Evidence map›Paper›PMID 36006568›Full record

ArticleJournal of clinical immunology2023

Monitoring of Both Humoral and Cellular Immunities Could Early Predict COVID-19 Vaccine Efficacy Against the Different SARS-CoV2 Variants.

Manon Vogrig, Anne-Emmanuelle Berger, Thomas Bourlet, Louis Waeckel, Alice Haccourt, Alice Chanavat, David Hupin, Frederic Roche, Elisabeth Botelho-Nevers, Bruno Pozzetto and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Manon VogrigImmunology Department, University Hospital of Saint-Etienne, 42055, Saint-Etienne, France.
Anne-Emmanuelle BergerImmunology Department, University Hospital of Saint-Etienne, 42055, Saint-Etienne, France.
Thomas BourletInfectious Agents and Hygiene Department, University Hospital of Saint-Etienne, Saint-Priest-en-Jarez, France.
Louis WaeckelImmunology Department, University Hospital of Saint-Etienne, 42055, Saint-Etienne, France.
Alice HaccourtImmunology Department, University Hospital of Saint-Etienne, 42055, Saint-Etienne, France.
Alice ChanavatImmunology Department, University Hospital of Saint-Etienne, 42055, Saint-Etienne, France.
David HupinClinical and Exercise Physiology, University Hospital of Saint-Etienne, Saint-Etienne, France.
Frederic RocheClinical and Exercise Physiology, University Hospital of Saint-Etienne, Saint-Etienne, France.
Elisabeth Botelho-NeversCIRI - Centre International de Recherche en Infectiologie, Team GIMAP, Université Claude Bernard Lyon 1, Inserm, U1111, CNRS, UMR530, F42023, Saint-Etienne, France.
Bruno PozzettoInfectious Agents and Hygiene Department, University Hospital of Saint-Etienne, Saint-Priest-en-Jarez, France.
Stéphane PaulImmunology Department, University Hospital of Saint-Etienne, 42055, Saint-Etienne, France. stephane.paul@chu-st-etienne.fr.ORCID 0000-0002-8830-4273
Université Claude Bernard Lyon 1 · FRCentre Hospitalier Universitaire de Saint-Étienne · FRInstitute Cancer De La Loire Lucien Neuwirth · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reliable immunoassays are essential to early predict and monitor vaccine efficacy against SARS-CoV-2. The performance of an Interferon Gamma Release Assay (IGRA, QuantiFERON® SARS-CoV-2), and a current anti-spike serological test, compared to a plaque reduction neutralization test (PRNT) taken as gold standard were compared. Eighty vaccinated individuals, whose 16% had a previous history of COVID-19, were included in a longitudinal prospective study and sampled before and two to four weeks after each dose of vaccine. In non-infected patients, 2 doses were required for obtaining both positive IGRA and PRNT assays, while serology was positive after one dose. Each dose of vaccine significantly increased the humoral and cellular response. By contrast, convalescent subjects needed a single dose of vaccine to be positive on all 3 tests. Both IGRA and current serology assay were found predictive of a positive titer of neutralizing antibodies that is correlated with vaccine protection. Patients over 65 or 80 years old had a significantly reduced response. The response tended to be better with the heterologous scheme (vs. homologous) and with the mRNA-1273 vaccine (vs. BNT162b2) in the homologous group, in patients under 55 and under 65 years old, respectively. Finally, decrease intensity or absence of IGRA response and to a less extent of anti-spike serology were also correlated to reinfection which has occurred during the follow up. In conclusion, both IGRA and current anti-spike serology assays could be used at defined thresholds to monitor the vaccine response against SARS-CoV-2 and to simply identify non-responding individuals after a complete vaccination scheme. Two available specific tests (IGRA and anti-spike antibodies) could early assess the vaccine-induced immunity against SARS-CoV-2 at the individual scale, to potentially adapt the vaccination scheme in non-responder patients.

Indexed as

COVID-19COVID-19 Vaccines2019-nCoV Vaccine mRNA-1273AgedAged, 80 and overAntibodies, NeutralizingAntibodies, ViralBNT162 VaccineHumansImmunity, CellularImmunity, HumoralProspective StudiesSARS-CoV-2Vaccination2019-nCoV Vaccine mRNA-1273Antibodies, NeutralizingAntibodies, ViralBNT162 VaccineCOVID-19 VaccinesantibodyIGRAneutralizationSARS-CoV-2vaccination

Identifiers

PMID36006568
PMCPMC9403229
OpenAlexW4293105270

What OpenQuestion holds

Textmetadata
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.