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 potential mechanism of Xiezhuo Jiedu prescription in regulating autophagy in the treatment of ulcerative colitis （UC） by bioinformatics and animal experiments. MethodsThe differentially expressed genes （DEGs） in the colonic mucosal tissue of UC patients was obtained from the Gene Expression Omnibus （GEO）， and those overlapped with autophagy genes were obtained as the differentially expressed autophagy-related genes （DEARGs）. DEARGs were imported into Metascape and STRING， respectively， for gene ontology/Kyoto Encyclopedia of Genes and Genomics （GO/KEGG） enrichment analysis and protein-protein interaction （PPI） analysis. Finally， 15 key DEARGs were obtained. The core DEARGs were obtained by least absolute shrinkage and selection operator （LASSO） regression and receiver operating characteristic curve （ROC） analysis. The CIBERSORT deconvolution algorithm was used to analyze the immunoinfiltration of UC patients and the correlations between core DEARGs and immune cells. C57BL/6J mice were assigned into a normal group and a modeling group. The mouse model of UC was established by free drinking of 2.5% dextran sulfate sodium. The modeled mice were assigned into low-， medium-， and high-dose Xiezhuo Jiedu prescription and mesalazine groups according to the random number table method and administrated with corresponding agents by gavage for 7 days. The colonic mucosal morphology was observed by hematoxylin-eosin staining. The protein and mRNA levels of cysteinyl aspartate-specific proteinase 1 （Caspase-1）， cathepsin B （CTSB）， C-C motif chemokine-2 （CCL2）， CXC motif receptor 4 （CXCR4）， and hypoxia-inducing factor-1α （HIF-1α） in the colon tissue were determined by Western blot and real-time fluorescence quantitative polymerase chain reaction， respectively. ResultsThe dataset GSE87466 was screened from GEO and interlaced with autophagy genes. After PPI analysis， LASSO regression， and ROC analysis， the core DEARGs （Caspase-1， CCL2， CTSB， and CXCR4） were obtained. The results of immunoinfiltration analysis showed that the counts of NK cells， M0 macrophages， M1 macrophages， and dendritic cells in the colonic mucosal tissue of UC patients had significant differences， and core DEARGs had significant correlations with these immune cells. This result， combined with the prediction results of network pharmacology， suggested that the HIF-1α signaling pathway may play a key role in the regulation of UC by Xiezhuo Jiedu prescription. The animal experiments showed that Xiezhuo Jiedu prescription significantly alleviated colonic mucosal inflammation in UC mice. Compared with the normal group， the model group showed up-regulated protein and mRNA levels of caspase-1， CCL2， CTSB， CXCR4， and HIF-1α， which were down-regulated after treatment with Xiezhuo Jiedu prescription or mesalazine. ConclusionCaspase-1， CCL2， CTSB， and CXCR4 are autophagy genes that are closely related to the onset of UC. Xiezhuo Jiedu prescription can down-regulate the expression of core autophagy genes to alleviate the inflammation in the colonic mucosa of mice.

