Identifying the molecular association between diabetic nephropathy and hepatocellular carcinoma: an network biology approach
Diabetic nephropathy (DN) and hepatocellular carcinoma (HCC) pose significant global health burdens. DN is the leading cause of end-stage renal disease and is closely associated with metabolic dysregulation, whereas HCC is the most common primary liver cancer, often arising from chronic liver condit...
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| Format: | Article |
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Institute for Medical Science, Jeju National University
2025-05-01
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| Series: | Journal of Medicine and Life Science |
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| Online Access: | http://e-jmls.org/upload/pdf/jmls-2025-22-2-60.pdf |
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| author | Tammanna R. Sahrawat Arnesh Saxena |
| author_facet | Tammanna R. Sahrawat Arnesh Saxena |
| author_sort | Tammanna R. Sahrawat |
| collection | DOAJ |
| description | Diabetic nephropathy (DN) and hepatocellular carcinoma (HCC) pose significant global health burdens. DN is the leading cause of end-stage renal disease and is closely associated with metabolic dysregulation, whereas HCC is the most common primary liver cancer, often arising from chronic liver conditions, including non-alcoholic fatty liver disease and cirrhosis. Although studies have indicated a clinical association between DN and HCC, the underlying molecular association remains unexplored; therefore, the present in-silico network biology study was conducted. Microarray datasets for DN and HCC were retrieved from the Gene Expression Omnibus and processed using Bioconductor Packages to identify differentially expressed genes (DEGs). For the common DEGs between DN and HCC, a protein-protein interaction (PPI) network was constructed using STRING. Topological analysis of the PPI network was performed using Cytoscape and its plug-ins, MCODE, CytoHubba, and CytoCluster, to identify hub genes, and their functional enrichment was performed using Enrichr Knowledge Graph. From the 67 common DEGs, five hub genes were identified, namely, APOA2, APOA5, APOC1, APOC3, and APOH, which belong to the apolipoprotein family. Kyoto Encyclopedia of Genes and Genomes enrichment analysis identified their involvement in cholesterol metabolism and proliferator-activated receptors (PPAR) signaling pathway, emphasizing their potential significance in lipid and other metabolic processes. Dysregulation of apolipoproteins results in altered lipid metabolism and oxidative stress in both diabetic complications and cancer progression. In conclusion, the hub genes identified in the present study can be further explored as promising biomarkers for prognosis and diagnosis in DN and HCC, as well as therapeutic interventions. |
| format | Article |
| id | doaj-art-4e5a923749374c1c92dff2b876f7dab3 |
| institution | OA Journals |
| issn | 2671-4922 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Institute for Medical Science, Jeju National University |
| record_format | Article |
| series | Journal of Medicine and Life Science |
| spelling | doaj-art-4e5a923749374c1c92dff2b876f7dab32025-08-20T01:59:21ZengInstitute for Medical Science, Jeju National UniversityJournal of Medicine and Life Science2671-49222025-05-01222606810.22730/jmls.2025.22.2.60565Identifying the molecular association between diabetic nephropathy and hepatocellular carcinoma: an network biology approachTammanna R. SahrawatArnesh Saxena0 Centre for Systems Biology and Bioinformatics, UIEAST, Panjab University, Chandigarh, IndiaDiabetic nephropathy (DN) and hepatocellular carcinoma (HCC) pose significant global health burdens. DN is the leading cause of end-stage renal disease and is closely associated with metabolic dysregulation, whereas HCC is the most common primary liver cancer, often arising from chronic liver conditions, including non-alcoholic fatty liver disease and cirrhosis. Although studies have indicated a clinical association between DN and HCC, the underlying molecular association remains unexplored; therefore, the present in-silico network biology study was conducted. Microarray datasets for DN and HCC were retrieved from the Gene Expression Omnibus and processed using Bioconductor Packages to identify differentially expressed genes (DEGs). For the common DEGs between DN and HCC, a protein-protein interaction (PPI) network was constructed using STRING. Topological analysis of the PPI network was performed using Cytoscape and its plug-ins, MCODE, CytoHubba, and CytoCluster, to identify hub genes, and their functional enrichment was performed using Enrichr Knowledge Graph. From the 67 common DEGs, five hub genes were identified, namely, APOA2, APOA5, APOC1, APOC3, and APOH, which belong to the apolipoprotein family. Kyoto Encyclopedia of Genes and Genomes enrichment analysis identified their involvement in cholesterol metabolism and proliferator-activated receptors (PPAR) signaling pathway, emphasizing their potential significance in lipid and other metabolic processes. Dysregulation of apolipoproteins results in altered lipid metabolism and oxidative stress in both diabetic complications and cancer progression. In conclusion, the hub genes identified in the present study can be further explored as promising biomarkers for prognosis and diagnosis in DN and HCC, as well as therapeutic interventions.http://e-jmls.org/upload/pdf/jmls-2025-22-2-60.pdfdiabetic nephropathiescarcinoma, hepatocellularapolipoproteinscomorbiditylipid metabolism |
| spellingShingle | Tammanna R. Sahrawat Arnesh Saxena Identifying the molecular association between diabetic nephropathy and hepatocellular carcinoma: an network biology approach Journal of Medicine and Life Science diabetic nephropathies carcinoma, hepatocellular apolipoproteins comorbidity lipid metabolism |
| title | Identifying the molecular association between diabetic nephropathy and hepatocellular carcinoma: an network biology approach |
| title_full | Identifying the molecular association between diabetic nephropathy and hepatocellular carcinoma: an network biology approach |
| title_fullStr | Identifying the molecular association between diabetic nephropathy and hepatocellular carcinoma: an network biology approach |
| title_full_unstemmed | Identifying the molecular association between diabetic nephropathy and hepatocellular carcinoma: an network biology approach |
| title_short | Identifying the molecular association between diabetic nephropathy and hepatocellular carcinoma: an network biology approach |
| title_sort | identifying the molecular association between diabetic nephropathy and hepatocellular carcinoma an network biology approach |
| topic | diabetic nephropathies carcinoma, hepatocellular apolipoproteins comorbidity lipid metabolism |
| url | http://e-jmls.org/upload/pdf/jmls-2025-22-2-60.pdf |
| work_keys_str_mv | AT tammannarsahrawat identifyingthemolecularassociationbetweendiabeticnephropathyandhepatocellularcarcinomaannetworkbiologyapproach AT arneshsaxena identifyingthemolecularassociationbetweendiabeticnephropathyandhepatocellularcarcinomaannetworkbiologyapproach |