Zhang Jiande, Kim Min-Hyeok, Lee Seulgi, Park Sungsu
School of Mechanical Engineering, Sungkyunkwan University (SKKU), Suwon, 16419, Korea.
Department of Metabiohealth, Sungkyunkwan University (SKKU), Suwon, 16419, Korea.
Nano Converg. 2024 Nov 26;11(1):47. doi: 10.1186/s40580-024-00455-0.
The integration of nanobiosensors into organ-on-chip (OoC) models offers a promising advancement in the study of viral infections and therapeutic development. Conventional research methods for studying viral infection, such as two-dimensional cell cultures and animal models, face challenges in replicating the complex and dynamic nature of human tissues. In contrast, OoC systems provide more accurate, physiologically relevant models for investigating viral infections, disease mechanisms, and host responses. Nanobiosensors, with their miniaturized designs and enhanced sensitivity, enable real-time, continuous, in situ monitoring of key biomarkers, such as cytokines and proteins within these systems. This review highlights the need for integrating nanobiosensors into OoC systems to advance virological research and improve therapeutic outcomes. Although there is extensive literature on biosensors for viral infection detection and OoC models for replicating infections, real integration of biosensors into OoCs for continuous monitoring remains unachieved. We discuss the advantages of nanobiosensor integration for real-time tracking of critical biomarkers within OoC models, key biosensor technologies, and current OoC systems relevant to viral infection studies. Additionally, we address the main technical challenges and propose solutions for successful integration. This review aims to guide the development of biosensor-integrated OoCs, paving the way for precise diagnostics and personalized treatments in virological research.
将纳米生物传感器集成到芯片器官（OoC）模型中，为病毒感染研究和治疗开发带来了有前景的进展。用于研究病毒感染的传统研究方法，如二维细胞培养和动物模型，在复制人体组织的复杂和动态特性方面面临挑战。相比之下，OoC系统为研究病毒感染、疾病机制和宿主反应提供了更准确、生理相关的模型。纳米生物传感器凭借其小型化设计和更高的灵敏度，能够对这些系统中的关键生物标志物，如细胞因子和蛋白质进行实时、连续、原位监测。本综述强调了将纳米生物传感器集成到OoC系统中以推进病毒学研究和改善治疗效果的必要性。尽管有大量关于用于病毒感染检测的生物传感器和用于复制感染的OoC模型的文献，但生物传感器与OoC的真正集成以进行连续监测仍未实现。我们讨论了在OoC模型中集成纳米生物传感器以实时跟踪关键生物标志物的优势、关键生物传感器技术以及与病毒感染研究相关的当前OoC系统。此外，我们阐述了主要技术挑战并提出了成功集成的解决方案。本综述旨在指导集成生物传感器的OoC的开发，为病毒学研究中的精确诊断和个性化治疗铺平道路。
