Abstract

Blood metabolites of the tryptophan pathway were found to be associated with kidney function and disease in observational studies. In order to evaluate causal relationship and direction, we designed a study using a bidirectional Mendelian randomization approach. The analyses were based on published summary statistics with study sizes ranging from 1,960 to 133,413. After correction for multiple testing, results provided no evidence of an effect of metabolites of the tryptophan pathway on estimated glomerular filtration rate (eGFR). Conversely, lower eGFR was related to higher levels of four metabolites: C-glycosyltryptophan (effect estimate = − 0.16, 95% confidence interval [CI] (− 0.22; − 0.1); p = 9.2e−08), kynurenine (effect estimate = − 0.18, 95% CI (− 0.25; − 0.11); p = 1.1e−06), 3-indoxyl sulfate (effect estimate = − 0.25, 95% CI (− 0.4; − 0.11); p = 6.3e−04) and indole-3-lactate (effect estimate = − 0.26, 95% CI (− 0.38; − 0.13); p = 5.4e−05). Our study supports that lower eGFR causes higher blood metabolite levels of the tryptophan pathway including kynurenine, C-glycosyltryptophan, 3-indoxyl sulfate, and indole-3-lactate. These findings aid the notion that metabolites of the tryptophan pathway are a consequence rather than a cause of reduced eGFR. Further research is needed to specifically examine relationships with respect to chronic kidney disease (CKD) progression among patients with existing CKD.

Details

Title
The relationship between blood metabolites of the tryptophan pathway and kidney function: a bidirectional Mendelian randomization analysis
Author
Cheng, Yurong 1 ; Li, Yong 2 ; Benkowitz Paula 2 ; Lamina Claudia 3 ; Köttgen, Anna 2 ; Sekula, Peggy 2 

 Faculty of Medicine and Medical Center - University of Freiburg, Department of Biometry, Epidemiology and Medical Bioinformatics, Institute of Genetic Epidemiology, Freiburg, Germany (GRID:grid.5963.9); University of Freiburg, Faculty of Biology, Freiburg, Germany (GRID:grid.5963.9) 
 Faculty of Medicine and Medical Center - University of Freiburg, Department of Biometry, Epidemiology and Medical Bioinformatics, Institute of Genetic Epidemiology, Freiburg, Germany (GRID:grid.5963.9) 
 Medical University of Innsbruck, Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Innsbruck, Austria (GRID:grid.5361.1) (ISNI:0000 0000 8853 2677) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2428284087
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.