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Serum metabolite profile associates with the development of metabolic co-morbidities in first-episode psychosis
Psychotic patients are at high risk for developing obesity, metabolic syndrome and type 2 diabetes. These metabolic co-morbidities are hypothesized to be related to both treatment side effects as well as to metabolic changes occurring during the psychosis. Earlier metabolomics studies have shown tha...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5314133/ https://www.ncbi.nlm.nih.gov/pubmed/27845774 http://dx.doi.org/10.1038/tp.2016.222 |
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author | Suvitaival, T Mantere, O Kieseppä, T Mattila, I Pöhö, P Hyötyläinen, T Suvisaari, J Orešič, M |
author_facet | Suvitaival, T Mantere, O Kieseppä, T Mattila, I Pöhö, P Hyötyläinen, T Suvisaari, J Orešič, M |
author_sort | Suvitaival, T |
collection | PubMed |
description | Psychotic patients are at high risk for developing obesity, metabolic syndrome and type 2 diabetes. These metabolic co-morbidities are hypothesized to be related to both treatment side effects as well as to metabolic changes occurring during the psychosis. Earlier metabolomics studies have shown that blood metabolite levels are predictive of insulin resistance and type 2 diabetes in the general population as well as sensitive to the effects of antipsychotics. In this study, we aimed to identify the metabolite profiles predicting future weight gain and other metabolic abnormalities in psychotic patients. We applied comprehensive metabolomics to investigate serum metabolite profiles in a prospective study setting in 36 first-episode psychosis patients during the first year of the antipsychotic treatment and 19 controls. While corroborating several earlier findings when comparing cases and controls and the effects of the antipsychotic medication, we also found that prospective weight gain in psychotic patients was associated with increased levels of triacylglycerols with low carbon number and double-bond count at baseline, that is, lipids known to be associated with increased liver fat. Our study suggests that metabolite profiles may be used to identify the psychotic patients most vulnerable to develop metabolic co-morbidities, and may point to a pharmacological approach to counteract the antipsychotic-induced weight gain. |
format | Online Article Text |
id | pubmed-5314133 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53141332017-02-27 Serum metabolite profile associates with the development of metabolic co-morbidities in first-episode psychosis Suvitaival, T Mantere, O Kieseppä, T Mattila, I Pöhö, P Hyötyläinen, T Suvisaari, J Orešič, M Transl Psychiatry Original Article Psychotic patients are at high risk for developing obesity, metabolic syndrome and type 2 diabetes. These metabolic co-morbidities are hypothesized to be related to both treatment side effects as well as to metabolic changes occurring during the psychosis. Earlier metabolomics studies have shown that blood metabolite levels are predictive of insulin resistance and type 2 diabetes in the general population as well as sensitive to the effects of antipsychotics. In this study, we aimed to identify the metabolite profiles predicting future weight gain and other metabolic abnormalities in psychotic patients. We applied comprehensive metabolomics to investigate serum metabolite profiles in a prospective study setting in 36 first-episode psychosis patients during the first year of the antipsychotic treatment and 19 controls. While corroborating several earlier findings when comparing cases and controls and the effects of the antipsychotic medication, we also found that prospective weight gain in psychotic patients was associated with increased levels of triacylglycerols with low carbon number and double-bond count at baseline, that is, lipids known to be associated with increased liver fat. Our study suggests that metabolite profiles may be used to identify the psychotic patients most vulnerable to develop metabolic co-morbidities, and may point to a pharmacological approach to counteract the antipsychotic-induced weight gain. Nature Publishing Group 2016-11 2016-11-15 /pmc/articles/PMC5314133/ /pubmed/27845774 http://dx.doi.org/10.1038/tp.2016.222 Text en Copyright © 2016 The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Original Article Suvitaival, T Mantere, O Kieseppä, T Mattila, I Pöhö, P Hyötyläinen, T Suvisaari, J Orešič, M Serum metabolite profile associates with the development of metabolic co-morbidities in first-episode psychosis |
title | Serum metabolite profile associates with the development of metabolic co-morbidities in first-episode psychosis |
title_full | Serum metabolite profile associates with the development of metabolic co-morbidities in first-episode psychosis |
title_fullStr | Serum metabolite profile associates with the development of metabolic co-morbidities in first-episode psychosis |
title_full_unstemmed | Serum metabolite profile associates with the development of metabolic co-morbidities in first-episode psychosis |
title_short | Serum metabolite profile associates with the development of metabolic co-morbidities in first-episode psychosis |
title_sort | serum metabolite profile associates with the development of metabolic co-morbidities in first-episode psychosis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5314133/ https://www.ncbi.nlm.nih.gov/pubmed/27845774 http://dx.doi.org/10.1038/tp.2016.222 |
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