Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg.
Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg; Department of Medicine IV-Nephrology and Primary Care, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg.
Am J Kidney Dis. 2021 Nov;78(5):669-677.e1. doi: 10.1053/j.ajkd.2021.01.018. Epub 2021 Apr 9.
RATIONALE & OBJECTIVE: Mechanisms underlying the variable course of disease progression in patients with chronic kidney disease (CKD) are incompletely understood. The aim of this study was to identify novel biomarkers of adverse kidney outcomes and overall mortality, which may offer insights into pathophysiologic mechanisms.
Metabolome-wide association study.
SETTING & PARTICIPANTS: 5,087 patients with CKD enrolled in the observational German Chronic Kidney Disease Study.
Measurements of 1,487 metabolites in urine.
End points of interest were time to kidney failure (KF), a combined end point of KF and acute kidney injury (KF+AKI), and overall mortality.
Statistical analysis was based on a discovery-replication design (ratio 2:1) and multivariable-adjusted Cox regression models.
After a median follow-up of 4 years, 362 patients died, 241 experienced KF, and 382 experienced KF+AKI. Overall, we identified 55 urine metabolites whose levels were significantly associated with adverse kidney outcomes and/or mortality. Higher levels of C-glycosyltryptophan were consistently associated with all 3 main end points (hazard ratios of 1.43 [95% CI, 1.27-1.61] for KF, 1.40 [95% CI, 1.27-1.55] for KF+AKI, and 1.47 [95% CI, 1.33-1.63] for death). Metabolites belonging to the phosphatidylcholine pathway showed significant enrichment. Members of this pathway contributed to the improvement of the prediction performance for KF observed when multiple metabolites were added to the well-established Kidney Failure Risk Equation.
Findings among patients of European ancestry with CKD may not be generalizable to the general population.
Our comprehensive screen of the association between urine metabolite levels and adverse kidney outcomes and mortality identifies metabolites that predict KF and represents a valuable resource for future studies of biomarkers of CKD progression.
慢性肾脏病(CKD)患者疾病进展的变化过程的机制尚不完全清楚。本研究旨在确定不良肾脏结局和总死亡率的新生物标志物,这些标志物可能为病理生理机制提供深入的见解。
代谢组学全基因组关联研究。
纳入了观察性德国慢性肾脏病研究中的 5087 例 CKD 患者。
尿液中 1487 种代谢物的测量。
关注的终点是肾功能衰竭(KF)的时间,KF 和急性肾损伤(KF+AKI)的联合终点以及总死亡率。
基于发现-复制设计(比例为 2:1)和多变量调整 Cox 回归模型进行统计分析。
中位随访 4 年后,362 例患者死亡,241 例发生 KF,382 例发生 KF+AKI。总的来说,我们确定了 55 种尿液代谢物,其水平与不良肾脏结局和/或死亡率显著相关。较高水平的 C-糖基色氨酸与所有 3 个主要终点均呈一致相关(KF 的危险比为 1.43 [95%CI,1.27-1.61],KF+AKI 的危险比为 1.40 [95%CI,1.27-1.55],死亡的危险比为 1.47 [95%CI,1.33-1.63])。属于磷脂酰胆碱途径的代谢物显示出明显的富集。该途径的成员有助于提高将多个代谢物添加到既定的肾功能衰竭风险方程中时对 KF 观察到的预测性能。
在欧洲血统的 CKD 患者中发现的结果可能不适用于一般人群。
我们对尿液代谢物水平与不良肾脏结局和死亡率之间的关联进行了全面筛查,确定了预测 KF 的代谢物,并为未来 CKD 进展的生物标志物研究提供了有价值的资源。