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PEGylated pH-Responsive Liposomes for Enhancing the Intracellular Uptake and Cytotoxicity of Paclitaxel in MCF-7 Breast Cancer Cells

  • Harsh P. Nijhawan,
  • Pooja Shyamsundar,
  • Bala Prabhakar,
  • Khushwant S. Yadav

摘要

This study aimed to develop paclitaxel (PTX)-loaded PEGylated (PEG)-pH-sensitive (SpH) liposomes to enhance drug delivery efficiency and cytotoxicity against MCF-7 breast cancer cells. PTX-loaded PEG-SpH liposomes were prepared using the thin film hydration method. ATR-FTIR compatibility studies revealed no significant interactions among liposome formulation components. TEM images confirmed spherical morphology, stability, and an ideal size range (180–200 nm) for improved blood circulation. At pH 5.5, liposomes exhibited increased size and positive zeta potential, indicating pH-sensitive properties due to CHEMS response to the acidic tumor microenvironment. Conversely, at pH 7.4, liposomes showed a slightly larger size (199.25 ± 1.64 nm) and a more negative zeta potential (-36.94 ± 0.32 mV), suggesting successful PEG-SpH surface modification, enhancing stability, and reducing aggregation. PTX-loaded PEG-SpH liposomes demonstrated high encapsulation efficiency (84.57 ± 0.92% w/w) and drug loading capacity (4.12 ± 0.26% w/w). In-vitro drug release studies revealed accelerated first-order PTX release at pH 5.5 and a controlled zero-order release at pH 7.4. Cellular uptake studies on MCF-7 cells demonstrated enhanced PTX uptake, attributed to mPEG-PCL incorporation prolonging circulation time and CHEMS facilitating PTX release in the tumor microenvironment. Furthermore, PTX-loaded PEG-SpH liposomes exhibited significantly improved cytotoxicity with an IC50 value of 1.107 µM after 72-h incubation, approximately 90% lower than plain PTX solution. Stability studies confirmed the robustness of the liposomal formulation under various storage conditions. These findings highlight the potential of PEGylated pH-responsive liposomes as effective nanocarriers for enhancing PTX therapy against breast cancer.

Graphical Abstract