The gut microbiota is regarded as the "eighth organ" of the human body and plays a critical regulatory role in the occurrence and progression of various diseases. Ulcerative colitis （UC） is a chronic inflammatory bowel disease with a complex etiology and a tendency toward recurrent episodes. In recent years， studies have shown that gut microbiota dysbiosis plays a key role in its pathological processes. Meanwhile， an increasing number of studies have demonstrated that imbalances in the gut microbiota and abnormalities in its metabolites are closely associated with the development of atrial fibrillation （AF）. Although UC and AF belong to diseases of the digestive system and cardiovascular system， respectively， both exhibit systemic inflammatory characteristics and are often accompanied by gut microbiota dysregulation and abnormal metabolic products. However， systematic investigations into the mechanisms by which gut microbiota-derived metabolites act in these two diseases remain limited. Based on this， the present study adopts literature review and theoretical analysis methods， taking the "gut microbiota-gut-heart" axis as the entry point， to systematically summarize the signaling networks of three key classes of metabolites， i.e.， short-chain fatty acids （SCFAs）， bile acids （BAs）， and trimethylamine N-oxide （TMAO）， in the comorbidity mechanism of UC and AF. The findings indicate that these metabolites may activate key inflammatory pathways， such as NF-κB and NLRP3， thereby synergistically mediating intestinal barrier dysfunction and systemic inflammation and constructing a potential comorbidity network. On this basis， potential intervention strategies for the treatment of UC-AF comorbidity， including probiotic intervention and fecal microbiota transplantation， are further discussed. This study aims to provide new theoretical evidence and research perspectives for prevention and treatment strategies of cross-system diseases.

Objective:To construct a novel clinical prognosis signature for hepatocellular carcinoma (HCC) patients using T cell-related ubiquitination genes.Methods:Transcriptome and clinical data of 371 liver cancer and 50 normal samples were obtained from the TCGA database, and microarray sequencing data of 221 liver cancer samples were selected from the GSE14520 dataset. Single-cell RNA sequencing (scRNA-seq) data of HCC patients were analyzed to identify T cell-related marker genes. These were combined with ubiquitination-related genes. Weighted gene co-expression network analysis (WGCNA) was performed on TCGA transcriptome data to select key genes, resulting in the identification of T cell-related ubiquitination genes. A prognostic model was then constructed using LASSO-Cox regression. Finally, a nomogram was created by combining risk scores and clinical parameters. Count data were expressed by examples and percentages(%). Spearman correlation test was used for correlation analysis. Kaplan-Meier method and Log-rank test were used for survival analysis.Results:Initially, 1 458 T cell-related marker genes were identified. Intersection with 797 ubiquitination-related genes led to the identification of 94 common genes. WGCNA analysis revealed the prognosis-related module MEturquoise. After performing differential gene analysis, Kaplan-Meier analysis, and COX regression, 16 candidate genes were confirmed. LASSO-COX algorithm accurately selected five key genes- UBE2S, PSMD1, FBXL5, UBE2E1, and PSMA7—to construct the prognostic model. Kaplan-Meier analysis indicated that the risk score of the prognostic model was significantly associated with the prognosis of HCC patients (Log-rank test=0.001). Both univariate and multivariate COX regression analysed demonstrated that the risk score was an independent prognostic factor for HCC patients( P<0.05). Finally, a nomogram was constructed by combining the risk score and clinical parameters, providing a more accurate prediction of patient prognosis. Conclusion:The T cell-related ubiquitination gene prognostic model can effectively predict the prognosis of patients with liver cancer.

