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Related Concept Videos

Sample Preparation for Analysis: Overview01:21

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Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
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Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics

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Sample Preparation and Data Analysis for NMR-Based Metabolomics.

Tapas K Mal1, Yuan Tian2, Andrew D Patterson2

  • 1Department of Chemistry, Pennsylvania State University, University Park, PA, USA. tapas@psu.edu.

Methods in Molecular Biology (Clifton, N.J.)
|September 14, 2020
PubMed
Summary
This summary is machine-generated.

Nuclear Magnetic Resonance (NMR) spectroscopy is a powerful tool for metabolomics, enabling simultaneous metabolite identification and quantification in biological samples. This study details sample preparation and NMR methods for comprehensive metabolic analysis and biomarker discovery.

Keywords:
COSYCPMGHMBCHRMASHSQCMetabolomicsNMRTOCSY

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Area of Science:

  • Analytical Chemistry
  • Biochemistry
  • Molecular Biology

Background:

  • Nuclear Magnetic Resonance (NMR) spectroscopy is a preferred technique for metabolomics due to its non-destructive nature, reproducibility, and ability to analyze complex biological mixtures.
  • Metabolomics studies using NMR involve measuring and statistically analyzing metabolites in various biological samples like biofluids, tissues, and stool.

Purpose of the Study:

  • To describe methodologies for preparing biological samples (biofluids, tissues, stool) for NMR-based metabolomics.
  • To outline the application of various NMR experiments for metabolite identification and quantification.
  • To highlight the use of multivariate statistical analysis for biomarker discovery and other applications.

Main Methods:

  • Sample preparation protocols for biofluids (serum, saliva, urine), stool/feces, intestinal content, and tissues, including polar metabolite extraction.
  • Acquisition of 1D (1H NMR with variations) and 2D NMR experiments (TOCSY, COSY, J-resolved, HSQC, HMBC) for metabolite profiling and identification.
  • Application of targeted and untargeted multivariate statistical analysis on NMR data.

Main Results:

  • Established methodologies for sample preparation and NMR data acquisition in metabolomics.
  • Demonstrated utility of various NMR techniques for comprehensive metabolite analysis.
  • Successful application of statistical analysis for biomarker discovery, clinical diagnosis, and molecular phenotyping.

Conclusions:

  • NMR spectroscopy is a versatile and robust technique for metabolomics research.
  • Standardized sample preparation and NMR methods facilitate reliable metabolic profiling.
  • NMR-based metabolomics holds significant potential for various biological and clinical applications.