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 explore the relationship between maternal rejection and internet addiction in college students, as well as the chain mediating role of rejection sensitivity and adaptability.Methods:From March to May 2024, a total of 1 119 college students were surveyed using the short-form Egna Minnen av Barndoms Uppforstran for Chinese(s-EMBU-C), internet addiction test(IAT), rejection sensitivity questionnaire(RSQ), and the China college student adjustment scale(CCSAS).SPSS 26.0 statistical software was used for independent sample t-test, one-way ANOVA, Pearson product moment correlation, and multiple linear regression analysis, and PROCESS 4.0 macro program was used for chain mediation analysis. Results:(1)Maternal rejection (11.19±2.97) was positively correlated with internet addiction (44.89±9.74)( r=0.60, P<0.01) and rejection sensitivity (102.93±55.63)( r=0.63, P<0.01), while negatively correlated with adaptability (200.19±14.18)( r=-0.56, P<0.01) among college students. Rejection sensitivity was positively correlated with internet addiction ( r=0.75, P<0.01) and negatively correlated with adaptability ( r=-0.76, P<0.01). Adaptability was negatively correlated with internet addiction ( r=-0.68, P<0.01). (2)Maternal rejection had a significant direct effect on internet addiction among college students (effect value=0.193, 95% CI=0.145-0.241), accounting for 32.06%(0.193/0.602) of the total effect. Rejection sensitivity mediated the relationship between maternal rejection and internet addiction (effect value=0.290, 95% CI=0.232-0.357), accounting for 48.17%(0.290/0.602) of the total effect. Adaptability also mediated this relationship (effect value=0.028, 95% CI=0.009-0.053), accounting for 4.65%(0.028/0.602) of the total effect. Additionally, there was a chain mediation effect of rejection sensitivity and adaptability on the relationship between maternal rejection and internet addiction (effect value=0.091, 95% CI=0.052-0.130), accounting for 15.12%(0.091/0.602) of the total effect. Conclusion:Maternal rejection can directly influence internet addiction in college students, and it can also indirectly influence internet addiction through the independent mediating effects of rejection sensitivity and adaptability, as well as through the chain mediating effects of both rejection sensitivity and adaptability.

Purpose Based on a variety of combinations of cranial MR Dixon images,the deep learning method is used to generate CT images,and the reconstruction efficiency is evaluated by comparing with the corresponding CT images.Materials and Methods A total of 77 cranial CT and MR images were collected retrospectively in Ruijin Hospital,Shanghai Jiaotong University School of Medicine from June to December 2021.The U-Net neural network was used for network training,with 62 cases in the training set and 15 cases in the test set.CT image reconstruction was performed using four kinds of Dixon images and a total of seven models among the various combinations.Mean absolute error,mean squared error,Pearson correlation coefficient and skull area Dice similarity coefficient were used to evaluate the image reconstruction efficiency.Results The generated CT images of the various Dixon image combination models showed strong correlation with the corresponding CT images(R>0.75,P<0.05),and the CT images reconstructed by the four-channel model had the closest value to the actual CT images[mean absolute error=147.516±30.802,mean squared error=(8.648±3.403)×104],the highest correlation coefficient(R=0.796±0.055),and the highest similarity coefficient in the cranial region(Dice similarity coefficient=0.800±0.036).Conclusion Deep learning training through Dixon images can be used to generate CT images,and the combination of four kinds of Dixon contrast images can improve the CT image reconstruction efficiency.

