人类多能干细胞(hPSC)衍生模型用于自闭症谱系障碍药物发现。

IF 6 2区 医学 Q1 PHARMACOLOGY & PHARMACY
Lingdi Nie, Courtney Irwin, Sarah Geahchan, Karun K Singh
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引用次数: 0

摘要

自闭症谱系障碍(ASD)是一种普遍而复杂的神经发育障碍(NDD),具有遗传和环境根源。目前,还没有针对ASD核心特征的有效药物治疗方法。这导致ASD患者的医疗需求未得到满足,需要相关的人类疾病模型来概括遗传和临床异质性,以更好地了解潜在的机制并确定潜在的药物治疗方法。干细胞技术的最新进展使人类多能干细胞(hPSC)衍生的二维(2D)和三维(3D)神经模型成为ASD建模和药物发现的有力工具。本文综述了hpsc衍生的2D和3D神经模型在利用药理学扰动和药物筛选研究各种形式ASD中的应用,强调了这些模型在开发新的ASD药物治疗策略方面的潜在用途。专家意见:hpsc衍生的模型概括了早期人类大脑的时空发育,并允许使用先进的分子技术进行患者特异性机制研究和治疗开发,这将有助于ASD治疗的精准医学。基于hpsc的模型仍然需要改进,以进一步增强其在ASD药物发现中的生理相关性、临床翻译和可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human pluripotent stem cell (hPSC)-derived models for autism spectrum disorder drug discovery.

Introduction: Autism spectrum disorder (ASD) is a prevalent and complex neurodevelopmental disorder (NDD) with genetic and environmental origins. Currently, there are no effective pharmacological treatments targeting core ASD features. This leads to unmet medical needs of individuals with ASD and requires relevant human disease models recapitulating genetic and clinical heterogeneity to better understand underlying mechanisms and identify potential pharmacological therapies. Recent advancements in stem cell technology have enabled the generation of human pluripotent stem cell (hPSC)-derived two-dimensional (2D) and three-dimensional (3D) neural models, which serve as powerful tools for ASD modeling and drug discovery.

Areas covered: This article reviews the applications of hPSC-derived 2D and 3D neural models in studying various forms of ASD using pharmacological perturbation and drug screenings, highlighting the potential use of these models to develop novel pharmacological treatment strategies for ASD.

Expert opinion: hPSC-derived models recapitulate early human brain development spatiotemporally and have allowed patient-specific mechanistic investigation and therapeutic development using advanced molecular technologies, which will contribute to precision medicine for ASD therapy. Improvements are still required in hPSC-based models to further enhance their physiological relevance, clinical translation, and scalability for ASD drug discovery.

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来源期刊
CiteScore
10.20
自引率
1.60%
发文量
78
审稿时长
6-12 weeks
期刊介绍: Expert Opinion on Drug Discovery (ISSN 1746-0441 [print], 1746-045X [electronic]) is a MEDLINE-indexed, peer-reviewed, international journal publishing review articles on novel technologies involved in the drug discovery process, leading to new leads and reduced attrition rates. Each article is structured to incorporate the author’s own expert opinion on the scope for future development. The Editors welcome: Reviews covering chemoinformatics; bioinformatics; assay development; novel screening technologies; in vitro/in vivo models; structure-based drug design; systems biology Drug Case Histories examining the steps involved in the preclinical and clinical development of a particular drug The audience consists of scientists and managers in the healthcare and pharmaceutical industry, academic pharmaceutical scientists and other closely related professionals looking to enhance the success of their drug candidates through optimisation at the preclinical level.
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