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Metabolome in schizophrenia and other psychotic disorders: a general population-based study

BACKGROUND: Persons with schizophrenia and other psychotic disorders have a high prevalence of obesity, impaired glucose tolerance, and lipid abnormalities, particularly hypertriglyceridemia and low high-density lipoprotein. More detailed molecular information on the metabolic abnormalities may reve...

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Autores principales: Orešič, Matej, Tang, Jing, Seppänen-Laakso, Tuulikki, Mattila, Ismo, Saarni, Suoma E, Saarni, Samuli I, Lönnqvist, Jouko, Sysi-Aho, Marko, Hyötyläinen, Tuulia, Perälä, Jonna, Suvisaari, Jaana
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3092104/
https://www.ncbi.nlm.nih.gov/pubmed/21429189
http://dx.doi.org/10.1186/gm233
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author Orešič, Matej
Tang, Jing
Seppänen-Laakso, Tuulikki
Mattila, Ismo
Saarni, Suoma E
Saarni, Samuli I
Lönnqvist, Jouko
Sysi-Aho, Marko
Hyötyläinen, Tuulia
Perälä, Jonna
Suvisaari, Jaana
author_facet Orešič, Matej
Tang, Jing
Seppänen-Laakso, Tuulikki
Mattila, Ismo
Saarni, Suoma E
Saarni, Samuli I
Lönnqvist, Jouko
Sysi-Aho, Marko
Hyötyläinen, Tuulia
Perälä, Jonna
Suvisaari, Jaana
author_sort Orešič, Matej
collection PubMed
description BACKGROUND: Persons with schizophrenia and other psychotic disorders have a high prevalence of obesity, impaired glucose tolerance, and lipid abnormalities, particularly hypertriglyceridemia and low high-density lipoprotein. More detailed molecular information on the metabolic abnormalities may reveal clues about the pathophysiology of these changes, as well as about disease specificity. METHODS: We applied comprehensive metabolomics in serum samples from a general population-based study in Finland. The study included all persons with DSM-IV primary psychotic disorder (schizophrenia, n = 45; other non-affective psychosis (ONAP), n = 57; affective psychosis, n = 37) and controls matched by age, sex, and region of residence. Two analytical platforms for metabolomics were applied to all serum samples: a global lipidomics platform based on ultra-performance liquid chromatography coupled to mass spectrometry, which covers molecular lipids such as phospholipids and neutral lipids; and a platform for small polar metabolites based on two-dimensional gas chromatography coupled to time-of-flight mass spectrometry (GC × GC-TOFMS). RESULTS: Compared with their matched controls, persons with schizophrenia had significantly higher metabolite levels in six lipid clusters containing mainly saturated triglycerides, and in two small-molecule clusters containing, among other metabolites, (1) branched chain amino acids, phenylalanine and tyrosine, and (2) proline, glutamic, lactic and pyruvic acids. Among these, serum glutamic acid was elevated in all psychoses (P = 0.0020) compared to controls, while proline upregulation (P = 0.000023) was specific to schizophrenia. After adjusting for medication and metabolic comorbidity in linear mixed models, schizophrenia remained independently associated with higher levels in seven of these eight clusters (P < 0.05 in each cluster). The metabolic abnormalities were less pronounced in persons with ONAP or affective psychosis. CONCLUSIONS: Our findings suggest that specific metabolic abnormalities related to glucoregulatory processes and proline metabolism are specifically associated with schizophrenia and reflect two different disease-related pathways. Metabolomics, which is sensitive to both genetic and environmental variation, may become a powerful tool in psychiatric research to investigate disease susceptibility, clinical course, and treatment response.
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spelling pubmed-30921042011-05-12 Metabolome in schizophrenia and other psychotic disorders: a general population-based study Orešič, Matej Tang, Jing Seppänen-Laakso, Tuulikki Mattila, Ismo Saarni, Suoma E Saarni, Samuli I Lönnqvist, Jouko Sysi-Aho, Marko Hyötyläinen, Tuulia Perälä, Jonna Suvisaari, Jaana Genome Med Research BACKGROUND: Persons with schizophrenia and other psychotic disorders have a high prevalence of obesity, impaired glucose tolerance, and lipid abnormalities, particularly hypertriglyceridemia and low high-density lipoprotein. More detailed molecular information on the metabolic abnormalities may reveal clues about the pathophysiology of these changes, as well as about disease specificity. METHODS: We applied comprehensive metabolomics in serum samples from a general population-based study in Finland. The study included all persons with DSM-IV primary psychotic disorder (schizophrenia, n = 45; other non-affective psychosis (ONAP), n = 57; affective psychosis, n = 37) and controls matched by age, sex, and region of residence. Two analytical platforms for metabolomics were applied to all serum samples: a global lipidomics platform based on ultra-performance liquid chromatography coupled to mass spectrometry, which covers molecular lipids such as phospholipids and neutral lipids; and a platform for small polar metabolites based on two-dimensional gas chromatography coupled to time-of-flight mass spectrometry (GC × GC-TOFMS). RESULTS: Compared with their matched controls, persons with schizophrenia had significantly higher metabolite levels in six lipid clusters containing mainly saturated triglycerides, and in two small-molecule clusters containing, among other metabolites, (1) branched chain amino acids, phenylalanine and tyrosine, and (2) proline, glutamic, lactic and pyruvic acids. Among these, serum glutamic acid was elevated in all psychoses (P = 0.0020) compared to controls, while proline upregulation (P = 0.000023) was specific to schizophrenia. After adjusting for medication and metabolic comorbidity in linear mixed models, schizophrenia remained independently associated with higher levels in seven of these eight clusters (P < 0.05 in each cluster). The metabolic abnormalities were less pronounced in persons with ONAP or affective psychosis. CONCLUSIONS: Our findings suggest that specific metabolic abnormalities related to glucoregulatory processes and proline metabolism are specifically associated with schizophrenia and reflect two different disease-related pathways. Metabolomics, which is sensitive to both genetic and environmental variation, may become a powerful tool in psychiatric research to investigate disease susceptibility, clinical course, and treatment response. BioMed Central 2011-03-23 /pmc/articles/PMC3092104/ /pubmed/21429189 http://dx.doi.org/10.1186/gm233 Text en Copyright ©2011 Orešič et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Orešič, Matej
Tang, Jing
Seppänen-Laakso, Tuulikki
Mattila, Ismo
Saarni, Suoma E
Saarni, Samuli I
Lönnqvist, Jouko
Sysi-Aho, Marko
Hyötyläinen, Tuulia
Perälä, Jonna
Suvisaari, Jaana
Metabolome in schizophrenia and other psychotic disorders: a general population-based study
title Metabolome in schizophrenia and other psychotic disorders: a general population-based study
title_full Metabolome in schizophrenia and other psychotic disorders: a general population-based study
title_fullStr Metabolome in schizophrenia and other psychotic disorders: a general population-based study
title_full_unstemmed Metabolome in schizophrenia and other psychotic disorders: a general population-based study
title_short Metabolome in schizophrenia and other psychotic disorders: a general population-based study
title_sort metabolome in schizophrenia and other psychotic disorders: a general population-based study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3092104/
https://www.ncbi.nlm.nih.gov/pubmed/21429189
http://dx.doi.org/10.1186/gm233
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