BACKGROUND:The pathogenesis of moyamoya disease is unclear,and there is a lack of early diagnostic methods and effective medical treatments.OBJECTIVE:To identify biomarkers of moyamoya disease through machine learning,and analyze the therapeutic mechanism of Bu Huang Si Wu Tang in moyamoya disease.METHODS:Moyamoya disease gene dataset from gene expression omnibus database was retrieved.R language was used to screen differentially expressed genes and perform enrichment analysis on differentially expressed genes.Moyamoya disease biomarkers were screened using least absolute shrinkage and selection operator and support vector machine-recursive feature elimination machine learning algorithms.A diagnostic model was constructed by establishing a column chart,and its clinical utility and diagnostic value were evaluated and further validated through detecting clinical serum markers of patients with moyamoya disease.In vitro experiments were performed to observe the effect of Bu Huang Si Wu Tang on umbilical vein endothelial cells under oxygen glucose deprivation,and the main components of Bu Huang Si Wu Tang were selected for molecular docking and molecular dynamics simulation with the screened targets to explore its potential mechanism.RESULTS AND CONCLUSION:This study identified 76 differentially expressed genes,mainly enriched in immune and metabolic related pathways.Two potential biomarkers,complement factor D(CFD)and DKFZp434L192,were obtained through machine learning.The calibration curve,decision curve analysis,and clinical impact curve showed that the column chart had good predictive ability.qRT-PCR analysis showed that CFD and DKFZp434L192 expression levels were significantly upregulated in patients with moyamoya disease(P<0.001).In vitro experiments showed that Bu Huang Si Wu Tang significantly enhanced the activity and migration ability(P<0.01)of umbilical vein endothelial cells under oxygen glucose deprivation.Molecular docking results showed that all four active ingredients of Bu Huang Si Wu Tang could bind to the target site,and the dynamic simulation results further verified its binding stability.To conclude,CFD and DKFZp434L192 exhibit good diagnostic efficacy for moyamoya disease and can serve as potential diagnostic biomarkers and therapeutic targets for moyamoya disease.Bu Huang Si Wu Tang has a certain protective effect on vascular endothelial cells under ischemic conditions,which may be related to CFD.

BACKGROUND:The pathogenesis of moyamoya disease is unclear,and there is a lack of early diagnostic methods and effective medical treatments.OBJECTIVE:To identify biomarkers of moyamoya disease through machine learning,and analyze the therapeutic mechanism of Bu Huang Si Wu Tang in moyamoya disease.METHODS:Moyamoya disease gene dataset from gene expression omnibus database was retrieved.R language was used to screen differentially expressed genes and perform enrichment analysis on differentially expressed genes.Moyamoya disease biomarkers were screened using least absolute shrinkage and selection operator and support vector machine-recursive feature elimination machine learning algorithms.A diagnostic model was constructed by establishing a column chart,and its clinical utility and diagnostic value were evaluated and further validated through detecting clinical serum markers of patients with moyamoya disease.In vitro experiments were performed to observe the effect of Bu Huang Si Wu Tang on umbilical vein endothelial cells under oxygen glucose deprivation,and the main components of Bu Huang Si Wu Tang were selected for molecular docking and molecular dynamics simulation with the screened targets to explore its potential mechanism.RESULTS AND CONCLUSION:This study identified 76 differentially expressed genes,mainly enriched in immune and metabolic related pathways.Two potential biomarkers,complement factor D(CFD)and DKFZp434L192,were obtained through machine learning.The calibration curve,decision curve analysis,and clinical impact curve showed that the column chart had good predictive ability.qRT-PCR analysis showed that CFD and DKFZp434L192 expression levels were significantly upregulated in patients with moyamoya disease(P<0.001).In vitro experiments showed that Bu Huang Si Wu Tang significantly enhanced the activity and migration ability(P<0.01)of umbilical vein endothelial cells under oxygen glucose deprivation.Molecular docking results showed that all four active ingredients of Bu Huang Si Wu Tang could bind to the target site,and the dynamic simulation results further verified its binding stability.To conclude,CFD and DKFZp434L192 exhibit good diagnostic efficacy for moyamoya disease and can serve as potential diagnostic biomarkers and therapeutic targets for moyamoya disease.Bu Huang Si Wu Tang has a certain protective effect on vascular endothelial cells under ischemic conditions,which may be related to CFD.

