© 2016 S. Karger AG, Basel. All rights reserved Metabolomics of Chronic Kidney Disease Progression: A Case-Control Analysis in the Chronic Renal Insufficiency.

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© 2016 S. Karger AG, Basel. All rights reserved Metabolomics of Chronic Kidney Disease Progression: A Case-Control Analysis in the Chronic Renal Insufficiency Cohort Study Rhee et al. Am J Nephrol 2016;43: (DOI: / ) Table 1. Baseline characteristics of the CRIC Study sample

© 2016 S. Karger AG, Basel. All rights reserved Metabolomics of Chronic Kidney Disease Progression: A Case-Control Analysis in the Chronic Renal Insufficiency Cohort Study Rhee et al. Am J Nephrol 2016;43: (DOI: / ) Fig 1. Examination of select metabolomics data in relation to CRIC phenotyping. a Correlation between LC-MS (y-axis) and spectrophotometric measures (x-axis) of creatinine, glucose and uric acid. b Mean medication levels in individuals with (n = 166) or without (n = 234) self-reported CVD at baseline. Bars represent SEM. * p < 0.05, # p < c Distribution of plasma cotinine levels in self-reported non-smokers and smokers; note y-axis is log scale.

© 2016 S. Karger AG, Basel. All rights reserved Metabolomics of Chronic Kidney Disease Progression: A Case-Control Analysis in the Chronic Renal Insufficiency Cohort Study Rhee et al. Am J Nephrol 2016;43: (DOI: / ) Table 2. Metabolites associated with rapid CKD progression in CRIC at p < 0.05 and their baseline association with eGFR

© 2016 S. Karger AG, Basel. All rights reserved Metabolomics of Chronic Kidney Disease Progression: A Case-Control Analysis in the Chronic Renal Insufficiency Cohort Study Rhee et al. Am J Nephrol 2016;43: (DOI: / ) Table 3. Renal arteriovenous gradients for metabolites nominally associated with rapid CKD progression in CRIC

© 2016 S. Karger AG, Basel. All rights reserved Metabolomics of Chronic Kidney Disease Progression: A Case-Control Analysis in the Chronic Renal Insufficiency Cohort Study Rhee et al. Am J Nephrol 2016;43: (DOI: / ) Fig 2. Renal venous to arterial creatinine ratio in 25 individuals. Each data point represents one individual, with eGFR (estimated by MDRD) plotted on the x-axis and creatinine V/A ratio plotted on the y-axis. The 2 triangles represent the 2 study subjects with ESRD.

© 2016 S. Karger AG, Basel. All rights reserved Metabolomics of Chronic Kidney Disease Progression: A Case-Control Analysis in the Chronic Renal Insufficiency Cohort Study Rhee et al. Am J Nephrol 2016;43: (DOI: / ) Table 4. Panel of metabolite markers of renal metabolic function and rapid CKD progression in CRIC