Development of cryptotanshinone-loaded pellets for angina chronotherapy: In vitro/in vivo prediction and evaluation.

Abstract

The clinical manifestations of variant angina is unevenly distributed during the 24 h, thus the in vivo performance of drugs should be tailored according to the angina circadian rhythm. Cryptotanshinone (CTN) is one of the representative bioactive lipid-soluble components of Danshen which has been commonly used for cardiovascular diseases such as angina pectoris. The aim of this study was to develop a novel CTN sustained-released pellets (CTN-SRPs) to precisely synchronize the CTN plasma concentrations with predicted occurrence of angina pectoris for angina chronotherapy. A deconvolution-based method was applied to develop and optimize the CTN-SRPs. The plasma concentration-time curve of CTN immediate-released formulation after oral administration in rats was used as the weight function. The predicted plasma concentration-time curve of CTN-SRPs simulated according to the incidence of variant angina during 24 h was used as the response function. Then the desired drug release profile of CTN-SRPs was calculated based on deconvolution using weight function and response function, and subsequently used for guiding the formulation optimization. CTN-SRPs were prepared with the combinations of PVP, poloxamer 127 and EC as matrix using fluidized bed technology. An orthogonal design was employed to obtain the optimal formulation with its release profile similar with the desired one. Pharmacokinetic studies validated that the actual plasma concentration-time curve of these optimized CTN-SRPs was similar with the predicted one. In addition, the percent errors (%PE) of CTN plasma concentrations in 8-12 h were less than 10%. In conclusion, this deconvolution-based method could be applied to adjust the in vivo performance of drugs for angina chronotherapy.

• Authors: Zhenghua Li, Shuangshuang Zhang, Hongxiang Yan, Jianping Liu
• Journal: Asian journal of pharmaceutical sciences (Asian J Pharm Sci) Vol. 13 Issue 4 Pg. 310-316 (Jul 2018) ISSN: 2221-285X [Electronic] Netherlands
• PMID: 32104404 (Publication Type: Journal Article)
• Copyright: © 2018 Shenyang Pharmaceutical University. Published by Elsevier B.V.