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用于精准医疗流程的人诱导多能干细胞衍生脑模型的生理和临床相关性研究进展。

Advances in physiological and clinical relevance of hiPSC-derived brain models for precision medicine pipelines.

作者信息

Imani Farahani Negin, Lin Lisa, Nazir Shama, Naderi Alireza, Rokos Leanne, McIntosh Anthony Randal, Julian Lisa M

机构信息

Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada.

Centre for Cell Biology, Development, and Disease, Simon Fraser University, Burnaby, BC, Canada.

出版信息

Front Cell Neurosci. 2025 Jan 6;18:1478572. doi: 10.3389/fncel.2024.1478572. eCollection 2024.

Abstract

Precision, or personalized, medicine aims to stratify patients based on variable pathogenic signatures to optimize the effectiveness of disease prevention and treatment. This approach is favorable in the context of brain disorders, which are often heterogeneous in their pathophysiological features, patterns of disease progression and treatment response, resulting in limited therapeutic standard-of-care. Here we highlight the transformative role that human induced pluripotent stem cell (hiPSC)-derived neural models are poised to play in advancing precision medicine for brain disorders, particularly emerging innovations that improve the relevance of hiPSC models to human physiology. hiPSCs derived from accessible patient somatic cells can produce various neural cell types and tissues; current efforts to increase the complexity of these models, incorporating region-specific neural tissues and non-neural cell types of the brain microenvironment, are providing increasingly relevant insights into human-specific neurobiology. Continued advances in tissue engineering combined with innovations in genomics, high-throughput screening and imaging strengthen the physiological relevance of hiPSC models and thus their ability to uncover disease mechanisms, therapeutic vulnerabilities, and tissue and fluid-based biomarkers that will have real impact on neurological disease treatment. True physiological understanding, however, necessitates integration of hiPSC-neural models with patient biophysical data, including quantitative neuroimaging representations. We discuss recent innovations in cellular neuroscience that can provide these direct connections through generative AI modeling. Our focus is to highlight the great potential of synergy between these emerging innovations to pave the way for personalized medicine becoming a viable option for patients suffering from neuropathologies, particularly rare epileptic and neurodegenerative disorders.

摘要

精准医学,即个性化医学,旨在根据不同的致病特征对患者进行分层,以优化疾病预防和治疗的效果。这种方法在脑部疾病的背景下是有利的,因为脑部疾病在病理生理特征、疾病进展模式和治疗反应方面往往具有异质性,导致治疗的标准护理有限。在这里,我们强调了人类诱导多能干细胞(hiPSC)衍生的神经模型在推进脑部疾病精准医学方面所发挥的变革性作用,特别是那些提高hiPSC模型与人类生理学相关性的新兴创新。从可获取的患者体细胞中衍生出的hiPSC可以产生各种神经细胞类型和组织;目前为增加这些模型的复杂性所做的努力,包括纳入特定区域的神经组织和脑微环境中的非神经细胞类型,正在为人类特异性神经生物学提供越来越相关的见解。组织工程的持续进步与基因组学、高通量筛选和成像方面的创新相结合,增强了hiPSC模型的生理相关性,从而提高了它们揭示疾病机制、治疗脆弱性以及对神经疾病治疗有实际影响的基于组织和体液的生物标志物的能力。然而,真正的生理理解需要将hiPSC神经模型与患者的生物物理数据相结合,包括定量神经影像学表现。我们讨论了细胞神经科学方面的最新创新,这些创新可以通过生成式人工智能建模提供这些直接联系。我们的重点是强调这些新兴创新之间协同作用的巨大潜力,为个性化医学成为神经病理学患者,特别是罕见癫痫和神经退行性疾病患者的可行选择铺平道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce6b/11743572/4e0c3521ca29/fncel-18-1478572-g001.jpg

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