ArticleJournal of medical virology2025
Modeling Antibody Kinetics Post-mRNA Booster Vaccination and Protection Durations Against SARS-CoV-2 Infection.
Article in Journal of medical virology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- AI-driven big data analysis and predictive modeling of infectious disease immunity: from correlates to causal, multiscale understanding.Archives of microbiology · 2026Review
- AI-driven big data analysis and predictive modeling of infectious disease immunity: from correlates to causal, multiscale understanding.Archives of microbiology · 2026Review
- Mechanisms underlying immunodynamics of layered defenses elicited by mRNA vaccination in children.BMC medicine · 2026Article
- Adherence to the Mediterranean diet, particularly olive oil intake, and metabolic health parameters are independently associated with SARS-CoV-2 vaccine-induced IgG responses.Metabolism open · 2026Article
- Informing the Value of "Boosting" Immunocompetent Adults based on Immune Responses Among US Service Members to SARS-CoV-2 Variants in Late 2024.Open forum infectious diseases · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
19 authors.
Funding
Abstract
Understanding the dynamics of SARS-CoV-2 antibody levels post-booster vaccination is important to inform their durations of protection. Longitudinal antibody data was collected on the day of booster vaccination, as well as 28, 180, and 360 days after. Using nonlinear mixed effects models, we mapped the kinetics of binding IgA and IgG against wild-type (WT) and Omicron BA.1 spike proteins. Furthermore, we analyzed the association between antibody levels and risk of SARS-CoV-2 vaccine breakthrough infection through survival analyzes, and predicted durations of protection against infection. We found that the antibody response waned more rapidly following the Pfizer/BioNTech BNT162b2 booster compared to the Moderna mRNA-1273 booster. However, individuals boosted with the Pfizer vaccine exhibited a steeper rebound in antibody levels after infection. Faster postinfection antibody growth rates were observed in the elderly, females, and those with late infections. High antibody levels for WT IgG and BA.1 IgA at day 28 post-booster were associated with reduced infection risk; hazard ratios were 0.47 (95% CI [0.22, 0.98]) and 0.36 (95% CI [0.17, 0.78]), respectively, compared to low levels. Time-varying antibody levels showed better survival model fits. At medium COVID-19 case incidence (621 cases per million per day), a binding BA.1 IgA response of at least 20% is needed to sustain 80% protection against infection over 155 days post-booster. Our estimates of protection durations against SARS-CoV-2 infection post-booster vaccination may help inform the ideal frequency of boosters.
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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.