The systematic analysis of metabolites (e.g., sugars, amino acids, organic acids, lipids, etc.) in biologic specimens is referred to as metabolomics or metabolite profiling. Downstream of transcriptional and translational processes, metabolite profiles can provide proximal reports of the body's metabolic state and are also influenced by environmental factors such as diet, medications, and the gut microbiome (1). Increasing interest has been directed toward the metabolomic characterization of kidney disease because of its association with various metabolic disorders, because of the broad effect that renal dysfunction has on circulating metabolites, and because circulating metabolites may themselves participate in pathways relevant to disease pathogenesis and progression.The value of metabolite profiling in clinical research can be enhanced when applied to large, richly phenotyped cohorts. In addition to increasing statistical power, this approach permits assessment of the association of baseline metabolite levels with longitudinal renal outcomes. For example, Goek et al. examined longitudinal associations of baseline levels of 140 metabolites with change in eGFR and incident CKD over 7 years in 1017 participants of the Cooperative Health Research in the Region of Augsburg S4/F4 (KORA) study (2). Similarly, Rhee et al. examined the longitudinal association of baseline levels of 217 metabolites with incident CKD over 8 years in 1434 participants of the Framingham Heart Study (FHS) (3). In both studies, participants were predominantly of European ancestry and all had an eGFR$60 ml/min per 1.73 m 2 at baseline. Incident CKD was defined as an eGFR,60 ml/min per 1.73 m 2 at follow-up, using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) and Modification of Diet in Renal Disease equations, respectively. A total of 106 individuals in the KORA study and 123 individuals in the FHS developed new-onset CKD. Interestingly, both studies identified markers of tryptophan metabolism as associated with the occurrence of CKD. In the KORA study, the strongest association was with the kynurenine/tryptophan ratio, with an odds ratio (OR) of 1.36 per SD (P50.003; 95% confidence interval [95% CI], 1.11 to 1.66; [2]) after adjusting for eGFR and other CKD risk factors. The FHS, which did not examine metabolite ratios, also highlighted that kynurenine (OR per 11 SD, 1.49; P,0.001; 95% CI, 1.22 to 1.83; [3]) as well as its downstream metabolite kynurenic acid (OR per 11 SD, 1.53; P,0.001; 95% CI, 1.25 to 1.88; [3]) were related to the risk of future CKD.These findings are of particular interest given animal and cellular studies that implicate tryptophan metabolism through the kynurenine pathway as a mediator of renal injury (4,5), and demonstrate functional roles to kynurenine and kynurenic acid in vascular tone and inflammation (6,7). Other risk markers identified in the FHS included citrulline (OR per 11.48 SD, 1.38; P,0.001; 95% CI, 1.19 to 1.83; [3]) and choline (OR per 11 SD, 1.46; P,0.001; 95% CI, 1.17 to 1.82; [3])....