Evidence map›Paper›PMID 31504634›Full record

ArticleThe Journal of infectious diseases2020

Evidence That Blunted CD4 T-Cell Responses Underlie Deficient Protective Antibody Responses to Influenza Vaccines in Repeatedly Vaccinated Human Subjects.

Katherine A Richards, Ian Shannon, John J Treanor, Hongmei Yang, Jennifer L Nayak, Andrea J Sant

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Trial
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  4. Antiviral CD4Communications medicine · 2026
    Article
  5. Influenza vaccine-specific CD4NPJ vaccines · 2026
    Article
  6. Article
  7. Review
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  9. Article
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  11. Article
  12. Review
  13. Article
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  19. Strong influenza-induced TProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Katherine A RichardsDavid H. Smith Center for Vaccine Biology and Immunology, Department of Microbiology and Immunology, New York.
Ian ShannonDepartments of Pediatrics, New York.
John J TreanorMedicine, Division of Infectious Diseases, New York.
Hongmei YangDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, New York.
Jennifer L NayakDepartments of Pediatrics, New York.
Andrea J SantDavid H. Smith Center for Vaccine Biology and Immunology, Department of Microbiology and Immunology, New York.

Funding

NIAID NIH HHS HHSN272201400005C
6 · The paper itself

Abstract

Despite the benefits of yearly influenza vaccination, accumulating evidence suggests that diminished vaccine efficacy may be related to repeated vaccination. Although studied at the level of B-cell responses, CD4 T-cell responses have not yet been examined. In this study, we analyze CD4 T-cell responses to influenza vaccination in subjects who differ in their vaccine history. We find a striking disparity in their responses, with previously vaccinated subjects exhibiting significantly blunted CD4 T-cell responses and diminished antibody responses. These results suggest that limiting CD4 T-cell help mteaserrlie the diminished or altered antibody responses in repeatedly vaccinated subjects.

Indexed as

Immunogenicity, VaccineVaccinationAdolescentAdultAntibodies, ViralCD4-Positive T-LymphocytesHemagglutinin Glycoproteins, Influenza VirusHumansInfluenza A virusInfluenza B virusInfluenza, HumanInfluenza VaccinesMiddle AgedOrthomyxoviridaeT Follicular Helper CellsVaccines, InactivatedAntibodies, ViralHemagglutinin Glycoproteins, Influenza VirusInfluenza VaccinesVaccines, InactivatedCD4 T cellscell-mediated immunityinfluenza vaccineinfluenza virus

Identifiers

PMID31504634
PMCPMC8494023

What OpenQuestion holds

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Registered trials

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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.