Yang Haowei, Li Jiawei, Wang Zitian, Khutsishvili Davit, Tang Jiyuan, Zhu Yu, Cai Yongde, Dai Xiaoyong, Ma Shaohua
Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen 518055, China.
Tsinghua-Berkeley Shenzhen Institute, Shenzhen 518055, China.
Life Med. 2024 Apr 15;3(2):lnae016. doi: 10.1093/lifemedi/lnae016. eCollection 2024 Apr.
Synthetic organ models such as organoids and organ-on-a-chip have been receiving recognition from administrative agencies. Despite the proven success of organoids in predicting drug efficacy on laboratory scales, their translational advances have not fully satisfied the expectations for both clinical implementation and commercial applications. The transition from laboratory settings to clinical applications continues to encounter challenges. Employing engineering methodologies to facilitate the bridging of this gap for organoids represents one of the key directions for future advancement. The main measures to bridge the gap include environmental and phenotypic recapitulation, 3D patterning, matrix engineering, and multi-modality information acquisition and processing. Pilot whole-process clinical/pharmaceutical applications with fast and standardized organoid models will continuously offer convincing frontline optimization clues and driving forces to the organoid community, which is a promising path to translational organoid technologies.
类器官和芯片器官等合成器官模型已得到管理机构的认可。尽管类器官在实验室规模上预测药物疗效已被证明是成功的,但其转化进展尚未完全满足临床应用和商业应用的期望。从实验室环境向临床应用的转变仍面临挑战。采用工程方法来促进类器官在这一差距上的弥合是未来发展的关键方向之一。弥合差距的主要措施包括环境和表型重现、3D图案化、基质工程以及多模态信息采集与处理。使用快速且标准化的类器官模型进行试点全流程临床/制药应用,将持续为类器官领域提供令人信服的一线优化线索和驱动力,这是类器官技术转化的一条有前景的途径。