ArticleClinical kidney journal2024
Urine metabolite changes after cardiac surgery predict acute kidney injury.
Article in Clinical kidney journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- A four-gene signature for diagnosis of acute kidney injury following kidney transplantation.Renal failure · 2026Article
- Untargeted urinary metabolomics reveals metabolic alterations and severity biomarkers in cardiac surgery-associated acute kidney injury.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Untangling amino acid metabolism in renal diseases: mechanisms, dysregulation, and critical gaps.Clinical kidney journal · 2026Review
- Integrative multi-omics analysis identifies microbial dysbiosis and functional metabolic reprogramming in acute kidney injury.Frontiers in medicine · 2026Article
- Molecular insights and clinical implications of DNA methylation in sepsis-associated acute kidney injury: a narrative review.BMC nephrology · 2025Review
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Authors and funding
10 authors.
Funding
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Abstract
Background: Acute kidney injury (AKI) is a serious complication in patients undergoing cardiac surgery, with the underlying mechanism remaining elusive and a lack of specific biomarkers for cardiac surgery-associated AKI (CS-AKI). Methods: We performed an untargeted metabolomics analysis of urine samples procured from a cohort of patients with or without AKI at 6 and 24 h following cardiac surgery. Based on the differential urinary metabolites discovered, we further examined the expressions of the key metabolic enzymes that regulate these metabolites in kidney during AKI using a mouse model of ischemia-reperfusion injury (IRI) and in hypoxia-treated tubular epithelial cells (TECs). Results: The urine metabolomic profiles in AKI patients were significantly different from those in non-AKI patients, including upregulation of tryptophan metabolism- and aerobic glycolysis-related metabolites, such as l-tryptophan and d-glucose-1-phosphate, and downregulation of fatty acid oxidation (FAO) and tricarboxylic acid (TCA) cycle-related metabolites. Spearman correlation analysis showed that serum creatinine was positively correlated with urinary l-tryptophan and indole, which had high accuracy for predicting AKI. In animal experiments, we demonstrated that the expression of rate-limiting enzymes in glycolysis, such as hexokinase II (HK2), was significantly upregulated during renal IRI. However, the TCA cycle-related key enzyme citrate synthase was significantly downregulated after IRI. Conclusion: This study presents urinary metabolites related to CS-AKI, indicating the rewiring of the metabolism in kidney during AKI, identifying potential AKI biomarkers.
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