Evidence map›Paper›PMID 37038555›Full record

ArticleThe journal of allergy and clinical immunology. Global2023

Differential T-cell and antibody responses induced by mRNA versus adenoviral vectored COVID-19 vaccines in patients with immunodeficiencies.

Ernest T Aguinam, Angalee Nadesalingam, Andrew Chan, Peter Smith, Minna Paloniemi, Diego Cantoni, Jessica Gronlund, Helen Gronlund, George W Carnell, Javier Castillo-Olivares and 4 more

Open access · goldAbstract read
In one paragraph

Article in The journal of allergy and clinical immunology. Global, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Unlocking cancer vaccine potential: What are the key factors?Human vaccines & immunotherapeutics · 2024
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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 3 institutions in 1 country.

Ernest T AguinamLaboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom.
Angalee NadesalingamLaboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom.
Andrew ChanLaboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom.
Peter SmithLaboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom.
Minna PaloniemiLaboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom.
Diego CantoniViral Pseudotype Unit, Medway School of Pharmacy, University of Kent, Kent, United Kingdom.
Jessica GronlundRoyal Papworth Hospital, Cambridgeshire, Cambridge, United Kingdom.
Helen GronlundRoyal Papworth Hospital, Cambridgeshire, Cambridge, United Kingdom.
George W CarnellLaboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom.
Javier Castillo-OlivaresLaboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom.
Nigel TempertonViral Pseudotype Unit, Medway School of Pharmacy, University of Kent, Kent, United Kingdom.
Barbara BlacklawsLaboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom.
Jonathan L HeeneyLaboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom.
Helen BaxendaleRoyal Papworth Hospital, Cambridgeshire, Cambridge, United Kingdom.
University of Cambridge · GBPapworth Hospital · GBMedway School of Pharmacy · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immunodeficient patients (IDPs) are at higher risk of contracting severe coronavirus disease 2019 (COVID-19). Targeted vaccination strategies have been implemented to enhance vaccine-induced protection. In this population, however, clinical effectiveness is variable and the duration of protection unknown. Objective: We sought to better understand the cellular and humoral immune responses to mRNA and adenoviral vectored COVID-19 vaccines in patients with immunodeficiency. Methods: Immune responses to severe acute respiratory syndrome coronavirus 2 spike were assessed after 2 doses of homologous ChAdOx1-nCoV-19 or BNT162b2 vaccines in 112 infection-naive IDPs and 131 healthy health care workers as controls. Predictors of vaccine responsiveness were investigated. Results: Immune responses to vaccination were low, and virus neutralization by antibody was not detected despite high titer binding responses in many IDPs. In those exhibiting response, the frequency of specific T-cell responses in IDPs was similar to controls, while antibody responses were lower. Sustained vaccine specific differences were identified: T-cell responses were greater in ChAdOx1-nCoV-19- compared to BNT162b2-immunized IDPs, and antibody binding and neutralization were greater in all cohorts immunized with BNT162b2. The positive correlation between T-cell and antibody responses was weak and increased with subsequent vaccination. Conclusion: Immunodeficient patients have impaired immune responses to mRNA and viral vector COVID-19 vaccines that appear to be influenced by vaccine formulation. Understanding the relative roles of T-cell- and antibody-mediated protection as well as the potential of heterologous prime and boost immunization protocols is needed to optimize the vaccination approach in these high-risk groups.

Indexed as

antibodiesBNT162b2ChAdOx1-nCoV-19COVID-19health care workersimmunodeficiencyimmunoglobulinsSARS-CoV-2T cellsvaccine

Identifiers

PMID37038555
PMCPMC10015741
OpenAlexW4324331388

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.