ObjectiveTo investigate the relationship between solute carrier family 7 member 11 （SLC7A11） expression in esophageal squamous cell carcinoma （ESCC） and clinical prognosis， and to determine its effects on ESCC cell growth， migration， and other biological activities. MethodsSLC7A11 protein expression was measured in 310 ESCC tissues and 259 adjacent normal tissues using immunohistochemistry to statistically assess the association of SLC7A11 with clinicopathologic characteristics and prognosis in ESCC patients. The expression of SLC7A11 in ESCC cell lines was suppressed through siRNA-mediated knockdown. The specific effects of SLC7A11 knockdown on proliferation and migration were evaluated using CCK-8， clonogenic assay， and Transwell assays. Adenosine triphosphate （ATP）， lactic acid and pyruvate assays were used to measure ESCC metabolism. ResultsSLC7A11 protein expression was localized predominantly in the cytoplasm of ESCC tissues. Significantly higher SLC7A11 expression levels were observed in ESCC tissues compared to adjacent normal tissues （P<0.001）. High SLC7A11 expression was associated with poorer differentiation in patients （P<0.01）. Kaplan-Meier survival analysis demonstrated significantly shorter overall survival in patients with high SLC7A11 expression compared to those with low expression （P<0.05）. CCK-8 and colony formation assays demonstrated that the knockdown of SLC7A11 expression significantly suppressed the proliferative capacity of tumor cells （P<0.001）. Furthermore， Transwell assays revealed a marked decline in tumor cell migration capacity following SLC7A11 suppression （P<0.001）. Critically， SLC7A11 knockdown also reduced intracellular levels of ATP， lactate， and pyruvate， demonstrating that SLC7A11 modulated metabolic activity in ESCC cells（P<0.001）. ConclusionThe expression level of SLC7A11 is relatively high in ESCC and is strongly associated with poor prognosis. Silencing SLC7A11 significantly inhibits esophageal cancer cell growth and migration. SLC7A11 has the ability to regulate glucose， lactic acid and ATP metabolism levels in ESCC， thereby affecting the metabolic microenvironment of ESCC.

Objective To explore the impact of suture configuration and fixation type on the biome-chanical strength of rotator cuff repair,using a factorial design study.Methods Sixteen fresh-frozen porcine shoulder samples were randomized into an anchorless double-row suture bridge transosseous su-tures(DS)group,an anchored double-row suture bridge transosseous-equivalent(DE)group,an an-chorless X-BOX construct transosseous sutures(XS)group,and an anchored X-BOX construct transos-seous-equivalent(XE)group,each of four,according to suture configuration(double-row suture bridge,traditional X-BOX construct)and fixation type(suture anchors,transosseous sutures).Then,their fatigue resistance(first-cycle excursion,gap length difference ratio,and the percentage of ex-posed footprints)and the failure strength(the maximum failure load and the re-tear type)were mea-sured using a biomechanical material testing machine.Results Different suture configurations affected failure strength(F=39.559,P<0.001),with the double-row suture bridge groups(693.07±58.35 N,746.76±138.57 N)showing significantly higher failure strength,compared to the traditional X-BOX groups(462.90±18.91 N,421.43±90.76 N).However,the fixation type did not significantly im-pact failure strength(F=1.161,P=0.302).Moreover,the suture configuration influenced the gap differ-ence ratio(F=7.781,P=0.016),but had no significant correlation with other fatigue resistance indica-tors(P>0.05).Meanwhile,failure strength and fatigue resistance were not correlated with fixation type,and the interaction between suture and fixation type(P>0.05).The incidence of failure types for the four suture configurations was as follows:Type I tendon tear:XS>XE>DS=DE;type II tendon tear:DS>XE>XS=DE;fixing material-related failure:DE>DS=XE=XS.Conclusion The failure strength and gap formation ratio in rotator cuff repair under fatigue loading are influenced by suture configuration,whereas no significant association has been observed with respect to fixation method,whether using transosseous sutures or suture anchors.

