Cleavable Cationic Carbosilane Dendrimers with pH-Tunable Charge as siRNA Carriers

Judith Recio-Ruiz1, Paulina Rycharska2,3, Małgorzata Grygiel2

  • 1University of Alcala, Department of Organic and Inorganic Chemistry and Research Institute in Chemistry "Andrés M. Del Río" (IQAR), Madrid 28805, Spain.

Biomacromolecules
|July 18, 2025
PubMed

Insights

Researchers developed novel pH-responsive carbosilane dendrimers for gene therapy. These biocompatible nanocarriers offer tunable charge and cargo release, showing promise for targeted siRNA delivery in cancer treatment.

Area of Science:

  • Biomaterials Science
  • Nanotechnology
  • Gene Therapy

Background:

  • Efficient and biocompatible vectors are crucial for gene therapy.
  • Tumor microenvironments' varying pH necessitates pH-responsive nanocarriers for cancer therapy.
  • Conventional nonviral vectors may exhibit toxicity and persistence issues.

Purpose of the Study:

  • To design and characterize a new family of cationic carbosilane dendrimers.
  • To evaluate the pH-tunable charge and cleavable core features for enhanced siRNA delivery.
  • To assess the biocompatibility and potential of these dendrimers as pH-responsive nanocarriers.

Main Methods:

  • Synthesis and structural characterization of carbosilane dendrimers.
  • Exploration of biophysical properties at varying pH (4.5, 5.5, 7.4).
  • In vitro evaluation of biocompatibility in tumoral and non-tumoral cells and hemolytic effect assessment.

Main Results:

  • The novel carbosilane dendrimers demonstrated pH-tunable charge characteristics.
  • A cleavable core was incorporated to facilitate cargo release.
  • The dendrimers showed good biocompatibility and a proof-of-concept for pH-responsive siRNA delivery was established.

Conclusions:

  • The designed carbosilane dendrimers represent a promising platform for pH-responsive gene delivery.
  • Their tunable properties offer advantages for targeted cancer therapy.
  • Further development could lead to safer and more effective gene therapy vectors.