ArticleScientific reports2022
Plasma proteomic characterization of the development of acute kidney injury in early sepsis patients.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Predicting acute kidney injury in septic shock patients using inflammatory indices in the intensive care unit.World journal of critical care medicine · 2026Article
- Single-cell RNA transcriptomics divulged altered gene expressions in monocytes and HLA variations in decompensated cirrhosis patients with sepsis.Scientific reports · 2025Article
- New approaches to acute kidney injury.Clinical kidney journal · 2024Article
- Multidimensional Landscape of SA-AKI Revealed by Integrated Proteomics and Metabolomics Analysis.Biomolecules · 2023Article
- The Novel Compound SUL-138 Counteracts Endothelial Cell and Kidney Dysfunction in Sepsis by Preserving Mitochondrial Function.International journal of molecular sciences · 2023Article
- GYY4137-Derived Hydrogen Sulfide Donates Electrons to the Mitochondrial Electron Transport Chain via Sulfide: Quinone Oxidoreductase in Endothelial Cells.Antioxidants (Basel, Switzerland) · 2023Article
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
Acute kidney injury (AKI) develops frequently in the course of patients with sepsis and strongly associates with in-hospital mortality. However, diagnosing AKI involves a considerable lag-time because it depends on assessing an increase in serum creatinine, and offers no insight in the underlying pathophysiology. Consequently, identifying a set of proteins reflecting the development of AKI may improve earlier recognition of AKI and the understanding of its pathophysiology. A targeted plasma proteomic approach was performed in early sepsis patients with and without subsequent AKI development in a matched pair design (n = 19 each). Principal component analysis identified 53 proteins associated with development of AKI, which were further analysed using Enrichr gene ontology and pathway analysis. Nine differentially expressed proteins from the targeted proteomics were increased among patients who subsequently developed AKI and correlated with principal components, namely CALCA, CALR, CA12, CLEC1A, PTK7, KIM-1, NPPC, NUCB2 and PGF. We demonstrated the biological insight in the development of AKI in early sepsis compared to non-AKI sepsis.
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