Host response comparison of H1N1- and H5N1-infected mice identifies two potential death mechanisms
International Journal of Molecular Sciences, ISSN: 1422-0067, Vol: 18, Issue: 8
2017
- 4Citations
- 22Captures
- 1Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations4
- Citation Indexes4
- CrossRef3
- Captures22
- Readers22
- 22
- Mentions1
- Blog Mentions1
- 1
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IJMS, Vol. 18, Pages 1631: Host Response Comparison of H1N1- and H5N1-Infected Mice Identifies Two Potential Death Mechanisms
IJMS, Vol. 18, Pages 1631: Host Response Comparison of H1N1- and H5N1-Infected Mice Identifies Two Potential Death Mechanisms International Journal of Molecular Sciences doi: 10.3390/ijms18081631
Article Description
Highly pathogenic influenza A viruses (IAV) infections represent a serious threat to humans due to their considerable morbidity and mortality capacities. A good understanding of the molecular mechanisms responsible for the acute lung injury observed during this kind of infection is essential to design adapted therapies. In the current study, using an unbiased transcriptomic approach, we compared the host-responses of mice infected with two different subtypes of IAV: H1N1 vs. H5N1. The host-response comparison demonstrated a clear difference between the transcriptomic profiles of H1N1- and H5N1-infected mice despite identical survival kinetics and similar viral replications. The ontological analysis of the two transcriptomes showed two probable causes of death: induction of an immunopathological state of the lung for the H1N1 strain vs. development of respiratory dysfunction in the case of the H5N1 IAV. Finally, a clear signature responsible for lung edema was specifically associated with the H5N1 infection. We propose a potential mechanism of edema development based on predictive bioinformatics tools.
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