Objective To analyze the prevalence status of cardiometabolic risk factor (CMRF) and its aggregation among workers engaged in new forms of employment. Methods A total of 5 429 new employment workers (including couriers, online food delivery workers, and ride hailing drivers) who underwent health medical examinations at a tertiary hospital in Beijing City were selected as the research subjects using the judgment sampling method. Data on waist circumference, blood pressure, blood glucose, and blood lipid levels were collected to analyze their CMRF [central obesity, elevated blood pressure, elevated blood glucose, elevated triglycerides, and reduced high-density lipoprotein cholesterol (HDL-C)] and their aggregation (with ≥ 2 of the above 5 risk factors) status. Results The detection rates of central obesity, elevated blood pressure, elevated blood glucose, elevated triglycerides, and reduced HDL-C were 61.2%, 38.2%, 29.5%, 40.9% and 22.6%, respectively. The detection rates of CMRF aggregation was 57.8%. The result of multivariable logistic regression analysis showed that male, age ≥45 years, smoking, overweight, and obesity were risk factors for CMRF aggregation (all P<0.05). Conclusion The detection rate of CMRF and its aggregation among workers with new forms of employment in Beijing City is relatively high. Targeted prevention and control efforts should be strengthened for high-risk populations, especially males, workers aged ≥45 years, smokers, and those who are overweight or obese.

Kleine-Levin Syndrome(KLS)is a rare neurological disease characterized by recurrent episodes of hypersomnia, hyperphagia, hypersexuality, and cognitive and behavioral abnormalities, with complete functional recovery between episodes. Its pathogenesis remains unclear. We report a 33-year-old female with a 17-year clinical course, characterized mainly by recurrent hypersomnia. During episodes, the patient exhibited prominent anorexia, irritability, derealization, and disorientation, followed by brief periods of excitement after episode resolution. Inter-episode periods were entirely normal. Long-term polysomnography monitoring was conducted for a total of 7 792 minutes. Unlike the typical hyperphagia commonly observed in KLS, this case was marked by prominent anorexia, underscoring the clinical heterogeneity of KLS.This report adds to the limited documentation of rare cases in China.

Kleine-Levin Syndrome(KLS)is a rare neurological disease characterized by recurrent episodes of hypersomnia, hyperphagia, hypersexuality, and cognitive and behavioral abnormalities, with complete functional recovery between episodes. Its pathogenesis remains unclear. We report a 33-year-old female with a 17-year clinical course, characterized mainly by recurrent hypersomnia. During episodes, the patient exhibited prominent anorexia, irritability, derealization, and disorientation, followed by brief periods of excitement after episode resolution. Inter-episode periods were entirely normal. Long-term polysomnography monitoring was conducted for a total of 7 792 minutes. Unlike the typical hyperphagia commonly observed in KLS, this case was marked by prominent anorexia, underscoring the clinical heterogeneity of KLS.This report adds to the limited documentation of rare cases in China.

Objective To screen Cuproptosis genes and characteristic genes for differential prognosis in acute mye-loid leukemia(AML)and explore their prognosis in AML as well as their biological roles and correlations in the immune and tumor microenvironment.Methods AML clinical,transcriptome,genomic,and copy number data were downloaded from three major databases,TCGA,GEO,and UCSC,and Cuproptosis genes were collected from published studies.From the perspective of multiomics,the effects of Cuproptosis gene and characteristic gene on survival,immunity,tumor microenvironment,stem cell correlation and drug sensitivity were studied by various bioinformatics methods,meta-analysis and secondary typing.Results One Cuproptosis gene was identified as a differential prognostic gene in AML and five characteristic genes were identified as influencing the prognosis of AML patients by influencing Cuproptosis,and a prognostic model was established.The differential genes were mainly concentrated in mitochondrial activity,REDOX enzyme and energy metabolism.In terms of immunity,macrophage M0,neutrophils,activated memory CD4 T cells and Tregs were positively correlated with risk score,while macro-phage M2,resting mast cells,immature CD4 T cells,helper follicular T cells and memory B cells were negatively correlated with risk score.In terms of tumor microenvironment,the immune cell score of the low-risk group was lower than that of the high-risk group,and in the total score,the tumor microenvironment score of the low-risk group was also lower than that of the high-risk group,indicating that the tumor purity of the high-risk group was lower than that of the low-risk group.However,there was no significant association between stem cells in the high-risk and low-risk groups,and a total of 14 drugs were found to be sensitive to treat AML.Conclusion Cuproptosis gene and characteristic gene are closely related to immune and tumor microenvironment in AML by constructing a prognostic model of AML.

