Department of Oncology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China.
State Key Laboratory of Bioelectronics, School of Biomedical Engineering, Southeast University, Nanjing 210096, China.
Biosensors (Basel). 2021 Nov 15;11(11):456. doi: 10.3390/bios11110456.
Lung diseases (e.g., infection, asthma, cancer, and pulmonary fibrosis) represent serious threats to human health all over the world. Conventional two-dimensional (2D) cell models and animal models cannot mimic the human-specific properties of the lungs. In the past decade, human organ-on-a-chip (OOC) platforms-including lung-on-a-chip (LOC)-have emerged rapidly, with the ability to reproduce the in vivo features of organs or tissues based on their three-dimensional (3D) structures. Furthermore, the integration of biosensors in the chip allows researchers to monitor various parameters related to disease development and drug efficacy. In this review, we illustrate the biosensor-based LOC modeling, further discussing the future challenges as well as perspectives in integrating biosensors in OOC platforms.
肺部疾病（如感染、哮喘、癌症和肺纤维化）是全世界人类健康的严重威胁。传统的二维（2D）细胞模型和动物模型无法模拟肺部的人类特异性。在过去的十年中，人体器官芯片（OOC）平台——包括肺芯片（LOC）——迅速出现，能够根据器官或组织的三维（3D）结构再现体内特征。此外，生物传感器在芯片中的集成使研究人员能够监测与疾病发展和药物疗效相关的各种参数。在这篇综述中，我们展示了基于生物传感器的 LOC 建模，并进一步讨论了在 OOC 平台中集成生物传感器所面临的未来挑战和前景。
