A novel albumin wrapped nanosuspension of meloxicam to improve inflammation-targeting effects.

INTERNATIONAL JOURNAL OF NANOMEDICINE(2018)

引用 25|浏览9
暂无评分
摘要
Background: The objective of this study was to develop a more bio-available and safe nanosuspension of meloxicam (MX), which could dramatically improve inflammation targeting. Methods and results: MX-loaded bovine serum albumin (BSA) nanosuspensions were prepared using acid-base neutralization in aqueous solution and the prepared nanosuspensions were characterized. The results obtained showed that the prepared nanosuspensions had a narrow size distribution with a mean particle size of 78.67 +/- 0.22 nm, a polydispersity index of 0.133 +/- 0.01, and a zeta potential of -11.87 +/- 0.91 mV. The prepared MX nanosuspensions were spherically wrapped by BSA with a smooth surface as shown by transmission electron microscopy. Stability studies showed that the nanosuspensions were physically stable at 4 degrees C with a shelf life of at least 6 months. In the in vitro dissolution test, the MX-loaded BSA nanosuspension (MX-BSA-NS) exhibited sustained release. In addition, an in vivo pharmacokinetic study in rats following intravenous injection showed that the half-life (t(1/2)), mean residence time (MRT), and area under the concentration-time curve (AUC(0-infinity)) of MX-BSA-NS was increased by 169.83%, 150.13%, and 148.80%, respectively, in comparison with MX conventional solution (MX solution). Furthermore, results from inflammation targeting studies showed that the concentration of MX increased significantly in inflamed tissues but was reduced in normal tissues compared with the MX solution group after injection of MX-BSA-NS. Conclusion: The prepared MX-BSA-NS significantly increased the inflammation-targeting properties and bioavailability of MX, suggesting its potential as a promising formulation for the targeted drug delivery of MX in future clinical applications.
更多
查看译文
关键词
nanosuspensions,inflammation targeting,BSA,meloxicam,acid-base neutralization
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要