摘要
This work aimed to develop an intelligent multi-target tracking hyaluronic acid-RGDchlorambucil-quantum dots（HA-RGD-CLB-QDs） drug delivery system. After deacetylated, hyaluronic acid was reacted with anticancer drug chlorambucil, RGD, and quantum dots to obtain the HA-RGD-CLB-QDs drug delivery system. The characterization by FT-IR, ~1 H NMR, TEM, XPS, DLS, and UV-vis absorption and fluorescence spectra show that the system is successfully constructed with an average particle size of about 70 nm. The results of the drug release profile show that that the system has a p H and enzyme sensitive controlled release behaviour. Moreover, cellular uptake and toxicity results show that the system has an ideal dual receptormediated endocytosis pathway that significantly enhances the efficacy of CLB tumor therapy and has a lower toxicity to normal cells.The system shows the potential application as a carrier for cancer therapy.
This work aimed to develop an intelligent multi-target tracking hyaluronic acid-RGDchlorambucil-quantum dots（HA-RGD-CLB-QDs） drug delivery system. After deacetylated, hyaluronic acid was reacted with anticancer drug chlorambucil, RGD, and quantum dots to obtain the HA-RGD-CLB-QDs drug delivery system. The characterization by FT-IR, ~1 H NMR, TEM, XPS, DLS, and UV-vis absorption and fluorescence spectra show that the system is successfully constructed with an average particle size of about 70 nm. The results of the drug release profile show that that the system has a p H and enzyme sensitive controlled release behaviour. Moreover, cellular uptake and toxicity results show that the system has an ideal dual receptormediated endocytosis pathway that significantly enhances the efficacy of CLB tumor therapy and has a lower toxicity to normal cells.The system shows the potential application as a carrier for cancer therapy.
基金
Funded by the National Natural Science Foundation of China(Nos.51473130 and 51572206)
the Wuhan Huanghe Excellence Plan and Entrepreneurship Training Program of Wuhan University and Technology(Nos.20171049720018,20171049720019 and 20171049720009)
