Explaining Type 2 Diabetes with Transcriptomic Signatures of Pancreatic β-Cell Dysfunction and Death Induced by Human Islet Amyloid Polypeptide

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 β-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<i>IAPP</i>-transgenic (Tg) mice islets. In brief, using GEO data, we compared <i>in silico</i> the pancreatic islets obtained from h<i>IAPP</i>-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<i>IAPP</i> 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, <i>Ins2</i>, <i>Agt</i>, <i>Jun</i>, <i>Fos</i>, <i>CD44</i>, <i>Igf1</i>, and <i>Ppar-γ</i>, 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.

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Journal
OMICS A Journal of Integrative Biology
Published
2025-04-22
DOI
https://doi.org/10.1089/omi.2024.0216
Citations
2
Primary Topic
Pancreatic function and diabetes
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article
Field-Weighted Citation Impact
4.01
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article

Explaining Type 2 Diabetes with Transcriptomic Signatures of Pancreatic β-Cell Dysfunction and Death Induced by Human Islet Amyloid Polypeptide

Pratiksha H. Roham, Saurabh Singh Yadav, Shilpy Sharma, Sujata Roy et al.
2 citations
OMICS A Journal of Integrative Biology
Pancreatic function and diabetes
4.01
article

Explaining Type 2 Diabetes with Transcriptomic Signatures of Pancreatic β-Cell Dysfunction and Death Induced by Human Islet Amyloid Polypeptide

Pratiksha H. Roham, Saurabh Singh Yadav, Shilpy Sharma, Sujata Roy, Pranjali Potdar, B. Senthilnathan
article en
2 citations

Abstract

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 β-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<i>IAPP</i>-transgenic (Tg) mice islets. In brief, using GEO data, we compared <i>in silico</i> the pancreatic islets obtained from h<i>IAPP</i>-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<i>IAPP</i> 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, <i>Ins2</i>, <i>Agt</i>, <i>Jun</i>, <i>Fos</i>, <i>CD44</i>, <i>Igf1</i>, and <i>Ppar-γ</i>, 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.

OMICS A Journal of Integrative BiologyVol. 29(6)
Rajalakshmi Engineering College, Savitribai Phule Pune University (IN)
Good health and well-being
Openalex Percentile: Top 8%
Pancreatic function and diabetes
4.01
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