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<article xml:lang="en" article-type="research-article" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Molecular Medicine Reports</journal-id>
<journal-title-group>
<journal-title>Molecular Medicine Reports</journal-title></journal-title-group>
<issn pub-type="ppub">1791-2997</issn>
<issn pub-type="epub">1791-3004</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/mmr.2012.1176</article-id>
<article-id pub-id-type="publisher-id">mmr-07-01-0287</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>Association of pre-miRNA-146a rs2910164 and pre-miRNA-499 rs3746444 polymorphisms and susceptibility to rheumatoid arthritis</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>HASHEMI</surname><given-names>MOHAMMAD</given-names></name><xref rid="af1-mmr-07-01-0287" ref-type="aff">1</xref><xref rid="af2-mmr-07-01-0287" ref-type="aff">2</xref><xref ref-type="corresp" rid="c1-mmr-07-01-0287"/></contrib>
<contrib contrib-type="author">
<name><surname>ESKANDARI-NASAB</surname><given-names>EBRAHIM</given-names></name><xref rid="af2-mmr-07-01-0287" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>ZAKERI</surname><given-names>ZAHRA</given-names></name><xref rid="af3-mmr-07-01-0287" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>ATABAKI</surname><given-names>MAHDI</given-names></name><xref rid="af4-mmr-07-01-0287" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author">
<name><surname>BAHARI</surname><given-names>GHOLAMREZA</given-names></name><xref rid="af2-mmr-07-01-0287" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>JAHANTIGH</surname><given-names>MAHDI</given-names></name><xref rid="af5-mmr-07-01-0287" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author">
<name><surname>TAHERI</surname><given-names>MOHSEN</given-names></name><xref rid="af6-mmr-07-01-0287" ref-type="aff">6</xref></contrib>
<contrib contrib-type="author">
<name><surname>GHAVAMI</surname><given-names>SAEID</given-names></name><xref rid="af7-mmr-07-01-0287" ref-type="aff">7</xref></contrib></contrib-group>
<aff id="af1-mmr-07-01-0287">
<label>1</label>Cellular and Molecular Research Center, Zahedan University of Medical Sciences, Zahedan, Iran</aff>
<aff id="af2-mmr-07-01-0287">
<label>2</label>Department of Clinical Biochemistry, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran</aff>
<aff id="af3-mmr-07-01-0287">
<label>3</label>Department of Internal Medicine, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran</aff>
<aff id="af4-mmr-07-01-0287">
<label>4</label>Department of Immunology, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran</aff>
<aff id="af5-mmr-07-01-0287">
<label>5</label>Department of Pathology, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran</aff>
<aff id="af6-mmr-07-01-0287">
<label>6</label>Genetics of Non Communicable Disease Research Center, Zahedan University of Medical Sciences, Zahedan, Iran</aff>
<aff id="af7-mmr-07-01-0287">
<label>7</label>Department of Physiology, Manitoba Institute of Child Health, University of Manitoba, Winnipeg, MB, Canada</aff>
<author-notes>
<corresp id="c1-mmr-07-01-0287">Correspondence to: Professor Mohammad Hashemi, Department of Clinical Biochemistry, School of Medicine, Zahedan University of Medical Sciences, Khalij Fars Blv, Zahedan, Iran, E-mail: <email>mhd.hashemi@gmail.com</email>; <email>hashemim@zdmu.ac.ir</email></corresp></author-notes>
<pub-date pub-type="ppub">
<month>1</month>
<year>2013</year></pub-date>
<pub-date pub-type="epub">
<day>08</day>
<month>11</month>
<year>2012</year></pub-date>
<volume>7</volume>
<issue>1</issue>
<fpage>287</fpage>
<lpage>291</lpage>
<history>
<date date-type="received">
<day>09</day>
<month>07</month>
<year>2012</year></date>
<date date-type="accepted">
<day>02</day>
<month>10</month>
<year>2012</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2013, Spandidos Publications</copyright-statement>
<copyright-year>2013</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/3.0">
