ArticleNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2019
Metabolomic profiling to improve glomerular filtration rate estimation: a proof-of-concept study.
Article in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 50 citations in OpenAlex.
- A Reporting Guideline for Observational Studies in Metabolomic Epidemiology: Explanation and Elaboration of the Strobe-MetEpi Checklist.Research square · 2026Article
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- Quantitative Analysis of a Novel Metabolite Panel to Estimate GFR (Panel eGFR) in Serum and Plasma Using LC-MS/MS.Clinical chemistry · 2025Article
- Clinical Algorithms and the Legacy of Race-Based Correction: Historical Errors, Contemporary Revisions and Equity-Oriented Methodologies for Epidemiologists.Clinical epidemiology · 2025Review
- Development and Validation of an Accurate Creatinine-Based Equation to Estimate Glomerular Filtration Rate for the Adult Indian Population: Design and Methods.Indian journal of nephrology · 2024Article
- Serum and Urine Metabolites and Kidney Function.Journal of the American Society of Nephrology : JASN · 2024Article
- Consistency of metabolite associations with measured glomerular filtration rate in children and adults.Clinical kidney journal · 2024Article
- Evaluation of novel candidate filtration markers from a global metabolomic discovery for glomerular filtration rate estimation.Kidney international · 2024Article
- Panel estimated Glomerular Filtration Rate (GFR): Statistical considerations for maximizing accuracy in diverse clinical populations.PloS one · 2024Article
- Metabolome-wide Mendelian randomization reveals causal effects of betaine and N-acetylornithine on impairment of renal function.Frontiers in nutrition · 2024Article
- Multitargeted Internal Calibration for the Quantification of Chronic Kidney Disease-Related Endogenous Metabolites Using Liquid Chromatography-Mass Spectrometry.Analytical chemistry · 2023Article
- Estimating kidney function in patients with cancer: A narrative review.Acta physiologica (Oxford, England) · 2023Review
- A Metabolomics study of metabolites associated with the glomerular filtration rate.BMC nephrology · 2023Article
- Article
- Using Machine Learning to Identify Metabolomic Signatures of Pediatric Chronic Kidney Disease Etiology.Journal of the American Society of Nephrology : JASN · 2022Article
- Identification of Metabolite Markers Associated with Kidney Function.Journal of immunology research · 2022Article
- Estimating Glomerular Filtration Rate from Serum Myo-Inositol, Valine, Creatinine and Cystatin C.Diagnostics (Basel, Switzerland) · 2021Article
- Measured Glomerular Filtration Rate: The Query for a Workable Golden Standard Technique.Journal of personalized medicine · 2021Review
- Chronic Kidney Disease Cohort Studies: A Guide to Metabolome Analyses.Metabolites · 2021Review
- A two-stage neural network prediction of chronic kidney disease.IET systems biology · 2021Article
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Authors and funding
12 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundEstimation of glomerular filtration rate (GFR) using estimated glomerular filtration rate creatinine (eGFRcr) is central to clinical practice but has limitations. We tested the hypothesis that serum metabolomic profiling can identify novel markers that in combination can provide more accurate GFR estimates.
methodsWe performed a cross-sectional study of 200 African American Study of Kidney Disease and Hypertension (AASK) and 265 Multi-Ethnic Study of Atherosclerosis (MESA) participants with measured GFR (mGFR). Untargeted gas chromatography/dual mass spectrometry- and liquid chromatography/dual mass spectrometry-based quantification was followed by the development of targeted assays for 15 metabolites. On the log scale, GFR was estimated from single- and multiple-metabolite panels and compared with eGFR using the Chronic Kidney Disease Epidemiology equations with creatinine and/or cystatin C using established metrics, including the proportion of errors >30% of mGFR (1-P30), before and after bias correction.
resultsOf untargeted metabolites in the AASK and MESA, 283 of 780 (36%) and 387 of 1447 (27%), respectively, were significantly correlated (P ≤ 0.001) with mGFR. A targeted metabolite panel eGFR developed in the AASK and validated in the MESA was more accurate (1-P30 3.7 and 1.9%, respectively) than eGFRcr [11.2 and 18.5%, respectively (P < 0.001 for both)] and estimating GFR using cystatin C (eGFRcys) [10.6% (P = 0.02) and 9.1% (P < 0.05), respectively] but was not consistently better than eGFR using both creatinine and cystatin C [3.7% (P > 0.05) and 9.1% (P < 0.05), respectively]. A panel excluding creatinine and demographics still performed well [1-P30 6.4% (P = 0.11) and 3.4% (P < 0.001) in the AASK and MESA] versus eGFRcr.
conclusionsMultimetabolite panels can enable accurate GFR estimation. Metabolomic equations, preferably excluding creatinine and demographic characteristics, should be tested for robustness and generalizability as a potential confirmatory test when eGFRcr is unreliable.
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