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Usage Information

Activation of STAT3-mediated ciliated cell survival protects against severe infection by respiratory syncytial virus
Caiqi Zhao, Yan Bai, Wei Wang, Gaurang M. Amonkar, Hongmei Mou, Judith Olejnik, Adam J. Hume, Elke Mühlberger, Nicholas W. Lukacs, Rachel Fearns, Paul H. Lerou, Xingbin Ai
Caiqi Zhao, Yan Bai, Wei Wang, Gaurang M. Amonkar, Hongmei Mou, Judith Olejnik, Adam J. Hume, Elke Mühlberger, Nicholas W. Lukacs, Rachel Fearns, Paul H. Lerou, Xingbin Ai
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Research Article Infectious disease

Activation of STAT3-mediated ciliated cell survival protects against severe infection by respiratory syncytial virus

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Abstract

Respiratory syncytial virus (RSV) selectively targets ciliated cells in human bronchial epithelium and can cause bronchiolitis and pneumonia, mostly in infants. To identify molecular targets of intervention during RSV infection in infants, we investigated how age regulates RSV interaction with the bronchial epithelium barrier. Employing precision-cut lung slices and air-liquid interface cultures generated from infant and adult human donors, we found robust RSV virus spread and extensive apoptotic cell death only in infant bronchial epithelium. In contrast, adult bronchial epithelium showed no barrier damage and limited RSV infection. Single nuclear RNA-Seq revealed age-related insufficiency of an antiapoptotic STAT3 activation response to RSV infection in infant ciliated cells, which was exploited to facilitate virus spread via the extruded apoptotic ciliated cells carrying RSV. Activation of STAT3 and blockade of apoptosis rendered protection against severe RSV infection in infant bronchial epithelium. Lastly, apoptotic inhibitor treatment of a neonatal mouse model of RSV infection mitigated infection and inflammation in the lung. Taken together, our findings identify a STAT3-mediated antiapoptosis pathway as a target to battle severe RSV disease in infants.

Authors

Caiqi Zhao, Yan Bai, Wei Wang, Gaurang M. Amonkar, Hongmei Mou, Judith Olejnik, Adam J. Hume, Elke Mühlberger, Nicholas W. Lukacs, Rachel Fearns, Paul H. Lerou, Xingbin Ai

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Usage data is cumulative from September 2025 through September 2026.

Usage JCI PMC
Text version 1,993 612
PDF 462 213
Figure 1,432 0
Supplemental data 400 73
Citation downloads 201 0
Totals 4,488 898
Total Views 5,386

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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