Formulation and Characterization of RBCS Coated Carboplatin Loaded Nano-Liposomal Formulation for Managing Breast Cancer

Akhilesh Dubey, Faby Raju, Cynthia Lizzie Lobo, Ravi Gs, Srinivas Hebbar, Amitha Shetty, Pankaj Kumar, Sally A. El-Zahaby*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Cell membrane-coated Nano-Liposomes (CM-NLPs) offer a promising approach that combines the advantages of both host cells and synthetic nano-liposomes (NLPs). This technique involves coating liposomes with red blood cell (RBC) membranes to enhance their functionality. In this study, novel carboplatin-loaded NLPs (CP-NLPs) were formulated using phospholipids (Soya Phosphatidyl Choline) and cholesterol through the thin-film hydration method, and optimized using a 32 full factorial design. The optimized CP-NLPs were coated with RBC membranes, resulting in the formulation “CP-RBCs-NLPs.” These were characterized for particle size, zeta potential, entrapment efficiency, transmission electron microscopy (TEM), differential scanning calorimetry (DSC), protein content, in vitro drug release, cell viability, and stability. The optimized CP-RBCs-NLPs exhibited a particle size of 103.6 nm, with zeta potential values of −27.3 mV indicating good stability. The entrapment efficiency was approximately 56%, and the drug release profile showed sustained release for up to 8 h. Cytotoxicity studies in human triple-negative breast cancer (MDA-MB468) cell lines demonstrated that CP-RBCs-NLPs effectively delivered the drug into target cells, facilitating cell death due to their bilayer structure similar to cell membranes. Overall, CP-RBCs-NLPs outperformed both carboplatin-loaded conventional NLPs (CP-CNLPs) and carboplatin-conventional solution (CP-CNS), making it a superior formulation for drug delivery.

Original languageEnglish
Article numbere70019
JournalDrug Development Research
Volume85
Issue number8
DOIs
Publication statusPublished - 12-2024

All Science Journal Classification (ASJC) codes

  • Drug Discovery

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