Generation of an Induced Pluripotent Stem Cell‐Derived Alveolar Type II In Vitro Model to Study Influenza A Virus Infection and Drug Treatments

Influenza viruses (IVs) represent a significant global health issue, capable of causing seasonal epidemics and occasional pandemics with substantial morbidity and mortality. The emergence of viral resistance further complicates treatment strategies. In this study, induced pluripotent stem cell-derived human alveolar type II (iAT2) cells are used to model influenza A virus (IAV) infection and to assess antiviral responses. Cultured at an air-liquid interface (ALI) in transwell systems, iAT2 cells recapitulate key features of the alveolar epithelium and support productive IAV replication. Upon infection, iAT2 cells mounted an antiviral transcriptional response and exhibited sensitivity to oseltamivir treatment, consistent with its established in vivo efficacy. Together, these findings highlight the utility of iAT2 cells as a scalable, physiologically relevant in vitro model for influenza research and antiviral drug testing. Future applications may include the evaluation of emerging viral strains and the development of personalized antiviral therapies.

Authors

Institutions

Publication Details

Journal
Advanced Healthcare Materials
Published
2025-12-30
DOI
https://doi.org/10.1002/adhm.202405141
Primary Topic
Respiratory viral infections research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Generation of an Induced Pluripotent Stem Cell‐Derived Alveolar Type II In Vitro Model to Study Influenza A Virus Infection and Drug Treatments

Yann Bachelot, Rosanne W. Koutstaal, Hristina Koceva, Christian Eggeling et al.
Advanced Healthcare Materials
Respiratory viral infections research
article

Generation of an Induced Pluripotent Stem Cell‐Derived Alveolar Type II In Vitro Model to Study Influenza A Virus Infection and Drug Treatments

Yann Bachelot, Rosanne W. Koutstaal, Hristina Koceva, Christian Eggeling, Lena Gauthier, Marc Thilo Figge, Alexander Sandy Mosig, Puck B. van Kasteren
article en

Abstract

Influenza viruses (IVs) represent a significant global health issue, capable of causing seasonal epidemics and occasional pandemics with substantial morbidity and mortality. The emergence of viral resistance further complicates treatment strategies. In this study, induced pluripotent stem cell-derived human alveolar type II (iAT2) cells are used to model influenza A virus (IAV) infection and to assess antiviral responses. Cultured at an air-liquid interface (ALI) in transwell systems, iAT2 cells recapitulate key features of the alveolar epithelium and support productive IAV replication. Upon infection, iAT2 cells mounted an antiviral transcriptional response and exhibited sensitivity to oseltamivir treatment, consistent with its established in vivo efficacy. Together, these findings highlight the utility of iAT2 cells as a scalable, physiologically relevant in vitro model for influenza research and antiviral drug testing. Future applications may include the evaluation of emerging viral strains and the development of personalized antiviral therapies.

Advanced Healthcare MaterialsVol. 15(11)
Leibniz Institute of Photonic Technology (DE), National Institute for Public Health and the Environment (NL), Jena University Hospital (DE), Leibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI) (DE), Friedrich Schiller University Jena (DE)
Friedrich-Schiller-Universität Jena, European Federation of Pharmaceutical Industries and Associations, Freistaat Thüringen, European Commission, Deutsche Forschungsgemeinschaft, Thüringer Ministerium für Wirtschaft, Wissenschaft und Digitale Gesellschaft, Leibniz-Gemeinschaft
Good health and well-being
Openalex Percentile: Top 29%
Respiratory viral infections research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.