Evidence map›Paper›PMID 27115492›Full record

ArticlePloS one2016

Immunogenicity of Outer Membrane Proteins VirB9-1 and VirB9-2, a Novel Nanovaccine against Anaplasma marginale.

Liang Zhao, Donna Mahony, Antonino S Cavallaro, Bing Zhang, Jun Zhang, James R Deringer, Chun-Xia Zhao, Wendy C Brown, Chengzhong Yu, Neena Mitter and 1 more

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Molecular Identification and Bioinformatics Analysis ofPathogens (Basel, Switzerland) · 2024
    Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Frontiers in immunology · 2021
    Article
  8. Review
  9. Applications of Nanovaccines for Disease Prevention in Cattle.Frontiers in bioengineering and biotechnology · 2020
    Review
  10. Article
  11. Whole-Genome Sequencing of Mexican Strains ofInternational journal of genomics · 2020
    Article
  12. Article
  13. Article
  14. The Proteome of Biologically Active Membrane Vesicles fromFrontiers in cellular and infection microbiology · 2017
    Article
  15. 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

11 authors.

Liang ZhaoAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, QLD, 4072, Australia.
Donna MahonyQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, 4072, Australia.
Antonino S CavallaroQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, 4072, Australia.
Bing ZhangAnimal Science, Queensland Department of Agriculture, Fisheries and Forestry, St Lucia, QLD, 4072, Australia.
Jun ZhangAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, QLD, 4072, Australia.
James R DeringerDepartment of Veterinary Microbiology and Pathology, Washington State University, College of Veterinary Medicine, P.O. Box 647040, Pullman, WA, 99164-7040, United States of America.
Chun-Xia ZhaoAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, QLD, 4072, Australia.
Wendy C BrownDepartment of Veterinary Microbiology and Pathology, Washington State University, College of Veterinary Medicine, P.O. Box 647040, Pullman, WA, 99164-7040, United States of America.
Chengzhong YuAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, QLD, 4072, Australia.
Neena MitterQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, 4072, Australia.
Anton P J MiddelbergAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, QLD, 4072, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anaplasma marginale is the most prevalent tick-borne livestock pathogen and poses a significant threat to cattle industry. In contrast to currently available live blood-derived vaccines against A. marginale, alternative safer and better-defined subunit vaccines will be of great significance. Two proteins (VirB9-1 and VirB9-2) from the Type IV secretion system of A. marginale have been shown to induce humoral and cellular immunity. In this study, Escherichia coli were used to express VirB9-1 and VirB9-2 proteins. Silica vesicles having a thin wall of 6 nm and pore size of 5.8 nm were used as the carrier and adjuvant to deliver these two antigens both as individual or mixed nano-formulations. High loading capacity was achieved for both proteins, and the mouse immunisation trial with individual as well as mixed nano-formulations showed high levels of antibody titres over 107 and strong T-cell responses. The mixed nano-formulation also stimulated high-level recall responses in bovine T-cell proliferation assays. These results open a promising path towards the development of efficient A. marginale vaccines and provide better understanding on the role of silica vesicles to deliver multivalent vaccines as mixed nano-formulations able to activate both B-cell and T-cell immunity, for improved animal health.

Indexed as

Anaplasma marginaleAnaplasmosisAnimalsAntibodies, BacterialAntigens, BacterialBacterial Outer Membrane ProteinsBacterial VaccinesB-LymphocytesCattleCattle DiseasesCell ProliferationCloning, MolecularDrug CarriersEscherichia coliFemaleGene ExpressionAntibodies, BacterialAntigens, BacterialBacterial Outer Membrane ProteinsBacterial VaccinesDrug CarriersRecombinant ProteinsSilicon DioxideType IV Secretion Systems

Identifiers

PMID27115492
PMCPMC4846087

What OpenQuestion holds

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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.