Objective:To investigate the relationship between Triglyceride Glucose-WHR index and retinal arteriosclerosis.Methods:Retrospective longitudinal cohort research method. Using data from the Tongren Health Care Study of Beijing Tongren Hospital from March 2014 to June 2020. The TyG-WHR index was calculated, the restricted cubic spine regression model was used to explore the dose-response relationship between TyG-WHR index and the risk of retinal arteriosclerosis. Cox proportional regression model was implemented to estimate the impact on the risk of retinal arteriosclerosis associated with the different TyG-WHR groups. Receiver operating characteristic were used to explore the value of triglyceride glucose-WHR index for the risk of retinal arteriosclerosis.Results:A total of 8 215 subjects were included, including 3 334 (40.58%) males, 4 881 (59.42%) females;7 689 cases had normal fundus, 296 cases had newly developed retinal arteriosclerosis, and 230 cases had retinal arteriosclerosis. The median age is 45 years old, and the average age is (47.63±13.89) years old. The cumulative incidence rate of new retinal arteriosclerosis was 3.71%(296/7 985), and the cumulative incidence rate of women (3.31%,158/4 767) was lower than that of men (4.29%, 138/3 218) ( χ2=5.105, P<0.001); The cumulative incidence rate of new retinal arteriosclerosis increased with age ( χ2=365.133, P<0.001); The TyG-WHR index was divided into four groups according to the interquartile range, and the Q2- Q4 group had an increased risk of developing new retinal arteriosclerosis compared to Q1 ( χ2=132.887, P<0.001).In the restricted cubic spine regression model, the results showed a non-linear dose-response relationship ( χ2=54.27, P<0.001) between baseline TyG-WHR index and the new-onset of retinal arteriosclerosis. By the multivariate Cox Regression models, three models were constructed in this study. TyG-WHR index was positively correlated with the risk of retinal arteriosclerosis: the HR (95% CI) of model 1-3 was 1.534,1.517 and 1.502.The AUC curve analysis verified that the prediction AUC of the TyG-WHR index for new-onset retinal arteriosclerosis was 0.755, the best prediction value was 7.343, the sensitivity was 90.2%, and the specificity was 75.60%. Conclusion:TyG-WHR index may be an independent risk factor for new-onset retinal arteriosclerosis.

Objective To observe the value of the integrated model of MR high-resolution vascular wall imaging(HR-VWI)and attention mechanism for predicting stroke recurrence in symptomatic intracranial atherosclerotic stenosis(sICAS)patients.Methods A total of 363 patients with sICAS who underwent HR-VWI were enrolled and stratified into training set(n=254)and validation set(n=109)according to their origins.Employing a radiomics model that utilized HR-VWI T1 and contrast-enhanced sequences for feature extraction,image data were captured from relevant plaques.Subsequently,a Trans model was developed by integrating the Transformer attention mechanism.The predictive performance and clinical utility of conventional radiomics models and Trans models for forecasting stroke recurrence among patients with sICAS were evaluated.Results In training set and validation set,the area under the curve of Trans model for predicting stroke recurrence in sICAS patients was 0.992 and 0.988,respectively,both superior to that of T1 model,T1 enhanced model and dual sequence model(all P＜0.05).The calibration curve and decision curve analysis showed that Trans model had good predictive probability and clinical practicality.Conclusion The obtained integrated model of HR-VWI radiomics combined with attention mechanism had certain value for predicting stroke recurrence in patients with sICAS.

Objective To explore the effects of different nerve blocks under ultrasound guidance on the expression of inflammatory factors after total hip replacement in the elderly,and its correlation with postoperative cognitive dysfunction(POCD).Methods A total of 100 elderly patients who underwent total hip replacement in our hospital from February to November 2023 were selected as the research objects,and they were divided into the femoral nerve block(FNB)group and the pericapsule nerve group block(PNGB)group according to different nerve block methods during the operation.The expression of inflammatory factors such as serum interleukin-1β(IL-1β),interleukin-6(IL-6),interleukin-10(IL-10),tumor necrosis factor-α(TNF-α)and tumor necrosis factor-β(TNF-β)1 day before surgery,6 hours after anesthesia,1 day after surgery,and 3 days after surgery of patients in the two groups were compared.The cognitive function of patients was evaluated by the mini-mental state examination(MMSE)score,and the pain of patients was evaluated by visual analogue scale(VAS)score.GEE model was used to evaluate the effects of two kinds of nerve block on the expression of inflammatory factors.Logistic regression was used to analyzed the correlation between postoperative inflammatory factors and POCD in patients.Results The levels of IL-1β,IL-6,IL-10,TNF-α and TNF-β 1 day after operation in the PNGB group were higher than those in the FNB group,and the differences were statistically significant(P<0.05).The MMSE score 1 day after surgery in the PNGB group was significantly higher than that in the FNB group(P<0.05),and the VAS score 3 days after surgery was significantly lower than that in the FNB group(P<0.05).GEE model showed that PNGB has a greater impact on IL-1β,IL-6,IL-10,TNF-α,and TNF-β.IL-1β,IL-6,IL-10,TNF-α,and TNF-β were all independently related to POCD induced by two different nerve blocks(P<0.05).Conclusion PNGB can effectively inhibit pro-inflammatory factors,reduce inflammatory stress responses,and maintain the balance of inflammatory factors.Inflammatory factors are independently related to POCD induced by different nerve blocks.With the occurrence of inflammatory stress response,the risk of POCD in patients increases.

