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A systems genomics approach uncovers molecular associates of RSV severity
Authors:Matthew N McCall  Chin-Yi Chu  Lu Wang  Lauren Benoodt  Juilee Thakar  Anthony Corbett  Jeanne Holden-Wiltse  Christopher Slaunwhite  Alex Grier  Steven R Gill  Ann R Falsey  David J Topham  Mary T Caserta  Edward E Walsh  Xing Qiu  Thomas J Mariani
Abstract:Respiratory syncytial virus (RSV) infection results in millions of hospitalizations and thousands of deaths each year. Variations in the adaptive and innate immune response appear to be associated with RSV severity. To investigate the host response to RSV infection in infants, we performed a systems-level study of RSV pathophysiology, incorporating high-throughput measurements of the peripheral innate and adaptive immune systems and the airway epithelium and microbiota. We implemented a novel multi-omic data integration method based on multilayered principal component analysis, penalized regression, and feature weight back-propagation, which enabled us to identify cellular pathways associated with RSV severity. In both airway and immune cells, we found an association between RSV severity and activation of pathways controlling Th17 and acute phase response signaling, as well as inhibition of B cell receptor signaling. Dysregulation of both the humoral and mucosal response to RSV may play a critical role in determining illness severity.
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