1. Multidimensional Landscape of SA-AKI Revealed by Integrated Proteomics and Metabolomics Analysis.
- Author
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Xu, Jiatong, Li, Jiaying, Li, Yan, Shi, Xiaoxiao, Zhu, Huadong, and Chen, Limeng
- Subjects
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SEPSIS , *PROTEOMICS , *CHRONIC kidney failure , *METABOLOMICS , *ACUTE kidney failure , *GENE regulatory networks - Abstract
Sepsis-associated acute kidney injury (SA-AKI) is a severe and life-threatening condition with high morbidity and mortality among emergency patients, and it poses a significant risk of chronic renal failure. Clinical treatments for SA-AKI remain reactive and non-specific, lacking effective diagnostic biomarkers or treatment targets. In this study, we established an SA-AKI mouse model using lipopolysaccharide (LPS) and performed proteomics and metabolomics analyses. A variety of bioinformatic analyses, including gene set enrichment analysis (GSEA), weighted gene co-expression network analysis (WGCNA), protein and protein interactions (PPI), and MetaboAnalyst analysis, were conducted to investigate the key molecules of SA-AKI. Integrated proteomics and metabolomics analysis revealed that sepsis led to impaired renal mitochondrial function and metabolic disorders. Immune-related pathways were found to be activated in kidneys upon septic infection. The catabolic products of polyamines accumulated in septic kidneys. Overall, our integrated analysis provides a multidimensional understanding of SA-AKI and identifies potential pathways for this condition. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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