The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Nanoparticle Vaccines Adopting Virus-like Features for Enhanced Immune Potentiation
Open accessAbstract
Synthetic nanoparticles play an increasingly significant role in vaccine design and development as many nanoparticle vaccines show improved safety and efficacy over conventional formulations. These nanoformulations are structurally similar to viruses, which are nanoscale pathogenic organisms that have served as a key selective pressure driving the evolution of our immune system. As a result, mechanisms behind the benefits of nanoparticle vaccines can often find analogue to the interaction dynamics between the immune system and viruses. This review covers the advances in vaccine nanotechnology with a perspective on the advantages of virus mimicry towards immune potentiation. It provides an overview to the different types of nanomaterials utilized for nanoparticle vaccine development, including functionalization strategies that bestow nanoparticles with virus-like features. As understanding of human immunity and vaccine mechanisms continue to evolve, recognizing the fundamental semblance between synthetic nanoparticles and viruses may offer an explanation for the superiority of nanoparticle vaccines over conventional vaccines and may spur new design rationales for future vaccine research. These nanoformulations are poised to provide solutions towards pressing and emerging human diseases.
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1 retracted
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Chung, Y. H., Beiss, V., Fiering, S. N., & Steinmetz, N. F. (2020) · ACS Nano · doi:10.1021/acsnano.0c07197 · Cited by 346
Nanoparticle-Based Vaccines Against Respiratory Viruses
Al-Halifa, S., Gauthier, L., Arpin, D., Bourgault, S., & Archambault, D. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.00022 · Cited by 299
Nanotechnology-Based Strategies to Overcome Current Barriers in Gene Delivery
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Metadata
- Authors
- Chattopadhyay, S., Chen, J.-Y., Chen, H.-W., & Hu, C.-M. J.
- Venue
- Nanotheranostics
- Publisher
- Ivyspring International Publisher
- Published
- 2017
- Volume
- 1
- Issue
- 3
- Pages
- 244-260
- ISSN
- 2206-7418 (ISSN-L)
- OpenAlex
- W2711033291
- Cited by
- 166
- References
- 12
- FWCI
- 4.81
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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