药物重新定位
孟德尔随机化
可药性
生物
计算生物学
重新调整用途
疾病
药品
基因
药物发现
鉴定(生物学)
基因组学
候选基因
生物信息学
全基因组关联研究
遗传学
药理学
医学
基因组
遗传变异
单核苷酸多态性
内科学
生态学
植物
基因型
作者
Hannah M. Seagle,Alexis T. Akerele,Joseph A. DeCorte,Jacklyn N. Hellwege,Joseph H. Breeyear,Jeewoo Kim,Michael G. Levin,Samuel Khodursky,Adam P. Bress,Kyung Min Lee,Jens Meiler,Dipender Gill,Jennifer S. Lee,Kent Heberer,Donald R. Miller,Peter D. Reaven,Kyong‐Mi Chang,Julie A. Lynch,Nikhil K. Khankari,Megan M. Shuey
标识
DOI:10.1016/j.ajhg.2025.06.014
摘要
Identification of drug-repurposing targets with genetic and biological support is an economically and temporally efficient strategy for improving the treatment of diseases. We employed a cross-disciplinary approach to identify potential therapeutics for the prevention of metabolic-dysfunction-associated steatotic liver disease (MASLD) in at-risk individuals by using humans as a model organism. We identified 212 putative candidate genes associated with MASLD by using data from a large multi-ancestry genetic association study, of which 158 (74.5%) were previously unreported. From this set, we identified 57 genes that encode for druggable protein targets and for which the effects of increasing genetically predicted gene expression on MASLD risk align with the function of that drug on the protein target. We then used We then evaluated these potential targets for evidence of efficacy by using Mendelian randomization, pathway analysis, and protein structural modeling. Through these approaches, we present compelling evidence to suggest that the activation of FADS1 by icosapent ethyl, as well as S1PR2 by fingolimod, could be a promising therapeutic strategy for MASLD prevention.
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