{"title":"Efficient Silencing of Androgen Receptor Gene via UTR-Targeting siRNAs for Androgenetic Alopecia Therapy.","authors":"Di Feng,Xinli Fan,Yuqiang Hu,Yizhi Man,Qian Wang,Yanmin Song,Jingjing Zhou,Jin Zhang,Yun Luo,Jing Wang,Xinjing Tang","doi":"10.1021/acs.jmedchem.5c01739","DOIUrl":null,"url":null,"abstract":"Androgenetic alopecia (AGA) is predominantly driven by excessive local activity of dihydrotestosterone (DHT), leading to follicular miniaturization and progressive hair loss. The need for novel treatment strategies for AGA is emphasized by the side effects and postoperative sequelae of current therapeutic approaches, including pharmacological interventions and surgical procedures. Small-interfering RNAs (siRNAs) have emerged as promising therapeutic candidates due to their target specificity, the enhanced efficacy, and long-term effect. Here, we screened a series of siRNA sequences targeting non-coding region of androgen receptor (AR) gene and identified a lead siRNA candidate (AR-27) conserved betweenHomo sapiens andMus musculus. The chemically modified and cholesterol-conjugated candidate (AR-27 E-Chol) was evaluated in both cells and DHT-induced AGA mice model. AR-27 E-Chol effectively stimulated dorsal hair regrowth and significantly downregulated AR gene expression in skin tissues. These findings support the clinical potential of AR-27 E-Chol as an effective therapeutic candidate for AGA.","PeriodicalId":46,"journal":{"name":"Journal of Medicinal Chemistry","volume":"42 1","pages":""},"PeriodicalIF":6.8000,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medicinal Chemistry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1021/acs.jmedchem.5c01739","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
引用次数: 0
Abstract
Androgenetic alopecia (AGA) is predominantly driven by excessive local activity of dihydrotestosterone (DHT), leading to follicular miniaturization and progressive hair loss. The need for novel treatment strategies for AGA is emphasized by the side effects and postoperative sequelae of current therapeutic approaches, including pharmacological interventions and surgical procedures. Small-interfering RNAs (siRNAs) have emerged as promising therapeutic candidates due to their target specificity, the enhanced efficacy, and long-term effect. Here, we screened a series of siRNA sequences targeting non-coding region of androgen receptor (AR) gene and identified a lead siRNA candidate (AR-27) conserved betweenHomo sapiens andMus musculus. The chemically modified and cholesterol-conjugated candidate (AR-27 E-Chol) was evaluated in both cells and DHT-induced AGA mice model. AR-27 E-Chol effectively stimulated dorsal hair regrowth and significantly downregulated AR gene expression in skin tissues. These findings support the clinical potential of AR-27 E-Chol as an effective therapeutic candidate for AGA.
期刊介绍:
The Journal of Medicinal Chemistry is a prestigious biweekly peer-reviewed publication that focuses on the multifaceted field of medicinal chemistry. Since its inception in 1959 as the Journal of Medicinal and Pharmaceutical Chemistry, it has evolved to become a cornerstone in the dissemination of research findings related to the design, synthesis, and development of therapeutic agents.
The Journal of Medicinal Chemistry is recognized for its significant impact in the scientific community, as evidenced by its 2022 impact factor of 7.3. This metric reflects the journal's influence and the importance of its content in shaping the future of drug discovery and development. The journal serves as a vital resource for chemists, pharmacologists, and other researchers interested in the molecular mechanisms of drug action and the optimization of therapeutic compounds.