Evidence map›Paper›PMID 40934735›Full record

ArticleVaccine2025

Within-host mathematical models to study antibody kinetics after the prophylactic Ebola vaccine in the Democratic Republic of the Congo.

Irene Garcia-Fogeda, Steven Abrams, Stijn Vanhee, Maha Salloum, Benson Ogunjimi, Niel Hens

Abstract read
In one paragraph

Article in Vaccine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

6 authors.

Irene Garcia-FogedaCentre for Health Economics Research and Modelling Infectious Diseases (CHERMID), Vaccine & Infectious Diseases Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium. Electronic address: irene.garcia-fogeda@uantwerpen.be.
Steven AbramsGlobal Health Institute (GHI), Family Medicine and Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium; Data Science Institute (DSI), Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), Hasselt University, Hasselt, Belgium.
Stijn VanheeDepartment of Head and Skin, Ghent University, Belgium.
Maha SalloumGlobal Health Institute (GHI), Family Medicine and Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium.
Benson OgunjimiCentre for Health Economics Research and Modelling Infectious Diseases (CHERMID), Vaccine & Infectious Diseases Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium; Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), Antwerp, Belgium; Antwerp Center for Translational Immunology and Virology (ACTIV), Vaccine & Infectious Diseases Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium; Department of Paediatrics, University Hospital Antwerp, Antwerp, Belgium.
Niel HensCentre for Health Economics Research and Modelling Infectious Diseases (CHERMID), Vaccine & Infectious Diseases Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium; Data Science Institute (DSI), Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), Hasselt University, Hasselt, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ebola virus disease remains a threat in different Sub-Saharan African countries more particularly in the Democratic Republic of Congo, where persistent outbreaks are driven by human populations living in close proximity to animal reservoirs. While vaccines like Ad26.ZEBOV and MVA-BN-Filo are safe and immunogenic, the dynamics of antibody responses after the two-dose regimen and booster vaccination are not fully understood. Within-host mathematical models offer valuable insights into disease dynamics and waning immunity, but data-driven mechanistic models of antibody kinetics remain scarce. The present study seeks to elucidate the processes involved in antibody kinetics after the two-dose vaccine regimen with Ad26.ZEBOV and MVA-BN-Filo vaccines, followed by a booster dose vaccination with Ad26.ZEBOV, addressing challenges in inference for and implementation of within-host approaches. By integrating established theoretical frameworks with recent empirical findings on antibody kinetics following Ebola vaccination, we illustrate how mechanistic modeling can enhance and refine our understanding of antibody dynamics. Specifically, we emphasize the distinction in the half-life of antibody responses at different vaccination time points and explore the role of vaccine antigens in eliciting an immunological response through the formation and activation of germinal center mediated response. Careful consideration was given to the development of a model that is both interpretable and practically feasible. The half-life of the antibody response was found to be longer after booster vaccination compared to after the second vaccine dose, indicating a steadier decay process. This may be due to the improved quality of antibodies generated, the formation of memory B cells sustaining antibody production, and antigen-antibody binding. This study highlights critical considerations for implementing within-host mechanistic models and the need for robust data to accurately estimate model parameters. Further research is essential to elucidate the decay dynamics of memory B cells and long-lived plasma cells, as these processes play a pivotal role in sustaining antibody-mediated immunity.

Indexed as

Antibodies, ViralEbola VaccinesHemorrhagic Fever, EbolaModels, TheoreticalAntibody FormationDemocratic Republic of the CongoEbolavirusHumansImmunization, SecondaryKineticsVaccinationAntibodies, ViralEbola VaccinesAntibody kineticsEbolaHumoral immunityMechanistic modelsVaccinationWithin-host mathematical models

Identifiers

PMID40934735
PMCPMC12519101

What Socratic holds

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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 Socratic graph.