Literature DB >> 31763785

NMR Spectroscopy-Based Metabolic Profiling of Biospecimens.

Arjun Sengupta1,2, Aalim M Weljie1,2.   

Abstract

Metabolomics refers to study of metabolites in biospecimens such as blood serum, tissues, and urine. Nuclear magnetic resonance (NMR) spectroscopy and ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS; mass spectrometry coupled with liquid chromatography) are most frequently employed to analyze complex biological/clinical samples. NMR is a relatively insensitive tool compared to UPLC-MS/MS but offers straightforward quantification and identification and easy sample processing. One-dimensional 1 H NMR spectroscopy is inherently quantitative and can be readily used for metabolite quantification without individual metabolite standards. Two-dimensional spectroscopy is most commonly used for identification of metabolites but can also be used quantitatively. Although NMR experiments are unbiased regarding the chemical nature of the analyte, it is crucial to adhere to the proper metabolite extraction protocol for optimum results. Selection and implementation of appropriate NMR pulse programs are also important. Finally, employment of the correct metabolite quantification strategy is crucial as well. In this unit, step-by-step guidance for running an NMR metabolomics experiment from typical biospecimens is presented. The unit describes an optimized metabolite extraction protocol, followed by implementation of NMR experiments and quantification strategies using the so-called "targeted profiling" technique. This approach relies on an underlying basis set of metabolite spectra acquired under similar conditions. Some strategies for statistical analysis of the data are also presented. Overall, this set of protocols should serve as a guide for anyone who wishes to enter the world of NMR-based metabolomics analysis.
© 2019 by John Wiley & Sons, Inc. Basic Protocol 1: Metabolite extraction from different biospecimens Basic Protocol 2: Preparation of dried upper fraction for NMR analysis Alternate Protocol: Preparation of urine samples for NMR analysis Basic Protocol 3: NMR experiments Basic Protocol 4: Spectral processing and quantification of metabolites Basic Protocol 5: Statistical analysis of the data. © 2019 John Wiley & Sons, Inc.

Entities:  

Keywords:  NMR; metabolites; metabolomics; targeted profiling

Mesh:

Year:  2019        PMID: 31763785      PMCID: PMC6884008          DOI: 10.1002/cpps.98

Source DB:  PubMed          Journal:  Curr Protoc Protein Sci        ISSN: 1934-3655


  44 in total

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4.  Data Normalization of (1)H NMR Metabolite Fingerprinting Data Sets in the Presence of Unbalanced Metabolite Regulation.

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5.  Altered diurnal states in insomnia reflect peripheral hyperarousal and metabolic desynchrony: a preliminary study.

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6.  DSA: a new internal standard for NMR studies in aqueous solution.

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Journal:  Org Lett       Date:  2003-09-18       Impact factor: 6.005

7.  NMR-based characterization of metabolic alterations in hypertension using an adaptive, intelligent binning algorithm.

Authors:  Tim De Meyer; Davy Sinnaeve; Bjorn Van Gasse; Elena Tsiporkova; Ernst R Rietzschel; Marc L De Buyzere; Thierry C Gillebert; Sofie Bekaert; José C Martins; Wim Van Criekinge
Journal:  Anal Chem       Date:  2008-04-18       Impact factor: 6.986

8.  Extraction and Analysis of Pan-metabolome Polar Metabolites by Ultra Performance Liquid Chromatography-Tandem Mass Spectrometry (UPLC-MS/MS).

Authors:  Dania M Malik; Seth Rhoades; Aalim Weljie
Journal:  Bio Protoc       Date:  2018-02-05

9.  MetaboAnalyst: a web server for metabolomic data analysis and interpretation.

Authors:  Jianguo Xia; Nick Psychogios; Nelson Young; David S Wishart
Journal:  Nucleic Acids Res       Date:  2009-05-08       Impact factor: 16.971

10.  New plasma preparation approach to enrich metabolome coverage in untargeted metabolomics: plasma protein bound hydrophobic metabolite release with proteinase K.

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Journal:  Sci Rep       Date:  2018-06-22       Impact factor: 4.379

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Review 3.  Circadian and Sleep Metabolomics Across Species.

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