The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Nanovehicular Intracellular Delivery Systems
Open accessAbstract
This article provides an overview of principles and barriers relevant to intracellular drug and gene transport, accumulation and retention (collectively called as drug delivery) by means of nanovehicles (NV). The aim is to deliver a cargo to a particular intracellular site, if possible, to exert a local action. Some of the principles discussed in this article apply to noncolloidal drugs that are not permeable to the plasma membrane or to the blood–brain barrier. NV are defined as a wide range of nanosized particles leading to colloidal objects which are capable of entering cells and tissues and delivering a cargo intracelullarly. Different localization and targeting means are discussed. Limited discussion on pharmacokinetics and pharmacodynamics is also presented. NVs are contrasted to micro-delivery and current nanotechnologies which are already in commercial use. Newer developments in NV technologies are outlined and future applications are stressed. We also briefly review the existing modeling tools and approaches to quantitatively describe the behavior of targeted NV within the vascular and tumor compartments, an area of particular importance. While we list “elementary” phenomena related to different level of complexity of delivery to cancer, we also stress importance of multi-scale modeling and bottom-up systems biology approach.
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Cites
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Cited by
Nanoparticles for Cancer Therapy: Current Progress and Challenges
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Intracellular Delivery by Membrane Disruption: Mechanisms, Strategies, and Concepts
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Convection-enhanced delivery of nanocarriers for the treatment of brain tumors
Allard, E., Passirani, C., & Benoit, J.-P. (2009) · Biomaterials · doi:10.1016/j.biomaterials.2009.01.003 · Cited by 294
Metadata
- Authors
- Prokop, A., & Davidson, J. M.
- Venue
- Journal of Pharmaceutical Sciences
- Publisher
- Elsevier BV
- Published
- 2008-09
- Volume
- 97
- Issue
- 9
- Pages
- 3518-3590
- ISSN
- 0022-3549 (ISSN-L)
- OpenAlex
- W2102819518
- Cited by
- 363
- References
- 21
- FWCI
- 4.39
- Type
- journal article
- Language
- en
- Open access
- green
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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.
