Objective: To study optimum inclusion process conditions for Bencaosuansu. Methods: The study was carried out with orthogonal design. The process conditions were studied by determining the utilization ratio of Bencaosuansu, the oil-bearing rate and extract ratio of inclusion compound. Results: The optimum preparation conditions for inclusion were established as: Bencaosuansu: ?-CD was 1∶12, pH6, the inclusion time was for 5h. The utilization ratio of Bencaosuansu is 94.61 percent. Conclusion: The method can be used for production of ?-CD inclusion compound.

Objective:To explore the abnormalities of efficiency in resting state functional brain network in patients with paranoid schizophrenia and the correlations between efficiencies and clinical symptoms.Methods:A total of 73 patients with schizophrenia (SZ group) met with the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-Ⅳ) criteria for schizophrenia and 70 healthy controls (HC group) were included .All subjects were checked by using functional magnetic resonance imaging (fMRI), and positive and negative syndrome scale(PANSS) were used to assess the symptoms.Abnormalities of global and local efficiency of brain regions in brain functional network were analyzed by graph theory.Pearson correlation was used to analyze the correlation between the abnormal global efficiency and local efficiency of brain regions of SZ group and PANSS.SPSS 20.0 software was used for dependent-sample t-test, ANOVA test and Pearson correlation analysis. Results:Compared with the HC group, SZ group showed increased global efficiency in bilateral thalamus(left: 0.26±0.06, 0.28±0.04, t=2.03, P=0.044.right: 0.26±0.06, 0.28±0.05, t=2.08, P=0.040), right orbital part of middle frontal gyrus(0.21±0.04, 0.23±0.05, t=2.25, P=0.026), cerebellar lobule Ⅸ(0.19±0.06, 0.21±0.05, t=2.56, P=0.011) and vermis Ⅲ(0.15±0.08, 0.19±0.07, t=3.27, P=0.001), while decreased global efficiency in bilateral parahippocampal gyrus(left: 0.25±0.05, 0.22±0.05, t=-3.34, P=0.001.right: 0.27±0.04, 0.23±0.05, t=-4.96, P=0.000), superior occipital gyrus(left: 0.27±0.03, 0.26±0.03, t=-2.70, P=0.008.right: 0.27±0.02, 0.26±0.03, t=-2.73, P=0.007), superior parietal gyrus(left: 0.27±0.03, 0.26±0.05, t=-2.63, P=0.010.right: 0.27±0.03, 0.25±0.05, t=-2.76, P=0.007), paracentral lobule(left: 0.28±0.03, 0.26±0.07, t=-2.47, P=0.015.right: 0.28±0.04, 0.25±0.07, t=-3.06, P=0.003), left precental gyrus(0.28±0.04, 0.27±0.04, t=-1.98, P=0.049), left cuneus(0.26±0.04, 0.25±0.04, t=-2.08, P=0.039), left lingual gyrus(0.29±0.03, 0.28±0.03, t=-2.28, P=0.024), left middle occipital gyrus(0.29±0.03, 0.28±0.03; t=-2.74, P=0.007), left middle temporal gyrus(0.28±0.03, 0.26±0.03, t=-2.73, P=0.007), temporal pole in left middle temporal gyrus(0.20±0.06, 0.18±0.06, t=-2.59, P=0.011) and right hippocampus(0.27±0.04, 0.26±0.06, t=-2.05, P=0.042).Compared with the HC group, SZ group showed increased local efficiency in bilateral caudate nucleus(left: 0.33±0.06, 0.35±0.05, t=2.54, P=0.012.right: 0.33±0.07, 0.35±0.04, t=2.77, P=0.007) and left superior occipital gyrus(0.39±0.03, 0.40±0.02, t=2.17, P=0.031), while decreased local efficiency in bilateral parahippocampal gyrus(left: 0.35±0.04, 0.32±0.07, t=-3.16, P=0.002.right: 0.34±0.04, 0.32±0.07, t=-2.91, P=0.004), left supplementary motor area(0.36±0.02, 0.35±0.05, t=-2.01, P=0.047), left inferior parietal but supramarginal and angular gyrus(0.35±0.03, 0.34±0.05, t=-2.65, P=0.009), left cerebellar crus Ⅱ(0.37±0.03, 0.36±0.04, t=-2.01, P=0.046), lobule ⅦB(0.37±0.03, 0.35±0.07, t=-1.98, P=0.049), right posterior cingulate gyrus(0.36±0.04, 0.34±0.07, t=-2.07, P=0.041), right superior parietal gyrus(0.37±0.03, 0.36±0.05, t=-2.19, P=0.031), right