Objective: To explore the current status and progress of regional school health work to provide policy reference for school health improvement. Methods: Survey data on school health work in Tianjin from 2019, 2021 and 2023 was used. School health staff allocation and expenditure of the health administrative department, CDC and education department, as well as the annual implementation of health education, prevention and control of common diseases and infectious diseases, sports activities and food nutrition in primary and secondary schools were analyzed. Statistical analysis was conducted using KruskalWallis test, Chisquare test, and Fishers exact test. Results: The number of school health staff in the health commissions and education departments from 2019, 2021 and 2023 was relatively stable. Parttime staffs were often employed by health commissions while fulltime staffs were mainly employed by education departments. The number of school health staff at CDCs increased gradually (H=12.65, P<0.01). School health expenditure of administrative departments and schools in 2021 and 2023 increased significantly compared with that in 2019 (H=22.28, 23.75, P<0.05). More than 95% of schools set up clinics or health care rooms, and about 97% of schools had school health technicians or health teachers. More than 90% of schools had health education courses over 4 hours per semester. The rate of mental health education increased by year (86.87%, 89.91%, 96.30%, Z=2.40，P<0.05). Lack of courses regarded safety emergency and risk avoidance, growth and development, and adolescent health education. The provision rate of psychological counseling services (89.00%, 97.25%, 100.00%) and psychological problem prevention and control (56.12%, 71.56%, 81.48%) also increased by year (Z=3.83, 3.96, P<0.01). The implementation rates of prevention and control of poor vision, dental caries, overweight and obesity were all higher than 80%, and the prevention and control rate of abnormal spinal curvature showed an increasing trend (38.78%, 77.06%, 72.22%, Z=4.87, P<0.01). More than 90% of schools met the standard for physical education class hours, and the proportion of schools conducting at least 30 minutes of recess physical activities every day increased year by year (65.00%, 80.73%, 85.98%, Z=3.59, P<0.01). All schools did not have shops. Conclusions School health work in Tianjin is effective and constantly developing. It is necessary to continue to increase the investment of human resources and expenditure in school health, explore the approaches of cooccurrence and prevention of common diseases, and improve the school sports and nutrition environment.

AIM:To investigate the effect of Huangqi-Danggui decoction(HQDG)on the brain tissue of rats with cerebral ischemia/reperfusion(I/R)injury for 7 d by regulating macroautophagy and chaperone-mediated autophagy(CMA),and to explore its mechanism.METHODS:Male SD rats were randomly divided into sham group,model group,HQDG group and Xuesaitong(XST)group.Determination of main chemical components of HQDG by liquid chro-matography-mass spectrometry.The model of middle cerebral artery occlusion/reperfusion in rats was established by the left modified thread embolism method,and the changes of cerebral blood flow were observed by laser speckle blood flow imager.Zea Longa score was used to observe the neurological deficit.HE staining was used to observe the degree of nerve cell injury.The changes of neurovascular unit and autophagosomes in brain tissue were observed by transmission electron microscopy.Immunohistochemical method was used to detect the expression of LC3,P62,lysosome-associated membrane protein-2A(LAMP-2A),heat shock protein 70(HSP70)and myocyte enhancer factor 2D(MEF2D)proteins.Western blot was used to detect the expression of autophagy-related proteins P62 and LC3-Ⅱ/LC3-I.RESULTS:Compared with the sham group,the neurological deficit score in model group was significantly higher(P<0.01).A large number of nerve cells showed necrosis and nuclear dissolution,with the cell arrangement being disordered.The number of autophagosomes increased.The protein expression levels of LC3,LAMP-2A,HSP70 and MEF2D in brain tissue increased,while the ex-pression level of P62 protein decreased(P<0.05 or P<0.01).Compared with the model group,the scores of neurological deficit in brain tissue in HQDG and XST groups were significantly lower(P<0.01).Cell damage was significantly re-duced.The number of autophagosomes further increased.The expression levels of LAMP-2A,HSP70,MEF2D and P62 proteins in brain tissue decreased,while the expression levels of LC3-Ⅱ/LC3-I protein increased(P<0.05 or P<0.01).CONCLUSION:HQDG can alleviate cerebral ischemia/reperfusion injury in rats and exert neuroprotective effects by ac-tivating macroautophagy and reducing CMA.

