Evidence map›Paper›PMID 41571650›Full record

ArticleNPJ vaccines2026

Immunogenicity and protection of octavalent influenza vaccine candidates using adjuvanted proteins or mRNA-LNPs in naïve mice.

João Paulo Portela Catani, Anouk Smet, Tine Ysenbaert, Laura Amelinck, Koen Sedeyn, Xavier Saelens, Thorsten U Vogel

Abstract read
In one paragraph

Article in NPJ vaccines, 2026. 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

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

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

7 authors.

João Paulo Portela CataniVIB Center for Medical Biotechnology, VIB, Ghent, Belgium.ORCID http://orcid.org/0000-0002-4866-3933
Anouk SmetVIB Center for Medical Biotechnology, VIB, Ghent, Belgium.ORCID http://orcid.org/0000-0003-2197-6216
Tine YsenbaertVIB Center for Medical Biotechnology, VIB, Ghent, Belgium.
Laura AmelinckVIB Center for Medical Biotechnology, VIB, Ghent, Belgium.ORCID http://orcid.org/0009-0007-2914-8251
Koen SedeynVIB Center for Medical Biotechnology, VIB, Ghent, Belgium.ORCID http://orcid.org/0000-0002-1303-1629
Xavier SaelensVIB Center for Medical Biotechnology, VIB, Ghent, Belgium. Xavier.saelens@vib-ugent.be.ORCID http://orcid.org/0000-0002-3861-6965
Thorsten U VogelSanofi, Research North America, Cambridge, MA, USA. Thorsten.vogel@sanofi.com.ORCID http://orcid.org/0000-0002-0371-8048

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently used influenza vaccines primarily induce antibody responses against hemagglutinin (HA). Neuraminidase (NA) has been proposed as a complementary antigen to improve and potentially expand the breadth of influenza vaccine protection. Here, we assessed the immunogenicity and protective potential of adjuvanted recombinant protein- and mRNA-LNP-based octavalent influenza vaccine formulations in naïve mice. The vaccine candidates contained HA and NA derived from the viruses recommended for the 2018-2019 Northern Hemisphere quadrivalent influenza vaccine. Both adjuvanted recombinant protein and mRNA-LNP formats fully protected mice against challenge with homologous H1N1, influenza B, and HxN2 viruses. However, the octavalent mRNA-LNP vaccine elicited higher serum IgG titers against both HA and NA compared with the adjuvanted octavalent recombinant protein vaccine in this animal model. Furthermore, the octavalent mRNA-LNP vaccine also protected mice against challenge with the historical H3N2 virus strains X31, X47, and X79. This protection correlated with the presence of HA cross-reactive serum antibodies and was confirmed by passive transfer of immune serum into unvaccinated mice.

Identifiers

PMID41571650
PMCPMC12929725

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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.