Literature DB >> 30411484

Biomarkers for major depressive and bipolar disorders using metabolomics: A systematic review.

Kellie MacDonald1, Ankur Krishnan1, Emily Cervenka1, Grace Hu1, Elena Guadagno2, Yannis Trakadis1,3.   

Abstract

Major depressive disorder (MDD) and bipolar disorder (BD) lack robust biomarkers useful for screening purposes in a clinical setting. A systematic review of the literature was conducted on metabolomic studies of patients with MDD or BD through the use of analytical platforms such as in vivo brain imaging, mass spectrometry, and nuclear magnetic resonance. Our search identified a total of 7,590 articles, of which 266 articles remained for full-text revision. Overall, 249 metabolites were found to be dysregulated with 122 of these metabolites being reported in two or more of the studies included. A list of biomarkers for MDD and BD established from metabolites found to be abnormal, along with the number of studies supporting each metabolite and a comparison of which biological fluids they were reported in, is provided. Metabolic pathways that may be important in the pathophysiology of MDD and BD were identified and predominantly center on glutamatergic metabolism, energy metabolism, and neurotransmission. Using online drug registries, we also illustrate how metabolomics can facilitate the discovery of novel candidate drug targets.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  biochemical; biomarker panel; mood disorders; omics

Mesh:

Substances:

Year:  2018        PMID: 30411484     DOI: 10.1002/ajmg.b.32680

Source DB:  PubMed          Journal:  Am J Med Genet B Neuropsychiatr Genet        ISSN: 1552-4841            Impact factor:   3.568


  19 in total

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5.  Pilot Study of Metabolomic Clusters as State Markers of Major Depression and Outcomes to CBT Treatment.

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Review 8.  An evidence map of actigraphy studies exploring longitudinal associations between rest-activity rhythms and course and outcome of bipolar disorders.

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10.  Mitochondrial gene signature in the prefrontal cortex for differential susceptibility to chronic stress.

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Journal:  Sci Rep       Date:  2020-10-27       Impact factor: 4.379

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