<license-p>This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited.</license-p></license></permissions>
<abstract>
<p>Single nucleotide polymorphisms in pre-microRNA (miRNA) may alter miRNA expression levels or processing and contribute to susceptibility in a wide range of diseases. The present study aimed to evaluate the possible association between rs2910164 and rs3746444 of the pre-miRNA (hsa-mir-146a and hsa-mir-499) polymorphisms and susceptibility to rheumatoid arthritis (RA) in an Iranian population. This case-control study was performed on 104 patients with RA and 110 healthy individuals. Tetra amplification refractory mutation system-polymerase chain reaction was used to genotype the hsa-mir-499 rs3746444 and hsa-mir-146a rs2910164 polymorphisms. The hsa-mir-499 rs3746444 polymorphism was a risk factor for predisposition to RA in codominant &#x0005B;TT vs. TC: odds ratio (OR), 2.11; 95&#x00025; confidence interval (CI), 1.08&#x02013;4.11; P&#x0003D;0.029; TT vs. CC: OR, 3.88; 95&#x00025; CI, 1.68&#x02013;8.98; P&#x0003D;0.002&#x0005D;, dominant (TT vs. TC-CC: OR, 2.64; 95&#x00025; CI, 1.48&#x02013;4.72; P&#x0003D;0.001) and recessive (TC-CC vs. CC: OR, 3.05; 95&#x00025; CI, 1.36&#x02013;6.83; P&#x0003D;0.007) tested inheritance models. In addition, the rs3746444 C allele was a risk factor for RA (OR, 2.49; 95&#x00025; CI, 1.63&#x02013;3.81; P&lt;0.0001). No significant difference was found between the groups concerning the rs2910164 polymorphism (&#x003C7;<sup>2</sup>&#x0003D;0.348, P&#x0003D;0.841). Our findings demonstrated that the hsa-mir-499 rs3746444, but not mir-146a rs2910164, polymorphism is associated with an increased RA risk in a sample of the Iranian population. Larger studies with different ethnicities are required to validate our findings.</p></abstract>
<kwd-group>
<kwd>rheumatoid arthritis</kwd>
<kwd>microRNAs</kwd>
<kwd>hsa-mir-146a</kwd>
<kwd>hsa-mir-499</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Rheumatoid arthritis (RA) is a systemic autoimmune disease which affects 0.5&#x02013;1&#x00025; of the general population worldwide (<xref rid="b1-mmr-07-01-0287" ref-type="bibr">1</xref>). A chronic and deforming arthritis, RA is characterized by accelerated inflammatory joint destruction of articular cartilage and bone and synovial hyperplasia, which ultimately leads to severe disabilities and a poor quality of life (<xref rid="b2-mmr-07-01-0287" ref-type="bibr">2</xref>,<xref rid="b3-mmr-07-01-0287" ref-type="bibr">3</xref>). The etiology of RA is unknown, but genetic factors are thought to be important in the pathogenesis and progress of RA (<xref rid="b1-mmr-07-01-0287" ref-type="bibr">1</xref>,<xref rid="b4-mmr-07-01-0287" ref-type="bibr">4</xref>). One class of genetic variants that have recently been the center of attention are DNA polymorphisms that affect microRNA (miRNA) binding (<xref rid="b5-mmr-07-01-0287" ref-type="bibr">5</xref>). miRNAs are approximately 22-nucleotide (nt) non-coding RNAs that are involved in the post-transcriptional regulation of gene expression by affecting the stability and translation of mRNAs (<xref rid="b6-mmr-07-01-0287" ref-type="bibr">6</xref>). Compelling evidence indicates that miRNAs act as key regulators of various processes, including early development, cell proliferation, differentiation, stress resistance, cell fate determination, apoptosis, signal transduction and organ development (<xref rid="b7-mmr-07-01-0287" ref-type="bibr">7</xref>&#x02013;<xref rid="b10-mmr-07-01-0287" ref-type="bibr">10</xref>). miRNAs are present in dried biological fluids, including semen, saliva, vaginal secretions and menstrual blood and are expected to be diagnostic and prognostic biomarkers of various diseases, including cancer and autoimmune diseases such as RA (<xref rid="b11-mmr-07-01-0287" ref-type="bibr">11</xref>,<xref rid="b12-mmr-07-01-0287" ref-type="bibr">12</xref>).</p>
