Evidence map›Paper›PMID 41819108›Full record

ArticleImmunology and cell biology2026

Age-related differences in mRNA vaccine immunogenicity and adjuvancy.

Shivali Savita Chinni, Gemma S Trollope, Patrick Leung, Jonathan L McQualter, Chee Wah Tan, Linfa Wang, Leonard Lim, Adam K Wheatley, Jennifer A Juno, Stephen J Kent and 3 more

Abstract read
In one paragraph

Article in Immunology and cell biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Shivali Savita ChinniSchool of Health and Biomedical Sciences, Royal Melbourne Institute of Technology (RMIT) University, Bundoora, VIC, Australia.
Gemma S TrollopeSchool of Health and Biomedical Sciences, Royal Melbourne Institute of Technology (RMIT) University, Bundoora, VIC, Australia.
Patrick LeungSchool of Health and Biomedical Sciences, Royal Melbourne Institute of Technology (RMIT) University, Bundoora, VIC, Australia.
Jonathan L McQualterSchool of Health and Biomedical Sciences, Royal Melbourne Institute of Technology (RMIT) University, Bundoora, VIC, Australia.
Chee Wah TanInfectious Diseases Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Linfa WangDuke-NUS Medical School, Singapore, Singapore.
Leonard LimMonash Institute of Pharmaceutical Sciences (MIPS), Monash University, Parkville, VIC, Australia.
Adam K WheatleyDepartment of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia.
Jennifer A JunoDepartment of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia.
Stephen J KentDepartment of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia.
Hareth A Al-WassitiMonash Institute of Pharmaceutical Sciences (MIPS), Monash University, Parkville, VIC, Australia.
Colin W PoutonMonash Institute of Pharmaceutical Sciences (MIPS), Monash University, Parkville, VIC, Australia.
Kylie M QuinnSchool of Health and Biomedical Sciences, Royal Melbourne Institute of Technology (RMIT) University, Bundoora, VIC, Australia.

Funding

Medical Research Future Fund APP2013870mRNA Victoria APPL-2419955RMIT University Vice-Chancellor's Research Fellowship
6 · The paper itself

Abstract

Older people mount poorer adaptive immune responses to mRNA vaccines, leaving them more vulnerable to infection with SARS-CoV-2. To design better mRNA vaccines for older people, we need to understand how aging alters mechanisms of adjuvancy that shape immunogenicity. To first define age-related changes in immunogenicity, we vaccinated young (< 5 months old) and aged (> 18 months old) C57BL/6 mice with an mRNA vaccine encoding the SARS-CoV-2 spike protein. T cell responses were markedly reduced in aged mice at peak and memory timepoints, using intracellular cytokine staining or activation-induced marker assays. Spike and receptor-binding domain binding and neutralizing antibody titers were also markedly reduced in aged mice, consistent with deficits seen in older humans. To define age-related changes in adjuvancy mechanisms, we vaccinated young and aged mice with mRNA vaccines loaded with DiD lipid dye or mScarlet mRNA, then tracked dendritic cell (DC) numbers, phenotype, vaccine uptake, antigen expression, and activation, as well as local and systemic cytokine production. DC numbers in the draining lymph nodes (dLN) were dramatically reduced before and early after vaccination in aged compared to young mice, with delayed recruitment of DCs to the dLN. Vaccine uptake was not impacted by age, but the frequency of DCs expressing antigen increased with age and DC activation decreased with age. Aging accelerated the expression of some cytokines (IL-1α, IL-6), while delaying others (IFNγ, MCP-1) in dLNs and sera. This illustrates that aging impairs multiple adjuvancy mechanisms but mRNA vaccine strategies that address these age-related deficits could improve responses in older people.

Indexed as

AgingCOVID-19COVID-19 VaccinesImmunogenicity, VaccinemRNA VaccinesSARS-CoV-2Age FactorsAnimalsAntibodies, NeutralizingAntibodies, ViralCytokinesDendritic CellsFemaleMiceMice, Inbred C57BLRNA, MessengerAntibodies, NeutralizingAntibodies, ViralCOVID-19 VaccinesCytokinesmRNA VaccinesRNA, MessengerSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2adjuvancyagingimmunogenicitymousemRNA vaccine

Identifiers

PMID41819108
PMCPMC13071135

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Registered trials

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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 OpenQuestion graph.