Evidence map›Paper›PMID 26091504›Full record

ArticleScientific reports2015

In Silico Prediction and Experimental Confirmation of HA Residues Conferring Enhanced Human Receptor Specificity of H5N1 Influenza A Viruses.

Sonja Schmier, Ahmed Mostafa, Thomas Haarmann, Norbert Bannert, John Ziebuhr, Veljko Veljkovic, Ursula Dietrich, Stephan Pleschka

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Zoonosis and zooanthroponosis of emerging respiratory viruses.Frontiers in cellular and infection microbiology · 2023
    Review
  5. Article
  6. Article
  7. H5 Influenza Viruses in Egypt.Cold Spring Harbor perspectives in medicine · 2021
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
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

8 authors.

Sonja SchmierGeorg-Speyer-Haus, Institute for Tumor Biology and Experimental Therapy, Paul-Ehrlich-Str. 42-44, Frankfurt, Germany.
Ahmed MostafaInstitute of Medical Virology, Justus Liebig University Giessen, Schubertstrasse 81, Giessen, Germany.
Thomas HaarmannGeorg-Speyer-Haus, Institute for Tumor Biology and Experimental Therapy, Paul-Ehrlich-Str. 42-44, Frankfurt, Germany.
Norbert BannertRobert-Koch-Institute, Division for HIV and other Retroviruses, Nordufer 20, Berlin, Germany.
John ZiebuhrInstitute of Medical Virology, Justus Liebig University Giessen, Schubertstrasse 81, Giessen, Germany.
Veljko VeljkovicCentre for Multidisciplinary Research, Institute of Nuclear Sciences VINCA, Mihaila Petrovica 14, Belgrade, Serbia.
Ursula DietrichGeorg-Speyer-Haus, Institute for Tumor Biology and Experimental Therapy, Paul-Ehrlich-Str. 42-44, Frankfurt, Germany.
Stephan PleschkaInstitute of Medical Virology, Justus Liebig University Giessen, Schubertstrasse 81, Giessen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Newly emerging influenza A viruses (IAV) pose a major threat to human health by causing seasonal epidemics and/or pandemics, the latter often facilitated by the lack of pre-existing immunity in the general population. Early recognition of candidate pandemic influenza viruses (CPIV) is of crucial importance for restricting virus transmission and developing appropriate therapeutic and prophylactic strategies including effective vaccines. Often, the pandemic potential of newly emerging IAV is only fully recognized once the virus starts to spread efficiently causing serious disease in humans. Here, we used a novel phylogenetic algorithm based on the informational spectrum method (ISM) to identify potential CPIV by predicting mutations in the viral hemagglutinin (HA) gene that are likely to (differentially) affect critical interactions between the HA protein and target cells from bird and human origin, respectively. Predictions were subsequently validated by generating pseudotyped retrovirus particles and genetically engineered IAV containing these mutations and characterizing potential effects on virus entry and replication in cells expressing human and avian IAV receptors, respectively. Our data suggest that the ISM-based algorithm is suitable to identify CPIV among IAV strains that are circulating in animal hosts and thus may be a new tool for assessing pandemic risks associated with specific strains.

Indexed as

Amino AcidsAnimalsCell LineComputer SimulationGene ExpressionGenetic VectorsHemagglutinin Glycoproteins, Influenza VirusHumansInfluenza A Virus, H5N1 SubtypeModels, BiologicalModels, MolecularMutationPhenotypeProtein ConformationReceptors, VirusRetroviridaeAmino AcidsHemagglutinin Glycoproteins, Influenza VirusReceptors, Virus

Identifiers

PMID26091504
PMCPMC4473683

What OpenQuestion holds

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Registered trials

None linked

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.