Plasma fatty acids metabolic profiling analysis of coronary heart disease based on GC-MS and pattern recognition

J Pharm Biomed Anal. 2009 Feb 20;49(2):481-6. doi: 10.1016/j.jpba.2008.10.018. Epub 2008 Oct 28.

Abstract

A simple approach for comprehensive profiling of fatty acids in human plasma based on gas chromatography-mass spectrometry (GC-MS) was described and validated. With this method, plasma fatty acid metabolic profiles of 23 coronary heart disease (CHD) patients and 25 healthy subjects were determined. Pattern recognition technology was used to establishing differences in the metabolic profiles of these two groups. Furthermore, CHD patients with two different patterns in Traditional Chinese Medicine clinical practices could be classified by the corresponding metabolic profiles, and several potential biomarkers were discussed.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • Biomarkers / blood
  • Biomarkers / metabolism
  • Blood / metabolism*
  • Case-Control Studies
  • Coronary Disease / metabolism*
  • Drug Stability
  • Drug Storage
  • Fatty Acids / metabolism*
  • Female
  • Freezing
  • Gas Chromatography-Mass Spectrometry / methods*
  • Humans
  • Least-Squares Analysis
  • Male
  • Medicine, Chinese Traditional
  • Metabolome / physiology*
  • Middle Aged
  • Multivariate Analysis
  • Principal Component Analysis
  • Reference Standards
  • Reproducibility of Results
  • Solvents / chemistry

Substances

  • Biomarkers
  • Fatty Acids
  • Solvents