Evidence map›Paper›PMID 24280723›Full record

ArticleHuman vaccines & immunotherapeutics2014

TLR7 and 9 agonists are highly effective mucosal adjuvants for norovirus virus-like particle vaccines.

Brooke E Hjelm, Jacquelyn Kilbourne, Melissa M Herbst-Kralovetz

Open access · bronzeAbstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Current Progress and Challenges in the Study of Adjuvants for Oral Vaccines.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2023
    Review
  5. Review
  6. Article
  7. Article
  8. TLR-9 Plays a Role inFrontiers in immunology · 2021
    Article
  9. Review
  10. Article
  11. Article
  12. Noninvasive vaccination against infectious diseases.Human vaccines & immunotherapeutics · 2018
    Review
  13. Article
  14. Article
  15. Meeting report VLPNPV: Session 3: Immune responses.Human vaccines & immunotherapeutics · 2014
    Article
  16. Meeting report VLPNPV: Session 5: Plant based technology.Human vaccines & immunotherapeutics · 2014
    Article
  17. 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

3 authors at 2 institutions in 1 country.

Brooke E HjelmCenter for Infectious Diseases and Vaccinology; The Biodesign Institute; Arizona State University; Tempe, AZ USA; Neurogenomics Division; The Translational Genomics Research Institute (TGen); Phoenix, AZ USA.
Jacquelyn KilbourneCenter for Infectious Diseases and Vaccinology; The Biodesign Institute; Arizona State University; Tempe, AZ USA.
Melissa M Herbst-KralovetzDepartment of Basic Medical Sciences; University of Arizona College of Medicine-Phoenix; Phoenix, AZ USA.
National Center for Infectious Diseases · USPhoenix (United States) · US

Funding

Production CoreU19AI062150 · NIAID · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI ARNTZEN, CHARLES JOEL · 2004 to 2008
$7.2M
NIAID NIH HHS 1 U19 AI062150-01NIAID NIH HHS U19 AI062150
6 · The paper itself

Abstract

Virus-like particles (VLPs) are an active area of vaccine research, development and commercialization. Mucosal administration of VLPs provides an attractive avenue for delivery of vaccines with the potential to produce robust immune responses. Nasal and oral delivery routes are particularly intriguing due to differential activation of mucosa-associated lymphoid tissues. We compared both intranasal and oral administration of VLPs with a panel of toll-like receptor (TLR) agonists (TLR3, 5, 7, 7/8, and 9) to determine the mucosal adjuvant activity of these immunomodulators. We selected Norwalk virus (NV) VLPs because it is an effective model antigen and an active area of research and commercialization. To prioritize these adjuvants, VLP-specific antibody production in serum (IgG, IgG1, IgG2a), vaginal lavages (IgG, IgA), and fecal pellets (IgA) were measured across a longitudinal timeseries in vaccinated mice. Additional distal mucosal sites (nasal, brochoalveolar, salivary, and gastrointestinal) were evaluated for VLP-specific responses (IgA). Intranasal co-delivery of VLPs with TLR7 or TLR9 agonists produced the most robust and broad-spectrum immune responses, systemically and at distal mucosal sites inducing VLP-specific antibodies at all sites evaluated. In addition, these VLP-specific antibodies blocked binding of NV VLPs to histo-blood group antigen (H type 1), supporting their functionality. Oral administration and/or other TLR agonists tested in the panel did not consistently enhance VLP-specific immune responses. This study demonstrates that intranasal co-delivery of VLPs with TLR7 or TLR9 agonists provides dose-sparing advantages for induction of specific and functional antibody responses against VLPs (i.e., non-replicating antigens) in the respiratory, gastrointestinal, and reproductive tract.

Indexed as

Immunity, MucosalAdjuvants, ImmunologicAdministration, IntranasalAdministration, MucosalAdministration, OralAnimalsAntibodies, ViralCaliciviridae InfectionsFecesFemaleImmunoglobulin AImmunoglobulin GMembrane GlycoproteinsMice, Inbred BALB CNorwalk virusToll-Like Receptor 7Adjuvants, ImmunologicAntibodies, ViralImmunoglobulin AImmunoglobulin GMembrane GlycoproteinsTlr7 protein, mouseTlr9 protein, mouseToll-Like Receptor 7Toll-Like Receptor 9Vaccines, Virus-Like Particleantibody productionmucosal adjuvantsmucosal immunologynasal vaccinationnorovirusoral vaccinationTLR agonistsvirus-like particles

Identifiers

PMID24280723
PMCPMC4185889
OpenAlexW1999620133

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.