Surface functionalization of doxorubicin-loaded liposomes with octa-arginine for enhanced anticancer activity

Doxorubicin-loaded PEGylated liposomes (commercially available as DOXIL® or Lipodox®) were surface functionalized with a cell-penetrating peptide, octa-arginine (R8). For this purpose, R8-peptide was conjugated to the polyethylene glycol–dioleoyl phosphatidylethanolamine (PEG–DOPE) amphiphilic co-polymer. The resultant R8–PEG–PE conjugate was introduced into the lipid bilayer of liposomes at 2 mol% of total lipid amount via spontaneous micelle-transfer technique. The liposomal modification did not alter the particle size distribution, as measured by Particle Size Analyzer and transmission electron microscopy (TEM). However, surface-associated cationic peptide increased zeta potential of the modified liposomes. R8-functionalized liposomes (R8-Dox-L) markedly increased the intracellular and intratumoral delivery of doxorubicin as measured by flow cytometry and visualizing by confocal laser scanning microscopy (CLSM) compared to unmodified Doxorubicin-loaded PEGylated liposomes (Dox-L). R8-Dox-L delivered loaded Doxorubicin to the nucleus, being released from the endosomes at higher efficiency compared to unmodified liposomes, which had marked entrapment in the endosomes at tested time point of 1 h. The significantly higher accumulation of loaded drug to its site of action for R8-Dox-L resulted in improved cytotoxic activity in vitro (cell viability of 58.5 ± 7% for R8-Dox-L compared to 90.6 ± 2% for Dox-L at Dox dose of 50 μg/mL for 4 h followed by 24 h incubation) and enhanced suppression of tumor growth (348 ± 53 mm3 for R8-Dox-L, compared to 504 ± 54 mm3 for Dox-L treatment) in vivo compared to Dox-L. R8-modification has the potential for broadening the therapeutic window of pegylated liposomal doxorubicin treatment, which could lead to lower non-specific toxicity.

Surface modification of Doxorubicin-loaded liposomes with octa-arginine dramatically improves intracellular delivery of the loaded Doxorubicin.Figure optionsDownload high-quality image (208 K)Download as PowerPoint slide