<p>Abnormal expression of several miRNAs has been detected in RA in various cell types and these miRNAs regulate specific pathways, thus leading to the inflammatory milieu occurring in RA (<xref rid="b2-mmr-07-01-0287" ref-type="bibr">2</xref>). Hsa-mir-499 is involved in autoimmune and inflammatory disease. The targets of hsa-mir-499 include IL-17R&#x003B2;, IL-23&#x003B1;, IL-2R, IL-6, IL-2 and IL-18R. IL-6 activates the production of CRP (C-reactive protein) and fibrinogen through the liver and IL-17R&#x003B2;, IL-23&#x003B1;, IL-2R, IL-6, IL-2 and IL-18R contribute to the progress and pathogenesis of RA (<xref rid="b8-mmr-07-01-0287" ref-type="bibr">8</xref>). Findings of recent studies have shown that the rs3746444 polymorphism in the pre-miR-499 is correlated with several diseases, including breast cancer (<xref rid="b13-mmr-07-01-0287" ref-type="bibr">13</xref>), cervical squamous cell carcinoma (CSCC) (<xref rid="b14-mmr-07-01-0287" ref-type="bibr">14</xref>), hepatocellular carcinoma (<xref rid="b15-mmr-07-01-0287" ref-type="bibr">15</xref>), RA (<xref rid="b8-mmr-07-01-0287" ref-type="bibr">8</xref>), coronary artery disease (CAD) (<xref rid="b16-mmr-07-01-0287" ref-type="bibr">16</xref>), chronic obstructive pulmonary disease (COPD) (<xref rid="b17-mmr-07-01-0287" ref-type="bibr">17</xref>) and tuberculosis (<xref rid="b17-mmr-07-01-0287" ref-type="bibr">17</xref>).</p>
<p>More recently the miRNA hsa-mir-146a has also received considerable attention, as it was reported to be overexpressed in synovial fibroblasts, synovial tissue, synovial fluid monocytes, peripheral blood mononuclear cells (PBMCs) and serum plasma of RA patients (<xref rid="b18-mmr-07-01-0287" ref-type="bibr">18</xref>). This polymorphism was principally studied for its association with several diseases, including psoriatic arthritis (<xref rid="b19-mmr-07-01-0287" ref-type="bibr">19</xref>), multiple sclerosis (MS) (<xref rid="b20-mmr-07-01-0287" ref-type="bibr">20</xref>), tuberculosis (<xref rid="b17-mmr-07-01-0287" ref-type="bibr">17</xref>), ulcerative colitis, RA (<xref rid="b8-mmr-07-01-0287" ref-type="bibr">8</xref>,<xref rid="b21-mmr-07-01-0287" ref-type="bibr">21</xref>), SLE (<xref rid="b16-mmr-07-01-0287" ref-type="bibr">16</xref>) and various types of cancer (<xref rid="b22-mmr-07-01-0287" ref-type="bibr">22</xref>&#x02013;<xref rid="b29-mmr-07-01-0287" ref-type="bibr">29</xref>).</p>
<p>Overall, these two single nucleotide polymorphisms (SNPs; rs3746444 and rs2910164) are located at the pre-miRNA regions of hsa-mir-499 and hsa-mir-146a (<xref rid="b21-mmr-07-01-0287" ref-type="bibr">21</xref>), respectively. Given the evidence that SNPs located in the mature miRNA regions affect binding to target mRNAs and the pre-miRNA maturation process (<xref rid="b30-mmr-07-01-0287" ref-type="bibr">30</xref>), the aim of the present study was to evaluate the impact of the rs3746444 and rs2910164 polymorphisms on risk of RA in a sample of the Iranian population.</p></sec>
<sec sec-type="methods">
<title>Materials and methods</title>
<sec>
<title>Patients</title>
<p>We evaluated the possible association between polymorphisms of hsa-mir-146a and hsa-mir-499 genes (rs2910164 G/C and rs3746444 T/C, respectively) and RA susceptibility in 104 patients meeting the American College of Rheumatology criteria for RA (<xref rid="b31-mmr-07-01-0287" ref-type="bibr">31</xref>). The patients were selected from the Rheumatology Clinic at Zahedan University of Medical Sciences (<xref rid="b4-mmr-07-01-0287" ref-type="bibr">4</xref>,<xref rid="b32-mmr-07-01-0287" ref-type="bibr">32</xref>,<xref rid="b33-mmr-07-01-0287" ref-type="bibr">33</xref>). The control group involved 110 healthy individuals with no relationship to RA patients. The Ethics Committee of Zahedan University of Medical Sciences approved the project and informed consent was obtained from all patients and healthy individuals. Genomic DNA was extracted from peripheral blood samples as previously described (<xref rid="b33-mmr-07-01-0287" ref-type="bibr">33</xref>).</p></sec>
<sec>
