The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Enzyme-triggered nanomedicine: Drug release strategies in cancer therapy (Invited Review)
Open accessAbstract
Nanomedicine as a field has emerged from the early success of nanoparticle-based drug delivery systems, in particular for treatment of cancer, and the advances made in nano- and biotechnology over the past decade. A prerequisite for nanoparticle-based drug delivery systems to be effective is that the drug payload is released at the target site. A large number of drug release strategies have been proposed that can be classified into certain areas. The simplest and most successful strategy so far, probably due to relative simplicity, is based on utilizing certain physico-chemical characteristics of drugs to obtain a slow drug leakage from the formulations after accumulation in the cancerous site. However, this strategy is only applicable to a relatively small range of drugs and cannot be applied to biologicals. Many advanced drug release strategies have therefore been investigated. Such strategies include utilization of heat, light and ultrasound sensitive systems and in particular pH sensitive systems where the lower pH in endosomes induces drug release. Highly interesting are enzyme sensitive systems where over-expressed disease-associated enzymes are utilized to trigger drug release. The enzyme-based strategies are particularly interesting as they require no prior knowledge of the tumour localization. The basis of this review is an evaluation of the current status of drug delivery strategies focused on triggered drug release by disease-associated enzymes. We limit ourselves to reviewing the liposome field, but the concepts and conclusions are equally important for polymer-based systems.
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Cites
Visse, R., & Nagase, H. (2003) · Circulation Research · doi:10.1161/01.res.0000070112.80711.3d · Cited by 4,575
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 1×
“When this is said, there are many reports of highly efficient advanced drug delivery systems (Drummond et al. 2000,Needham&Dewhirst 2001, Andresen et al. 2005a, Cheong et al. 2006, Hatakeyama et al. 2007b, Semple et al. 2010) and a few have gone through clinical trials.”
BackgroundThe promise of retinoids to fight against cancer
Altucci, L., & Gronemeyer, H. (2001) · Nature Reviews Cancer · doi:10.1038/35106036 · Cited by 773
Liposome application: problems and prospects.
Barenholz, Y. (2001) · Current Opinion in Colloid & Interface Science · doi:10.1016/s1359-0294(00)00090-x · Cited by 659
Cited by
Block copolymer micelles in nanomedicine applications
Cabral, H., Miyata, K., Osada, K., & Kataoka, K. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00199 · Cited by 1,309
Smart nanocarrier-based drug delivery systems for cancer therapy and toxicity studies: A review
Hossen, S., Hossain, M. K., Basher, M. K., Mia, M. N. H., Rahman, M. T., & Uddin, M. J. (2019) · Journal of Advanced Research · doi:10.1016/j.jare.2018.06.005 · Cited by 998
Ge, Z., & Liu, S. (2013) · Chemical Society Reviews · doi:10.1039/c3cs60048c · Cited by 914
Enzyme-responsive nanoparticles for drug release and diagnostics
de la Rica, R., Aili, D., & Stevens, M. M. (2012) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2012.01.002 · Cited by 765
Enzyme-responsive nanomaterials for controlled drug delivery
Hu, Q., Katti, P. S., & Gu, Z. (2014) · Nanoscale · doi:10.1039/c4nr04249b · Cited by 668
Metadata
- Authors
- Andresen, T. L., Thompson, D. H., & Kaasgaard, T.
- Venue
- Molecular Membrane Biology
- Publisher
- Informa UK Limited
- Published
- 2010-10
- Volume
- 27
- Issue
- 7
- Pages
- 353-363
- ISSN
- 0968-7688 (ISSN-L)
- 1464-5203
- OpenAlex
- W2107529389
- Cited by
- 200
- References
- 4
- FWCI
- 5.74
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Andresen, T. L., Thompson, D. H., & Kaasgaard, T. (2010). Enzyme-triggered nanomedicine: Drug release strategies in cancer therapy (Invited Review). Molecular Membrane Biology. https://doi.org/10.3109/09687688.2010.515950
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