A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection
Micah T. McClain; Slim Fourati; The Respiratory Viral DREAM Challenge Consortium; Ka Yee Yeung; Samad Jahandideh; Ana Stanescu; Aarthi Talla; Gaurav Pandey; Lara M. Mangravite; Reem Almugbel; Laura L. Elo; Zafer Aydın; Mehmet Eren Ahsen; Ricardo Henao; Thomas Yu; Joshua G. Burkhart; Christopher Chiu; Riku Klén; Solveig K. Sieberts; Torbjörn E.M. Nordling; Mehrad Mahmoudian; Robert Vogel; Christopher W. Woods; Xiao Liang; Geoffrey S. Ginsburg; Ephraim L. Tsalik; Motoki Shiga
A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection
Micah T. McClain
Slim Fourati
The Respiratory Viral DREAM Challenge Consortium
Ka Yee Yeung
Samad Jahandideh
Ana Stanescu
Aarthi Talla
Gaurav Pandey
Lara M. Mangravite
Reem Almugbel
Laura L. Elo
Zafer Aydın
Mehmet Eren Ahsen
Ricardo Henao
Thomas Yu
Joshua G. Burkhart
Christopher Chiu
Riku Klén
Solveig K. Sieberts
Torbjörn E.M. Nordling
Mehrad Mahmoudian
Robert Vogel
Christopher W. Woods
Xiao Liang
Geoffrey S. Ginsburg
Ephraim L. Tsalik
Motoki Shiga
NATURE PUBLISHING GROUP
Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2021042720138
https://urn.fi/URN:NBN:fi-fe2021042720138
Tiivistelmä
The response to respiratory viruses varies substantially between individuals, and there are currently no known molecular predictors from the early stages of infection. Here we conduct a community-based analysis to determine whether pre- or early post-exposure molecular factors could predict physiologic responses to viral exposure. Using peripheral blood gene expression profiles collected from healthy subjects prior to exposure to one of four respiratory viruses (H1N1, H3N2, Rhinovirus, and RSV), as well as up to 24 h following exposure, we find that it is possible to construct models predictive of symptomatic response using profiles even prior to viral exposure. Analysis of predictive gene features reveal little overlap among models; however, in aggregate, these genes are enriched for common pathways. Heme metabolism, the most significantly enriched pathway, is associated with a higher risk of developing symptoms following viral exposure. This study demonstrates that pre-exposure molecular predictors can be identified and improves our understanding of the mechanisms of response to respiratory viruses.
Kokoelmat
- Rinnakkaistallenteet [19207]