Objective:To retrospectively analyze the efficiency of laparoscopic and endoscopic cooperative surgery(LECS)for early gastric cancer treatment.Methods:We retrospectively collected data from patients with early gastric cancer who underwent LECS at the Peking University Cancer Hospital&Institute between May,2013 and April,2024.Patients underwent endoscopic submucosal dissection(ESD)with laparoscopic lymph node biopsy,classical LECS,and other modified procedures.Additionally,clinical and pathological characteristics,post-operative recovery indicators,complications,and survival outcomes of the patients were analyzed.Results:Nine patients(median age:64 years),including six male(66.7% )and three female(33.3% )patients,were involved in this study.Biopsy revealed that all patients had well-differentiated gastric cancer.Five patients(55.6% )underwent ESD with laparoscopic lymph node biopsy,and four patients(44.4% )under-went laparoscopically assisted endoscopic full-thickness resection and sentinel lymph node biopsy.Average anesthesia time was(351.2±91.4)min,and average blood loss was(34.4±15.1)mL.After surgery,three patients(33.3% )experienced complications,with one case each of gastric stasis(CD2),intra-abdominal infection(CD2),and gastrointestinal perforation(CD3).The median follow-up time was 52 months,and no cases of disease recurrence or death were observed.Conclusions:Overall,this study highlights the efficiency of LECS for early gastric cancer treatment.Future studies should assess its oncological safety,along with other technical aspects,patient selection criter-ia,and accuracy of sentinel lymph node biopsy,to facilitate widespread application of LECS.

Objective:To investigate the incidence characteristics and influencing factors of non-alcoholic fatty liver disease (NAFLD) in rural Uyghur ethnic group residents in Xinjiang Production and Construction Corps and to provide scientific evidence for early identification and prevention of NAFLD for residents.Methods:A total of 10 158 participants were included from the Xinjiang Uygur ethnic group population cohort. A prospective cohort study and Cox proportional hazards regression model analysis were used to explore the influencing factors and clustering of NAFLD, and the dose-response relationship between related biochemical indicators and the risk of NAFLD was studied using a restricted cubic spline.Results:The cumulative incidence rate of NAFLD was 6.9%, and the incidence density of NAFLD was 12.06/1 000 person-years. The incidence density of NAFLD in females was higher than in males (14.72/1 000 person-years vs. 9.17/1 000 person-years, P<0.001). The incidence density of NAFLD gradually increased with age in the total population, both men and women (all P<0.001). In the general population, an education level of junior high school or above was a protective factor for NAFLD, while older age, divorce, widowhood, overweight, obesity, hypertension, increased glomerular filtration rate, decreased HDL-C, increased LDL-C, and increased ALT were risk factors for NAFLD. Estimated glomerular filtration rate (eGFR), HDL-C, LDL-C, and ALT were non-linearly correlated with the incidence of NAFLD, and there was a significant dose-response relationship between them. Only 19.1% of residents had no NAFLD risk factors; over 80.9% had ≥1 NAFLD risk factors. The risk of NAFLD increased with the number of risk factors. Conclusions:The incidence of NAFLD in rural Uygur ethnic group residents in Xinjiang Production and Construction Corps was relatively low, but most residents had one or more risk factors for NAFLD. Prevention and control of NAFLD in this population cannot be ignored. In addition, people of older age, divorced or widowed, low education level, overweight or obese, hypertension, and abnormal eGFR, HDL-C, LDL-C, and ALT were the high-risk groups of NAFLD that need to be paid attention to in this population.

