Issue 29, 2020, Issue in Progress

In vivo and in vitro evaluation of dihydroartemisinin prodrug nanocomplexes as a nano-drug delivery system: characterization, pharmacokinetics and pharmacodynamics

Abstract

To develop new, more effective and lower toxicity antitumor dihydroartemisinin (DHA) nanocomplexes, a DHA prodrug synthesized in this study was used to prepare DHA prodrug self-assembled nanocomplexes (DHANPs) by molecular self-assembly technology. The optimization, pharmacokinetics and in vitro and in vivo antitumor efficiency of DHANPs were assessed. The results showed that the entrapment efficiency, drug loading, particle size and zeta potential of the optimized formulation were 92.37 ± 3.68%, 76.98 ± 3.07%, 145.9 ± 2.11 nm and −16.0 ± 0.52 mV, respectively. DHANPs had a uniform size distribution and good stability during storage. The release of DHA prodrugs from DHANPs was slow in a PBS solution (pH 7.4). The pharmacokinetic study indicated that DHANPs could significantly improve the blood concentration of DHA. DHANPs exhibited lower cytotoxicity to 4T1 cells. More importantly, DHANPs could increase the quality life of mice in comparison with that of the DHA solution in 4T1 tumor-bearing mice. In short, the optimized DHA prodrug nanocomplexes show good long-term stability during the experimental time, extend the life-cycle of DHA in rats and can act as a prospective nano-drug delivery system for future artemisinin-based anti-tumor drugs.

Graphical abstract: In vivo and in vitro evaluation of dihydroartemisinin prodrug nanocomplexes as a nano-drug delivery system: characterization, pharmacokinetics and pharmacodynamics

Supplementary files

Article information

Article type
Paper
Submitted
07 Mar 2020
Accepted
27 Mar 2020
First published
04 May 2020
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2020,10, 17270-17279

In vivo and in vitro evaluation of dihydroartemisinin prodrug nanocomplexes as a nano-drug delivery system: characterization, pharmacokinetics and pharmacodynamics

G. Ren, P. Chen, J. Tang, W. Guo, R. Wang, N. Li, Y. Li, G. Zhang, R. Wang and S. Zhang, RSC Adv., 2020, 10, 17270 DOI: 10.1039/D0RA02150D

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