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2
Getting the Dose Right in Drug Development for Rare Diseases: Barriers and Enablers.在罕见病药物开发中把握剂量:障碍与促进因素。
Clin Pharmacol Ther. 2024 Dec;116(6):1412-1432. doi: 10.1002/cpt.3407. Epub 2024 Aug 16.
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Potential of pharmacogenetics in minimizing drug therapy problems in cystic fibrosis.药物遗传学在最小化囊性纤维化药物治疗问题中的潜力。
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The Role of Pharmacogenomics in Rare Diseases.药物基因组学在罕见病中的作用。
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Artificial intelligence in rare disease diagnosis and treatment.人工智能在罕见病诊断和治疗中的应用。
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10
Pharmacogenetic actionability and medication prescribing in people with cystic fibrosis.囊性纤维化患者的药物遗传学可操作性和药物处方。
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药物基因组学与罕见病:优化药物研发与个性化治疗

Pharmacogenomics and rare diseases: optimizing drug development and personalized therapeutics.

作者信息

Roman Youssef M

机构信息

Department of Pharmacy Practice and Administrative Sciences, L.S. Skaggs College of Pharmacy, Idaho State University, Meridian, ID, USA.

Clinical Pharmacy Services, Boise VA Medical Center, Boise, ID, USA.

出版信息

Pharmacogenomics. 2025 Feb-Mar;26(3-4):121-128. doi: 10.1080/14622416.2025.2490465. Epub 2025 Apr 7.

DOI:10.1080/14622416.2025.2490465
PMID:40194983
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12118430/
Abstract

Pharmacogenomics (PGx) is an evolving field that integrates genetic information into clinical decision-making to optimize drug therapy and minimize adverse drug reactions (ADRs). Its application in rare disease (RD) drug development is promising, given the genetic basis of many RDs and the need for precision medicine approaches. Despite significant advancements, challenges persist in developing effective therapies for RDs due to small patient populations, genetic heterogeneity, and limited surrogate biomarkers. The Orphan Drug Act in the U.S. has incentivized RD drug development. However, the traditional drug approval process is constrained by logistical and economic challenges, necessitating innovative PGx-driven strategies. Identifying genetic biomarkers in the early drug development stages can optimize dose selection, enhance therapeutic efficacy, and reduce ADRs. Case studies such as eliglustat for Gaucher disease and ivacaftor for cystic fibrosis demonstrate the efficacy of PGx-guided treatment strategies. Integrating PGx into global drug development requires the harmonization of regulatory policies and increased diversity in genetic research. Artificial intelligence (AI) tools further enhance genetic analysis, disease prediction, and clinical decision-making. Modernizing drug labeling with PGx information is critical to ensuring safe and effective drug use. Collectively, PGx offers transformative potential in RD therapeutics by facilitating personalized medicine approaches and addressing unmet medical needs.

摘要

药物基因组学(PGx)是一个不断发展的领域,它将遗传信息整合到临床决策中,以优化药物治疗并最大限度地减少药物不良反应(ADR)。鉴于许多罕见病(RD)的遗传基础以及对精准医学方法的需求,其在罕见病药物开发中的应用前景广阔。尽管取得了重大进展,但由于患者群体规模小、遗传异质性以及替代生物标志物有限,在开发有效的罕见病治疗方法方面仍然存在挑战。美国的《孤儿药法案》激励了罕见病药物的开发。然而,传统的药物审批过程受到后勤和经济挑战的限制,因此需要创新的由药物基因组学驱动的策略。在药物开发的早期阶段识别遗传生物标志物可以优化剂量选择、提高治疗效果并减少药物不良反应。诸如用于戈谢病的依利格鲁司他和用于囊性纤维化的依伐卡托等案例研究证明了药物基因组学指导的治疗策略的有效性。将药物基因组学整合到全球药物开发中需要协调监管政策并增加遗传研究的多样性。人工智能(AI)工具进一步增强了遗传分析、疾病预测和临床决策。用药物基因组学信息更新药物标签对于确保安全有效地使用药物至关重要。总体而言,药物基因组学通过促进个性化医学方法和满足未满足的医疗需求,在罕见病治疗中具有变革性潜力。