Object To look for the proprietary constituent and the constituents with blood lipid regulating effect from the dried fruit of Crataegus pinnatifida Bge var major N E Br Methods Various column chromatographic techniques were employed for isolation and purification of the constituents UV, IR, EI MS, FAB MS, 1HNMR, 13 CNMR, HMBC, HMQC and 13 CGATE were used to identify the structure of the isolated constituents Results Six compounds were isolated from the fruit of C pinnatifida They were identified as 5, 7, 4′ trihydroxy flavone 8 C ? L rhamnopyranosyl (1→2) ? D glucopyranoside, i e vitexin rhamnoside (Ⅰ), hyperoside (Ⅱ), citric acid (Ⅲ), vitexin (Ⅳ), quercetin (Ⅴ), ursolic acid (Ⅵ) Conclusion Compound Ⅰ is a proprietary constituent in the fruit of C pinnalifida, which was obtained from this plant for the first time Compound Ⅱ is a main constituent with blood lipid reducing effect in flavonoids

AIM: To analyze the difference of endonuclease domain containing 1 (ENDOD1) expression be-tween benign prostatic hyperplasia ( BPH ) tissues and prostate cancer ( PCa ) tissues and to investigate the effect of ENDOD1 on the biological function of human prostate cancer cells .METHODS: The BPH samples ( n=20 ) and PCa samples (n=21) were processed and analyzed according to the instruction of immunohistochemical (IHC) staining.The mRNA and protein levels of ENDOD 1 in the normal prostate epithelial cells and prostate cancer cells were evaluated by RT -qPCR and Western blot , respectively .The recombinant plasmids pCMV-N-Flag-ENDOD1 was constructed and was trans-fected into the human prostate cancer cells .The proliferation , apoptosis , migration and invasion abilities of the prostate cancer cells were evaluated by MTT assay , flow cytometry, Transwell migration and Matrigel invasion assays , respectively. RESULTS:The analysis of variance of the immunoreactivity score showed that PCa tissues with high Gleason score dis -played significantly lower ENDOD1expression than that with low Gleason score and BPH (P<0.05).The expression of ENDOD1 at mRNA and protein levels in PC3 cells and DU145 cells was significantly lower than that in the LNCap cells (P<0.05).The proliferation of DU145 transfected with ENDOD1 was inhibited.The flow cytometry indicated that ENDOD1 over-expression in the DU145 cells resulted in a notable increase in G0/G1 phase arrest (P<0.05), but the ap-optotic rates showed no statistical difference .The results of Transwell assay showed that migration and invasion abilities of the cells were also inhibited after transfection with over-expressing ENDOD1 plasmid (P<0.05).CONCLUSION: The expression of ENDOD1 significantly decreased in prostate cancer with high Gleaon score .Meanwhile, the ENDOD1 is spe-cifically down-regulated in androgen independent prostate cancer (AIPC) cell lines.Over-expression of ENDOD1 remark-ably inhibits the proliferation , migration and invasion abilities of AIPC .

OBJECTIVETo investigate the effect of electro-acupuncture-anesthesia device (EAAD) as an auxiliary localizing method for brachiplex nerve blocking.

METHODSOne hundred and twenty patients scheduled for operation in upper limbs were randomly divided into group A and group B, 60 in each group. Bupivacaine 25 ml (0.375% in concentration) was used to block intermuscular plexus brachialis in the operation for anesthesia and EAAD was used for adjunctive localizing in group A, while in group B paresthesia elicitation was used.

RESULTSIn group A, the blocking was complete in 56 cases and incomplete in 4, the anesthesia effect was superior to that in group B, complete in 46, incomplete in 9, and of inefficient in 5 (P < 0.01).

CONCLUSIONEAAD provides a localizing method for plexus brachialis blocking more precise than paresthesia elicitation.

Acupuncture Analgesia ; Adolescent ; Adult ; Brachial Plexus ; Electroacupuncture ; Female ; Humans ; Humeral Fractures ; surgery ; Male ; Middle Aged ; Nerve Block ; methods ; Radius Fractures ; surgery ; Ulna Fractures ; surgery

To explore the relationship between blood level of big endothelin and contrast-induced acute kidney injury (CI-AKI) in patients with emergent percutaneous coronary intervention (PCI). Methods: A total of 1061 consecutive patients received emergent PCI in our hospital from 2013-01 to 2015-06 were enrolled. According to blood levels of big endothelin, the patients were divided into 2 groups: Normal big endothelin group, n=236 and Elevated big endothelin group, n=825. The baseline condition, procedural features, occurrence rate of CI-AKI and composite endpoint events at 6 and 12 months post-operation were studied which including nonfatal myocardial infarction, revascularization, stroke and all-cause death. The risk factors for CI-AKI occurrence were identified by Logistic analysis. Results: The overall occurrence rate of CI-AKI was 22.7% (241/1061). Compared with Normal big endothelin group, Elevated big endothelin group had the higher incidence of CI-AKI, increased composite endpoint events at 6 and 12 months post-operation with P=0.041, P=0.040 and P=0.021, respectively. With adjusted covariates, elevated blood level of big endothelin, no matter as a continuous variable or categorical variable had the enhanced risk of CI-AKI incidence in patients after emergent PCI. Conclusion: Elevated blood level of big endothelin may significantly increase the risk of CI-AKI in patients with emergent PCI.

