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Metabonomics: the future of personalized healthcare in liver intensive care?
Author(s) -
Rabiya Zia,
Muireann Coen,
Mark McPhail,
Ian D. Wilson
Publication year - 2016
Publication title -
the biochemist
Language(s) - English
Resource type - Journals
eISSN - 1740-1194
pISSN - 0954-982X
DOI - 10.1042/bio03801027
Subject(s) - medicine , candidacy , cirrhosis , intensive care medicine , personalized medicine , multivariate analysis , multivariate statistics , health care , phenotype , bioinformatics , biology , computer science , political science , law , biochemistry , machine learning , politics , gene , economics , economic growth
Metabonomics involves the use of high-resolution analytical platforms to characterize the low-molecular-mass metabolic composition of biofluids and tissues. The resulting complex metabolic phenotype data are modelled using multivariate statistical approaches to identify systems levels panels of metabolites that discriminate between phenotypes (metabotypes), providing mechanistic insight and candidate biomarkers. With the increasing incidence of liver cirrhosis nationally, the pressures on NHS liver units is set to intensify, with mortality rates in these patients remaining high. This article describes a personalized medicine approach to stratify patients' mortality risk using metabolic phenotyping. This could aid doctors in clinical decision-making for patient transplant candidacy and critical care management to improve current survival rates.

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