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Design and Development of Graphene Oxide Nanoparticle/Chitosan Hybrids Showing pH-Sensitive Surface Charge-Reversible Ability for Efficient Intracellular Doxorubicin Delivery
Abstract
A novel graphene oxide nanoparticle (GON)-based drug delivery system containing GONs as carriers of anticancer drugs and chitosan/dimethylmaleic anhydride-modified chitosan (CS/CS-DMMA) as surface charge-reversible shells is fabricated via the classic self-assembly of the deprotonated carboxyl of GONs and the protonated amine of the CS backbone by electrostatic interaction, and CS-DMMA serves as the outmost layer. In this GON-based drug delivery system, the GON cores as desired carriers might adsorb doxorubicin hydrochloride (DOX) via the π-π stacking interaction between the large π conjugated structures of GO and the aromatic structure of DOX. Meanwhile, the chitosan-based polyelectrolyte shells served as a smart protection screen to evade the premature release of the as-loaded DOX in normal extracellular condition, and then, the release of DOX was accelerated because of the detachment of chitosan coating at low pH. Furthermore, the re-exposure of amino groups after hydrolysis of CS-DMMA endowed the drug delivery system with positive surface charge by taking advantage of the pH difference between physiological conditions and the tumor microenvironment to enhance the cellular uptake. Then, the pH-dependent site-specific drug release was realized. The in vitro investigations confirmed that these promising GON/CS/CS-DMMA hybrids with the charge-reversible character possessed various merits including excellent encapsulation efficiency, high stability under physiological conditions, enhanced cellular uptake by HepG2 cells, and tunable intracellular chemotherapeutic agent release profiles, proving its capability as an intelligent anticancer agent nanocarrier with enhanced therapeutic effects. This smart GON/CS/CS-DMMA vehicle with the surface charge-reversible character may be used as a significant drug delivery system for cancer treatment.
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Cites
Normalization of Tumor Vasculature: An Emerging Concept in Antiangiogenic Therapy
Jain, R. K. (2005) · Science · doi:10.1126/science.1104819 · Cited by 5,527
Accumulation of sub-100 nm polymeric micelles in poorly permeable tumours depends on size
Cabral, H., Matsumoto, Y., Mizuno, K., Chen, Q., Murakami, M., Kimura, M., Terada, Y., Kano, M. R., Miyazono, K., Uesaka, M., et al. (2011) · Nature Nanotechnology · doi:10.1038/nnano.2011.166 · Cited by 2,429
Cited by
Carbon-based nanomaterials as an emerging platform for theranostics
Patel, K. D., Singh, R. K., & Kim, H.-W. (2019) · Materials Horizons · doi:10.1039/c8mh00966j · Cited by 555
Chitosan-Based Nanomaterials for Drug Delivery
Li, J., Cai, C., Li, J., Li, J., Li, J., Sun, T., Wang, L., Wu, H., & Yu, G. (2018) · Molecules · doi:10.3390/molecules23102661 · Cited by 481
Nanomaterials for Nanotheranostics: Tuning Their Properties According to Disease Needs
Wong, X. Y., Sena-Torralba, A., Álvarez-Diduk, R., Muthoosamy, K., & Merkoçi, A. (2020) · ACS Nano · doi:10.1021/acsnano.9b08133 · Cited by 363
Dou, T., Wang, J., Han, C., Shao, X., Zhang, J., & Lu, W. (2019) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2019.07.168 · Cited by 86
Lee, C.-S., Kim, T., Oh, D., Bae, S., Ryu, J., Kong, H., Jeon, H., Seo, H., Jeon, S., & Kim, T. (2020) · Cancers · doi:10.3390/cancers12030634 · Cited by 46
Metadata
- Authors
- Zhao, X., Wei, Z., Zhao, Z., Miao, Y., Qiu, Y., Yang, W., Jia, X., Liu, Z., & Hou, H.
- Venue
- ACS Applied Materials & Interfaces
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-02-07
- Volume
- 10
- Issue
- 7
- Pages
- 6608-6617
- ISSN
- 1944-8244 (ISSN-L)
- 1944-8252
- OpenAlex
- W2784486430
- Cited by
- 168
- References
- 2
- FWCI
- 9.91
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zhao, X., Wei, Z., Zhao, Z., Miao, Y., Qiu, Y., Yang, W., Jia, X., Liu, Z., & Hou, H. (2018). Design and Development of Graphene Oxide Nanoparticle/Chitosan Hybrids Showing pH-Sensitive Surface Charge-Reversible Ability for Efficient Intracellular Doxorubicin Delivery. ACS Applied Materials & Interfaces. https://doi.org/10.1021/acsami.7b16910
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