Objective To investigate the therapeutic potential of human umbilical cord-derived mesenchymal stem cells(hUCMSCs)in modulating the cGAS-STING-NF-κB signaling pathway in chronic intermittent hypoxia(CIH)mice.Methods Twenty-four C57BL/6 mice were divided into the control group,the model group,the hUCMSCs group and the hUCMSCs+STING agonist(DMXAA)group,with 6 mice in each group.Except for the control group,the other groups were exposed to hypoxic conditions for 8 hours daily for a total of 8 weeks to establish the CIH mouse model.After 8 weeks,mice were anesthetized for cardiac blood collection followed by euthanasia and lung tissue collection.Serum levels of IL-6,TNF-α,IL-1β and IL-17A were measured by ELISA.Pulmonary inflammatory infiltration and collagen deposition were assessed by HE and Masson staining.E-Cadherin and α-SMA expression levels were evaluated by immunohistochemistry.Expression levels of cGAS,STING and NF-κB mRNA were detected by RT-qPCR,while protein expression levels of E-Cadherin,N-Cadherin,α-SMA,Vimentin,cGAS,STING and NF-κB were analyzed by Western blot assay.Results Compared with the control group,levels of IL-6,IL-1β,TNF-α and IL-17A increased in the model group,inflammation and fibrosis scores increased,mRNA expression levels of cGAS,STING and NF-κB increased,and protein expression levels of N-Cadherin,α-SMA,Vimentin,cGAS,STING and NF-κB increased.In contrast,E-Cadherin protein expression was significantly decreased(P＜0.05).Compared with the model group,IL-6,IL-1β,TNF-α and IL-17A decreased in the hUCMSCs group,mRNA expression levels of cGAS,STING and NF-κB were decreased,protein expression levels of N-Cadherin,α-SMA,Vimentin,cGAS,STING and NF-κB were also decreased.Meanwhile,E-Cadherin protein expression was significantly increased(P＜0.05).STING activator DMXAA reversed the protective effects of hUCMSCs in CIH mice(P＜0.05).Conclusion Intravenous administration of hUCMSCs alleviates pulmonary inflammatory infiltration and epithelial-mesenchymal transition in mouse model of intermittent hypoxia,which may be related to the down-regulation of the cGAS-STING-NF-κBsignaling pathway.

Objective To investigate the effect of miR-7975 on the malignant phenotype of oral squamous cell carcinoma(OSCC)and its potential mechanisms.Methods This study compared the expression levels of miR-7975 in different oral cell lines by qRT-PCR.miR-7975 mimic and miR-7975 inhibitor were transfected into OSCC cell lines HSC3 and HN4 respectively.Colony formation as-say,CCK8 assay,Transwell assay,and wound healing assay were conducted to evaluate the effects of miR-7975 on the malignant phe-notype of OSCC cells.Western blot was employed to analyze changes in the expression of EMT related proteins and proteins associated with the RAS/ERK signaling pathway.Subcutaneous tumor model of nude mice was used to further validate the tumorigenic effect of miR-7975 in vivo.Results The expression of miR-7975 was downregulated in OSCC cells.Overexpression of miR-7975 reduced the proliferation,migration,and invasion abilities of OSCC cells,whereas downregulation of miR-7975 enhanced these abilities.After miR-7975 overexpression,the expression of the EMT-related protein E-cadherin was upregulated,while N-cadherin,Vimentin,β-catenin,Snail,and Slug were downregulated.Additionally,the expression of proteins related to the RAS/ERK signaling pathway increased.Conversely,the expression of EMT and RAS/ERK signaling pathway-related proteins showed opposite changes when miR-7975 was downregulated.Compared to the control group,the volume and weight of tumors formed in nude mice were significantly smaller after miR-7975 overexpression,while they were significantly larger when miR-7975 expression was reduced.Conclusion miR-7975 exerts its tumor-suppressive effects by inhibiting the proliferation,migration,and invasion of OSCC through the regulation of EMT and the RAS/ERK signaling pathway.

Objective:To investigate the influencing factors of major adverse cardiovascular events (MACE) in maintenance hemodialysis (MHD) patients, and to construct and verify the nomogram.Methods:The clinical data of 240 patients with MHD admitted to the First Affiliated Hospital of Hebei North University from July 2022 to October 2023 were retrospectively analyzed. According to whether the patients had MACE, they were divided into two groups, namely the occurrence group (with MACE, n=55) and the non-occurrence group (without MACE, n=185). After comparing the clinical data of the two groups, The independent risk factors of MHD patients with MACE were screened by binary logistic regression analysis, and the risk nomogram prediction model was constructed according to the risk factors, and the prediction efficiency of the model was analyzed by Bootstrap method. Results:There were significant differences in age, dialysis age, hyperlipidemia, hyperuricemia and hemodialysis flux between the two groups (all P<0.05). Binary logistic regression model analysis showed that dialysis age >12 months, combined with hyperlipidemia, combined with hyperuricemia, and low throughput hemodialysis were independent risk factors for MHD patients with MACE (all P<0.05). The neomorph risk prediction model was constructed based on independent risk factors. The area under the curve (AUC) of the prediction model was 0.842(95% CI: 0.789-0.896), the specificity was 69.1%, the sensitivity was 89.7%, the cutoff value was 13.128, and the Yoden index was 0.588, suggesting that the accuracy of the model was good. Conclusions:Dialysis age >12 months, combined with hyperlipidemia, combined with hyperuricemia and low throughput hemodialysis are independent risk factors for MACE in MHD patients. Intervention and control of risk factors can reduce the incidence of MACE.