<title>Tetra amplification refractory mutation system-polymerase chain reaction (T-ARMS-PCR)</title>
<p>T-ARMS-PCR is a simple and rapid method with a high level of accuracy for the detection of SNPs (<xref rid="b34-mmr-07-01-0287" ref-type="bibr">34</xref>&#x02013;<xref rid="b36-mmr-07-01-0287" ref-type="bibr">36</xref>). This system was used for genotyping of the rs2910164 G/C and rs3746444 T/C polymorphisms. Genotyping of rs2910164 and rs3746444 was performed using two outer primers (FO and RO) and two inner allele-specific primers (FI and RI) for each SNP, as listed in <xref rid="tI-mmr-07-01-0287" ref-type="table">Table I</xref>. PCR was performed using commercially available PCR premix (AccuPower PCR PreMix; Bioneer, Daejeon, South Korea) according to the manufacturer&#x02019;s instructions. The PCR cycling conditions were 95&#x000B0;C for 5 min followed by 30 cycles of 30 sec at 95&#x000B0;C, 25 sec at 61&#x000B0;C for rs2910164, 27 sec at 60&#x000B0;C for rs3746444 and 25 sec at 72&#x000B0;C, with a final extension of 72&#x000B0;C for 10 min. The PCR products were verified on 2&#x00025; agarose gels containing 0.5 &#x003BC;g/ml ethidium bromide and observed under UV light. The product sizes for rs2910164 were 169 bp for the C allele and 249 bp for the G allele, while the product size for the two outer primers (control band) was 364 bp (<xref rid="f1-mmr-07-01-0287" ref-type="fig">Fig. 1</xref>). The amplicon sizes for the rs3746444 were 422 bp for the control band, 206 bp for the C allele and 268 bp for the T allele (<xref rid="f2-mmr-07-01-0287" ref-type="fig">Fig 2</xref>). To ensure genotyping quality, we regenotyped 20&#x00025; of the random samples and found no genotyping errors.</p></sec>
<sec>
<title>Statistical analysis</title>
<p>Statistical analysis was calculated using SPSS 18 software. Data were analyzed by independent sample t-test and &#x003C7;<sup>2</sup> test. The association between genotypes of hsa-mir-146a and hsa-mir-499 genes and RA were assessed by computing the odds ratio (OR) and 95&#x00025; confidence intervals (95&#x00025; CIs) from logistic regression analyses. P&lt;0.05 was considered to indicate a statistically significant difference.</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<p>The study group consisted of 104 RA patients (91 females and 13 males) with an average age of 44.7&#x000B1;13.3 years, and 110 healthy subjects (70 females and 40 males) with a mean age of 43.5&#x000B1;10.2 years. No significant difference was found between the groups with respect to age (P&#x0003D;0.458), but a significant difference was observed between the groups with respect to gender (P&#x0003D;0.0001).</p>
<p>The frequency distribution of hsa-mir-499 rs3746444 T/C genotypes in RA patients and normal subjects are demonstrated in <xref rid="tII-mmr-07-01-0287" ref-type="table">Table II</xref>. A significant difference was found between case and control groups with regard to rs3746444 T/C polymorphism (&#x003C7;<sup>2</sup>&#x0003D;13.32, P&#x0003D;0.001). The hsa-mir-499 rs3746444 T/C polymorphism was a risk factor for predisposition to RA in codominant (TT vs. TC: OR, 2.11; 95&#x00025; CI, 1.08&#x02013;4.11; P&#x0003D;0.029; TT vs. CC: OR, 3.88; 95&#x00025; CI, 1.68&#x02013;8.98; P&#x0003D;0.002), dominant (TT vs. TC-CC: OR, 2.64; 95&#x00025; CI, 1.48&#x02013;4.72; P&#x0003D;0.001) and recessive (TC-CC vs. CC: OR, 3.05; 95&#x00025; CI, 1.36&#x02013;6.33; P&#x0003D;0.007) tested inheritance models (<xref rid="tII-mmr-07-01-0287" ref-type="table">Table II</xref>). Furthermore, the rs3746444 C allele was identified as a risk factor for susceptibility to RA (OR, 2.49; 95&#x00025; CI, 1.63&#x02013;3.81; P&lt;0.0001).</p>
