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Metabolomics Toward Biomarker Discovery.

Peiyuan Yin1, Guowang Xu2

  • 1Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, 16023, Dalian, China. yinpy@dicp.ac.cn.

Methods in Molecular Biology (Clifton, N.J.)
|July 5, 2017
PubMed
Summary

Metabolomics, using mass spectrometry (MS), aids in discovering clinical biomarkers. This chapter outlines a protocol for finding novel diagnostic and prognostic biomarkers from metabolic data.

Keywords:
BiomarkerMass spectrometryMetabolomics

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Area of Science:

  • Clinical metabolomics
  • Biomarker discovery
  • Analytical chemistry

Background:

  • Metabolomics is a valuable tool for identifying novel biomarkers across various clinical applications.
  • Analytical platforms like nuclear magnetic resonance (NMR) and mass spectrometry (MS) enable the analysis of thousands of metabolites.
  • Multivariate data analysis assists in defining potential biomarkers from complex metabolic datasets.

Purpose of the Study:

  • To introduce a general protocol for biomarker discovery.
  • To focus on metabolomics approaches utilizing mass spectrometry (MS).
  • To address the challenges in identifying biomarkers with high diagnostic or prognostic performance.

Main Methods:

  • Utilizing mass spectrometry (MS) for metabolite profiling.
  • Applying multivariate data analysis techniques.
  • Following a general protocol for biomarker discovery in metabolomics.

Main Results:

  • The chapter provides a framework for biomarker discovery.
  • It highlights the potential of MS in identifying metabolic biomarkers.
  • Challenges in achieving good diagnostic/prognostic performance are acknowledged.

Conclusions:

  • Metabolomics, particularly using MS, offers a practical approach to biomarker discovery.
  • The outlined protocol serves as a guide for researchers.
  • Further refinement is needed to enhance the diagnostic and prognostic utility of identified biomarkers.