Optimization of component compatibility of Naomaitong for anti-cerebral ischemia treatment based on artificial neural network / 中国药学杂志

ABSTRACT

OBJECTIVE: To optimize the component compatibility of Naomaitong for anti-cerebral ischemia treatment based on artificial neural network. METHODS: The five effective parts in Naomaitong were divided into ten groups by uniform design. Except the rats in the sham groups, all rats were subject to right middle cerebral artery occlusion (MCAO) with the suture-occluded method by Longa. The effect of Naomaitong was evaluated based on the bulk density of necrotic zone and infarction area percentage. The artificial neural network model was established for pharmacodynamic prediction. RESULTS: The model established in this study could predict the actions of different drug combinations. The best effect was obtained by the following formula total anthraquinones of rhubarb (TAR) 180 mg·kg-1, total saponins of Ginseng (TSG) 70 mg·kg-1, total flavonoids of Pueraria (TFP) 450 mg·kg-1, total phenolic acid of Ligusticum wallichii (TPLW) 27 mg·kg-1, rhizome oil (RO) 110 μL·kg-1. CONCLUSION: Different compatibilities of Naomaitong are all effective for the treatment of ischemia in rats. Uniform design combined with ANN can be a more efficient method to realize dose optimization for Naomaitong prescription.