Objective:To stratify systemic lupus erythematosus(SLE)patients clinically,to analyze the clinical characteristics of patients with and without disease activity,and to explore the application va-lue of key clinical indicators in assessing disease activity,as well as to construct an evaluation model.Methods:A retrospective analysis was conducted on clinical data of the SLE patients diagnosed at Peking University People's Hospital from May 1995 to April 2014.Demographic information,clinical manifesta-tions,laboratory tests,and antibody detection results were collected.The patients were divided into ac-tive and inactive groups based on systemic lupus erythematosus disease activity index 2000(SLEDAI-2000)scores.t-tests,Mann-Whitney U tests,andx2tests were used to compare the differences between the groups.Spearman correlation analysis was used to evaluate the relevant clinical indicators associated with SLE activity in the active disease group.Based on the results of statistical analysis,a Logistic re-gression model was constructed,and the performance of the model was evaluated.Results:No significant differences were found in demographic characteristics between the two groups.In the active disease group,positive rates of antinuclear antibodies(ANA)and anti-double-stranded DNA antibodies(anti-dsDNA)were increased;white blood cell count(WBC),red blood cell count(RBC),hemoglobin(HGB),lymphocytes(LY),total protein(TP),albumin(ALB),and complement 3(C3)levels were significantly decreased;while immunoglobulin A and G levels were markedly elevated.The correlation analysis results showed that hemoglobin,albumin,C3,and complement 4(C4)had higher correlation indices compared with other clinical indicators.Among these,C3 exhibited a certain negative correlation with disease activity.The Logistic regression model based on 12 significantly different indicators(P＜0.05)achieved an accuracy of 91.4％,sensitivity of 94.4％,specificity of 81.0％,and the area under curve(AUC)of the receiver operating characteristic(ROC)was 0.944.Conclusion:This study com-prehensively evaluated a range of clinical indicators related to SLE disease activity,providing a thorough understanding of both laboratory and clinical markers.The Logistic regression model,which was primari-ly constructed using laboratory test indicators,such as inflammatory markers,immune response parame-ters,and organ involvement metrics,demonstrated a high degree of accuracy in assessing the disease ac-tivity in SLE patients.Consequently,this model might provide a new basis for the diagnosis and treatment of SLE patients,offering significant clinical diagnostic value.

Objective:To investigate the association of cardiovascular diseases (CVD) with triglyceride glucose index (TyG) and TyG-related indicators in Uyghur populations of The Xinjiang Production and Construction Corps.Methods:Based on the cohort of the Uygur population of The Xinjiang Production and Construction Corps, 11 833 study subjects were included. The Kaplan-Meier method was used to estimate the cumulative incidence of CVD in each quartile of TyG and TyG-related indicators. Cox proportional hazards regression model was used to evaluate the relationship between TyG and CVD, TyG-related indicators and CVD. Framingham CVD risk score model (Framingham model) was used to evaluate whether the addition of TyG and TyG-related indicators could improve the predictive ability of the model. The potential mediating role of the TyG in the association between obesity and CVD was examined through mediation effect analysis.Results:The average age of the subjects was (37.00±13.67) years-old, and 51.0% were male. The median follow-up time was 5.67 years, with 1 288 CVD events. The cumulative incidence of CVD increased with the increase of TyG and TyG-related indicators quartiles, and compared with the Q1 group, the risk of CVD in the Q4 group of TyG, TyG-BMI, and TyG-WHtR increased by 20% ( HR=1.20, 95% CI: 1.01-1.42), 77% ( HR=1.77, 95% CI: 1.46-2.16) and 68% ( HR=1.68, 95% CI: 1.36-2.09), respectively. After adding TyG, TyG-BMI, and TyG-WHtR to the Framingham model, respectively, the model's area under the curve, net reclassification improvement, and integrated discrimination improvement were improved. In the association between BMI, WHtR, and CVD, the proportion of mediating effects mediated by the TyG index was 10.55% and 11.50%. Conclusions:Elevated levels of TyG and TyG-related indicators were strongly associated with the risk of CVD in the Uyghur population of The Xinjiang Production and Construction Corps, with TyG-BMI being the most closely correlated with CVD. Early monitoring of TyG-BMI helps identify high-risk groups of CVD.

ObjectiveTo investigate the association between ZJU index and the onset of nonalcoholic fatty liver disease （NAFLD） in the Uygur population and the value of ZJU index in predicting the risk of NAFLD. MethodsThe Uighur community of The 51st Regiment of The Third Division of Xinjiang Kashgar Corps was selected as the investigation site， and the Uygur residents who lived in this area and had an age of >18 years were selected as subjects. Follow-up studies were conducted in 2019， 2020， and 2021， and the investigation of outcomes was completed in June to August of 2021. Finally 10 597 subjects were enrolled for analysis. The Kruskal-Wallis H test was used for comparison of continuous variables between groups， and the chi-square test was used for comparison of categorical variables between groups. The subjects were divided into Q1-Q4 groups according to the level of ZJU index. The Kaplan-Meier curve was used to predict the incidence rate of NAFLD， and the Cox regression model was used to analyze the association between ZJU index and the risk of NAFLD； the area under the ROC curve （AUC） was used to evaluate the value of ZJU index in predicting the risk of NAFLD. ResultsDuring the median follow-up time of 4.92 years， the incidence rate of NAFLD was 9.4% （992/10 597） among the study population. After adjustment for multiple factors， there was a significant increase in the risk of NAFLD with the increase in ZJU index， with a hazard ratio of 2.55 （95% confidence interval ［CI］： 1.60‍ — ‍4.06）， 7.32 （95%CI： 4.78‍ — ‍11.20）， and 21.74 （95%CI： 14.32‍ — ‍33.00）， respectively （all P_trend<0.001）. The ROC curve showed that ZJU index had a higher value in predicting NAFLD （AUC=0.816）， and the male subgroup had a significantly higher predictive accuracy of ZJU index than the female subgroup （AUC： 0.829 vs 0.809）. ConclusionZJU index is a predictive factor for the onset of NAFLD in the Uygur population in rural areas of Xinjiang and has a good value in predicting the risk of NAFLD.

