The DOI matches its Crossref record; 198 of the 198 references it cites were found in a registry or an index.
An Overview of Vaccine Adjuvants: Current Evidence and Future Perspectives
Open accessAbstract
Vaccinations are one of the most important preventive tools against infectious diseases. Over time, many different types of vaccines have been developed concerning the antigen component. Adjuvants are essential elements that increase the efficacy of vaccination practises through many different actions, especially acting as carriers, depots, and stimulators of immune responses. For many years, few adjuvants have been included in vaccines, with aluminium salts being the most commonly used adjuvant. However, recent research has focused its attention on many different new compounds with effective adjuvant properties and improved safety. Modern technologies such as nanotechnologies and molecular biology have forcefully entered the production processes of both antigen and adjuvant components, thereby improving vaccine efficacy. Microparticles, emulsions, and immune stimulators are currently in the spotlight for their huge potential in vaccine production. Although studies have reported some potential side effects of vaccine adjuvants such as the recently recognised ASIA syndrome, the huge worth of vaccines remains unquestionable. Indeed, the recent COVID-19 pandemic has highlighted the importance of vaccines, especially in regard to managing future potential pandemics. In this field, research into adjuvants could play a leading role in the production of increasingly effective vaccines.
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1 retracted
Behrouz, B., Mahdavi, M., Amirmozafari, N., Fatemi, M. J., Irajian, G., Bahroudi, M., & Hashemi, F. B. (2016) · Burns · doi:10.1016/j.burns.2016.03.015 · Cited by 24
RetractedPathogen Recognition and Innate Immunity
Akira, S., Uematsu, S., & Takeuchi, O. (2006) · Cell · doi:10.1016/j.cell.2006.02.015 · Cited by 11,952
The role of pattern-recognition receptors in innate immunity: update on Toll-like receptors
Kawai, T., & Akira, S. (2010) · Nature Immunology · doi:10.1038/ni.1863 · Cited by 9,304
Differential roles of MDA5 and RIG-I helicases in the recognition of RNA viruses
Kato, H., Takeuchi, O., Sato, S., Yoneyama, M., Yamamoto, M., Matsui, K., Uematsu, S., Jung, A., Kawai, T., Ishii, K. J., et al. (2006) · Nature · doi:10.1038/nature04734 · Cited by 3,888
The innate immune response to bacterial flagellin is mediated by Toll-like receptor 5
Hayashi, F., Smith, K. D., Ozinsky, A., Hawn, T. R., Yi, E. C., Goodlett, D. R., Eng, J. K., Akira, S., Underhill, D. M., & Aderem, A. (2001) · Nature · doi:10.1038/35074106 · Cited by 3,601
Vaccine delivery: a matter of size, geometry, kinetics and molecular patterns
Bachmann, M. F., & Jennings, G. T. (2010) · Nature Reviews Immunology · doi:10.1038/nri2868 · Cited by 2,106
The NLRC4 inflammasome receptors for bacterial flagellin and type III secretion apparatus
Zhao, Y., Yang, J., Shi, J., Gong, Y.-N., Lu, Q., Xu, H., Liu, L., & Shao, F. (2011) · Nature · doi:10.1038/nature10510 · Cited by 1,270
Franchi, L., Amer, A., Body-Malapel, M., Kanneganti, T.-D., Özören, N., Jagirdar, R., Inohara, N., Vandenabeele, P., Bertin, J., Coyle, A., et al. (2006) · Nature Immunology · doi:10.1038/ni1346 · Cited by 1,131
‘ASIA’ – Autoimmune/inflammatory syndrome induced by adjuvants
Shoenfeld, Y., & Agmon-Levin, N. (2011) · Journal of Autoimmunity · doi:10.1016/j.jaut.2010.07.003 · Cited by 1,010
Kolumam, G. A., Thomas, S., Thompson, L. J., Sprent, J., & Murali-Krishna, K. (2005) · The Journal of Experimental Medicine · doi:10.1084/jem.20050821 · Cited by 965
Metadata
- Authors
- Facciolà, A., Visalli, G., Laganà, A., & Di Pietro, A.
- Venue
- Vaccines
- Publisher
- MDPI AG
- Published
- 2022-05-22
- Volume
- 10
- Issue
- 5
- Pages
- 819
- ISSN
- 2076-393X (ISSN-L)
- OpenAlex
- W4281251857
- Cited by
- 316
- References
- 198
- FWCI
- 19.34
- Type
- journal article
- Language
- en
- Open access
- gold
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.