Targeting CXCR4-expressing Cancer Cells with Avidin-poly (lactic-co-glycolic acid) Nanoparticle Surface Modified with

Shiba Ansari1, Madeeha Mudassir2, B Vijayalekshmi3

  • 1Department of Biochemistry, University College of Medical Sciences, Delhi, India.

Abstract

Insights

This study developed targeted nanoparticles for cancer therapy. The DV1 peptide-tagged avidin-poly (lactic-co-glycolic acid) nanoparticles specifically target CXCR4-expressing cancer cells, showing potential for enhanced cancer treatment.

Area of Science:

  • Biomedical Engineering
  • Nanotechnology
  • Oncology

Background:

  • Chemokine receptor CXCR4 is a common target in various cancers.
  • Targeted drug delivery systems can improve cancer treatment efficacy.
  • DV1 peptide is a potential CXCR4 ligand for targeted therapy.

Purpose of the Study:

  • To create a CXCR4-targeting drug delivery system using avidin-poly (lactic-co-glycolic acid) (PLGA) nanoparticles.
  • To functionalize nanoparticle surfaces with a biotinylated DV1 peptide ligand.
  • To evaluate the targeted delivery and specificity of the developed nanoparticles.

Main Methods:

  • Avidin-PLGA nanoparticles were synthesized using a double-emulsion solvent evaporation technique.
  • Nanoparticle characterization included transmission electron microscopy (TEM) and dynamic light scattering.
  • In vitro studies on U87MG cells (CXCR4-expressing) were conducted using confocal microscopy.

Main Results:

  • Successful synthesis of avidin-PLGA nanoparticles confirmed by FITC-labeled biotin tagging.
  • DV1 peptide-tagged nanoparticles demonstrated specific uptake by CXCR4-expressing cells.
  • The targeted delivery system showed specificity for cancer cells with CXCR4 receptors.

Conclusions:

  • The developed avidin-PLGA nanoparticles tagged with biotinylated DV1 peptide are effective for targeted cancer therapy.
  • This targeted delivery system shows promise for treating CXCR4-expressing cancers.
  • The system has potential clinical applications in enhancing cancer treatment efficiency.

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