Evidence map›Paper›PMID 37549192›Full record

Trial reportPLoS computational biology2023

Modeling the kinetics of the neutralizing antibody response against SARS-CoV-2 variants after several administrations of Bnt162b2.

Quentin Clairon, Mélanie Prague, Delphine Planas, Timothée Bruel, Laurent Hocqueloux, Thierry Prazuck, Olivier Schwartz, Rodolphe Thiébaut, Jérémie Guedj

2 registry-linked trialsOpen access · goldAbstract readClinical Trial
In one paragraph

Trial report in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.1field-weighted citation impact, top 5% 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.

NCT04750720 nacompletednot on this map

Study of the Kinetics of COVID-19 Antibodies for 24 Months in Patients With Confirmed SARS-CoV-2 Infection According to the Clinical Severity of the Infection.

TypeinterventionalSponsorCentre Hospitalier Régional d'OrléansRan2020 to 2022Enrolled187ConditionsCovid19, SARS-CoV-2ArmsSampling by venipuncture (and eventually by nasopharyngeal swab)
NCT05315583 naterminatednot on this map

Study of the Neutralizing Power of Anti-SARS-CoV-2 (Anti-COVID-19) Serum Antibodies

TypeinterventionalSponsorCentre Hospitalier Régional d'OrléansRan2022 to 2023Enrolled9ConditionsCOVID-19, SARS CoV 2 InfectionArmsCollection of biological samples
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 21 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

9 authors at 4 institutions in 1 country.

Quentin ClaironUniversité de Bordeaux, Inria Bordeaux Sud-Ouest, Bordeaux, France.ORCID 0000-0002-2503-3859
Mélanie PragueUniversité de Bordeaux, Inria Bordeaux Sud-Ouest, Bordeaux, France.
Delphine PlanasVaccine Research Institute, Créteil, France.
Timothée BruelVaccine Research Institute, Créteil, France.
Laurent HocquelouxService des Maladies Infectieuses et Tropicales, Centre Hospitalier Régional, Orléans, France.
Thierry PrazuckService des Maladies Infectieuses et Tropicales, Centre Hospitalier Régional, Orléans, France.
Olivier SchwartzVaccine Research Institute, Créteil, France.
Rodolphe ThiébautUniversité de Bordeaux, Inria Bordeaux Sud-Ouest, Bordeaux, France.ORCID 0000-0002-5235-3962
Jérémie GuedjUniversité Paris Cité, IAME, Inserm, Paris, France.ORCID 0000-0002-5534-5482
Centre National de la Recherche Scientifique · FRUniversité de Bordeaux · FRCentre hospitalier universitaire d'Orléans · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because SARS-CoV-2 constantly mutates to escape from the immune response, there is a reduction of neutralizing capacity of antibodies initially targeting the historical strain against emerging Variants of Concern (VoC)s. That is why the measure of the protection conferred by vaccination cannot solely rely on the antibody levels, but also requires to measure their neutralization capacity. Here we used a mathematical model to follow the humoral response in 26 individuals that received up to three vaccination doses of Bnt162b2 vaccine, and for whom both anti-S IgG and neutralization capacity was measured longitudinally against all main VoCs. Our model could identify two independent mechanisms that led to a marked increase in measured humoral response over the successive vaccination doses. In addition to the already known increase in IgG levels after each dose, we identified that the neutralization capacity was significantly increased after the third vaccine administration against all VoCs, despite large inter-individual variability. Consequently, the model projects that the mean duration of detectable neutralizing capacity against non-Omicron VoC is between 348 days (Beta variant, 95% Prediction Intervals PI [307; 389]) and 587 days (Alpha variant, 95% PI [537; 636]). Despite the low neutralization levels after three doses, the mean duration of detectable neutralizing capacity against Omicron variants varies between 173 days (BA.5 variant, 95% PI [142; 200]) and 256 days (BA.1 variant, 95% PI [227; 286]). Our model shows the benefit of incorporating the neutralization capacity in the follow-up of patients to better inform on their level of protection against the different SARS-CoV-2 variants. Trial registration: This clinical trial is registered with ClinicalTrials.gov, Trial IDs NCT04750720 and NCT05315583.

Indexed as

Antibodies, NeutralizingCOVID-19Antibodies, ViralBNT162 VaccineHumansImmunoglobulin GSARS-CoV-2VaccinationAntibodies, NeutralizingAntibodies, ViralBNT162 VaccineImmunoglobulin G

Identifiers

PMID37549192
PMCPMC10434962
OpenAlexW4385622522

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.