Comparative optimization of polysaccharide-based nanoformulations for cardiac RNAi therapy

Area of Science:

• Biomaterials Science
• Nanotechnology
• Gene Therapy

Background:

• Ionotropic gelation is a common method for fabricating targeted nanoparticles (NPs) using polysaccharides.
• Identifying optimal formulations for polysaccharide-based NPs is challenging due to limited compound diversity and screening processes.

Purpose of the Study:

• To develop a diversity-oriented combinatory formulation screening strategy for identifying potent gene delivery nanoparticles.
• To optimize formulations for precision cardiac therapy using RNA delivery systems.

Main Methods:

• Utilized a high-throughput microfluidics workstation for automatic, step-wise screening of cationic compounds with an ionic polysaccharide framework.
• Employed a streamlined nanoparticle characterization system and computational aided interpretation for formulation optimization.

Main Results:

• Successfully identified novel nanoparticles, termed GluCARDIA NPs, for effective RNA loading.
• Demonstrated the efficacy of GluCARDIA NPs in ameliorating cardiac reperfusion damage and improving long-term prognosis.

Conclusions:

• Presented a generalizable formulation design strategy for polysaccharide-based nanoparticles.
• Highlighted the importance of compound library diversity and computational insights for efficient formulation identification and optimization in gene therapy.