Evidence map›Paper›PMID 32064333›Full record

ArticleScience advances2020

Poly(amino acids) as a potent self-adjuvanting delivery system for peptide-based nanovaccines.

Mariusz Skwarczynski, Guangzu Zhao, Jennifer C Boer, Victoria Ozberk, Armira Azuar, Jazmina Gonzalez Cruz, Ashwini Kumar Giddam, Zeinab G Khalil, Manisha Pandey, Mohini A Shibu and 8 more

Abstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Article
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  7. Article
  8. Article
  9. Article
  10. Review
  11. Cancer vaccines in the clinic.Bioengineering & translational medicine · 2024
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
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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

18 authors.

Mariusz SkwarczynskiThe University of Queensland, School of Chemistry & Molecular Biosciences, Lucia, QLD 4072, Australia.ORCID 0000-0001-7257-807X
Guangzu ZhaoThe University of Queensland, School of Chemistry & Molecular Biosciences, Lucia, QLD 4072, Australia.ORCID 0000-0002-0541-3125
Jennifer C BoerSchool of Health and Biomedical Sciences, RMIT University, Victoria 3083, Australia.ORCID 0000-0002-7053-0627
Victoria OzberkGriffith University, Institute for Glycomics, Gold Coast, QLD 4222, Australia.
Armira AzuarThe University of Queensland, School of Chemistry & Molecular Biosciences, Lucia, QLD 4072, Australia.ORCID 0000-0002-5140-4297
Jazmina Gonzalez CruzThe University of Queensland, Diamantina Institute, Translational Research Institute, Brisbane, QLD 4102, Australia.
Ashwini Kumar GiddamGriffith University, Institute for Glycomics, Gold Coast, QLD 4222, Australia.
Zeinab G KhalilThe University of Queensland, Diamantina Institute, Translational Research Institute, Brisbane, QLD 4102, Australia.ORCID 0000-0002-9285-1720
Manisha PandeyGriffith University, Institute for Glycomics, Gold Coast, QLD 4222, Australia.ORCID 0000-0002-4151-699X
Mohini A ShibuThe University of Queensland, School of Chemistry & Molecular Biosciences, Lucia, QLD 4072, Australia.
Waleed M HusseinThe University of Queensland, School of Chemistry & Molecular Biosciences, Lucia, QLD 4072, Australia.ORCID 0000-0001-5392-1880
Reshma J NevagiThe University of Queensland, School of Chemistry & Molecular Biosciences, Lucia, QLD 4072, Australia.
Michael R BatzloffGriffith University, Institute for Glycomics, Gold Coast, QLD 4222, Australia.
James W WellsThe University of Queensland, Diamantina Institute, Translational Research Institute, Brisbane, QLD 4102, Australia.ORCID 0000-0002-9618-6940
Robert J CaponThe University of Queensland, Institute for Molecular Bioscience, St Lucia, QLD 4072, Australia.ORCID 0000-0002-8341-7754
Magdalena PlebanskiSchool of Health and Biomedical Sciences, RMIT University, Victoria 3083, Australia.ORCID 0000-0001-6889-3667
Michael F GoodGriffith University, Institute for Glycomics, Gold Coast, QLD 4222, Australia.ORCID 0000-0001-8212-248X
Istvan TothThe University of Queensland, School of Chemistry & Molecular Biosciences, Lucia, QLD 4072, Australia.ORCID 0000-0002-4572-397X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To be optimally effective, peptide-based vaccines need to be administered with adjuvants. Many currently available adjuvants are toxic, not biodegradable; they invariably invoke adverse reactions, including allergic responses and excessive inflammation. A nontoxic, biodegradable, biocompatible, self-adjuvanting vaccine delivery system is urgently needed. Herein, we report a potent vaccine delivery system fulfilling the above requirements. A peptide antigen was coupled with poly-hydrophobic amino acid sequences serving as self-adjuvanting moieties using solid-phase synthesis, to produce fully defined single molecular entities. Under aqueous conditions, these molecules self-assembled into distinct nanoparticles and chain-like aggregates. Following subcutaneous immunization in mice, these particles successfully induced opsonic epitope-specific antibodies without the need of external adjuvant. Mice immunized with entities bearing 15 leucine residues were able to clear bacterial load from target organs without triggering the release of soluble inflammatory mediators. Thus, we have developed a well-defined and effective self-adjuvanting delivery system for peptide antigens.

Indexed as

Drug Delivery SystemsAdjuvants, ImmunologicAmino AcidsAnimalsBiocompatible MaterialsEpitopesHumansImmunity, MucosalInflammationMiceNanoparticlesVaccinesVaccines, SubunitAdjuvants, ImmunologicAmino AcidsBiocompatible MaterialsEpitopesVaccinesVaccines, Subunit

Identifiers

PMID32064333
PMCPMC6989150

What OpenQuestion holds

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LicenceCC BY-NC
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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.