ArticleClinical and vaccine immunology : CVI2015
Vaccine self-assembling immune matrix is a new delivery platform that enhances immune responses to recombinant HBsAg in mice.
Article in Clinical and vaccine immunology : CVI, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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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.
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Who cites it
14 citing papers in PubMed, 33 citations in OpenAlex.
- Use of the Slow-Delivery Platform, VacSIM, Shapes the Host Immune Response to Increase Protection Against Influenza Infection.Viruses · 2025Article
- Vaccine delivery systems and administration routes: Advanced biotechnological techniques to improve the immunization efficacy.Vaccine: X · 2024Review
- Nanovaccine Delivery Approaches and Advanced Delivery Systems for the Prevention of Viral Infections: From Development to Clinical Application.Pharmaceutics · 2021Review
- Peptide-based supramolecular vaccine systems.Acta biomaterialia · 2021Review
- Article
- Protective Effect Against Toxoplasmosis inFrontiers in immunology · 2021Article
- Monoclonal Antibodies Generated against Glycoconjugates Recognize Chemical Linkers.Antibodies (Basel, Switzerland) · 2020Article
- Schistosomiasis-from immunopathology to vaccines.Seminars in immunopathology · 2020Review
- Article
- Extended delivery of vaccines to the skin improves immune responses.Journal of controlled release : official journal of the Controlled Release Society · 2019Article
- Active immunotherapy for TNF-mediated inflammation using self-assembled peptide nanofibers.Biomaterials · 2017Article
- Enzymatic self-assembly of an immunoreceptor tyrosine-based inhibitory motif (ITIM).Organic & biomolecular chemistry · 2017Article
- Engineering self-assembled materials to study and direct immune function.Advanced drug delivery reviews · 2017Review
- Smart Nanotransformers with Unique Enzyme-Inducible Structural Changes and Drug Release Properties.Biomacromolecules · 2016Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Vaccination remains the most effective public health tool to prevent infectious diseases. Many vaccines are marginally effective and need enhancement for immunocompromised, elderly, and very young populations. To enhance immunogenicity, we exploited the biphasic property of the (RADA)4 synthetic oligopeptide to create VacSIM (vaccine self-assembling immune matrix), a new delivery method. VacSIM solution can easily be mixed with antigens, organisms, and adjuvants for injection. Postinjection, the peptides self-assemble into hydrated nanofiber gel matrices, forming a depot with antigens and adjuvants in the aqueous phase. We believe the depot provides slow release of immunogens, leading to increased activation of antigen-presenting cells that then drive enhanced immunogenicity. Using recombinant hepatitis B virus surface antigen (rHBsAg) as a model immunogen, we compared VacSIM delivery to delivery in alum or complete Freund's adjuvant (CFA). Delivery of the rHBsAg antigen to mice via VacSIM without adjuvant elicited higher specific IgG responses than when rHBsAg was delivered in alum or CFA. Evaluating IgG subtypes showed a mixed Th1/Th2 type response following immunization with VacSIM, which was driven further toward Th1 with addition of CpG as the adjuvant. Increased specific IgG endpoint titers were observed in both C57BL/6 and BALB/c mice, representative of Th1 and Th2 environments, respectively. Restimulation of splenocytes suggests that VacSIM does not cause an immediate proinflammatory response in the host. Overall, these results suggest that VacSIM, as a new delivery method, has the potential to enhance immunogenicity and efficacy of numerous vaccines.
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Registered trials
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.