Evidence map›Paper›PMID 24131710›Full record

ArticleJournal of virology2014

Alternative reassortment events leading to transmissible H9N1 influenza viruses in the ferret model.

J Brian Kimble, Matthew Angel, Hongquan Wan, Troy C Sutton, Courtney Finch, Daniel R Perez

Abstract read
In one paragraph

Article in Journal of virology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. H9 Influenza Viruses: An Emerging Challenge.Cold Spring Harbor perspectives in medicine · 2020
    Review
  8. Article
  9. FlexibilityJournal of virology · 2019
    Article
  10. Article
  11. Why Do Exceptionally Dangerous Gain-of-Function Experiments in Influenza?Methods in molecular biology (Clifton, N.J.) · 2018
    Review
  12. SELECTED EPIDEMICS & EMERGING PATHOGENS.Disease-a-month : DM · 2017
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  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

6 authors.

J Brian KimbleDepartment of Veterinary Medicine, University of Maryland College Park and Virginia-Maryland Regional College of Veterinary Medicine, College Park, Maryland, USA.
Matthew Angel
Hongquan Wan
Troy C Sutton
Courtney Finch
Daniel R Perez

Funding

NIAID NIH HHS HHSN266200700010C
6 · The paper itself

Abstract

Influenza A H9N2 viruses are common poultry pathogens that occasionally infect swine and humans. It has been shown previously with H9N2 viruses that reassortment can generate novel viruses with increased transmissibility. Here, we demonstrate the modeling power of a novel transfection-based inoculation system to select reassortant viruses under in vivo selective pressure. Plasmids containing the genes from an H9N2 virus and a pandemic H1N1 (pH1N1) virus were transfected into HEK 293T cells to potentially generate the full panel of possible H9 reassortants. These cells were then used to inoculate ferrets, and the population dynamics were studied. Two respiratory-droplet-transmissible H9N1 viruses were selected by this method, indicating a selective pressure in ferrets for the novel combination of surface genes. These results show that a transfection-based inoculation system is a fast and efficient method to model reassortment and highlight the risk of reassortment between H9N2 and pH1N1 viruses.

Indexed as

Disease Models, AnimalAnimalsFemaleFerretsHEK293 CellsHumansInfluenza A virusOrthomyxoviridae InfectionsReassortant Viruses

Identifiers

PMID24131710
PMCPMC3911707

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.