1. The urinary metabolome of chronic kidney disease
Nicolas Pallet, Eric Thervet, Philippe Beaune, Alexandre Karras, Gildas Bertho 
Kidney International 
Volume 85, Issue 5, Pages (May 2014)
DOI: /ki
Copyright © 2014 International Society of Nephrology Terms and Conditions

2. Figure 1
Proton nuclear magnetic resonance (1H-NMR)-based chronic kidney disease (CKD) urinary metabolome. (a) Orthogonal partial least square discriminant analysis. Discrimination between urine samples from 77 CKD patients with estimated glomerular filtration rate (eGFR) <60ml/min (stages 3–5, red dots) and 24 CKD patient urine samples with eGFR >60ml/min (stages 1 and 2, blue dots). (b) Variables of influence in the projection. (c) Orthogonal partial least square discriminant analysis. Discrimination between urine samples from 43 CKD patients with eGFR <30ml/min (stages 4 and 5, red dots) and 14 CKD patient urine samples with eGFR >90ml/min (stage 1, blue dots). (d) Variables of influence in the projection. The 16 variables (buckets), which contribute the most to the discrimination are identified and listed in the rank of influence. Among the most influential, citrate (Cit.) in red and threonine (Thr.) in green are present. Blue mark denotes unidentified variables.
Kidney International  , DOI: ( /ki )
Copyright © 2014 International Society of Nephrology Terms and Conditions