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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">ajmb60510</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> 
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        <subj-group>
            <subject></subject>
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      </article-categories>
      <title-group>
        <article-title>Prioritizing Candidate Genes for Type 2 Diabetes Mellitus using Integrated Network and Pathway Analysis</article-title>
      </title-group>
        <contrib-group><contrib contrib-type="author"><name><surname>Prakash</surname><given-names>Tejaswini</given-names></name></contrib></contrib-group><contrib-group><contrib contrib-type="author"><name><surname>B Ramachandra</surname><given-names>Nallur</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>14</volume>
      <issue>3</issue>
      <fpage>239</fpage>
      <lpage>246</lpage>
      <history>
        <date date-type="received">
          <day>13</day>
          <month>7</month>
          <year>2022</year>
        </date>
        <date date-type="accepted">
          <day>13</day>
          <month>7</month>
          <year>2022</year>
        </date>
      </history>
      <abstract>
      <p>
      &lt;p style=&quot;text-align:justify&quot;&gt;&lt;span style=&quot;font-size:11pt&quot;&gt;&lt;span style=&quot;font-size:9.5pt&quot;&gt;Background:&lt;/span&gt;&lt;span style=&quot;font-size:10.0pt&quot;&gt; Type 2 Diabetes Mellitus (T2DM) has emerged as a major threat to global health that fosters life-threatening clinical complications, taking a huge toll on our society. More than 65 million Indians suffer from T2DM, making it one of the leading causes of death. T2DM and associated complications have to be constantly monitored and managed which reduces the overall quality of life and increases socioeconomic burden. Therefore, it is crucial to develop specific treatment and management strategies. In order to achieve this, it is essential to understand the underlying genetic causes and molecular mechanisms.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;&lt;span style=&quot;font-size:9.5pt&quot;&gt;Methods:&lt;/span&gt;&lt;span style=&quot;font-size:10.0pt&quot;&gt; Integrated gene network and ontology analyses facilitate prioritization of plausible candidate genes for T2DM and also aid in understanding their mechanistic pathways. In this study, T2DM-associated genes were subjected to sequential interaction network and gene set enrichment analysis. High ranking network clusters were derived and their interrelation with pathways was assessed. &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;span style=&quot;font-size:9.5pt&quot;&gt;Results:&lt;/span&gt;&lt;span style=&quot;font-size:10.0pt&quot;&gt; About 23 significant candidate genes were prioritized from 615 T2DM-associ-ated genes which were overrepresented in pathways related to insulin resistance, type 2 diabetes, signaling cascades such as insulin receptor signaling pathway, PI3K signaling, IGFR signaling pathway, ERBB signaling pathway, MAPK signaling pathway and their regulatory mechanisms. &lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;&lt;span style=&quot;font-size:9.5pt&quot;&gt;Conclusion:&lt;/span&gt;&lt;span style=&quot;font-size:10.0pt&quot;&gt; Of these, two tyrosine kinase receptor genes-&lt;em&gt;EGFR&lt;/em&gt; and &lt;em&gt;IGF1R&lt;/em&gt; were identified as common nodes and can be considered to be significant candidate genes in T2DM.&lt;/span&gt;&lt;/p&gt;

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