Objective To investigatethe relationship between gastroesophageal reflux disease (GERD) symptoms and clinicopathological characteristics, p53 expression, and survival of Chinese patients with esophageal adenocarcinoma. Methods A total of 3882 patients with esophageal adenocarcinoma, 970 matched patients with esophageal squamous cell carcinoma, and 970 matched patients with gastric cardia adenocarcinoma were included to compare the incidence of GERD symptoms. Patients with esophageal adenocarcinoma were divided into two groups according to the presence and absence of GERD symptoms. The differences in clinicopathological characteristics and p53 expression between the two groups were compared by chi-square test, and the differences in survival between the two groups were compared by landmark analysis. Results The incidence of GERD symptoms increased successively in esophageal squamous cell carcinoma, esophageal adenocarcinoma, and gastric cardia adenocarcinoma. In patients with esophageal adenocarcinoma, the proportions of male, less than 65 years old, lower thoracic tumors, tumors without squamous cell carcinoma, poorly differentiation, early tumors (stage 0-I), and p53-positive tumors in the group with GERD symptoms were higher than those in the group without GERD symptoms; moreover, the long-term survival (≥15 years) was better. Conclusion GERD symptom is an important clinical sign of esophageal adenocarcinoma. It is closely related to specific clinicopathological characteristics, p53 overexpression, and good long-term prognosis.

ObjectiveTo investigate the recurrence of ischemic stroke (IS) and to analyze the association between four indices of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG) and the risk of IS recurrence by analyzing the follow-up data related to IS in the community-based natural population of Songjiang District, Shanghai, so as to provide a scientific basis for improving the prognosis of stroke patients in the community and controlling IS recurrence. MethodsA prospective follow-up study was conducted among the IS patients in the community-based cohort population, collecting data about patient’s age, gender, disease history, biochemical indicators, and etc. Cox regression model and restricted cubic spline model were used to analyze the relationship between different levels of plasma lipids and the recurrence of IS in these patients. ResultsA total of 1 368 patients with IS were included. The total follow-up duration was 7 171.46 person-years, with a median follow-up time of 6.24 years. There were 420 cases of IS recurrence, resulting in a cumulative recurrence rate of 30.70%. The results of multivariate Cox regression analysis showed that the recurrence risk of IS was reduced when the baseline TC and LDL-C levels of IS patients were in the ranges of 4.65‒5.67 mmol·L^-1 and 2.52‒3.46 mmol·L^-1, respectively. The results of restricted cubic spline analysis showed a U-shaped relationship between baseline TC and LDL-C levels and the recurrence risk in IS patients. ConclusionThe cumulative recurrence rate of patients with IS in the community of Songjiang District in Shanghai is high, and the levels of TC and LDL-C at baseline survey are correlated with the recurrence of IS in these patients. It is suggested to pay more attention to the levels of LDL-C and TC in patients with IS, so as to improve the prognosis.

Near-surface ozone is a profoundly reactive and highly oxidizing gas and one of the critical respiratory toxicants. Numerous epidemiological investigations have indicated that asthmatic individuals are the vulnerable group of ozone exposure， and there is a strong correlation between ozone exposure and asthma morbidity and mortality rates. The potential mechanisms include oxidative stress， inflammatory response， autonomic nerve impairment， and immune dysfunction. The present study summarized and discussed the effect of ozone exposure on asthma and its underlying biological mechanisms in order to galvanize public cognizance concerning the perils of ozone pollution and serve as a reference for future research on ozone exposure and asthma.

