Formulation, Optimization, and Evaluation of Allopurinol-Loaded Bovine Serum Albumin Nanoparticles for Targeting Kidney in Management of Hyperuricemic Nephrolithiasis

AAPS PharmSciTech(2020)

引用 7|浏览3
暂无评分
摘要
The aim of present research work was to design, fabricate, optimize, and evaluate allopurinol (ALLO)-loaded bovine serum albumin nanoparticles (ABNPs) for kidney targeting of the drug and exploring the potential of fabricated ABNPs for management of hyperuricemia-related nephrolithiasis. ABNP formulation was prepared by employing desolvation technique, and its optimization was conducted by 2-factor-3-level central composite design (CCD) in order to achieve minimum particle size (PSA) and polydispersity index (PDI), maximum entrapment efficiency (EE), and zeta potential (ZP). Further, the optimized formulation (ABNPs opt ) was also assessed for in vitro drug release study, TEM, DSC, XRD analysis, FTIR spectroscopy, and in vivo animal study. The in vivo study revealed that after 2 h of ABNPs opt administration, a significant concentration of ALLO was present in kidney (21.26-fold) as compared with serum while in case of standard pure drug group; no drug was seen in mice kidney and serum post 2 h administration, which indicates successful targeting of ALLO by formulating its albumin nanoparticles. Also, uric acid and pH levels were measured in serum and urine samples of mice which showed significant ( P < 0.01) efficacy of ABNPs opt formulation in management of hyperuricemia-related nephrolithiasis. Histological studies on kidney samples also confirmed these outcomes. Findings of present study indicate higher kidney uptake of allopurinol from formulated ABNPs opt , which could be due to the specificity of albumin polymer for cubilin and megalin receptors, and it also serves as effective strategy in management of hyperuricemic-related nephrolithiasis.
更多
查看译文
关键词
albumin nanoparticles, central composite design, allopurinol, kidney targeting, nephropathy, sustained release
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