Evidence map›Paper›PMID 25426709›Full record

ArticlePloS one2014

Mechanistic insight into the TH1-biased immune response to recombinant subunit vaccines delivered by probiotic bacteria-derived outer membrane vesicles.

Joseph A Rosenthal, Chung-Jr Huang, Anne M Doody, Tiffany Leung, Kaho Mineta, Danielle D Feng, Elizabeth C Wayne, Nozomi Nishimura, Cynthia Leifer, Matthew P DeLisa and 2 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

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  15. Review
  16. Biological Nanoparticles in Vaccine Development.Frontiers in bioengineering and biotechnology · 2022
    Review
  17. Review
  18. Review
  19. Article
  20. 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

12 authors.

Joseph A RosenthalDepartment of Biomedical Engineering, Cornell University, Ithaca, NY, 14853, United States.
Chung-Jr HuangSchool of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, 14853, United States.
Anne M DoodyDepartment of Biomedical Engineering, Cornell University, Ithaca, NY, 14853, United States.
Tiffany LeungDepartment of Biomedical Engineering, Cornell University, Ithaca, NY, 14853, United States.
Kaho MinetaDepartment of Animal Science, Cornell University, Ithaca, NY, 14853, United States.
Danielle D FengDepartment of Biomedical Engineering, Cornell University, Ithaca, NY, 14853, United States.
Elizabeth C WayneDepartment of Biomedical Engineering, Cornell University, Ithaca, NY, 14853, United States.
Nozomi NishimuraDepartment of Biomedical Engineering, Cornell University, Ithaca, NY, 14853, United States.
Cynthia LeiferCollege of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, United States.
Matthew P DeLisaSchool of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, 14853, United States.
Susana MendezCollege of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, United States.
David PutnamDepartment of Biomedical Engineering, Cornell University, Ithaca, NY, 14853, United States; School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, 14853, United States.

Funding

Toll-like receptor 9: trafficking and signalingR01AI076588 · NIAID · CORNELL UNIVERSITY · PI LEIFER, CYNTHIA A · 2009 to 2013
$1.8M
Engineered Outer Membrane Vesicles as DNA Vaccine Delivery VehiclesR21EB005669 · NIBIB · CORNELL UNIVERSITY · PI PUTNAM, DAVID A · 2006 to 2007
$398k
NIAID NIH HHS R01 AI076588NIBIB NIH HHS EB005669-02NIBIB NIH HHS R21 EB005669
6 · The paper itself

Abstract

Recombinant subunit vaccine engineering increasingly focuses on the development of more effective delivery platforms. However, current recombinant vaccines fail to sufficiently stimulate protective adaptive immunity against a wide range of pathogens while remaining a cost effective solution to global health challenges. Taking an unorthodox approach to this fundamental immunological challenge, we isolated the TLR-targeting capability of the probiotic E. coli Nissle 1917 bacteria (EcN) by engineering bionanoparticlate antigen carriers derived from EcN outer membrane vesicles (OMVs). Exogenous model antigens expressed by these modified bacteria as protein fusions with the bacterial enterotoxin ClyA resulted in their display on the surface of the carrier OMVs. Vaccination with the engineered EcN OMVs in a BALB/c mouse model, and subsequent mechanism of action analysis, established the EcN OMV's ability to induce self-adjuvanted robust and protective humoral and T(H)1-biased cellular immunity to model antigens. This finding appears to be strain-dependent, as OMV antigen carriers similarly engineered from a standard K12 E. coli strain derivative failed to generate a comparably robust antigen-specific TH1 bias. The results demonstrate that unlike traditional subunit vaccines, these biomolecularly engineered "pathogen-like particles" derived from traditionally overlooked, naturally potent immunomodulators have the potential to effectively couple recombinant antigens with meaningful immunity in a broadly applicable fashion.

Indexed as

AnimalsAntibodies, BacterialAntigens, BacterialBacterial Outer Membrane ProteinsBacterial VaccinesCell MembraneEscherichia coliEscherichia coli ProteinsFemaleGene ExpressionHemolysin ProteinsImmunity, CellularImmunity, HumoralImmunizationMiceMice, Inbred BALB CAntibodies, BacterialAntigens, BacterialBacterial Outer Membrane ProteinsBacterial VaccinesEscherichia coli ProteinsHemolysin ProteinshlyE protein, E coliRecombinant Fusion ProteinsVaccines, SubunitVaccines, Synthetic

Identifiers

PMID25426709
PMCPMC4245113

What OpenQuestion holds

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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.