OBJECTIVE To investigate the characteristics of influenza A and influenza B viruses infections in the children aged between 0 and 14 years old after COVID-19 was downgraded to category B management of infectious diseases.METHODS From Jan.2023 to Feb.2024,a total of 2349 children aged between 0 and 14 years old who were treated in Beijing Hospital of Traditional Chinese Medicine,Capital Medical University due to influenza-like symptoms of infection and received nucleic acid testing for influenza A and influenza B viruses were recruited as the research subjects.The gender and age of the children as well as the seasons were observed by chi-square test.RESULTS Totally 2349 children were included in the study,and the total positive rate of influenza was 49.85％(1171/2349);the positive rate of influenza A virus was 36.36％(854/2349),the positive rate of influenza B virus was 13.92％(327/2349),and the positive rate of the mixed infections of influenza A virus and influenza B virus was 0.43％(10/2349).The positive rate of influenza A of the girls was the highest(44.17％)(x2=8.980,P=0.011)among the children aged less than 5 years old;the positive rate of influenza B of the boys was the highest(17.19％)(x2=8.378,P=0.015)among the children aged between 5 and 10 years old.There was significant difference in the positive rate of influenza A virus among the seasons in 2023 to 2024(x2=268.12,P＜0.001);the prevalence rate was 60.93％in spring,44.40％in autumn,22.01％in winter.There was significant difference in the positive rate of influenza B virus among the seasons in 2023 to 2024(x2=373.16,P＜0.001),and the preva-lence rate was 25.44％in winter.CONCLUSIONS The influenza viruses are prevalent in spring,autumn and winter from 2023 to 2024,and the influenza A is dominant.The positive rate of influenza viruses shows an upward trend among the children aged between 0 and 14 years old after the COVID-19 is downgraded to category B management of infectious diseases,with the peak of prevalence lagging behind.

Objective:To compare the outcomes of simple hysterectomy(SH)and radical hysterectomy(RH)in elderly patients with cervical cancer.Methods:A retrospective cohort study was conducted, including 633 elderly patients with cervical cancer who underwent surgical treatment at Shangqiu First People's Hospital from January 2016 to December 2020.Among them, 247 patients underwent SH, and 215 patients underwent RH.Propensity score matching was applied, resulting in two groups: 125 patients in the SH group and 124 patients in the RH group.The primary outcome was the pelvic recurrence rate at 2 years of follow-up.Secondary outcomes included the incidence of urinary incontinence and urinary retention.Kaplan-Meier survival analysis was used to compare the recurrence rates between the two groups, and a Cox proportional hazards regression model was used to analyze the factors influencing recurrence rates.Results:After matching, the baseline characteristics of the two groups were similar and comparable(all P>0.05).Kaplan-Meier results showed that, although the pelvic recurrence rate in the SH group was higher than that in the RH group before matching(4.5% vs.2.3%, P<0.05), the pelvic recurrence rates were similar between the two groups after matching(3.2% vs.2.4%, P>0.05).The SH group had significantly lower postoperative complications, including urinary retention(1.6% vs.8.1%, P<0.05), compared to the RH group, while there was no significant difference in the incidence of urinary incontinence(4.0% vs.9.7%)and the risk of cervical cancer-related death(1.6% vs.0.8%)between the two groups( P>0.05).Multivariate Cox regression analysis showed that age( HR=1.254), tumor grade( HR=1.315), and FIGO stage( HR=1.203)were important factors influencing pelvic tumor recurrence during follow-up(all P<0.05). Conclusions:elderly patients with low-risk cervical cancer, the 2-year pelvic recurrence rates for SH and RH are similar.However, SH is associated with a lower risk of urinary incontinence and urinary retention.

