The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Lipid-Based Nanoparticles in the Clinic and Clinical Trials: From Cancer Nanomedicine to COVID-19 Vaccines
Open accessAbstract
COVID-19 vaccines have been developed with unprecedented speed which would not have been possible without decades of fundamental research on delivery nanotechnology. Lipid-based nanoparticles have played a pivotal role in the successes of COVID-19 vaccines and many other nanomedicines, such as Doxil® and Onpattro®, and have therefore been considered as the frontrunner in nanoscale drug delivery systems. In this review, we aim to highlight the progress in the development of these lipid nanoparticles for various applications, ranging from cancer nanomedicines to COVID-19 vaccines. The lipid-based nanoparticles discussed in this review are liposomes, niosomes, transfersomes, solid lipid nanoparticles, and nanostructured lipid carriers. We particularly focus on the innovations that have obtained regulatory approval or that are in clinical trials. We also discuss the physicochemical properties required for specific applications, highlight the differences in requirements for the delivery of different cargos, and introduce current challenges that need further development. This review serves as a useful guideline for designing new lipid nanoparticles for both preventative and therapeutic vaccines including immunotherapies.
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
Delivery of siRNA to the mouse brain by systemic injection of targeted exosomes
Alvarez-Erviti, L., Seow, Y., Yin, H., Betts, C., Lakhal, S., & Wood, M. J. A. (2011) · Nature Biotechnology · doi:10.1038/nbt.1807 · Cited by 4,930
Doxil® — The first FDA-approved nano-drug: Lessons learned
Barenholz, Y. (. (2012) · Journal of Controlled Release · doi:10.1016/j.jconrel.2012.03.020 · Cited by 4,792
mRNA vaccines — a new era in vaccinology
Pardi, N., Hogan, M. J., Porter, F. W., & Weissman, D. (2018) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2017.243 · Cited by 4,667 · cited 1×
“In spite of that, RNA is still considered the best platform technology for developing vaccines against various diseases, both non-infectious diseases and infectious [117].”
BackgroundNanoparticle-Based Medicines: A Review of FDA-Approved Materials and Clinical Trials to Date
Bobo, D., Robinson, K. J., Islam, J., Thurecht, K. J., & Corrie, S. R. (2016) · Pharmaceutical Research · doi:10.1007/s11095-016-1958-5 · Cited by 2,586
COVID-19 vaccine BNT162b1 elicits human antibody and TH1 T cell responses
Sahin, U., Muik, A., Derhovanessian, E., Vogler, I., Kranz, L. M., Vormehr, M., Baum, A., Pascal, K., Quandt, J., Maurus, D., et al. (2020) · Nature · doi:10.1038/s41586-020-2814-7 · Cited by 1,977
Rational design of cationic lipids for siRNA delivery
Semple, S. C., Akinc, A., Chen, J., Sandhu, A. P., Mui, B. L., Cho, C. K., Sah, D. W. Y., Stebbing, D., Crosley, E. J., Yaworski, E., et al. (2010) · Nature Biotechnology · doi:10.1038/nbt.1602 · Cited by 1,822 · cited 4×
“The ketal linker was demonstrated to be the best candidates when compared to ester- and alkoxy-linkers [18].”
BackgroundInfluentialSystemic RNA delivery to dendritic cells exploits antiviral defence for cancer immunotherapy
Kranz, L. M., Diken, M., Haas, H., Kreiter, S., Loquai, C., Reuter, K. C., Meng, M., Fritz, D., Vascotto, F., Hefesha, H., et al. (2016) · Nature · doi:10.1038/nature18300 · Cited by 1,819
Therapeutic siRNA: state of the art
Hu, B., Zhong, L., Weng, Y., Peng, L., Huang, Y., Zhao, Y., & Liang, X.-J. (2020) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-0207-x · Cited by 1,586
Maximizing the potency of siRNA lipid nanoparticles for hepatic gene silencing in vivo
Jayaraman, M., Ansell, S. M., Mui, B. L., Tam, Y. K., Chen, J., Du, X., Butler, D., Eltepu, L., Matsuda, S., Narayanannair, J. K., et al. (2012) · Angewandte Chemie International Edition · doi:10.1002/anie.201203263 · Cited by 1,267
Optimization of lipid nanoparticles for intramuscular administration of mRNA vaccines
Hassett, K. J., Benenato, K. E., Jacquinet, E., Lee, A., Woods, A., Yuzhakov, O., Himansu, S., Deterling, J., Geilich, B. M., Ketova, T., et al. (2019) · Molecular Therapy — Nucleic Acids · doi:10.1016/j.omtn.2019.01.013 · Cited by 927
Cited by
Emerging Applications of Nanotechnology in Healthcare and Medicine
Malik, S., Muhammad, K., & Waheed, Y. (2023) · Molecules · doi:10.3390/molecules28186624 · Cited by 610
Nanoparticles in Drug Delivery: From History to Therapeutic Applications
Afzal, O., Altamimi, A. S. A., Nadeem, M. S., Alzarea, S. I., Almalki, W. H., Tariq, A., Mubeen, B., Murtaza, B. N., Iftikhar, S., Riaz, N., et al. (2022) · Nanomaterials · doi:10.3390/nano12244494 · Cited by 468
Smart Nanomaterials in Cancer Theranostics: Challenges and Opportunities
Kashyap, B. K., Singh, V. V., Solanki, M. K., Kumar, A., Ruokolainen, J., & Kesari, K. K. (2023) · ACS Omega · doi:10.1021/acsomega.2c07840 · Cited by 348
Solid Lipid Nanoparticles (SLNs): An Advanced Drug Delivery System Targeting Brain through BBB
Satapathy, M. K., Yen, T.-L., Jan, J.-S., Tang, R.-D., Wang, J.-Y., Taliyan, R., & Yang, C.-H. (2021) · Pharmaceutics · doi:10.3390/pharmaceutics13081183 · Cited by 318
Khan, S., Sharma, A., & Jain, V. (2023) · Advanced Pharmaceutical Bulletin · doi:10.34172/apb.2023.056 · Cited by 259
Metadata
- Authors
- Thi, T. T. H., Suys, E. J. A., Lee, J. S., Nguyen, D. H., Park, K. D., & Truong, N. P.
- Venue
- Vaccines
- Publisher
- MDPI AG
- Published
- 2021-04-08
- Volume
- 9
- Issue
- 4
- Pages
- 359
- ISSN
- 2076-393X (ISSN-L)
- OpenAlex
- W3150554748
- Cited by
- 525
- References
- 19
- FWCI
- 18.75
- Type
- journal article
- Language
- en
- Open access
- gold
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: Lipid-Based Nanoparticles in the Clinic and Clinical Trials: From Cancer Nanomedicine to COVID-19 Vaccines. https://app.cochat.ai/papers/10.3390/vaccines9040359
- The paper
- Thi, T. T. H., Suys, E. J. A., Lee, J. S., Nguyen, D. H., Park, K. D., & Truong, N. P. (2021). Lipid-Based Nanoparticles in the Clinic and Clinical Trials: From Cancer Nanomedicine to COVID-19 Vaccines. Vaccines. https://doi.org/10.3390/vaccines9040359
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.