Objective To observe the value of the integrated model of MR high-resolution vascular wall imaging(HR-VWI)and attention mechanism for predicting stroke recurrence in symptomatic intracranial atherosclerotic stenosis(sICAS)patients.Methods A total of 363 patients with sICAS who underwent HR-VWI were enrolled and stratified into training set(n=254)and validation set(n=109)according to their origins.Employing a radiomics model that utilized HR-VWI T1 and contrast-enhanced sequences for feature extraction,image data were captured from relevant plaques.Subsequently,a Trans model was developed by integrating the Transformer attention mechanism.The predictive performance and clinical utility of conventional radiomics models and Trans models for forecasting stroke recurrence among patients with sICAS were evaluated.Results In training set and validation set,the area under the curve of Trans model for predicting stroke recurrence in sICAS patients was 0.992 and 0.988,respectively,both superior to that of T1 model,T1 enhanced model and dual sequence model(all P＜0.05).The calibration curve and decision curve analysis showed that Trans model had good predictive probability and clinical practicality.Conclusion The obtained integrated model of HR-VWI radiomics combined with attention mechanism had certain value for predicting stroke recurrence in patients with sICAS.

Objective:To compare the safety, number of lymph nodes removed, rate of lymph node metastasis, and prognosis between proximal gastrectomy (PG) and total gastrectomy (TG) in patients with Siewert types II and III adenocarcinoma of the esophagogastric junction.Methods:In this retrospective cohort study, clinical data of patients diagnosed with adenocarcinoma of the esophagogastric junction at Changzhi People's Hospital, affiliated with Changzhi Medical College, between December 2019 and November 2022, were collected. Patients who had received neoadjuvant therapy, had multiple malignant lesions in the stomach, had concomitant malignancies in other organs, had incomplete clinical data, or had been lost to follow-up were excluded. The study cohort comprised 308 patients, 99 in the PG group and 209 in the TG group. To reduce confounding bias, propensity score matching was performed, matching patients for age, sex, body mass index, tumor diameter, and pathological stage in a 1:1 ratio, resulting in 73 patients in each group. The primary outcomes assessed were operative details, number of lymph nodes dissected, rate of lymph node metastasis, postoperative complications, duration of hospital stay, and follow-up and survival outcomes.Results:The PG group had a significantly shorter median operative time than did the TG group (250 vs. 280 minutes, Z = -4.970, P<0.001), with fewer cases of intraoperative blood loss >100 mL (30.1%[22/73] vs. 46.6%[34/73], χ2=4.171, P=0.041), and a smaller number of lymph nodes removed (median 33 vs. 46, Z =-4.774, P<0.001); all of these differences are statistically significant (all P<0.05). Differences between the two groups in postoperative hospital stay and postoperative complications were not statistically significant (both P>0.05). Furthermore, no statistically significant differences were found between the PG and TG groups in the number of lymph nodes dissected or the lymph node metastasis rates at stations No. 1, No. 2, No. 3, No. 4sa, No. 4sb, and No. 7 (all P> 0.05). Among the 209 patients in the TG group, analysis of risk factors for metastasis to distal perigastric lymph nodes (No.4d, No.5, and No.6) showed that patients with tumor diameters ≤4 cm and T1–T3 stage disease had significantly lower rates of metastasis to these lymph nodes than did patients with tumor diameters >4 cm and/or T4 stage disease (0/78 vs. 12/131 [9.2%]); these differences are statistically significant ( P=0.014). The median duration of follow-up for the entire cohort was 26 months. The 3-year overall survival rates for the PG and TG groups were 62.5% and 63.3%, respectively; this difference is not statistically significant (χ 2=0.330, P = 0.565). Multivariate analysis showed that older age ( P = 0.035) and advanced pathological stage ( P = 0.018) were significant independent risk factors that affected overall survival in patients with Siewert type II and III adenocarcinoma of the esophagogastric junction. Conclusions:PG is safe and feasible for patients with Siewert types II and III adenocarcinoma of the esophagogastric junction. The number of lymph nodes dissected and metastasis status were similar in the TG and PG groups.

