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.

ObjectiveTo explore the therapeutic effect and mechanism of Xianglian Huazhuo prescription on chronic atrophic gastritis （CAG） in rats based on the Hedgehog signaling pathway. MethodsThe CAG rat model was established by sodium salicylate， N-methyl-N′-nitro-N-nitroguanidine （MNNG）， and irregular feeding. The successfully modeled rats were randomly divided into a model group （180 mg·L^-1）， a moradan group （1.4 g·kg^-1）， and Xianglian Huazhuo Prescription groups with high， medium， and low doses （36， 9， 18 g·kg^-1）， followed by drug intervention. Hematoxylin-eosin （HE） staining was used to observe morphological changes in the gastric mucosa. Transmission electron microscopy was used to observe the ultrastructure of gastric mucosa cells. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of Sonic Hedgehog （Shh）， Patched 1 （Ptch1）， and Glioma-associated oncogene homolog 1 （Gli1）. Western blot was used to detect the protein expression levels of Shh， Ptch1， and Gli1 in the gastric mucosa. Immunohistochemistry was used to observe the protein expression of the epithelial marker E-cadherin. ResultsCompared with the normal group， the CAG model group showed a reduction in gastric mucosal intrinsic glands and infiltration of inflammatory cells. The ultrastructure of gastric mucosal cells showed nuclear pyknosis， fewer mitochondria， and abnormal mitochondrial structure. The mRNA and protein expression of Shh， Ptch1， and Gli1 in the gastric mucosa were significantly decreased （P<0.05）， and E-cadherin protein expression was decreased. Compared with the model group， the intervention groups showed varying degrees of improvement in histopathological morphology and cellular ultrastructure. The mRNA and protein expression of Shh， Ptch1， Gli1， and E-cadherin increased to varying degrees. Xianglian Huazhuo Prescription upregulated the expression of key Hedgehog pathway factors and E-cadherin at both the mRNA and protein levels （P<0.05）. ConclusionXianglian Huazhuo prescription has a therapeutic effect on CAG in rats， and its mechanism may be related to activation of the Hedgehog signaling pathway and inhibition of epithelial-mesenchymal transition （EMT）.

Immunohistochemistry(IHC)technique is one of the routine detection methods of pathology.At present,the fully automatic immunohistochemistry analyzer has been widely applied in many fields included biology,basic medicine and clinical pathology,which has been a valuable testing equipment of related pathological experiments in university.The use of this kind of equipment in experimental teaching for undergraduate can increased experimental efficiency,and reduce manual errors through standardized operations.At the same time,the possessed capability of this equipment for batch processing was suitable in teaching for class with large scale.This article explored the working principle,usage technique,daily maintenance and troubleshooting for the BOND Max fully automatic immunohistochemistry analyzer at Jilin University's National Biological Experimental Teaching Demonstration Center,and it also expounded its application in experimental teaching,which aim was to improve the efficiency of fully automatic immunohistochemistry analyzer.It can provide technical support for operator.

Immunohistochemistry(IHC)technique is one of the routine detection methods of pathology.At present,the fully automatic immunohistochemistry analyzer has been widely applied in many fields included biology,basic medicine and clinical pathology,which has been a valuable testing equipment of related pathological experiments in university.The use of this kind of equipment in experimental teaching for undergraduate can increased experimental efficiency,and reduce manual errors through standardized operations.At the same time,the possessed capability of this equipment for batch processing was suitable in teaching for class with large scale.This article explored the working principle,usage technique,daily maintenance and troubleshooting for the BOND Max fully automatic immunohistochemistry analyzer at Jilin University's National Biological Experimental Teaching Demonstration Center,and it also expounded its application in experimental teaching,which aim was to improve the efficiency of fully automatic immunohistochemistry analyzer.It can provide technical support for operator.

Objective To investigate the effect and mechanism of sodium ferulate in the treatment of Ménière disease(MD)model mice.Methods BALB/c mice were selected,and an MD model was constructed using posterior fossa epidural approach combined with intraperitoneal injection of aldosterone.Sixty model mice were randomly grouped into the model group,the low dose sodium ferulate group,the medium dose sodium ferulate group,the high dose sodium ferulate group and the dexamethasone group,with 12 mice in each group.Another 12 BALB/c mice were selected as the sham operation group.After grouping and tympanic administration,auditory evoked brainstem response(ABR)was applied to detect the hearing level of mice in each group.HE staining and magnetic resonance imaging(MRI)were applied to observe the morphology of cochlea and membranous labyrinth hydrops of mice in each group.Enzyme-linked immunosorbent assay was applied to detect serum levels of lipoprotein a[Lp(a)],pro-inflammatory factor interleukin-6(IL-6)and tumor necrosis factor-α(TNF-α)in each group.Immunohistochemical staining and Western blot assay were applied to detect the expression of Lp(a)in each group.Results Compared with the sham operation group,the ABR threshold,the score of membranous labyrinth hydrops,the proportion of middle stage area,serum levels of Lp(a),IL-6 and TNF-α,the IOD value of Lp(a)positive expression and the expression of Lp(a)protein in the cochlea of mice were significantly increased in the model group(P＜0.05).Compared with the model group,the ABR threshold,the score of membranous labyrinth hydrops,the proportion of middle stage area,levels of serum Lp(a),IL-6 and TNF-α,the IOD value of Lp(a)positive expression and the expression of Lp(a)protein in the cochlea of mice were significantly decreased in the low,medium and high dose sodium ferulate groups and the dexamethasone group(P＜0.05),and the effect of high dose sodium ferulate was more obvious.Conclusion Sodium ferulate can down regulate the expression of Lp(a)protein,reduce the production of proinflammatory factors,inhibit the inflammatory reaction,thereby alleviating the symptoms of membranous labyrinth hydrops in MD mice,and improving their auditory function.

