{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T20:35:29Z","timestamp":1781901329051,"version":"3.54.5"},"reference-count":102,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2025,5,26]],"date-time":"2025-05-26T00:00:00Z","timestamp":1748217600000},"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":[[2025,6]]},"abstract":"<jats:p>\n                    Amyloid deposits formed by misfolding and aggregation of human islet amyloid polypeptide (hIAPP) are one of the key pathophysiological features of type 2 diabetes mellitus (T2DM) and have been associated with the loss of function and viability of the pancreatic \u03b2-cells. The molecular processes by which hIAPP induces cytotoxicity in these cells are not well understood. To the best of our knowledge, this is the first report describing findings from the combined analysis of Affymetrix microarray and high-throughput sequencing (HTS) Gene Expression Omnibus (GEO) datasets of h\n                    <jats:italic toggle=\"yes\">IAPP<\/jats:italic>\n                    -transgenic (Tg) mice islets. In brief, using GEO data, we compared\n                    <jats:italic toggle=\"yes\">in silico<\/jats:italic>\n                    the pancreatic islets obtained from h\n                    <jats:italic toggle=\"yes\">IAPP<\/jats:italic>\n                    -Tg and wild-type mice. Affymetrix microarray datasets (GSE84423, GSE85380, and GSE94672) and HTS datasets (GSE135276 and GSE148809) were chosen. Weighted gene coexpression network analysis was performed using GSE135276 to identify the coexpressed gene networks and establish a correlation pattern between gene modules and h\n                    <jats:italic toggle=\"yes\">IAPP<\/jats:italic>\n                    overexpression under hyperglycemic conditions. Subsequently, we analyzed differential gene expression with the remaining datasets. Network analysis was performed to identify hub genes and the associated pathways using Cytoscape. Key findings from the present study include identification of seven hub genes, namely,\n                    <jats:italic toggle=\"yes\">Ins2<\/jats:italic>\n                    ,\n                    <jats:italic toggle=\"yes\">Agt<\/jats:italic>\n                    ,\n                    <jats:italic toggle=\"yes\">Jun<\/jats:italic>\n                    ,\n                    <jats:italic toggle=\"yes\">Fos<\/jats:italic>\n                    ,\n                    <jats:italic toggle=\"yes\">CD44<\/jats:italic>\n                    ,\n                    <jats:italic toggle=\"yes\">Igf1<\/jats:italic>\n                    , and\n                    <jats:italic toggle=\"yes\">Ppar-\u03b3<\/jats:italic>\n                    , significantly involved in the process(es) of insulin synthesis and secretion, development of insulin resistance, oxidative stress, inflammation, mitophagy, and apoptosis. In conclusion, we propose that these hub genes can help explain T2DM pathogenesis and can be potentially utilized to develop therapeutic interventions targeting hIAPP for clinical management of T2DM.\n                  <\/jats:p>","DOI":"10.1089\/omi.2024.0216","type":"journal-article","created":{"date-parts":[[2025,4,22]],"date-time":"2025-04-22T11:46:28Z","timestamp":1745322388000},"page":"268-282","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Explaining Type 2 Diabetes with Transcriptomic Signatures of Pancreatic \u03b2-Cell Dysfunction and Death Induced by Human Islet Amyloid Polypeptide"],"prefix":"10.1177","volume":"29","author":[{"given":"Pratiksha H.","family":"Roham","sequence":"first","affiliation":[{"name":"Department of Biotechnology, Savitribai Phule Pune University, Pune, India."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Saurabh 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