Objective: To investigate the prevalence of Internet addiction and depression of students, and to analyze the co-occurrence and trend, so as to provide a theoretical basis for prevention and controlling measures of Internet addiction and depression. Methods: A total of 6 317,7 152,81 808,71 180 and 89 932 students aged 10 to 24 years from 12 leagues (103 banners) in Inner Mongolia Autonomous Region were selected by stratified random cluster sampling in September each year from 2017 to 2021. The Internet Addiction Scale and the Central for Epidemiologic Studies Depression Scale(CES-D) was used to measure Internet addiction and depression. And the annual inspection rate, group difference and annual change trend in students were calculated. Multivariate linear regression and restricted cubic spline analysis were used to estimate the linear and non linear associations between Internet addiction and depression in students. Results: The Internet addiction proportion in students gradually decreased from 4.1% in 2017 to 2.1% in 2020, but increased to 3.9% in 2021. And the depressive symptoms proportion increased from 20.9% in 2017 to 28.0% in 2020 and 27.0% in 2021. The detection rate of Internet addiction and depression comorbidities remained at 1.8% to 2.5 %. The Internet addiction proportion in boys was higher than that in girls( χ 2=42.82， P <0.05). The depressive symptoms prevalence in girls was higher than that in boys( χ 2= 553.90， P <0.05). Taking reversal in prevalence of Internet addiction in urban and rural areas was observed in 2019. The detection rates of depressive symptoms and comorbidity were higher in urban areas than these in suburban counties on the whole, and the difference showed a trend of decreasing or even equalizing year by year. Internet addiction was positively correlated with depressive symptoms score ( B=1.67, 95%CI =1.64-1.71), the proportion of depressive symptoms ( OR=1.39, 95%CI =1.38-1.41) and the proportion of major depressive symptoms ( OR=1.35, 95%CI =1.33-1.36) among students in 2021 ( P <0.05). An N-shaped curve was found in the significant nonlinear associations between internet addiction and depression across sex, region and school stage. Conclusion Internet addiction and depression in students show significant linear and non-linear associations, which are consistent in different sexes, regions and school stages. Therefore, relevant measures should be made and implemented in each region, especially in suburb areas, so as to prevent the increasingly development of adolescents and children s Internet addiction and depression.

Objective: To describe the current status of the prevalence of co-morbid myopia and obesity among 7-18 years students in the Inner Mongolia Autonomous Region in 2021 and to analyze the moderating effect of lifestyle in this association ，so as to provide scientific basis for the establishment of the mechanism of Co-morbidity，Shared Etiology，and Shared Prevention of common diseases in children and adolescents. Methods: A total of 139 630 primary and secondary school students aged 7-18 years from Inner Mongolia Autonomous Region were selected by stratified random cluster sampling method in September,2021. Myopia was determined using distance visual acuity examination and refractive error examination, and obesity was determined according to the BMI classification criteria for overweight, obesity screening of Chinese school age children and adolescents. Used a questionnaire, healthy lifestyles were determined according to the American Heart Association s Healthy Lifestyle Score by totaling the six scores for smoking, alcohol consumption, diet, exercise, screen time, and sleep duration.The χ 2 test was used to compare the association between group differences in the co-morbidity rate of myopia and obesity. The multivariable Logistic regression model was used to explore the influencing factors of the co-morbidity of myopia and obesity, and the stratified analysis was used to analyze the moderating effect of lifestyles on the prevalence of the co-morbidity. Results: The prevalence of myopia and obesity co-morbidity among students aged 7-18 years old in the Inner Mongolia Autonmous Region in 2021 was 13.7%, higher among boys than girls ( 15.5 % vs. 11.8%), higher among those aged 10-12 years old than 7-9,13-15,and 16-18 years old (14.7%,13.7%, 13.3%, 12.0%), higher among other ethnic minorities than Han Chinese and Mongolians (15.3%, 14.0%, 12.5%), higher in urban areas than that in suburban areas(15.3%, 13.0%), and middle economic level tracts were higher than poor and good tracts (14.8%, 12.9 %, 12.6%) ( χ 2=392.37，115.73，62.80，119.02，121.60, P <0.05). Multivariable Logistic regression modeling showed that unhealthy lifestyles ( OR=1.24, 95%CI=1.19-1.29 ) and middle level of lifestyle score ( OR=1.15, 95%CI=1.10-1.19 ) students had higher prevalence of co-morbidity, and the results were statistically significant among both boys and girls, the age groups of 10- 12, 13-15, and 16-18 years old, as well as the Han and Mongolian ethnic groups (all P <0.05). Conclusion In 2021, the current situation of myopia and obesity co-morbidity and unhealthy lifestyles among primary and secondary school students in the Inner Mongolia Autonomous Region are not optimistic.

