The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Bioinspired Exosome-Mimetic Nanovesicles for Targeted Delivery of Chemotherapeutics to Malignant Tumors
Abstract
Exosomes, the endogenous nanocarriers that can deliver biological information between cells, were recently introduced as new kind of drug delivery system. However, mammalian cells release relatively low quantities of exosomes, and purification of exosomes is difficult. Here, we developed bioinspired exosome-mimetic nanovesicles that deliver chemotherapeutics to the tumor tissue after systemic administration. The chemotherapeutics-loaded nanovesicles were produced by the breakdown of monocytes or macrophages using a serial extrusion through filters with diminishing pore sizes (10, 5, and 1 μm). These cell-derived nanovesicles have similar characteristics with the exosomes but have 100-fold higher production yield. Furthermore, the nanovesicles have natural targeting ability of cells by maintaining the topology of plasma membrane proteins. In vitro, chemotherapeutic drug-loaded nanovesicles induced TNF-α-stimulated endothelial cell death in a dose-dependent manner. In vivo, experiments in mice showed that the chemotherapeutic drug-loaded nanovesicles traffic to tumor tissue and reduce tumor growth without the adverse effects observed with equipotent free drug. Furthermore, compared with doxorubicin-loaded exosomes, doxorubicin-loaded nanovesicles showed similar in vivo antitumor activity. However, doxorubicin-loaded liposomes that did not carry targeting proteins were inefficient in reducing tumor growth. Importantly, removal of the plasma membrane proteins by trypsinization eliminated the therapeutic effects of the nanovesicles both in vitro and in vivo. Taken together, these studies suggest that the bioengineered nanovesicles can serve as novel exosome-mimetics to effectively deliver chemotherapeutics to treat malignant tumors.
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Cites
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
Valadi, H., Ekström, K., Bossios, A., Sjöstrand, M., Lee, J. J., & Lötvall, J. O. (2007) · Nature Cell Biology · doi:10.1038/ncb1596 · Cited by 12,834
Self-citationAngiogenesis in cancer and other diseases
Carmeliet, P., & Jain, R. K. (2000) · Nature · doi:10.1038/35025220 · Cited by 9,070
Nanocarriers as an emerging platform for cancer therapy
Peer, D., Karp, J. M., Hong, S., Farokhzad, O. C., Margalit, R., & Langer, R. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.387 · Cited by 8,710
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
Getting to the site of inflammation: the leukocyte adhesion cascade updated
Ley, K., Laudanna, C., Cybulsky, M. I., & Nourshargh, S. (2007) · Nature Reviews Immunology · doi:10.1038/nri2156 · Cited by 4,354
Nanoparticle therapeutics: an emerging treatment modality for cancer
Davis, M. E., Chen, Z., & Shin, D. M. (2008) · Nature Reviews Drug Discovery · doi:10.1038/nrd2614 · Cited by 4,233
Angiogenesis as a therapeutic target
Ferrara, N., & Kerbel, R. S. (2005) · Nature · doi:10.1038/nature04483 · Cited by 2,653
Systemically Injected Exosomes Targeted to EGFR Deliver Antitumor MicroRNA to Breast Cancer Cells
Ohno, S.-I., Takanashi, M., Sudo, K., Ueda, S., Ishikawa, A., Matsuyama, N., Fujita, K., Mizutani, T., Ohgi, T., Ochiya, T., et al. (2013) · Molecular Therapy · doi:10.1038/mt.2012.180 · Cited by 1,666
Ratajczak, J., Wysoczynski, M., Hayek, F., Janowska-Wieczorek, A., & Ratajczak, M. Z. (2006) · Leukemia · doi:10.1038/sj.leu.2404296 · Cited by 1,340
Cited by
Théry, C., Witwer, K. W., Aikawa, E., Alcaraz, M. J., Anderson, J. D., Andriantsitohaina, R., Antoniou, A., Arab, T., Archer, F., Atkin‐Smith, G. K., et al. (2018) · Journal of Extracellular Vesicles · doi:10.1080/20013078.2018.1535750 · Cited by 11,099
Self-citationExosomes: biogenesis, biologic function and clinical potential
Zhang, Y., Liu, Y., Liu, H., & Tang, W. H. (2019) · Cell & Bioscience · doi:10.1186/s13578-019-0282-2 · Cited by 2,119
Exosomes as drug delivery vehicles for Parkinson’s disease therapy
Haney, M. J., Klyachko, N. L., Zhao, Y., Gupta, R., Plotnikova, E. G., He, Z., Patel, T., Piroyan, A., Sokolsky, M., Kabanov, A. V., et al. (2015) · Journal of Controlled Release · doi:10.1016/j.jconrel.2015.03.033 · Cited by 2,009
RNA delivery by extracellular vesicles in mammalian cells and its applications
O’Brien, K., Breyne, K., Ughetto, S., Laurent, L. C., & Breakefield, X. O. (2020) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-0251-y · Cited by 1,811
Applying extracellular vesicles based therapeutics in clinical trials – an ISEV position paper
Lener, T., Gimona, M., Aigner, L., Börger, V., Buzas, E., Camussi, G., Chaput, N., Chatterjee, D., Court, F. A., del Portillo, H. A., et al. (2015) · Journal of Extracellular Vesicles · doi:10.3402/jev.v4.30087 · Cited by 1,491
Self-citation
Metadata
- Authors
- Jang, S. C., Kim, O. Y., Yoon, C. M., Choi, D.-S., Roh, T.-Y., Park, J., Nilsson, J., Lötvall, J., Kim, Y.-K., & Gho, Y. S.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-09-04
- Volume
- 7
- Issue
- 9
- Pages
- 7698-7710
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2051720243
- Cited by
- 1,022
- References
- 10
- FWCI
- 12.37
- Type
- journal article
- Language
- en
- Open access
- closed
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