title: Application of back-propagation artificial neural network and curve estimation in pharmacokinetics of losartan in rabbit.
abstract: In order to develop pharmacokinetic model, a well-known multilayer feed-forward algorithm back-propagation artificial neural networks (BP-ANN) was applied to the pharmacokinetics of losartan in rabbit. The plasma concentrations of losartan in twelve rabbits, which were divided into two groups and given losartan 2 mg/kg by intravenous (Iv) and intragastrical (Ig) administration, were determined by LC-MS. The BP-ANN model included one input layer, hidden layers, and one output layer was constructed and compared with curve estimation based on the time-concentration data of losartan. The results showed the BP-ANN model had high goodness of fit index and good coherence (R > 0.99) between forecasted concentration and measured concentration both in Iv and Ig administration. The residuals of each concentrations generated by BP-ANN model were all smaller than Curve estimation. The pharmacokinetic result showed there was no significant difference between measured and simulated pharmacokinetic parameters including AUC(0-t), AUC(0-∞), MRT(0-t), MRT(0-∞), T1/2 V and Cmax (P > 0.05). In conclusion, the BP-ANN model has remarkably accurate predictions ability, which better than Curve estimation, and can be used as a utility tool in pharmacokinetic experiment.
authors.affiliation: Department of Cardiology, Wenzhou Central Hospital Wenzhou 325000, China.
authors.forename: Bin
authors.initials: B
authors.lastname: Lin
authors.affiliation: Department of Pharmacy, Taizhou Cancer Hospital Zhejiang Province, China.
authors.forename: Gaotong
authors.initials: G
authors.lastname: Lin
authors.affiliation: Department of Pharmacy, The First Affiliated Hospital, Wenzhou Medical University China.
authors.forename: Xianyun
authors.initials: X
authors.lastname: Liu
authors.affiliation: Analytical and Testing Center; Department of Pharmacology, Wenzhou Medical University Wenzhou 325035, China.
authors.forename: Jianshe
authors.initials: J
authors.lastname: Ma
authors.affiliation: Analytical and Testing Center; Department of Pharmacology, Wenzhou Medical University Wenzhou 325035, China.
authors.forename: Xianchuan
authors.initials: X
authors.lastname: Wang
authors.affiliation: Department of Pharmacy, The First Affiliated Hospital, Wenzhou Medical University China.
authors.forename: Feiyan
authors.initials: F
authors.lastname: Lin
authors.affiliation: Department of Pharmacy, The First Affiliated Hospital, Wenzhou Medical University China.
authors.forename: Lufeng
authors.initials: L
authors.lastname: Hu
keywords: Artificial neural network; back-propagation; losartan; pharmacokinetics