
<name>
<surname>Yoo</surname> <given-names>SA</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>M</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>WU</given-names>
</name>
</person-group>. <article-title>The Role of Calcium-Calcineurin-NFAT Signaling Pathway in Health and Autoimmune Diseases</article-title>. <source>Front Immunol</source> (<year>2020</year>) <volume>11</volume>:<elocation-id>195</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2020.00195</pub-id>
</citation>
</ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lee</surname> <given-names>JU</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>LK</given-names>
</name>
<name>
<surname>Choi</surname> <given-names>JM</given-names>
</name>
</person-group>. <article-title>Revisiting the Concept of Targeting NFAT to Control T Cell Immunity and Autoimmune Diseases</article-title>. <source>Front Immunol</source> (<year>2018</year>) <volume>9</volume>:<elocation-id>2747</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2018.02747</pub-id>
</citation>
</ref>
<ref id="B37">
<label>37</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Robinette</surname> <given-names>ML</given-names>
</name>
<name>
<surname>Rao</surname> <given-names>DA</given-names>
</name>
<name>
<surname>Monach</surname> <given-names>PA</given-names>
</name>
</person-group>. <article-title>The Immunopathology of Giant Cell Arteritis Across Disease Spectra</article-title>. <source>Front Immunol</source> (<year>2021</year>) <volume>12</volume>:<elocation-id>623716</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2021.623716</pub-id>
</citation>
</ref>
<ref id="B38">
<label>38</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Terrades-Garcia</surname> <given-names>N</given-names>
</name>
<name>
<surname>Cid</surname> <given-names>MC</given-names>
</name>
</person-group>. <article-title>Pathogenesis of Giant-Cell Arteritis: How Targeted Therapies Are Influencing Our Understanding of the Mechanisms Involved</article-title>. <source>Rheumatol (Oxf Engl)</source> (<year>2018</year>) <volume>57</volume>(<supplement>suppl_2</supplement>):<fpage>ii51</fpage>&#x2013;<lpage>62</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/rheumatology/kex423</pub-id>
</citation>
</ref>
<ref id="B39">
<label>39</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ciccia</surname> <given-names>F</given-names>
</name>
<name>
<surname>Rizzo</surname> <given-names>A</given-names>
</name>
<name>
<surname>Salvarani</surname> <given-names>C</given-names>
</name>
<name>
<surname>Triolo</surname> <given-names>G</given-names>
</name>
</person-group>. <article-title>Response to: &#x2018;Artery Tertiary Lymphoid Organs in Giant Cell Arteritis Are Not Exclusively Located in the Media of Temporal Arteries&#x2019; by Graver Et Al</article-title>. <source>Ann Rheum Dis</source> (<year>2018</year>) <volume>77</volume>(<issue>3</issue>):<fpage>e17</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1136/annrheumdis-2017-211882</pub-id>
</citation>
</ref>
<ref id="B40">
<label>40</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Maleszewski</surname> <given-names>JJ</given-names>
</name>
<name>
<surname>Younge</surname> <given-names>BR</given-names>
</name>
<name>
<surname>Fritzlen</surname> <given-names>JT</given-names>
</name>
<name>
<surname>Hunder</surname> <given-names>GG</given-names>
</name>
<name>
<surname>Goronzy</surname> <given-names>JJ</given-names>
</name>
<name>
<surname>Warrington</surname> <given-names>KJ</given-names>
</name>
<etal/>
</person-group>. <article-title>Clinical and Pathological Evolution of Giant Cell Arteritis: A Prospective Study of Follow-Up Temporal Artery Biopsies in 40 Treated Patients</article-title>. <source>Mod Pathol</source> (<year>2017</year>) <volume>30</volume>(<issue>6</issue>):<page-range>788&#x2013;96</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/modpathol.2017.10</pub-id>
</citation>
</ref>
<ref id="B41">
<label>41</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ramirez</surname> <given-names>GA</given-names>
</name>
<name>
<surname>Yacoub</surname> <given-names>MR</given-names>
</name>
<name>
<surname>Ripa</surname> <given-names>M</given-names>
</name>
<name>
<surname>Mannina</surname> <given-names>D</given-names>
</name>
<name>
<surname>Cariddi</surname> <given-names>A</given-names>
</name>
<name>
<surname>Saporiti</surname> <given-names>N</given-names>
</name>
<etal/>
</person-group>. <article-title>Eosinophils From Physiology to Disease: A Comprehensive Review</article-title>. <source>BioMed Res Int</source> (<year>2018</year>) <volume>2018</volume>:<elocation-id>9095275</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1155/2018/9095275</pub-id>
</citation>
</ref>
<ref id="B42">
<label>42</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Schaufelberger</surname> <given-names>C</given-names>
</name>
<name>
<surname>Andersson</surname> <given-names>R</given-names>
</name>
<name>
<surname>Nordborg</surname> <given-names>E</given-names>
</name>
<name>
<surname>Hansson</surname> <given-names>GK</given-names>
</name>
<name>
<surname>Nordborg</surname> <given-names>C</given-names>
</name>
<name>
<surname>Wahlstr&#xf6;m</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>An Uneven Expression of T Cell Receptor V Genes in the Arterial Wall and Peripheral Blood in Giant Cell Arteritis</article-title>. <source>Inflammation</source> (<year>2008</year>) <volume>31</volume>(<issue>6</issue>):<page-range>372&#x2013;83</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s10753-008-9088-9</pub-id>
</citation>
</ref>
<ref id="B43">
<label>43</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mehta</surname> <given-names>A</given-names>
