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ObjectiveTo study the neuron protection mechanism of Uncariae Ramulus Cum Uncis extract for the MPTP-induced PD mice.MethodsC57BL/6 mice were randomly divided into control group, model group, Uncariae Ramulus Cum Uncis extract group and madopar group, and injected with MPTP in abdominal cavity. Behavior test was used to detect grabbing capacity and body movement coordination capacity: three biochemical indexes (SOD, MDA, GSH-Px) were detected by biochemical process and the activity of two immune enzyme-linked indexes (IL-1β, IL-6) were detected by enzymelinked immunosorbent assay.ResultsCompared with the control group, the autonomic activity numbers of mice increased and climbing pole time decreased in the model group (P<0.05), enzymatic activity of SOD and GSH-Px decreased significantly and the contents of MDA, IL-1β and IL-6 increased obviously (P<0.01). Compared with model group, the autonomic activity numbers of mice increased and climbing pole time decreased in the Uncariae Ramulus Cum Uncis extract group and madopar group (P<0.05). Enzymatic activity of SOD and GSH-Px increased and the contents of MDA and IL-1β and IL-6 decreased (P<0.05,P<0.01).ConclusionUncariae Ramulus Cum Uncis extract can reduce neuronic apoptosis PD mice, whose therapeutic action may be realized through eliminating oxygen free radicals, improving oxidation resistance and reducing inflammatory reactions.
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Objective To optimize the prescription ofBaichanting Tablets by the central composite design-response surface methodology.Methods The doses of MCC, cCMC-Na, SiO2, and magnesium stearate were set as investigation factors; disintegration time and moisture rate were set as indexes. Linear equation quadratic polynomial described mathematic relationship of disintegration time and moisture rate with other four influence factors. Response surface was described according to the optimal mathematic models; the optimal prescription was chosen; predictive analysis was conducted.ResultsThe relationship of disintegration time and moisture rate with other four influence factors could not be described by linear equation. When quadratic polynomial matching was used, correlation coefficients were 0.837 9 and 0.923 1, with relatively high reliability. Optimal prescription contained 30.6%MCC, 10%cCMC-Na, 0.30%SiO2, and 0.10% magnesium stearate. The theoretical value and predicted value deviations of the disintegration time limit and moisture absorption rate were within 5%.Conclusion The predictability of the established model is good. Application of central composite design-response surface methodology can precisely optimize the prescription ofBaichanting Tablets.