Literature DB >> 29674269

Alterations of eicosanoids and related mediators in patients with schizophrenia.

Dongfang Wang1, Xiaoyu Sun1, Jingjing Yan1, Biao Ren2, Bing Cao1, Qingbin Lu3, Yaqiong Liu3, Jing Zeng3, Ninghua Huang3, Qing Xie3, Haiwei Gu4, Jingyu Wang5.   

Abstract

Schizophrenia (SCZ) is a multifactorial psychiatric disorder. Currently, its molecular pathogenesis remains largely unknown, and no reliable test for diagnosis and therapy monitoring is available. Polyunsaturated fatty acids (PUFAs) and their derived eicosanoid signaling abnormalities are relevant to the pathophysiology of schizophrenia. However, comprehensive analysis of eicosanoids and related mediators for schizophrenia is very rare. In this study, we applied a targeted liquid chromatography-mass spectrometry based method to monitor 158 PUFAs, eicosanoids and related mediators from enzyme-dependent or independent pathways, in the serum samples of 109 healthy controls, and 115 schizophrenia patients at baseline and after an 8-week period of antipsychotic therapy. Twenty-three metabolites were identified to be significantly altered in SCZ patients at baseline compared to healthy controls, especially arachidonic acid (AA) derived eicosanoids. These disturbances may be related to altered immunological reactions and neurotransmitter signaling. After 8-week antipsychotic treatment, there were 22 metabolites, especially AA and linoleic acid derived eicosanoids, significantly altered in posttreatment patients. Some metabolites, such as several AA derived prostaglandins, thromboxanes, and di-hydroxy-eicosatrienoic acids were reversed toward normal levels after treatment. Based on univariate analysis and orthogonal partial least-squares discriminant analysis, anandamide, oleoylethanolamine, and AA were selected as a panel of potential biomarkers for differentiating baseline SCZ patients from controls, which showed a high sensitivity (0.907), good specificity (0.843) and excellent area under the receiver operating characteristic curve (0.940). This study provided a new perspective to understand the pathophysiological mechanism and identify potential biomarkers of SCZ.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biomarker; Eicosanoids; Liquid chromatography-mass spectrometry; Metabolomics; Polyunsaturated fatty acids; Schizophrenia

Mesh:

Substances:

Year:  2018        PMID: 29674269     DOI: 10.1016/j.jpsychires.2018.04.002

Source DB:  PubMed          Journal:  J Psychiatr Res        ISSN: 0022-3956            Impact factor:   4.791


  6 in total

1.  Measuring Disturbance of the Endocannabinoid System in Psychosis: A Systematic Review and Meta-analysis.

Authors:  Amedeo Minichino; Morwenna Senior; Natascia Brondino; Sam H Zhang; Beata R Godwlewska; Philip W J Burnet; Andrea Cipriani; Belinda R Lennox
Journal:  JAMA Psychiatry       Date:  2019-09-01       Impact factor: 21.596

Review 2.  Membrane fatty acid desaturase: biosynthesis, mechanism, and architecture.

Authors:  Nur Farah Anis Abd Halim; Mohd Shukuri Mohamad Ali; Adam Thean Chor Leow; Raja Noor Zaliha Raja Abd Rahman
Journal:  Appl Microbiol Biotechnol       Date:  2022-09-05       Impact factor: 5.560

Review 3.  Current State of Fluid Lipid Biomarkers for Personalized Diagnostics and Therapeutics in Schizophrenia Spectrum Disorders and Related Psychoses: A Narrative Review.

Authors:  Timothy A Couttas; Beverly Jieu; Cathrin Rohleder; F Markus Leweke
Journal:  Front Psychiatry       Date:  2022-05-27       Impact factor: 5.435

Review 4.  Metabolomics Biomarkers for Precision Psychiatry.

Authors:  Pei-An Betty Shih
Journal:  Adv Exp Med Biol       Date:  2019       Impact factor: 2.622

Review 5.  Endocannabinoid system in psychotic and mood disorders, a review of human studies.

Authors:  Ranjini Garani; Jeremy J Watts; Romina Mizrahi
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2020-09-06       Impact factor: 5.067

Review 6.  Biological Role of Unsaturated Fatty Acid Desaturases in Health and Disease.

Authors:  Aleksandra Czumaj; Tomasz Śledziński
Journal:  Nutrients       Date:  2020-01-29       Impact factor: 5.717

  6 in total

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