<p>As demonstrated in <xref rid="tIII-mmr-07-01-0287" ref-type="table">Table III</xref>, the genotypes and allele frequencies of mir-146a rs2910164 were not found to be as significantly different between RA patients and control subjects (&#x003C7;<sup>2</sup>&#x0003D;0.348, P&#x0003D;0.841).</p></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>In the present study, we analyzed the correlation between genetic polymorphisms in hsa-mir-146a rs2910164 and hsa-mir-499 rs3746444 and susceptibility to RA in a sample of the Iranian population. The hsa-mir-499 rs3746444 polymorphism was revealed to be associated with an overall increased risk of RA in codominant, dominant and recessive tested inheritance models. The prevalence of rs3746444 TC (30.8&#x00025;) and CC (25&#x00025;) variants in RA patients were identified as significantly higher than that in the healthy individuals (22.7 and 10&#x00025;, respectively) and the C allele (minor allele) of rs3746444 was found to be as more frequent in patients with RA than that of controls (40.4 vs. 21.4&#x00025;, respectively). However, no association was detected between the hsa-mir-146a rs2910164 polymorphism and the risk of RA in our population. In contrast to our findings, Yang <italic>et al</italic>(<xref rid="b21-mmr-07-01-0287" ref-type="bibr">21</xref>) did not detect a significant association between hsa-mir-499 rs3746444 polymorphisms and RA. However, the authors observed that carriers of the CT genotype in rs3746444 had a higher level of anti-cyclic citrullinated protein (CCP) antibody. In agreement with results of the present study, no significant difference was detected between the groups with respect to the hsa-mir-146a rs2910164 polymorphism.</p>
<p>Polymorphisms in miRNA genes may alter a wide spectrum of biological processes by affecting the processing and/or target selection of miRNAs (<xref rid="b30-mmr-07-01-0287" ref-type="bibr">30</xref>). A growing number of studies have revealed that polymorphisms in miRNA target sites affect the pathogenesis of several human diseases, including inflammatory bowel (<xref rid="b11-mmr-07-01-0287" ref-type="bibr">11</xref>) and Crohn&#x02019;s disease (<xref rid="b37-mmr-07-01-0287" ref-type="bibr">37</xref>), ulcerative colitis (<xref rid="b11-mmr-07-01-0287" ref-type="bibr">11</xref>), psoriasis (<xref rid="b38-mmr-07-01-0287" ref-type="bibr">38</xref>), COPD (<xref rid="b39-mmr-07-01-0287" ref-type="bibr">39</xref>), SLE (<xref rid="b40-mmr-07-01-0287" ref-type="bibr">40</xref>), MS (<xref rid="b20-mmr-07-01-0287" ref-type="bibr">20</xref>) and RA (<xref rid="b41-mmr-07-01-0287" ref-type="bibr">41</xref>&#x02013;<xref rid="b44-mmr-07-01-0287" ref-type="bibr">44</xref>). The most severe consequence of RA is joint damage, which leads to disability, deformity, morbidity and mortality (<xref rid="b1-mmr-07-01-0287" ref-type="bibr">1</xref>,<xref rid="b45-mmr-07-01-0287" ref-type="bibr">45</xref>). The principal benefit of the detection of hsa-mir-146a and hsa-mir-499 in circulating PBMCs is for utilization as biomarkers to monitor the course of the disease, without the difficulty of invasive surgical procedures to obtain joint tissues and cells for miRNA analysis (<xref rid="b2-mmr-07-01-0287" ref-type="bibr">2</xref>).</p>
<p>The polymorphism in the hsa-mir-499 rs3746444 has been reported to have a marked correlation with a variety of diseases including breast cancer (<xref rid="b13-mmr-07-01-0287" ref-type="bibr">13</xref>), CSCC (<xref rid="b14-mmr-07-01-0287" ref-type="bibr">14</xref>), hepatocellular carcinoma (<xref rid="b15-mmr-07-01-0287" ref-type="bibr">15</xref>), RA (<xref rid="b8-mmr-07-01-0287" ref-type="bibr">8</xref>), CAD (<xref rid="b16-mmr-07-01-0287" ref-type="bibr">16</xref>), COPD (<xref rid="b17-mmr-07-01-0287" ref-type="bibr">17</xref>) and tuberculosis (<xref rid="b17-mmr-07-01-0287" ref-type="bibr">17</xref>). In their study, Yang <italic>et al</italic> have demonstrated that carriers of the heterozygote genotype (CT) of rs3746444 in RA exhibit higher levels of CRP and erythrocyte sedimentation rate compared to the homozygote carriers (CC and TT), indicative of an important role for rs3746444 in the progress and inflammatory reaction of RA (<xref rid="b8-mmr-07-01-0287" ref-type="bibr">8</xref>). Additional investigation by the same group detected no