BACKGROUND:Hypoxia is strongly associated with the development and progression of osteoarthritic chondrocyte injury,but the specific targets and regulatory mechanisms are unclear. OBJECTIVE:A machine learning approach was used to identify KDEL(Lys-Asp-Glu-Leu)receptor 3(KDELR3)as a characteristic gene for osteoarthritis hypoxia and immune infiltration analysis,to provide new ideas and methods for the treatment of osteoarthritis. METHODS:The osteoarthritis-related datasets were downloaded from the GEO database and the GSEA website to obtain hypoxia-related genes.The osteoarthritis datasets were batch-corrected and immune infiltration analyzed using R language,and osteoarthritis hypoxia genes were extracted for differential analysis.Differentially expressed genes were analyzed for GO function and KEGG signaling pathway.Weighted correlation network analysis(WGCNA)and machine learning were also used to screen osteoarthritis hypoxia signature genes,and in vitro cellular experiments were performed to validate expression and correlate immune infiltration analysis using the datasets and qPCR. RESULTS AND CONCLUSION:(1)8492 osteoarthritis genes were obtained by batch correction and principal component analysis,mainly strongly associated with immune cells such as Macrophages M2 and Mast cells resting;200 hypoxia genes were also obtained,resulting in 41 osteoarthritis hypoxia differentially expressed genes.(2)GO analysis involved mainly biological processes such as response to nutrient levels and glucocorticoids;cellular components such as lysosomal lumen and Golgi lumen;and molecular functions such as 14-3-3 protein binding and DNA-binding transcriptional activator activity.(3)KEGG analysis of osteoarthritis hypoxia differentially expressed genes was associated with signaling pathways such as PI3K-Akt,FoxO,and microRNAs in cancer.(4)The characteristic gene KDELR3 was obtained after using WGCNA analysis and machine learning screening.(5)The gene expression of KDELR3 was found to be higher in the test group than in the control group in the synovium(P=0.014)but lower in the meniscus(P=0.024)after validation by gene microarray.(6)In vitro chondrocyte assay showed that the expression of KDELR3 was higher in cartilage than in the control group(P=0.005),while KDELR3 was closely associated with Macrophages M0(P=0.014)and T cells follicular helper(P=0.014).Using a machine learning approach,we confirmed that KDELR3 can be used as a hypoxic signature gene for osteoarthritis and may intervene in osteoarthritis pathogenesis by improving hypoxia,expecting to provide a new direction for better treatment of osteoarthritis.

BACKGROUND:Ferroptosis is strongly associated with the occurrence and progression of osteoarthritis,but the specific characteristic genes and regulatory mechanisms are not known. OBJECTIVE:To identify osteoarthritis ferroptosis signature genes and immune infiltration analysis using the WGCNA and various machine learning methods. METHODS:The osteoarthritis dataset was downloaded from the GEO database and ferroptosis-related genes were obtained from the FerrDb website.R language was used to batch correct the osteoarthritis dataset,extract osteoarthritis ferroptosis genes and perform differential analysis,analyze differentially expressed genes for GO function and KEGG signaling pathway.WGCNA analysis and machine learning(random forest,LASSO regression,and SVM-RFE analysis)were also used to screen osteoarthritis ferroptosis signature genes.The in vitro cell experiments were performed to divide chondrocytes into normal and osteoarthritis model groups.The dataset and qPCR were used to verify expression and correlate immune infiltration analysis. RESULTS AND CONCLUSION:(1)12 548 osteoarthritis genes were obtained by batch correction and PCA analysis,while 484 ferroptosis genes were obtained,resulting in 24 differentially expressed genes of osteoarthritis ferroptosis.(2)GO analysis mainly involved biological processes such as response to oxidative stress and response to organophosphorus,cellular components such as apical and apical plasma membranes,and molecular functions such as heme binding and tetrapyrrole binding.(3)KEGG analysis exhibited that differentially expressed genes of osteoarthritis ferroptosis were related to signaling pathways such as the interleukin 17 signaling pathway and tumor necrosis factor signaling pathway.(4)After using WGCNA analysis and machine learning screening,we obtained the characteristic gene KLF2.After validation by gene microarray,we found that the gene expression of KLF2 was higher in the test group than in the control group in the meniscus(P=0.000 14).(5)In vitro chondrocyte assay showed that type Ⅱ collagen and KLF2 expression was lower in the osteoarthritis group than in the control group in chondrocytes(P<0.05),while in osteoarthritis ferroptosis,mast cells activated was closely correlated with dendritic cells(r=0.99);KLF2 was closely correlated with natural killer cells(r=-1,P=0.017)and T cells follicular helper(r=-1,P=0.017).(6)The findings indicate that using WGCNA analysis and machine learning methods confirmed that KLF2 can be a characteristic gene for osteoarthritis ferroptosis and may improve osteoarthritis ferroptosis by interfering with KLF2.

