| Literature DB >> 30904564 |
Mariana Pedrini1, Bing Cao2, João Victor Silva Nani3, Raphael O Cerqueira4, Rodrigo B Mansur5, Ljubica Tasic6, Mirian A F Hayashi3, Roger S McIntyre5, Elisa Brietzke7.
Abstract
Metabolomics is defined as the study of the global metabolite profile in a system under a given set of conditions. The objective of this review is to comprehensively assess the literature on metabolomics in mood disorders and schizophrenia and provide data for mental health researchers about the challenges and potentials of metabolomics. The majority of studies in metabolomics in Psychiatry uses peripheral blood or urine. The most widely used analytical techniques in metabolomics research are nuclear magnetic resonance (NMR) and mass spectrometry (MS). They are multiparametric and provide extensive structural and conformational information on multiple chemical classes. NMR is useful in untargeted analysis, which focuses on biosignatures or 'metabolic fingerprints' of illnesses. MS targeted metabolomics approach focuses on the identification and quantification of selected metabolites known to be involved in a particular metabolic pathway. The available studies of metabolomics in Schizophrenia, Bipolar Disorder and Major Depressive Disorder suggest a potential in investigating metabolic pathways involved in these diseases' pathophysiology and response to treatment, as well as its potential in biomarkers identification.Entities:
Keywords: Bipolar disorder; Major depressive disorder; Mental disorders; Metabolomics; Personalized treatment; Schizophrenia
Mesh:
Year: 2019 PMID: 30904564 DOI: 10.1016/j.pnpbp.2019.03.010
Source DB: PubMed Journal: Prog Neuropsychopharmacol Biol Psychiatry ISSN: 0278-5846 Impact factor: 5.067