Whole transcriptome in silico screening implicates cardiovascular and infectious disease in the mechanism of action underlying atypical antipsychotic side effects.

RNA‐seq amisulpride antipsychotic brain derived neurotrophic factor cardiovascular immune platelet derived growth factor risperidone selenium side effects tumor necrosis factor

Journal

Alzheimer's & dementia (New York, N. Y.)
ISSN: 2352-8737
Titre abrégé: Alzheimers Dement (N Y)
Pays: United States
ID NLM: 101650118

Informations de publication

Date de publication:
2020
Historique:
received: 04 05 2020
revised: 09 07 2020
accepted: 28 07 2020
entrez: 1 9 2020
pubmed: 31 8 2020
medline: 31 8 2020
Statut: epublish

Résumé

Stroke/thromboembolic events, infections, and death are all significantly increased by antipsychotics in dementia but little is known about why they can be harmful. Using a novel application of a drug repurposing paradigm, we aimed to identify potential mechanisms underlying adverse events. Whole transcriptome signatures were generated for SH-SY5Y cells treated with amisulpride, risperidone, and volinanserin using RNA sequencing. Bioinformatic analysis was performed that scored the association between antipsychotic signatures and expression data from 415,252 samples in the National Center for Biotechnology Information Gene Expression Omnibus (NCBI GEO) repository. Atherosclerosis, venous thromboembolism, and influenza NCBI GEO-derived samples scored positively against antipsychotic signatures. Pathways enriched in antipsychotic signatures were linked to the cardiovascular and immune systems (eg, brain derived neurotrophic factor [BDNF], platelet derived growth factor receptor [PDGFR]-beta, tumor necrosis factor [TNF], transforming growth factor [TGF]-beta, selenoamino acid metabolism, and influenza infection). These findings for the first time mechanistically link antipsychotics to specific cardiovascular and infectious diseases which are known side effects of their use in dementia, providing new information to explain related adverse events.

Sections du résumé

BACKGROUND BACKGROUND
Stroke/thromboembolic events, infections, and death are all significantly increased by antipsychotics in dementia but little is known about why they can be harmful. Using a novel application of a drug repurposing paradigm, we aimed to identify potential mechanisms underlying adverse events.
METHODS METHODS
Whole transcriptome signatures were generated for SH-SY5Y cells treated with amisulpride, risperidone, and volinanserin using RNA sequencing. Bioinformatic analysis was performed that scored the association between antipsychotic signatures and expression data from 415,252 samples in the National Center for Biotechnology Information Gene Expression Omnibus (NCBI GEO) repository.
RESULTS RESULTS
Atherosclerosis, venous thromboembolism, and influenza NCBI GEO-derived samples scored positively against antipsychotic signatures. Pathways enriched in antipsychotic signatures were linked to the cardiovascular and immune systems (eg, brain derived neurotrophic factor [BDNF], platelet derived growth factor receptor [PDGFR]-beta, tumor necrosis factor [TNF], transforming growth factor [TGF]-beta, selenoamino acid metabolism, and influenza infection).
CONCLUSIONS CONCLUSIONS
These findings for the first time mechanistically link antipsychotics to specific cardiovascular and infectious diseases which are known side effects of their use in dementia, providing new information to explain related adverse events.

Identifiants

pubmed: 32864416
doi: 10.1002/trc2.12078
pii: TRC212078
pmc: PMC7443741
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e12078

Subventions

Organisme : Medical Research Council
ID : MC_PC_16072
Pays : United Kingdom

Informations de copyright

© 2020 The Authors. Alzheimer's & Dementia: Translational Research & Clinical Interventions published by Wiley Periodicals LLC on behalf of Alzheimer's Association.

Déclaration de conflit d'intérêts

CB has received grants and personal fees from ACADIA Pharmaceuticals and Lundbeck, and personal fees from Heptares, Roche, Lilly, Otsuka, Orion, GlaxoSmithKline, and Pfizer. DAC is an employee of Eli Lilly and Company Ltd.

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Auteurs

Yasaman Malekizadeh (Y)

College of Medicine and Health University of Exeter Medical School University of Exeter Exeter UK.

Gareth Williams (G)

College of Engineering Mathematics and Physical Sciences University of Exeter Exeter UK.

Mark Kelson (M)

Wolfson Centre for Age-Related Disease Institute of Psychiatry, Psychology and Neuroscience King's College London London UK.

David Whitfield (D)

College of Medicine and Health University of Exeter Medical School University of Exeter Exeter UK.

Jonathan Mill (J)

College of Medicine and Health University of Exeter Medical School University of Exeter Exeter UK.

David A Collier (DA)

Eli Lilly and Company Ltd Erl Wood Manor Surrey UK.

Clive Ballard (C)

College of Medicine and Health University of Exeter Medical School University of Exeter Exeter UK.

Aaron R Jeffries (AR)

College of Medicine and Health University of Exeter Medical School University of Exeter Exeter UK.

Byron Creese (B)

College of Medicine and Health University of Exeter Medical School University of Exeter Exeter UK.

Classifications MeSH