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Serum Myo-Inositol, Dimethyl Sulfone, and Valine in Combination with Creatinine Allow Accurate Assessment of Renal Insufficiency—A Proof of Concept

Evaluation of renal dysfunction includes estimation of glomerular filtration rate (eGFR) as the initial step and subsequent laboratory testing. We hypothesized that combined analysis of serum creatinine, myo-inositol, dimethyl sulfone, and valine would allow both assessment of renal dysfunction and...

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Autores principales: Ehrich, Jochen, Dubourg, Laurence, Hansson, Sverker, Pape, Lars, Steinle, Tobias, Fruth, Jana, Höckner, Sebastian, Schiffer, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913668/
https://www.ncbi.nlm.nih.gov/pubmed/33546466
http://dx.doi.org/10.3390/diagnostics11020234
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author Ehrich, Jochen
Dubourg, Laurence
Hansson, Sverker
Pape, Lars
Steinle, Tobias
Fruth, Jana
Höckner, Sebastian
Schiffer, Eric
author_facet Ehrich, Jochen
Dubourg, Laurence
Hansson, Sverker
Pape, Lars
Steinle, Tobias
Fruth, Jana
Höckner, Sebastian
Schiffer, Eric
author_sort Ehrich, Jochen
collection PubMed
description Evaluation of renal dysfunction includes estimation of glomerular filtration rate (eGFR) as the initial step and subsequent laboratory testing. We hypothesized that combined analysis of serum creatinine, myo-inositol, dimethyl sulfone, and valine would allow both assessment of renal dysfunction and precise GFR estimation. Bio-banked sera were analyzed using nuclear magnetic resonance spectroscopy (NMR). The metabolites were combined into a metabolite constellation (GFR(NMR)) using n = 95 training samples and tested in n = 189 independent samples. Tracer-measured GFR (mGFR) served as a reference. GFR(NMR) was compared to eGFR based on serum creatinine (eGFR(Crea) and eGFR(EKFC)), cystatin C (eGFR(Cys-C)), and their combination (eGFR(Crea-Cys-C)) when available. The renal biomarkers provided insights into individual renal and metabolic dysfunction profiles in selected mGFR-matched patients with otherwise homogenous clinical etiology. GFR(NMR) correlated better with mGFR (Pearson correlation coefficient r = 0.84 vs. 0.79 and 0.80). Overall percentages of eGFR values within 30% of mGFR for GFR(NMR) matched or exceeded those for eGFR(Crea) and eGFR(EKFC) (81% vs. 64% and 74%), eGFR(Cys-C) (81% vs. 72%), and eGFR(Crea-Cys-C) (81% vs. 81%). GFR(NMR) was independent of patients’ age and sex. The metabolite-based NMR approach combined metabolic characterization of renal dysfunction with precise GFR estimation in pediatric and adult patients in a single analytical step.
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spelling pubmed-79136682021-02-28 Serum Myo-Inositol, Dimethyl Sulfone, and Valine in Combination with Creatinine Allow Accurate Assessment of Renal Insufficiency—A Proof of Concept Ehrich, Jochen Dubourg, Laurence Hansson, Sverker Pape, Lars Steinle, Tobias Fruth, Jana Höckner, Sebastian Schiffer, Eric Diagnostics (Basel) Article Evaluation of renal dysfunction includes estimation of glomerular filtration rate (eGFR) as the initial step and subsequent laboratory testing. We hypothesized that combined analysis of serum creatinine, myo-inositol, dimethyl sulfone, and valine would allow both assessment of renal dysfunction and precise GFR estimation. Bio-banked sera were analyzed using nuclear magnetic resonance spectroscopy (NMR). The metabolites were combined into a metabolite constellation (GFR(NMR)) using n = 95 training samples and tested in n = 189 independent samples. Tracer-measured GFR (mGFR) served as a reference. GFR(NMR) was compared to eGFR based on serum creatinine (eGFR(Crea) and eGFR(EKFC)), cystatin C (eGFR(Cys-C)), and their combination (eGFR(Crea-Cys-C)) when available. The renal biomarkers provided insights into individual renal and metabolic dysfunction profiles in selected mGFR-matched patients with otherwise homogenous clinical etiology. GFR(NMR) correlated better with mGFR (Pearson correlation coefficient r = 0.84 vs. 0.79 and 0.80). Overall percentages of eGFR values within 30% of mGFR for GFR(NMR) matched or exceeded those for eGFR(Crea) and eGFR(EKFC) (81% vs. 64% and 74%), eGFR(Cys-C) (81% vs. 72%), and eGFR(Crea-Cys-C) (81% vs. 81%). GFR(NMR) was independent of patients’ age and sex. The metabolite-based NMR approach combined metabolic characterization of renal dysfunction with precise GFR estimation in pediatric and adult patients in a single analytical step. MDPI 2021-02-03 /pmc/articles/PMC7913668/ /pubmed/33546466 http://dx.doi.org/10.3390/diagnostics11020234 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ehrich, Jochen
Dubourg, Laurence
Hansson, Sverker
Pape, Lars
Steinle, Tobias
Fruth, Jana
Höckner, Sebastian
Schiffer, Eric
Serum Myo-Inositol, Dimethyl Sulfone, and Valine in Combination with Creatinine Allow Accurate Assessment of Renal Insufficiency—A Proof of Concept
title Serum Myo-Inositol, Dimethyl Sulfone, and Valine in Combination with Creatinine Allow Accurate Assessment of Renal Insufficiency—A Proof of Concept
title_full Serum Myo-Inositol, Dimethyl Sulfone, and Valine in Combination with Creatinine Allow Accurate Assessment of Renal Insufficiency—A Proof of Concept
title_fullStr Serum Myo-Inositol, Dimethyl Sulfone, and Valine in Combination with Creatinine Allow Accurate Assessment of Renal Insufficiency—A Proof of Concept
title_full_unstemmed Serum Myo-Inositol, Dimethyl Sulfone, and Valine in Combination with Creatinine Allow Accurate Assessment of Renal Insufficiency—A Proof of Concept
title_short Serum Myo-Inositol, Dimethyl Sulfone, and Valine in Combination with Creatinine Allow Accurate Assessment of Renal Insufficiency—A Proof of Concept
title_sort serum myo-inositol, dimethyl sulfone, and valine in combination with creatinine allow accurate assessment of renal insufficiency—a proof of concept
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913668/
https://www.ncbi.nlm.nih.gov/pubmed/33546466
http://dx.doi.org/10.3390/diagnostics11020234
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