Objective To study the effects of traditional Chinese medicine Panax notoginoside(PNS,血塞通) and Tetramethylpyrazine(TMPz,川芎嗪) on different subtypes of cytochrome P450(CYP450),based on that,to forecast the inter-reaction between these two drugs and between each one of them and another drug,and also to estimate the safety assessment of them.Methods The metabolic changes of caffeine and dapsone which are the specific probe drugs for subtypes of CYP450,CYP1A2 and CYP3A4,were studied in vitro to estimate the inhibition or induction effects of PNS and TMPz.Results The concentrations of caffeine and dapsone,the probe drugs in liver cytochrome P450,in control group,PNS group and TMPz group were all declined with time prolongation,and there were no significant differences among the three groups.The half life time(t1/2) of caffeine in PNS group was obviously shorter than that in control group((19.24?2.37) minutes vs.(25.15?2.02) minutes, P0.05).It was suggested that TMPz have no effect on both CYP1A2 and CYP3A4.Conclusion Different drugs have different effects on different CYP450 subtype enzymes.When PNS is used in combination with other drugs which are related to the metabolism of CYP1A2 enzyme,its induction effect on CYP1A2 should be considered fully to avoid toxic effect or the potential adverse reactions.

The basic theory of high power green laser equipment for prostate hyperplasia therapy and the components of the system developed are introduced. Considering the requirements of the clinical therapy, the working process of the high power green laser apparatus are designed and the laser with stable output at 120 W is achieved. The controlling hardware and application software are developed, and the safety step is designed. The high power green laser apparatus manufactured with characteristics of stable output, multifunctional and friendly interface provides a choices of prostate hyperplasia therapy for using nationalization instrument.
Humans ; Laser Therapy ; Lasers ; Male ; Patient Safety ; Prostatic Hyperplasia ; therapy ; Software

Objective:To evaluate the predictive value of anthropometric indicators in predicting cardiovascular risk in the population with metabolic syndrome(MS).Methods:A cross-sectional study was used to analyze the correlation between anthropometric measures and cardiovascular risk in subjects with MS. Cardiometabolic risk was assessed with cardiometabolic risk index(CMRI). Receiver operating characteristic(ROC) curve analysis was used to assess the predictive power of anthropometric measures for cardiometabolic risk.Results:(1) The anthropometric measures [body mass index(BMI), waist-hip ratio(WHR), waist-to-height ratio(WtHR), body fat percentage(BFP), visceral fat index(VFI), conicity index(CI), a body shape index(ABSI), body roundness index(BRI), abdominal volume index(AVI)] in the MS group were significantly higher than those in the non-MS group( P<0.05). Moreover, there were significant differences in CMRI score and vascular risk between the two groups( P<0.05). (2) Logistic regression analysis showed that the cardiovascular risk was increased with the increases of BMI, VFI, WHR, WtHR, CI, BRI, and AVI after adjusting for confounding factors in the overall population, the non-MS population, and the MS population( P<0.05). (3) In the ROC analysis, the AUC values of BMI, VFI, and AVI were 0.767, 0.734, and 0.770 in the overall population; 0.844, 0.816, and 0.795 in the non-MS population; 0.701, 0.666, and 0.702 in the MS population, respectively. For the overall population and non-MS population, the optimal cut points of BMI to diagnose high cardiovascular risk were 26.04 kg/m 2 and 24.36 kg/m 2; the optimal cut points of VFI were 10.25 and 9.75; the optimal cut points of AVI were 17.3 cm 2 and 15.53 cm 2, respectively. In the MS population, the optimal cut point as a predictor of high cardiovascular risk in young and middle-aged men with MS was 27.63 kg/m 2, and the optimal cut point of AVI in women was 18.08 cm 2. Conclusion:BMI, VFI, and AVI can be used as predictors of cardiovascular risk in the general population. BMI can be used as a predicator of high cardiovascular risk in young and middle-age men with MS. AVI can be used as a predicator of high cardiovascular risk in women with MS.