{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T20:57:12Z","timestamp":1777928232071,"version":"3.51.4"},"reference-count":39,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["OMICS: A Journal of Integrative Biology"],"published-print":{"date-parts":[[2025,4]]},"abstract":"<jats:p>\n                    Huntington\u2019s disease (HD) is characterized by progressive motor dysfunction and cognitive decline. Early diagnosis and new therapeutic targets are essential for effective interventions. We performed integrative analyses of mRNA profiles from three microarrays and one RNA-seq dataset from the Gene Expression Omnibus database. The datasets included were GSE8762, GSE24250, GSE45516, and GSE64810. Data pre-processing included background correction, normalization, log2 transformation, probe-to-gene symbol mapping, and differential expression analysis. We identified 80 differentially expressed genes (DEGs) based on a significance threshold (\n                    <jats:italic toggle=\"yes\">p<\/jats:italic>\n                    &lt; 0.05) and absolute log fold change (logFC) &gt;0.65. Additionally, we conducted Gene Ontology (GO) and pathway analyses of the identified genes. Protein-protein interactions among DEGs revealed a network from which seven hub genes (\n                    <jats:italic toggle=\"yes\">VIM, COL1A1, COL3A1, COL1A2, DCN, CXCR2,<\/jats:italic>\n                    and\n                    <jats:italic toggle=\"yes\">S100A9<\/jats:italic>\n                    ) were identified using the cytoHubba plugin in Cytoscape software. Two top DEGs,\n                    <jats:italic toggle=\"yes\">IGHG1<\/jats:italic>\n                    (up-regulated) and\n                    <jats:italic toggle=\"yes\">PITX1<\/jats:italic>\n                    (up-regulated), also hold potential as therapeutic targets. Insofar as biological contextualization of the findings is concerned, the top enriched GO terms were skeletal system development, blood vessel development, and vasculature development. Molecular function terms highlighted signaling receptor binding, extracellular matrix structural constituent, and platelet-derived growth factor binding. Notably, the significant KEGG pathways included amoebiasis, the AGE-RAGE signaling pathway in diabetic complications, and the relaxin signaling pathway. In conclusion, the present computational biology integrative analyses of multiple datasets discovered new DEGs and seven hub genes, shedding light on molecular mechanisms of HD. These findings call for translational clinical omics research and may potentially lead to future precision medicine interventions and novel diagnostic biomarkers and therapeutic targets.\n                  <\/jats:p>","DOI":"10.1089\/omi.2025.0006","type":"journal-article","created":{"date-parts":[[2025,3,10]],"date-time":"2025-03-10T05:29:36Z","timestamp":1741584576000},"page":"154-163","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Seven Hub Genes Associated with Huntington\u2019s Disease and Diagnostic and Therapeutic Potentials Identified by Computational Biology"],"prefix":"10.1177","volume":"29","author":[{"given":"Afzal","family":"Hussain","sequence":"first","affiliation":[{"name":"Department of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0399-4835","authenticated-orcid":false,"given":"Taj","family":"Mohammad","sequence":"additional","affiliation":[{"name":"Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shumayila","family":"Khan","sequence":"additional","affiliation":[{"name":"International Health Division, Indian Council of Medical Research, New Delhi, India."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed F.","family":"Alajmi","sequence":"additional","affiliation":[{"name":"Department of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dharmendra Kumar","family":"Yadav","sequence":"additional","affiliation":[{"name":"Department of Biologics, College of Pharmacy, Gachon University, Yeonsu-gu Incheon, Republic of Korea."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3663-4940","authenticated-orcid":false,"given":"Md. Imtaiyaz","family":"Hassan","sequence":"additional","affiliation":[{"name":"Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2025,4,2]]},"reference":[{"key":"e_1_3_7_2_1","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jmedchem.2c00799"},{"key":"e_1_3_7_3_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-025-56722-z"},{"key":"e_1_3_7_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-75936-4"},{"key":"e_1_3_7_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.imu.2020.100309"},{"key":"e_1_3_7_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00726-005-0265-y"},{"key":"e_1_3_7_7_1","volume-title":"OMICS and Network-Based Approaches in Understanding HD Pathogenesis. Rare Neurodegenerative Disorders - New Insights.","author":"Christodoulou CC","year":"2024","unstructured":"Christodoulou CC, , Papanicolaou EZ. 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Neuroinflammation in alzheimer\u2019s disease: Chemokines produced by astrocytes and chemokine receptors. 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