Your browser doesn't support javascript.
loading
Effect of polygenic risk for schizophrenia on cardiac structure and function: a UK Biobank observational study.
Pillinger, Toby; Osimo, Emanuele F; de Marvao, Antonio; Shah, Mit; Francis, Catherine; Huang, Jian; D'Ambrosio, Enrico; Firth, Joseph; Nour, Matthew M; McCutcheon, Robert A; Pardiñas, Antonio F; Matthews, Paul M; O'Regan, Declan P; Howes, Oliver D.
Afiliación
  • Pillinger T; Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, King's College London, London, UK; Psychiatric Imaging Group, Imperial College London, London, UK. Electronic address: toby.pillinger@kcl.ac.uk.
  • Osimo EF; Department of Psychiatry, University of Cambridge, Cambridge, UK; Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK; Psychiatric Imaging Group, Imperial College London, London, UK.
  • de Marvao A; British Heart Foundation Centre of Research Excellence, School of Cardiovascular Medicine and Sciences, King's College London, London, UK; Department of Women and Children's Health, King's College London, London, UK.
  • Shah M; Computational Cardiac Imaging Group, Imperial College London, London, UK.
  • Francis C; MRC London Institute of Medical Sciences, Department of Cardiovascular Genetics and Genomics, National Heart and Lung Institute, Imperial College London, London, UK; Royal Brompton Hospital, Royal Brompton and Harefield NHS Foundation Trust, Uxbridge, UK.
  • Huang J; Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK; Singapore Institute for Clinical Sciences (SICS), the Agency for Science, Technology and Research (A*STAR), Singapore.
  • D'Ambrosio E; Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, King's College London, London, UK; Department of Translational Biomedicine and Neuroscience (DiBraiN), University of Bari 'Aldo Moro', Italy.
  • Firth J; Division of Psychology and Mental Health, University of Manchester, and Greater Manchester Mental Health NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
  • Nour MM; Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, King's College London, London, UK; Max Planck University College London Centre for Computational Psychiatry and Ageing Research, and Wellcome Trust Centre for Human Neuroimaging, University College London, London,
  • McCutcheon RA; Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, King's College London, London, UK; Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK.
  • Pardiñas AF; MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK.
  • Matthews PM; Department of Brain Sciences and UK Dementia Research Institute Centre, Imperial College London, London, UK.
  • O'Regan DP; Computational Cardiac Imaging Group, Imperial College London, London, UK.
  • Howes OD; Department of Psychological Medicine, King's College London, London, UK; Psychiatric Imaging Group, Imperial College London, London, UK; H Lundbeck A/S, St Albans, UK.
Lancet Psychiatry ; 10(2): 98-107, 2023 02.
Article en En | MEDLINE | ID: mdl-36632818
ABSTRACT

BACKGROUND:

Cardiovascular disease is a major cause of excess mortality in people with schizophrenia. Several factors are responsible, including lifestyle and metabolic effects of antipsychotics. However, variations in cardiac structure and function are seen in people with schizophrenia in the absence of cardiovascular disease risk factors and after accounting for lifestyle and medication. Therefore, we aimed to explore whether shared genetic causes contribute to these cardiac variations.

METHODS:

For this observational study, we used data from the UK Biobank and included White British or Irish individuals without diagnosed schizophrenia with variable polygenic risk scores for the condition. To test the association between polygenic risk score for schizophrenia and cardiac phenotype, we used principal component analysis and regression. Robust regression was then used to explore the association between the polygenic risk score for schizophrenia and individual cardiac phenotypes. We repeated analyses with fibro-inflammatory pathway-specific polygenic risk scores for schizophrenia. Last, we investigated genome-wide sharing of common variants between schizophrenia and cardiac phenotypes using linkage disequilibrium score regression. The primary outcome was principal component regression.

FINDINGS:

Of 33 353 individuals recruited, 32 279 participants had complete cardiac MRI data and were included in the analysis, of whom 16 625 (51·5%) were female and 15 654 (48·5%) were male. 1074 participants were excluded on the basis of incomplete cardiac MRI data (for all phenotypes). A model regressing polygenic risk scores for schizophrenia onto the first five cardiac principal components of the principal components analysis was significant (F=5·09; p=0·00012). Principal component 1 captured a pattern of increased cardiac volumes, increased absolute peak diastolic strain rates, and reduced ejection fractions; polygenic risk scores for schizophrenia and principal component 1 were negatively associated (ß=-0·01 [SE 0·003]; p=0·017). Similar to the principal component analysis results, for individual cardiac phenotypes, we observed negative associations between polygenic risk scores for schizophrenia and indexed right ventricular end-systolic volume (ß=-0·14 [0·04]; p=0·0013, pFDR=0·015), indexed right ventricular end-diastolic volume (ß=-0·17 [0·08]); p=0·025; pFDR=0·082), and absolute longitudinal peak diastolic strain rates (ß=-0·01 [0·003]; p=0·0024, pFDR=0·015), and a positive association between polygenic risk scores for schizophrenia and right ventricular ejection fraction (ß=0·09 [0·03]; p=0·0041, pFDR=0·015). Models examining the transforming growth factor-ß (TGF-ß)-specific and acute inflammation-specific polygenic risk scores for schizophrenia found significant associations with the first five principal components (F=2·62, p=0·022; F=2·54, p=0·026). Using linkage disequilibrium score regression, we observed genetic overlap with schizophrenia for right ventricular end-systolic volume and right ventricular ejection fraction (p=0·0090, p=0·0077).

INTERPRETATION:

High polygenic risk scores for schizophrenia are associated with decreased cardiac volumes, increased ejection fractions, and decreased absolute peak diastolic strain rates. TGF-ß and inflammatory pathways might be implicated, and there is evidence of genetic overlap for some cardiac phenotypes. Reduced absolute peak diastolic strain rates indicate increased myocardial stiffness and diastolic dysfunction, which increases risk of cardiac disease. Thus, genetic risk for schizophrenia is associated with cardiac structural changes that can worsen cardiac outcomes. Further work is required to determine whether these associations are specific to schizophrenia or are also seen in other psychiatric conditions.

FUNDING:

National Institute for Health Research, Maudsley Charity, Wellcome Trust, Medical Research Council, Academy of Medical Sciences, Edmond J Safra Foundation, British Heart Foundation.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Esquizofrenia / Enfermedades Cardiovasculares Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male País/Región como asunto: Europa Idioma: En Revista: Lancet Psychiatry Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Esquizofrenia / Enfermedades Cardiovasculares Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male País/Región como asunto: Europa Idioma: En Revista: Lancet Psychiatry Año: 2023 Tipo del documento: Article