Objective: To investigate the impact of milk and egg supplementation on body composition and bone mineral density of rural primary school students in Yunnan Province, so as to provide a reference for developing targeted nutritional intervention strategies. Methods: In December 2023, a cluster sampling method was adopted to select students from grades one to three in four primary schools each from Jinggu and Shidian countys of Yunnan Province, as the intervention group (662 students). Additionally, two boarding primary schools were selected from each county based on the principle of matching scale and student numbers as the control group (455 students). Starting from April 2023, the intervention group received 200 mL milk and 50 g eggs during the break on school days for 8 months, while the control group maintained their usual diet behavior. Body composition was measured by using bioelectrical impedance analysis, and distal radial bone mineral density was assessed via dual energy X-ray absorptiometry in April and December 2023. The intervention effects were analyzed by using a difference in-differences approach. Results: The final measurements of body fat percentage, skeletal muscle mass and fat free mass of the intervention group and the control group of primary school students were significantly higher than the baseline values, and the net effect of milk and egg intervention on these body composition indicators was not statistically significant ( P >0.05, both before and after adjustment). In contrast, bone mineral density increased significantly by 0.02 g/cm 2 in the intervention group. The net intervention effect on bone mineral density was statistically significant ( β=0.02, 95%CI =0.00-0.04), and remained significant after model adjustment ( β=0.02, 95%CI =0.00-0.04) (both P < 0.05). Subgroup analysis showed statistically significant effects of the intervention among girls ( β=0.02, 95%CI =0.00-0.04), day students ( β=0.04, 95%CI =0.01-0.07), and students with normal nutritional status ( β=0.02, 95%CI =0.00-0.04) (all P <0.05). No significant effect of milk and egg supplementation was observed on body composition indicators (all P <0.05). Conclusions Milk and egg supplementation can improve bone mineral density among rural primary school students in Yunnan Province. It is recommended that rural school aged children should increase intake of milk and eggs to support growth and development.

Clinically,carotid atherosclerotic stenosis(CASS)is an important cause of stroke in China.The optimal treatment option for asymptomatic carotid atherosclerotic stenosis(ACAS)has not been conclusive,which is still a hot issue in recent years.With the development of endovascular interventional technique,and patient's higher requirements for recovery speed and comfort level,the carotid artery stenting(CAS)has been used more frequently than carotid endarterectomy(CEA).Therefore,the relative benefit of CAS for the treatment of ACAS requires further evaluation.This paper aims to make a comprehensive review about CAS for the treatment of ACAS,focusing on the indications,efficacy,complications and factors affecting curative efficacy,so as to provide reference for selecting the treatment method of the patients.

Objective: To identify ferroptosis-related genes associated with gastric cancer prognosis and investigate their potential molecular functions. Methods: Gene expression profiles and clinical information of gastric cancer tissues and adjacent normal tissues were obtained from TCGA database. Differential expression analysis of ferroptosis-related genes was performed using the "DESeq2" package in R software. Key genes were identified and a prognostic model for gastric cancer was constructed through Cox regression analysis based on the LASSO algorithm. Patients were stratified into high-risk and low-risk groups according to the median risk score. The accuracy of the model was evaluated using Kaplan-Meier survival analysis and ROC curve analysis. Immune cell infiltration in gastric cancer patients was assessed with the "CIBERSORT" package. The mRNA expression of differentially expressed genes(DEGs) with prognostic significance was examined in both gastric cancer and adjacent normal tissue samples. In vitro experiments were conducted to validate the impact of hydroxycarboxylic acid receptor 1(HCAR1) on the malignant biological behavior of gastric cancer. Results: Based on ferroptosis-related genes from the TCGA database, a novel prognostic model was constructed. It demonstrated robust predictive power for survival in both training and validation cohorts. RT-qPCR analysis of 8 pairs of gastric cancer and normal tissues revealed that the expression patterns of 6 prognostic DEGs in cancer tissues were consistent with those predicted by the model. In vitro experiments confirmed that downregulation of the key gene HCAR1 could inhibit the proliferation, invasion, and metastasis of gastric cancer cells. Conclusion The ferroptosis-related gene based prognostic model exhibits robust predictive capability, allowing for accurate determination of prognosis and survival in individuals with gastric cancer.