Objective To investigate the value of CT radiomics for predicting effect of neoadjuvant chemotherapy(NACT)for locally advanced gastric cancer(LAGC).Methods Totally 325 LAGC patients who received NACT were retrospectively enrolled,among them 247 were taken as training set,while the rest 78 were taken as validation set.Tumor regression scale(TRG)was evaluated according to postoperation pathology after NACT,and the efficacy of NACT was evaluated.Univariate logistic regression was used to analyze and screen clinical predictors of effect of NACT,and clinical model was constructed.Radiomics features were extracted based on venous phase enhanced CT pre-and post-NACT,and Delta radiomics features(i.e.the ratio of the difference of pre-and post-NACT radiomics features and pre-NACT radiomics features)were calculated.The best features were screened based on pre-NACT,post-NACT and Delta radiomics features to construct radiomics labels,the optimal label was screened and used to construct combined model through combining clinical model.Receiver operating characteristic(ROC)curve was plotted,and the area under the curve(AUC)was calculated to evaluate predicting efficiency of the above models.Decision curve analysis(DCA)was performed to explore the clinical value of each model.Results In training set,significant effect was found in 67 cases,but not in 180 cases,while in validation set,significant effect was found in 18 cases but not in 60 cases.Borrmann classification of LAGC before NACT was the clinical predictor(P=0.031),and clinical model was constructed,which had AUC of 0.577 and 0.520 in training and validation sets,respectively.Based on pre-NACT,post-NACT and Delta radiomics features,19,14 and 17 best features were selected,and AUC of the established radiomics labels of Pre-Rad,Post-Rad and Delta-Rad in training set was 0.672,0.796 and 0.789,while in validation set was 0.558,0.805 and 0.666,respectively.Post-Rad was the optimal label,which was used to construct combined model.AUC of the obtained combined model in training and validation sets was 0.824 and 0.818,respectively,both higher than that of clinical model(both P＜0.001)but not different with that of Post-Rad(both P＞0.05).Taken 0.4 to 0.7 as the threshold,the combined model had higher clinical net benefit than the other two.Conclusion Venous CT radiomics could effectively predict effect of NACT for LAGC.Combining with clinical features could improve its predictive efficacy.

Objective:To investigate immunomodulatory effects of methionine enkephalin(MENK)on macrophages,and to explore effect of opsonizing receptors in anti-influenza virus infection of macrophages.Methods:Potential targets for antiviral effects of MENK on macrophages were explored by network pharmacology.Proteomics analysis was used to identify differentially expressed pro-teins(DEPs)in macrophages of MENK-PR8 and PR8 groups.DEPs were analyzed by bioinformatics,and key factors were verified by qPCR and Western blot.Results:MENK had 85 intersection targets with macrophages and influenza viruses,of which 7 were related to phagosome pathway(mmu04145).A total of 215 DEPs were identified by mass spectrometry,which were highly enriched in phago-some(mmu04145)and interaction of viral proteins with cytokines and cytokine receptors(mmu04061)pathways.qPCR and Western blot showed that Fc gamma receptor(FcγR)and complement receptor(CR3)related to phagosome were highly expressed.Conclu-sion:MENK enhances function of phagocytosis and killing virus by upregulating opsonizing receptors via opioid receptor,suggesting that MENK can serve as an immune modulator or a novel preventive drug for influenza viruses.