Development of GSH-Stimuli-Responsive Micelles Using a Targeted Paclitaxel Prodrug for Enhanced Anticancer Effect.

Background: Cancer ranks as a leading cause of death worldwide. It is urgent to develop intelligent co-delivery systems for cancer chemotherapy to achieve reduced side-effects and enhanced therapeutic efficacy. Methods: We chose oligo-hyaluronic acid (oHA, a low molecular weight of HA) as the carrier, and adriamycin (ADM) and paclitaxel (PTX) as the co-delivered drugs. The oHA-ss-PTX macromolecular prodrug was synthesized by introducing glutathione-stimuli-responsive disulfide bonds through chemical reactions. Then, we constructed ADM-loading micelles (ADM/oHA-ss-PTX) in one step by microfluidic preparation. The delivery efficacy was evaluated comprehensively in vitro and in vivo. The biocompatibility of ADM/oHA-ss-PTX was assessed by hemolysis activity analysis, BSA adsorption testing, and cell viability assay in endothelial cells. Results: The resulting ADM/oHA-ss-PTX micelles possessed a dynamic size (127 ± 1.4 nm, zeta potential -9.0 mV), a high drug loading content of approximately 21.2% (PTX) and 7.6% (ADM). Compared with free ADM+PTX, ADM/oHA-ss-PTX showed enhanced blood stability and more efficiently inhibited cancer cell proliferation. Moreover, due to the CD44-mediated endocytosis pathway, a greater number of ADM/oHA-ss-PTX micelles were absorbed by A549 cells than by oHA-saturated A549 cells. In vivo experiments also showed that ADM/oHA-ss-PTX micelles had excellent therapeutic effects and targeting ability. These results show that ADM/oHA-ss-PTX micelles were a promising platform for co-delivery sequential therapy in CD44-positive cancer. Conclusions: In conclusion, these results convincingly demonstrate that ADM/oHA-ss-PTX micelles hold great promise as a novel platform for co-delivering multiple drugs. Their enhanced properties not only validate the potential of this approach for sequential cancer therapy in CD44-positive cancers but also pave the way for future clinical translation and further optimization in cancer treatment.