positive correlation between the SNPs (rs3746444 and rs2910164) and RA. Those authors found that carriers of the genotype CT in rs3746444 had a higher level of anti-CCP antibody in RA and that the SNP rs3746444 may be a candidate biomarker for predicting joint damage in RA patients (<xref rid="b21-mmr-07-01-0287" ref-type="bibr">21</xref>). However, no significant association was observed between rs3746444 and risk of several diseases, including SLE (<xref rid="b16-mmr-07-01-0287" ref-type="bibr">16</xref>), schizophrenia (<xref rid="b46-mmr-07-01-0287" ref-type="bibr">46</xref>), asthma (<xref rid="b47-mmr-07-01-0287" ref-type="bibr">47</xref>) and colorectal (<xref rid="b32-mmr-07-01-0287" ref-type="bibr">32</xref>), gallbladder (<xref rid="b48-mmr-07-01-0287" ref-type="bibr">48</xref>), breast (<xref rid="b23-mmr-07-01-0287" ref-type="bibr">23</xref>) and lung cancer (<xref rid="b49-mmr-07-01-0287" ref-type="bibr">49</xref>).</p>
<p>No association was found between rs2910164 and predisposition to RA in our population. This common hsa-mir-146a polymorphism, rs2910164, involves a G&gt;C nucleotide replacement that causes change from a G:U pair to a C:U mismatch in the stem structure of the hsa-mir-146a precursor, which affects the specificity of mature hsa-mir-146a in binding to its targets, resulting in an elevated expression of hsa-mir-146a (<xref rid="b5-mmr-07-01-0287" ref-type="bibr">5</xref>). The hsa-mir-146a was found to be upregulated in psoriasis (<xref rid="b50-mmr-07-01-0287" ref-type="bibr">50</xref>) and circulating PBMCs of RA patients (<xref rid="b18-mmr-07-01-0287" ref-type="bibr">18</xref>), but is downregulated in SLE (<xref rid="b50-mmr-07-01-0287" ref-type="bibr">50</xref>). Hsa-mir-146a binds several targets, including IRAK2, FADD, IRF-5, Stat-1, PTC1 and FAF1, highlighting the important role of this miRNA in inflammation and apoptosis processes (<xref rid="b5-mmr-07-01-0287" ref-type="bibr">5</xref>).</p>
<p>In conclusion, the present study has shown a marked correlation between the hsa-mir-499 rs3746444 polymorphism and susceptibility to RA in a sample of the Iranian population. However, no association was revealed between the hsa-mir-146a rs2910164 variant and RA susceptibility. Consistent with growing evidence, the present study has demonstrated that miRNA polymorphisms may be suitable for use as diagnostic biomarkers for RA in future.</p></sec></body>
<back>
<ack>
<title>Acknowledgements</title>
<p>This study was partly supported by a research grant from the Zahedan University of Medical Sciences. The authors would like to thank all subjects who willingly participated in the study.</p></ack>
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<floats-group>
<fig id="f1-mmr-07-01-0287" position="float">
<label>Figure 1</label>
<caption>
<p>Representative PCR products of tetra amplification refractory mutation system-polymerase chain reaction (T-ARMS-PCR) resolved by agarose gel electrophoresis to detect the pre-miRNA-146a rs2910164 G/C polymorphism. M, DNA marker; lanes 1 and 5, rs2910164 GC; lanes 2 and 4, GG; lane 3, CC.</p></caption>
<graphic xlink:href="MMR-07-01-0287-g00.gif"/></fig>
<fig id="f2-mmr-07-01-0287" position="float">
<label>Figure 2</label>
<caption>
<p>Electrophoresis pattern of tetra amplification refractory mutation system-polymerase chain reaction (T-ARMS-PCR) for the detection of pre-miRNA-499 rs3746444 T/C polymorphism. M: DNA marker; lanes 1 and 4, rs3746444 TC; lanes 2, 3 and 6, TT; lane 5, CC.</p></caption>
<graphic xlink:href="MMR-07-01-0287-g01.gif"/></fig>
<table-wrap id="tI-mmr-07-01-0287" position="float">
<label>Table I</label>
<caption>
<p>Primer sequences for the detection of hsa-mir-146a and hsa-miR-499 gene polymorphisms.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Gene</th>
<th align="center" valign="bottom">Primer</th>
<th align="center" valign="bottom">Sequence (5&#x02032;-3&#x02032;)</th>
<th align="center" valign="bottom">Amplicon size (bp)</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">hsa-mir-146a; rs2910164 G&gt;C</td>
