Caffeic Acid-Grafted PLGA as a Novel Material for the Design of Fluvastatin-Eluting Nanoparticles for the Prevention of Neointimal Hyperplasia.
Stefano BellostaFrancesca SelminGiulia MagriSilvia CastiglioniPatrizia ProcacciPatrizia SartoriEdoardo ScarpaValerio TolvaClara RossiFrancesco PuociLoris RizzelloFrancesco CilurzoPublished in: Molecular pharmaceutics (2022)
Drug-eluting nanoparticles (NPs) administered by an eluting balloon represent a novel tool to prevent restenosis after angioplasty, even if the selection of the suitable drug and biodegradable material is still a matter of debate. Herein, we provide the proof of concept of the use of a novel material obtained by combining the grafting of caffeic acid or resveratrol on a poly(lactide- co -glycolide) backbone ( g -CA-PLGA or g -RV-PLGA) and the pleiotropic effects of fluvastatin chosen because of its low lipophilic profile which is challenging for the encapsulation in NPs and delivery to the artery wall cells. NPs made of such materials are biocompatible with macrophages, human smooth muscle cells (SMCs), and endothelial cells (ECs). Their cellular uptake is demonstrated and quantified by confocal microscopy using fluorescent NPs, while their distribution in the cytoplasm is verified by TEM images using NPs stained with an Ag-PVP probe appositely synthetized. g -CA-PLGA assures the best control of the FLV release from NP sizing around 180 nm and the faster SMC uptake, as demonstrated by confocal analyses. Interestingly and surprisingly, g -CA-PLGA improves the FLV efficacy to inhibit the SMC migration, without altering its effects on EC proliferation and migration. The improved trophism of NPs toward SMCs, combined with the excellent biocompatibility and low modification of the microenvironment pH upon polymer degradation, makes g -CA-PLGA a suitable material for the design of drug-eluting balloons.
Keyphrases
- drug delivery
- drug release
- endothelial cells
- bone regeneration
- oxide nanoparticles
- quantum dots
- protein kinase
- stem cells
- optical coherence tomography
- deep learning
- high glucose
- emergency department
- cell cycle arrest
- ionic liquid
- convolutional neural network
- endoplasmic reticulum stress
- vascular smooth muscle cells
- walled carbon nanotubes
- breast reconstruction