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Insufficiency in airway interferon activation defines clinical severity to infant RSV infection

By Chin-Yi Chu, Xing Qiu, Matthew N. McCall, Lu Wang, Anthony Corbett, Jeanne Holden-Wiltse, Christopher Slaunwhite, Qian Wang, Christopher Anderson, Alex Grier, Steven R Gill, Gloria Pryhuber, Ann R Falsey, David J Topham, Mary T Caserta, Edward E. Walsh, Thomas J. Mariani

Posted 20 May 2019
bioRxiv DOI: 10.1101/641795

Respiratory syncytial virus (RSV) is the leading cause of severe respiratory disease in infants. Other than age at the time of infection, the causes and correlates of severe illness in infants lacking known risk factors are poorly defined. We recruited a cohort of confirmed RSV-infected infants and simultaneously assayed the presence of resident airway microbiota and the molecular status of their airways using a novel method. Rigorous statistical analyses identified a molecular airway gene expression signature of severe illness dominated by excessive chemokine expression. Global 16S rRNA sequencing confirmed an association between H. influenzae and clinical severity. Interestingly, adjusting for H. influenzae in our gene expression analysis revealed an association between severity and airway lymphocyte accumulation. Exploring the relationship between airway gene expression and the time of onset of clinical symptoms revealed a robust, acute activation of interferon (IFN) signaling, which was absent in subjects with severe illness. Finally, we explored the relationship between IFN activity, airway gene expression and productive RSV infection using a novel in vitro model of bona fide pediatric human airway epithelial cells. Interestingly, blocking IFN signaling, but not IFN ligand production, in these cells leads to increased viral infection. Our data reveal that acute airway interferon responses are physiologically relevant in the context of infant RSV infection and may be a target for therapeutic intervention. Additionally, the airway gene expression signature we define may be useful as a biomarker for efficacy of intervention responses.

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