</name>
<name>
<surname>Baltimore</surname> <given-names>D</given-names>
</name>
</person-group>. <article-title>MicroRNAs as Regulatory Elements in Immune System Logic</article-title>. <source>Nat Rev Immunol</source> (<year>2016</year>) <volume>16</volume>(<issue>5</issue>):<page-range>279&#x2013;94</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nri.2016.40</pub-id>
</citation>
</ref>
<ref id="B44">
<label>44</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dai</surname> <given-names>R</given-names>
</name>
<name>
<surname>Ahmed</surname> <given-names>SA</given-names>
</name>
</person-group>. <article-title>MicroRNA, a New Paradigm for Understanding Immunoregulation, Inflammation, and Autoimmune Diseases</article-title>. <source>Trans Res: J Lab Clin Med</source> (<year>2011</year>) <volume>157</volume>(<issue>4</issue>):<page-range>163&#x2013;79</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.trsl.2011.01.007</pub-id>
</citation>
</ref>
<ref id="B45">
<label>45</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>O&#x2019;Connell</surname> <given-names>RM</given-names>
</name>
<name>
<surname>Kahn</surname> <given-names>D</given-names>
</name>
<name>
<surname>Gibson</surname> <given-names>WS</given-names>
</name>
<name>
<surname>Round</surname> <given-names>JL</given-names>
</name>
<name>
<surname>Scholz</surname> <given-names>RL</given-names>
</name>
<name>
<surname>Chaudhuri</surname> <given-names>AA</given-names>
</name>
<etal/>
</person-group>. <article-title>MicroRNA-155 Promotes Autoimmune Inflammation by Enhancing Inflammatory T Cell Development</article-title>. <source>Immunity</source> (<year>2010</year>) <volume>33</volume>(<issue>4</issue>):<page-range>607&#x2013;19</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.immuni.2010.09.009</pub-id>
</citation>
</ref>
<ref id="B46">
<label>46</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Su</surname> <given-names>S</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>Q</given-names>
</name>
<name>
<surname>He</surname> <given-names>C</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>D</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>miR-142-5p and miR-130a-3p Are Regulated by IL-4 and IL-13 and Control Profibrogenic Macrophage Program</article-title>. <source>Nat Commun</source> (<year>2015</year>) <volume>6</volume>:<fpage>8523</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/ncomms9523</pub-id>
</citation>
</ref>
<ref id="B47">
<label>47</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ciccia</surname> <given-names>F</given-names>
</name>
<name>
<surname>Alessandro</surname> <given-names>R</given-names>
</name>
<name>
<surname>Rizzo</surname> <given-names>A</given-names>
</name>
<name>
<surname>Raimondo</surname> <given-names>S</given-names>
</name>
<name>
<surname>Giardina</surname> <given-names>A</given-names>
</name>
<name>
<surname>Raiata</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>IL-33 Is Overexpressed in the Inflamed Arteries of Patients With Giant Cell Arteritis</article-title>. <source>Ann Rheum Dis</source> (<year>2013</year>) <volume>72</volume>(<issue>2</issue>):<page-range>258&#x2013;64</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1136/annrheumdis-2012-201309</pub-id>
</citation>
</ref>
<ref id="B48">
<label>48</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mandolesi</surname> <given-names>G</given-names>
</name>
<name>
<surname>De Vito</surname> <given-names>F</given-names>
</name>
<name>
<surname>Musella</surname> <given-names>A</given-names>
</name>
<name>
<surname>Gentile</surname> <given-names>A</given-names>
</name>
<name>
<surname>Bullitta</surname> <given-names>S</given-names>
</name>
<name>
<surname>Fresegna</surname> <given-names>D</given-names>
</name>
<etal/>
</person-group>. <article-title>miR-142-3p Is a Key Regulator of IL-1&#x3b2;-Dependent Synaptopathy in Neuroinflammation</article-title>. <source>J Neurosci</source> (<year>2017</year>) <volume>37</volume>(<issue>3</issue>):<page-range>546&#x2013;61</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1523/jneurosci.0851-16.2016</pub-id>
</citation>
</ref>
<ref id="B49">
<label>49</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Miranda</surname> <given-names>K</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Bam</surname> <given-names>M</given-names>
</name>
<name>
<surname>Murphy</surname> <given-names>EA</given-names>
</name>
<name>
<surname>Nagarkatti</surname> <given-names>PS</given-names>
</name>
<name>
<surname>Nagarkatti</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>MicroRNA-30 Modulates Metabolic Inflammation by Regulating Notch Signaling in Adipose Tissue Macrophages</article-title>. <source>Int J Obes (Lond)</source> (<year>2018</year>) <volume>42</volume>(<issue>6</issue>):<page-range>1140&#x2013;50</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41366-018-0114-1</pub-id>
</citation>
</ref>
<ref id="B50">
<label>50</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhai</surname> <given-names>C</given-names>
</name>
<name>
<surname>Cong</surname> <given-names>H</given-names>
</name>
<name>
<surname>Hou</surname> <given-names>K</given-names>
</name>
<name>
<surname>Hu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Effects of miR-124-3p Regulation of the P38mapk Signaling Pathway <italic>via</italic> MEKK3 on Apoptosis and Proliferation of Macrophages in Mice With Coronary Atherosclerosis</article-title>. <source>Adv Clin Exp Med</source> (<year>2020</year>) <volume>29</volume>(<issue>7</issue>):<page-range>803&#x2013;12</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.17219/acem/121926</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>