Evidence map›Paper›PMID 39771962›Full record

ArticleVaccines2024

Safety, Immunogenicity and Protective Activity of a Modified Trivalent Live Attenuated Influenza Vaccine for Combined Protection Against Seasonal Influenza and COVID-19 in Golden Syrian Hamsters.

Ekaterina Stepanova, Victoria Matyushenko, Daria Mezhenskaya, Ekaterina Bazhenova, Tatiana Kotomina, Alexandra Rak, Svetlana Donina, Anna Chistiakova, Arina Kostromitina, Vlada Novitskaya and 7 more

Abstract read
In one paragraph

Article in Vaccines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
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

17 authors.

Ekaterina StepanovaInstitute of Experimental Medicine, Saint Petersburg 197022, Russia.ORCID 0000-0002-8670-8645
Victoria MatyushenkoInstitute of Experimental Medicine, Saint Petersburg 197022, Russia.
Daria MezhenskayaInstitute of Experimental Medicine, Saint Petersburg 197022, Russia.ORCID 0000-0001-6922-7682
Ekaterina BazhenovaInstitute of Experimental Medicine, Saint Petersburg 197022, Russia.ORCID 0000-0003-3280-556X
Tatiana KotominaInstitute of Experimental Medicine, Saint Petersburg 197022, Russia.ORCID 0000-0001-9999-089X
Alexandra RakInstitute of Experimental Medicine, Saint Petersburg 197022, Russia.ORCID 0000-0001-5552-9874
Svetlana DoninaInstitute of Experimental Medicine, Saint Petersburg 197022, Russia.
Anna ChistiakovaInstitute of Experimental Medicine, Saint Petersburg 197022, Russia.ORCID 0000-0001-9541-5636
Arina KostromitinaInstitute of Experimental Medicine, Saint Petersburg 197022, Russia.ORCID 0000-0001-5432-0171
Vlada NovitskayaInstitute of Experimental Medicine, Saint Petersburg 197022, Russia.
Polina ProkopenkoInstitute of Experimental Medicine, Saint Petersburg 197022, Russia.
Kristina RodionovaInstitute of Experimental Medicine, Saint Petersburg 197022, Russia.ORCID 0000-0001-6187-2097
Konstantin SivakSmorodintsev Research Institute of Influenza, Saint Petersburg 197376, Russia.ORCID 0000-0003-4064-5033
Kirill KryshenResearch-and-Manufacturing Company "Home of Pharmacy", Saint Petersburg 188663, Russia.
Valery MakarovResearch-and-Manufacturing Company "Home of Pharmacy", Saint Petersburg 188663, Russia.
Larisa RudenkoInstitute of Experimental Medicine, Saint Petersburg 197022, Russia.ORCID 0000-0002-0107-9959
Irina Isakova-SivakInstitute of Experimental Medicine, Saint Petersburg 197022, Russia.ORCID 0000-0002-2801-1508

Funding

Russian Science Foundation 21-75-30003
6 · The paper itself

Abstract

BACKGROUND/

objectivesInfluenza viruses and SARS-CoV-2 are currently cocirculating with similar seasonality, and both pathogens are characterized by a high mutational rate which results in reduced vaccine effectiveness and thus requires regular updating of vaccine compositions. Vaccine formulations combining seasonal influenza and SARS-CoV-2 strains can be considered promising and cost-effective tools for protection against both infections.

methodsWe used a licensed seasonal trivalent live attenuated influenza vaccine (3×LAIV) as a basis for the development of a modified 3×LAIV/CoV-2 vaccine, where H1N1 and H3N2 LAIV strains encoded an immunogenic cassette enriched with conserved T-cell epitopes of SARS-CoV-2, whereas a B/Victoria lineage LAIV strain was unmodified. The trivalent LAIV/CoV-2 composition was compared to the classical 3×LAIV in the golden Syrian hamster model. Animals were intranasally immunized with the mixtures of the vaccine viruses, twice, with a 3-week interval. Immunogenicity was assessed on day 42 of the study, and the protective effect was established by infecting vaccinated hamsters with either influenza H1N1, H3N2 or B viruses or with SARS-CoV-2 strains of the Wuhan, Delta and Omicron lineages.

resultsBoth the classical 3×LAIV and 3×LAIV/CoV-2 vaccine compositions induced similar levels of serum antibodies specific to all three influenza strains, which resulted in comparable levels of protection against challenge from either influenza strain. Protection against SARS-CoV-2 challenge was more pronounced in the 3×LAIV/CoV-2-immunized hamsters compared to the classical 3×LAIV group. These data were accompanied by the higher magnitude of virus-specific cellular responses detected by ELISPOT in the modified trivalent LAIV group.

conclusionsThe modified trivalent live attenuated influenza vaccine encoding the T-cell epitopes of SARS-CoV-2 can be considered a promising tool for combined protection against seasonal influenza and COVID-19.

Indexed as

bivalent vaccineinfluenza virusLAIVpreclinical researchSARS-CoV-2Syrian hamster

Identifiers

PMID39771962
PMCPMC11679497

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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.