Evidence map›Paper›PMID 28955185›Full record

ReviewThe Yale journal of biology and medicine2017

Influenza Pathogenesis in Genetically Defined Resistant and Susceptible Murine Strains

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Shelly J Samet, Stephen M Tompkins

Abstract readReview
In one paragraph

Review in The Yale journal of biology and medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  9. Review
  10. Review
  11. Article
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  14. Article
  15. The Impact of Non-Neurotropic Influenza Strains on the Brain: A Role for Microglial Priming?The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  16. Bayesian Diallel Analysis RevealsG3 (Bethesda, Md.) · 2018
    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

2 authors.

Shelly J SametCenter for Vaccines and Immunology, University of Georgia, Athens, GA.
Stephen M TompkinsCenter for Vaccines and Immunology, University of Georgia, Athens, GA.

Funding

NIAID NIH HHS HHSN272201400004C
6 · The paper itself

Abstract

The murine infection model is a cornerstone for influenza virus research and includes aspects such as disease pathogenesis, immunobiology, and vaccine and antiviral drug development. One compelling feature of the murine model is the availability of inbred mouse strains, each with a unique genetic makeup and potential for variable responses to influenza infection. Using highly controlled infection studies, the response to influenza virus infection is classified on a spectrum from susceptible to resistant, reflecting severe morbidity and high mortality, to limited or no morbidity and no mortality. Although there have been a variety of studies establishing disparate pathogenesis amongst various murine strains, thus far, there is no consensus regarding the determinants of the outcome of infection. The goal of this review is to explore and discuss the differences in pathogenesis, as well as the innate and adaptive immune responses to influenza infection that have been described in susceptible and resistant mouse strains. Understanding how host genetics influences the response to influenza infection provides valuable insight into the variable responses seen in vaccine or drug efficacy studies, as well as indicates possible mechanisms contributing to increased disease severity in humans infected with influenza virus with no known risk factors.

Indexed as

AnimalsDisease Models, AnimalImmunity, InnateInfluenza VaccinesMiceMice, Inbred StrainsOrthomyxoviridae InfectionsInfluenza VaccinesimmunologyInfluenza virusmurine strainssusceptibility

Identifiers

PMID28955185
PMCPMC5612189

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.