Evidence map›Paper›PMID 20410267›Full record

ArticleJournal of virology2010

Species-specific contribution of the four C-terminal amino acids of influenza A virus NS1 protein to virulence.

Sébastien M Soubies, Christelle Volmer, Guillaume Croville, Josianne Loupias, Brigitte Peralta, Pierrette Costes, Caroline Lacroux, Jean-Luc Guérin, Romain Volmer

Abstract read
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Article in Journal of virology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

65 citing papers in PubMed.

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5 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Sébastien M SoubiesINRA, UMR 1225, Ecole Nationale Vétérinaire de Toulouse, F-31076 Toulouse, France.
Christelle Volmer
Guillaume Croville
Josianne Loupias
Brigitte Peralta
Pierrette Costes
Caroline Lacroux
Jean-Luc Guérin
Romain Volmer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large-scale sequence analyses of influenza viruses revealed that nonstructural 1 (NS1) proteins from avian influenza viruses have a conserved C-terminal ESEV amino acid motif, while NS1 proteins from typical human influenza viruses have a C-terminal RSKV motif. To test the influence of the C-terminal domains of NS1 on the virulence of an avian influenza virus, we generated a wild-type H7N1 virus with an ESEV motif and a mutant virus with an NS1 protein containing a C-terminal RSKV motif by reverse genetics. We compared the phenotypes of these viruses in vitro in human, mouse, and duck cells as well as in vivo in mice and ducks. In human cells, the human C-terminal RSKV domain increased virus replication. In contrast, the avian C-terminal ESEV motif of NS1 increased virulence in mice. We linked this increase in pathogenicity in mice to an increase in virus replication and to a more severe lung inflammation associated with a higher level of production of type I interferons. Interestingly, the human C-terminal RSKV motif of NS1 increased viral replication in ducks. H7N1 virus with a C-terminal RSKV motif replicated to higher levels in ducks and induced higher levels of Mx, a type I interferon-stimulated gene. Thus, we identify the C-terminal domain of NS1 as a species-specific virulence domain.

Indexed as

Amino AcidsAnimalsCell LineDucksGenetic EngineeringHumansInfluenza A virusInfluenza in BirdsLungMiceMutant ProteinsOrthomyxoviridae InfectionsProtein Structure, TertiaryRecombination, GeneticViral Nonstructural ProteinsVirulenceAmino AcidsINS1 protein, influenza virusMutant ProteinsViral Nonstructural ProteinsVirulence Factors

Identifiers

PMID20410267
PMCPMC2903243

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.