OBJECTIVE:To investigate the effects of Xiaosuanzao decoction on spontaneous motion and sleep time in mice, and to study its disassembled formulation. METHODS:Seven ingredients of Xiaosuanzao decoction were selected as the influential factors, including Ziziphus jujuba, Poria cocos, Ligusticum chuanxiong, Anemarrhena asphodeloides, Glycyrrhiza uralensis, Zingiber officinale and Cortex cinnamoni. Two levels of with or without were designed for each factor,and the experiment was ar-ranged according to L8(27) orthogonal test table. The effects of Xiaosuanzao decoction and each ingredient on spontaneous motion within 2 min and sleep time induced by superthreshold dosage of pentobarbital sodium were compared by visual analysis method and analysis of variance. RESULTS:Z. jujube and A. asphodeloides were the main active ingredients of Xiaosuanzao decoction on spontaneous motion;Z. jujube was the main active ingredient of Xiaosuanzao decoction on sleep time induced by superthreshold dosage of pentobarbital sodium. CONCLUSIONS:Xiaosuanzao decoction can inhibit spontaneous motion and prolong sleep time in-duced by superthreshold dosage of pentobarbital sodium,and Z. jujube is the main ingredient of Xiaosuanzao decoction.

Aim To develop a sensitive, specific and accurate method for the pharmacokinetic study of QO-58 ( a novel M channel opener ) in rats after intragas-tric ( ig) and intravenous ( iv) administration. Meth-ods QO-58 was administered at the doses of 25,50, 100 mg · kg-1 ( ig ) and at single dose of 100 mg · kg-1(iv), respectively. Blood samples were obtained at intervals after each administration. Plasma samples were deproteinized with acetonitrile after addition of in-ternal standard, and detected by RP-HPLC. The main parameters of pharmacokinetics were calculated by DAS2. 1. 1 software. Results The calibration curve in plasma was linear over the range of 0. 1 ~160 mg · L-1 in rat plasma, and the limit of detection ( LOD) was 0. 1 mg · L-1 . The intra-day and inter-day RSD was less than 20%. The recovery of QO-58 in rat plas-ma was 89. 56% ~101. 38%. The concentration-time curves of QO-58 in rat palsma were consistent with the two-compartment model after both oral and intravenous administration. The main pharmacokinetic parameters for QO-58 following oral administration with three doses (25, 50, 100 mg· kg-1 ) in rat were as follows:Cmax (mg·L-1):8.25,16.29,18.27;T12β(h): 8.24, 5. 01, 5. 92; AUC0-∞ ( g · min · L-1 ):261. 94, 189. 57,90. 65. Conclusion The developed method is simple and specific, and is suitable for preclinical pharmacokinetic studies of QO-58 .

AIM:A HPLC linear gradient elution method was studied for determining notoginsenoside R_1 and ginsenoside Rg_1,Rb_1 content in Xinnao guantong Guttate Pill.METHODS:The YMC-Pack ODS-A column was used with a mobile phase of acetonitrile-water 0-15 min(23∶77),16-40 min(50∶50)gradient elution,the wavelength of detecter was set at 203 nm.RESULTS:The linear ranges of R_1,Rg_1,Rb_1 were 0.204-1.836,0.818-7.362,0.858-7.722 ?g,respectively.The average recoveries of R_1,Rg_1,Rb_1 were 97.86%,101.71%,101.44%,respectively.CONCLUSION:The method is rapid,accurate,sensitive and reliable.The results show that method can be used to control quality of products.

