Evidence map›Paper›PMID 31399519›Full record

ArticleJournal of immunology (Baltimore, Md. : 1950)2019

A Novel Vaccine Strategy to Overcome Poor Immunogenicity of Avian Influenza Vaccines through Mobilization of Memory CD4 T Cells Established by Seasonal Influenza.

Anthony T DiPiazza, Shufang Fan, Ajitanuj Rattan, Marta L DeDiego, Francisco Chaves, Gabriele Neumann, Yoshihiro Kawaoka, Andrea J Sant

Open access · bronzeAbstract read
In one paragraph

Article in Journal of immunology (Baltimore, Md. : 1950), 2019. 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
1.8field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 23 citations in OpenAlex.

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  12. Strong influenza-induced TProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  13. Article
  14. Immunity to Influenza Infection in Humans.Cold Spring Harbor perspectives in medicine · 2021
    Review
  15. Article
  16. Review
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 at 2 institutions in 1 country.

Anthony T DiPiazzaDepartment of Microbiology and Immunology, D.H. Smith Center for Vaccine Biology and Immunology, University of Rochester Medical Center, Rochester, NY 14642; and.ORCID 0000-0003-1989-8351
Shufang FanDepartment of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin, Madison, Madison, WI 53706.ORCID 0000-0002-1606-6229
Ajitanuj RattanDepartment of Microbiology and Immunology, D.H. Smith Center for Vaccine Biology and Immunology, University of Rochester Medical Center, Rochester, NY 14642; and.
Marta L DeDiegoDepartment of Microbiology and Immunology, D.H. Smith Center for Vaccine Biology and Immunology, University of Rochester Medical Center, Rochester, NY 14642; and.ORCID 0000-0002-7888-7372
Francisco ChavesDepartment of Microbiology and Immunology, D.H. Smith Center for Vaccine Biology and Immunology, University of Rochester Medical Center, Rochester, NY 14642; and.ORCID 0000-0002-2818-2526
Gabriele NeumannDepartment of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin, Madison, Madison, WI 53706.
Yoshihiro KawaokaDepartment of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin, Madison, Madison, WI 53706 yoshihiro.kawaoka@wisc.edu andrea_sant@urmc.rochester.edu.
Andrea J SantDepartment of Microbiology and Immunology, D.H. Smith Center for Vaccine Biology and Immunology, University of Rochester Medical Center, Rochester, NY 14642; and yoshihiro.kawaoka@wisc.edu andrea_sant@urmc.rochester.edu.
University of Rochester Medical Center · USUniversity of Wisconsin–Madison · US

Funding

The T32 Predoctoral Training Program in Immunology (PTPI)T32AI007285 · NIAID · UNIVERSITY OF ROCHESTER · PI Scott Andrew Gerber, JACQUES Robert · 1986 to 2026
$7.6M
NIAID NIH HHS HHSN272201400005CNIAID NIH HHS HHSN272201400008CNIAID NIH HHS T32 AI007285
6 · The paper itself

Abstract

Avian influenza vaccines exhibit poor immunogenicity in humans. We hypothesized that one factor underlying weak B cell responses was sequence divergence between avian and seasonal influenza hemagglutinin proteins, thus limiting the availability of adequate CD4 T cell help. To test this, a novel chimeric hemagglutinin protein (cH7/3) was derived, comprised of the stem domain from seasonal H3 hemagglutinin and the head domain from avian H7. Immunological memory to seasonal influenza was established in mice, through strategies that included seasonal inactivated vaccines, Flumist, and synthetic peptides derived from the H3 stalk domain. After establishment of memory, mice were vaccinated with H7 or cH7/3 protein. The cH7/3 Ag was able to recall H3-specific CD4 T cells, and this potentiated CD4 T cell response was associated with enhanced early germinal center response and rapid elicitation of Abs to H7, including Abs specific for the H7 head domain. These results suggest that in pandemic situations, inclusion of CD4 T cell epitopes from seasonal viruses have the potential to overcome the poor immunogenicity of avian vaccines by helping B cells and conferring greater subtype-specific Ab response to viral HA.

Indexed as

AnimalsAntibodies, NeutralizingAntibodies, ViralAntibody FormationBirdsCD4-Positive T-LymphocytesEpitopes, T-LymphocyteFemaleHemagglutinin Glycoproteins, Influenza VirusHumansImmunologic MemoryInfluenza A virusInfluenza, HumanInfluenza in BirdsInfluenza VaccinesMiceAntibodies, NeutralizingAntibodies, ViralEpitopes, T-LymphocyteFluMistHemagglutinin Glycoproteins, Influenza VirusInfluenza VaccinesVaccines, Inactivated

Identifiers

PMID31399519
PMCPMC6737897
OpenAlexW2967827762

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.