Objective:To analyze whether triglyceride-glucose (TyG) index is associated with increased risk of cardiovascular diseases (CVD) and the value of TyG index in predicting CVD risk among Kazakh and Uighur population of Xinjiang.Methods:In this study, 5 375 Kazakh and Uygur people of Xinyuan county and Jiashi county were selected as the research objects. Subjects were divided into four groups based on the quartile of the TyG index level. Cox regression model was used to analyze the association between TyG index with the risk of CVD. The dose-response relationship between TyG index and CVD risk was described by restricted cubic splines. The area under the receiver operating characteristic curve, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were used to estimate the value of TyG index for predicting CVD. Mediating effect analysis was conducted to analyze the mediating effect of TyG index in the association between body mass index and CVD.Results:The age of subjects was 41.06（30.11，53.00）years old, with 46.30%（2 489/5 375）was male. After multivariate adjustment, there was an increasing trend between the risk of CVD and the higher TyG index Ptrend<0.001, compared with subjects of TyG index in Q1, the HR (95% CI) of Q2, Q3, and Q4 groups was 1.53, 1.23 and 1.73, respectively. Restricted cubic splines showed that TyG index was the linearly associated with the risk of CVD. TyG index could improve the prediction ability of Framingham model for the risk of CVD (NRI=0.106, P=0.010; IDI=0.003, P=0.030). The mediating effect analysis showed that in the relationship between body mass index and CVD, the TyG index had a mediating effect ( P<0.001), and the ratio of mediating effect was 12.69%. Conclusion:TyG index is an independent predictor of CVD risk among kazakh and Uygur population in Xinjiang and has a good predictive value for the risk of CVD.

Objective:To analyze whether triglyceride-glucose (TyG) index is associated with increased risk of cardiovascular diseases (CVD) and the value of TyG index in predicting CVD risk among Kazakh and Uighur population of Xinjiang.Methods:In this study, 5 375 Kazakh and Uygur people of Xinyuan county and Jiashi county were selected as the research objects. Subjects were divided into four groups based on the quartile of the TyG index level. Cox regression model was used to analyze the association between TyG index with the risk of CVD. The dose-response relationship between TyG index and CVD risk was described by restricted cubic splines. The area under the receiver operating characteristic curve, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were used to estimate the value of TyG index for predicting CVD. Mediating effect analysis was conducted to analyze the mediating effect of TyG index in the association between body mass index and CVD.Results:The age of subjects was 41.06（30.11，53.00）years old, with 46.30%（2 489/5 375）was male. After multivariate adjustment, there was an increasing trend between the risk of CVD and the higher TyG index Ptrend<0.001, compared with subjects of TyG index in Q1, the HR (95% CI) of Q2, Q3, and Q4 groups was 1.53, 1.23 and 1.73, respectively. Restricted cubic splines showed that TyG index was the linearly associated with the risk of CVD. TyG index could improve the prediction ability of Framingham model for the risk of CVD (NRI=0.106, P=0.010; IDI=0.003, P=0.030). The mediating effect analysis showed that in the relationship between body mass index and CVD, the TyG index had a mediating effect ( P<0.001), and the ratio of mediating effect was 12.69%. Conclusion:TyG index is an independent predictor of CVD risk among kazakh and Uygur population in Xinjiang and has a good predictive value for the risk of CVD.

Since the outbreak of Corona Virus Disease 2019 occurred in December 2019, the reduction of population mobility has curbed the spread of the epidemic to some extent but also prolonged the waiting time for the treatment of patients with gastric cancer. Based on fully understanding the different staging characteristics of gastric cancer, clinical departments should develop reasonable out-of-hospital management strategies. On one hand, reasonable communication channels should be established to allow patients to receive adequate guidance out of the hospital. On the other hand, shared decisions with patients should be made to adjust treatment strategies, and education on viral prevention should be implemented to minimize the impact of the epidemic on tumor treatment.