OBJECTIVE:To establish the method for the content determination of 4 active components in Compound xiaosuanzao chewable tablets.METHODS:HPLC-ELSD method was adopted.The determination was performed on a Grace Brava C18-BDS column with mobile phase consisted of acetonitrile-water (gradient elution) at the flow rate of 1.0 mL/min.The column temperature was 25 ℃,and sample size was 20 μL.The drift tube temperature is 100 ℃,and the carrier gas flow rate is 2.9 L/min.RESULTS:The linear ranges of betulic acid,betulinol,pachymic acid and glycyrrhizic acid were 44.50-890.0 μg/mL (r=0.999 3),20.28-405.6 μg/mL (r=0.999 7),20.50-656.0 μg/mL(r=0.999 7) and 10.50-336.0 μg/mL(r=0.999 6),respectively.RSDs of precision,stability and reproducibility were all lower than 3.0％.The recoveries were 99.44％-101.12％ (RSD=0.57％,n=6),99.41％-100.39％ (RSD=0.34％,n=6),99.31％-100.46％ (RSD=0.51％,n=6),98.96％-101.19％ (RSD=0.84％,n=6),respectively.CONCLUSIONS:The method is simple,precise,stable and reproducible,and can be used for simultaneous determination of 4 active components in Compound xiaosuanzao chewable tablets.

Objective To identify the differences inneuropsychological characteristics between amnestic(AMCI)and vascular mild cognitive impairment(VMCI).Methods Totally 297 old community residents with mild cognitive impairment(MCI)were divided into amnestic MCI(AMCI)and vascular MCI(VMCI)subgroup from Guangzhou MCI prevalence survey.The elderly with MCI were interviewed and tested with the Chinese version of Montreal Cognitive Assessment(MoCA),the Mini-Mental state examination(MMSE),Auditory Verbal Learning Test(AVLT),the Clinical Dementia Rating scale(CDR),Functional Activity Questionnaire(FAQ),the Modified Hachinski Ischemic Scale(M-HIS),Center for Epidemiologic Studies(CES-DC)to evaluate neuropsychological characteristics.Results AMCI versus VMCI group showed that the total scores of MoCA were(9.63±5.17 vs.9.98±6.02),total scores of MMSE were(16.90±4.84 vs.16.90±6.19),AVLT immediate memory was(2.35±1.39 vs.2.91±1.84),AVLT delayed recall was(2.23±2.09 vs.2.47±2.20),AVLT delayed recognition was(7.33±3.98 vs.6.85±4.02)and total scores of CDR(0.5 vs.0.5),with no differences between the 2 groups(all P>0.05).Based on MoCA survey,AMCI versus VMCI group showed statistically significant differences(all P<0.05)in parameters of visual space and execution(0.71±1.02 vs.0.92±1.26),language function(0.34±0.56 vs.0.50±0.80)and abstract thinking(0.25±0.49 vs.0.15±0.43),but based on MMSE survey,no difference was found in the various cognitive domains between the two groups.The AMCI versus VMCI group showed statistically significant differences(all P<0.05)in parameters of CES-DC scale(1.75±4.27 vs.2.76±6.72),FAQ scale(4.42±4.66 vs.8.71±7.03),M-HIS scale(0.40±0.64 vs.7.59±3.53).Conclusions There is no significant difference in general cognitive impairment between AMCI and VMCI,but the visual space and execution,language function are more impaired in AMCI than VMCI,and the abstract thinking,social function are more impaired with more depressive symptoms in VMCI than in AMCI.

Objective To investigate the difference in behavioral and psychological symptoms among Al-zheimer's disease(AD)patients with different severity of white matter hyperintensity(WMH). Methods A total of 37 AD patients were enrolled and were followed-up for 4 weeks. They were checked by 3.0 T MRI at baseline, including T1,T2-weighted phase and fluid-attenuated inversion recovery sequence(FLAIR phase).The image pro-fessionals analyzed the images and process data.The Fazekas scale was used for WMH rating.Assessment tools in-cluded the Neuropsychiatric Inventory(NPI)、MMSE and ADAS-cog. Results There were 14 patients in none-mild WMH group and 23 patients in moderate-severe WMH group. The age of two groups were 71.3 ± 12.5 and 78.7 ± 6.1 years old respectively(P<0.05).The comparison of NPI,MMSE and ADAS-cog assessment results be-tween two groups show that there is significance difference in NPI baseline scoring and 4-week scoring.The score in moderate-severe group w is higher than that in the none-mild group(P < 0.05). However,the changed value of baseline-4-week NPI is not statistically significant. There is no significant difference between MMSE and ADAS -cog score and changed value.Conclusion Taken together,the severity of WMH may be related to behavioral and psychological symptoms of patients with Alzheimer's disease.

