ObjectiveTo explore the potential mechanism of Xianglian Huazhuo prescription （XLHZ） in treating chronic atrophic gastritis （CAG） by regulating cell cycle and inhibiting proliferation， using bioinformatics technology and animal experiments. MethodsDifferential expressed genes （DEGs） related to CAG were screened using GEO database and GEO2R tool. Weighted gene co-expression network analysis （WGCNA） was employed to search for hub genes of CAG. These hub genes were intersected with cell cycle proliferation based on GeneCards database. Eenrichment analysis of the intersecting genes was performed to obtain signaling pathways and biological processes related to CAG. Protein protein interaction （PPI） analysis of genes was conducted using the Protein Interaction Platform （STRING） database to search the super hub gene （hub 2.0）， and animal experiments were conducted for further validation. Fourteen of 70 male Wistar rats were randomly selected as the normal group， and the remaining 56 rats were prepared by the combined modeling method of "starvation disorder+N-methyl-N-nitro-N-nitrosoguanidine （MNNG） + sodium salicylate". The successfully modeled rats were randomly divided into the model group， XLHZ-H， XLHZ-M， and XLHZ-L groups （36， 18， 9 g·kg^-1， respectively）， and Morodan group （1.4 g·kg^-1）. Each group was given corresponding intervention for 60 days. Hematoxylin-eosin （HE） staining was used to observe the histopathological changes of gastric mucosa in rats. The ultrastructure of gastric mucosal tissue cells was observed by transmission electron microscopy. The relative expression levels of TGF-β₁， Smad2 and Smad3 proteins， S/G₂/M phase marker geminin and proliferation marker MCM2 were detected by Western blot in gastric mucosal tissue， and Spearman correlation analysis was performed. ResultsA total of 15 hub 2.0 genes were identified， including TGF-β₁， suggesting the involvement of the TGF-β₁ signaling pathway in the CAG pathogenesis. Compared with the normal group， the expressions of TGF-β₁， Smad2， geminin and MCM2 proteins in the gastric mucosa tissue of the model group were increased （P<0.05）， and the expression of Smad3 protein was decreased （P<0.05）. Compared with the model group， the expressions of TGF-β₁ and geminin in the gastric mucosa were decreased in the drug groups （P<0.05）. The XLHZ-M group， XLHZ-H group and Morodan group had significantly decreased protein expression of Smad2 and MCM2 （P<0.05）. The protein expression of Smad3 was significantly increased in XLHZ-M， XLHZ-H， and Morodan groups （P<0.05）. Spearman correlation analysis showed that Smad3 was negatively correlated with other indicators， and positively correlated with other indicators （P<0.01）. ConclusionXLHZ may inhibit TGF-β₁/Smads signaling pathway， regulate cell cycle， and inhibit proliferation in the treatment of CAG.

ObjectiveTo explore the potential mechanism of Xianglian Huazhuo prescription （XLHZ） in treating chronic atrophic gastritis （CAG） by regulating cell cycle and inhibiting proliferation， using bioinformatics technology and animal experiments. MethodsDifferential expressed genes （DEGs） related to CAG were screened using GEO database and GEO2R tool. Weighted gene co-expression network analysis （WGCNA） was employed to search for hub genes of CAG. These hub genes were intersected with cell cycle proliferation based on GeneCards database. Eenrichment analysis of the intersecting genes was performed to obtain signaling pathways and biological processes related to CAG. Protein protein interaction （PPI） analysis of genes was conducted using the Protein Interaction Platform （STRING） database to search the super hub gene （hub 2.0）， and animal experiments were conducted for further validation. Fourteen of 70 male Wistar rats were randomly selected as the normal group， and the remaining 56 rats were prepared by the combined modeling method of "starvation disorder+N-methyl-N-nitro-N-nitrosoguanidine （MNNG） + sodium salicylate". The successfully modeled rats were randomly divided into the model group， XLHZ-H， XLHZ-M， and XLHZ-L groups （36， 18， 9 g·kg^-1， respectively）， and Morodan group （1.4 g·kg^-1）. Each group was given corresponding intervention for 60 days. Hematoxylin-eosin （HE） staining was used to observe the histopathological changes of gastric mucosa in rats. The ultrastructure of gastric mucosal tissue cells was observed by transmission electron microscopy. The relative expression levels of TGF-β₁， Smad2 and Smad3 proteins， S/G₂/M phase marker geminin and proliferation marker MCM2 were detected by Western blot in gastric mucosal tissue， and Spearman correlation analysis was performed. ResultsA total of 15 hub 2.0 genes were identified， including TGF-β₁， suggesting the involvement of the TGF-β₁ signaling pathway in the CAG pathogenesis. Compared with the normal group， the expressions of TGF-β₁， Smad2， geminin and MCM2 proteins in the gastric mucosa tissue of the model group were increased （P<0.05）， and the expression of Smad3 protein was decreased （P<0.05）. Compared with the model group， the expressions of TGF-β₁ and geminin in the gastric mucosa were decreased in the drug groups （P<0.05）. The XLHZ-M group， XLHZ-H group and Morodan group had significantly decreased protein expression of Smad2 and MCM2 （P<0.05）. The protein expression of Smad3 was significantly increased in XLHZ-M， XLHZ-H， and Morodan groups （P<0.05）. Spearman correlation analysis showed that Smad3 was negatively correlated with other indicators， and positively correlated with other indicators （P<0.01）. ConclusionXLHZ may inhibit TGF-β₁/Smads signaling pathway， regulate cell cycle， and inhibit proliferation in the treatment of CAG.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

