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 understand mosquito density, species composition, and seasonal variations around the Beijing Capital International Airport(BCIA)and provide scientific evidence for mosquito-borne disease prevention and control. Methods Meteorological data were collected from 2016 to 2022, and mosquito density was monitored at seven surveillance sites around the BCIA from May to October each year using CO2-baited mosquito traps to analyze the relationship between mosquito density and meteorological factors. Results In total,68 518 female mosquitoes were captured, with a mosquito density of 10.20 per light · hour. The dominant species was Culex pipiens pallens(73.90%), followed by Aedes albopictus(9.71%)and Ae. vexans(9.29%);the mosquito density was highest in 2016(14.8 per light·hour)and lowest in 2022(4.46 per light·hour). Significant statistical differences were observed in mosquito density among different species(F=18.118, P<0.05). The density of Cx. pipiens pallens and other mosquito species showed a mutually exclusive trend; the peak of mosquito density varied based on years and habitats, with significant statistical differences in mosquito density among different habitats(F=8.504, P<0.05). The highest mosquito density was observed near the Wenyu River(21.50 per light·hour), whereas the lowest was recorded at the BCIA construction site(2.44 per light· hour). The monthly average temperature(r=0.595), monthly average highest temperature(r=0.575), and monthly average lowest temperature(r=0.624)showed moderate positive correlations, whereas the monthly average air pressure(r=-0.484)showed a moderate negative correlation. The monthly average minimum temperature was included in the regression model(F=25.575, P<0.000), and the equation Y=1.029X4-8.181 was used. The monthly average air pressure 2 months prior(b=-2.418, β=-1.619, P<0.05)and the monthly average relative humidity(b=-0.739, β=-1.201, P<0.05)significantly negatively predicted the mosquito density. Notably, the regression equation used was y=2526.170+(-2.418)X9+(-0.739)X13. The exposure-response analysis revealed that the density of mosquitoes was not linearly related to the average monthly air pressure, rainfall, and duration of sunshine. Conclusions The dominant mosquito species around the BCIA was Cx. pipiens pallens, Ae. albopictus, and Ae. vexans. During the control of Cx. pipiens pallens, the impact on other mosquito species must also be considered. Environmental management, breeding sites, and scientific use of pesticides should be prioritized based on the activity periods of mosquitoes. Further studies on mosquitoes and meteorological factors should be conducted to provide references and novel avenues for mosquito control.

Objective:To explore the influence of injection methods of different contrast agents on CMR image quality,and further optimize"one-stop"examination process under the premise of the analysis for high-pressure bolus pressure curve of contrast-enhanced(CE)cardiac magnetic resonance(CMR).Methods:The data of CMR examination of 70 patients with old myocardial infarction who admitted to the department of emergency of Xuanwu Hospital,Capital Medical University from December 2023 to December 2024 were selected as research objects.They were divided into an observation group and a control group by a simple randomization method,with 35 cases in each group.The observation group adopted gadolinium contrast agent injection with double-phase double-flow,with two bolus injections at 4 ml/s and 2 ml/s sequentially.The control group adopted the injection with single-phase double-flow,with only one bolus injection at 4 ml/s.The dynamic pressure time curve was drawn,and the total bolus dose and pressure peak of two kinds of injection methods were compared.The residual liquid samples of the observation group and the control group were collected after injection of contrast agent was conducted.After the residual liquids of 10 ml,20 ml and 30 ml were derived respectively,the T1 mapping sequence was used to collect signal intensity values,and to compared the difference of that between two groups.The signal-to-noise ratio(SNR)of left ventricular blood pool,infarcted myocardium and distal myocardium,and the contrast-to-noise ratios(CNR)between infarcted myocardium and blood pool,and between distal myocardium and blood pool were compared between the observation group and the control group.Results:There was no statistical difference in the total dose of bolus injection between the observation group and the control group(P>0.05).The peak value of the pressure of bolus injection in the observation group and control group were respectively(87.4±11.3)pound force per square inch(PSI)and(104.0±20.1)PSI,and the difference was statistically significant(t=5.81,P<0.05).T1 signal intensity values of 10 ml residual liquid and 20 mL residual liquid were respectively 1984.43±70.26 and 2190.56±195.96 in observation group,and they were respectively 1203.36±184.99 and 2884.64±349.39 in control group,and the differences were significant(t=-3.57,6.03,P<0.05).The T1 signal intensity value of 30mL residual fluid sample was 4371.75±75.16 in observation group,and that was 4261.86±110.68 in control group,and the difference was no significant(P>0.05).The SNR value of blood pool was(4.88±1.01)in observation group,which was lower than(8.25±1.36)in control group,and the difference of that between two groups was significant(t=6.11,P<0.05).The CNR values of infarcted myocardium and blood pool,of remote myocardium and blood pool between two groups were statistically significant(t=-4.79,-5.39,P<0.05).Conclusion:The contrast agent of high-pressure bolus injection with dual-phase dual-flow method can not only explore the time window of the extravasation of contrast agent,but also improve the SNR and the CNR of CMR images,and further optimize the CMR examination process.