Objective:To investigate the correlation of blood pressure variability within 24 h after thrombolysis with symptomatic intracerebral hemorrhage (sICH) and 90 d outcome in patients with acute ischemic stroke.Methods:Patients with acute ischemic stroke treated with recombinant tissue plasminogen activator in the Department of Neurology, Jinshan Branch, Shanghai Sixth People's Hospital from January 2017 to May 2019 were enrolled prospectively. The baseline data of the patients were collected. The patients were divided into sICH group and non-sICH group according to the changes of head CT and the National Institutes of Health Stroke Scale (NIHSS) score after thrombolysis. At 90 d after thrombolysis, the modified Rankin scale was used to evaluate the outcomes, and the patients were divided into a good outcome group (0-2) and a poor outcome group (3-6). The blood pressure within 24 h after thrombolysis was monitored and the parameters related to blood pressure variability in 5 time periods (0-2 h, 2-6 h, 6-12 h, 12-18 h, and 18-24 h) were calculated, including systolic blood pressure (SBP) and diastolic blood pressure (DBP) maximum (max), minimum (min), maximum and minimum difference (max-min) and mean (mean). The differences between the adjacent blood pressures were calculated, the standard deviation (SD), successive variation (SV), rise successive variability (SVrise), drop successive variability (SVdrop), the maximum squared difference in blood pressure rise (SVrisemax), the maximum squared difference in blood pressure drop (SVdropmax) were calculated and recorded, respectively. Multivariate logistic regression analysis was used to evaluate the effect of various blood pressure variability parameters on sICH and the outcomes after intravenous thrombolysis. Results:A total of 112 patients receiving intravenous thrombolysis were included in the study. Their median age was 71 years (range, 38-92 years), 66 were males (58.9%); median baseline NIHSS score was 10. Seventeen patients (15.2%) developed hemorrhagic transformation, 10 of them (8.9%) were sICH. The 90-d follow-up showed that 73 patients (65.2%) had a good outcome, 39 (34.8%) had a poor outcome and 7 of them (6.3%) died. There were significant differences in hypertension ( P=0.029), ischemic heart disease ( P=0.012), total cholesterol ( P=0.033), baseline NIHSS score ( P=0.003) between the sICH group and the non-sICH group. There were significant differences in age ( P=0.025), gender ( P=0.005), atrial fibrillation ( P=0.003), etiologic classification of stroke ( P=0.003), baseline NIHSS score ( P<0.001) and sICH ( P=0.003) between the poor outcome group and the good outcome group. In addition, there were significant differences in multiple blood pressure variability parameters among the above groups (all P<0.05). Multivariate logistic regression analysis showed that DBP SVdropmax, 6-12 h DBP SV, 12-18 h DBP SV, 6-12 h DBP SVdrop, 12-18 h DBP SVdrop were the independent risk factors for sICH after intravenous thrombolysis (all P<0.05); 2-6 h SBP SV, 2-6 h SBP SVrise, 2-6 h SBP SVdrop, 2-6 h DBP SV, 2-6 h DBP SVrise and 2-6 h DBP SVdrop were the independent risk factors for poor outcome after intravenous thrombolysis (all P<0.05). Conclusions:Early blood pressure and some blood pressure variability parameters are closely related to sICH and outcomes after intravenous thrombolysis in acute ischemic stroke. Closely monitoring of blood pressure and its variability can help clinical management and outcome prediction after intravenous thrombolysis.