Shou Yufeng, Johnson Sarah C, Quek Ying Jie, Li Xianlei, Tay Andy
Department of Biomedical Engineering, National University of Singapore, 117583, Singapore.
Department of Bioengineering, Stanford University, CA, 94305, USA.
Mater Today Bio. 2022 Apr 21;14:100269. doi: 10.1016/j.mtbio.2022.100269. eCollection 2022 Mar.
The lymph node (LN) is a vital organ of the lymphatic and immune system that enables timely detection, response, and clearance of harmful substances from the body. Each LN comprises of distinct substructures, which host a plethora of immune cell types working in tandem to coordinate complex innate and adaptive immune responses. An improved understanding of LN biology could facilitate treatment in LN-associated pathologies and immunotherapeutic interventions, yet at present, animal models, which often have poor physiological relevance, are the most popular experimental platforms. Emerging biomaterial engineering offers powerful alternatives, with the potential to circumvent limitations of animal models, for in-depth characterization and engineering of the lymphatic and adaptive immune system. In addition, mathematical and computational approaches, particularly in the current age of big data research, are reliable tools to verify and complement biomaterial works. In this review, we first discuss the importance of lymph node in immunity protection followed by recent advances using biomaterials to create LN-mimicking models to recreate the lymphoid tissue microstructure and microenvironment, as well as to describe the related immuno-functionality for biological investigation. We also explore the great potential of mathematical and computational models to serve as supports. Furthermore, we suggest how both / and approaches can be integrated to strengthen basic patho-biological research, translational drug screening and clinical personalized therapies. We hope that this review will promote synergistic collaborations to accelerate progress of LN-mimicking systems to enhance understanding of immuno-complexity.
淋巴结(LN)是淋巴和免疫系统的重要器官,能够及时检测、应对并清除体内有害物质。每个淋巴结都由不同的亚结构组成,这些亚结构容纳了大量免疫细胞类型,它们协同工作以协调复杂的先天性和适应性免疫反应。对淋巴结生物学的深入理解有助于治疗与淋巴结相关的疾病和进行免疫治疗干预,但目前,生理相关性往往较差的动物模型是最常用的实验平台。新兴的生物材料工程提供了强大的替代方案,有可能克服动物模型的局限性,用于深入表征和构建淋巴及适应性免疫系统。此外,数学和计算方法,特别是在当前大数据研究时代,是验证和补充生物材料研究成果的可靠工具。在本综述中,我们首先讨论淋巴结在免疫保护中的重要性,接着介绍利用生物材料创建模拟淋巴结模型以重现淋巴组织微观结构和微环境的最新进展,以及描述用于生物学研究的相关免疫功能。我们还探讨了数学和计算模型作为支撑的巨大潜力。此外,我们提出如何将这两种方法整合起来,以加强基础病理生物学研究、转化药物筛选和临床个性化治疗。我们希望这篇综述将促进协同合作,加速模拟淋巴结系统的进展,以增进对免疫复杂性的理解。