EventsThe 1st International Online Conference on Diseases
Published
This submission belongs to the session S7. Endocrine and Metabolic Disorders of the event The 1st International Online Conference on Diseases
Published date
04 Sep, 2025
Academic Editor
author-avatarAndrea Cabrera-Pastor
Citation
Shubhra Vats, Dhiraj Kishore, Metabolic Disease and Coronary Risk: Biomarker and Pathway Signatures in T2DM-Driven Atherosclerosis, in Proceedings of The 1st International Online Conference on Diseases, 9 September–11 September 2025, MDPI: Basel, Switzerland
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Metabolic Disease and Coronary Risk: Biomarker and Pathway Signatures in T2DM-Driven Atherosclerosis

Dhiraj Kishore 1
1. Department of General Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh - 221005, India, India
Abstract

Introduction: Type 2 diabetes mellitus (T2DM) affects 462 million people globally and is linked to complications like retinopathy, nephropathy, neuropathy, and coronary artery disease (CAD). T2DM increases CAD risk, contributing to 75% of related mortality. Genetic predispositions and distinct mechanisms differentiate DM-CAD from other forms, such as CAD, caused by hypertension or degenerative changes, requiring gene expression profiling and transcriptome and reactome analyses to identify and establish molecular markers and improve its diagnosis, prognosis, and treatment strategies. Methods: The Gene Expression Omnibus (GEO) datasets GSE250283 and GSE90074 were used to identify the differentially expressed genes involved in DM-CAD. Biological targets were identified that coincided with the identified differentially expressed genes. The biological pathways were analyzed using the KEGG, and hub genes were identified for a further functional and signaling pathway analysis.

Results: The differentially expressed gene biomarkers were identified between the control and DM and DM-CAD. NLRP3, TLR4, STAT3, IL6, TNF-α, and NF-κB were found to be upregulated, while PPARG, SIRT1, and ADIPOR1 were downregulated, indicating significant pathways with involvement, including the oxidative stress response, JAK-STAT signaling, and insulin resistance and mitochondrial dysfunction.

Conclusion: Oxidative stress emerges as a critical driver of T2DM-CAD pathogenesis, influencing inflammatory pathways and metabolic dysfunction. Genes such as SOD2, CAT, and GPX1 highlight disruptions in antioxidant defense mechanisms, aligning with mitochondrial dysfunction. Elevated STAT3 expression in the JAK-STAT pathway and NLRP3 activation further exacerbate oxidative damage and inflammation. Meanwhile, the downregulation of SIRT1 and ADIPOQ underscores impaired glucose regulation and insulin sensitivity. These findings position oxidative stress as a key therapeutic target, alongside inflammasome and immune signaling pathways like the JAK-STAT pathway as novel therapeutic targets for mitigating T2DM-CAD's severity.

Keywords
T2DM
CAD
BIOMARKERS
OXIDATIVE STRESS
METABOLIC DISORDERS
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