Evidence map›Paper›PMID 25086242›Full record

ArticleVirology2014

Impaired heterologous immunity in aged ferrets during sequential influenza A H1N1 infection.

Stéphane G Paquette, Stephen S H Huang, David Banner, Luoling Xu, Alberto Leόn, Alyson A Kelvin, David J Kelvin

Open access · hybridAbstract read
In one paragraph

Article in Virology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

32 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Review
  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

7 authors at 5 institutions in 3 countries.

Stéphane G PaquetteDivision of Experimental Therapeutics, Toronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada; Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Stephen S H HuangDivision of Experimental Therapeutics, Toronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada; Department of Immunology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
David BannerDivision of Experimental Therapeutics, Toronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada.
Luoling XuDivision of Experimental Therapeutics, Toronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada.
Alberto LeόnDivision of Experimental Therapeutics, Toronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada.
Alyson A KelvinImmune Diagnostics & Research, Toronto Medical Discovery Tower, 101 College Street 3-913, Toronto, Ontario, Canada M5G 1L7. Electronic address: akelvin@jidc.org.
David J KelvinDivision of Experimental Therapeutics, Toronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada; Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Department of Immunology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; International Institute of Infection and Immunity, Shantou University Medical College, Guangdong, Shantou, China; Guangdong Provincial Key Laboratory of Infectious Diseases and Molecular Immunopathology, Guangdong, China; Sezione di Microbiologia Sperimentale e Clinica, Dipartimento di Scienze Biomediche, Universita' degli Studi di Sassari, Sassari, Italy.
University Health Network · CADiscovery Centre · CAShantou University · CNToronto General Hospital · CAUniversity of Toronto · CA

Funding

Omics-Based Predictive Modeling of Age-Dependent Outcome to Influenza InfectionU01AI111598 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GHEDIN, ELODIE · 2013 to 2017
$13.3M
NIAID NIH HHS U01 AI111598NIAID NIH HHS UO1AI111598PHS HHS 0038951(123721-3)
6 · The paper itself

Abstract

The major burden of influenza morbidity resides within the elderly population. The challenge managing influenza-associated illness in the elderly is the decline of immune function, where mechanisms leading to immunological senescence have not been elucidated. To better represent the immune environment, we investigated clinical morbidity and immune function during sequential homologous and heterologous H1N1 influenza infection in an aged ferret model. Our findings demonstrated experimentally that aged ferrets had significant morbidity during monosubtypic heterologous 2° challenge with significant weight loss and respiratory symptoms. Furthermore, increased clinical morbidity was associated with slower and shorter hemagglutinin antibody generation and attenuated type 1 T-cell gene responses in peripheral blood. These results revealed dampened immune activation during sequential influenza infection in aged ferrets. With the presence of an aged model, dissecting clinical morbidity, viral dynamics and immune response during influenza infection will aid the development of future prophylactics such as age specific influenza vaccines.

Indexed as

Immunity, HeterologousAgedAge FactorsAgingAnimalsAntibodies, ViralDisease Models, AnimalFerretsHemagglutinin Glycoproteins, Influenza VirusHumansInfluenza A Virus, H1N1 SubtypeInfluenza, HumanInfluenza VaccinesMaleT-LymphocytesAntibodies, ViralHemagglutinin Glycoproteins, Influenza VirusInfluenza VaccinesAgingFerret modelHeterologous immunityHumoral responseImmunological senescenceInfluenzaInfluenza A H1N1Pandemic influenzaT-cells

Identifiers

PMID25086242
PMCPMC4157083
OpenAlexW2127186127

What OpenQuestion holds

Textmetadata
LicenceTDM
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.