Identification and functional analysis of energy metabolism and pyroptosis-related genes in diabetic nephropathy
Background: Energy metabolism and pyroptosis are integral to the pathogenesis of diabetic nephropathy (DN). However, the precise roles of energy metabolism and pyroptosis in DN development remain unclear. This study aims to elucidate the roles of energy metabolism- and pyroptosis-related differentia...
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Elsevier
2025-02-01
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| author | Shan He Jian Ye Yu Wang Lu yang Xie Si Yi Liu Qin kai Chen |
| author_facet | Shan He Jian Ye Yu Wang Lu yang Xie Si Yi Liu Qin kai Chen |
| author_sort | Shan He |
| collection | DOAJ |
| description | Background: Energy metabolism and pyroptosis are integral to the pathogenesis of diabetic nephropathy (DN). However, the precise roles of energy metabolism and pyroptosis in DN development remain unclear. This study aims to elucidate the roles of energy metabolism- and pyroptosis-related differentially expressed genes (EMAPRDEGs) in DN development. Methods: EMAPRDEGs were identified by querying the GeneCards and Gene Expression Omnibus (GEO) databases. Subsequent analyses included Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment, Gene Set Enrichment Analysis (GSEA), and Protein-Protein Interaction (PPI) network analysis. Additionally, mRNA-miRNA, mRNA-drug, and mRNA-transcription factor (TF) interaction networks were constructed. Differential expression and receiver operating characteristic (ROC) curve analyses were performed to evaluate the diagnostic potential of EMAPRDEGs. Immune cell infiltration in DN was assessed using the ssGSEA algorithm, and the expression levels of EMAPRDEGs in DN tissues were validated by quantitative real-time PCR (qRT-PCR). Results: Thirteen EMAPRDEGs were identified, with GO and KEGG analyses indicating their involvement in energy metabolism pathways. GSEA revealed significant enrichment of these genes in biological pathways associated with diabetic nephropathy. PPI network analysis highlighted the central role of these genes within the relevant pathways. Predictive modeling demonstrated interactions between EMAPRDEGs, 69 miRNAs, and 117 TFs. Immune infiltration analysis showed substantial alterations in immune cell populations, with ADH1B and PC showing a significant correlation with natural killer cells and memory B cells. ROC curve analysis confirmed the diagnostic potential of EMAPRDEGs for diabetic nephropathy. qRT-PCR validated the expression patterns of CASP1, IL-18, PDK4, and FBP1, which were consistent with the bioinformatics predictions. Conclusion: Bioinformatics analysis identified 13 candidate EMAPRDEGs, among which CASP1, IL-18, PDK4, and FBP1 emerge as potential biomarkers for diabetic nephropathy. |
| format | Article |
| id | doaj-art-b6d0454f7d29403194d12f2c4023f904 |
| institution | Kabale University |
| issn | 2405-8440 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj-art-b6d0454f7d29403194d12f2c4023f9042025-02-07T04:47:55ZengElsevierHeliyon2405-84402025-02-01113e42201Identification and functional analysis of energy metabolism and pyroptosis-related genes in diabetic nephropathyShan He0Jian Ye1Yu Wang2Lu yang Xie3Si Yi Liu4Qin kai Chen5Department of Nephrology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, ChinaDepartment of Nephrology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, ChinaDepartment of Nephrology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, ChinaDepartment of Nephrology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, ChinaCorresponding author.; Department of Nephrology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, ChinaCorresponding author.; Department of Nephrology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, ChinaBackground: Energy metabolism and pyroptosis are integral to the pathogenesis of diabetic nephropathy (DN). However, the precise roles of energy metabolism and pyroptosis in DN development remain unclear. This study aims to elucidate the roles of energy metabolism- and pyroptosis-related differentially expressed genes (EMAPRDEGs) in DN development. Methods: EMAPRDEGs were identified by querying the GeneCards and Gene Expression Omnibus (GEO) databases. Subsequent analyses included Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment, Gene Set Enrichment Analysis (GSEA), and Protein-Protein Interaction (PPI) network analysis. Additionally, mRNA-miRNA, mRNA-drug, and mRNA-transcription factor (TF) interaction networks were constructed. Differential expression and receiver operating characteristic (ROC) curve analyses were performed to evaluate the diagnostic potential of EMAPRDEGs. Immune cell infiltration in DN was assessed using the ssGSEA algorithm, and the expression levels of EMAPRDEGs in DN tissues were validated by quantitative real-time PCR (qRT-PCR). Results: Thirteen EMAPRDEGs were identified, with GO and KEGG analyses indicating their involvement in energy metabolism pathways. GSEA revealed significant enrichment of these genes in biological pathways associated with diabetic nephropathy. PPI network analysis highlighted the central role of these genes within the relevant pathways. Predictive modeling demonstrated interactions between EMAPRDEGs, 69 miRNAs, and 117 TFs. Immune infiltration analysis showed substantial alterations in immune cell populations, with ADH1B and PC showing a significant correlation with natural killer cells and memory B cells. ROC curve analysis confirmed the diagnostic potential of EMAPRDEGs for diabetic nephropathy. qRT-PCR validated the expression patterns of CASP1, IL-18, PDK4, and FBP1, which were consistent with the bioinformatics predictions. Conclusion: Bioinformatics analysis identified 13 candidate EMAPRDEGs, among which CASP1, IL-18, PDK4, and FBP1 emerge as potential biomarkers for diabetic nephropathy.http://www.sciencedirect.com/science/article/pii/S240584402500581XGEO databaseDiabetic nephropathyEnergy metabolism and pyroptosisBioinformaticsqRT-PCR |
| spellingShingle | Shan He Jian Ye Yu Wang Lu yang Xie Si Yi Liu Qin kai Chen Identification and functional analysis of energy metabolism and pyroptosis-related genes in diabetic nephropathy Heliyon GEO database Diabetic nephropathy Energy metabolism and pyroptosis Bioinformatics qRT-PCR |
| title | Identification and functional analysis of energy metabolism and pyroptosis-related genes in diabetic nephropathy |
| title_full | Identification and functional analysis of energy metabolism and pyroptosis-related genes in diabetic nephropathy |
| title_fullStr | Identification and functional analysis of energy metabolism and pyroptosis-related genes in diabetic nephropathy |
| title_full_unstemmed | Identification and functional analysis of energy metabolism and pyroptosis-related genes in diabetic nephropathy |
| title_short | Identification and functional analysis of energy metabolism and pyroptosis-related genes in diabetic nephropathy |
| title_sort | identification and functional analysis of energy metabolism and pyroptosis related genes in diabetic nephropathy |
| topic | GEO database Diabetic nephropathy Energy metabolism and pyroptosis Bioinformatics qRT-PCR |
| url | http://www.sciencedirect.com/science/article/pii/S240584402500581X |
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