precuneus(0.36±0.02, 0.35±0.04, t=-2.36, P=0.020), right paracentral lobule(0.37±0.02, 0.36±0.06, t=-2.07, P=0.041) and right temporal pole in middle temporal gyrus(0.33±0.08, 0.30±0.09, t=-2.09, P=0.038).The global efficiency of bilateral paracentral lobule and left temporal pole in middle temporal gyrus in SZ group were negatively correlated with the negative scale scores( r=-0.25, -0.25, -0.26, all P<0.05).The global efficiency of right hippocampus in SZ group was positively correlated with total scores of PANSS( r=0.23, P=0.049).The global efficiency of left middle temporal gyrus in SZ group was negatively correlated with total scores of PANSS( r=-0.23, P=0.049).The local efficiency of right paracentral lobule in SZ group was negatively correlated with the positive scale scores( r=-0.24, P=0.038). Conclusion:The brain networks of patients with first-episode paranoid schizophrenia may have regional dysfunction in the transmission efficiency and fault-tolerant ability of resting state brain functional network, and the abnormalities of efficiency may be associated with the severity of psychiatric symptoms in several brain regions.

Objective:To evaluate the relationship between the preoperative neutrophil/lymphocyte ratio(NLR) and postoperative delirium (POD)in elderly patients.Methods:Nine hundred and thirty-seven patients, undergoing elective knee or hip arthroplasty under combined spinal and epidural anesthesia, in whom Mini-Mental State Examination was completed at 1 day before operation, with Mini-Mental State Examination score≥24, were selected. Elbow venous blood samples were collected before surgery, neutrophils and lymphocytes were counted, and the ratio of neutrophils to lymphocytes was calculated.Cerebrospinal fluid (CSF) 2 ml was extracted after successful spinal-epidural puncture for measurement of preoperative amyloid beta40 (Aβ40), amyloid beta42 (Aβ42), total Tau (T-tau), and phosphorylated Tau (P-tau) by enzyme-linked immunosorbent assay. POD was assessed by Confusion Assessment Method, and the severity of POD was assessed by the Memorial Delirium Assessment Scale.The logistic regression equation was used to identify the risk factors for POD, and the mediating effect of CSF biomarkers was analyzed. Sensitivity analysis was used to test the stability of the results. The receiver operating characteristic curve was introduced, and the area under the curve was calculated to evaluate the accuracy of preoperative NLR in predicting POD.Results:A total of 853 patients were finally enrolled in this study, and 17.4% patients developed POD. Logistic regression analysis showed that the increased levels of NLR ( OR 1.141, 95% confidence interval [ CI] 1.033-1.260, P=0.010), P-tau in CSF ( OR 1.093, 95% CI 1.076-1.110, P<0.001) and T-tau in CSF( OR 1.003, 95% CI 1.001-1.005, P<0.001) were risk factors for POD, while the increased level of Aβ42 in CSF( OR 0.998, 95% CI 0.997-1.000, P=0.028) was a protective factor for POD after adjusting for multiple confounding factors. Analysis of mediating effect: T-tau and P-tau in CSF were the mediating factors in the relationship between NLR and POD with the mediating effects of 0.011 9 and 0.020 0 respectively, and the proportion of mediating effect was 46.1% and 53.1% respectively.The receiver operating characteristic curve showed that the area under the curve of NLR and combination of NLR and CSF biomarkers in predicting POD was 0.711 and 0.939 respectively. Conclusions:Increased preoperative NLR level is a risk factor for POD, and combination of NLR and CSF biomarkers shows a higher accuracy in predicting POD. T-tau and P-tau in CSF serve as the key mediators in the relationship between NLR and POD.

