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Schizophrenia and cardiometabolic abnormalities: A Mendelian randomization study
Background: Individuals with a diagnosis of schizophrenia are known to be at high risk of premature mortality due to poor physical health, especially cardiovascular disease, diabetes, and obesity. The reasons for these physical health outcomes within this patient population are complex. Despite well...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10115959/ https://www.ncbi.nlm.nih.gov/pubmed/37091807 http://dx.doi.org/10.3389/fgene.2023.1150458 |
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author | Saadullah Khani, Noushin Cotic, Marius Wang, Baihan Abidoph, Rosemary Mills, Georgina Richards-Belle, Alvin Perry, Benjamin I. Khandaker, Golam M. Bramon, Elvira |
author_facet | Saadullah Khani, Noushin Cotic, Marius Wang, Baihan Abidoph, Rosemary Mills, Georgina Richards-Belle, Alvin Perry, Benjamin I. Khandaker, Golam M. Bramon, Elvira |
author_sort | Saadullah Khani, Noushin |
collection | PubMed |
description | Background: Individuals with a diagnosis of schizophrenia are known to be at high risk of premature mortality due to poor physical health, especially cardiovascular disease, diabetes, and obesity. The reasons for these physical health outcomes within this patient population are complex. Despite well-documented cardiometabolic adverse effects of certain antipsychotic drugs and lifestyle factors, schizophrenia may have an independent effect. Aims: To investigate if there is evidence that schizophrenia is causally related to cardiometabolic traits (blood lipids, anthropometric traits, glycaemic traits, blood pressure) and vice versa using bi-directional two-sample Mendelian randomization (MR) analysis. Methods: We used 185 genetic variants associated with schizophrenia from the latest Psychiatric Genomics Consortium GWAS (n = 130,644) in the forward analysis (schizophrenia to cardiometabolic traits) and genetic variants associated with the cardiometabolic traits from various consortia in the reverse analysis (cardiometabolic traits to schizophrenia), both at genome-wide significance (5 × 10(−8)). The primary method was inverse-variance weighted MR, supported by supplementary methods such as MR-Egger, as well as median and mode-based methods. Results: In the forward analysis, schizophrenia was associated with slightly higher low-density lipoprotein (LDL) cholesterol levels (0.013 SD change in LDL per log odds increase in schizophrenia risk, 95% CI, 0.001–0.024 SD; p = 0.027) and total cholesterol levels (0.013 SD change in total cholesterol per log odds increase in schizophrenia risk, 95% CI, 0.002–0.025 SD; p = 0.023). However, these associations did not survive multiple testing corrections. There was no evidence of a causal effect of cardiometabolic traits on schizophrenia in the reverse analysis. Discussion: Dyslipidemia and obesity in schizophrenia patients are unlikely to be driven primarily by schizophrenia itself. Therefore, lifestyle, diet, antipsychotic drugs side effects, as well as shared mechanisms for metabolic dysfunction and schizophrenia such as low-grade systemic inflammation could be possible reasons for the apparent increased risk of metabolic disease in people with schizophrenia. Further research is needed to examine the shared immune mechanism hypothesis. |
format | Online Article Text |
id | pubmed-10115959 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101159592023-04-21 Schizophrenia and cardiometabolic abnormalities: A Mendelian randomization study Saadullah Khani, Noushin Cotic, Marius Wang, Baihan Abidoph, Rosemary Mills, Georgina Richards-Belle, Alvin Perry, Benjamin I. Khandaker, Golam M. Bramon, Elvira Front Genet Genetics Background: Individuals with a diagnosis of schizophrenia are known to be at high risk of premature mortality due to poor physical health, especially cardiovascular disease, diabetes, and obesity. The reasons for these physical health outcomes within this patient population are complex. Despite well-documented cardiometabolic adverse effects of certain antipsychotic drugs and lifestyle factors, schizophrenia may have an independent effect. Aims: To investigate if there is evidence that schizophrenia is causally related to cardiometabolic traits (blood lipids, anthropometric traits, glycaemic traits, blood pressure) and vice versa using bi-directional two-sample Mendelian randomization (MR) analysis. Methods: We used 185 genetic variants associated with schizophrenia from the latest Psychiatric Genomics Consortium GWAS (n = 130,644) in the forward analysis (schizophrenia to cardiometabolic traits) and genetic variants associated with the cardiometabolic traits from various consortia in the reverse analysis (cardiometabolic traits to schizophrenia), both at genome-wide significance (5 × 10(−8)). The primary method was inverse-variance weighted MR, supported by supplementary methods such as MR-Egger, as well as median and mode-based methods. Results: In the forward analysis, schizophrenia was associated with slightly higher low-density lipoprotein (LDL) cholesterol levels (0.013 SD change in LDL per log odds increase in schizophrenia risk, 95% CI, 0.001–0.024 SD; p = 0.027) and total cholesterol levels (0.013 SD change in total cholesterol per log odds increase in schizophrenia risk, 95% CI, 0.002–0.025 SD; p = 0.023). However, these associations did not survive multiple testing corrections. There was no evidence of a causal effect of cardiometabolic traits on schizophrenia in the reverse analysis. Discussion: Dyslipidemia and obesity in schizophrenia patients are unlikely to be driven primarily by schizophrenia itself. Therefore, lifestyle, diet, antipsychotic drugs side effects, as well as shared mechanisms for metabolic dysfunction and schizophrenia such as low-grade systemic inflammation could be possible reasons for the apparent increased risk of metabolic disease in people with schizophrenia. Further research is needed to examine the shared immune mechanism hypothesis. Frontiers Media S.A. 2023-04-06 /pmc/articles/PMC10115959/ /pubmed/37091807 http://dx.doi.org/10.3389/fgene.2023.1150458 Text en Copyright © 2023 Saadullah Khani, Cotic, Wang, Abidoph, Mills, Richards-Belle, Perry, Khandaker and Bramon. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Saadullah Khani, Noushin Cotic, Marius Wang, Baihan Abidoph, Rosemary Mills, Georgina Richards-Belle, Alvin Perry, Benjamin I. Khandaker, Golam M. Bramon, Elvira Schizophrenia and cardiometabolic abnormalities: A Mendelian randomization study |
title | Schizophrenia and cardiometabolic abnormalities: A Mendelian randomization study |
title_full | Schizophrenia and cardiometabolic abnormalities: A Mendelian randomization study |
title_fullStr | Schizophrenia and cardiometabolic abnormalities: A Mendelian randomization study |
title_full_unstemmed | Schizophrenia and cardiometabolic abnormalities: A Mendelian randomization study |
title_short | Schizophrenia and cardiometabolic abnormalities: A Mendelian randomization study |
title_sort | schizophrenia and cardiometabolic abnormalities: a mendelian randomization study |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10115959/ https://www.ncbi.nlm.nih.gov/pubmed/37091807 http://dx.doi.org/10.3389/fgene.2023.1150458 |
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