[Pharmacokinetics-pharmacodynamics correlation of protocatechuic aldehyde and hydroxysafflor yellow A alone or their combination use in rats with hyperlipidemia].

To study the pharmacokinetics-pharmacodynamics correlation of protocatechuic aldehyde and hydroxysafflor yellow A alone or their combination use in rats with hyperlipidemia. In this study, the hyperlipidemia model was established by intravenous injection of protocatechuic aldehyde (20 mg•kg⁻¹) and hydroxysafflor yellow A (12 mg•kg⁻¹). The HPLC-DAD method was applied to determine the plasma concentration of protocatechuic aldehyde and hydroxysafflor yellow A at different time points and draw the drug effect-time curve. Meanwhile, the platelet activating factors (PAF) and plasma a granule membrane protein (GMP-140) contents were determined at different time points to draw the time-effect curve. Then DAS 3.2.6 software was used to process the data, analyze their correlation, and compare the difference of pharmacokinetics and pharmacodynamics of protocatechuic aldehyde and hydroxysafflor yellow A in hyperlipidemia rats after alone or their combined application, so as to evaluate the effect of protocatechuic aldehyde and hydroxysafflor yellow A on hyperlipidemia rats. According to the result, the pharmacokinetics and pharmacodynamics process of protocatechuic aldehyde and hydroxysafflor yellow A in hyperlipidemia rats after alone or their combination were consistent to the three-compartment model. In model group, the plasma PAF and GMP-140 were significantly increased, and the PAF and GMP-140 in vivo contents were decreased in a certain time after treatment. The effects of protocatechuic aldehyde and hydroxysafflor yellow A against the pharmacodynamic action may be related with their level in vivo, and their plasma concentration was positively related to the PAF and GMP-140 contents. The pharmacodynamic indexes were better after the combined use of protocatechuic aldehyde and hydroxysafflor yellow A, with certain influence on each other in hyperlipidemia rats; at the same time, it also reflected the rationality of protocatechuic aldehyde and hydroxysafflor yellow A combined application.

[Study on multi-target optimization of prescription dose of Mahuang decoction].

OBJECTIVE: To optimize the prescription dose of Mahuang decoction in a multi-target manner, in order to provide reference for the quantitative optimization of the prescription dose of the traditional Chinese medicine compound. METHOD: The number of diaphoretic spots in rats, the tracheal antispasmodic rate in guinea pigs and the writhing times by acetic acid in mice were taken as the indexes for evaluating the diaphoretic, antispasmodic and analgesic effects. According to the experimental results of the 16 orthogonal combination prescriptions, a mathematical dose-effect model was built by support vector regression (SVR) and quadratic response surface regression (RSR) respectively. The multi-target optimization was achieved by elitist non-dominated sorting genetic algorithm (NSGA-II) and entropy weight TOPSIS method. RESULT: The optimal dose of Mahuang decoction after being optimized by SVR modeling contained 17.71 g of Ephedrae Herba, 9.57 g of Cinnamomi Ramulus, 11.75 g of Armeniacae Semen Amarum and 4.39 g of Glycyrrhizae Radix et Rhizoma Praeparata Cum Melle. The optimized result by RSR modeling contained 13.37 g of Ephedrae Herba, 11.61 g of Cinnamomi Ramulus, 11.98 g of Armeniacae Semen Amarum and 5.67 g of Glycyrrhizae Radix et Rhizoma Praeparate Cum Melle. SVR was superior to RSR in both of the forecast capacity and optimization results. CONCLUSION: SVR-NSGA-II-TOPSIS method could be adopted for the multi-target optimization for the dose of Mahuang decoction and other traditional Chinese medicine compounds. It is proved to be the optimal prescription with the best efficacy, and could provide scientific quantitative basis for determining the dose of traditional Chinese medicine compound prescriptions and developing new traditional Chinese medicines.

Chaos of elementary cellular automata rule 42 of Wolfram's class II.

In this paper, the dynamics of elementary cellular automata rule 42 is investigated in the bi-infinite symbolic sequence space. Rule 42, a member of Wolfram's class II which was said to be simply as periodic before, actually defines a chaotic global attractor; that is, rule 42 is topologically mixing on its global attractor and possesses the positive topological entropy. Therefore, rule 42 is chaotic in the sense of both Li-Yorke and Devaney. Meanwhile, the characteristic function and the basin tree diagram of rule 42 are explored for some finite length of binary strings, which reveal its Bernoulli characteristics. The method presented in this work is also applicable to studying the dynamics of other rules, especially the 112 Bernoulli-shift rules of the elementary cellular automata.