Optimized Lipid Nanoparticles for Pioglitazone Delivery: Molecular Docking Insights and In Vivo Efficacy in Nonalcoholic Steatohepatitis

吡格列酮 体内 脂肪性肝炎 生物利用度 化学 药理学 溶解度 药品 体外 药物输送 生物化学 药代动力学 脂肪肝 纳米载体 肝脏代谢 肝病 靶向给药 纳米颗粒 固体脂质纳米粒 毒品携带者 粒径
作者
Shimul Halder,Tanveer Hossain,Najibah Nasrin,Rumman Reza,Md. Nazmus Samdani,Manik Chandra Shill,Jakir Ahmed Chowdhury,Md Selim Reza
出处
期刊:Nano LIFE [World Scientific]
标识
DOI:10.1142/s1793984426500030
摘要

Nonalcoholic steatohepatitis (NASH) is a progressive liver disease with limited therapeutic options, where pioglitazone (PGZ), a PPAR-[Formula: see text] agonist, has shown promise but suffers from poor solubility and systemic side effects. In this study, we developed and optimized lipid nanoparticles (LNP-PGZ) to enhance the targeted delivery and therapeutic efficacy of PGZ for the treatment of NASH. The formulation was designed to improve solubility and stability, and was characterized through detailed physicochemical analyses, including particle size distribution and in vitro dissolution studies. The optimized LNP-PGZ exhibited a particle size of 56.7 nm, a PDI of 0.113, an EE% of 85% and a DL% of 8.5%. Moreover, the optimized LNP-PGZ exhibited a controlled drug-release profile compared with free PGZ, suggesting improved therapeutic potential. Molecular docking studies further supported the formulation’s effectiveness by demonstrating strong binding affinity of PGZ for key NASH-related targets, including PPAR-[Formula: see text] and STK25, highlighting its potential to modulate metabolic and inflammatory pathways. In vivo efficacy was evaluated in a rat model of NASH induced by a high-fat diet (HFD). Furthermore, LNP-PGZ significantly reduced liver damage in rats with HFD-induced hepatic injury, with 91.7% ([Formula: see text]) reduction in ALT and 86.8% ([Formula: see text]) in AST (Group IV) compared to the disease control (Group II). These findings collectively suggest that LNP-PGZ not only enhances its solubility and bioavailability but also amplifies its therapeutic benefits in NASH, potentially reducing off-target effects. This integrated approach, combining molecular modelling and in vivo validation, offers a promising platform for advancing safer, more effective treatments for liver diseases, such as NASH.

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