Dutta Sandeep, Qiu Yihong, Samara Emil, Cao Guoliang, Granneman G Richard
Global Pharmaceutical Research and Development, Abbott Laboratories, Abbott Park, Illinois 60064, USA.
J Pharm Sci. 2005 Sep;94(9):1949-56. doi: 10.1002/jps.20387.
Defining a quantitative and reliable relationship between in vitro drug release and in vivo absorption is highly desired for rational development, optimization, and evaluation of controlled-release dosage forms and manufacturing process. During the development of a once-daily extended-release (ER) tablet of divalproex sodium, a predictive in vitro drug release method was designed and statistically evaluated using three formulations with varying release rates. In order to establish an internally and externally validated Level A IVIVC, a total of five different ER formulations of divalproex sodium were used to evaluate a linear IVIVC model based on the in vitro test method. For internal validation, a single-dose four-way crossover study (N = 16) was performed using fast-, medium-, and slow-releasing ER formulations and a 12-h IV infusion of valproic acid as reference. To validate the IVIVC externally, a second three-way crossover study (N = 36) was performed using slightly-fast-, medium-, and slightly-slow-releasing ER formulations. The in vivo absorption-time profile was inferred by deconvolution of the observed plasma concentration-time profiles against the unit disposition function (UDF). A linear IVIVC model was established in which the in vivo absorption was expressed as a function of in vitro drug release. Plasma profiles of ER formulations were estimated via convolution of in vitro release profiles with the UDF. Successful internal and external validations of the model were demonstrated by individual and average absolute percent prediction errors of </=9% for both C(max) and AUC(infinity). In conclusion, a Level A IVIVC describing the entire time-course of plasma concentrations was developed and validated, both internally and externally, for ER formulations of divalproex sodium.
为了合理开发、优化和评估控释剂型及制造工艺,非常需要确定体外药物释放与体内吸收之间定量且可靠的关系。在开发丙戊酸钠每日一次缓释(ER)片的过程中,设计了一种预测性体外药物释放方法,并使用三种释放速率不同的制剂进行了统计评估。为了建立内部和外部验证的A级体内-体外相关性(IVIVC),总共使用了五种不同的丙戊酸钠ER制剂,基于体外测试方法评估线性IVIVC模型。对于内部验证,采用快速、中速和慢速释放的ER制剂以及12小时静脉输注丙戊酸作为对照,进行了单剂量四交叉研究(N = 16)。为了外部验证IVIVC,采用稍快、中速和稍慢释放的ER制剂进行了第二项三交叉研究(N = 36)。通过将观察到的血浆浓度-时间曲线与单位处置函数(UDF)进行反卷积来推断体内吸收-时间曲线。建立了一个线性IVIVC模型,其中体内吸收表示为体外药物释放的函数。通过将体外释放曲线与UDF进行卷积来估计ER制剂的血浆曲线。C(max)和AUC(infinity)的个体和平均绝对预测误差均≤9%,证明了该模型成功进行了内部和外部验证。总之,针对丙戊酸钠ER制剂,开发并在内部和外部验证了一个描述血浆浓度整个时间过程的A级IVIVC。