Development and validation of in vitro-in vivo correlation (IVIVC) for estradiol transdermal drug delivery systems. Academic Article uri icon

abstract

  • The objective of this study was to develop a level A in vitro-in vivo correlation (IVIVC) for drug-in-adhesive (DIA) type estradiol transdermal drug delivery systems (TDDS). In vitro drug permeation studies across human skin were carried out to obtain the percent of estradiol permeation from marketed products. The in vivo time versus plasma concentration data of three estradiol TDDS at drug loadings of 2.0, 3.8 and 7.6mg (delivery rates of 25, 50 and 100g/day, respectively) was deconvoluted using Wagner-Nelson method to obtain percent of in vivo drug absorption in postmenopausal women. The IVIVC between the in vitro percent of drug permeation (X) and in vivo percent of drug absorption (Y) for these three estradiol TDDS was constructed using GastroPlus software. There was a high correlation (R(2)=1.0) with a polynomial regression of Y=-0.227X(2)+0.331X-0.001. These three estradiol TDDS were used for internal validation whereas another two products of the same formulation design (with delivery rates of 60 and 100g/day) were used for external validation. The predicted estradiol serum concentrations (convoluted from in vitro skin permeation data) were compared with the observed serum concentrations for the respective products. The developed IVIVC model passed both the internal and external validations as the prediction errors (%PE) for Cmax and AUC were less than 15%. When another marketed estradiol TDDS with a delivery rate of 100g/day but with a slight variation in formulation design was chosen, it did not pass external validation indicating the product-specific nature of IVIVC model. Results suggest that the IVIVC model developed in this study can be used to successfully predict the in vivo performance of the same estradiol TDDS with in vivo delivery rates ranging from 25 to 100g/day.

published proceedings

  • J Control Release

altmetric score

  • 0.25

author list (cited authors)

  • Yang, Y., Manda, P., Pavurala, N., Khan, M. A., & Krishnaiah, Y.

citation count

  • 56

complete list of authors

  • Yang, Yang||Manda, Prashanth||Pavurala, Naresh||Khan, Mansoor A||Krishnaiah, Yellela SR

publication date

  • July 2015