Objective: To investigate the clinical value of Bayesian network in predicting survival of patients with advanced gallbladder cancer(GBC)who underwent curative intent surgery. Methods: The clinical data of patients with advanced GBC who underwent curative intent surgery in 9 institutions from January 2010 to December 2015 were analyzed retrospectively.A median survival time model based on a tree augmented naïve Bayes algorithm was established by Bayesia Lab software.The survival time, number of metastatic lymph nodes(NMLN), T stage, pathological grade, margin, jaundice, liver invasion, age, sex and tumor morphology were included in this model.Confusion matrix, the receiver operating characteristic curve and area under the curve were used to evaluate the accuracy of the model.A priori statistical analysis of these 10 variables and a posterior analysis(survival time as the target variable, the remaining factors as the attribute variables)was performed.The importance rankings of each variable was calculated with the polymorphic Birnbaum importance calculation based on the posterior analysis results.The survival probability forecast table was constructed based on the top 4 prognosis factors. The survival curve was drawn by the Kaplan-Meier method, and differences in survival curves were compared using the Log-rank test. Results: A total of 316 patients were enrolled, including 109 males and 207 females.The ratio of male to female was 1.0∶1.9, the age was (62.0±10.8)years.There was 298 cases(94.3%) R0 resection and 18 cases(5.7%) R1 resection.T staging: 287 cases(90.8%) T3 and 29 cases(9.2%) T4.The median survival time(MST) was 23.77 months, and the 1, 3, 5-year survival rates were 67.4%, 40.8%, 32.0%, respectively.For the Bayesian model, the number of correctly predicted cases was 121(≤23.77 months) and 115(>23.77 months) respectively, leading to a 74.86% accuracy of this model.The prior probability of survival time was 0.503 2(≤23.77 months) and 0.496 8(>23.77 months), the importance ranking showed that NMLN(0.366 6), margin(0.350 1), T stage(0.319 2) and pathological grade(0.258 9) were the top 4 prognosis factors influencing the postoperative MST.These four factors were taken as observation variables to get the probability of patients in different survival periods.Basing on these results, a survival prediction score system including NMLN, margin, T stage and pathological grade was designed, the median survival time(month) of 4-9 points were 66.8, 42.4, 26.0, 9.0, 7.5 and 2.3, respectively, there was a statistically significant difference in the different points(P<0.01). Conclusions The survival prediction model of GBC based on Bayesian network has high accuracy.NMLN, margin, T staging and pathological grade are the top 4 risk factors affecting the survival of patients with advanced GBC who underwent curative resection.The survival prediction score system based on these four factors could be used to predict the survival and to guide the decision making of patients with advanced GBC.

Objective To explore the association between the ABO blood group and the risk of myocardial infarction in Chinese people.Methods We retrospectively recruited 1 988 consecutive patients with acute myocardial infarction (AMI) and 1 856 non-coronary artery disease (non-CAD) subjects who hospitalized in our hospital between January 2013 and December 2013.The clinical features and ABO blood group were analyzed.Results Blood group distribution was A (27.1％,539/1 988),B (34.4％,684/1 988),AB(10.8％,215/1 988),O (27.7％,551/1 988) in patients with AMI and A (26.7％,496/1 856),B(32.2％,598/1 856),AB (10.8％,200/1 856),O (30.4％,564/1 856) in non-CAD group.The single factor analysis showed that blood group O tended to be more common in the non-CAD group than in AMI group (P =0.06).After adjustment for common cardiovascular risk factors such as age,gender,hypertension,diabetes,smoking and serum cholesterol level,the A,B,and AB blood groups were associated with increased risk of AMI compared with O blood group,and the difference was significant with A blood group (OR =1.229,95％ CI 1.019-1.482,P =0.031) and B blood groups (OR =1.214,95％ CI 1.017-1.449,P =0.032).In addition,non-O blood group remained significantly associated with the increased risk of AMI than O blood group after logistic regression analysis(OR =1.223,95％ CI 1.048-1.426,P =0.01).Conclusion Our results suggest that non-O blood group is associated with the increased risk of AMI.

