Metabolite biomarkers of ckd progression in children

Background and objectivesMetabolomics facilitates the discovery of biomarkers and potential therapeutic targets for CKD progression. Design, setting, participants, & measurementsWe evaluated an untargeted metabolomics quantification of stored plasma samples from645 Chronic Kidney Disease in Children (CKiD) participants.Metaboliteswere standardized and logarithmically transformed. Cox proportional hazards regression examined the association between 825 nondrug metabolites and progression to the composite outcome of KRT or 50% reduction of eGFR, adjusting for age, sex, race, bodymass index,hypertension, glomerular versus nonglomerulardiagnosis,proteinuria, andbaseline eGFR. Stratified analyses were performed within subgroups of glomerular/nonglomerular diagnosis and baseline eGFR. Results Baseline characteristicswere 391 (61%)male;median age 12 years;median eGFR 54ml/min per 1.73m2; 448 (69%) nonglomerular diagnosis. Over a median follow-up of 4.8 years, 209 (32%) participants developed the composite outcome. Unique association signals were identified in subgroups of baseline eGFR. Among participants with baseline eGFR $60 ml/min per 1.73 m2, two-fold higher levels of seven metabolites were significantly associated with higher hazards of KRT/halving of eGFR events: Three involved in purine and pyrimidine metabolism (N6-carbamoylthreonyladenosine, hazard ratio, 16; 95% confidence interval, 4 to 60; 5,6- dihydrouridine, hazard ratio, 17; 95% confidence interval, 5 to 55; pseudouridine, hazard ratio, 39; 95% confidence interval, 8 to 200); two amino acids, C-glycosyltryptophan, hazard ratio, 24; 95% confidence interval 6 to 95 and lanthionine, hazard ratio, 3; 95%confidence interval, 2 to 5; the tricarboxylic acid cycle intermediate 2-methylcitrate/ homocitrate, hazard ratio, 4; 95%confidence interval, 2 to 7; and gulonate, hazard ratio, 10; 95%confidence interval, 3 to Among those with baseline eGFR,60 ml/min per 1.73 m2, a higher level of tetrahydrocortisol sulfate was associated with lower risk of progression (hazard ratio, 0.8; 95% confidence interval, 0.7 to 0.9). Conclusions Untargeted plasma metabolomic profiling facilitated discovery of novel metabolite associations with CKD progression in children that were independent of established clinical predictors and highlight the role of select biologic pathways.