The genus jujube(Ziziphus jujuba Mill.)within the Rhamnaceae family encompasses numerous varieties,such as Ziziphus jujuba Mill.var.jujuba,Ziziphus jujuba var.inermis,and var.spinosa,etc.Among these,the jujube fructus has the most abundant cultivated variants across the country,including Ziziphus jujuba cv.Hamidazao and Ziziphus jujuba cv.Huanghetanzao.Jujube plants are rich in variety and are used for both medicinal and food purposes.Polysaccharides,one of the main active ingredients of jujube,are important medicinal components that contribute to its efficacy.Jujube polysaccharides have been found to promote hematopoiesis,exhibit antioxidant and anti-tumor activities,repair liver damage,regulate the immune system,and provide anti-inflammatory effects.By comprehensively summarizing and analyzing the literature on jujube polysaccharides from different varieties and origins,this paper reviews the potential mechanisms of action of jujube polysaccharides in exerting biological activities.It also summarizes the primary structural features,such as relative molecular mass,monosaccharide composition,glycosidic linkage,and the substituent modifications of jujube polysaccharides by sulfation,phosphorylation,carboxymethylation,selenization,and acetylation.This review aims to provide a reference for the research and development of jujube in the fields of innovative polysaccharide drugs and functional foods.

Objective:To investigate the necessity of internal fixation of the fibular fracture in the treatment of degree Ⅱ ankle supination-external rotation injury by the Dias-Tachdjian classification in children.Methods:A retrospective study was conducted to analyze the data of 69 children with ankle fracture (degree Ⅱ ankle supination-external rotation injury by the Dias-Tachdjian classification) who had been treated at Department of Orthopedic Trauma, The People's Hospital of Weifang and Department of Pediatric Orthopedics, Tianjin Hospital from January 2015 to October 2021. There were 41 males and 28 females with an age of (10.1±1.4) years, and 37 left and 32 right sides affected. The patients were divided into 2 groups according to whether internal fixation of the fibular fracture was performed. Group A consisted of 21 cases with fibular internal fixation and group B of 48 cases without fibular internal fixation. The preoperative data, operation time and operation expenses were recorded and compared between the 2 groups. At the last follow-up, the anteroposterior and lateral radiographs of bilateral full length lower limbs and ankle joints were taken; the lateral distal tibial angle (LDTA) and the anterior distal tibial angle (ADTA) on the affected side, and the disparity between bilateral ankle tibiotalar angles were measured; ankle function was assessed according to the ankle-hindfoot score of American Association of Foot and Ankle Surgery (AOFAS); the occurrence of premature physeal closure (PPC) was recorded.Results:There was no significant difference in the preoperative general data between the 2 groups, indicating comparability ( P>0.05). All patients were followed up for (19.5±4.1) months. At the last follow-up, the LDTA on the affected side was 89.6° (87.9°, 90.5°) in group A and 88.6°±1.9° in group B; the ADTA on the affected side was 80.9° (79.0°, 81.4°) in group A and 80.0° (78.6°, 81.2°) in group B; the disparity between bilateral ankle tibiotalar angles was 1.1°±0.5° in group A and 1.2°±0.5° in group B; the AOFAS ankle-hindfoot score was (89.5±5.2) points in group A and 89.0 (87.0, 92.0) points in group B. There was no statistically significant difference between the 2 groups in the above items ( P>0.05). The incidence of PPC was, respectively, 14.3% (3/21) and 14.6% (7/48) in groups A and B, showing no statistically significant difference ( P>0.05). Conclusions:In the treatment of degree Ⅱ ankle supination-external rotation injury in children, internal fixation of the fibular fracture has no significant effect on the imaging angles or the function of the ankle joint. After anatomic reduction of the distal tibia, the fibular fracture can be treated without internal fixation to reduce operational trauma, shorten operation time and reduce operation expenses.

Purpose/Significance To construct a named entity corpus of traditional Chinese medicine(TCM)ancient records,and to improve the recognition accuracy and applicability of the general domain named entity recognition(NER)model in the field of TCM ancient records.Method/Process Annotation standards for entities in TCM ancient records are formulated,and 2 384 Xin'an medical records are annotated.A RoBERTa-BiLSTM-CRF model is developed,and word vectors with semantic features are generated using the RoBERTa pre-trained language model.The BiLSTM-CRF model is used to learn the global semantic features of sequences and decode and output the optimal label sequence.Dictionary and rule features are incorporated to enhance the model's capability to recognize entity boundaries and categories.Result/Conclusion The model shows a good recognition effect on the named entity corpus of Xin'an medical cases.Integration of domain terminology dictionaries and rule-based features improves the overall Fl score to 72.8％.

