Evidence map›Paper›PMID 29033942›Full record

ArticleFrontiers in immunology2017

Mucosal Administration of Cycle-Di-Nucleotide-Adjuvanted Virosomes Efficiently Induces Protection against Influenza H5N1 in Mice.

Thomas Ebensen, Jennifer Debarry, Gabriel K Pedersen, Paulina Blazejewska, Sebastian Weissmann, Kai Schulze, Kenneth C McCullough, Rebecca J Cox, Carlos A Guzmán

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Mucosal immunity and vaccine development.Signal transduction and targeted therapy · 2026
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. New Generation Self-Replicating RNA Vaccines Derived from Pestivirus Genome.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  10. Article
  11. Nucleotides as Bacterial Second Messengers.Molecules (Basel, Switzerland) · 2023
    Review
  12. Article
  13. Vaccine adjuvants: mechanisms and platforms.Signal transduction and targeted therapy · 2023
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. STING agonist-containing microparticles improve seasonal influenza vaccine efficacy and durability in ferrets over standard adjuvant.Journal of controlled release : official journal of the Controlled Release Society · 2022
    Article
  19. Review
  20. Mucosal vaccines - fortifying the frontiers.Nature reviews. Immunology · 2022
    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

9 authors at 2 institutions in 2 countries.

Thomas EbensenDepartment of Vaccinology and Applied Microbiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Jennifer DebarryDepartment of Vaccinology and Applied Microbiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Gabriel K PedersenThe Influenza Centre, University of Bergen, Bergen, Norway.
Paulina BlazejewskaDepartment of Vaccinology and Applied Microbiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Sebastian WeissmannDepartment of Vaccinology and Applied Microbiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Kai SchulzeDepartment of Vaccinology and Applied Microbiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Kenneth C McCulloughInstitute of Virology and Immunology, Mittelhäusern, Switzerland.
Rebecca J CoxThe Influenza Centre, University of Bergen, Bergen, Norway.
Carlos A GuzmánDepartment of Vaccinology and Applied Microbiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Helmholtz Centre for Infection Research · DEHaukeland University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The need for more effective influenza vaccines is highlighted by the emergence of novel influenza strains, which can lead to new pandemics. There is a growing population of susceptible subjects at risk for severe complications of influenza, such as the elderly who are only in part protected by current licensed seasonal vaccines. One strategy for improving seasonal and pandemic vaccines takes advantage of adjuvants to boost and modulate evoked immune responses. In this study, we examined the capacity of the recently described adjuvant cyclic di-adenosine monophosphate (c-di-AMP) to serve as an adjuvant for improved mucosal influenza vaccines, and induce effective protection against influenza H5N1. In detail, c-di-AMP promoted (i) effective local and systemic humoral immune responses, including protective hemagglutination inhibition titers, (ii) effective cellular responses, including multifunctional T cell activity, (iii) induction of long-lasting immunity, and (iv) protection against viral challenge. Furthermore, we demonstrated the dose-sparing capacity of the adjuvant as well as the ability to evoke cross-clade protective immune responses. Overall, our results suggest that c-di-AMP contributes to the generation of a protective cell-mediated immune response required for efficacious vaccination against influenza, which supports the further development of c-di-AMP as an adjuvant for seasonal and pandemic influenza mucosal vaccines.

Indexed as

c-di-GMPcyclic di-adenosine monophosphatedose-sparing capacitymucosal adjuvantsublingual administration

Identifiers

PMID29033942
PMCPMC5624999
OpenAlexW2756625428

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.