Objective:To explore the influence of injection methods of different contrast agents on CMR image quality,and further optimize"one-stop"examination process under the premise of the analysis for high-pressure bolus pressure curve of contrast-enhanced(CE)cardiac magnetic resonance(CMR).Methods:The data of CMR examination of 70 patients with old myocardial infarction who admitted to the department of emergency of Xuanwu Hospital,Capital Medical University from December 2023 to December 2024 were selected as research objects.They were divided into an observation group and a control group by a simple randomization method,with 35 cases in each group.The observation group adopted gadolinium contrast agent injection with double-phase double-flow,with two bolus injections at 4 ml/s and 2 ml/s sequentially.The control group adopted the injection with single-phase double-flow,with only one bolus injection at 4 ml/s.The dynamic pressure time curve was drawn,and the total bolus dose and pressure peak of two kinds of injection methods were compared.The residual liquid samples of the observation group and the control group were collected after injection of contrast agent was conducted.After the residual liquids of 10 ml,20 ml and 30 ml were derived respectively,the T1 mapping sequence was used to collect signal intensity values,and to compared the difference of that between two groups.The signal-to-noise ratio(SNR)of left ventricular blood pool,infarcted myocardium and distal myocardium,and the contrast-to-noise ratios(CNR)between infarcted myocardium and blood pool,and between distal myocardium and blood pool were compared between the observation group and the control group.Results:There was no statistical difference in the total dose of bolus injection between the observation group and the control group(P>0.05).The peak value of the pressure of bolus injection in the observation group and control group were respectively(87.4±11.3)pound force per square inch(PSI)and(104.0±20.1)PSI,and the difference was statistically significant(t=5.81,P<0.05).T1 signal intensity values of 10 ml residual liquid and 20 mL residual liquid were respectively 1984.43±70.26 and 2190.56±195.96 in observation group,and they were respectively 1203.36±184.99 and 2884.64±349.39 in control group,and the differences were significant(t=-3.57,6.03,P<0.05).The T1 signal intensity value of 30mL residual fluid sample was 4371.75±75.16 in observation group,and that was 4261.86±110.68 in control group,and the difference was no significant(P>0.05).The SNR value of blood pool was(4.88±1.01)in observation group,which was lower than(8.25±1.36)in control group,and the difference of that between two groups was significant(t=6.11,P<0.05).The CNR values of infarcted myocardium and blood pool,of remote myocardium and blood pool between two groups were statistically significant(t=-4.79,-5.39,P<0.05).Conclusion:The contrast agent of high-pressure bolus injection with dual-phase dual-flow method can not only explore the time window of the extravasation of contrast agent,but also improve the SNR and the CNR of CMR images,and further optimize the CMR examination process.

AIM To establish a UPLC-ESI-MS/MS method for analyzing the toxic material basis of 95％ethanol cold soaked ultrasonic extract(EC),95％ethanol heated reflux extract(EH)and water decoction extract(WD)from Dryopteris crassirhizoma Nakai.METHODS The analysis was performed on a 25 ℃ thermostatic agilent ZORBAX RRHD StableBond C18 column(2.1 mm×150 mm,1.8 μm),with the mobile phase comprising of methanol-0.2％formic acid flowing at 0.30 mL/min,and heated electrospray ion source was adopted in positive and negative ion scanning.Compounds were identified by Compound Discover 3.3 software combined with the database and related literature,and the main differential components were screened by Heatmap cluster analysis and partial least squares discriminant analysis.RESULTS 72 compounds were identified(22 phloroglucinols,19 flavonoids,8 phenylpropanoids,6 terpenoids and 17 other components).The main toxic differential components were phloroglucinols such as flavaspidic acid AB,didemethylpseudoaspidin AA and filixic acid PBP,flavonoids such as(-)-epicatechin,(-)-epigallocatechin,cianidanol,and other compounds such as indole-3-carboxaldehyde.CONCLUSION This method can rapidly,effectively and comprehensively characterize the main chemical composition of D.crassirhizoma,and provide a reference for the study of its pharmacological mechanism.