The safety and efficacy of a compound endoscopic dissection knife were evaluated in animal models. The compound endoscopic dissection knife can readily switch between Dual knife mode and IT knife mode. Vitro experiments were done on 30 mucosal lesion models and 30 submucosal lesion models, respectively, of pig stomach tissue. In vivo experiments, mucosal lesion resection were performed on each 10 lesions of gastrointestinal tract in 6 porcine models. The compound endoscopic dissection knife were used in the experimental group, and Dual knife combined with IT knife were used in the control group. Dissection time were recorded. The wounds were biopsied to evaluate muscle damage. The results of vitro experiment showed the dissection time of mucosal and submucosal lesions in the experiment group was significantly shorter than that in the control group (17.93±2.52 min VS 21.07±3.58 min, t=-2.774, P=0.010; 25.73±2.66 min VS 31.80±3.78 min, t=-5.081, P<0.001). The results of vivo experiment showed the dissection time in the experiment group was significantly shorter than that in the control group (21.67±4.10 min VS 25.36±3.83 min, t=-3.602, P=0.001). The muscle damage rate was lower in the experimental group, but the difference was not statistically significant [3.3% (1/30) VS 10.0% (3/30), χ2=1.071, P=0.612]. The compound endoscopic dissection knife is both safe and effective in animal models.

Various types of industrial parks in Shanghai play an important role in promoting industrial upgrading and technological progress， yet they are also fraught with occupational health hazards. To effectively promote workplace health and enable various industrial parks to play a positive role， the Shanghai Municipal Government has proposed accelerating the construction of healthy industrial parks. To meet the requirements for the scientific and standardized construction of healthy parks， the Shanghai Municipal Center for Disease Control and Prevention has compiled the Guidelines for Healthy Industrial Park Construction（Guidelines）. Adhering to the overall principles of scientific， feasibility， advancement， and standardization， the Guidelines address three construction levels： industrial parks， employers， and employees. They set clear requirements for organizational management， healthy environments， health services， health activities， and occupational health in the workplaces， respectively. The Shanghai healthy industrial park evaluation form was provided as an informative appendix for the Guidelines. The Guidelines offer a scientific basis for standardizing and guiding the construction of healthy industrial parks， providing new solutions and technical support for urban occupational health management.

Liver cancer is one of the most threatening diseases to the human body,and most patients are already in the advanced stage at the time of diagnosis,resulting in an extremely high mortality rate.The diagnosis and treatment of early-stage liver cancer is the key to improving the prognosis of patients.Medical imaging is an important method that assists in the diagnosis of liver cancer,and currently,intelligent image recognition technology based on medical imaging data has been widely applied in the field of medical diagnosis and has good application prospects.This article reviews the current status of research on artificial intelligence(AI)methods for the diagnosis of focal liver lesions based on liver medical images and proposes the advantages and shortcomings of current AI diagnosis,so as to provide new research ideas for the intelligent diagnosis of liver cancer in the future.

Objective To investigate the clinical effect of digital subtraction angiography(DSA)-guided foam sclerotherapy on lower limb varicose veins.Methods The relevant data of patients with lower limb varicose veins treated by DSA-guided foam sclerotherapy were analyzed retrospectively.At the same time,the safety and efficacy were compared before and after operation according to clinical etiology anatomy pathophysiology(CEAP)and clinical symptoms.Results Among the 278 affected limbs treated,2(0.72％)had neurological complications during treatment,8(2.88％)had chest tightness or cough during treatment,7(2.52％)had thrombophlebitis after treatment,and 28(10.07％)had hyperpigmentation after treatment.No serious complications such as skin necrosis,deep vein thrombosis(DVT)or pulmonary embolism(PE)occurred.There were 48 cases of grade C1 and 201 cases of grade C2 before treat-ment,while 244 cases of grade C0 and 26 cases of grade C1 after treatment,and the differences were statistically significant(P＜0.05).Conclusion DSA-guided foam sclerotherapy on lower limb varicose veins is a safe and effective minimally invasive treatment with high technical success rate.

Objective To explore the relationships between headache and pulmonary function,chronic lung disease(CLD)in middle-aged and elderly people in China.Methods This cross-sectional study collected data from participants aged 45 and above in the 2015 China Health and Retirement Longitudinal Study(CHARLS).Headache was diagnosed based on self-report,and CLD and asthma were defined by self-reported doctor diagnoses or a combination of health assessments and medication use.Peak expiratory flow(PEF)was used as an indicator of pulmonary function.Multivariable logistic regression model was used to analyze the correlations between PEF,asthma,CLD,and headache.Relationship between PEF and headache was analyzed by restricted cubic spline(RCS)analysis and subgroup analysis.Results Among 12 661 middle-aged and elderly participants,the prevalence of headache was 14.42%(1 826/12 661),with a prevalence of 9.07%(558/6 151)in males and 19.48%(1 268/6 510)in females.After full adjustment for covariates,each 1 L/s increase in PEF was associated with a 7%reduction in the risk of headache(odds ratio[OR]=0.93,95%confidence interval[CI]0.90-0.96,P＜0.001).Categorizing PEF into quartiles(Q1-Q4),as the increase of PEF,the risk of headache significantly decreased(ORs for Q2,Q3,and Q4 were 0.92,0.82,and 0.72,respectively,Ptrend＜0.001).Additionally,asthma(OR=1.78,95%CI 1.43-2.20,P＜0.001)and CLD(OR=2.21,95%CI 1.92-2.53,P＜0.001)were positively associated with the risk of headache.RCS analysis indicated a negative linear correlation between PEF and the risk of headache(Poverall＜0.001,Pnon-linear=0.57).Subgroup analysis revealed that a history of hypertension had a significant impact on the negative association between PEF and headache(Pinteraction＜0.001).Conclusion There is a significant negative correlation between PEF and headache among middle-aged and elderly people in China,while asthma and CLD are positively associated with headache.Improving lung function in middle-aged and elderly populations may be an effective strategy for preventing or alleviating headache.

