Skip to main content

Temporal dynamics of host molecular responses differentiate symptomatic and asymptomatic influenza a infection.

Publication ,  Journal Article
Huang, Y; Zaas, AK; Rao, A; Dobigeon, N; Woolf, PJ; Veldman, T; Øien, NC; McClain, MT; Varkey, JB; Nicholson, B; Carin, L; Kingsmore, S ...
Published in: PLoS Genet
August 2011

Exposure to influenza viruses is necessary, but not sufficient, for healthy human hosts to develop symptomatic illness. The host response is an important determinant of disease progression. In order to delineate host molecular responses that differentiate symptomatic and asymptomatic Influenza A infection, we inoculated 17 healthy adults with live influenza (H3N2/Wisconsin) and examined changes in host peripheral blood gene expression at 16 timepoints over 132 hours. Here we present distinct transcriptional dynamics of host responses unique to asymptomatic and symptomatic infections. We show that symptomatic hosts invoke, simultaneously, multiple pattern recognition receptors-mediated antiviral and inflammatory responses that may relate to virus-induced oxidative stress. In contrast, asymptomatic subjects tightly regulate these responses and exhibit elevated expression of genes that function in antioxidant responses and cell-mediated responses. We reveal an ab initio molecular signature that strongly correlates to symptomatic clinical disease and biomarkers whose expression patterns best discriminate early from late phases of infection. Our results establish a temporal pattern of host molecular responses that differentiates symptomatic from asymptomatic infections and reveals an asymptomatic host-unique non-passive response signature, suggesting novel putative molecular targets for both prognostic assessment and ameliorative therapeutic intervention in seasonal and pandemic influenza.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

PLoS Genet

DOI

EISSN

1553-7404

Publication Date

August 2011

Volume

7

Issue

8

Start / End Page

e1002234

Location

United States

Related Subject Headings

  • Stress, Physiological
  • Ribosomal Proteins
  • Oxidative Stress
  • Middle Aged
  • Influenza, Human
  • Influenza A Virus, H3N2 Subtype
  • Humans
  • Host-Pathogen Interactions
  • Gene Expression Profiling
  • Developmental Biology
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Huang, Y., Zaas, A. K., Rao, A., Dobigeon, N., Woolf, P. J., Veldman, T., … Hero, A. O. (2011). Temporal dynamics of host molecular responses differentiate symptomatic and asymptomatic influenza a infection. PLoS Genet, 7(8), e1002234. https://doi.org/10.1371/journal.pgen.1002234
Huang, Yongsheng, Aimee K. Zaas, Arvind Rao, Nicolas Dobigeon, Peter J. Woolf, Timothy Veldman, N Christine Øien, et al. “Temporal dynamics of host molecular responses differentiate symptomatic and asymptomatic influenza a infection.PLoS Genet 7, no. 8 (August 2011): e1002234. https://doi.org/10.1371/journal.pgen.1002234.
Huang Y, Zaas AK, Rao A, Dobigeon N, Woolf PJ, Veldman T, et al. Temporal dynamics of host molecular responses differentiate symptomatic and asymptomatic influenza a infection. PLoS Genet. 2011 Aug;7(8):e1002234.
Huang, Yongsheng, et al. “Temporal dynamics of host molecular responses differentiate symptomatic and asymptomatic influenza a infection.PLoS Genet, vol. 7, no. 8, Aug. 2011, p. e1002234. Pubmed, doi:10.1371/journal.pgen.1002234.
Huang Y, Zaas AK, Rao A, Dobigeon N, Woolf PJ, Veldman T, Øien NC, McClain MT, Varkey JB, Nicholson B, Carin L, Kingsmore S, Woods CW, Ginsburg GS, Hero AO. Temporal dynamics of host molecular responses differentiate symptomatic and asymptomatic influenza a infection. PLoS Genet. 2011 Aug;7(8):e1002234.

Published In

PLoS Genet

DOI

EISSN

1553-7404

Publication Date

August 2011

Volume

7

Issue

8

Start / End Page

e1002234

Location

United States

Related Subject Headings

  • Stress, Physiological
  • Ribosomal Proteins
  • Oxidative Stress
  • Middle Aged
  • Influenza, Human
  • Influenza A Virus, H3N2 Subtype
  • Humans
  • Host-Pathogen Interactions
  • Gene Expression Profiling
  • Developmental Biology