Metabonomics as a clinical tool of analysis : LC-MS approaches

Alzweiri, Muhammed and Watson, David G. and Parkinson, John A. (2013) Metabonomics as a clinical tool of analysis : LC-MS approaches. Journal of Liquid Chromatography and Related Technologies, 36 (1). pp. 94-115. (https://doi.org/10.1080/10826076.2011.644054)

Full text not available in this repository.Request a copy

Abstract

Metabolic differences between test and control groups (i.e. metabonomics) are routinely accomplished by using multivariate analysis for data obtained commonly from NMR, GC-MS and LC-MS. Multivariate analysis (e.g. principal component analysis PCA) is commonly used to extract potential metabolites responsible for clinical observations. Metabonomics applied to the clinical field is challenging because the physiological variabilities like gender, age, race…etc might govern the cluster pattern obtained by multivariate analysis instead of the tested differences. This review focuses on the challenges facing the clinical applications of metabonomics and introduces their possible solutions as mentioned in the literature.

ORCID iDs

Alzweiri, Muhammed, Watson, David G. ORCID logoORCID: https://orcid.org/0000-0003-1094-7604 and Parkinson, John A. ORCID logoORCID: https://orcid.org/0000-0003-4270-6135;
CORE (COnnecting REpositories)