Alanine-serine-cysteine transporter 2 (ASCT2) is reported to participate in the progression of tumors and metabolic diseases. It is also considered to play a crucial role in the glutamate-glutamine shuttle of neuroglial network. However, it remains unclear the involvement of ASCT2 in neurological diseases such as Parkinson's disease (PD). In this study, we demonstrated that high expression of ASCT2 in the plasma samples of PD patients and the midbrain of MPTP mouse models is positively correlated with dyskinesia. We further illustrated that ASCT2 expressed in astrocytes rather than neurons significantly upregulated in response to either MPP⁺ or LPS/ATP challenge. Genetic ablation of astrocytic ASCT2 alleviated the neuroinflammation and rescued dopaminergic (DA) neuron damage in PD models in vitro and in vivo. Notably, the binding of ASCT2 to NLRP3 aggravates astrocytic inflammasome-triggered neuroinflammation. Then a panel of 2513 FDA-approved drugs were performed via virtual molecular screening based on the target ASCT2 and we succeed in getting the drug talniflumate. It is validated talniflumate impedes astrocytic inflammation and prevents degeneration of DA neurons in PD models. Collectively, these findings reveal the role of astrocytic ASCT2 in the pathogenesis of PD, broaden the therapeutic strategy and provide a promising candidate drug for PD treatment.

BACKGROUND: Sarcopenia is an age-related progressive skeletal muscle disorder involving the loss of muscle mass or strength and physiological function. Efficient and precise AI algorithms may play a significant role in the diagnosis of sarcopenia. In this study, we aimed to develop a machine learning model for sarcopenia diagnosis using clinical characteristics and laboratory indicators of aging cohorts. METHODS: We developed models of sarcopenia using the baseline data from the West China Health and Aging Trend (WCHAT) study. For external validation, we used the Xiamen Aging Trend (XMAT) cohort. We compared the support vector machine (SVM), random forest (RF), eXtreme Gradient Boosting (XGB), and Wide and Deep (W&D) models. The area under the receiver operating curve (AUC) and accuracy (ACC) were used to evaluate the diagnostic efficiency of the models. RESULTS: The WCHAT cohort, which included a total of 4057 participants for the training and testing datasets, and the XMAT cohort, which consisted of 553 participants for the external validation dataset, were enrolled in this study. Among the four models, W&D had the best performance (AUC = 0.916 ± 0.006, ACC = 0.882 ± 0.006), followed by SVM (AUC =0.907 ± 0.004, ACC = 0.877 ± 0.006), XGB (AUC = 0.877 ± 0.005, ACC = 0.868 ± 0.005), and RF (AUC = 0.843 ± 0.031, ACC = 0.836 ± 0.024) in the training dataset. Meanwhile, in the testing dataset, the diagnostic efficiency of the models from large to small was W&D (AUC = 0.881, ACC = 0.862), XGB (AUC = 0.858, ACC = 0.861), RF (AUC = 0.843, ACC = 0.836), and SVM (AUC = 0.829, ACC = 0.857). In the external validation dataset, the performance of W&D (AUC = 0.970, ACC = 0.911) was the best among the four models, followed by RF (AUC = 0.830, ACC = 0.769), SVM (AUC = 0.766, ACC = 0.738), and XGB (AUC = 0.722, ACC = 0.749). CONCLUSIONS: The W&D model not only had excellent diagnostic performance for sarcopenia but also showed good economic efficiency and timeliness. It could be widely used in primary health care institutions or developing areas with an aging population. TRIAL REGISTRATION Chictr.org, ChiCTR 1800018895.
Humans ; Aged ; Sarcopenia/diagnosis* ; Deep Learning ; Aging ; Algorithms ; Biomarkers