Koceva Hristina, Amiratashani Mona, Akbarimoghaddam Parastoo, Hoffmann Bianca, Zhurgenbayeva Gaukhar, Gresnigt Mark S, Marcelino Vanessa Rossetto, Eggeling Christian, Figge Marc Thilo, Amorim Maria-João, Mosig Alexander S
Institute of Biochemistry II, Jena University Hospital, Jena, Germany.
Cluster of Excellence Balance of the Microverse, Friedrich-Schiller-University Jena, Jena, Germany.
Open Biol. 2025 Mar;15(3):240231. doi: 10.1098/rsob.240231. Epub 2025 Mar 5.
The lung microbiome has recently gained attention for potentially affecting respiratory viral infections, including influenza A virus, respiratory syncytial virus (RSV) and SARS-CoV-2. We will discuss the complexities of the lung microenvironment in the context of viral infections and the use of organ-on-chip (OoC) models in replicating the respiratory tract milieu to aid in understanding the role of temporary microbial colonization. Leveraging the innovative capabilities of OoC, particularly through integrating gut and lung models, opens new avenues to understand the mechanisms linking inter-organ crosstalk and respiratory infections. We will discuss technical aspects of OoC lung models, ranging from the selection of cell substrates for extracellular matrix mimicry, mechanical strain, breathing mechanisms and air-liquid interface to the integration of immune cells and use of microscopy tools for algorithm-based image analysis and systems biology to study viral infection . OoC offers exciting new options to study viral infections across host species and to investigate human cellular physiology at a personalized level. This review bridges the gap between complex biological phenomena and the technical prowess of OoC models, providing a comprehensive roadmap for researchers in the field.
肺部微生物群最近因可能影响呼吸道病毒感染而受到关注,这些病毒包括甲型流感病毒、呼吸道合胞病毒(RSV)和严重急性呼吸综合征冠状病毒2(SARS-CoV-2)。我们将在病毒感染的背景下讨论肺部微环境的复杂性,以及使用芯片器官(OoC)模型来复制呼吸道环境,以帮助理解短暂微生物定植的作用。利用OoC的创新能力,特别是通过整合肠道和肺部模型,为理解器官间串扰与呼吸道感染之间的联系机制开辟了新途径。我们将讨论OoC肺部模型的技术方面,从用于模拟细胞外基质的细胞底物选择、机械应变、呼吸机制和气液界面,到免疫细胞的整合以及使用显微镜工具进行基于算法的图像分析和系统生物学来研究病毒感染。OoC为跨宿主物种研究病毒感染以及在个性化水平上研究人类细胞生理学提供了令人兴奋的新选择。这篇综述弥合了复杂生物学现象与OoC模型技术实力之间的差距,为该领域的研究人员提供了一份全面的路线图。