Advancing drug development for atrial fibrillation by prioritising findings from human genetic association studies.

IF 9.7 1区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
EBioMedicine Pub Date : 2024-07-01 Epub Date: 2024-06-27 DOI:10.1016/j.ebiom.2024.105194
Kishore Kukendrarajah, Aliki-Eleni Farmaki, Pier D Lambiase, Richard Schilling, Chris Finan, Amand Floriaan Schmidt, Rui Providencia
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引用次数: 0

Abstract

Background: Drug development for atrial fibrillation (AF) has failed to yield new approved compounds. We sought to identify and prioritise potential druggable targets with support from human genetics, by integrating the available evidence with bioinformatics sources relevant for AF drug development.

Methods: Genetic hits for AF and related traits were identified through structured search of MEDLINE. Genes derived from each paper were cross-referenced with the OpenTargets platform for drug interactions. Confirmation/validation was demonstrated through structured searches and review of evidence on MEDLINE and ClinialTrials.gov for each drug and its association with AF.

Findings: 613 unique drugs were identified, with 21 already included in AF Guidelines. Cardiovascular drugs from classes not currently used for AF (e.g. ranolazine and carperitide) and anti-inflammatory drugs (e.g. dexamethasone and mehylprednisolone) had evidence of potential benefit. Further targets were considered druggable but remain open for drug development.

Interpretation: Our systematic approach, combining evidence from different bioinformatics platforms, identified drug repurposing opportunities and druggable targets for AF.

Funding: KK is supported by Barts Charity grant G-002089 and is mentored on the AFGen 2023-24 Fellowship funded by the AFGen NIH/NHLBI grant R01HL092577. RP is supported by the UCL BHF Research Accelerator AA/18/6/34223 and NIHR grant NIHR129463. AFS is supported by the BHF grants PG/18/5033837, PG/22/10989 and UCL BHF Accelerator AA/18/6/34223 as well as the UK Research and Innovation (UKRI) under the UK government's Horizon Europe funding guarantee EP/Z000211/1 and by the UKRI-NIHR grant MR/V033867/1 for the Multimorbidity Mechanism and Therapeutics Research Collaboration. AF is supported by UCL BHF Accelerator AA/18/6/34223. CF is supported by UCL BHF Accelerator AA/18/6/34223.

优先考虑人类基因关联研究的结果,推进心房颤动药物的开发。
背景:心房颤动(房颤)的药物开发一直未能产生新的获批化合物。我们试图在人类遗传学的支持下,通过将现有证据与心房颤动药物开发相关的生物信息学资料进行整合,确定潜在的可药物靶点并对其进行优先排序:方法:通过对 MEDLINE 进行结构化搜索,确定房颤及相关性状的遗传命中率。将每篇论文中的基因与 OpenTargets 平台中的药物相互作用进行交叉引用。通过在 MEDLINE 和 ClinialTrials.gov 上对每种药物及其与心房颤动的关系进行结构化检索和证据审查,对结果进行确认/验证:结果:确定了 613 种独特的药物,其中 21 种已纳入房颤指南。目前未用于房颤的心血管类药物(如雷诺拉嗪和卡培利肽等)和抗炎药物(如地塞米松和甲基强的松龙等)有证据表明可能有益。更多靶点被认为是可药物治疗的,但仍有待药物开发:我们的系统方法结合了来自不同生物信息学平台的证据,确定了心房颤动的药物再利用机会和可药用靶点:KK得到了Barts慈善基金G-002089的支持,并接受了由AFGen NIH/NHLBI基金R01HL092577资助的AFGen 2023-24奖学金的指导。RP由UCL BHF研究加速器AA/18/6/34223和NIHR基金NIHR129463资助。AFS得到了英国卫生基金会(BHF)PG/18/5033837、PG/22/10989和UCL BHF加速器AA/18/6/34223的资助,以及英国政府 "地平线欧洲"(Horizon Europe)资助担保EP/Z000211/1下的英国研究与创新(UKRI)和UKRI-NIHR资助MR/V033867/1下的多病症机制与治疗研究合作项目的资助。AF 得到了 UCL BHF Accelerator AA/18/6/34223 的支持。CF由UCL BHF加速器AA/18/6/34223资助。
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来源期刊
EBioMedicine
EBioMedicine Biochemistry, Genetics and Molecular Biology-General Biochemistry,Genetics and Molecular Biology
CiteScore
17.70
自引率
0.90%
发文量
579
审稿时长
5 weeks
期刊介绍: eBioMedicine is a comprehensive biomedical research journal that covers a wide range of studies that are relevant to human health. Our focus is on original research that explores the fundamental factors influencing human health and disease, including the discovery of new therapeutic targets and treatments, the identification of biomarkers and diagnostic tools, and the investigation and modification of disease pathways and mechanisms. We welcome studies from any biomedical discipline that contribute to our understanding of disease and aim to improve human health.
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