Evidence map›Paper›PMID 36481777›Full record

ArticleScientific reports2022

Long-term durability of immune responses to the BNT162b2 and mRNA-1273 vaccines based on dosage, age and sex.

Chapin S Korosec, Suzan Farhang-Sardroodi, David W Dick, Sameneh Gholami, Mohammad Sajjad Ghaemi, Iain R Moyles, Morgan Craig, Hsu Kiang Ooi, Jane M Heffernan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
5.2field-weighted citation impact, top 3% 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

40 citing papers in PubMed, 54 citations in OpenAlex.

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  20. Mechanistic models of humoral kinetics following COVID-19 vaccination.Journal of the Royal Society, Interface · 2025
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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.

Chapin S KorosecModelling Infection and Immunity Lab, Mathematics and Statistics, York University, 4700 Keele St, Toronto, ON, M3J 1P3, Canada. chapinSkorosec@gmail.com.
Suzan Farhang-SardroodiCentre for Disease Modelling, Mathematics and Statistics, York University, 4700 Keele St, Toronto, ON, M3J 1P3, Canada.
David W DickModelling Infection and Immunity Lab, Mathematics and Statistics, York University, 4700 Keele St, Toronto, ON, M3J 1P3, Canada.
Sameneh GholamiModelling Infection and Immunity Lab, Mathematics and Statistics, York University, 4700 Keele St, Toronto, ON, M3J 1P3, Canada.
Mohammad Sajjad GhaemiDigital Technologies Research Centre, National Research Council Canada, 222 College Street, Toronto, ON, M5T 3J1, Canada.
Iain R MoylesModelling Infection and Immunity Lab, Mathematics and Statistics, York University, 4700 Keele St, Toronto, ON, M3J 1P3, Canada.
Morgan CraigDepartment of Mathematics and Statistics, Université de Montréal & Sainte-Justine University Hospital Research Centre, 3175, ch. Côte Sainte-Catherine, Montréal, QC, H3T 1C5, Canada.
Hsu Kiang OoiDigital Technologies Research Centre, National Research Council Canada, 222 College Street, Toronto, ON, M5T 3J1, Canada.
Jane M HeffernanModelling Infection and Immunity Lab, Mathematics and Statistics, York University, 4700 Keele St, Toronto, ON, M3J 1P3, Canada. jmheffer@yorku.ca.
York University · CANational Research Council Canada · CAUniversité de Montréal · CAUniversity of Manitoba · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lipid nanoparticle (LNP)-formulated mRNA vaccines BNT162b2 and mRNA-1273 are a widely adopted multi vaccination public health strategy to manage the COVID-19 pandemic. Clinical trial data has described the immunogenicity of the vaccine, albeit within a limited study time frame. Here, we use a within-host mathematical model for LNP-formulated mRNA vaccines, informed by available clinical trial data from 2020 to September 2021, to project a longer term understanding of immunity as a function of vaccine type, dosage amount, age, and sex. We estimate that two standard doses of either mRNA-1273 or BNT162b2, with dosage times separated by the company-mandated intervals, results in individuals losing more than 99% humoral immunity relative to peak immunity by 8 months following the second dose. We predict that within an 8 month period following dose two (corresponding to the original CDC time-frame for administration of a third dose), there exists a period of time longer than 1 month where an individual has lost more than 99% humoral immunity relative to peak immunity, regardless of which vaccine was administered. We further find that age has a strong influence in maintaining humoral immunity; by 8 months following dose two we predict that individuals aged 18-55 have a four-fold humoral advantage compared to aged 56-70 and 70+ individuals. We find that sex has little effect on the immune response and long-term IgG counts. Finally, we find that humoral immunity generated from two low doses of mRNA-1273 decays at a substantially slower rate relative to peak immunity gained compared to two standard doses of either mRNA-1273 or BNT162b2. Our predictions highlight the importance of the recommended third booster dose in order to maintain elevated levels of antibodies.

Indexed as

COVID-19mRNA Vaccines2019-nCoV Vaccine mRNA-1273BNT162 VaccineHumansImmunity, HumoralPandemics2019-nCoV Vaccine mRNA-1273BNT162 VaccinemRNA Vaccines

Identifiers

PMID36481777
PMCPMC9732004
OpenAlexW4311582042

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.