The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Liposomes: Clinical Applications and Potential for Image-Guided Drug Delivery
Open accessAbstract
Liposomes have been extensively studied and are used in the treatment of several diseases. Liposomes improve the therapeutic efficacy by enhancing drug absorption while avoiding or minimizing rapid degradation and side effects, prolonging the biological half-life and reducing toxicity. The unique feature of liposomes is that they are biocompatible and biodegradable lipids, and are inert and non-immunogenic. Liposomes can compartmentalize and solubilize both hydrophilic and hydrophobic materials. All these properties of liposomes and their flexibility for surface modification to add targeting moieties make liposomes more attractive candidates for use as drug delivery vehicles. There are many novel liposomal formulations that are in various stages of development, to enhance therapeutic effectiveness of new and established drugs that are in preclinical and clinical trials. Recent developments in multimodality imaging to better diagnose disease and monitor treatments embarked on using liposomes as diagnostic tool. Conjugating liposomes with different labeling probes enables precise localization of these liposomal formulations using various modalities such as PET, SPECT, and MRI. In this review, we will briefly review the clinical applications of liposomal formulation and their potential imaging properties.
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Cites
Recent advances with liposomes as pharmaceutical carriers
Torchilin, V. P. (2005) · Nature Reviews Drug Discovery · doi:10.1038/nrd1632 · Cited by 5,282
Liposomal drug delivery systems: From concept to clinical applications
Allen, T. M., & Cullis, P. R. (2013) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2012.09.037 · Cited by 4,839
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
New-Concept Chemotherapy by Nanoparticles of Biodegradable Polymers: Where Are We Now?
Feng, S.-S. (2006) · Nanomedicine · doi:10.2217/17435889.1.3.297 · Cited by 1,951
Delivery materials for siRNA therapeutics
Kanasty, R., Dorkin, J. R., Vegas, A., & Anderson, D. (2013) · Nature Materials · doi:10.1038/nmat3765 · Cited by 1,800
Retinoids in the treatment of skin aging: an overview of clinical efficacy and safety
Mukherjee, S., Date, A., Patravale, V., Korting, H. C., Roeder, A., & Weindl, G. (2006) · Clinical Interventions in Aging · doi:10.2147/ciia.2006.1.4.327 · Cited by 580
Barriers to drug delivery in solid tumors
Sriraman, S. K., Aryasomayajula, B., & Torchilin, V. P. (2014) · Tissue Barriers · doi:10.4161/tisb.29528 · Cited by 338
Cited by
Tenchov, R., Bird, R., Curtze, A. E., & Zhou, Q. (2021) · ACS Nano · doi:10.1021/acsnano.1c04996 · Cited by 2,221
Liposomes: Structure, composition, types, and clinical applications
Nsairat, H., Khater, D., Sayed, U., Odeh, F., Al Bawab, A., & Alshaer, W. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e09394 · Cited by 1,561
Nanomedicine review: clinical developments in liposomal applications
Beltrán-Gracia, E., López-Camacho, A., Higuera-Ciapara, I., Velázquez-Fernández, J. B., & Vallejo-Cardona, A. A. (2019) · Cancer Nanotechnology · doi:10.1186/s12645-019-0055-y · Cited by 513
Nanocarrier-based systems for targeted and site specific therapeutic delivery
Majumder, J., Taratula, O., & Minko, T. (2019) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2019.07.010 · Cited by 394
Nanoparticles and its biomedical applications in health and diseases: special focus on drug delivery
Zahin, N., Anwar, R., Tewari, D., Kabir, M. T., Sajid, A., Mathew, B., Uddin, M. S., Aleya, L., & Abdel-Daim, M. M. (2020) · Environmental Science and Pollution Research · doi:10.1007/s11356-019-05211-0 · Cited by 371
Metadata
- Authors
- Lamichhane, N., Udayakumar, T., D’Souza, W., Simone II, C., Raghavan, S., Polf, J., & Mahmood, J.
- Venue
- Molecules
- Publisher
- MDPI AG
- Published
- 2018-01-30
- Volume
- 23
- Issue
- 2
- Pages
- 288
- ISSN
- 1420-3049 (ISSN-L)
- OpenAlex
- W2791490604
- Cited by
- 303
- References
- 7
- FWCI
- 9.14
- Type
- journal article
- Language
- en
- Open access
- gold
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- Lamichhane, N., Udayakumar, T., D’Souza, W., Simone II, C., Raghavan, S., Polf, J., & Mahmood, J. (2018). Liposomes: Clinical Applications and Potential for Image-Guided Drug Delivery. Molecules. https://doi.org/10.3390/molecules23020288
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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.