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<p>Type 2 diabetes mellitus (T2DM) is a chronic and debilitating condition characterized by both insufficient production of insulin and insulin resistance, leading to poor blood sugar control. India ranks second globally in diabetes prevalence, with approximately 77&#xa0;million individuals currently affected by the disease. Although extensive research has been conducted, the molecular mechanisms of T2DM remain inadequately understood, which continues to pose challenges in the development of effective therapeutic strategies. In this study, we analyzed the GSE25724 microarray dataset and identified 2048 differentially expressed genes (DEGs) associated with T2DM. Among these, key hub genes include <i>ESR1, JUN, STAT3, CALM3, FN1, CXCL8, HIF-1α, FOXO3, CASP3, APP,</i> and <i>HSPA8</i>, which were identified through Cytoscape as central regulators, implicating inflammatory and immune pathways in T2DM progression. Using NetworkAnalyst, identified key transcription factors (<i>DDIT3, KLF12, HINF, SLC17A6, SP1, MAP1B, TUSC3</i> and <i>GALNT1</i>) and microRNA (hsa-miR-16-5p, hsa-miR-26b-5p, hsa-miR-93-5p, hsa-miR-192-5p, and hsa-miR-155-5p) that regulates important genes involved in T2DM, highlighting the complex gene regulation behind the disease. Genes such as <i>MAPK1, JUN</i>, and <i>CREB1</i> from key signalling pathways, as well as <i>PCSK1, COL3A1</i>, and <i>PTGS2</i> identified through gene-disease association databases, have strong links to type 2 diabetes. These genes are believed to play potential roles in the development and progression of T2DM by participating in biological pathways relevant to the disease. Among the hub genes, <i>POU3F1, CX3CL1</i>, and <i>PCSK1</i> exhibited strong diagnostic accuracy for T2DM, with each achieving ROC curve and AUC values greater than 0.90. This indicates exceptional sensitivity and specificity in distinguishing T2DM from non-diabetic controls. Overall, our findings shed light on the molecular mechanism of T2DM and identify novel biomarkers and therapeutic targets that may support future precision medicine strategies to enhance diagnosis and treatment outcomes.</p>

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Integrative analysis of DEGs and regulatory networks in T2DM: identification of core genes and regulatory elements as novel therapeutic targets

  • 期刊论文

  • 发表日期：

    2025年8月8日

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  • Madhu Yadav,
  • Yusuf Akhter

摘要

Type 2 diabetes mellitus (T2DM) is a chronic and debilitating condition characterized by both insufficient production of insulin and insulin resistance, leading to poor blood sugar control. India ranks second globally in diabetes prevalence, with approximately 77 million individuals currently affected by the disease. Although extensive research has been conducted, the molecular mechanisms of T2DM remain inadequately understood, which continues to pose challenges in the development of effective therapeutic strategies. In this study, we analyzed the GSE25724 microarray dataset and identified 2048 differentially expressed genes (DEGs) associated with T2DM. Among these, key hub genes include ESR1, JUN, STAT3, CALM3, FN1, CXCL8, HIF-1α, FOXO3, CASP3, APP, and HSPA8, which were identified through Cytoscape as central regulators, implicating inflammatory and immune pathways in T2DM progression. Using NetworkAnalyst, identified key transcription factors (DDIT3, KLF12, HINF, SLC17A6, SP1, MAP1B, TUSC3 and GALNT1) and microRNA (hsa-miR-16-5p, hsa-miR-26b-5p, hsa-miR-93-5p, hsa-miR-192-5p, and hsa-miR-155-5p) that regulates important genes involved in T2DM, highlighting the complex gene regulation behind the disease. Genes such as MAPK1, JUN, and CREB1 from key signalling pathways, as well as PCSK1, COL3A1, and PTGS2 identified through gene-disease association databases, have strong links to type 2 diabetes. These genes are believed to play potential roles in the development and progression of T2DM by participating in biological pathways relevant to the disease. Among the hub genes, POU3F1, CX3CL1, and PCSK1 exhibited strong diagnostic accuracy for T2DM, with each achieving ROC curve and AUC values greater than 0.90. This indicates exceptional sensitivity and specificity in distinguishing T2DM from non-diabetic controls. Overall, our findings shed light on the molecular mechanism of T2DM and identify novel biomarkers and therapeutic targets that may support future precision medicine strategies to enhance diagnosis and treatment outcomes.