Ma Wanting, Dong Zhenglin, Zheng Zhu'anzhen, Bai Long, Zhang Xingcai, Su Jiacan
MedEng-X Institutes, Shanghai University, Shanghai, 200444, China.
Organoid Research Center, Institute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Adv Sci (Weinh). 2025 Nov 10:e08534. doi: 10.1002/advs.202508534.
Organoids serve as pivotal models in both basic and applied research, offering transformative potential in biomedical applications. Herein is presented a comprehensive multi-scale perspective encompassing dual-scale construction, four-dimensional evaluation, triple-point application, and an analysis of the current challenges faced by organoid technology, aiming to advance organoid research and its biomedical applications. Dual-scale construction integrates micro-scale and macro-scale strategies to optimize material selection and spatial organization, thereby enhancing the biological fidelity of organoids. Four-dimensional evaluation systematically assesses functional performance and long-term stability at the molecular, cellular, organ, and in vivo levels, ensuring robust characterization. Triple-point application explores the translational potential of organoids in basic research, preclinical studies, and clinical applications, with a focus on disease modeling, drug screening, and regenerative medicine. By refining construction methodologies, improving evaluation frameworks and facilitating clinical translation, this multi-scale approach provides critical insights into optimizing organoid technology for biomedical research and therapeutic applications. The introduction of artificial intelligence (AI) empowers organoid research by enabling intelligent construction strategy screening, efficient multi-scale image analysis, rapid multi-omics data interpretation, and accurate preclinical assessment.
类器官在基础研究和应用研究中均作为关键模型,在生物医学应用中具有变革潜力。本文提出了一个全面的多尺度视角,涵盖双尺度构建、四维评估、三点应用以及对类器官技术当前面临挑战的分析,旨在推动类器官研究及其生物医学应用。双尺度构建整合了微观尺度和宏观尺度策略,以优化材料选择和空间组织,从而提高类器官的生物学逼真度。四维评估系统地评估分子、细胞、器官和体内水平的功能性能和长期稳定性,确保进行全面的表征。三点应用探索类器官在基础研究、临床前研究和临床应用中的转化潜力,重点在于疾病建模、药物筛选和再生医学。通过完善构建方法、改进评估框架并促进临床转化,这种多尺度方法为优化用于生物医学研究和治疗应用的类器官技术提供了关键见解。人工智能(AI)的引入通过实现智能构建策略筛选、高效的多尺度图像分析、快速的多组学数据解读以及准确的临床前评估,为类器官研究提供了助力。