Investigation of the Mechanism of Complement System in Diabetic Nephropathy via Bioinformatics Analysis
Objectives. Diabetic nephropathy (DN) is a major cause of end-stage renal disease (ESRD) throughout the world, and the identification of novel biomarkers via bioinformatics analysis could provide research foundation for future experimental verification and large-group cohort in DN models and patient...
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| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Diabetes Research |
| Online Access: | http://dx.doi.org/10.1155/2021/5546199 |
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| author | Bojun Xu Lei Wang Huakui Zhan Liangbin Zhao Yuehan Wang Meng Shen Keyang Xu Li Li Xu Luo Shasha Zhou Anqi Tang Gang Liu Lu Song Yan Li |
| author_facet | Bojun Xu Lei Wang Huakui Zhan Liangbin Zhao Yuehan Wang Meng Shen Keyang Xu Li Li Xu Luo Shasha Zhou Anqi Tang Gang Liu Lu Song Yan Li |
| author_sort | Bojun Xu |
| collection | DOAJ |
| description | Objectives. Diabetic nephropathy (DN) is a major cause of end-stage renal disease (ESRD) throughout the world, and the identification of novel biomarkers via bioinformatics analysis could provide research foundation for future experimental verification and large-group cohort in DN models and patients. Methods. GSE30528, GSE47183, and GSE104948 were downloaded from Gene Expression Omnibus (GEO) database to find differentially expressed genes (DEGs). The difference of gene expression between normal renal tissues and DN renal tissues was firstly screened by GEO2R. Then, the protein-protein interactions (PPIs) of DEGs were performed by STRING database, the result was integrated and visualized via applying Cytoscape software, and the hub genes in this PPI network were selected by MCODE and topological analysis. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were carried out to determine the molecular mechanisms of DEGs involved in the progression of DN. Finally, the Nephroseq v5 online platform was used to explore the correlation between hub genes and clinical features of DN. Results. There were 64 DEGs, and 32 hub genes were identified, enriched pathways of hub genes involved in several functions and expression pathways, such as complement binding, extracellular matrix structural constituent, complement cascade related pathways, and ECM proteoglycans. The correlation analysis and subgroup analysis of 7 complement cascade-related hub genes and the clinical characteristics of DN showed that C1QA, C1QB, C3, CFB, ITGB2, VSIG4, and CLU may participate in the development of DN. Conclusions. We confirmed that the complement cascade-related hub genes may be the novel biomarkers for DN early diagnosis and targeted treatment. |
| format | Article |
| id | doaj-art-8935d3f956284ed0ae2aa9bf8b4f9130 |
| institution | Kabale University |
| issn | 2314-6745 2314-6753 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Diabetes Research |
| spelling | doaj-art-8935d3f956284ed0ae2aa9bf8b4f91302025-02-03T05:52:56ZengWileyJournal of Diabetes Research2314-67452314-67532021-01-01202110.1155/2021/55461995546199Investigation of the Mechanism of Complement System in Diabetic Nephropathy via Bioinformatics AnalysisBojun Xu0Lei Wang1Huakui Zhan2Liangbin Zhao3Yuehan Wang4Meng Shen5Keyang Xu6Li Li7Xu Luo8Shasha Zhou9Anqi Tang10Gang Liu11Lu Song12Yan Li13Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072 Sichuan, ChinaKey Laboratory of Chinese Internal Medicine of Ministry of Education and Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, ChinaHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072 Sichuan, ChinaHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072 Sichuan, ChinaHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072 Sichuan, ChinaChengdu Seventh People’s Hospital, Chengdu, 610213 Sichuan, ChinaCentre for Cancer and Inflammation Research, School of Chinese Medicine, Hong Kong Baptist University, Hong KongHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072 Sichuan, ChinaThe First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning 530023, ChinaHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072 Sichuan, ChinaHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072 Sichuan, ChinaHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072 Sichuan, ChinaHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072 Sichuan, ChinaHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072 Sichuan, ChinaObjectives. Diabetic nephropathy (DN) is a major cause of end-stage renal disease (ESRD) throughout the world, and the identification of novel biomarkers via bioinformatics analysis could provide research foundation for future experimental verification and large-group cohort in DN models and patients. Methods. GSE30528, GSE47183, and GSE104948 were downloaded from Gene Expression Omnibus (GEO) database to find differentially expressed genes (DEGs). The difference of gene expression between normal renal tissues and DN renal tissues was firstly screened by GEO2R. Then, the protein-protein interactions (PPIs) of DEGs were performed by STRING database, the result was integrated and visualized via applying Cytoscape software, and the hub genes in this PPI network were selected by MCODE and topological analysis. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were carried out to determine the molecular mechanisms of DEGs involved in the progression of DN. Finally, the Nephroseq v5 online platform was used to explore the correlation between hub genes and clinical features of DN. Results. There were 64 DEGs, and 32 hub genes were identified, enriched pathways of hub genes involved in several functions and expression pathways, such as complement binding, extracellular matrix structural constituent, complement cascade related pathways, and ECM proteoglycans. The correlation analysis and subgroup analysis of 7 complement cascade-related hub genes and the clinical characteristics of DN showed that C1QA, C1QB, C3, CFB, ITGB2, VSIG4, and CLU may participate in the development of DN. Conclusions. We confirmed that the complement cascade-related hub genes may be the novel biomarkers for DN early diagnosis and targeted treatment.http://dx.doi.org/10.1155/2021/5546199 |
| spellingShingle | Bojun Xu Lei Wang Huakui Zhan Liangbin Zhao Yuehan Wang Meng Shen Keyang Xu Li Li Xu Luo Shasha Zhou Anqi Tang Gang Liu Lu Song Yan Li Investigation of the Mechanism of Complement System in Diabetic Nephropathy via Bioinformatics Analysis Journal of Diabetes Research |
| title | Investigation of the Mechanism of Complement System in Diabetic Nephropathy via Bioinformatics Analysis |
| title_full | Investigation of the Mechanism of Complement System in Diabetic Nephropathy via Bioinformatics Analysis |
| title_fullStr | Investigation of the Mechanism of Complement System in Diabetic Nephropathy via Bioinformatics Analysis |
| title_full_unstemmed | Investigation of the Mechanism of Complement System in Diabetic Nephropathy via Bioinformatics Analysis |
| title_short | Investigation of the Mechanism of Complement System in Diabetic Nephropathy via Bioinformatics Analysis |
| title_sort | investigation of the mechanism of complement system in diabetic nephropathy via bioinformatics analysis |
| url | http://dx.doi.org/10.1155/2021/5546199 |
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