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Issue 9, 2019
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A dual pH-sensitive liposomal system with charge-reversal and NO generation for overcoming multidrug resistance in cancer

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Abstract

In cancer therapy, chemotherapeutic drugs frequently encounter multidrug resistance (MDR) induced by the overexpression of drug transporters such as P-glycoprotein (P-gp). Herein, in order to overcome MDR and improve the effectiveness of chemotherapy, we developed a novel pH-sensitive charge-reversal and NO generation liposomal system by modifying a pH-sensitive polymer (PEG-PLL-DMA) on the surface of cationic liposomes for delivering a NO donor (DETA NONOate) and a chemotherapy drug (paclitaxel, PTX) into MDR cells. The proposed liposomal system (PTX/NO/DMA-L) exhibited a distinctive charge-reversal capacity, which was negatively charged under physiological conditions (pH 7.4) but could reverse to positive charge in a tumor microenvironment (pH 6.5) due to the cleavable amide linkages formed between PEG-PLL and DMA, leading to the improvement of cell uptake. Once arrived in the endosomes and lysosomes (pH 5.0), DETA NONOate was triggered to decompose and release NO, which further promoted the quick release of PTX and inhibited the P-gp mediated efflux. The charge-reversal, NO generation and NO-triggered rapid release of drugs could significantly increase the accumulation of PTX in tumors and eventually improve the antitumor efficacy. These results indicate that this dual pH-sensitive liposomal system is a highly promising approach for chemotherapy and may pave a new avenue for overcoming MDR in cancer.

Graphical abstract: A dual pH-sensitive liposomal system with charge-reversal and NO generation for overcoming multidrug resistance in cancer

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Publication details

The article was received on 02 Aug 2018, accepted on 10 Dec 2018 and first published on 11 Dec 2018


Article type: Paper
DOI: 10.1039/C8NR06218H
Citation: Nanoscale, 2019,11, 3814-3826

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    A dual pH-sensitive liposomal system with charge-reversal and NO generation for overcoming multidrug resistance in cancer

    M. Chen, F. Song, Y. Liu, J. Tian, C. Liu, R. Li and Q. Zhang, Nanoscale, 2019, 11, 3814
    DOI: 10.1039/C8NR06218H

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