类器官引导的精准医学:从实验室到床边

IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
MedComm Pub Date : 2025-05-01 DOI:10.1002/mco2.70195
Boqaing Tao, Xiaolan Li, Ming Hao, Tian Tian, Yuyang Li, Xiang Li, Chun Yang, Qirong Li, Qiang Feng, Hengzong Zhou, Yicheng Zhao, Dongxu Wang, Weiwei Liu
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引用次数: 0

摘要

类器官技术作为生物技术的一个新兴领域,在推进精准医疗方面显示出变革性的潜力。这篇综述系统地概述了类器官从实验室到临床的转化轨迹,强调了它们的构建方法、关键调控因素以及在个性化医疗中的多方面应用。通过三维培养系统概括生理结构和疾病表型,类器官利用天然和合成支架、干细胞来源和时空细胞因子调节来模拟组织特异性微环境。不同的类器官类型——包括皮肤、肠道、肺和肿瘤类器官——促进了组织发育建模、药物疗效和毒性筛选、疾病发病机制研究和针对患者的诊断方面的突破。例如,患者来源的肿瘤类器官保留了肿瘤异质性和基因组图谱,可作为个体化化疗反应的预测平台。在精准医学中,类器官引导的多组学分析确定了可操作的生物标志物和耐药机制,而聚类定期间隔的短回文重复功能筛选优化了治疗靶向性。尽管在临床前取得了成功,但在标准化、血管化和伦理考虑方面仍然存在挑战。未来人工智能、微流体和空间转录组学的整合将增强类器官的可扩展性、可重复性和临床相关性。通过将分子洞察力与患者特异性治疗相结合,类器官有望彻底改变精准医学,为药物开发、再生策略和个性化治疗范例提供动态平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Organoid-Guided Precision Medicine: From Bench to Bedside

Organoid-Guided Precision Medicine: From Bench to Bedside

Organoid technology, as an emerging field within biotechnology, has demonstrated transformative potential in advancing precision medicine. This review systematically outlines the translational trajectory of organoids from bench to bedside, emphasizing their construction methodologies, key regulatory factors, and multifaceted applications in personalized healthcare. By recapitulating physiological architectures and disease phenotypes through three-dimensional culture systems, organoids leverage natural and synthetic scaffolds, stem cell sources, and spatiotemporal cytokine regulation to model tissue-specific microenvironments. Diverse organoid types—including skin, intestinal, lung, and tumor organoids—have facilitated breakthroughs in modeling tissue development, drug efficacy and toxicity screening, disease pathogenesis studies, and patient-tailored diagnostics. For instance, patient-derived tumor organoids preserve tumor heterogeneity and genomic profiles, serving as predictive platforms for individualized chemotherapy responses. In precision medicine, organoid-guided multiomics analyses identify actionable biomarkers and resistance mechanisms, while clustered regularly interspaced short palindromic repeats-based functional screens optimize therapeutic targeting. Despite preclinical successes, challenges persist in standardization, vascularization, and ethical considerations. Future integration of artificial intelligence, microfluidics, and spatial transcriptomics will enhance organoid scalability, reproducibility, and clinical relevance. By bridging molecular insights with patient-specific therapies, organoids are poised to revolutionize precision medicine, offering dynamic platforms for drug development, regenerative strategies, and individualized treatment paradigms.

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CiteScore
6.70
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