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Risk factors for mortality in patients with kidney failure on hemodialysis identified by proteomic analysis of CRIC and PACE studies

3Citations signalées — pas une note de qualité
22Institutions déclarées
2Pays d’affiliation déclarés

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More than 50% of patients with kidney failure undergoing maintenance hemodialysis die within 5 years, a fate unexplained by traditional risk factors. To identify biological risk factors, we analyze 6287 circulating proteins and mortality in 893 participants undergoing hemodialysis in the Chronic Renal Insufficiency Cohort (CRIC) and Predictors of Arrhythmic and Cardiovascular Risk in End-Stage Renal Disease (PACE) studies. Proteins are measured shortly after (incident period) and one year after (prevalent period) dialysis initiation. In CRIC prevalent period, Sushi von Willebrand factor type A EGF and pentraxin domain-containing protein 1(SVEP1), R-spondin 4, tetranectin and 24 other proteins attain Bonferroni significance (p < 7 × 10-6). At false discovery rate<0.05, 184 proteins are significant in CRIC; 123/184 remain significant after adjustment for covariates including those linked to inflammation. Pathways related to insulin-like growth factor are prominent. In the pooled CRIC + PACE cohort, prevalent time period, AUC(95%CI) for a 3-protein model of 5-year mortality is 0.826 (0.742, 0.896), compared to 0.629 (0.528, 0.722) for a Cohort Clinical model (p < 0.001). Adding the 3 proteins (SVEP1, R-spondin 4 and tetranectin) to the Cohort Clinical model significantly improves the AUC (p < 0.001). These biomarkers should be validated in future studies and their roles as potential disease mediators elucidated. Patients with kidney failure undergoing maintenance hemodialysis have poor long-term survival. Here the authors use affinity-based proteomics to identify circulating risk factors for mortality in patients with kidney failure on hemodialysis.

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Contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Risk factors for mortality in patients with kidney failure on hemodialysis identified by proteomic analysis of CRIC and PACE studies
Date Crossref
27/11/2025
Éditeur
Springer Science and Business Media LLC
Type
journal-article

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Institutions déclarées

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Sujets associés

Dialysis and Renal Disease ManagementParathyroid Disorders and TreatmentsBiomarkers in Disease Mechanisms

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