Cited by 203Metabolomics and Mass Spectrometry StudiesChronic Kidney Disease and DiabetesAcute Kidney Injury Research

A metabolome-wide association study of kidney function and disease in the general population

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Sekula, Peggy, Goek, Oemer-Necmi, Quaye, Lydia, Barrios, Clara, Levey, Andrew S., Römisch-Margl, Werner, Menni, Cristina, Yet, Idil +16 more·2016·Journal of the American Society of Nephrology

Abstract

Small molecules are extensively metabolized and cleared by the kidney. Changes in serum metabolite concentrations may result from impaired kidney function and can be used to estimate filtration (e.g., the established marker creatinine) or may precede and potentially contribute to CKD development. Here, we applied a nontargeted metabolomics approach using gas and liquid chromatography coupled to mass spectrometry to quantify 493 small molecules in human serum. The associations of these molecules with GFR estimated on the basis of creatinine (eGFRcr) and cystatin C levels were assessed in ≤1735 participants in the KORA F4 study, followed by replication in 1164 individuals in the TwinsUK registry. After correction for multiple testing, 54 replicated metabolites significantly associated with eGFRcr, and six of these showed pairwise correlation (r≥0.50) with established kidney function measures: C-mannosyltryptophan, pseudouridine, N-acetylalanine, erythronate, myo-inositol, and N-acetylcarnosine. Higher C-mannosyltryptophan, pseudouridine, and O-sulfo-L-tyrosine concentrations associated with incident CKD (eGFRcr <60 ml/min per 1.73 m(2)) in the KORA F4 study. In contrast with serum creatinine, C-mannosyltryptophan and pseudouridine concentrations showed little dependence on sex. Furthermore, correlation with measured GFR in 200 participants in the AASK study was 0.78 for both C-mannosyltryptophan and pseudouridine concentration, and highly significant associations of both metabolites with incident ESRD disappeared upon adjustment for measured GFR. Thus, these molecules may be alternative or complementary markers of kidney function. In conclusion, our study provides a comprehensive list of kidney function-associated metabolites and highlights potential novel filtration markers that may help to improve the estimation of GFR.

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Authors
Sekula, P., Goek, O.-N., Quaye, L., Barrios, C., Levey, A. S., Römisch-Margl, W., Menni, C., Yet, I., Gieger, C., Inker, L. A., Adamski, J., Gronwald, W., Illig, T., Dettmer, K., Krumsiek, J., Oefner, P. J., Valdes, A. M., Meisinger, C., Coresh, J., Spector, T. D., Mohney, R. P., Suhre, K., Kastenmüller, G., & Köttgen, A.
Affiliations
  • University of Freiburg (DE)
  • King's College London (GB)
  • Tufts Medical Center (US)
  • Medizinische Hochschule Hannover (DE)
  • University of Nottingham (GB)
  • Helmholtz Munich (DE)
  • Institute of Bioinformatics and Systems Biology (DE)
Corresponding author
  • Sekula, Peggy
  • Goek, Oemer-Necmi
  • Gieger, Christian
  • Illig, Thomas
  • Suhre, Karsten
  • Köttgen, Anna
Venue
Journal of the American Society of Nephrology
Published
2016-04
Volume
27
Issue
4
Pages
1175-1188
ISSN
1046-6673 (ISSN-L)
OpenAlex
W2180331025
Cited by
203
References
61
Citations by year
2026: 11 · 2025: 12 · 2024: 19 · 2023: 16 · 2022: 18 · 2021: 28 · 2020: 21 · 2019: 25 · 2018: 24 · 2017: 20 · 2016: 7 · 2014: 1
FWCI
7.34
Type
journal article
Language
en
Open access
Locations
  • Journal of the American Society of Nephrology (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • University of Regensburg Publication Server (University of Regensburg) (acceptedVersion)
  • Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, other-oa)
  • Repository@Nottingham (University of Nottingham) (submittedVersion, cc-by)
  • Research Portal (King's College London) (submittedVersion)
  • Site cant be reached (submittedVersion)
  • PuSH - Publication Server of Helmholtz Zentrum München (submittedVersion)
  • OPUS (Augsburg University) (submittedVersion)
Funders
  • Wellcome Trust
  • National Institute for Health and Care Research (NF-SI-0514-10027)
  • National Institute of Diabetes and Digestive and Kidney Diseases (R01DK097020)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
  • Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
  • Health Sciences › Medicine › Nephrology › Acute Kidney Injury Research
Keywords
renal function, chronic kidney disease, estimated glomerular filtration rate, cystatin C, serum metabolites, untargeted metabolomics, pseudouridine, end-stage renal disease, creatinine, TwinsUK
MeSH terms
Cross-Sectional Studies, Female, Glomerular Filtration Rate, Humans, Male, Middle Aged, Renal Insufficiency, Chronic, Genome-Wide Association Study, Metabolome

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