ArticleRenal failure2025
Integrated lipidomics and proteomics analysis in the cardiac surgery-associated acute kidney injury.
Article in Renal failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Lipids and Lipid Metabolites in the Diagnosis, Risk Prediction and Treatment of Chronic Kidney Disease and Acute Kidney Injury: A Narrative Review.Kidney & blood pressure research · 2026Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to identify potential serum biomarkers and explore associated signaling pathways involved in cardiac surgery-associated acute kidney injury (CSA-AKI) by integrating proteomic and lipidomic analyses. A total of 34 patients were enrolled, including 17 CSA-AKI patients and 17 controls. Untargeted lipidomic analysis was performed using liquid chromatography-mass spectrometry (LC-MS) approach. Proteomics analysis was conducted using data-independent acquisition-based LC-MS/MS detection. The integration of proteomics and lipidomics was evaluated using statistical and bioinformatics methods. The two groups had different serum protein and lipid profiles, which included 185 differentially expressed proteins and 65 differentially expressed lipids. The protein and lipid molecules were enriched in biologic pathway implicated in biosynthesis of arachidonic acid metabolism, gonadotropin-releasing hormone signaling pathway, leukocyte trans endothelial migration, and glycerophospholipid metabolism. Correlation analysis revealed that 4 proteins were positively correlated with 21 lipids, whereas 7 proteins were negatively correlated with the 21 lipids. These results suggested that significantly altered proteins and lipids may be involved in the early stage of CSA-AKI and could serve as potentially promising markers. The association between proteins and lipid molecules and the underlying signaling pathways may elucidate the pathogenesis of CSA-AKI.
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Registered trials
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