Unbiased lipidomic profiling reveals metabolomic changes during the onset and antipsychotics treatment of schizophrenia disease

Unbiased lipidomic profiling reveals metabolomic changes during the onset and antipsychotics... Introduction Schizophrenia (SCH) is one of the most common psychiatric disorders, which involves impairments in motiva- tion and cognition. The pathological mechanisms underlying SCH are still unknown, and no effective therapies can prevent or treat perfectly the cognitive impairments and deficit symptoms caused by SCH. Objectives We aimed to find the lipid expression change in plasma that underlie SCH onset and antipsychotics treatment. Methods We performed a data independent acquisition-based untargeted lipidomic approach on a quadrupole-time of flight liquid chromatography coupled to mass spectrometry platform. The plasma lipidomic profiles of SCH patients (n = 20) pre- and post-antipsychotics treatment were acquired as well as healthy controls (n = 29). Grouped or paired t-test were used to analyze the data. Results Over 1000 features were detected by our lipidomic analysis, of which 445 lipids belonging to 17 lipid species were reliably identified by tandem mass spectrometry. After statistical analysis, 47 lipids belonging to 9 lipid species were found to be dysregulated between naive SCH patients and healthy controls, and 50 lipids belonging to 9 lipid species were found to be dysregulated after antipsychotics treatment. These findings include several new SCH-relevant lipid species such as sphingomyelin, acylcarnitine and ceramide. Four types http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Metabolomics Springer Journals

Unbiased lipidomic profiling reveals metabolomic changes during the onset and antipsychotics treatment of schizophrenia disease

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Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Life Sciences; Biochemistry, general; Molecular Medicine; Cell Biology; Developmental Biology; Biomedicine, general
ISSN
1573-3882
eISSN
1573-3890
D.O.I.
10.1007/s11306-018-1375-3
Publisher site
See Article on Publisher Site

Abstract

Introduction Schizophrenia (SCH) is one of the most common psychiatric disorders, which involves impairments in motiva- tion and cognition. The pathological mechanisms underlying SCH are still unknown, and no effective therapies can prevent or treat perfectly the cognitive impairments and deficit symptoms caused by SCH. Objectives We aimed to find the lipid expression change in plasma that underlie SCH onset and antipsychotics treatment. Methods We performed a data independent acquisition-based untargeted lipidomic approach on a quadrupole-time of flight liquid chromatography coupled to mass spectrometry platform. The plasma lipidomic profiles of SCH patients (n = 20) pre- and post-antipsychotics treatment were acquired as well as healthy controls (n = 29). Grouped or paired t-test were used to analyze the data. Results Over 1000 features were detected by our lipidomic analysis, of which 445 lipids belonging to 17 lipid species were reliably identified by tandem mass spectrometry. After statistical analysis, 47 lipids belonging to 9 lipid species were found to be dysregulated between naive SCH patients and healthy controls, and 50 lipids belonging to 9 lipid species were found to be dysregulated after antipsychotics treatment. These findings include several new SCH-relevant lipid species such as sphingomyelin, acylcarnitine and ceramide. Four types

Journal

MetabolomicsSpringer Journals

Published: Jun 1, 2018

References

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