Objective Regional homogeneity (ReHo) and functional connectivity (FC) were used to study obsessive-compulsive disorder(OCD),and to explore the mechanism of OCD in resting state.Method Resting-state functional magnetic resonance imaging (RS-fMRI) was performed in 55 patients with OCD (OCD group) and 50 normal controls (control group) matched by sex,age,nationality and education.The data and screening abnormal brain areas were analyzed and compared by DPARSFA2.3 and Rest software in OCD group.Whole brain FC analysis was performed with abnormal brain areas as seed points.Result Compared with the control group,ReHo in right thalamus (MNI:x=9,y=-24,z=6,t=4.3217) and left superior marginal gyrus (MNI:x =-45,y =-30,z =27,t =3.6320) increased and ReHo in right caudate nucleus (MNI:x=3,y=15,z=9,t=-3.1687) decreased in obsessive-compulsive disorder group,and the difference was statistically significant(P＜0.05).Using left superior marginal gyrus,fight thalamus and right caudate nucleus as seed voxels,the whole brain FC analysis showed that there were abnormal functional connections between bilateral cerebellar foot 1/2 area and left supramarginal gyrus,right thalamus and right caudate nucleus (P＜0.05) and the left supramarginal gyrus-bilateral cerebellum feet 1 area-right thalamic circuit and left supramarginal gyrus-bilateral cerebellum feet 1,2-right caudate nucleus-right thalamic circuit existed in 0CD group.Conclusion The left supramarginal gyrus-bilateral cerebellum feet 1 area-right thalamic circuit and left supramarginal gyrus-bilateral cerebellum feet 1,2-right caudate nucleus-right thalamic circuit may play an important role in the mechanism of OCD.

Objective:To evaluate the relationship between preoperative levels of serum uric acid (SUA) and postoperative delirium (POD).Methods:Seven hundred and fifty patients of either sex, aged 50-90 yr, with American Society of Anesthesiologists physical status Ⅰ or Ⅱ, scheduled for elective knee replacement under spinal-epidural anesthesia, were selected.Venous blood samples were collected before anesthesia and levels of SUA were determined by enzyme-coupled assay.L 3-4 was selected as the puncture space, and the cerebrospinal fluid (CSF) specimens were obtained from the subarachnoid space for determination of concentrations of β-amyloid 42, total tau (t-tau) and phosphorylated tau (p-tau) by enzyme-linked immunosorbent assay.The patients were divided into hyperuric acid group (group HS) and non-hyperuric acid group (group NS) according to clinical diagnostic criteria of hyperuricemia, and into POD group (group POD) and non-POD group (group NPOD) according to the occurrence of POD.Logistic regression was used to identify the risk factors for POD.The mediating effect of CSF biomarkers was analyzed.The efficacy of SUA and CSF biomarker concentrations in predicting POD was evaluated using the receiver operating characteristic curve. Results:A total of 699 patients were finally enrolled in the study, and the incidence of POD was 21.5%.The results of logistic regression analysis after adjusting for multiple confounding factors, such as age, sex, years of education, Mini-Mental State Examination score, smoking history, drinking history, hypertension and diabetes history, showed that increased concentrations of SUA and p-tau and t-tau in CSF were risk factors for POD ( P<0.05). The results of mediation analysis showed that the concentrations of p-tau and t-tau in CSF were the mediating factors of the relationship between SUA and POD, with mediating effects of 0.000 301 (95% confidence interval 0-0.000 152) and 0.000 236 (95% confidence interval 0-0.000 092), respectively, and the intermediary proportion were 14.9% and 11.7%, respectively.The area under the receiver operating characteristic curve of SUA in predicting POD was 0.774 ( P<0.05). Conclusions:Increased preoperative SUA is a risk factor for POD, and the accuracy of predicting POD is high, and concentrations of p-tau and t-tau in CSF are mediators of SUA affecting POD.