Objective:This study aims to construct a monitoring index system for early child development(ECD)that is consistent with China's actual situation,to scientifically and systematically evaluate the level of ECD and service capacity in various regions.Methods:The study was predicated on the theoretical foundation of the Nutrition Care Framework(NCF).Indicators were initially selected through a literature review and focus group interviews.The evaluation indicators were then determined through two rounds of expert consultation utilising the Delphi method.The Priority Sequence Diagram Method(PSDM)was subsequently implemented to determine indicator weights.Results:The final framework encompasses six first-level indicators(good health,adequate nutrition,responsive caregiving,opportunities for learning,security and safety,and demand and investment),12 second-level indicators,and 31 third-level indicators.Conclusion:The ECD index system constructed in this study integrates macro,meso,and micro levels,emphasises cross-sectoral collaboration and attention to child caregivers,and incorporates equity indicators to measure regional disparities.The research outcomes provide a reference for quantitatively assessing the level of ECD and service capacity across various regions in China.By leveraging mechanisms for cross-sectoral collaboration and goal-oriented approaches,the study provides a framework for the allocation of resources to key areas,thus laying the foundation for the sustained implementation and resource assurance of the child-priority development strategy.

Objective To develop an animal model that replicates the clinical phenotype of severe asthma.Methods Ovalbumin(OVA)combined with IL-33 or varying doses of lipopolysaccharides(LPS)was used to explore the construction of a severe asthma mouse model.Established model animals were assessed for lung function,number of inflammatory cells,and lung tissue pathology were assessed.Expression of key genes associated with severe asthma identified from the GEO database were validated in the new model.Results Compared with OVA alone,OVA combined with IL-33 or 5 μg LPS significantly increased airway resistance and the number of inflammatory cells in bronchoalveolar lavage fluid,and aggravated the pathological damage to lung tissues.The expression patterns of key genes in the newly constructed severe asthma models were consistent with those observed in clinical patients with severe asthma.Conclusions The modeling method of combining OVA with IL-33 or LPS(5 μg)can be used to construct experimentalanimal models of severe asthma.

BACKGROUND:Cervical instability is a common orthopedic disease in young and middle-aged people,and is the early manifestation of cervical spondylosis,which has a great impact on the quality of life of patients.Therefore,early diagnosis of cervical instability to implement early intervention has positive clinical and social significance.OBJECTIVE:The clinical prediction model of cervical instability in young and middle-aged people was constructed based on machine learning to realize early screening of cervical instability in young and middle-aged people before X-ray examination.METHODS:From September 2022 to October 2023,155 young and middle-aged adults with cervical instability and 88 with non-cervical instability recruited through recruitment advertisements and spinal department outpatient of Wangjing Hospital,China Academy of Chinese Medical Sciences were selected as research subjects.The research subjects'general information,living and working habits,discomfort symptoms,visual analog scale score,Neck Disability Index,and 36-ltem Short Form Health Survey were collected on site based on questionnaires.The above information was used as predictive factors.After screening,six machine learning algorithms of Support Vector Machine,LightGBM,RandomForest,Logistic,AdaBoost,and XGBClassifier were used to train the model by ten-fold cross-validation method,and the clinical prediction model of cervical instability was constructed.Area under the curve was used as the main evaluation index.Univariate analysis was performed on the predictors,and SHAP method was used to rank the importance of the predictors.Correlation heat maps were used to show the degree of linear correlation between the predictors and the cervical instability.RESULTS AND CONCLUSION:(1)Among the six machine learning models,RandomForest model was chosen as the final prediction model,including nine predictors,such as age,body mass index,neck circumference/neck length,visual analog scale score,Neck Disability Index,bodily pain,general health,vitality,and mental health,area under the curve=0.725 4,and the calibration degree was good.It could be used as a reference tool for early screening of cervical instability in young and middle-aged people.(2)There were significant differences in age,visual analog scale score,Neck Disability Index,bodily pain,general health,and vitality between the two groups(P＜0.05).(3)The order of importance of predictors was age,Neck Disability Index,visual analog scale score,general health,body mass index,vitality,bodily pain,neck circumference/neck length,mental health,among which age,visual analog scale score,Neck Disability Index were positively correlated with cervical instability,while general health,body mass index,vitality,bodily pain,neck circumference/neck length,and mental health were negatively correlated with cervical instability.