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建立具有不同色素沉着的皮肤模型,以预测不同人群对药物反应的变异性。

Implementing differentially pigmented skin models for predicting drug response variability across human ancestries.

机构信息

Cornell Tech, New York, NY, USA.

University of California Riverside, Riverside, CA, USA.

出版信息

Hum Genomics. 2024 Oct 9;18(1):113. doi: 10.1186/s40246-024-00677-7.

Abstract

Persistent racial disparities in health outcomes have catalyzed legislative reforms and heightened scientific focus recently. However, despite the well-documented properties of skin pigments in binding drug compounds, their impact on therapeutic efficacy and adverse drug responses remains insufficiently explored. This perspective examines the intricate relationships between variation in melanin-based skin pigmentation and pharmacokinetics and -dynamics, highlighting the need for considering diversity in skin pigmentation as a variable to advance the equitability of pharmacological interventions. The article provides guidelines on the selection of New Approach Methods (NAMs) to foster inclusive study designs in preclinical drug development pipelines, leading to an improved level of translatability to the clinic.

摘要

最近,持续存在的健康结果方面的种族差异促使立法改革和科学研究更加关注这一问题。然而,尽管皮肤色素在结合药物化合物方面的特性有充分的记录,但它们对治疗效果和药物不良反应的影响仍未得到充分探索。本观点审视了黑素基皮肤色素沉着的变异与药代动力学和药效动力学之间的复杂关系,强调需要考虑皮肤色素沉着的多样性作为一个变量,以促进药物干预的公平性。本文提供了关于选择新方法(NAMs)的指导原则,以促进临床前药物开发管道中包容性研究设计,从而提高向临床转化的水平。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1cf/11465898/70a4f35d3a66/40246_2024_677_Fig1_HTML.jpg

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