Objective To analyze the influencing factors of poor incision healing in postoperative patients with breast cancer.Methods The clinical data of 150 patients with breast cancer diagnosed by the Department of Nail Milk surgery of the Fifth affiliated Hospital of Xinjiang Medical University from January 2016 to December 2023 were retrospectively analyzed.According to the postoperative wound healing,the patients were divided into two groups:good healing group(n=94)and poor healing group(n=56).The general data,operation-related data and clinicopathological characteristics of the two groups were collected for univariate analysis,and the single-factor indexes with statistical significance were analyzed by multivariate Logistic analysis to screen the risk factors of poor incision healing after operation.The statistically significant indexes of regression analysis were analyzed by receiver operating characteristic(ROC)curve to further explore its predictive value in poor incision healing after breast cancer operation.Results The data of the two groups were compared and analyzed.Multivariate Logistic regression analysis showed that BMI,diabetes,age,axillary lymph node dissection and hemoglobin were independent risk factors for poor incision healing(P＜0.05).ROC curve analysis of independent risk factors showed that when the age was more than 57.5,the area under the curve(AUC)was 0.635,the sensitivity was 55.4％,the specificity was 68.1％,and the critical value was 57.5.When BMI＞24.9 kg/m2,the area under the curve(AUC)was 0.735,the sensitivity was 87.5％,the specificity was 61.7％,and the critical value was 24.9(P＜0.001).When hemoglobin＜101.5 g/L,the area under the curve(AUC)was 0.829,the sensitivity was 57.1％,the specificity was 94.7％,and the critical value was 101.5 g/L(P＜0.001).Conclusion BMI,diabetes,hemoglobin,age and axillary lymph node dissection are independent risk factors for poor wound healing after breast cancer operation.When BMI＞24.9 kg/m2,age＞57.5 years old and hemoglobin＜101.5 g/L,it can predict the occurrence of poor incision healing in patients with breast cancer.

Objective To assess the therapeutic effect of acupuncture in depressive disorders based on current randomized controlled trials(RCTs).Method RCTs on acupuncture interventions for primary depression by searching databases including CNKI,Wanfang,VIP,Sinomed,PubMed,and Embase.Two researchers independently assessed the quality of the literature,extracted data according to the latest Cochrane Handbook for Systematic Reviews of Interventions,and cross-checked the data.Meta-analysis was performed using RevMan 5.4 software.Result A total of 52 studies were included,comprising 5277 patients.The meta-analysis results showed that acupuncture significantly improved depression symptoms as measured by the Hamilton Depression Rating Scale(HAMD)and reduced clinical inefficacy rates{HAMD-17:WMD=-2.35,95%CI[-3.04,-1.67],P<0.000 01;HAMD-24:WMD=-2.77,95%CI[-3.52,-2.03],P<0.000 01;HAMD(unspecified scale):WMD=-2.77,95%CI[-3.52,-2.03],P<0.000 01;Clinical inefficacy:RR=0.39,95%CI[0.33,0.47],P<0.000 01}.Additionally,acupuncture increased 5-HT levels(SMD=1.11,95%CI[0.67,1.55],P<0.000 01).In terms of safety,acupuncture did not increase the incidence of adverse events and reduced TESS scores{Adverse event incidence:RR=0.65,95%CI[0.47,0.89],P=0.007;TESS scores:WMD=-1.66,95%CI[-3.12,-0.20],P=0.03}.There is potential publication bias regarding clinical inefficacy and adverse events,necessitating cautious interpretation.Conclusion Based on the current evidence,acupuncture is an effective and safe treatment for depressive disorders.However,more high-quality RCTs are needed to further validate or refine these conclusions.

Objective To investigate the effects of blade outlet angle,impeller channel slope and impeller draft angle on hemolytic performance and hydraulic performance in a magnetically levitated centrifugal blood pump using computational fluid dynamics,aiming to optimize these parameters for improving blood compatibility.Methods Numerical simulations of a magnetically levitated centrifugal blood pump were performed using Fluent to calculate the shear stress and head on blood cells during blood pump flow and to predict the hemolytic performance of the centrifugal blood pump.Results With the increase of the blade outlet angle to 60°,the percentage of the low shear stress from 0 to 150 Pa increased to 98.9%,and the percentage of the shear stress from 150 to 300 Pa decreased to 0.6%.The maximum reduction of hemolysis index of the blood pump was 28.89%with different combinations of the impeller channel slope and the impeller draft angle.Conclusion The increase of the blade outlet angle will effectively improve the shear stress distribution in the pump,thus reducing the hemolysis index.Comparing the positive effects of impeller draft angle and channel slope on the blood pump,the optimization of the channel slope can be prioritized.