Objective:To examine the role of the number of lymph nodes examined(NLNE) on the prognosis of patients with curatively resected gallbladder carcinoma(GBC).Methods:The clinicopathological data and prognosis of 401 patients with GBC who underwent radical surgery from six institutions of China from January 2013 to December 2017 were analyzed retrospectively. There were 153 males(38.2%) and 248 females(61.8%), with age of (62.0±10.5) years (range: 30-88 years). Fifty-three patients(22.2%) were accompanied by jaundice. All patients underwent radical resection+regional lymphadenectomy.R0 or R1 resection was confirmed by postoperative pathological examination.The different cut-off values of NLNE were determined by the X-tile software, the optimal cut-off values were identified by analyzing the relationship between different cut-off values of NLNE with survival rate. Kaplan-Meier method was used for survival analysis. Univariate and multivariate analysis were implemented respectively using the Log-rank test and Cox proportional hazard model.Results:Among the 401 patients enrolled, 135 cases (33.6%) had lymphatic metastasis, of which 98 cases were in N1 stage(24.4%) and 37 cases were in N2 stage(9.2%).A total of 2 794 NLNE were retrieved, with a median count of 6 (5).The median positive lymph nodes count was 0 (1), and the median positive lymph nodes ratio was 0 (IQR, 0-0.2). Since the 12 and 15 were determined as the cut-off values by X-tile, all patients were divided into three groups of 1-11, 12-15 and ≥16.The 3-year survival rate of the three groups was 45.2%, 74.5%, 12.0% respectively, with statistically significant difference between three groups (χ 2=10.94, P<0.01). The results of multivariate analysis showed that NLNE was an independent prognostic factor for overall survival ( P<0.05). Further analysis was performed specifically for subgroup of T stages. For T1b patients, the prognosis of the NLNE with 1-7 group was significantly better than that of the ≥8 group(χ 2=4.610, P<0.05). For T2 patients, the prognosis of the TLNE ≥7 group was significantly better than that of 1 -6 group (χ 2=4.287, P<0.05). For T3 and T4 patients, the prognosis of the TLNE with 12 - 15 group was significantly better than that of 1 -11 group (χ 2=5.007, P<0.01) and ≥16 group (χ 2=10.158, P<0.01). Conclusions:The NLNE is an independent factor affecting the prognosis of patients with GBC.For patients with stage T1b,8 lymph nodes should be retrieved; for patients with stage T2,extensive dissection of more than 6 lymph nodes can significantly improve the prognosis.For advanced patients (stages T3 and T4), extensive dissection with 12-15 lymph nodes is recommended. However, it fails to get more survival benefits by dissecting more than 16 lymph nodes.

Objective:To examine a survival prognostic model applicable for patients with intrahepatic cholangiocarcinoma (ICC) based on Bayesian network.Methods:The clinical and pathological data of ICC patients who underwent curative intent resection in ten Chinese hepatobiliary surgery centers from January 2010 to December 2018 were collected.A total of 516 patients were included in the study. There were 266 males and 250 females.The median age( M( Q R)) was 58(14) years.One hundred and sixteen cases (22.5%) with intrahepatic bile duct stones,and 143 cases (27.7%) with chronic viral hepatitis.The Kaplan-Meier method was used for survival analysis.The univariate and multivariate analysis were implemented respectively using the Log-rank test and Cox proportional hazard model.One-year survival prediction models based on tree augmented naive Bayesian (TAN) and na?ve Bayesian algorithm were established by Bayesialab software according to different variables,a nomogram model was also developed based on the independent predictors.The receiver operating characteristic curve and the area under curve (AUC) were used to evaluate the prediction effect of the models. Results:The overall median survival time was 25.0 months,and the 1-,3-and 5-year cumulative survival rates was 76.6%,37.9%,and 21.0%,respectively.Univariate analysis showed that gender,preoperative jaundice,pathological differentiation,vascular invasion,microvascular invasion,liver capsule invasion,T staging,N staging,margin,intrahepatic bile duct stones,carcinoembryonic antigen,and CA19-9 affected the prognosis(χ 2=5.858-54.974, all P<0.05).The Cox multivariate model showed that gender,pathological differentiation,liver capsule invasion, T stage,N stage,intrahepatic bile duct stones,and CA19-9 were the independent predictive factors(all P<0.05). The AUC of the TAN model based on all 19 clinicopathological factors was 74.5%,and the AUC of the TAN model based on the 12 prognostic factors derived from univariate analysis was 74.0%,the AUC of the na?ve Bayesian model based on 7 independent prognostic risk factors was 79.5%,the AUC and C-index of the nomogram survival prediction model based on 7 independent prognostic risk factors were 78.8% and 0.73,respectively. Conclusion:The Bayesian network model may provide a relatively accurate prognostic prediction for ICC patients after curative intent resection and performed superior to the nomogram model.

