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    <journal-meta>
      <journal-id journal-id-type="nlm-ta">Avicenna J Med Biotech</journal-id>
      <journal-id journal-id-type="publisher-id">arij002</journal-id>
      <journal-title-group>
        <journal-title>Avicenna Journal of Medical Biotechnology</journal-title>
      </journal-title-group>
      <issn pub-type="ppub">2008-2835</issn>
      <issn pub-type="epub">2008-4625</issn>
      <publisher>
        <publisher-name>Avicenna Research Institute</publisher-name>
      </publisher>
    </journal-meta>

    <article-meta>
      <article-id pub-id-type="publisher-id">ajmb70629</article-id>
      <article-id pub-id-type="doi"></article-id>
      <article-id pub-id-type="pmid"></article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
             <subject></subject> 
        </subj-group>
        <subj-group>
            <subject></subject>
        </subj-group> 
      </article-categories>
      <title-group>
        <article-title>Comparative Expression of ADAMTS2, CA1, and OLAH in Immune Cells of  Rheumatoid Arthritis Patients: Real-time PCR Study on In-silico analysis of Treated vs. Newly Diagnosed Patients</article-title>
      </title-group>
        <contrib-group><contrib contrib-type="author"><name><surname>Dehghan</surname><given-names>Fatemeh</given-names></name></contrib></contrib-group><contrib-group><contrib contrib-type="author"><name><surname>Bazi</surname><given-names>Zahra</given-names></name></contrib></contrib-group><contrib-group><contrib contrib-type="author"><name><surname>Aghaei </surname><given-names>Mehrdad</given-names></name></contrib></contrib-group><contrib-group><contrib contrib-type="author"><name><surname>Gholizadeh</surname><given-names>Masoomeh</given-names></name></contrib></contrib-group><contrib-group><contrib contrib-type="author"><name><surname>Malakouti</surname><given-names>Romina</given-names></name></contrib></contrib-group><contrib-group><contrib contrib-type="author"><name><surname>Hesari</surname><given-names>Zahra</given-names></name></contrib></contrib-group>
      <pub-date pub-type="ppub">
        <day></day>
        <month></month>
        <year></year>
      </pub-date>
      <pub-date pub-type="epub">
        <day></day>
        <month></month>
        <year></year>
      </pub-date>
      <volume>17</volume>
      <issue>4</issue>
      <fpage>286</fpage>
      <lpage>292</lpage>
      <history>
        <date date-type="received">
          <day>19</day>
          <month>7</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>25</day>
          <month>9</month>
          <year>2025</year>
        </date>
      </history>
      <abstract>
      <p>
      &lt;p style=&quot;text-align:justify&quot;&gt;&lt;span style=&quot;font-size:11pt&quot;&gt;&lt;strong&gt;&lt;span style=&quot;font-size:10.0pt&quot;&gt;Background:&lt;/span&gt;&lt;/strong&gt;&lt;span style=&quot;font-size:10.0pt&quot;&gt; Rheumatoid Arthritis (RA) is a chronic inflammatory joint disease. Current treatments often have limited efficacy and cause side effects due to their nonspecific action, while early diagnosis is challenging. This study combined bioinformatics and experimental methods to identify key genes and pathways involved in RA, aiming to discover novel therapeutic targets and diagnostic biomarkers.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;&lt;span style=&quot;font-size:11pt&quot;&gt;&lt;strong&gt;&lt;span style=&quot;font-size:10.0pt&quot;&gt;Methods:&lt;/span&gt;&lt;/strong&gt;&lt;span style=&quot;font-size:10.0pt&quot;&gt; RNA-seq data from immune cells of RA patients and healthy donors (GSE117769) were analyzed with DESeq to identify Differentially Expressed Genes (DEGs). Affected pathways were explored using EnrichR, and druggable genes were identified through DGIdb and a literature review. Expression of candidate genes was validated in additional RA blood and synovium microarray datasets (GSE45291, GSE82107, GSE77298) using the GEO2R tool. Finally, RT-qPCR was used to measure the expression of selected genes in Peripheral blood Mononuclear Cells (PBMCs) from newly-diagnosed and chronic RA patients and controls, with associations to clinical features and diagnostic accuracy assessed.&lt;/span&gt; &lt;span style=&quot;font-size:10.0pt&quot;&gt;Synovial fluid of RA patients were stained with Giemsa.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;&lt;span style=&quot;font-size:11pt&quot;&gt;&lt;strong&gt;&lt;span style=&quot;font-size:10.0pt&quot;&gt;Results: &lt;/span&gt;&lt;/strong&gt;&lt;span style=&quot;font-size:10.0pt&quot;&gt;Combined &lt;em&gt;in-silico&lt;/em&gt; and experimental analysis demonstrated significant upregulation of &lt;em&gt;CA1, OLAH&lt;/em&gt;, and &lt;em&gt;ADAMTS2&lt;/em&gt; in the PBMCs of RA patients. However, only &lt;em&gt;ADAMTS2 &lt;/em&gt;showed high expression in the synovial tissue of these patients. While &lt;em&gt;OLAH&lt;/em&gt; and &lt;em&gt;ADAMTS2&lt;/em&gt; were predominantly overexpressed in newly-diagnosed cases, &lt;em&gt;CA1&lt;/em&gt; levels were consistently elevated in both early and chronic stages of RA. &lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;&lt;span style=&quot;font-size:11pt&quot;&gt;&lt;strong&gt;&lt;span style=&quot;font-size:10.0pt&quot;&gt;Conclusion:&lt;/span&gt;&lt;/strong&gt;&lt;span style=&quot;font-size:10.0pt&quot;&gt; This study identified &lt;em&gt;CA1, OLAH&lt;/em&gt;, and &lt;em&gt;ADAMTS2&lt;/em&gt; as being upregulated in RA, with &lt;em&gt;ADAMTS2&lt;/em&gt; showing promise as a therapeutic target, suggesting it may also have potential as a candidate for diagnosis and treatment.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

      </p>
      </abstract>
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