This article reported a patient who initially presented with insomnia complaints and was subsequently diagnosed with severe obstructive sleep apnea （OSA） on polysomnography （PSG）. The patient tried continuous positive airway pressure （CPAP）but gave up because wear the ventilator made it more difficult to fall asleep. Then the patient only received group cognitive behavioral therapy for insomnia （CBT-I）， which not only alleviated insomnia severity but also promoted severe OSA into mild status. Such case suggested that， firstly， due to the high comorbidity of insomnia and OSA， evaluation of OSA should be considered a part worth enough attention of the clinical diagnosis and treatment of insomnia patients. Secondly， by relieving insomnia， CBT-I can alleviate both nocturnal apnea and daytime somnolence in patients with comorbid insomnia and sleep apnoea （COMISA）， so the application of CBT-I should be emphasized in the treatment of such patients. ［Funded by the Central Government-guided Local Science and Technology Development Fund Project （number， 2022ZY0028）］

Objective This study aimed to explore the relationships between residential greenness and cardiometabolic risk factors among rural adults in Xinjiang Uygur Autonomous Region(Xinjiang)and thus provide a theoretical basis and data support for improving the health of residents in this region. Methods We recruited 9,723 adult rural residents from the 51st Regiment of the Third Division of the Xinjiang Production and Construction Corps in September 2016.The normalized difference vegetation index(NDVI)was used to estimate residential greenness.The generalized linear mixed model(GLMM)was used to examine the association between residential greenness and cardiometabolic risk factors. Results Higher residential greenness was associated with lower cardiometabolic risk factor prevalence.After adjustments were made for age,sex,education,and marital status,for each interquartile range(IQR)increase of NDVI500-m,the risk of hypertension was reduced by 10.3%(OR=0.897,95%CI=0.836-0.962),the risk of obesity by 20.5%(OR=0.795,95%CI=0.695-0.910),the risk of type 2 diabetes by 15.1%(OR=0.849,95%CI=0.740-0.974),and the risk of dyslipidemia by 10.5%(OR=0.895,95%CI=0.825-0.971).Risk factor aggregation was reduced by 20.4%(OR=0.796,95%CI=0.716-0.885)for the same.Stratified analysis showed that NDVI500-m was associated more strongly with hypertension,dyslipidemia,and risk factor aggregation among male participants.The association of NDVI500-m with type 2 diabetes was stronger among participants with a higher education level.PM10 and physical activity mediated 1.9%-9.2%of the associations between NDVI500-m and obesity,dyslipidemia,and risk factor aggregation. Conclusion Higher residential greenness has a protective effect against cardiometabolic risk factors among rural residents in Xinjiang.Increasing the area of green space around residences is an effective measure to reduce the burden of cardiometabolic-related diseases among rural residents in Xinjiang.

Objective : A convolutional neural network (CNN) model was established to automatically analyze flow cytometry (FCM) data to achieve the preliminary diagnosis of acute myeloid leukemia(AML) , and explore the feasibility of applying CNN model to FCM data analysis. Methods : The exploratory study of CNN application was carried out using the bone marrow FCM data obtained by the FlowRepository database and the Clinical Testing Center of Xinjiang Uygur Autonomous Region People ′ s Hospital , and the data had been clinically confirmed whether AML was present. Among them , the public data was divided into training sets , validation sets and test sets according to 6 ∶ 2 ∶ 2 , and local data was used for external test; In order to adapt the FCM data to the CNN model , an FCM data structure based on the image matrix principle was proposed , and after preprocessing the original data , the variables related to the preliminary diagnosis of AML were extracted , including sidescattered light and the expression levels of CD45 , CD13 , CD33 , HLA⁃DR , CD117 , CD34 , and each variable was written into the matrix. Cell sampling and data augmentation methods were used to increase the sample size of the training set , the keras software package was used to build the LeNet⁃5 CNN model in Python , and the training set and the validation set were used for model training and parameter tuning respectively to evaluate the performance of the model on the test set. Results : The accuracy of CNN to identify AML on the two test sets was 0. 931 , 0. 851 , the sensitivity was 0. 667 , 0. 636 , the specificity was 0. 968 , 0. 940 , and the area under the receiver operating characteristic curve was 0. 940 and 0. 917. Conclusion Based on the proposed FCM data structure , the CNN model can realize the preliminary diagnosis of AML , indicating that CNN has certain application value in FCM data analysis.

