Metabolomics enables precision medicine: “A White Paper, Community Perspective”

Richard D. Beger, Warwick Dunn, Michael A. Schmidt, Steven S. Gross, Jennifer A. Kirwan, Marta Cascante, Lorraine Brennan, David S. Wishart, Matej Oresic, Thomas Hankemeier, David I. Broadhurst, Andrew N. Lane, Karsten Suhre, Gabi Kastenmüller, Susan J. Sumner, Ines Thiele, Oliver Fiehn, Rima Kaddurah-daouk

Research output: Contribution to journalArticlepeer-review

242 Citations (Scopus)
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Abstract

Metabolomics is the comprehensive study of the metabolome, the repertoire of biochemicals (or small molecules) present in cells, tissues, and body fluids. The study of metabolism at the global or “-omics” level is a rapidly growing field that has the potential to have a profound impact upon medical practice. At the center of metabolomics, is the concept that a person’s metabolic state provides a close representation of that individual’s overall health status. This metabolic state reflects what has been encoded by the genome, and modified by diet, environmental factors, and the gut microbiome. The metabolic profile provides a quantifiable readout of biochemical state from normal physiology to diverse pathophysiologies in a manner that is often not obvious from gene expression analyses. Today, clinicians capture only a very small part of the information contained in the metabolome, as they routinely measure only a narrow set of blood chemistry analytes to assess health and disease states. Examples include measuring glucose to monitor diabetes, measuring cholesterol and high density lipoprotein/low density lipoprotein ratio to assess cardiovascular health, BUN and creatinine for renal disorders, and measuring a panel of metabolites to diagnose potential inborn errors of metabolism in neonates.
Original languageEnglish
Article number149
JournalMetabolomics
Volume12
Issue number10
Early online date2 Sep 2016
DOIs
Publication statusPublished - 1 Oct 2016

Keywords

  • Metabolomics
  • Metabonomics
  • Pharmacometabolomics
  • Pharmacometabonomics
  • Precision medicine
  • Personalized medicine

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