Identification of hub genes in the crosstalk between type 2 diabetic nephropathy and obesity according to bioinformatics analysis
Diabetic nephropathy (DN) and obesity bring a huge burden to society. Obesity plays a crucial role in the progression of type 2 DN, but the pathophysiology remains unclear. Thus, we aimed the explore the association between type 2 DN and obesity using bioinformatics method. The gene expression profi...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Adipocyte |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/21623945.2024.2423723 |
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| author | Shaomin Shi Ke Ding Feng Chen Mei Yang Lihua Ni Xiaoyan Wu |
| author_facet | Shaomin Shi Ke Ding Feng Chen Mei Yang Lihua Ni Xiaoyan Wu |
| author_sort | Shaomin Shi |
| collection | DOAJ |
| description | Diabetic nephropathy (DN) and obesity bring a huge burden to society. Obesity plays a crucial role in the progression of type 2 DN, but the pathophysiology remains unclear. Thus, we aimed the explore the association between type 2 DN and obesity using bioinformatics method. The gene expression profiles of type 2 DN (GSE96804) and obesity (GSE94752) were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were screened with the thresholds defined as |log2FC| ≥1 and P<0.05. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed. Subsequently, a protein-protein interaction network was constructed based on the STRING database. Hub genes were identified, and the co-expression network was constructed. Finally, the hub genes were verified in clinical samples of 24 patients by immunohistochemistry. A total of 17 common DEGs were identified. Finally, two overlapping hub genes were identified (CCL18, C1QC). C1QC has been verified in clinical specimens. Using bioinformatics methods, the present study analyzed the common DEGs and the potential pathogenic mechanisms involved in type 2 DN and obesity. C1QC was the hub gene. Further studies are needed to clarify the specific relationships among C1QC, type 2 DN and obesity. |
| format | Article |
| id | doaj-art-f29fc9cf90b342a58005a24d71fe96d9 |
| institution | Kabale University |
| issn | 2162-3945 2162-397X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Adipocyte |
| spelling | doaj-art-f29fc9cf90b342a58005a24d71fe96d92024-12-09T07:23:11ZengTaylor & Francis GroupAdipocyte2162-39452162-397X2024-12-0113110.1080/21623945.2024.2423723Identification of hub genes in the crosstalk between type 2 diabetic nephropathy and obesity according to bioinformatics analysisShaomin Shi0Ke Ding1Feng Chen2Mei Yang3Lihua Ni4Xiaoyan Wu5Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, ChinaXiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, ChinaDepartment of Nephrology, Zhongnan Hospital of Wuhan University, Donghu Road, Wuhan, Hubei, ChinaXiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, ChinaDepartment of Nephrology, Zhongnan Hospital of Wuhan University, Donghu Road, Wuhan, Hubei, ChinaDepartment of Nephrology, Zhongnan Hospital of Wuhan University, Donghu Road, Wuhan, Hubei, ChinaDiabetic nephropathy (DN) and obesity bring a huge burden to society. Obesity plays a crucial role in the progression of type 2 DN, but the pathophysiology remains unclear. Thus, we aimed the explore the association between type 2 DN and obesity using bioinformatics method. The gene expression profiles of type 2 DN (GSE96804) and obesity (GSE94752) were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were screened with the thresholds defined as |log2FC| ≥1 and P<0.05. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed. Subsequently, a protein-protein interaction network was constructed based on the STRING database. Hub genes were identified, and the co-expression network was constructed. Finally, the hub genes were verified in clinical samples of 24 patients by immunohistochemistry. A total of 17 common DEGs were identified. Finally, two overlapping hub genes were identified (CCL18, C1QC). C1QC has been verified in clinical specimens. Using bioinformatics methods, the present study analyzed the common DEGs and the potential pathogenic mechanisms involved in type 2 DN and obesity. C1QC was the hub gene. Further studies are needed to clarify the specific relationships among C1QC, type 2 DN and obesity.https://www.tandfonline.com/doi/10.1080/21623945.2024.2423723Diabetic nephropathyobesitydifferentially expressed geneshub genesbioinformatics |
| spellingShingle | Shaomin Shi Ke Ding Feng Chen Mei Yang Lihua Ni Xiaoyan Wu Identification of hub genes in the crosstalk between type 2 diabetic nephropathy and obesity according to bioinformatics analysis Adipocyte Diabetic nephropathy obesity differentially expressed genes hub genes bioinformatics |
| title | Identification of hub genes in the crosstalk between type 2 diabetic nephropathy and obesity according to bioinformatics analysis |
| title_full | Identification of hub genes in the crosstalk between type 2 diabetic nephropathy and obesity according to bioinformatics analysis |
| title_fullStr | Identification of hub genes in the crosstalk between type 2 diabetic nephropathy and obesity according to bioinformatics analysis |
| title_full_unstemmed | Identification of hub genes in the crosstalk between type 2 diabetic nephropathy and obesity according to bioinformatics analysis |
| title_short | Identification of hub genes in the crosstalk between type 2 diabetic nephropathy and obesity according to bioinformatics analysis |
| title_sort | identification of hub genes in the crosstalk between type 2 diabetic nephropathy and obesity according to bioinformatics analysis |
| topic | Diabetic nephropathy obesity differentially expressed genes hub genes bioinformatics |
| url | https://www.tandfonline.com/doi/10.1080/21623945.2024.2423723 |
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