Your browser doesn't support javascript.
loading
Methylome-wide association study of antidepressant use in Generation Scotland and the Netherlands Twin Register implicates the innate immune system.
Barbu, Miruna C; Huider, Floris; Campbell, Archie; Amador, Carmen; Adams, Mark J; Lynall, Mary-Ellen; Howard, David M; Walker, Rosie M; Morris, Stewart W; Van Dongen, Jenny; Porteous, David J; Evans, Kathryn L; Bullmore, Edward; Willemsen, Gonneke; Boomsma, Dorret I; Whalley, Heather C; McIntosh, Andrew M.
Afiliação
  • Barbu MC; Division of Psychiatry, The University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK. mbarbu@ed.ac.uk.
  • Huider F; Faculty of Behavioural and Movement Sciences, Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
  • Campbell A; Centre for Genomic and Experimental Medicine, The Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.
  • Amador C; MRC Human Genetics Unit, The Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.
  • Adams MJ; Division of Psychiatry, The University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.
  • Lynall ME; Department of Psychiatry, University of Cambridge, Cambridge, UK.
  • Howard DM; Division of Psychiatry, The University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.
  • Walker RM; Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
  • Morris SW; Centre for Genomic and Experimental Medicine, The Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.
  • Van Dongen J; Centre for Genomic and Experimental Medicine, The Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.
  • Porteous DJ; Faculty of Behavioural and Movement Sciences, Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
  • Evans KL; Centre for Genomic and Experimental Medicine, The Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.
  • Bullmore E; Centre for Genomic and Experimental Medicine, The Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.
  • Willemsen G; Department of Psychiatry, University of Cambridge, Cambridge, UK.
  • Boomsma DI; Faculty of Behavioural and Movement Sciences, Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
  • Whalley HC; Faculty of Behavioural and Movement Sciences, Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
  • McIntosh AM; Division of Psychiatry, The University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.
Mol Psychiatry ; 27(3): 1647-1657, 2022 03.
Article em En | MEDLINE | ID: mdl-34880450
ABSTRACT
Antidepressants are an effective treatment for major depressive disorder (MDD), although individual response is unpredictable and highly variable. Whilst the mode of action of antidepressants is incompletely understood, many medications are associated with changes in DNA methylation in genes that are plausibly linked to their mechanisms. Studies of DNA methylation may therefore reveal the biological processes underpinning the efficacy and side effects of antidepressants. We performed a methylome-wide association study (MWAS) of self-reported antidepressant use accounting for lifestyle factors and MDD in Generation Scotland (GSSFHS, N = 6428, EPIC array) and the Netherlands Twin Register (NTR, N = 2449, 450 K array) and ran a meta-analysis of antidepressant use across these two cohorts. We found ten CpG sites significantly associated with self-reported antidepressant use in GSSFHS, with the top CpG located within a gene previously associated with mental health disorders, ATP6V1B2 (ß = -0.055, pcorrected = 0.005). Other top loci were annotated to genes including CASP10, TMBIM1, MAPKAPK3, and HEBP2, which have previously been implicated in the innate immune response. Next, using penalised regression, we trained a methylation-based score of self-reported antidepressant use in a subset of 3799 GSSFHS individuals that predicted antidepressant use in a second subset of GSSFHS (N = 3360, ß = 0.377, p = 3.12 × 10-11, R2 = 2.12%). In an MWAS analysis of prescribed selective serotonin reuptake inhibitors, we showed convergent findings with those based on self-report. In NTR, we did not find any CpGs significantly associated with antidepressant use. The meta-analysis identified the two CpGs of the ten above that were common to the two arrays used as being significantly associated with antidepressant use, although the effect was in the opposite direction for one of them. Antidepressants were associated with epigenetic alterations in loci previously associated with mental health disorders and the innate immune system. These changes predicted self-reported antidepressant use in a subset of GSSFHS and identified processes that may be relevant to our mechanistic understanding of clinically relevant antidepressant drug actions and side effects.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas da Gravidez / Transtorno Depressivo Maior Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans País/Região como assunto: Europa Idioma: En Revista: Mol Psychiatry Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas da Gravidez / Transtorno Depressivo Maior Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans País/Região como assunto: Europa Idioma: En Revista: Mol Psychiatry Ano de publicação: 2022 Tipo de documento: Article