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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| Format: | Article |
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EDP Sciences
2025-01-01
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| 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. |
| format | Article |
| id | doaj-art-2301ff13c8e24073ac9ca9d74b1ac14e |
| institution | OA Journals |
| issn | 2117-4458 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | BIO Web of Conferences |
| 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 |