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Omics-Based Biomarkers: Application of Metabolomics in Neuropsychiatric Disorders
Author(s) -
Sumit Sethi,
Elisa Brietzke
Publication year - 2015
Publication title -
the international journal of neuropsychopharmacology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.897
H-Index - 107
eISSN - 1469-5111
pISSN - 1461-1457
DOI - 10.1093/ijnp/pyv096
Subject(s) - omics , metabolomics , biomarker , disease , context (archaeology) , schizophrenia (object oriented programming) , biomarker discovery , medicine , diagnostic biomarker , psychiatry , bioinformatics , pathology , proteomics , biology , paleontology , biochemistry , gene
One of the major concerns of modern society is to identify putative biomarkers that serve as a valuable early diagnostic tool to identify a subset of patients with increased risk to develop neuropsychiatric disorders. Biomarker identification in neuropsychiatric disorders is proposed to offer a number of important benefits to patient well-being, including prediction of forthcoming disease, diagnostic precision, and a level of disease description that would guide treatment choice. Nowadays, the metabolomics approach has unlocked new possibilities in diagnostics of devastating disorders like neuropsychiatric disorders. Metabolomics-based technologies have the potential to map early biochemical changes in disease and hence provide an opportunity to develop predictive biomarkers that can be used as indicators of pathological abnormalities prior to development of clinical symptoms of neuropsychiatric disorders. This review highlights different -omics strategies for biomarker discovery in neuropsychiatric disorders. We also highlight initial outcomes from metabolomics studies in psychiatric disorders such as schizophrenia, bipolar disorder, and addictive disorders. This review will also present issues and challenges regarding the implementation of the metabolomics approach as a routine diagnostic tool in the clinical laboratory in context with neuropsychiatric disorders.

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