PuSH - Publication Server of Helmholtz Zentrum München

From discovery to translation: Characterization of c-mannosyltryptophan and pseudouridine as markers of kidney function.

Sci. Rep. 7:17400 (2017)
Publishers Version Research data DOI
Open Access Gold
Creative Commons Lizenzvertrag
as soon as is submitted to ZB.
Using a non-targeted metabolomics platform, we recently identified C-mannosyltryptophan and pseudouridine as non-traditional kidney function markers. The aims of this study were to obtain absolute concentrations of both metabolites in blood and urine from individuals with and without CKD to provide reference ranges and to assess their fractional excretions (FE), and to assess the agreement with their non-targeted counterparts. In individuals without/with CKD, mean plasma and urine concentrations for C-mannosyltryptophan were 0.26/0.72 μmol/L and 3.39/4.30 μmol/mmol creatinine, respectively. The respective concentrations for pseudouridine were 2.89/5.67 μmol/L and 39.7/33.9 μmol/mmol creatinine. Median (25 th , 75 th percentiles) FEs were 70.8% (65.6%, 77.8%) for C-mannosyltryptophan and 76.0% (68.6%, 82.4%) for pseudouridine, indicating partial net reabsorption. Association analyses validated reported associations between single metabolites and eGFR. Targeted measurements of both metabolites agreed well with the non-targeted measurements, especially in urine. Agreement for composite nephrological measures FE and urinary metabolite-to-creatinine ratio was lower, but could be improved by replacing non-targeted creatinine measurements with a standard clinical creatinine test. In summary, targeted quantification and additional characterization in relevant populations are necessary steps in the translation of non-traditional biomarkers in nephrology from non-targeted discovery to clinical application.
Additional Metrics?
Edit extra informations Login
Publication type Article: Journal article
Document type Scientific Article
Keywords Glomerular-filtration-rate; General-population; Renal-function; Wide Association; Disease Gckd; Metabolomics; Serum; Prediction; Burden; Cohort
Reviewing status