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Advanced Healthcare MaterialsBioengineeringPeer-reviewed journal article

Engineered chitosan-derived nanocarrier for efficient siRNA delivery to peripheral and central neurons

Ana Patrícia SpenceriD, Adriana VilaçaiD, Miguel XavieriD, Rafael SantosiD, Ariel IonescuiD, María Gómez-LázaroiD, Victoria LeiroiD, Eran PerlsoniD, Sofia C. GuimarãesiD, Ben Meir MaoziD, Ana Paula PêgoiD

PDFDOIPreprint

Abstract

Gene therapy using small interfering RNA (siRNA) holds promise for treating neurological disorders by silencing specific genes, such as the phosphatase and tensin homolog (PTEN) gene, which restricts axonal growth. Yet, delivering siRNA to neurons efficiently is challenging due to premature degradation and unspecific delivery. Chitosan-based delivery systems have shown great potential due to their well-established biocompatibility. However, their limited transfection efficiency and lack of neuronal tropism require further modification. Building on our previous successes with neuron-targeted DNA delivery using chitosan, a novel approach for siRNA delivery aimed at PTEN downregulation is proposed. This involves using thiolated trimethyl chitosan (TMCSH)-based siRNA nanoparticles functionalized with the neurotropic C-terminal fragment of the tetanus neurotoxin heavy chain (HC) for efficient delivery to both peripheral and central neurons. These polyplexes demonstrated suitable physicochemical properties, biocompatibility, and no adverse effects on neuronal electrophysiology. Diverse neuronal models, including 3D ex vivo cultures and microfluidics, confirmed polyplexes efficiency and neurospecificity. HC targeting significantly enhanced nanoparticle neuronal binding, and live cell imaging revealed five times faster retrograde transport along axons. Furthermore, siRNA delivery targeting PTEN promoted axonal outgrowth in embryonic cortical neurons. Thus, these polyplexes represent a promising platform for siRNA delivery, offering potential for clinical translation and therapeutic applications.

Citations
8
FWCI
1.92
Field percentile
top 14%

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