Background and purpose:Tumor necrosis factor alpha-induced protein 8(TNFAIP8),also called TIPE,plays critical regulatory roles in various malignancies,yet its molecular mechanisms in metabolic reprogramming of triple-negative breast cancer(TNBC)remain elusive.This study aimed to elucidate how TIPE regulates the expression of the glycolytic key enzyme lactate dehydrogenase A to influence TNBC cell proliferation and glycolytic reprogramming,thereby providing potential molecular targets for TNBC therapy.Methods:Stable TIPE-knockdown MDA-MB-231 cell lines were established using a lentiviral shRNA system and selected with puromycin.Transcriptome sequencing was used to analyze TIPE's impact on TNBC glycolytic pathways.Extracellular acidification rate(ECAR)was measured using the Seahorse XF Analyzer,complemented by lactate production assays to evaluate glycolytic capacity.Co-IP/MS was carried out to identify TIPE-interacting proteins,with subsequent validation of TIPE-LDHA interaction through co-transfection of TIPE-Myc and LDHA-Flag plasmids in HEK-293T cells.Protein stability was assessed via cycloheximide(CHX)chase and ubiquitination assays.The cell counting kit-8(CCK-8)assay and animal experiments(Approval Number for Animal Ethics:202212007)were conducted to investigate how TIPE affects the proliferation and glucometabolic reprogramming of TNBC by mediating LDHA.Results:TIPE promoted glycolytic metabolic reprogramming in TNBC.Knockdown of TIPE significantly inhibited TNBC glycolytic activity and glycolytic capacity(P＜0.001).TIPE interacted with the key glycolytic enzyme LDHA and suppressed its degradation rate through a ubiquitination-dependent mechanism.Cellular experiments demonstrated that TIPE mediated LDHA to enhance TNBC cell proliferation(P＜0.001)and glycolytic activity(P＜0.001).Animal studies confirmed that TIPE knockdown significantly suppressed tumor volume(P＜0.05)and weight(P＜0.01),with a positive correlation between TIPE and LDHA expression levels in tumor tissues.Conclusion:TIPE enhances TNBC cell proliferation and glycolytic capacity by inhibiting LDHA ubiquitination-mediated degradation.

Objective:To explore the relationship between maternal rejection and internet addiction in college students, as well as the chain mediating role of rejection sensitivity and adaptability.Methods:From March to May 2024, a total of 1 119 college students were surveyed using the short-form Egna Minnen av Barndoms Uppforstran for Chinese(s-EMBU-C), internet addiction test(IAT), rejection sensitivity questionnaire(RSQ), and the China college student adjustment scale(CCSAS).SPSS 26.0 statistical software was used for independent sample t-test, one-way ANOVA, Pearson product moment correlation, and multiple linear regression analysis, and PROCESS 4.0 macro program was used for chain mediation analysis. Results:(1)Maternal rejection (11.19±2.97) was positively correlated with internet addiction (44.89±9.74)( r=0.60, P<0.01) and rejection sensitivity (102.93±55.63)( r=0.63, P<0.01), while negatively correlated with adaptability (200.19±14.18)( r=-0.56, P<0.01) among college students. Rejection sensitivity was positively correlated with internet addiction ( r=0.75, P<0.01) and negatively correlated with adaptability ( r=-0.76, P<0.01). Adaptability was negatively correlated with internet addiction ( r=-0.68, P<0.01). (2)Maternal rejection had a significant direct effect on internet addiction among college students (effect value=0.193, 95% CI=0.145-0.241), accounting for 32.06%(0.193/0.602) of the total effect. Rejection sensitivity mediated the relationship between maternal rejection and internet addiction (effect value=0.290, 95% CI=0.232-0.357), accounting for 48.17%(0.290/0.602) of the total effect. Adaptability also mediated this relationship (effect value=0.028, 95% CI=0.009-0.053), accounting for 4.65%(0.028/0.602) of the total effect. Additionally, there was a chain mediation effect of rejection sensitivity and adaptability on the relationship between maternal rejection and internet addiction (effect value=0.091, 95% CI=0.052-0.130), accounting for 15.12%(0.091/0.602) of the total effect. Conclusion:Maternal rejection can directly influence internet addiction in college students, and it can also indirectly influence internet addiction through the independent mediating effects of rejection sensitivity and adaptability, as well as through the chain mediating effects of both rejection sensitivity and adaptability.

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.

Advance care planning helps older chronic disease patients and their families receive health care that meets their preferences. This article reviews the concept, assessment tools, influencing factors, and current status of interventions around advance care planning for older patients with chronic disease to inform medical and nursing staff.

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.