Literature DB >> 19049413

Analysis of risk factors in human bioequivalence study that incur bioinequivalence of oral drug products.

Shinji Yamashita1, Hidehisa Tachiki.   

Abstract

In the study of human bioequivalence (BE), newly developed oral products sometimes fail to prove BE with a reference product due to the high variability in pharmacokinetic (PK) parameters after oral absorption. In this study, risk factors that incur bioinequivalence in BE study were analyzed by applying the Biopharmaceutics Classification System (BCS). Forty-four generic products were selected from a database of BE studies in the past 10 years at Towa Pharmaceutical Co., Ltd. (Osaka, Japan), and 90% confidence interval (CI) of AUC and C(max) in human BE study for all products were converted into coefficient of variation (CV(90)). Then, the required number of subjects to confirm BE was estimated from the 90% CI in human BE study of new products. It was found that both the permeability of drugs to human intestinal membrane (P(eff)) and the dose number calculated from their water solubility did not correlate well to CV(90) and the estimated subject number in human BE study, suggesting the contribution of other factors to cause the variability in oral drug absorption. As the PK parameter of drugs, the value of AUC/dose was calculated and plotted against CV(90) and the estimated subject number by classifying drugs into 4 BCS classes. For drugs in classes 1 and 3, AUC/dose gave a clear criterion to distinguish the drugs with a high risk of bioinequivalence, where drugs with low AUC/dose showed high CV(90) and large number of subjects. It was suggested that the high metabolic clearance (for class 1 drug) and low oral absorption (for class 3 drug) could be significant factors to incur bioinequivalence in human BE study, although for drugs in classes 2 and 4, clear factors were not defined. Consequently, for drugs in BCS classes 1 and 3, risks in human BE study to incur bioinequivalence could be predicted by calculating the AUC/dose. In the case of generic drugs, since the parameter of AUC/dose is available before initiating human BE study, this finding is expected to promote an efficient and cost-saving strategy for the development of oral drug products.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19049413     DOI: 10.1021/mp800140m

Source DB:  PubMed          Journal:  Mol Pharm        ISSN: 1543-8384            Impact factor:   4.939


  2 in total

Review 1.  Prediction of solubility and permeability class membership: provisional BCS classification of the world's top oral drugs.

Authors:  Arik Dahan; Jonathan M Miller; Gordon L Amidon
Journal:  AAPS J       Date:  2009-10-30       Impact factor: 4.009

2.  Application of physiologically based pharmacokinetic modeling in predicting drug-drug interactions for sarpogrelate hydrochloride in humans.

Authors:  Jee Sun Min; Doyun Kim; Jung Bae Park; Hyunjin Heo; Soo Hyeon Bae; Jae Hong Seo; Euichaul Oh; Soo Kyung Bae
Journal:  Drug Des Devel Ther       Date:  2016-09-14       Impact factor: 4.162

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.