Untargeted metabolomic and proteomic analysis implicates SIRT2 as a novel therapeutic target for diabetic nephropathy

Diabetic nephropathy (DN) is one of the major causes of end-stage renal disease. This study aimed to explore the internal relationship between metabolic processes and autoimmune responses in patients with DN via untargeted metabolomics and Olink proteomics. The serum of 10 patients who were diagnosed with DN and 10 healthy individuals via untargeted metabolomics and Olink proteomics. Animal models were used to validate the characterized genes. Correlation analysis of major differentially abundant metabolites and differentially expressed proteins revealed that SIRT2 might be a key hub linking energy metabolism and innate immune responses. KEGG enrichment analysis showed that HIF-1 signaling pathway and renal cell carcinoma pathway were co-enriched pathways in energy metabolism and inflammatory response. VEGFA plays a vital role in these two signaling pathways. The ability of SIRT2 to regulate VEGFA expression has been demonstrated. In vivo experiments revealed that SIRT2, VEGFA, and HIF-1α were highly expressed in the kidneys of mice with diabetic nephropathy. In conclusion, our study combines metabolomics and proteomics to provide valuable insights into the synergistic roles of metabolic disorders and inflammatory responses in DN. The data suggest that SIRT2 may be a key target affecting these processes.

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Publication Details

Journal
Scientific Reports
Published
2025-02-04
DOI
https://doi.org/10.1038/s41598-024-80492-1
Citations
6
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
4.84
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article

Untargeted metabolomic and proteomic analysis implicates SIRT2 as a novel therapeutic target for diabetic nephropathy

Keyi Fan, Ruijing Zhang, Jinshan Chen, Lizheng Li et al.
6 citations
Scientific Reports
Metabolomics and Mass Spectrometry Studies
4.84
article

Untargeted metabolomic and proteomic analysis implicates SIRT2 as a novel therapeutic target for diabetic nephropathy

Keyi Fan, Ruijing Zhang, Jinshan Chen, Lizheng Li, Honglin Dong, Sheng Yan, Yuhang Zhang, Heng Wang, Chuanlong Lu, Runze Chang
article en
6 citations

Abstract

Diabetic nephropathy (DN) is one of the major causes of end-stage renal disease. This study aimed to explore the internal relationship between metabolic processes and autoimmune responses in patients with DN via untargeted metabolomics and Olink proteomics. The serum of 10 patients who were diagnosed with DN and 10 healthy individuals via untargeted metabolomics and Olink proteomics. Animal models were used to validate the characterized genes. Correlation analysis of major differentially abundant metabolites and differentially expressed proteins revealed that SIRT2 might be a key hub linking energy metabolism and innate immune responses. KEGG enrichment analysis showed that HIF-1 signaling pathway and renal cell carcinoma pathway were co-enriched pathways in energy metabolism and inflammatory response. VEGFA plays a vital role in these two signaling pathways. The ability of SIRT2 to regulate VEGFA expression has been demonstrated. In vivo experiments revealed that SIRT2, VEGFA, and HIF-1α were highly expressed in the kidneys of mice with diabetic nephropathy. In conclusion, our study combines metabolomics and proteomics to provide valuable insights into the synergistic roles of metabolic disorders and inflammatory responses in DN. The data suggest that SIRT2 may be a key target affecting these processes.

Scientific ReportsVol. 15(1)
Shanxi Medical University (CN), Second Hospital of Shanxi Medical University (CN), Westmead Institute for Medical Research (AU)
Zero hunger
Openalex Percentile: Top 5%
Metabolomics and Mass Spectrometry Studies
4.84
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