The immune system is an important system to perform defend function,and the lymph node is an important component in this system.There are a variety of immune cells in lymph nodes to produce specific immune responses against invading pathogens.In these immune responses,the high endothelial venule is not only important to maintain the structure of lymph node,but also an important channel for lymphocyte homing.Therefore,studies on its development in lymph nodes and changes in lymph node metastasis of malignant tumors will provide great benefits for clinical diagnosis and treatment.

Objective:To investigate the effects and underlying mechanisms of XRCC3 on esophageal squamous-cell carcinoma (ESCC) radiotherapy response. Methods:Expression levels of XRCC3 were detected by reverse transcription PCR, Western blot, and immunohistochemistry. We knocked down XRCC3 with lentiviral infection in ESCC cells. Cell apoptosis was examined by flow cytom-etry. DNA damage and telomere dysfunction-induced foci were determined by immunofluorescence. Results:The expression levels of XRCC3 in ESCC cells and tissues were higher than those in normal esophageal epithelial cells and corresponding adjacent noncancer-ous esophageal tissues. Knockdown of XRCC3 in ESCC cells substantially increased the therapeutic efficacy of radiation. We demon-strated that the radiation resistance of XRCC3 was attributed to the XRCC3-maintaining telomere stability, which reduced ESCC cell death through radiation-induced apoptosis. Conclusion: Our data suggested that XRCC3 protects ESCC cells from ionizing radia-tion-induced DNA damage and death by enhancing telomere stability. Thus, XRCC3 can be used as a promising therapeutic target for ESCCs.

Objective To investigate the influencing factors and predictors for radiation encephalic necrosis after CyberKnife radiotherapy.Methods Ninety-four patients (104 targets) with primary or metastatic intracranial tumors who were treated with CyberKnife radiotherapy from 2006 to 2011 were retrospectively analyzed.All surgeries adopted skull tracking modes with a dose of 12-45 Gy in 1-8 fractions prescribed to 60％-87％ isodose line.Radiation encephalic necrosis was determined by imaging or pathological examination.Logistic regression analysis was used to analyze the relationship between radiation encephalic necrosis and factors including diabetes,cardio-cerebrovascular diseases,target volume,isodose line,prescribed dose,number of fractions,combination with whole-brain irradiation (WBI),and biologically equivalent dose (BED).Predictability and critical threshold of all influencing factors for radiation encephalic necrosis were determined by the receiver operating characteristic (ROC) curve.Results Twelve targets (11.54％) had radiation encephalic necrosis.According to the result of logistic regression analysis,BED,combination with WBI,and number of fractions were influencing factors for radiation encephalic necrosis.In the ROC curves,the areas under curves for the above three factors were 0.892 ± 0.034,0.650± 0.072,and 0.712 ± 0.064,respectively,indicating that only BED can well predict radiation encephalic necrosis after CyberKnife radiotherapy with a dose threshold of ＞ 7410 cGy.Conclusions BED,combination with WBI,and number of fractions are influencing factors for radiation encephalic necrosis.BED is the best predictor of radiation encephalic necrosis with a dose threshold of ＞ 7 410 cGy.

ObjectiveTo study the CT values of certain phantoms scanned by various CT scanners with dissimilar parameters.Methods The CT values of tissue equivalent inserts was measured in the TM164 and CIRS-062 phantom scanned by TOSHIBA AQUILIONTM,SIEMENS SOMATOMTMSENSATIONTM 64 and SIEMENS SOMATOMTM SENSATIONTM OPEN with different voltages,currents and slice thicknesses and then the corresponding CT-to-density curves was compared. Results There are no significant differences of CT values with various currents and slice thicknesses and also for low atom number materials scanned by different scanners with various tube voltages.The CT values of high atom number materials have obvious differences scanned with tube voltage,the maximum is about 400 HU.There are also significant differences between CT-density curves of two phantoms in the range from soft tissues to dense bone,the maximum is up to 500 HU.ConclusionsCT-density curves were highly affected by materials of phantoms,scanners and tube voltages.It is necessary to measure the curve with a comfortable phantom and certain scanner to assure the accuracy for dose calculation for treatment planning system.