Evidence map›Paper›PMID 39809901›Full record

ArticleNPJ vaccines2025

A synthetic cyclic peptide for promoting antigen presentation and immune activation.

Jiahui Zhang, Harrison Y R Madge, Asmaa Mahmoud, Lantian Lu, Wanyi Wang, Wenbin Huang, Prashamsa Koirala, Jazmina L Gonzalez Cruz, Wei Yang Kong, Sahra Bashiri and 6 more

Abstract read
In one paragraph

Article in NPJ vaccines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. 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

16 authors.

Jiahui ZhangSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.
Harrison Y R MadgeSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.ORCID http://orcid.org/0000-0002-8116-5194
Asmaa MahmoudSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.
Lantian LuSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.
Wanyi WangSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.
Wenbin HuangSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.ORCID http://orcid.org/0000-0001-6159-3688
Prashamsa KoiralaSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.
Jazmina L Gonzalez CruzFaculty of Medicine, Frazer Institute, The University of Queensland, Brisbane, Australia.
Wei Yang KongFaculty of Medicine, Frazer Institute, The University of Queensland, Brisbane, Australia.
Sahra BashiriSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.
Ahmed O ShalashSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.
Waleed M HusseinInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.ORCID http://orcid.org/0000-0001-5392-1880
Zeinab G KhalilInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.
James W WellsFaculty of Medicine, Frazer Institute, The University of Queensland, Brisbane, Australia.ORCID http://orcid.org/0000-0002-9618-6940
Istvan TothSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.
Rachel J StephensonSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia. r.stephenson@uq.edu.au.ORCID http://orcid.org/0000-0001-6424-7502

Funding

Department of Education and Training | Australian Research Council (ARC) FT230100468Department of Health | National Health and Medical Research Council (NHMRC) APP1132975Department of Health | National Health and Medical Research Council (NHMRC) APP1158748
6 · The paper itself

Abstract

Cyclic peptides are often used as scaffolds for the multivalent presentation of drug molecules due to their structural stability and constrained conformation. We identified a cyclic deca-peptide incorporating lipoamino acids for delivering T helper and B cell epitopes against group A Streptococcus (GAS), eliciting robust humoral immune responses. In this study, we assessed the function-immunogenicity relationship of the multi-component vaccine candidate (referred to as VC-13) to elucidate a mechanism of action. We identified a potential universal delivery platform, not only capable of adjuvanting different peptide epitopes (e.g., NS1 and 88/30 from group A Streptococcus, gonadotropin hormone releasing hormone [GnRH]), but also protein antigens (e.g., bovine serum albumin [BSA], receptor binding domain (RBD) of the SARS-CoV-2 protein responsible for COVID-19 infection [SARS-CoV-2 RBD]) and small molecular haptens (e.g., cocaine). All vaccine candidates self-assembled into sub-500 nm nanoparticles and induced high antigen-specific systemic IgG titers and opsonic potential compared to the antigen co-administered with a commercial adjuvant, complete Freund's adjuvant. Notably, presence of the cyclic decapeptide in this vaccine increased accumulation in the draining inguinal lymph nodes, facilitating cellular uptake of peptide antigens. Furthermore, the lipoamino acid promoted dendritic cell activation, acting as both toll-like receptors 2 and 4 -targeting moiety. Our study revealed the importance of the cyclic decapeptide and lipoamino acid presence in antigen presentation and immune response activation, leading onto the development of a fully synthetic, self-assembled, and promising platform for the delivery of subunit vaccines and anti-drug vaccines.

Identifiers

PMID39809901
PMCPMC11733015

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Registered trials

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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.