Evidence map›Paper›PMID 37662950›Full record

ArticleFrontiers in immunology2023

Five doses of the mRNA vaccination potentially suppress ancestral-strain stimulated SARS-CoV2-specific cellular immunity: a cohort study from the Fukushima vaccination community survey, Japan.

Yuta Tani, Morihito Takita, Masatoshi Wakui, Hiroaki Saito, Takamitsu Nishiuchi, Tianchen Zhao, Chika Yamamoto, Takeshi Kawamura, Akira Sugiyama, Aya Nakayama and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

14 authors at 6 institutions in 1 country.

Yuta TaniMedical Governance Research Institute, Tokyo, Japan.
Morihito TakitaMedical Governance Research Institute, Tokyo, Japan.
Masatoshi WakuiDepartment of Laboratory Medicine, Keio University School of Medicine, Tokyo, Japan.
Hiroaki SaitoDepartment of Radiation Health Management, Fukushima Medical University, Fukushima, Japan.
Takamitsu NishiuchiDepartment of Internal Medicine, Soma Central Hospital, Fukushima, Japan.
Tianchen ZhaoDepartment of Radiation Health Management, Fukushima Medical University, Fukushima, Japan.
Chika YamamotoDepartment of Radiation Health Management, Fukushima Medical University, Fukushima, Japan.
Takeshi KawamuraProteomics Laboratory, Isotope Science Center, The University of Tokyo, Tokyo, Japan.
Akira SugiyamaProteomics Laboratory, Isotope Science Center, The University of Tokyo, Tokyo, Japan.
Aya NakayamaProteomics Laboratory, Isotope Science Center, The University of Tokyo, Tokyo, Japan.
Yudai KanekoLaboratory for Systems Biology and Medicine, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan.
Tatsuhiko KodamaLaboratory for Systems Biology and Medicine, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan.
Ryuzaburo ShinahaDepartment of Internal Medicine, Soma Central Hospital, Fukushima, Japan.
Masaharu TsubokuraMedical Governance Research Institute, Tokyo, Japan.
Fukushima Medical University · JPThe University of Tokyo · JPMedical Governance Research Institute · JPSoma Central Hospital · JPKeio University · JPMedical & Biological Laboratories (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The bivalent mRNA vaccine is recommended to address coronavirus disease variants, with additional doses suggested for high-risk groups. However, the effectiveness, optimal frequency, and number of doses remain uncertain. In this study, we examined the long-term cellular and humoral immune responses following the fifth administration of the mRNA severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine in patients undergoing hemodialysis. To our knowledge, this is the first study to monitor long-term data on humoral and cellular immunity dynamics in high-risk populations after five doses of mRNA vaccination, including the bivalent mRNA vaccine. Whereas most patients maintained humoral immunity throughout the observation period, we observed reduced cellular immune reactivity as measured by the ancestral-strain-stimulated ELISpot assay in a subset of patients. Half of the individuals (50%; 14/28) maintained cellular immunity three months after the fifth dose, despite acquiring humoral immunity. The absence of a relationship between positive controls and T-Spot reactivity suggests that these immune alterations were specific to SARS-CoV-2. In multivariable analysis, participants aged ≥70 years showed a marginally significant lower likelihood of having reactive results. Notably, among the 14 individuals who received heterologous vaccines, 13 successfully acquired cellular immunity, supporting the effectiveness of this administration strategy. These findings provide valuable insights for future vaccination strategies in vulnerable populations. However, further research is needed to evaluate the involvement of immune tolerance and exhaustion through repeated vaccination to optimize immunization strategies.

Indexed as

COVID-19RNA, ViralCohort StudiesHumansImmunity, CellularJapanSARS-CoV-2VaccinationRNA, Viralcellular immunitydialysis patientimmune imprintingSARS-CoV2vaccinationvulnerable population

Identifiers

PMID37662950
PMCPMC10469480
OpenAlexW4385967086

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.