LC-MS-based metabolomics in drug metabolism

Chi Chen, Frank J. Gonzalez, Jeffrey R. Idle

Research output: Contribution to journalReview article

168 Scopus citations

Abstract

Xenobiotic metabolism, a ubiquitous natural response to foreign compounds, elicits initiating signals for many pathophysiological events. Currently, most widely used techniques for identifying xenobiotic metabolites and metabolic pathways are empirical and largely based on in vitro incubation assays and in vivo radiotracing experiments. Recent work in our lab has shown that LC-MS-based metabolomic techniques are useful tools for xenobiotic metabolism research since multivariate data analysis in metabolomics can significantly rationalize the processes of xenobiotic metabolite identification and metabolic pathway analysis. In this review, the technological elements of LC-MS-based metabolomics for constructing high-quality datasets and conducting comprehensive data analysis are examined. Four novel approaches of using LC-MS-based metabolomic techniques in xenobiotic metabolism research are proposed and illustrated by case studies and proof-of-concept experiments, and the perspective on their application is further discussed.

Original languageEnglish (US)
Pages (from-to)581-597
Number of pages17
JournalDrug Metabolism Reviews
Volume39
Issue number2-3
DOIs
StatePublished - Apr 1 2007

Keywords

  • Drug metabolism
  • LC-MS
  • Metabolomics
  • Multivariate data analysis
  • Xenobiotic metabolism

Fingerprint Dive into the research topics of 'LC-MS-based metabolomics in drug metabolism'. Together they form a unique fingerprint.

  • Cite this