Comparative analysis of gene expression in Diabetic vs Non-Diabetic Obese individuals

Diabetes and obesity are closely interconnected epidemics with shared and distinct molecular mechanisms. In this analysis, a comparative gene expression study was carried out among diabetic and non-diabetic obese patients using Gene Expression Omnibus dataset (GSE132831), containing 104 diabetic and 120 non-diabetic obese Patients. Differential Expressed Genes were identified, which results of 509 upregulated genes and 33,885 downregulated genes. Further Gene Ontology terms, such as Biological Process, Cellular Component and Molecular Function were analysed. Visualization of Differential Expressed Genes and pathway enrichment analysis indicated significant associations with metabolic and immune signaling pathways, and fold enrichment Analyses highlighted critical differences in gene activity between the two groups. Protein-Protein Interaction Network is generated, which showed highly connected clusters. These clusters identified the target genes Transmembrane Immune Signaling Adapter Protein (TYROBP) and Receptor for Activated C Kinase (RACK1) with their respective networks. These were considered potential targets for treatment because of the central Positions they occupy in metabolic and immune regulatory pathways associated with diabetic obesity.

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Publication Details

Journal
BIO Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/bioconf/202517204002
Primary Topic
RNA modifications and cancer
Type
article
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article

Comparative analysis of gene expression in Diabetic vs Non-Diabetic Obese individuals

Mastan M. M. Durga, Harish Ranjani, Thamodharan Vasanth, Puniethaa Prabhu et al.
BIO Web of Conferences
RNA modifications and cancer
article

Comparative analysis of gene expression in Diabetic vs Non-Diabetic Obese individuals

Mastan M. M. Durga, Harish Ranjani, Thamodharan Vasanth, Puniethaa Prabhu, K Hindhupriya
article en

Abstract

Diabetes and obesity are closely interconnected epidemics with shared and distinct molecular mechanisms. In this analysis, a comparative gene expression study was carried out among diabetic and non-diabetic obese patients using Gene Expression Omnibus dataset (GSE132831), containing 104 diabetic and 120 non-diabetic obese Patients. Differential Expressed Genes were identified, which results of 509 upregulated genes and 33,885 downregulated genes. Further Gene Ontology terms, such as Biological Process, Cellular Component and Molecular Function were analysed. Visualization of Differential Expressed Genes and pathway enrichment analysis indicated significant associations with metabolic and immune signaling pathways, and fold enrichment Analyses highlighted critical differences in gene activity between the two groups. Protein-Protein Interaction Network is generated, which showed highly connected clusters. These clusters identified the target genes Transmembrane Immune Signaling Adapter Protein (TYROBP) and Receptor for Activated C Kinase (RACK1) with their respective networks. These were considered potential targets for treatment because of the central Positions they occupy in metabolic and immune regulatory pathways associated with diabetic obesity.

BIO Web of ConferencesVol. 172
Openalex Percentile: Top 94%
RNA modifications and cancer
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