Evidence map›Paper›PMID 32434990›Full record

ArticleJCI insight2020

Self-assembling influenza nanoparticle vaccines drive extended germinal center activity and memory B cell maturation.

Hannah G Kelly, Hyon-Xhi Tan, Jennifer A Juno, Robyn Esterbauer, Yi Ju, Wenbo Jiang, Verena C Wimmer, Brigette C Duckworth, Joanna R Groom, Frank Caruso and 3 more

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

72 citing papers in PubMed, 118 citations in OpenAlex.

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12 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 3 countries.

Hannah G KellyDepartment of Microbiology and Immunology, University of Melbourne, The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia.
Hyon-Xhi TanDepartment of Microbiology and Immunology, University of Melbourne, The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia.
Jennifer A JunoDepartment of Microbiology and Immunology, University of Melbourne, The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia.
Robyn EsterbauerDepartment of Microbiology and Immunology, University of Melbourne, The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia.
Yi JuARC Centre of Excellence in Convergent Bio-Nano Science and Technology and.
Wenbo JiangDepartment of Microbiology and Immunology, University of Melbourne, The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia.
Verena C WimmerCentre for Dynamic Imaging and.
Brigette C DuckworthDivision of Immunology, Walter and Eliza Hall Institute of Medical Research, Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia.
Joanna R GroomDivision of Immunology, Walter and Eliza Hall Institute of Medical Research, Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia.
Frank CarusoARC Centre of Excellence in Convergent Bio-Nano Science and Technology and.
Masaru KanekiyoVaccine Research Center, National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, Maryland, USA.
Stephen J KentDepartment of Microbiology and Immunology, University of Melbourne, The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia.
Adam K WheatleyDepartment of Microbiology and Immunology, University of Melbourne, The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia.
The University of Melbourne · AUWalter and Eliza Hall Institute of Medical Research · AUDynamic Imaging (United Kingdom) · GBNational Institute of Allergy and Infectious Diseases · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-based, self-assembling nanoparticles elicit superior immunity compared with soluble protein vaccines, but the immune mechanisms underpinning this effect remain poorly defined. Here, we investigated the immunogenicity of a prototypic ferritin-based nanoparticle displaying influenza hemagglutinin (HA) in mice and macaques. Vaccination of mice with HA-ferritin nanoparticles elicited higher serum antibody titers and greater protection against experimental influenza challenge compared with soluble HA protein. Germinal centers in the draining lymph nodes were expanded and persistent following HA-ferritin vaccination, with greater deposition of antigen that colocalized with follicular dendritic cells. Our findings suggest that a highly ordered and repetitive antigen array may directly drive germinal centers through a B cell-intrinsic mechanism that does not rely on ferritin-specific T follicular helper cells. In contrast to mice, enhanced immunogenicity of HA-ferritin was not observed in pigtail macaques, where antibody titers and lymph node immunity were comparable to soluble vaccination. An improved understanding of factors that drive nanoparticle vaccine immunogenicity in small and large animal models will facilitate the clinical development of nanoparticle vaccines for broad and durable protection against diverse pathogens.

Indexed as

Hemagglutinin Glycoproteins, Influenza VirusInfluenza VaccinesNanoparticlesAnimalsB-LymphocytesFemaleGerminal CenterImmunologic MemoryMacaca nemestrinaMiceT-Lymphocytes, Helper-Inducerhemagglutinin, avian influenza A virusHemagglutinin Glycoproteins, Influenza VirusInfluenza VaccinesAdaptive immunityImmunologyInfluenzaNanotechnologyVaccines

Identifiers

PMID32434990
PMCPMC7259527
OpenAlexW3026836485

What OpenQuestion holds

Textmetadata
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.