Item type: | Article | ||||
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Journal or Publication Title: | Nephrology Dialysis Transplantation | ||||
Publisher: | Oxford Univ. Press | ||||
Volume: | 38 | ||||
Number of Issue or Book Chapter: | 1 | ||||
Page Range: | pp. 70-79 | ||||
Date: | 22 May 2022 | ||||
Institutions: | Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Funktionelle Genomik (Prof. Oefner) | ||||
Identification Number: |
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Keywords: | CKD, metabolites, nephron mass, uromodulin | ||||
Dewey Decimal Classification: | 600 Technology > 610 Medical sciences Medicine | ||||
Status: | Published | ||||
Refereed: | Yes, this version has been refereed | ||||
Created at the University of Regensburg: | Partially | ||||
Item ID: | 54266 |
Abstract
Background. The progression of chronic kidney disease (CKD), a global public health burden, is accompanied by a declining number of functional nephrons. Estimation of remaining nephron mass may improve assessment of CKD progression. Uromodulin has been suggested as a marker of tubularmass.We aimed to identify metabolites associated with uromodulin concentrations in urine and serumto ...
Abstract
Background.
The progression of chronic kidney disease (CKD), a global public health burden, is accompanied by a declining number of functional nephrons. Estimation of remaining nephron mass may improve assessment of CKD progression. Uromodulin has been suggested as a marker of tubularmass.We aimed to identify metabolites associated with uromodulin concentrations in urine and serumto characterize pathophysiologic alterations of metabolic pathways to generate new hypotheses regarding CKD pathophysiology.
Methods.
We measured urinary and serum uromodulin levels (uUMOD, sUMOD) and 607 urinary metabolites and performed cross-sectional analyses within the German Chronic Kidney Disease study (N = 4628), a prospective observational study. Urinary metabolites significantly associated with uUMOD and sUMODwere used to buildweightedmetabolite scores for urine (uMS) and serum uromodulin (sMS) and evaluated for time to adverse kidney events over 6.5 years.
Results.
Metabolites cross-sectionally associated with uromodulin included amino acids of the tryptophan metabolism, lipids and nucleotides. Higher levels of the sMS [hazard ratio (HR) = 0.73 (95% confidence interval 0.64; 0.82), P = 7.45e-07] and sUMOD [HR = 0.74 (95% confidence interval 0.63;0.87), P=2.32e-04]were associated with a lower risk of adverse kidney events over time, whereas uUMOD and uMS showed the same direction of association but were not significant.
Conclusions.
We identified urinary metabolites associated with urinary and serum uromodulin. The sUMOD and the sMS were associated with lower risk of adverse kidney events among CKD patients. Higher levels of sUMOD and sMS may reflect a higher number of functional nephrons and therefore a reduced risk of adverse kidney outcomes.
Metadata last modified: 20 Aug 2024 05:00