AIM To establish the near-infrared spectroscopy quantitative models for moisture,23-acetylalismol B and 23-acetylalismol C in Alismatis Rhizoma decoction pieces.METHODS The near-infrared spectroscopy(NIRS)data were collected in 95 batches of decoction pieces,after which drying method was adopted in the content determination of moisture,HPLC was applied to determining the contents of 23-acetylalismol B and 23-acetylalismol C,the quantitative models were established by partial least squares method combined with feature extraction algorithms.RESULTS The model training determination coefficients were 0.952 6,0.958 1 and 0.920 8,along with the prediction determination coefficients of 0.930 0,0.905 2 and 0.906 4,the residual prediction deviations(PRD)of 4.00,3.58 and 3.46,and the root mean square error ratios of prediction values to calibration values(RMSEP/RMSEC)of 1.15,1.11 and 1.06,respectively.CONCLUSION The quantitative models based on NIRS exhibit good prediction effects,which can be used for the rapid quality detection of Alismatis Rhizoma decoction pieces.

Objective To explore the impact of polymorphisms in the solute carrier organic anion transporter family member 1B1(SLCO1B1)and apolipoprotein E(APOE)genes on statins selection and prognosis in patients after percutaneous coronary intervention(PCI).Methods This retrospective study enrolled 612 patients with coronary heart disease hospitalized in Tianjin Beichen Hospital from January 2021 to February 2023.Among them,411 patients who underwent PCI were assigned to PCI group,and 201 patients who did not undergo PCI were assigned to non-PCI group.According to treatment methods,PCI group was further divided into two subgroups:observation subgroup(n=305)and control subgroup(n=106).Non-PCI group was also divided into two subgroups:observation subgroup(n=147)and control subgroup(n=54).Patients in all observation subgroups underwent the detection of SLCO1B1 and APOE gene polymorphisms before medication,and an initial individualized treatment plan(including the selection of appropriate statins and dosages)was formulated based on the detection results.Patients in control subgroups were given statins at conventional dosages.Basic data before medication,post-medication lipid compliance rates[lipid intention-to-treat(ITT)compliance rate and lipid per-protocol analysis(PP)compliance rate],time to lipid compliance,liver function indicators before and after medication,and prognosis,as well as SLCO1B1 and APOE genotyping and allele frequency distribution were compared between observation subgroup and control subgroup.Conditional logistic regression was used to analyze the relationship between different genotypes and prognostic susceptibility.Multifactor dimensionality reduction(MDR)was applied to analyze the interaction between SLCO1B1 genotype and APOE genotype.Results All genotypes of SLCO1B1 and APOE genes in observation subgroups conformed to the Hardy-Weinberg genetic equilibrium test(P>0.05).Compared with control subgroups,the observation subgroups had significantly higher lipid PP compliance rates after 6 and 12 months of treatment.After 3 months of treatment,the number of completed cases and compliant cases in observation subgroups was significantly higher,and the time to lipid compliance was significantly shorter than that in control subgroups(P<0.05).Compared with before treatment,there were no significant changes in alanine aminotransferase(ALT)and creatine kinase isoenzyme(CK-MB)levels in either observation subgroups or control subgroups(P>0.05);the levels of total cholesterol(TC),triglycerides(TG),and low-density lipoprotein cholesterol(LDL-C)were significantly decreased(P<0.001),while high-density lipoprotein cholesterol(HDL-C)level was significantly increased(P<0.01).After 12 months of treatment,the aspartate aminotransferase(AST)level in observation subgroups was significantly lower than that before medication and also lower than that in the corresponding control subgroups(P<0.05).Within PCI group:there were 1 case and 5 cases of myocardial infarction,2 cases and 6 cases of target vessel revascularization,0 cases and 3 cases of stroke,0 cases and 7 cases of recurrent angina pectoris,1 case and 5 cases of readmission in observation subgroup and control subgroup,respectively.There were statistically significant differences between observation subgroup and control subgroup(P<0.05).Within non-PCI group:there were 0 cases and 3 cases of cardiogenic death,2 cases and 6 cases of myocardial infarction,2 cases and 5 cases of target vessel revascularization,0 cases and 4 cases of stroke,0 cases and 8 cases of recurrent angina pectoris,and 2 cases and 4 cases of readmission in observation subgroup and control subgroups,respectively,with statistically significant differences between the two subgroups(P<0.05).In the recessive model,SLCO1B1 and APOE genes were significantly correlated with prognosis in both PCI observation subgroup and non-PCI observation subgroup(P<0.05).MDR analysis of the interaction between SLCO1B1 genotype and APOE genotype in PCI observation subgroup and non-PCI observation subgroup showed that there was a significant interaction between the genotypes,which was closely related to prognosis(P<0.05).Conclusion Individualized statin treatment regimens based on the detection of SLCO1B1 and APOE gene polymorphisms can improve the lipid compliance rate,shorten the time to lipid compliance,and improve the prognosis of patients after PCI.