Evidence map›Paper›PMID 26449609›Full record

ArticleJournal of the American Society of Nephrology : JASN2016

A Metabolome-Wide Association Study of Kidney Function and Disease in the General Population.

Peggy Sekula, Oemer-Necmi Goek, Lydia Quaye, Clara Barrios, Andrew S Levey, Werner Römisch-Margl, Cristina Menni, Idil Yet, Christian Gieger, Lesley A Inker and 14 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Society of Nephrology : JASN, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 130 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
130citing papers in PubMed, 2 pooled it
10.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

130 citing papers in PubMed, 2 syntheses or guidelines pooled it, 200 citations in OpenAlex.

  1. Pooled it
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  13. Vegetarian Dietary Patterns and Diet-Related Metabolites Are Associated With Kidney Function in the Adventist Health Study-2 Cohort.Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation · 2026
    Article
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  16. Dogs and humans share biomarkers of mortality.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  17. Observational
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70 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors at 10 institutions in 4 countries.

Peggy SekulaDivision of Nephrology and Center for Medical Biometry and Medical Informatics, Medical Center-University of Freiburg, Freiburg, Germany;
Oemer-Necmi GoekDivision of Nephrology and.
Lydia QuayeDepartment of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom;
Clara BarriosDepartment of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom; Department of Nephrology, Hospital del Mar, Institut Mar d'Investigacions Mediques, Barcelona, Spain;
Andrew S LeveyDivision of Nephrology, Tufts Medical Center, Boston, Massachusetts;
Werner Römisch-MarglInstitutes of Bioinformatics and Systems Biology.
Cristina MenniDepartment of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom;
Idil YetDepartment of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom;
Christian GiegerResearch Unit of Molecular Epidemiology and.
Lesley A InkerDivision of Nephrology, Tufts Medical Center, Boston, Massachusetts;
Jerzy AdamskiExperimental Genetics, Genome Analysis Center, German Center for Diabetes Research, Neuherberg, Germany; Institute of Experimental Genetics, Technical University of Munich, Freising-Weihenstephan, Germany;
Wolfram GronwaldInstitute of Functional Genomics, University of Regensburg, Regensburg, Germany;
Thomas IlligResearch Unit of Molecular Epidemiology and Hannover Unified Biobank and Institute for Human Genetics, Hannover Medical School, Hannover, Germany;
Katja DettmerInstitute of Functional Genomics, University of Regensburg, Regensburg, Germany;
Jan KrumsiekComputational Biology, and.
Peter J OefnerInstitute of Functional Genomics, University of Regensburg, Regensburg, Germany;
Ana M ValdesDepartment of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom; Academic Rheumatology, University of Nottingham, Nottingham, United Kingdom;
Christa MeisingerEpidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany;
Josef CoreshJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland;
Tim D SpectorDepartment of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom;
Robert P MohneyMetabolon Inc., Durham, North Carolina; and.
Karsten SuhreInstitutes of Bioinformatics and Systems Biology, Department of Physiology and Biophysics, Weill Cornell Medical College-Qatar, Doha, Qatar.
Gabi KastenmüllerDepartment of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom; Institutes of Bioinformatics and Systems Biology, German Center for Diabetes Research, Neuherberg, Germany; anna.koettgen@uniklinik-freiburg.de g.kastenmueller@helmholtz-muenchen.de.
Anna KöttgenDivision of Nephrology and anna.koettgen@uniklinik-freiburg.de g.kastenmueller@helmholtz-muenchen.de.
King's College London · GBPediatric Nephrology of Alabama · USTufts Medical Center · USUniversity of Regensburg · DEUniversity Medical Center Freiburg · DEUniversity of Freiburg · DEHelmholtz Zentrum München · DEInstitute of Bioinformatics and Systems Biology · DEMedizinische Hochschule Hannover · DEUniversity of Nottingham · GB

Funding

Estimating GFR from a Panel of Endogenous Filtration Markers (Panel eGFR)R01DK097020 · NIDDK · TUFTS MEDICAL CENTER · PI LEVEY, ANDREW S · 2012 to 2014
$1.9M
Department of HealthNIDDK NIH HHS R01 DK097020NIDDK NIH HHS R01-DK097020Wellcome Trust
6 · The paper itself

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.

Indexed as

MetabolomeCross-Sectional StudiesFemaleGenome-Wide Association StudyGlomerular Filtration RateHumansMaleMiddle AgedRenal Insufficiency, ChronicCKDepidemiologyGFRmetabolismoutcomes

Identifiers

PMID26449609
PMCPMC4814172
OpenAlexW2180331025

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.