Objective This paper was to study the absorption and metabolism differences of intestine and liver for multicomponent licorice.Methods The components were identified with the UPLC-MS/MS. In situ closed-loop method was used to carry out the comparative experiments of absorption and metabolism differences between intestine and liver.Results 13 components were identified by UPLC-MS/MS. The absorption and metabolism results indicated some components in licorice water extract could be absorbed into blood and metabolism happened during this process. 14 metabolites were detected in the plasma sample. The hepatic metabolism results indicated many components could experience complex metabolism and more metabolites could be generated.Conclusions Liver was the major metabolism organ for licorice water extract and some components could be metabolized along with the absorption process in intestine. The absorption and metabolism differences between intestine and liver were significant.

Objective To optimize the enzymolysis condition for Acaudina leucoprocta to research lencoprocta the antioxidant activity of its hyoholysate in vivo.Method Response surface methodology (RSM) was employed to optimize the hydrolysis conditions with protamex.The ICR mice were given ig the hydrolysate of Acaudina lencoprocta obtained under optimal conditions.The activity of superoxide dismutase (SOD) and glutathione peroxidase (GSH-Px) and the content of MDA in blood serum and liver in mice were analyzed.Results and Conclusion The best hydrolysis conditions were:the amount of enzyme was 2.02%;enzymolysis temperature was 51.18 ℃;enzymolysis time was 127.81min,hydroxyl radical scavenging rate was 73.10%.The activities of SOD,GSH-Px in hydrolysate were significantly enhanced and the content of MDA was significantly lower,which showed that this hydrolysate had remarkable antioxidation activity.So the enzymolysis technology for Acaudina leucoprocta was optimal.

This study was aimed to determine the solubility an d oil-water partition coefficient of main active com-ponents in Ge-Gen Qin-Lian (GGQL) Tablets (puerarin, baicalin and berberine hydrochloride) in phosphate buffer solution of different pH values and under the background of many components. Solubility of puerarin, baicalin and berberine hydrochloride in different medium pH, and oil-water partition coefficient of the octanol-water and oc-tanol-buffer system were determined by HPLC method. The results showed that the solubility and oil-water partition coefficient of puerarin, baicalin and berberine hydrochloride were varied with the change of pH, and varied under the background of components. At pH 7.4, the solubility was the biggest;puerarin was 7.56 mg·mL-1;baicalin was 17.07 mg·mL-1; berberine hydrochloride was 3.57 mg·mL-1. Oil-water partition coefficient P of these components at pH 1.0 was bigger;puerarin was 0.420 (lgP=-0.38);baicalin was 10.783 (lgP=1.03);berberine hydrochloride was 0.267 (lgP=-0.57). It was concluded that lipid solubility of puerarin, baicalin and berberine hydrochloride at pH 1.0 was better. It was speculated that better absorption in the stomach, and low lipid solubility under other pH. It was speculated that lipid solubility may be one of the reasons affecting the intestinal absorption.

Objectives To investigate gestational multiple metabolic abnormalities aggregation and diagnostic criteria for gestational metabolic syndrome(GMS),and to analyze the risk factors of GMS.Methods A cohort study recruiting 309 pregnant women with preeclampsia,627 pregnant women with gestational diabetes mellitus(GDM)and 1245 normal pregnant women was performed from January 2008 to December 2011 in Guangdong Women and Children's Hospital.Information regarding age,gestational weeks,basic blood pressure,admission blood pressure,height and body mass index(BMI)before pregnancy was recorded.Biochemical indicators including fasting plasma glucose(FPG),fasting insulin (FINS),total cholesterol(TC),triglyceride(TG),high density lipoprotein(HDL-C),low density lipoprotein(LDL-C),free fatty acids(FFA)were tested.GMS was diagnosed with three or all of the following conditions:(1)overweight and/or obesity before pregnancy(BMI ≥ 25 kg/m2);(2)hypertension with blood pressure ≥ 140/90 mm Hg(1 mm Hg =0.133 kPa);(3)hyperglycemia:diagnosed as GDM;(4)dyslipidemia with TG≥3.23 mmol/L The incidence of GMS of the three groups were calculated and the risk factors were analyzed.Results(1)The age,gestational weeks,basic blood pressure,admission blood pressure,BMI before pregnancy of women with preeclampsia and women with GDM were significantly different compared to normal women,respectively(P ＜ 0.01).(2)Biochemical indicators of women with preeclampsia were as following:FPG(4.6 ± 1.0)mmol/L,FINS(10.1 ± 5.6)mU/L,TC(6.3 ±1.6)mmol/L,TG(3.9 ± 1.8)mmol/L,HDL-C(1.4 ±0.4)mmol/L,LDL-C(3.0 ± 1.0)mmol/L,FFA (0.8 ±0.4)mmol/L.And those in women with GDM were:FPG(4.7 ± 0.9)mmoL/L,FINS(10.2 ± 5.8)mU/L,TC(5.7 ± 1.3)mmol/L,TG(3.2 ± 1.1)mmol/L,HDL-C(1.4 ± 0.4)mmol/L,LDL-C (2.7 ± 0.9)mmol/L,FFA(0.6 ± 0.3)mmol/L In normal pregnant women they were:FPG(4.3 ±0.5)mmol/L,FINS(9.0±4.4)mU/L,TC(5.7 ±1.1)mmol/L,TG(2.8 ±1.1)mmol/L,HDL-C (1.5 ± 0.4)mmol/L,LDL-C(2.9 ± 0.8)mmol/L,FFA(0.6 ± 0.2)mmol/L Statistic differences were found in preeclampsia and GDM women compared to normal women respectively(P ＜ 0.01).(3)The prevalence of GMS in preeclampsia group and in GDM group was 26.2％(81/309)and 13.6％(85/627),statistically different from that of the control group(0)(P ＜0.01).(4)Compared to normal women,women with preeclampsia had higher risk of developing GMS(OR =1.62,95 ％ CI 1.31-2.00,P ＜ 0.01).The risk factors were BMI(OR =1.29,95％ CI 1.13-1.47)and TG(OR =2.49,95％ CI 1.87-3.31).Also,women with GDM had higher risk of developing GMS than normal women(OR =1.27,95％ CI 1.09-1.49,P ＜ 0.01),and the risk factors were BMI(OR =1.13,95 ％ CI 1.04-1.23)and TG(OR =1.16,95 ％ CI 1.02-1.33).TG was the independent risk factor in both preeclampsia women and GDM women(P ＜ 0.01,P ＜ 0.05).HDL-C seemed to have less importance in identifying GMS(P ＞ 0.05).Conclusions According to the GMS diagnostic criteria used in this study,some preeclampsia patients and some GDM women had aggregation of multiple metabolic abnormalities including pre-pregnancy overweight/obesity,hyperglycemia,high blood pressure and dyslipidemia.TG was the independent risk factor for GMS.HDL-C seemed to have less importance in identifying GMS.