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首页> 外文期刊>Drug development and industrial pharmacy >Development of a nanogel formulation for transdermal delivery of tenoxicam: a pharmacokinetic-pharmacodynamic modeling approach for quantitative prediction of skin absorption
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Development of a nanogel formulation for transdermal delivery of tenoxicam: a pharmacokinetic-pharmacodynamic modeling approach for quantitative prediction of skin absorption

机译:吲哚菁透皮递送的纳米凝胶制剂的发展:一种用于量化预测皮肤吸收的药代动力学 - 药学造型方法

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摘要

This study investigates potentials of solid lipid nanoparticles (SLN)-based gel for transdermal delivery of tenoxicam (TNX) and describes a pharmacokinetic-pharmacodynamic (PK-PD) modeling approach for predicting concentration-time profile in skin. A 23 factorial design was adopted to study the effect of formulation factors on SLN properties and determine the optimal formulation. SLN-gel tolerability was investigated using rabbit skin irritation test. Its anti-inflammatory activity was assessed by carrageenan-induced rat paw edema test. A published Hill model for in vitro inhibition of COX-2 enzyme was fitted to edema inhibition data. Concentration in skin was represented as a linear spline function and coefficients were estimated using non-linear regression. Uncertainty in predicted concentrations was assessed using Monte Carlo simulations. The optimized SLN was spherical vesicles (58.1 +/- 3.1 nm) with adequate entrapment efficiency (69.6 +/- 2.6%). The SLN-gel formulation was well-tolerated. It increased TNX activity and skin level by 40 +/- 13.5, and 227 +/- 116%, respectively. Average Cmax and AUC(0-24) predicted by the model were 2- and 3.6-folds higher than the corresponding values computed using in vitro permeability data. SLN-gel is a safe and efficient carrier for TNX across skin in the treatment of inflammatory disorders. PK-PD modeling is a promising approach for indirect quantitation of skin deposition from PD activity data.
机译:该研究研究了基于偶像蛋白(TNx)的透皮递送的固体脂质纳米颗粒(SLN)的电位,并描述了用于预测皮肤中浓度 - 药物动力学(PK-PD)建模方法。采用了23个因素设计来研究配方因子对SLN性能的影响,并确定最佳配方。使用兔皮肤刺激试验研究了SLN-凝胶耐受性。通过角叉菜胶诱导的大鼠爪子水肿试验评估其抗炎活性。用于体外抑制COX-2酶的发表的山坡模型被适用于水肿抑制数据。皮肤中的浓度表示为线性样条函数,使用非线性回归估计系数。使用Monte Carlo模拟评估预测浓度的不确定性。优化的SLN是球形囊泡(58.1 +/- 3.1nm),夹带效率适当(69.6 +/- 2.6%)。 SLN-凝胶配方良好耐受。它分别增加TNX活性和皮肤水平40 +/- 13.5,分别为227 +/- 116%。由模型预测的平均CMAX和AUC(0-24)比使用体外渗透数据计算的相应值高2-和3.6倍。 SLN-凝胶是一种安全有效的载体,用于治疗炎症疾病的皮肤。 PK-PD建模是一种有希望的方法,可从PD活动数据间接定量皮肤沉积。

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