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遗传性疾病中的类器官:从疾病建模到转化应用

Organoids in Genetic Disorders: from Disease Modeling to Translational Applications.

作者信息

Zhu Yuanhang, Lin Nanshan, Li Juan, Zhang Haoqian, Zhang Ping, Cheng Xin, Yang Qian, Liu Ling

机构信息

Department of Medical Genetics and Prenatal Diagnostics, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

The Second Clinical Medical School of Zhengzhou University, Zhengzhou, China.

出版信息

Stem Cell Rev Rep. 2025 Sep 11. doi: 10.1007/s12015-025-10973-x.

Abstract

The emergence of organoid models has significantly bridged the gap between traditional cell cultures/animal models and authentic human disease states, particularly for genetic disorders, where their inherent genetic fidelity enables more biologically relevant research directions and enhances translational validity. This review systematically analyzes established organoid models of genetic diseases across organs (e.g., brain, eye, kidney, lung, and heart), highlighting their pivotal roles in identifying novel pathogenic genes, elucidating disease mechanisms, and advancing therapeutic strategies such as drug screening platforms, gene-editing therapies, and organ transplantation strategies. Furthermore, we critically address current limitations-including challenges in recapitulating complex pathologies and scaling production-while underscoring their potential for personalized medicine through multi-omics integration and bioengineering innovations. Although the scope of "genetic diseases" is broad, this synthesis focuses on disorders with well-defined inheritance patterns, such as monogenic disorders, copy number variations (CNVs), and aneuploidies. Despite covering only a subset of these conditions, this review aims to provide researchers with a comprehensive overview of the field, emphasizing how organoid-based approaches could accelerate both mechanistic discoveries and clinical translation in genetic disease research.

摘要

类器官模型的出现显著缩小了传统细胞培养/动物模型与真实人类疾病状态之间的差距,特别是对于遗传性疾病而言,其内在的基因保真度使得研究方向更具生物学相关性,并提高了转化有效性。本综述系统分析了跨器官(如脑、眼、肾、肺和心脏)的遗传性疾病类器官模型,强调了它们在鉴定新的致病基因、阐明疾病机制以及推进治疗策略(如药物筛选平台、基因编辑疗法和器官移植策略)方面所起的关键作用。此外,我们批判性地探讨了当前的局限性,包括在重现复杂病理和扩大生产规模方面面临的挑战,同时强调了它们通过多组学整合和生物工程创新实现个性化医疗的潜力。尽管“遗传性疾病”的范围很广,但本综述聚焦于具有明确遗传模式的疾病,如单基因疾病、拷贝数变异(CNV)和非整倍体。尽管仅涵盖了这些疾病的一个子集,但本综述旨在为研究人员提供该领域的全面概述,强调基于类器官的方法如何能够加速遗传性疾病研究中的机制发现和临床转化。

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