Metabolomics: A global biochemical approach to the discovery of biomarkers for psychiatric disorders

Published

Journal Article (Chapter)

A biomarker is a characteristic that is objectively measured and evaluated as an indicator of normal or pathogenic processes, as well as responses to therapeutic interventions. The discovery of biomarkers for psychiatric disorders and their incorporation into clinical decision-making could dramatically change the future delivery of health care. Thus, there is great need for the discovery, evaluation, and clinical validation of biomarkers. Abnormalities present in psychiatric illness might be related to changes in cellular metabolism leading to measurable differences in the composition and levels of the universe of all plasma metabolites known as the metabolome. Characterizing these biochemical changes could be very useful in the identification of disease biomarkers. Metabolomics is the study of metabolism at the global level. The concept that a metabolic state is representative of the overall physiologic status of the organism lies at the heart of metabolomics. Metabolomic studies capture global biochemical events by assaying thousands of small molecules in cells, tissues, organs, or biological fluids, followed by the application of informatic techniques to define metabolomic signatures. Metabolomic studies can lead to enhanced understanding of disease mechanisms in psychiatric illnesses, as demonstrated by early work in schizophrenia and mood disorders. This chapter begins with an overview of the principles underlying biomarker research and changes in metabolism associated with psychiatric disorders. Then, it describes the conceptual basis for metabolomics, the analytical and informatic techniques used to define metabolomic signatures, and how to use this information to identify biomarkers for psychiatric disorders. © Springer Science + Business Media, LLC 2008.

Full Text

Duke Authors

Cited Authors

  • Kaddurah-Daouk, R; Soares, JC; Quinones, MP

Published Date

  • December 1, 2009

Start / End Page

  • 129 - 162

Digital Object Identifier (DOI)

  • 10.1007/978-0-387-79251-4_6

Citation Source

  • Scopus