Serum metabolic profiling using small molecular water-soluble metabolites in individuals with schizophrenia: A longitudinal study using a pre-post-treatment design.


Journal

Psychiatry and clinical neurosciences
ISSN: 1440-1819
Titre abrégé: Psychiatry Clin Neurosci
Pays: Australia
ID NLM: 9513551

Informations de publication

Date de publication:
Mar 2019
Historique:
received: 07 06 2018
revised: 24 07 2018
accepted: 21 08 2018
pubmed: 30 8 2018
medline: 6 4 2019
entrez: 30 8 2018
Statut: ppublish

Résumé

We sought to compare alterations in serum bioenergetic markers within a well-characterized sample of adults with schizophrenia at baseline and after 8 weeks of pharmacological treatment with the hypothesis that treatment would be associated with significant changes in bioenergetic markers given the role of bioenergetic dysfunction in schizophrenia. We recruited adults with schizophrenia (n = 122) who had not received pharmacological treatment for at least 1 month prior to enrollment, including drug-naïve (i.e., first-episode) participants and treatment non-adherent participants. Pre- and post-treatment serum samples were analyzed using liquid chromatography-tandem mass spectrometry. Metabolites with the greatest change, when comparing pre- and post-treatment levels, were identified revealing 14 water-soluble metabolites of interest. The composition of these metabolites was: amino acids (n = 6), carnitines (n = 4), polar lipids (n = 3), and organic acid (n = 1). All amino acids and lysophosphatidylcholines (LysoPC) were increased, while the four carnitines - oleoylcarnitine, L-palmitoylcarnitine, linoleyl carnitine, and L-acetylcarnitine - were decreased post-treatment. Of these metabolite biomarkers, six - oleoylcarnitine, linoleyl carnitine, L-acetylcarnitine, LysoPC(15:0), D-glutamic acid, and L-arginine - were identified as having most consistently and predictably changed after 8 weeks of treatment. The current study identified several bioenergetic markers that consistently change with pharmacological treatment. These bioenergetic changes may provide further insights into the pathophysiology of schizophrenia along with furthering our understanding of the mechanisms subserving both the effects (e.g., antipsychotic effects) and side-effects (e.g., metabolic syndrome) of antipsychotics.

Identifiants

pubmed: 30156046
doi: 10.1111/pcn.12779
doi:

Substances chimiques

Amino Acids 0
Antipsychotic Agents 0
Biomarkers 0
Lysophosphatidylcholines 0
Carnitine S7UI8SM58A

Types de publication

Clinical Trial Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

100-108

Subventions

Organisme : Medicine Interdisciplinary Seed Fund
ID : BMU20140435

Informations de copyright

© 2018 The Authors. Psychiatry and Clinical Neurosciences © 2018 Japanese Society of Psychiatry and Neurology.

Auteurs

Bing Cao (B)

Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China.

Min Jin (M)

School of Public Health, Baotou Medical College, Baotou, China.

Elisa Brietzke (E)

Mood Disorders Psychopharmacology Unit, Toronto Western Hospital, University Health Network, Toronto, Canada.

Roger S McIntyre (RS)

Mood Disorders Psychopharmacology Unit, Toronto Western Hospital, University Health Network, Toronto, Canada.
The Brain and Cognition Discovery Foundation, Toronto, Canada.

Dongfang Wang (D)

Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China.

Joshua D Rosenblat (JD)

Mood Disorders Psychopharmacology Unit, Toronto Western Hospital, University Health Network, Toronto, Canada.

Renee-Marie Ragguett (RM)

Mood Disorders Psychopharmacology Unit, Toronto Western Hospital, University Health Network, Toronto, Canada.

Chuanbo Zhang (C)

Weifang Mental Health Center, Weifang, China.

Xiaoyu Sun (X)

Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China.

Carola Rong (C)

Mood Disorders Psychopharmacology Unit, Toronto Western Hospital, University Health Network, Toronto, Canada.

Jingyu Wang (J)

Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China.
Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Beijing, China.

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Classifications MeSH