<td align="left" valign="top">FO</td>
<td align="left" valign="top">GGCCTGGTCTCCTCCAGATGTTTAT</td>
<td align="center" valign="top">364</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">RO</td>
<td align="left" valign="top">ATACCTTCAGAGCCTGAGACTCTGCC</td>
<td align="center" valign="top">364</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">FI (C allele)</td>
<td align="left" valign="top">ATGGGTTGTGTCAGTGTCAGACGTC</td>
<td align="center" valign="top">169</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">RI (G allele)</td>
<td align="left" valign="top">GATATCCCAGCTGAAGAACTGAATTTGAC</td>
<td align="center" valign="top">249</td></tr>
<tr>
<td align="left" valign="top">hsa-miR-499; rs3746444 T&gt;C</td>
<td align="left" valign="top">FO</td>
<td align="left" valign="top">GAGTGACCAGGCCCCTTGTCTCTATTAG</td>
<td align="center" valign="top">422</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">RO</td>
<td align="left" valign="top">TTGCTCTTTCACTCTCATTCTGGTGATG</td>
<td align="center" valign="top">422</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">FI (C allele)</td>
<td align="left" valign="top">ATGTTTAACTCCTCTCCACGTGACCG</td>
<td align="center" valign="top">206</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">RI (T allele)</td>
<td align="left" valign="top">GGGAAGCAGCACAGACTTGCTGTTAT</td>
<td align="center" valign="top">268</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-mmr-07-01-0287">
<p>FO, forward outer; RO, reverse outer; FI, forward inner; RI, reverse inner.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tII-mmr-07-01-0287" position="float">
<label>Table II</label>
<caption>
<p>Frequency distribution of hsa-mir-499 genotypes in RA patients and normal subjects.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Model</th>
<th align="center" valign="bottom">rs3746444 T&gt;C</th>
<th align="center" valign="bottom">RA n (&#x00025;)</th>
<th align="center" valign="bottom">Control n (&#x00025;)</th>
<th align="center" valign="bottom"><xref rid="tfn2-mmr-07-01-0287" ref-type="table-fn">a</xref>OR (95&#x00025; CI)</th>
<th align="center" valign="bottom">P-value</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Codominant</td>
<td align="left" valign="top">TT</td>
<td align="right" valign="top">46 (44.2)</td>
<td align="center" valign="top">74 (67.3)</td>
<td align="left" valign="top">Ref.</td>
<td align="center" valign="top">-</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">TC</td>
<td align="right" valign="top">32 (30.8)</td>
<td align="center" valign="top">25 (22.7)</td>
<td align="left" valign="top">2.11 (1.08&#x02013;4.11)</td>
<td align="center" valign="top">0.029</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">CC</td>
<td align="right" valign="top">26 (25.0)</td>
<td align="center" valign="top">11 (10.0)</td>
<td align="left" valign="top">3.88 (1.68&#x02013;8.98)</td>
<td align="center" valign="top">0.002</td></tr>
<tr>
<td align="left" valign="top">Dominant</td>
<td align="left" valign="top">TT</td>
<td align="right" valign="top">46 (44.2)</td>
<td align="center" valign="top">74 (67.3)</td>
<td align="left" valign="top">Ref.</td>
<td align="center" valign="top">-</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">TC&#x0002B;CC</td>
<td align="right" valign="top">58 (58.8)</td>
<td align="center" valign="top">36 (32.7)</td>
<td align="left" valign="top">2.64 (1.48&#x02013;4.72)</td>
<td align="center" valign="top">0.001</td></tr>
<tr>
<td align="left" valign="top">Recessive</td>
<td align="left" valign="top">TT&#x0002B;TC</td>
<td align="right" valign="top">78 (75.0)</td>
<td align="center" valign="top">99 (90.0)</td>
<td align="left" valign="top">Ref.</td>
<td align="center" valign="top">-</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">CC</td>
<td align="right" valign="top">26 (25.0)</td>
<td align="center" valign="top">11 (10.0)</td>
<td align="left" valign="top">3.05 (1.36&#x02013;6.83)</td>
