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Modeling human enterovirus A71 infection using an intestinal microphysiological system

GSE310224 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2026/03/15 Platform GPL30173
Summary
Enterovirus A71 (EV-A71), a causative virus of hand, foot, and mouth diseases, primarily infects and replicates in the intestine and, in severe cases, spreads to the central nervous system (CNS), leading to neurological complications. Therefore, suppressing viral replication in the intestine is important to prevent severe complications. However, the intestinal pathophysiological changes in EV-A71-infected patients remain poorly understood. In this study, we aimed to examine the intestinal response to EV-A71 infection using the intestinal microphysiological system (MPS) we previously developed using human pluripotent stem cells and microfluidic devices. The viral RNA was detectable in the cell culture supernatant of the intestinal MPS for 14 days after the viral infection. Despite this, EV-A71 infection did not induce significant morphological changes in the intestinal MPS and alter the expression of epithelial cell markers, suggesting that the virus can infect the intestinal MPS without causing intestinal epithelial damage. In addition, we found that the secretion of interferons (IFNs) in the cell culture supernatant was not increased by viral infection. Interestingly, the treatment with recombinant IFNs increased the expression of innate immune response-related genes and reduced viral mRNA levels. A strong association was observed between EV-A71 infection and IFN signaling in the intestinal MPS. We believe that the intestinal MPS would be a valuable platform for studying EV-A71 infection and evaluating antiviral strategies.
Published in
Modeling human enterovirus A71 infection using an intestinal microphysiological system
Futatsusako H, Deguchi S, Kosugi K et al. · Journal of virology 2026 · PMID 42012182 · doi:10.1128/jvi.00250-26
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Also filed as BioProject PRJNA1365326 and SRA study SRP645538. Searching any of these in the dataset finder brings you back here.

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