Objective:To explore the influencing factors for hypoglycemia in elderly patients during peri-colonoscopy, construct and validate a risk prediction model.Methods:The factors influencing hypoglycemia in elderly patients during the peri-colonoscopy period were identified through a literature review and semi-structured interviews. After two rounds of Delphi expert consultation, the survey questionnaire was determined. From January to September 2023, convenience sampling was used to select elderly patients who underwent colonoscopy in the Department of Gastroenterology at the Affiliated Hospital of Qingdao University as participants for a questionnaire survey. Univariate and multivariate Logistic regression was used to explore the influencing factors of hypoglycemia in elderly patients during the peri-colonoscopy period, and a nomogram model of hypoglycemia risk in elderly patients during the peri-colonoscopy period was drawn. The area under the receiver operating characteristic curve ( AUC) of the subjects and the Hosmer-Lemeshow goodness of fit test were used to evaluate the model's predictive performance. The clinical decision curve of DCA was implemented to evaluate the model's clinical benefit ability. Results:A total of 558 questionnaires were distributed (392 for the modeling group and 166 for the validation group) and 558 valid questionnaires were collected, with a valid response rate of 100.00%. Among 558 elderly patients, a total of 130 cases (89 in the modeling group and 41 in the validation group) experienced hypoglycemia during the peri-colonoscopy period, with an incidence of 23.30%. Multivariate Logistic regression analysis showed that serum albumin, age, previous hypoglycemia frequency, insulin use, fasting time, and nutritional risk were independent influencing factors (all P<0.05). The AUCs of the modeling and validation groups were 0.933 and 0.899, respectively. Hosmer Lemeshow test showed that the model had good calibration accuracy, and the DCA curve indicated that the model had good clinical effectiveness. Conclusions:The nomogram model has good predictive performance and can intuitively and concisely predict the risk of hypoglycemia in elderly patients during the peri-colonoscopy period, providing reference for medical and nursing staff.

Objective To analyse the hot topics(CKD)frontiers,and of blood pressure monitoring in research of chronic kidney disease(CKD)at home and abroad,and provide references for future research in this field.Methods Articles on blood pressure monitoring in published in Web of Science,China Knowledge Network Infrastructure(CNKI),Wanfang(Wanfang Data)and China Science and Technology Journal Database(VIP)from 2011 to 2022 were searched,and CiteSpace 5.8.R3 visual analysis software was employed to analyse the number of articles involved,country,institution,keyword co-occurrence.The analysis was performed on the number of published papers,countries,institutions,keyword co-occurrence atlas,high frequency subject terms,keyword emergence and emergence of literatures.Results ① A total of 504 articles in English and 72 articles in Chinese were extracted from the literature search.Annual distribution of the number of articles generally showed a continuous upward trend,in which 2 peaks of articles were formed in 2016 and 2018;the main country of issuance was the United States,and the main institution of issuance was the Aristotle University of Thessaloniki,Greece;② In the analysis of keyword co-occurrence,8 high-frequency keywords with a word frequency greater than or equal to 30 were identified.It indicated that the research hotspots mainly focused on the classification of hypertension,the characteristics of blood pressure circadian rhythm,the management of cardiovascular disease and the prediction of death and prognosis in the blood pressure monitoring of CKD;③ Further testing of the emergent terms and emergent literatures yielded 23 strongest emergent terms and 11 emergent literatures,which went through three stages of development,namely,early,intermediate and latest.It was found that the research gradually shifted from the application of blood pressure monitoring in the assessment and diagnosis of kidney disease to the treatment,management and prognostic assessment of hypertension in CKD Conclusion The importance of blood pressure monitoring in the management of hypertension in CKD has received increasing attention from researchers,and future researches should focus on using different blood pressure monitoring schemes to enhance the assessment of cardiovascular risks and the individualised management of hypertension.