pH-responsive zwitterionic polypeptide as a platform for anti-tumor drug delivery.
Saved in:
| Title: | pH-responsive zwitterionic polypeptide as a platform for anti-tumor drug delivery. |
|---|---|
| Authors: | Liu, Na1, Han, Jiaming1, Zhang, Xinchen1, Yang, Yue1, Liu, Yuan2, Wang, Yanming2, Wu, Guolin1 guolinwu@nankai.edu.cn |
| Source: | Colloids & Surfaces B: Biointerfaces. Sep2016, Vol. 145, p401-409. 9p. |
| Subjects: | Polyzwitterions, pH effect, Polypeptides, Antineoplastic agents, Drug delivery systems, Peptide derivatives |
| Abstract: | In this paper, a doxorubicin delivery system is reported based on a pH-responsive zwitterionic polypeptide derivative. To improve the anti-protein-fouling capacity, the poly(amino acid) was modified by grafting short-chain zwitterions via aminolysis reaction of polysuccinimide with l -lysine. As a result, both positively and negatively charged moieties were introduced onto the same side chain in a simultaneous fashion, providing a nano-scale homogenous mixture of balanced charges. The zwitterionic side chains serve as hydrophilic segments in the copolymer and feature excellent resistance to nonspecific protein adsorption. Doxorubicin was chemically grafted onto the poly(amino acid) moiety through acid-labile hydrazone linkages, providing removable hydrophobic segments and driving the polymer self-assembly. Free doxorubicin could be encapsulated into the self-assembled micelles via hydrophobic interactions and molecular π-π stacking. The results obtained show that the drug loaded nanoparticles exhibit excellent stabilities in protein solutions at pH = 7.4 and significantly enhanced drug release characteristics under acidic conditions. The cytotoxicity characteristics of the zwitterionic copolymer and drug-loaded nanoparticles at different pH values were investigated in vitro and feature an excellent biocompatibility and anti-cancer activity, respectively. [ABSTRACT FROM AUTHOR] |
| Copyright of Colloids & Surfaces B: Biointerfaces is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
Be the first to leave a comment!
