The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Nano-microparticles as immune adjuvants: correlating particle sizes and the resultant immune responses
Open accessAbstract
The development of novel immune adjuvants is emerging as a significant area of vaccine delivery based on the continued necessity to amplify immune responses to a wide array of new antigens that are poorly immunogenic. This article specifically focuses on the application of nanoparticles and microparticles as vaccine adjuvants. Many investigators are in agreement that the size of the particles is crucial to their adjuvant activities. However, reports on correlating the size of particle-based adjuvants and the resultant immune responses have been conflicting, with investigators on both sides of the fence with impressive data in support of the effectiveness of particles with small sizes (submicron) over those with larger sizes (micron) and vice versa, while other investigators reported data that showed submicron- and micron-sized particles are effective to the same degree as immune adjuvants. We have generated a list of biological, immunological and, more importantly, vaccine formulation parameters that may have contributed to the inconsistency from different studies and made recommendations on future studies attempting to correlate the size of particulate adjuvants and the immune responses induced. The information gathered could lead to strategies to optimize the performance of nano-microparticles as immune adjuvants.
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
Freitas, S., Merkle, H. P., & Gander, B. (2005) · Journal of Controlled Release · doi:10.1016/j.jconrel.2004.10.015 · Cited by 923
Stealth PLA-PEG nanoparticles as protein carriers for nasal administration
Tobío, M., Gref, R., Sánchez, A., Langer, R., & Alonso, M. J. (1998) · Pharmaceutical Research · doi:10.1023/a:1011922819926 · Cited by 402
Cruz, L. J., Tacken, P. J., Fokkink, R., Joosten, B., Stuart, M. C., Albericio, F., Torensma, R., & Figdor, C. G. (2010) · Journal of Controlled Release · doi:10.1016/j.jconrel.2010.02.013 · Cited by 281
Microparticles as vaccine adjuvants and delivery systems
O’Hagan, D. T., & Singh, M. (2003) · Expert Review of Vaccines · doi:10.1586/14760584.2.2.269 · Cited by 214
Konan, Y. (2003) · European Journal of Pharmaceutics and Biopharmaceutics · doi:10.1016/s0939-6411(02)00128-5 · Cited by 152
Thomas, C., Gupta, V., & Ahsan, F. (2009) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2009.06.006 · Cited by 79
Cited by
Smart micro/nanoparticles in stimulus-responsive drug/gene delivery systems
Karimi, M., Ghasemi, A., Sahandi Zangabad, P., Rahighi, R., Moosavi Basri, S. M., Mirshekari, H., Amiri, M., Shafaei Pishabad, Z., Aslani, A., Bozorgomid, M., et al. (2016) · Chemical Society Reviews · doi:10.1039/c5cs00798d · Cited by 1,519
Self-assembling protein nanoparticles in the design of vaccines
López-Sagaseta, J., Malito, E., Rappuoli, R., & Bottomley, M. J. (2016) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2015.11.001 · Cited by 353
Mannosylation of LNP Results in Improved Potency for Self-Amplifying RNA (SAM) Vaccines
Goswami, R., Chatzikleanthous, D., Lou, G., Giusti, F., Bonci, A., Taccone, M., Brazzoli, M., Gallorini, S., Ferlenghi, I., Berti, F., et al. (2019) · ACS Infectious Diseases · doi:10.1021/acsinfecdis.9b00084 · Cited by 113
Nanoparticle impact on innate immune cell pattern-recognition receptors and inflammasomes activation
Silva, A. L., Peres, C., Conniot, J., Matos, A. I., Moura, L., Carreira, B., Sainz, V., Scomparin, A., Satchi-Fainaro, R., Préat, V., et al. (2017) · Seminars in Immunology · doi:10.1016/j.smim.2017.09.003 · Cited by 95
Luo, L., Qin, T., Huang, Y., Zheng, S., Bo, R., Liu, Z., Xing, J., Hu, Y., Liu, J., & Wang, D. (2017) · Drug Delivery · doi:10.1080/10717544.2017.1359861 · Cited by 47
Metadata
- Authors
- Oyewumi, M. O., Kumar, A., & Cui, Z.
- Venue
- Expert Review of Vaccines
- Publisher
- Informa UK Limited
- Published
- 2010-09
- Volume
- 9
- Issue
- 9
- Pages
- 1095-1107
- ISSN
- 1476-0584 (ISSN-L)
- 1744-8395
- OpenAlex
- W2106183630
- Cited by
- 547
- References
- 6
- FWCI
- 8.66
- Type
- journal article
- Language
- en
- Open access
- green
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: Nano-microparticles as immune adjuvants: correlating particle sizes and the resultant immune responses. https://app.cochat.ai/papers/10.1586/erv.10.89
- The paper
- Oyewumi, M. O., Kumar, A., & Cui, Z. (2010). Nano-microparticles as immune adjuvants: correlating particle sizes and the resultant immune responses. Expert Review of Vaccines. https://doi.org/10.1586/erv.10.89
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.