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...

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Main Authors: M Durga, R Harish, K Hindhupriya, T T Vasanth, Prabhu Puniethaa
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:BIO Web of Conferences
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Online Access:https://www.bio-conferences.org/articles/bioconf/pdf/2025/23/bioconf_nittebio2025_04002.pdf
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author M Durga
R Harish
K Hindhupriya
T T Vasanth
Prabhu Puniethaa
author_facet M Durga
R Harish
K Hindhupriya
T T Vasanth
Prabhu Puniethaa
author_sort M Durga
collection DOAJ
description 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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spelling doaj-art-2301ff13c8e24073ac9ca9d74b1ac14e2025-08-20T02:16:29ZengEDP SciencesBIO Web of Conferences2117-44582025-01-011720400210.1051/bioconf/202517204002bioconf_nittebio2025_04002Comparative analysis of gene expression in Diabetic vs Non-Diabetic Obese individualsM Durga0R Harish1K Hindhupriya2T T Vasanth3Prabhu Puniethaa4Department of Biotechnology, K. S. Rangasamy College of TechnologyDepartment of Biotechnology, K. S. Rangasamy College of TechnologyDepartment of Biotechnology, K. S. Rangasamy College of TechnologyDepartment of Biotechnology, K. S. Rangasamy College of TechnologyDepartment of Biotechnology, K. S. Rangasamy College of TechnologyDiabetes 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.https://www.bio-conferences.org/articles/bioconf/pdf/2025/23/bioconf_nittebio2025_04002.pdfgene expression omnibusdiabetesobesitydifferential expressed genesprotein-protein interactiongene ontologyclusters
spellingShingle M Durga
R Harish
K Hindhupriya
T T Vasanth
Prabhu Puniethaa
Comparative analysis of gene expression in Diabetic vs Non-Diabetic Obese individuals
BIO Web of Conferences
gene expression omnibus
diabetes
obesity
differential expressed genes
protein-protein interaction
gene ontology
clusters
title Comparative analysis of gene expression in Diabetic vs Non-Diabetic Obese individuals
title_full Comparative analysis of gene expression in Diabetic vs Non-Diabetic Obese individuals
title_fullStr Comparative analysis of gene expression in Diabetic vs Non-Diabetic Obese individuals
title_full_unstemmed Comparative analysis of gene expression in Diabetic vs Non-Diabetic Obese individuals
title_short Comparative analysis of gene expression in Diabetic vs Non-Diabetic Obese individuals
title_sort comparative analysis of gene expression in diabetic vs non diabetic obese individuals
topic gene expression omnibus
diabetes
obesity
differential expressed genes
protein-protein interaction
gene ontology
clusters
url https://www.bio-conferences.org/articles/bioconf/pdf/2025/23/bioconf_nittebio2025_04002.pdf
work_keys_str_mv AT mdurga comparativeanalysisofgeneexpressionindiabeticvsnondiabeticobeseindividuals
AT rharish comparativeanalysisofgeneexpressionindiabeticvsnondiabeticobeseindividuals
AT khindhupriya comparativeanalysisofgeneexpressionindiabeticvsnondiabeticobeseindividuals
AT ttvasanth comparativeanalysisofgeneexpressionindiabeticvsnondiabeticobeseindividuals
AT prabhupuniethaa comparativeanalysisofgeneexpressionindiabeticvsnondiabeticobeseindividuals