Ting-Ting Geng, Jun-Xiang Chen, Qi Lu, Pei-Lu Wang, Peng-Fei Xia, Kai Zhu, Yue Li, Kun-Quan Guo, Kun Yang, Yun-Fei Liao, Yan-Feng Zhou, Gang Liu, An Pan
RATIONALE & OBJECTIVE: Chronic kidney disease (CKD) leads to lipid and metabolic abnormalities, but a comprehensive investigation of lipids, lipoprotein particles, and circulating metabolites associated with the risk of CKD is lacking. We examined the associations of nuclear magnetic resonance (NMR)-based metabolomics data with CKD risk in the UK Biobank study. STUDY DESIGN: Observational cohort study. SETTING: & Participants: A total of 91,532 participants in the UK Biobank Study without CKD and not receiving lipid-lowering therapy...
September 5, 2023: American Journal of Kidney Diseases