Hybrid Nanoparticle Engineered with Transforming Growth Factor -β1-Overexpressed Extracellular Vesicle and Cartilage-Targeted Anti-Inflammatory Liposome for Osteoarthritis

Extracellular vesicles (EVs) possess the characteristics of their parent cells, based on which various studies have actively investigated treatments for diseases using mesenchymal stem cell-derived EVs due to their regenerative activity. Furthermore, in recent years, there have been significant efforts to engineer EVs to improve their native activities and integrate additional functions. Although both endogenous and exogenous methods are used for engineering EVs, endogenous methods may pose the problem of administering substances to cells undergoing metabolic changes, which can cause potential side effects. In addition, exogenous methods may have the limitation of losing beneficial factors inside EVs due to membrane disruption during engineering processes. Surface modification of EVs may also impair efficiency due to the presence of proteins on the EV surface. Therefore, in this study, a stable and efficient engineering method was achieved through the ethanol-mediated hybridization of EVs and functionalized lipid nanoparticles (LNPs) with a fusogenic lipid component. During hybridization, the internal bioactive factors and targeting moiety were maintained to possess the characteristics of both LNPs and EVs. The Ab-Hybrid, which was successfully synthesized through hybridization with nicotinamide-encapsulated and Col2A1 antibody-modified liposome and Transforming growth factor-β1 (TGF-β1)-overexpressed EVs, was administered to osteoarthritis (OA)-induced rats undergoing the destabilization of the medial meniscus surgery. Ultimately, the Ab-Hybrid demonstrated excellent chondroprotective and anti-inflammatory effects with targeting and long-lasting properties in OA lesions. We anticipate that this approach for manufacturing hybrid particles will serve as a valuable EV engineering method and a versatile platform technology applicable to various diseases.