Pharmacokinetic parameters of morroniside in iridoid glycosides of Fructus corni processing based on back-propagation neural network

Context: Fructus Corni is derived from the dry ripe sarcocarp of Cornus officinalis Sieb. et Zucc. (Cornaceae). Morroniside is an active constituent of Fructus Corni used in many traditional Chinese medicines (TCMs). This article describes a sensitive and specific assay for the quantitation of morroniside in rat plasma after oral administration of iridoid glycosides from Fructus Corni. Materials and methods: In this article, back-propagation (BP) neural network method was fist developed for the prediction of pharmacokinetic (PK) parameters of morroniside in Fructus Corni. Results: The results show that mean square error (MSE) of neural network model with 11 hidden neurons and 90% training data is 0.092. Discussion and conclusion: This article provides a new method to calculate PK data, one do not need to figure out all the compartment parameters to acquire PK data of morroniside. Therefore, the BP neural network method would be useful for guiding the holistic PK study in consistence with the intrinsic theory and characteristics of TCM.