Evidence map›Paper›PMID 25943206›Full record

ArticleThe Journal of infectious diseases2015

Interval Between Infections and Viral Hierarchy Are Determinants of Viral Interference Following Influenza Virus Infection in a Ferret Model.

Karen L Laurie, Teagan A Guarnaccia, Louise A Carolan, Ada W C Yan, Malet Aban, Stephen Petrie, Pengxing Cao, Jane M Heffernan, Jodie McVernon, Jennifer Mosse and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 1 pooled it
8.1field-weighted citation impact, top 2% of its field
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

75 citing papers in PubMed, 1 synthesis or guideline pooled it, 120 citations in OpenAlex.

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 5 institutions in 2 countries.

Karen L LaurieWHO Collaborating Centre for Reference and Research on Influenza, Victorian Infectious Diseases Reference Laboratory at the Peter Doherty Institute for Infection and Immunity School of Applied and Biomedical Sciences, Federation University, Churchill, Australia.
Teagan A GuarnacciaWHO Collaborating Centre for Reference and Research on Influenza, Victorian Infectious Diseases Reference Laboratory at the Peter Doherty Institute for Infection and Immunity School of Applied and Biomedical Sciences, Federation University, Churchill, Australia.
Louise A CarolanWHO Collaborating Centre for Reference and Research on Influenza, Victorian Infectious Diseases Reference Laboratory at the Peter Doherty Institute for Infection and Immunity.
Ada W C YanCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne.
Malet AbanWHO Collaborating Centre for Reference and Research on Influenza, Victorian Infectious Diseases Reference Laboratory at the Peter Doherty Institute for Infection and Immunity.
Stephen PetrieCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne.
Pengxing CaoCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne.
Jane M HeffernanCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne Modelling Infection and Immunity Laboratory, Centre for Disease Modelling, York Institute for Health Research Program in Mathematics and Statistics, York University, Toronto, Canada.
Jodie McVernonCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne Modelling and Simulation Research Group, Murdoch Childrens Research Institute, Royal Children's Hospital, Melbourne.
Jennifer MosseSchool of Applied and Biomedical Sciences, Federation University, Churchill, Australia.
Anne KelsoWHO Collaborating Centre for Reference and Research on Influenza, Victorian Infectious Diseases Reference Laboratory at the Peter Doherty Institute for Infection and Immunity.
James M McCawCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne Modelling and Simulation Research Group, Murdoch Childrens Research Institute, Royal Children's Hospital, Melbourne.
Ian G BarrWHO Collaborating Centre for Reference and Research on Influenza, Victorian Infectious Diseases Reference Laboratory at the Peter Doherty Institute for Infection and Immunity School of Applied and Biomedical Sciences, Federation University, Churchill, Australia.
Peter Doherty Institute · AUUniversity of Melbourne · AUMurdoch Children's Research Institute · AUVictorian Infectious Diseases Reference Laboratory · AUFederation University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpidemiological studies suggest that, following infection with influenza virus, there is a short period during which a host experiences a lower susceptibility to infection with other influenza viruses. This viral interference appears to be independent of any antigenic similarities between the viruses. We used the ferret model of human influenza to systematically investigate viral interference.

methodsFerrets were first infected then challenged 1-14 days later with pairs of influenza A(H1N1)pdm09, influenza A(H3N2), and influenza B viruses circulating in 2009 and 2010.

resultsViral interference was observed when the interval between initiation of primary infection and subsequent challenge was <1 week. This effect was virus specific and occurred between antigenically related and unrelated viruses. Coinfections occurred when 1 or 3 days separated infections. Ongoing shedding from the primary virus infection was associated with viral interference after the secondary challenge.

conclusionsThe interval between infections and the sequential combination of viruses were important determinants of viral interference. The influenza viruses in this study appear to have an ordered hierarchy according to their ability to block or delay infection, which may contribute to the dominance of different viruses often seen in an influenza season.

Indexed as

Disease Models, AnimalAnimalsCoinfectionFerretsHumansInfluenza, HumanOrthomyxoviridaeViral InterferenceVirus SheddingA(H1N1)pdm09A(H3N2)ferrethierarchyinfluenzainfluenza Bpandemicseasonal influenzatemporary immunityviral interference

Identifiers

PMID25943206
PMCPMC4633756
OpenAlexW2108504782

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.