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首页> 外文期刊>Annals of the New York Academy of Sciences >Human pluripotent stem cell-derived models and drug screening in CNS precision medicine
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Human pluripotent stem cell-derived models and drug screening in CNS precision medicine

机译:CNS精密医学中的人多能干细胞衍生的模型和药物筛选

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摘要

Development of effective therapeutics for neurological disorders has historically been challenging partly because of lack of accurate model systems in which to investigate disease etiology and test new therapeutics at the preclinical stage. Human stem cells, particularly patient-derived induced pluripotent stem cells (iPSCs) upon differentiation, have the ability to recapitulate aspects of disease pathophysiology and are increasingly recognized as robust scalable systems for drug discovery. We review advances in deriving cellular models of human central nervous system (CNS) disorders using iPSCs along with strategies for investigating disease-relevant phenotypes, translatable biomarkers, and therapeutic targets. Given their potential to identify novel therapeutic targets and leads, we focus on phenotype-based, small-molecule screens employing human stem cell-derived models. Integrated efforts to assemble patient iPSC-derived cell models with deeply annotated clinicopathological data, along with molecular and drug-response signatures, may aid in the stratification of patients, diagnostics, and clinical trial success, shifting translational science and precision medicine approaches. A number of remaining challenges, including the optimization of cost-effective, large-scale culture of iPSC-derived cell types, incorporation of aging into neuronal models, as well as robustness and automation of phenotypic assays to support quantitative drug efficacy, toxicity, and metabolism testing workflows, are covered. Continued advancement of the field is expected to help fully humanize the process of CNS drug discovery.
机译:由于缺乏准确的模型系统,在历史上,神经障碍有效治疗的发展是历史上的挑战,这些系统缺乏调查疾病病因和在临床前阶段测试新的治疗方法。人干细胞,特别是患者衍生的诱导的多能干细胞(IPSC)在分化时具有重新携带病理生理学的方面的能力,并且越来越被认为是用于药物发现的鲁棒可扩展系统。我们审查使用IPSCS衍生人体神经系统(CNS)疾病的细胞模型的进展以及调查疾病相关表型,可翻译的生物标志物和治疗目标的策略。鉴于潜力识别新的治疗靶点和铅,我们专注于采用人干细胞衍生模型的基于表型的小分子筛选。将患者IPSC衍生的细胞模型组合综合努力,具有深入注释的临床病理数据,以及分子和药物反应签名,可以帮助患者,诊断和临床试验成功的分层,转化翻译科学和精密药方法。一些剩余挑战,包括优化成本效益,大规模培养的IPSC衍生的细胞类型,将老化掺入神经元模型,以及表型测定的鲁棒性和自动化,以支持定量药物功效,毒性和所涵盖新陈代谢测试工作流程。预计该领域的持续发展有助于充分拟人化CNS药物发现的过程。

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