<td align="center" valign="top">0.007</td></tr>
<tr>
<td align="left" valign="top">Alleles</td>
<td align="left" valign="top">T</td>
<td align="right" valign="top">124 (59.6)</td>
<td align="center" valign="top">173 (78.6)</td>
<td align="left" valign="top">Ref.</td>
<td align="center" valign="top">-</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">C</td>
<td align="right" valign="top">84 (40.4)</td>
<td align="center" valign="top">47 (21.4)</td>
<td align="left" valign="top">2.49 (1.63&#x02013;3.81)</td>
<td align="center" valign="top">&lt;0.0001</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn2-mmr-07-01-0287">
<label>a</label>
<p>Adjusted for gender and age.</p></fn><fn id="tfn3-mmr-07-01-0287">
<p>RA, rheumatoid arthritis; OR, odds ratio; CI, confidence interval.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tIII-mmr-07-01-0287" position="float">
<label>Table III</label>
<caption>
<p>Frequency distribution of hsa-mir-499 genotypes in RA patients and normal subjects.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Model</th>
<th align="center" valign="bottom">rs3746444 T&gt;C</th>
<th align="center" valign="bottom">RA n (&#x00025;)</th>
<th align="center" valign="bottom">Control n (&#x00025;)</th>
<th align="center" valign="bottom"><xref rid="tfn4-mmr-07-01-0287" ref-type="table-fn">a</xref>OR (95&#x00025;CI)</th>
<th align="center" valign="bottom">P-value</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Codominant</td>
<td align="left" valign="top">GG</td>
<td align="center" valign="top">57 (54.8)</td>
<td align="center" valign="top">64 (59.2)</td>
<td align="left" valign="top">Ref.</td>
<td align="left" valign="top">-</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">GC</td>
<td align="center" valign="top">39 (37.5)</td>
<td align="center" valign="top">37 (33.6)</td>
<td align="left" valign="top">1.06 (0.58&#x02013;1.94)</td>
<td align="left" valign="top">0.840</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">CC</td>
<td align="center" valign="top">8 (7.7)</td>
<td align="center" valign="top">9 (8.2)</td>
<td align="left" valign="top">0.89 (0.31&#x02013;2.58)</td>
<td align="left" valign="top">0.835</td></tr>
<tr>
<td align="left" valign="top">Dominant</td>
<td align="left" valign="top">GG</td>
<td align="center" valign="top">57 (54.8)</td>
<td align="center" valign="top">64 (58.2)</td>
<td align="left" valign="top">Ref.</td>
<td align="left" valign="top">-</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">GC&#x0002B;CC</td>
<td align="center" valign="top">47 (45.2)</td>
<td align="center" valign="top">46 (41.8)</td>
<td align="left" valign="top">1.03 (0.58&#x02013;1.81)</td>
<td align="left" valign="top">0.918</td></tr>
<tr>
<td align="left" valign="top">Recessive</td>
<td align="left" valign="top">GG&#x0002B;GC</td>
<td align="center" valign="top">96 (92.3)</td>
<td align="center" valign="top">101 (91.8)</td>
<td align="left" valign="top">Ref.</td>
<td align="left" valign="top">-</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">CC</td>
<td align="center" valign="top">8 (7.7)</td>
<td align="center" valign="top">9 (8.2)</td>
<td align="left" valign="top">0.87 (0.31&#x02013;2.46)</td>
<td align="left" valign="top">0.796</td></tr>
<tr>
<td align="left" valign="top">Alleles</td>
<td align="left" valign="top">G</td>
<td align="center" valign="top">139 (71.6)</td>
<td align="center" valign="top">165 (75.0)</td>
<td align="left" valign="top">Ref.</td>
<td align="left" valign="top">-</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">C</td>
<td align="center" valign="top">55 (28.4)</td>
<td align="center" valign="top">55 (28.4)</td>
<td align="left" valign="top">55 (28.4)</td>
<td align="left" valign="top">0.504</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn4-mmr-07-01-0287">
<label>a</label>
<p>Adjusted for gender and age.</p></fn><fn id="tfn5-mmr-07-01-0287">
<p>RA, rheumatoid arthritis; OR, odds ratio; CI, confidence interval.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
