Li Tianlong, Peng Dingkun, Yao Meng, Li Meilin, Wang Yijing, Li Su, Zhang Ding, Yang Bo, Qiu Hua-Ji, Li Lian-Feng
State Key Laboratory for Animal Disease Control and Prevention, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin, Heilongjiang, China.
College of Veterinary Medicine, Shanxi Agricultural University, Taigu, Shanxi, China.
Front Immunol. 2025 Aug 6;16:1632117. doi: 10.3389/fimmu.2025.1632117. eCollection 2025.
The rapid advancement of vaccines and immunotherapies has significantly improved public health. However, a significant translational gap remains between basic research and clinical application, largely attributed to the disconnect between studies and models. To bridge this gap, models of immune organs, including bone marrow, thymus, spleen, lymph nodes, and tonsils, have emerged as a promising solution. By integrating cutting-edge technologies such as culture, microfluidic chips, engineered tissues, and organoid models, researchers have successfully established a new-generation immune simulation platform. This review systematically summarizes recent progress in immune organ-based models, outlines the current technological landscape and highlights the unique advantages of immune organoids within this field. Notably, we classify immune organoids into strictly and broadly defined categories based on their origin and construction methodology, while emphasizing the importance of multi-model integration. This platform provides a novel framework for advancing translational immunology research, particularly in the fields of adaptive immunity and vaccine development.
疫苗和免疫疗法的迅速发展显著改善了公众健康。然而,基础研究与临床应用之间仍存在显著的转化差距,这在很大程度上归因于研究与模型之间的脱节。为了弥合这一差距,包括骨髓、胸腺、脾脏、淋巴结和扁桃体在内的免疫器官模型已成为一种有前景的解决方案。通过整合如培养、微流控芯片、工程组织和类器官模型等前沿技术,研究人员成功建立了新一代免疫模拟平台。本综述系统总结了基于免疫器官的模型的最新进展,概述了当前的技术格局,并突出了该领域内免疫类器官的独特优势。值得注意的是,我们根据免疫类器官的起源和构建方法将其分为严格定义和宽泛定义的类别,同时强调多模型整合的重要性。该平台为推进转化免疫学研究提供了一个新框架,特别是在适应性免疫和疫苗开发领域。