Nature communications · 2025
Risk factors for mortality in patients with kidney failure on hemodialysis identified by proteomic analysis of CRIC and PACE studies.
СтатьяПоддержка NIH: внешняя программаНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Ren Yue, Segal Mark R, Shafi Tariq, Pico Alexander R, Shin Min-Gyoung, Traglia Michela, Li Hongzhe, Rosas Sylvia E, Choles Hernan Rincon, Rao Panduranga S, Bhat Zeenat, Anderson Amanda H, Chen Jing, He Jiang, Sozio Steven, Jaar Bernard, Estrella Michelle M, Chen Wei, Chertow Glenn M, Parekh Rulan S, Ganz Peter, Dubin Ruth F, CRIC Study Investigators
Аннотация
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.