Publication
Deciphering respiratory viral infections by harnessing organ-on-chip technology to explore the gut-lung axis
| datacite.subject.sdg | 03:Saúde de Qualidade | |
| dc.contributor.author | Koceva, Hristina | |
| dc.contributor.author | Amiratashani, Mona | |
| dc.contributor.author | Akbarimoghaddam, Parastoo | |
| dc.contributor.author | Hoffmann, Bianca | |
| dc.contributor.author | Zhurgenbayeva, Gaukhar | |
| dc.contributor.author | Gresnigt, Mark S. | |
| dc.contributor.author | Marcelino, Vanessa Rossetto | |
| dc.contributor.author | Eggeling, Christian | |
| dc.contributor.author | Figge, Marc Thilo | |
| dc.contributor.author | Amorim, Maria-João | |
| dc.contributor.author | Mosig, Alexander S. | |
| dc.date.accessioned | 2025-07-16T08:35:13Z | |
| dc.date.available | 2025-07-16T08:35:13Z | |
| dc.date.issued | 2025-03-05 | |
| dc.description.abstract | 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 in vitro. 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. | eng |
| dc.identifier.doi | 10.1098/rsob.240231 | |
| dc.identifier.eid | 86000297020 | |
| dc.identifier.issn | 2046-2441 | |
| dc.identifier.pmc | PMC11879621 | |
| dc.identifier.pmid | 40037530 | |
| dc.identifier.uri | http://hdl.handle.net/10400.14/53919 | |
| dc.identifier.wos | 001436485600005 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | OoC | |
| dc.subject | Chips | |
| dc.subject | Lung | |
| dc.subject | Models | |
| dc.subject | Respiratory | |
| dc.subject | Viral | |
| dc.title | Deciphering respiratory viral infections by harnessing organ-on-chip technology to explore the gut-lung axis | eng |
| dc.type | review article | |
| dspace.entity.type | Publication | |
| oaire.citation.issue | 3 | |
| oaire.citation.title | Open Biology | |
| oaire.citation.volume | 15 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 |