The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Adjuvant system AS01: helping to overcome the challenges of modern vaccines
Open accessAbstract
Introduction: Adjuvants are used to improve vaccine immunogenicity and efficacy by enhancing antigen presentation to antigen-specific immune cells with the aim to confer long-term protection against targeted pathogens. Adjuvants have been used in vaccines for more than 90 years. Combinations of immunostimulatory molecules, such as in the Adjuvant System AS01, have opened the way to the development of new or improved vaccines.Areas covered: AS01 is a liposome-based vaccine adjuvant system containing two immunostimulants: 3-O-desacyl-4ʹ-monophosphoryl lipid A (MPL) and the saponin QS-21. Here we describe studies investigating the mode of action of AS01, and consider the role of AS01 in enhancing specific immune responses to the antigen for selected candidate vaccines targeting malaria and herpes zoster. The effects of AS01 are rapid and transient, being localized to the injected muscle and draining lymph node. AS01 is efficient at promoting CD4+ T cell-mediated immune responses and is an appropriate candidate adjuvant for inclusion in vaccines targeting viruses or intracellular pathogens.Expert commentary: AS01 activity to enhance adaptive responses depends on synergistic activities of QS-21 and MPL. AS01 adjuvantation shows good prospects for use in new vaccines targeted to populations with challenging immune statuses and against diseases caused by complex pathogens.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
First Results of Phase 3 Trial of RTS,S/AS01 Malaria Vaccine in African Children
The RTS, S. C. T. P. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1102287 · Cited by 896
Towards an understanding of the adjuvant action of aluminium
Marrack, P., McKee, A. S., & Munks, M. W. (2009) · Nature Reviews Immunology · doi:10.1038/nri2510 · Cited by 887
A Phase 3 Trial of RTS,S/AS01 Malaria Vaccine in African Infants
The RTS, S. C. T. P. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1208394 · Cited by 752
Didierlaurent, A. M., Collignon, C., Bourguignon, P., Wouters, S., Fierens, K., Fochesato, M., Dendouga, N., Langlet, C., Malissen, B., Lambrecht, B. N., et al. (2014) · The Journal of Immunology · doi:10.4049/jimmunol.1400948 · Cited by 266
Self-citationLeroux-Roels, I., Leroux-Roels, G., Clement, F., Vandepapelière, P., Vassilev, V., Ledent, E., & Heineman, T. C. (2012) · The Journal of Infectious Diseases · doi:10.1093/infdis/jis497 · Cited by 147
Cited by
Vaccine adjuvants: mechanisms and platforms
Zhao, T., Cai, Y., Jiang, Y., He, X., Wei, Y., Yu, Y., & Tian, X. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01557-7 · Cited by 1,020
Toward Nanotechnology-Enabled Approaches against the COVID-19 Pandemic
Weiss, C., Carriere, M., Fusco, L., Capua, I., Regla-Nava, J. A., Pasquali, M., Scott, J. A., Vitale, F., Unal, M. A., Mattevi, C., et al. (2020) · ACS Nano · doi:10.1021/acsnano.0c03697 · Cited by 601
Immunosenescence and human vaccine immune responses
Crooke, S. N., Ovsyannikova, I. G., Poland, G. A., & Kennedy, R. B. (2019) · Immunity & Ageing · doi:10.1186/s12979-019-0164-9 · Cited by 530
Vaccine adjuvants: Understanding the structure and mechanism of adjuvanticity
Shi, S., Zhu, H., Xia, X., Liang, Z., Ma, X., & Sun, B. (2019) · Vaccine · doi:10.1016/j.vaccine.2019.04.055 · Cited by 423
Immunological and Toxicological Considerations for the Design of Liposomes
Inglut, C. T., Sorrin, A. J., Kuruppu, T., Vig, S., Cicalo, J., Ahmad, H., & Huang, H.-C. (2020) · Nanomaterials · doi:10.3390/nano10020190 · Cited by 371
Metadata
- Authors
- Didierlaurent, A. M., Laupèze, B., Di Pasquale, A., Hergli, N., Collignon, C., & Garçon, N.
- Venue
- Expert Review of Vaccines
- Publisher
- Informa UK Limited
- Published
- 2016-08-02
- Volume
- 16
- Issue
- 1
- Pages
- 55-63
- ISSN
- 1476-0584 (ISSN-L)
- 1744-8395
- OpenAlex
- W2482786872
- Cited by
- 516
- References
- 5
- FWCI
- 16.82
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Adjuvant system AS01: helping to overcome the challenges of modern vaccines. https://app.cochat.ai/papers/10.1080/14760584.2016.1213632
- The paper
- Didierlaurent, A. M., Laupèze, B., Di Pasquale, A., Hergli, N., Collignon, C., & Garçon, N. (2017). Adjuvant system AS01: helping to overcome the challenges of modern vaccines. Expert Review of Vaccines. https://doi.org/10.1080/14760584.2016.1213632
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.