Objective To assess the therapeutic effect of acupuncture in depressive disorders based on current randomized controlled trials(RCTs).Method RCTs on acupuncture interventions for primary depression by searching databases including CNKI,Wanfang,VIP,Sinomed,PubMed,and Embase.Two researchers independently assessed the quality of the literature,extracted data according to the latest Cochrane Handbook for Systematic Reviews of Interventions,and cross-checked the data.Meta-analysis was performed using RevMan 5.4 software.Result A total of 52 studies were included,comprising 5277 patients.The meta-analysis results showed that acupuncture significantly improved depression symptoms as measured by the Hamilton Depression Rating Scale(HAMD)and reduced clinical inefficacy rates{HAMD-17:WMD=-2.35,95%CI[-3.04,-1.67],P<0.000 01;HAMD-24:WMD=-2.77,95%CI[-3.52,-2.03],P<0.000 01;HAMD(unspecified scale):WMD=-2.77,95%CI[-3.52,-2.03],P<0.000 01;Clinical inefficacy:RR=0.39,95%CI[0.33,0.47],P<0.000 01}.Additionally,acupuncture increased 5-HT levels(SMD=1.11,95%CI[0.67,1.55],P<0.000 01).In terms of safety,acupuncture did not increase the incidence of adverse events and reduced TESS scores{Adverse event incidence:RR=0.65,95%CI[0.47,0.89],P=0.007;TESS scores:WMD=-1.66,95%CI[-3.12,-0.20],P=0.03}.There is potential publication bias regarding clinical inefficacy and adverse events,necessitating cautious interpretation.Conclusion Based on the current evidence,acupuncture is an effective and safe treatment for depressive disorders.However,more high-quality RCTs are needed to further validate or refine these conclusions.

Objective To investigate the effects of blade outlet angle,impeller channel slope and impeller draft angle on hemolytic performance and hydraulic performance in a magnetically levitated centrifugal blood pump using computational fluid dynamics,aiming to optimize these parameters for improving blood compatibility.Methods Numerical simulations of a magnetically levitated centrifugal blood pump were performed using Fluent to calculate the shear stress and head on blood cells during blood pump flow and to predict the hemolytic performance of the centrifugal blood pump.Results With the increase of the blade outlet angle to 60°,the percentage of the low shear stress from 0 to 150 Pa increased to 98.9%,and the percentage of the shear stress from 150 to 300 Pa decreased to 0.6%.The maximum reduction of hemolysis index of the blood pump was 28.89%with different combinations of the impeller channel slope and the impeller draft angle.Conclusion The increase of the blade outlet angle will effectively improve the shear stress distribution in the pump,thus reducing the hemolysis index.Comparing the positive effects of impeller draft angle and channel slope on the blood pump,the optimization of the channel slope can be prioritized.

Objective To analyze the influencing factors of poor incision healing in postoperative patients with breast cancer.Methods The clinical data of 150 patients with breast cancer diagnosed by the Department of Nail Milk surgery of the Fifth affiliated Hospital of Xinjiang Medical University from January 2016 to December 2023 were retrospectively analyzed.According to the postoperative wound healing,the patients were divided into two groups:good healing group(n=94)and poor healing group(n=56).The general data,operation-related data and clinicopathological characteristics of the two groups were collected for univariate analysis,and the single-factor indexes with statistical significance were analyzed by multivariate Logistic analysis to screen the risk factors of poor incision healing after operation.The statistically significant indexes of regression analysis were analyzed by receiver operating characteristic(ROC)curve to further explore its predictive value in poor incision healing after breast cancer operation.Results The data of the two groups were compared and analyzed.Multivariate Logistic regression analysis showed that BMI,diabetes,age,axillary lymph node dissection and hemoglobin were independent risk factors for poor incision healing(P＜0.05).ROC curve analysis of independent risk factors showed that when the age was more than 57.5,the area under the curve(AUC)was 0.635,the sensitivity was 55.4％,the specificity was 68.1％,and the critical value was 57.5.When BMI＞24.9 kg/m2,the area under the curve(AUC)was 0.735,the sensitivity was 87.5％,the specificity was 61.7％,and the critical value was 24.9(P＜0.001).When hemoglobin＜101.5 g/L,the area under the curve(AUC)was 0.829,the sensitivity was 57.1％,the specificity was 94.7％,and the critical value was 101.5 g/L(P＜0.001).Conclusion BMI,diabetes,hemoglobin,age and axillary lymph node dissection are independent risk factors for poor wound healing after breast cancer operation.When BMI＞24.9 kg/m2,age＞57.5 years old and hemoglobin＜101.5 g/L,it can predict the occurrence of poor incision healing in patients with breast cancer.