微生理构建体和系统:生物制造策略、仿生评估方法和生物医学应用。

Microphysiological Constructs and Systems: Biofabrication Tactics, Biomimetic Evaluation Approaches, and Biomedical Applications.

机构信息

State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Chaoyang District, Beijing, 100101, China.

Department of Obstetrics and Gynecology, Center for Reproductive Medicine/Department of Fetal Medicine and Prenatal Diagnosis/BioResource Research Center, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.

出版信息

Small Methods. 2024 Jan;8(1):e2300685. doi: 10.1002/smtd.202300685. Epub 2023 Oct 5.

Abstract

In recent decades, microphysiological constructs and systems (MPCs and MPSs) have undergone significant development, ranging from self-organized organoids to high-throughput organ-on-a-chip platforms. Advances in biomaterials, bioinks, 3D bioprinting, micro/nanofabrication, and sensor technologies have contributed to diverse and innovative biofabrication tactics. MPCs and MPSs, particularly tissue chips relevant to absorption, distribution, metabolism, excretion, and toxicity, have demonstrated potential as precise, efficient, and economical alternatives to animal models for drug discovery and personalized medicine. However, current approaches mainly focus on the in vitro recapitulation of the human anatomical structure and physiological-biochemical indices at a single or a few simple levels. This review highlights the recent remarkable progress in MPC and MPS models and their applications. The challenges that must be addressed to assess the reliability, quantify the techniques, and utilize the fidelity of the models are also discussed.

摘要

近几十年来,微生理构建体和系统(MPCs 和 MPSs)得到了显著的发展,从自组织的类器官到高通量的芯片上器官平台都有涉及。生物材料、生物墨水、3D 生物打印、微纳制造和传感器技术的进步为多样化和创新的生物制造策略做出了贡献。MPCs 和 MPSs,特别是与吸收、分布、代谢、排泄和毒性相关的组织芯片,已经证明了它们在药物发现和个性化医疗方面作为动物模型的精确、高效和经济替代物的潜力。然而,目前的方法主要集中在体外重现人类解剖结构和单一或少数几个简单水平的生理生化指标。本综述强调了 MPC 和 MPS 模型及其应用的最新显著进展。还讨论了评估模型可靠性、量化技术和利用模型保真度所必须解决的挑战。

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