Literature DB >> 28294621

Quantification of Metabolites by NMR Spectroscopy in the Presence of Protein.

Jens Wallmeier1, Claudia Samol1, Lisa Ellmann1, Helena U Zacharias1, Franziska C Vogl1, Muriel Garcia1, Katja Dettmer1, Peter J Oefner1, Wolfram Gronwald1.   

Abstract

The high reliability of NMR spectroscopy makes it an ideal tool for large-scale metabolomic studies. However, the complexity of biofluids and, in particular, the presence of macromolecules poses a significant challenge. Ultrafiltration and protein precipitation are established means of deproteinization and recovery of free or total metabolite content, but neither is ever complete. In addition, aside from cost and labor, all deproteinization methods constitute an additional source of experimental variation. The Carr-Purcell-Meiboom-Gill (CPMG) echo-train acquisition of NMR spectra obviates the need for prior deproteinization by attenuating signals from macromolecules, but concentration values of metabolites measured in blood plasma will not necessarily reflect total or free metabolite content. Here, in contrast to approaches that propose the determination of individual T1 and T2 relaxation times for the computation of correction factors, we demonstrate their determination by spike-in experiments with known amounts of metabolites in pooled samples of the matrix of interest to facilitate the measurement of total metabolite content. Provided that the protein content does not vary too much among individual samples, accurate quantitation of metabolites is feasible. Moreover, samples with significantly deviating protein content may be readily recognized by inclusion of a standard that shows moderate protein binding. It is also shown that urinary proteins when present in high concentrations may effect detection of common urinary metabolites prone to strong protein binding such as tryptophan.

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Keywords:  1D NMR; CPMG; correction factors; plasma; quantification

Mesh:

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Year:  2017        PMID: 28294621     DOI: 10.1021/acs.jproteome.7b00057

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  7 in total

1.  Application of a proton quantitative nuclear magnetic resonance spectroscopy method for the determination of actinodaphnine in Illigera aromatica and Illigera henryi.

Authors:  Jian-Wei Dong; Xue-Jiao Li; Jun-You Shi; Kai-Quan Liu
Journal:  J Nat Med       Date:  2018-11-09       Impact factor: 2.343

2.  Metabolite quantification: A fluorescence-based method for urine sample normalization prior to 1H-NMR analysis.

Authors:  James Gerard Wolfsberger; Emily C Hunt; Sai Sumedha Bobba; Sharifa Love-Rutledge; Bernhard Vogler
Journal:  Metabolomics       Date:  2022-10-19       Impact factor: 4.747

3.  A multi-source data integration approach reveals novel associations between metabolites and renal outcomes in the German Chronic Kidney Disease study.

Authors:  Michael Altenbuchinger; Helena U Zacharias; Stefan Solbrig; Andreas Schäfer; Mustafa Büyüközkan; Ulla T Schultheiß; Fruzsina Kotsis; Anna Köttgen; Rainer Spang; Peter J Oefner; Jan Krumsiek; Wolfram Gronwald
Journal:  Sci Rep       Date:  2019-09-27       Impact factor: 4.379

4.  A comparison of high-throughput plasma NMR protocols for comparative untargeted metabolomics.

Authors:  Nikolaos G Bliziotis; Udo F H Engelke; Ruud L E G Aspers; Jasper Engel; Jaap Deinum; Henri J L M Timmers; Ron A Wevers; Leo A J Kluijtmans
Journal:  Metabolomics       Date:  2020-05-01       Impact factor: 4.290

Review 5.  Metabolomic Approaches to Study Chemical Exposure-Related Metabolism Alterations in Mammalian Cell Cultures.

Authors:  Aneta Balcerczyk; Christian Damblon; Bénédicte Elena-Herrmann; Baptiste Panthu; Gilles J P Rautureau
Journal:  Int J Mol Sci       Date:  2020-09-18       Impact factor: 5.923

Review 6.  Chronic Kidney Disease Cohort Studies: A Guide to Metabolome Analyses.

Authors:  Ulla T Schultheiss; Robin Kosch; Fruzsina Kotsis; Michael Altenbuchinger; Helena U Zacharias
Journal:  Metabolites       Date:  2021-07-16

Review 7.  Quantitative NMR-Based Biomedical Metabolomics: Current Status and Applications.

Authors:  Alexandra A Crook; Robert Powers
Journal:  Molecules       Date:  2020-11-04       Impact factor: 4.927

  7 in total

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