Objective To investigate the onset of liver inflammation and related predictive factors in patients with HBeAg-positive chronic hepatitis B virus (HBV) infection who have normal alanine aminotransferase (ALT) and a high viral load. Methods A retrospective analysis was performed for the clinical data of 183 patients with HBeAg-positive chronic HBV infection who had normal ALT and a high viral load and were treated from October 2008 to May 2015, and according to the results of liver biopsy, they were divided into hepatitis group and non- hepatitis group. The t -test or Mann-Whitney U testwas used for comparison of normally distributed continuous data between groups, the chi-square test was used for comparison of categorical data. The predictive factors were analyzed by univariate binary logistic regression, the multivariate binary logistic regression was carried out by stepback method, and the cut-off values were analyzed by receiver operating characteristic curve (ROC) and Jordan index. Results There were 37 patients (20.2%) in the hepatitis group and 146 patients (79.8%) in the non-hepatitis group. Compared with the non-hepatitis group, the hepatitis group had a significantly lower proportion of male patients (45.9% vs 68.5%, χ 2 =6.508, P =0.011), a significantly higher level of aspartate aminotransferase [24 (21.25~35.55) U/L vs 21.2 (18.08~ 24.65) U/L, Z =-3.344, P =0.001], and a significantly lower log(HBsAg) value [4.4(4.28~4.49) vs 4.46(4.4~4.74), Z =-2.184, P =0.029]. Log(HBsAg) value was a predictive factor for hepatitis (odds ratio=0.077, P =0.017), and the cutoff value of HBsAg was 33884.4I U/mL. Conclusion Among the patients with HBeAg-positive chronic HBV infection who have normal ALT and a high viral load, 20.2% have liver inflammation, and HBsAg may be a predictive factor for liver inflammation.

Objective To compare clinical and pathological features between autoimmune hepatitis (AIH) patients with positive and negative autoantibodies, and to summarize the experience in diagnosis. Methods A retrospective analysis was performed for the patients who attended Beijing Ditan Hospital from January 2010 to August 2021 and were diagnosed with AIH by liver histopathology, and according to the presence or absence of autoantibodies, they were divided into positive autoantibody group and negative autoantibody group. The two groups were compared in terms of biochemical parameters, immunological features, histopathological features, disease stage, and clinical symptoms and signs. The t -test or the Mann-Whitney U test was used for comparison of continuous data between groups, and the chi-square test or the Fisher's exact test was used for comparison of categorical data. Results A total of 110 patients were enrolled, among whom 78 (71%) had positive autoantibodies and 32 (29%) had negative autoantibodies. Anti-nuclear antibody (ANA), anti-mitochondrial antibody (AMA), and anti-smooth muscle antibody (ASMA) were the main autoantibodies detected, and of all 110 patients, 74 (67.27%) had positive ANA, 1 (0.91%) had positive AMA, 5 (4.55%) had positive ASMA, and 14 (12.73%) had positive anti-Ro-52 antibody. As for clinical and immunological features, compared with the positive autoantibody group, the negative autoantibody group had significantly lower incidence rates of jaundice of the skin and sclera (21.90% vs 50.00%, χ 2 =7.377, P =0.007) and poor appetite (18.80% vs 41.00%, χ 2 =4.979, P =0.026) and significantly lower median levels of direct bilirubin [7.30(4.05~12.10) μmol/L vs 16.80(6.48~69.75) μmol/L, Z =-2.304, P =0.021], IgG [16.40(13.15~18.05) g/L vs 20.30(16.00~27.15) g/L, Z =-2.715, P =0.007], and GLo [30.60(26.00~34.90) g/L vs 37.30(30.50~42.50) g/L, Z =-3.356, P =0.001]. In terms of liver histopathology, compared with the negative autoantibody group, the positive autoantibody group had a significantly higher proportion of patients with lymphocyte infiltration (91.03% vs 68.75%, χ 2 =6.997, P =0.008) and plasma cell infiltration (82.05% vs 50.00%, χ 2 =11.572, P =0.001); compared with the ANA-negative patients, the ANA-positive patients had significantly higher inflammation grade (G1-G4) (9.46%/16.22%/44.59%/29.73% vs 5.56%/27.78%/63.89%/2.78%, Z =-2.179, P =0.029) and fibrosis degree (S1-S4) (37.84%/25.68%/32.43%/4.05% vs 13.89%/41.67%/30.56%/13.89%, Z =-0.082, P =0.037). Conclusion Compared with AIH patients with positive autoantibodies, AIH patients with negative autoantibodies are mostly in the early stage of the disease and tend to have a low level of IgG, with a relatively high rate of missed diagnosis in clinical practice. Early and active liver biopsy is of particular importance.