Objective:To establish a patient-derived xenograft (PDX) humanized mouse model for hepatoblastoma in children. In addition, compare the biological consistency between successfully modeled PDX tumors and primary tumors in children while comparing and analyzing the influence of PDX model modeling success as a key factor.Methods:A PDX tumor model was constructed from fresh tumor tissue samples from 39 children with hepatoblastoma. The tumor growth time and volume size were recorded in detail. Simultaneously, 39 children’s data were collected for experimental and clinical analysis. The difference in tumorigenesis rate between different parameters was analyzed by χ2 test (categorical variable). Continuous variables with a normal distribution were compared using the t-test. Results:After cell passage and pathological diagnosis, 21 cases of hepatoblastoma PDX models were successfully constructed, with a success rate of 53.8% (21/39). Tumor samples from each generation of successfully modeled PDX models had pathology results that were consistent with those of the corresponding primary tumors. The analysis of the key factors affecting the tumor formation rate of PDX revealed that the metastasis rate was more successful in primary tumors than in liver in situ tumors (7/8 vs. 14/31, P = 0.049). However, there was no significant difference between tumor formation rates and pathological subtypes. According to the PDX tumor formation group comparison between the primary tumor and the metastatic tumor, there was no statistically significant difference between the two groups in terms of tumor formation time and tumor volume. Hematoxylin-eosin staining in hepatoblastoma’s PDX mouse was consistent with the primary tumor. Immunohistochemistry positivity rates of four proteins, namely hepatocyte antigen (Hepatocyte), phosphatidylinositol glycan 3, β-catenin, and alpha-fetoprotein, in primary tumor tissues and PDX mouse models were 100% vs. 100%, 100% vs. 95.24%, 100% vs. 100%, and 95.24% vs. 85.71%, respectively. Conclusion:A PDX mouse model for hepatoblastoma has been successfully established in children. The tumor formation rate is high, with metastatic tumors having a higher tumor formation rate than primary tumors and transplanted tumors retaining the biological characteristics of primary tumors.

Transcranial direct current stimulation (tDCS) is a well-tolerated, safe and noninvasive physical brain stimulation method, which has been widely used in the treatment of some common mental disorders and neurological diseases and has achieved certain clinical effects. It is necessary to develop expert consensus on clinical treatment to improve the use norms in related fields. According to the clinical research published before August 2021 and the method of evidence-based medicine, we published an expert consensus on tDCS in the treatment of depressive disorders, schizophrenia, substance use-related disorders, obsessive-compulsive disorder, attention deficit hyperactivity disorder, autism, anxiety disorders, post-traumatic stress disorder, sleep disorders, pain, Parkinson′s disease, stroke, and epilepsy. The consensus also introduced the safety and efficacy of the clinical use of tDCS, and standardized the treatment process and operation technology, aiming to provide guidance for the clinical application of tDCS and promote the standardized development of this treatment technology in the future.

Transcranial direct current stimulation (tDCS) is a well-tolerated, safe and noninvasive physical brain stimulation method, which has been widely used in the treatment of some common mental disorders and neurological diseases and has achieved certain clinical effects. It is necessary to develop expert consensus on clinical treatment to improve the use norms in related fields. According to the clinical research published before August 2021 and the method of evidence-based medicine, we published an expert consensus on tDCS in the treatment of depressive disorders, schizophrenia, substance use-related disorders, obsessive-compulsive disorder, attention deficit hyperactivity disorder, autism, anxiety disorders, post-traumatic stress disorder, sleep disorders, pain, Parkinson′s disease, stroke, and epilepsy. The consensus also introduced the safety and efficacy of the clinical use of tDCS, and standardized the treatment process and operation technology, aiming to provide guidance for the clinical application of tDCS and promote the standardized development of this treatment technology in the future.