Evidence map›Paper›PMID 36016100›Full record

ArticleVaccines2022

Poly(hydrophobic Amino Acids) and Liposomes for Delivery of Vaccine against Group A Streptococcus.

Armira Azuar, Harrison Y R Madge, Jennifer C Boer, Jazmina L Gonzalez Cruz, Jingwen Wang, Zeinab G Khalil, Cyril Deceneux, Georgia Goodchild, Jieru Yang, Prashamsa Koirala and 5 more

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2022. 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
0.8field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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

15 authors at 2 institutions in 1 country.

Armira AzuarSchool of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia, QLD 4072, Australia.ORCID 0000-0002-5140-4297
Harrison Y R MadgeSchool of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia, QLD 4072, Australia.ORCID 0000-0002-8116-5194
Jennifer C BoerSchool of Health and Biomedical Sciences, RMIT University, Bundoora West, VIC 3083, Australia.ORCID 0000-0002-7053-0627
Jazmina L Gonzalez CruzDiamantina Institute, Faculty of Medicine, The University of Queensland, Woolloongabba, QLD 4102, Australia.ORCID 0000-0003-2671-7408
Jingwen WangSchool of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia, QLD 4072, Australia.
Zeinab G KhalilInstitute of Molecular Bioscience, The University of Queensland, St. Lucia, QLD 4072, Australia.ORCID 0000-0002-9285-1720
Cyril DeceneuxSchool of Health and Biomedical Sciences, RMIT University, Bundoora West, VIC 3083, Australia.
Georgia GoodchildSchool of Health and Biomedical Sciences, RMIT University, Bundoora West, VIC 3083, Australia.
Jieru YangSchool of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia, QLD 4072, Australia.
Prashamsa KoiralaSchool of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia, QLD 4072, Australia.ORCID 0000-0003-4436-364X
Waleed M HusseinSchool of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia, QLD 4072, Australia.ORCID 0000-0001-5392-1880
Robert J CaponInstitute of Molecular Bioscience, The University of Queensland, St. Lucia, QLD 4072, Australia.ORCID 0000-0002-8341-7754
Magdalena PlebanskiSchool of Health and Biomedical Sciences, RMIT University, Bundoora West, VIC 3083, Australia.ORCID 0000-0001-6889-3667
Istvan TothSchool of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia, QLD 4072, Australia.
Mariusz SkwarczynskiSchool of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia, QLD 4072, Australia.ORCID 0000-0001-7257-807X
The University of Queensland · AURMIT University · AU

Funding

Australian Research Council DP21010280National Health and Medical Research Council APP1132975
6 · The paper itself

Abstract

Adjuvants and delivery systems are essential components of vaccines to increase immunogenicity against target antigens, particularly for peptide epitopes (poor immunogens). Emulsions, nanoparticles, and liposomes are commonly used as a delivery system for peptide-based vaccines. A Poly(hydrophobic amino acids) delivery system was previously conjugated to Group A Streptococcus (GAS)-derived peptide epitopes, allowing the conjugates to self-assemble into nanoparticles with self adjuvanting ability. Their hydrophobic amino acid tail also serves as an anchoring moiety for the peptide epitope, enabling it to be integrated into the liposome bilayer, to further boost the immunological responses. Polyleucine-based conjugates were anchored to cationic liposomes using the film hydration method and administered to mice subcutaneously. The polyleucine-peptide conjugate, its liposomal formulation, and simple liposomal encapsulation of GAS peptide epitope induced mucosal (saliva IgG) and systemic (serum IgG, IgG1 and IgG2c) immunity in mice. Polyleucine acted as a potent liposome anchoring portion, which stimulated the production of highly opsonic antibodies. The absence of polyleucine in the liposomal formulation (encapsulated GAS peptide) induced high levels of antibody titers, but with poor opsonic ability against GAS bacteria. However, the liposomal formulation of the conjugated vaccine was no more effective than conjugates alone self-assembled into nanoparticles.

Indexed as

adjuvantchain-like nanoparticlesGroup A Streptococcusliposomepeptide-based vaccinepoly(hydrophobic amino acid)

Identifiers

PMID36016100
PMCPMC9413763
OpenAlexW4289529906

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.