Objective:To examine the role of the number of lymph nodes examined(NLNE) on the prognosis of patients with curatively resected gallbladder carcinoma(GBC).Methods:The clinicopathological data and prognosis of 401 patients with GBC who underwent radical surgery from six institutions of China from January 2013 to December 2017 were analyzed retrospectively. There were 153 males(38.2%) and 248 females(61.8%), with age of (62.0±10.5) years (range: 30-88 years). Fifty-three patients(22.2%) were accompanied by jaundice. All patients underwent radical resection+regional lymphadenectomy.R0 or R1 resection was confirmed by postoperative pathological examination.The different cut-off values of NLNE were determined by the X-tile software, the optimal cut-off values were identified by analyzing the relationship between different cut-off values of NLNE with survival rate. Kaplan-Meier method was used for survival analysis. Univariate and multivariate analysis were implemented respectively using the Log-rank test and Cox proportional hazard model.Results:Among the 401 patients enrolled, 135 cases (33.6%) had lymphatic metastasis, of which 98 cases were in N1 stage(24.4%) and 37 cases were in N2 stage(9.2%).A total of 2 794 NLNE were retrieved, with a median count of 6 (5).The median positive lymph nodes count was 0 (1), and the median positive lymph nodes ratio was 0 (IQR, 0-0.2). Since the 12 and 15 were determined as the cut-off values by X-tile, all patients were divided into three groups of 1-11, 12-15 and ≥16.The 3-year survival rate of the three groups was 45.2%, 74.5%, 12.0% respectively, with statistically significant difference between three groups (χ 2=10.94, P<0.01). The results of multivariate analysis showed that NLNE was an independent prognostic factor for overall survival ( P<0.05). Further analysis was performed specifically for subgroup of T stages. For T1b patients, the prognosis of the NLNE with 1-7 group was significantly better than that of the ≥8 group(χ 2=4.610, P<0.05). For T2 patients, the prognosis of the TLNE ≥7 group was significantly better than that of 1 -6 group (χ 2=4.287, P<0.05). For T3 and T4 patients, the prognosis of the TLNE with 12 - 15 group was significantly better than that of 1 -11 group (χ 2=5.007, P<0.01) and ≥16 group (χ 2=10.158, P<0.01). Conclusions:The NLNE is an independent factor affecting the prognosis of patients with GBC.For patients with stage T1b,8 lymph nodes should be retrieved; for patients with stage T2,extensive dissection of more than 6 lymph nodes can significantly improve the prognosis.For advanced patients (stages T3 and T4), extensive dissection with 12-15 lymph nodes is recommended. However, it fails to get more survival benefits by dissecting more than 16 lymph nodes.

Objective:To examine a survival prognostic model applicable for patients with intrahepatic cholangiocarcinoma (ICC) based on Bayesian network.Methods:The clinical and pathological data of ICC patients who underwent curative intent resection in ten Chinese hepatobiliary surgery centers from January 2010 to December 2018 were collected.A total of 516 patients were included in the study. There were 266 males and 250 females.The median age( M( Q R)) was 58(14) years.One hundred and sixteen cases (22.5%) with intrahepatic bile duct stones,and 143 cases (27.7%) with chronic viral hepatitis.The Kaplan-Meier method was used for survival analysis.The univariate and multivariate analysis were implemented respectively using the Log-rank test and Cox proportional hazard model.One-year survival prediction models based on tree augmented naive Bayesian (TAN) and na?ve Bayesian algorithm were established by Bayesialab software according to different variables,a nomogram model was also developed based on the independent predictors.The receiver operating characteristic curve and the area under curve (AUC) were used to evaluate the prediction effect of the models. Results:The overall median survival time was 25.0 months,and the 1-,3-and 5-year cumulative survival rates was 76.6%,37.9%,and 21.0%,respectively.Univariate analysis showed that gender,preoperative jaundice,pathological differentiation,vascular invasion,microvascular invasion,liver capsule invasion,T staging,N staging,margin,intrahepatic bile duct stones,carcinoembryonic antigen,and CA19-9 affected the prognosis(χ 2=5.858-54.974, all P<0.05).The Cox multivariate model showed that gender,pathological differentiation,liver capsule invasion, T stage,N stage,intrahepatic bile duct stones,and CA19-9 were the independent predictive factors(all P<0.05). The AUC of the TAN model based on all 19 clinicopathological factors was 74.5%,and the AUC of the TAN model based on the 12 prognostic factors derived from univariate analysis was 74.0%,the AUC of the na?ve Bayesian model based on 7 independent prognostic risk factors was 79.5%,the AUC and C-index of the nomogram survival prediction model based on 7 independent prognostic risk factors were 78.8% and 0.73,respectively. Conclusion:The Bayesian network model may provide a relatively accurate prognostic prediction for ICC patients after curative intent resection and performed superior to the nomogram model.