A systems genomics approach uncovers molecular associates of RSV severity

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...

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Bibliographic Details
Main Authors: Benoodt, L. (Author), Caserta, M.T (Author), Chu, C.-Y (Author), Corbett, A. (Author), Falsey, A.R (Author), Gill, S.R (Author), Grier, A. (Author), Holden-Wiltse, J. (Author), Mariani, T.J (Author), McCall, M.N (Author), Qiu, X. (Author), Slaunwhite, C. (Author), Thakar, J. (Author), Topham, D.J (Author), Walsh, E.E (Author), Wang, L. (Author)
Format: Article
Language:English
Published: Public Library of Science 2021
Subjects:
Online Access:View Fulltext in Publisher
LEADER 03809nam a2200853Ia 4500
001 10.1371-journal.pcbi.1009617
008 220427s2021 CNT 000 0 und d
020 |a 1553734X (ISSN) 
245 1 0 |a A systems genomics approach uncovers molecular associates of RSV severity 
260 0 |b Public Library of Science  |c 2021 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1371/journal.pcbi.1009617 
520 3 |a 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. © 2021 McCall et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 
650 0 4 |a adaptive immunity 
650 0 4 |a Article 
650 0 4 |a B lymphocyte receptor 
650 0 4 |a cell activation 
650 0 4 |a cohort analysis 
650 0 4 |a controlled study 
650 0 4 |a cytology 
650 0 4 |a disease association 
650 0 4 |a disease severity 
650 0 4 |a gene expression regulation 
650 0 4 |a genetics 
650 0 4 |a genomics 
650 0 4 |a Genomics 
650 0 4 |a high throughput sequencing 
650 0 4 |a human 
650 0 4 |a Human respiratory syncytial virus 
650 0 4 |a Humans 
650 0 4 |a humoral immunity 
650 0 4 |a Immunity, Innate 
650 0 4 |a immunocompetent cell 
650 0 4 |a immunology 
650 0 4 |a infant 
650 0 4 |a Infant 
650 0 4 |a innate immunity 
650 0 4 |a machine learning 
650 0 4 |a Machine Learning 
650 0 4 |a metabolism 
650 0 4 |a Microbiota 
650 0 4 |a microflora 
650 0 4 |a molecular genetics 
650 0 4 |a molecular pathology 
650 0 4 |a Nasal Cavity 
650 0 4 |a nonhuman 
650 0 4 |a nose cavity 
650 0 4 |a pathophysiology 
650 0 4 |a procedures 
650 0 4 |a respiratory epithelium 
650 0 4 |a respiratory syncytial virus infection 
650 0 4 |a respiratory syncytial virus infection 
650 0 4 |a Respiratory Syncytial Virus Infections 
650 0 4 |a RNA-Seq 
650 0 4 |a severity of illness index 
650 0 4 |a Severity of Illness Index 
650 0 4 |a signal transduction 
650 0 4 |a Th17 cell 
700 1 |a Benoodt, L.  |e author 
700 1 |a Caserta, M.T.  |e author 
700 1 |a Chu, C.-Y.  |e author 
700 1 |a Corbett, A.  |e author 
700 1 |a Falsey, A.R.  |e author 
700 1 |a Gill, S.R.  |e author 
700 1 |a Grier, A.  |e author 
700 1 |a Holden-Wiltse, J.  |e author 
700 1 |a Mariani, T.J.  |e author 
700 1 |a McCall, M.N.  |e author 
700 1 |a Qiu, X.  |e author 
700 1 |a Slaunwhite, C.  |e author 
700 1 |a Thakar, J.  |e author 
700 1 |a Topham, D.J.  |e author 
700 1 |a Walsh, E.E.  |e author 
700 1 |a Wang, L.  |e author 
773 |t PLoS Computational Biology