Objective:To investigate the effect of tele-rehabilitation program on ataxic dysarthria following stroke.Methods:A total of 101 patients with stroke and dysarthria who received treatment at The First People's Hospital of Huzhou between January 2021 and October 2023 were included in this study. They were divided into an observation group ( n = 51) and a control group ( n = 50) using the random number table method. Patients in the control group received conventional family rehabilitation guidance, while those in the observation group participated in a tele-rehabilitation program. All patients were treated for 12 weeks. Before and 12 weeks after the intervention, the Frenchay Dysarthria Assessment (FDA) and speech clarity tests were used to assess speech function. Changes in FDA scores and speech clarity scores post-intervention were compared with pre-intervention scores. The observation group was further divided into mild, moderate, and severe groups based on FDA scores, and the differences in effect of tele-rehabilitation program on ataxic dysarthria among the three groups after the intervention were compared. Results:At 12 weeks after intervention, both the observation and control groups showed improvements in FDA scores and speech clarity [observation group: (43.88 ± 16.13) points, (68.65 ± 16.99)%; control group: (49.68 ± 12.09) points, (62.36 ± 14.20)%] compared with their baseline measurements [observation group: (55.12 ± 12.63) points, (57.96 ± 13.48)%; control group: (54.16 ± 10.69) points, (57.84 ± 12.78)%] ( t = 12.23, -14.01, 12.42, -13.86, all P < 0.001). Moreover, the observation group showed significant improvements compared with the control group ( t = 2.04, -2.01, both P < 0.05). At 12 weeks after intervention, both the mild and moderate groups showed improvements in FDA scores and speech clarity score [mild group: (31.41 ± 3.08) points, (82.94 ± 6.97)%, moderate group: (40.08 ± 4.67) points, (70.92 ± 6.26)%] compared with their baseline measurements [mild group: (42.24 ± 6.78) points, (70.53 ± 7.98)%, moderate group: (56.17 ± 4.65) points, (57.58 ± 6.54)%, t = 10.06, -20.25, 45.21, -21.34, all P < 0.001]. There were no significant improvements in the severe group for FDA scores and speech clarity score [(74.20 ± 4.29) points, (38.90 ± 5.80)%] compared with their baseline measurements [(74.50 ± 4.01) points, (37.50 ± 4.74)%, t = 1.96, -1.44, both P > 0.05]. Conclusion:The tele-rehabilitation program can improve post-stroke ataxic dysarthria, particularly showing significant effectiveness for patients with mild to moderate ataxic dysarthria.

Objective:To explore the influencing factors of tuberculosis related health behaviors among college freshmen with health belief model, so as to provide a scientific basis for the intervention of health behaviors among students.Methods:From January to February 2021, the questionnaire survey was conducted among 5 254 college freshmen from 11 universities.The survey included general demographic data, tuberculosis related health behaviors, and tuberculosis related knowledge, disease threat perception and disease policy cognition.The SPSS 23.0 software was used for data analysis, independent sample t-test and one-way ANOVA were used for inter group comparison, and Logistic regression analysis was used to explore the influencing factors of health behavior holding. Results:The total score of tuberculosis related health behaviors among freshmen was 3~12 (11.01±1.10), and the overall holding rate of tuberculosis related health behaviors was higher.Male( B=-0.753, OR(95% CI)=0.471(0.417-0.531)), and tuberculosis history ( B=-1.088, OR(95% CI)=0.337(0.157-0.722)) were risk factors for tuberculosis related health behaviors among freshmen.Birth in city( B=0.117, OR(95% CI)=1.124(0.944-1.338)), father's education level college /undergraduate and above ( B=0.177, OR(95% CI)=1.194(1.024-1.392)), mother's education level high school/secondary school( B=0.356, OR(95% CI)=1.428(1.126-1.810)), college/undergraduate and above( B=0.194, OR(95% CI)=1.214(1.029-1.433)), take the initiative to understand tuberculosis knowledge ( B=0.208, OR(95% CI)=1.231(1.095-1.385)), higher tuberculosis knowledge score ( B=0.088, OR(95% CI)=1.092(1.041-1.145)), higher disease threat perception score ( B=0.082, OR(95% CI)=1.086(1.031-1.144)) and higher disease policy cognition score( B=0.320, OR(95% CI)=1.378(1.265-1.500)) were protective factors for tuberculosis related health behaviors among first-year undergraduates(all P<0.05). Conclusion:The application of health belief model can analyze and explain the influencing factors of tuberculosis-related health behaviors of freshmen, which is helpful to strengthen health education and advocate tuberculosis-related health behaviors.