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Quantitative Analysis of a Novel Metabolite Panel to Estimate GFR (Panel eGFR) in Serum and Plasma Using LC-MS/MS.

Publication ,  Journal Article
Fino, N; Inker, LA; Shiba, S; Adingwupu, OM; Coresh, J; Haaland, B; Shlipak, MG; Levey, A; Seegmiller, JC; HIV Study Group ...
Published in: Clin Chem
December 2, 2025

BACKGROUND: Estimated glomerular filtration rate (eGFR) using creatinine (eGFRcr), cystatin C (eGFRcys), or both (eGFRcr-cys) is not sufficiently accurate in many settings, often due to non-glomerular filtration rate (GFR) determinants of the filtration markers. In principle, using a panel of endogenous markers (panel eGFR) could reduce the impact of non-GFR determinants of each marker, improving the accuracy of eGFR. Using global untargeted metabolomics, we previously identified 33 endogenous metabolites that correlate highly with measured GFR. METHODS: A LC-MS/MS measurement procedure was developed to quantify 11 endogenous metabolites from serum and plasma. The assay was evaluated in 99 participants with measured GFR (mGFR) from 2 research studies, including a subgroup of 51 participants with large errors in eGFRcr and large discordance between eGFRcr and eGFRcys. Performance of eGFR models using single metabolites and all metabolites (panel eGFR-11) compared to mGFR was assessed by leave-one-out cross-validated root mean square error (RMSE). RESULTS: Assay CV for single metabolites ranged from 1.1% to 6.3% over the course of 21 days. RMSE of eGFR in single metabolite models ranged from 0.184 to 0.324. RMSEs for panel eGFR-11, eGFRcr, and eGFRcr-cys were 0.195, 0.251, and 0.201, respectively, and 0.155, 0.290, and 0.203, respectively, in the subgroup with large errors and large discordance. CONCLUSIONS: A precise metabolite (LC-MS/MS) measurement procedure shows promise for more accurate GFR estimation when eGFRcr is unreliable, offering a potential new confirmatory test for GFR evaluation.

Duke Scholars

Published In

Clin Chem

DOI

EISSN

1530-8561

Publication Date

December 2, 2025

Volume

71

Issue

12

Start / End Page

1269 / 1280

Location

England

Related Subject Headings

  • Tandem Mass Spectrometry
  • Middle Aged
  • Metabolomics
  • Male
  • Liquid Chromatography-Mass Spectrometry
  • Humans
  • Glomerular Filtration Rate
  • General Clinical Medicine
  • Female
  • Cystatin C
 

Citation

APA
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MLA
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Fino, N., Inker, L. A., Shiba, S., Adingwupu, O. M., Coresh, J., Haaland, B., … HIV Study Group. (2025). Quantitative Analysis of a Novel Metabolite Panel to Estimate GFR (Panel eGFR) in Serum and Plasma Using LC-MS/MS. Clin Chem, 71(12), 1269–1280. https://doi.org/10.1093/clinchem/hvaf110
Fino, Nora, Lesley A. Inker, Seiei Shiba, Ogechi M. Adingwupu, Josef Coresh, Ben Haaland, Michael G. Shlipak, et al. “Quantitative Analysis of a Novel Metabolite Panel to Estimate GFR (Panel eGFR) in Serum and Plasma Using LC-MS/MS.Clin Chem 71, no. 12 (December 2, 2025): 1269–80. https://doi.org/10.1093/clinchem/hvaf110.
Fino N, Inker LA, Shiba S, Adingwupu OM, Coresh J, Haaland B, et al. Quantitative Analysis of a Novel Metabolite Panel to Estimate GFR (Panel eGFR) in Serum and Plasma Using LC-MS/MS. Clin Chem. 2025 Dec 2;71(12):1269–80.
Fino, Nora, et al. “Quantitative Analysis of a Novel Metabolite Panel to Estimate GFR (Panel eGFR) in Serum and Plasma Using LC-MS/MS.Clin Chem, vol. 71, no. 12, Dec. 2025, pp. 1269–80. Pubmed, doi:10.1093/clinchem/hvaf110.
Fino N, Inker LA, Shiba S, Adingwupu OM, Coresh J, Haaland B, Shlipak MG, Levey A, Seegmiller JC, Multi-Ethnic Study of Atherosclerosis (MESA-Kidney) Study Group, HIV Study Group. Quantitative Analysis of a Novel Metabolite Panel to Estimate GFR (Panel eGFR) in Serum and Plasma Using LC-MS/MS. Clin Chem. 2025 Dec 2;71(12):1269–1280.

Published In

Clin Chem

DOI

EISSN

1530-8561

Publication Date

December 2, 2025

Volume

71

Issue

12

Start / End Page

1269 / 1280

Location

England

Related Subject Headings

  • Tandem Mass Spectrometry
  • Middle Aged
  • Metabolomics
  • Male
  • Liquid Chromatography-Mass Spectrometry
  • Humans
  • Glomerular Filtration Rate
  • General Clinical Medicine
  • Female
  • Cystatin C