Trial reportPLoS computational biology2023
Modeling the kinetics of the neutralizing antibody response against SARS-CoV-2 variants after several administrations of Bnt162b2.
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.
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.
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.
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.
Study of the Neutralizing Power of Anti-SARS-CoV-2 (Anti-COVID-19) Serum Antibodies
Who cites it
14 citing papers in PubMed, 21 citations in OpenAlex.
- Clinical trial simulation of antiviral drugs.Journal of virology · 2026Review
- Mechanisms underlying immunodynamics of layered defenses elicited by mRNA vaccination in children.BMC medicine · 2026Article
- A Nonparametric Approach to Practical Identifiability of Nonlinear Mixed Effects Models.Bulletin of mathematical biology · 2026Article
- Review
- Modeling Antibody Kinetics Post-mRNA Booster Vaccination and Protection Durations Against SARS-CoV-2 Infection.Journal of medical virology · 2025Article
- The Mathematics of Serocatalytic Models With Applications to Public Health Data.Statistics in medicine · 2025Article
- Predicting antibody kinetics and duration of protection against SARS-CoV-2 following vaccination from sparse serological data.PLoS computational biology · 2025Article
- A multiscale model of the action of a capsid assembly modulator for the treatment of chronic hepatitis B.PLoS computational biology · 2025Article
- Negative associations of age and lifestyle factors with the antibody response to the COVID-19 vaccine BNT162b2 in health workers from Spain.Frontiers in immunology · 2025Article
- Serodynamics: A primer and synthetic review of methods for epidemiological inference using serological data.Epidemics · 2024Review
- Article
- Ensemble modeling of SARS-CoV-2 immune dynamics in immunologically naïve rhesus macaques predicts that potent, early innate immune responses drive viral elimination.Frontiers in immunology · 2024Article
- Vaccine and antiviral drug promise for preventing post-acute sequelae of COVID-19, and their combination for its treatment.Frontiers in immunology · 2024Article
- Prediction of long-term humoral response induced by the two-dose heterologous Ad26.ZEBOV, MVA-BN-Filo vaccine against Ebola.NPJ vaccines · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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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.