The DOI matches its Crossref record; 192 of the 192 references it cites were found in a registry or an index.
Exosome mimetics: a novel class of drug delivery systems
Open accessAbstract
The identification of extracellular phospholipid vesicles as conveyors of cellular information has created excitement in the field of drug delivery. Biological therapeutics, including short interfering RNA and recombinant proteins, are prone to degradation, have limited ability to cross biological membranes, and may elicit immune responses. Therefore, delivery systems for such drugs are under intensive investigation. Exploiting extracellular vesicles as carriers for biological therapeutics is a promising strategy to overcome these issues and to achieve efficient delivery to the cytosol of target cells. Exosomes are a well studied class of extracellular vesicles known to carry proteins and nucleic acids, making them especially suitable for such strategies. However, the considerable complexity and the related high chance of off-target effects of these carriers are major barriers for translation to the clinic. Given that it is well possible that not all components of exosomes are required for their proper functioning, an alternative strategy would be to mimic these vesicles synthetically. By assembly of liposomes harboring only crucial components of natural exosomes, functional exosome mimetics may be created. The low complexity and use of well characterized components strongly increase the pharmaceutical acceptability of such systems. However, exosomal components that would be required for the assembly of functional exosome mimetics remain to be identified. This review provides insights into the composition and functional properties of exosomes, and focuses on components which could be used to enhance the drug delivery properties of exosome mimetics.
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1 retracted
Lu, Y., Roy, S., Nuovo, G. J., Ramaswamy, B., Miller, T. E., Shapiro, C. L., Jacob, S. T., & Majumder, S. (2011) · Journal of Biological Chemistry · doi:10.1074/jbc.m111.270926 · Cited by 102
RetractedValadi, 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
Circulating microRNAs as stable blood-based markers for cancer detection
Mitchell, P. S., Parkin, R. K., Kroh, E. M., Fritz, B. R., Wyman, S. K., Pogosova-Agadjanyan, E. L., Peterson, A., Noteboom, J., O'Briant, K. C., Allen, A., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0804549105 · Cited by 7,969
Skog, J., Würdinger, T., van Rijn, S., Meijer, D. H., Gainche, L., Curry, W. T., Carter, B. S., Krichevsky, A. M., & Breakefield, X. O. (2008) · Nature Cell Biology · doi:10.1038/ncb1800 · Cited by 5,001
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
Stöckl, S., Göttl, C., Grifka, J., & Grässel, S. (2013) · Cellular Physiology and Biochemistry · doi:10.1159/000350089 · Cited by 4,656
Membrane vesicles as conveyors of immune responses
Théry, C., Ostrowski, M., & Segura, E. (2009) · Nature Reviews Immunology · doi:10.1038/nri2567 · Cited by 3,882
Arroyo, J. D., Chevillet, J. R., Kroh, E. M., Ruf, I. K., Pritchard, C. C., Gibson, D. F., Mitchell, P. S., Bennett, C. F., Pogosova-Agadjanyan, E. L., Stirewalt, D. L., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1019055108 · Cited by 3,294
Exosomes – vesicular carriers for intercellular communication
Simons, M., & Raposo, G. (2009) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2009.03.007 · Cited by 2,351
Identification and proteomic profiling of exosomes in human urine
Pisitkun, T., Shen, R.-F., & Knepper, M. A. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0403453101 · Cited by 2,174
Cited by
Biological properties of extracellular vesicles and their physiological functions
Yáñez‐Mó, M., Siljander, P. R. ‐., Andreu, Z., Bedina Zavec, A., Borràs, F. E., Buzas, E. I., Buzas, K., Casal, E., Cappello, F., Carvalho, J., et al. (2015) · Journal of Extracellular Vesicles · doi:10.3402/jev.v4.27066 · Cited by 5,926
Ha, D., Yang, N., & Nadithe, V. (2016) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2016.02.001 · Cited by 1,346
Exosomes in tumor microenvironment influence cancer progression and metastasis
Kahlert, C., & Kalluri, R. (2013) · Journal of Molecular Medicine · doi:10.1007/s00109-013-1020-6 · Cited by 872
Mateescu, B., Kowal, E. J. K., van Balkom, B. W. M., Bartel, S., Bhattacharyya, S. N., Buzás, E. I., Buck, A. H., de Candia, P., Chow, F. W. N., Das, S., et al. (2017) · Journal of Extracellular Vesicles · doi:10.1080/20013078.2017.1286095 · Cited by 720
Self-citationJohnsen, K. B., Gudbergsson, J. M., Skov, M. N., Pilgaard, L., Moos, T., & Duroux, M. (2014) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2014.04.005 · Cited by 704
Metadata
- Authors
- Schiffelers, R., Kooijmans, S., Vader, van Dommelen, & Solinge, V.
- Venue
- International Journal of Nanomedicine
- Publisher
- Informa UK Limited
- Published
- 2012-03
- Volume
- 7
- Pages
- 1525
- ISSN
- 1176-9114 (ISSN-L)
- 1178-2013
- OpenAlex
- W2130105071
- Cited by
- 512
- References
- 192
- FWCI
- 9.06
- Type
- journal article
- Language
- en
- Open access
- gold
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- Schiffelers, R., Kooijmans, S., Vader, van Dommelen, & Solinge, V. (2012). Exosome mimetics: a novel class of drug delivery systems. International Journal of Nanomedicine. https://doi.org/10.2147/ijn.s29661
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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.