Untargeted and spatial-resolved metabolomics characterize serum and tissue-specific metabolic reprogramming in acute kidney injury

• DOI: 10.1016/j.heliyon.2023.e21171
• Publication Date: 2023-11-01T22:09:26Z
• Authors: Bei Xu; Wanyi Li; Yamei Zhang; Yan Chen; Jiafu Feng; Xiangrong Song
• Keywords: Metabolome

Acute kidney injury (AKI) is one of the most common clinical emergencies characterized by rapid progression, difficulty in early diagnosis, and high mortality. Currently, there are no effective AKI diagnostic methods treatments. Therefore, identifying new mechanisms have become urgent for development targets diagnosis treatment current setting.In this study, systematic analysis comparison serum metabolic profiles patients, chronic disease (CKD) healthy subjects were performed using untargeted metabolomics. Moreover, first spatial metabolomic tissues an mouse model MALDI-TOF MS technology was conducted. Differentially expressed metabolites identified a comprehensive, publicly available database. The data obtained evaluated principal component analysis, (orthogonal) partial least squares discriminant pathway to explore unique profile as well characterize distribution differential kidneys mice.Significant changes metabolite levels amino acids, carnitine, lipids observed CKD groups versus population, suggesting that may lead abnormalities various pathways, such fatty lipids. significant difference between found time these indexes including acid, lipid levels. Additionally, metabolomics results revealed organic acid more likely significantly altered renal cortex, while both differentially distributed cortex medulla group.Abnormalities metabolism patients with diseases, CKD, closely associated physiological dysfunction injury. Metabolic differences compared time, showing oxidative inhibition severe AKI. Furthermore, has reprogramming tissue heterogeneity mice model. Our study provides valuable information molecular pathological features tissues.