Objective: To explore the intervention effects of different exercise modalities on executive function in school aged children, providing references for formulating exercise prescriptions to promote school aged children executive function. Methods: A systematic literature search was conducted using PubMed, Embase, Cochrane Library, Web of Science, CNKI, Wanfang, VIP and CBM to identify studies on the effects of exercises on executive function in school aged children. The search period spanned from the database inception to August 2025. Two researchers independently screened the literature, extracted data, and evaluated the risk of bias of the included studies. Network Meta analysis was performed using Stata 16.0. Results: A total of 51 studies involving 5 710 school aged children and seven modalities of exercises(control group,small ball sports,large ball sports,aerobic exercise,combined exercise,sport game,gymnastic and dance sports) were finally included. Network Meta analysis showed that, in terms of inhibitory control development of school aged children, small ball sports ( SMD =-0.98,95% CI =-1.32 to -0.64 ), large ball sports ( SMD =-0.64,95% CI =-0.91 to -0.36), and mixed sports ( SMD =-0.26,95% CI =-0.50 to -0.02]) were more effective than the control group; in terms of working memory, largeball sports ( SMD =-1.26,95% CI =-1.88 to -0.65) and small ball sports ( SMD =-0.91,95% CI =-1.64 to -0.19) were superior to the control group; in terms of improving cognitive flexibility, large ball sports ( SMD =-1.02,95% CI =-1.28 to -0.76), gymnastics and dance sports ( SMD =-0.80,95% CI =-1.21 to -0.40), and small ball sports ( SMD =-0.75,95% CI =-1.15 to -0.36) were more effective than the control group (all P <0.05). Surface under cumulative ranking curve(SUCRA) showed that small ball sports had the highest value (SUCRA=98.9%) in improving inhibitory control, while large ball sports achieved the highest score(SUCRA=92.6%) in enhancing working memory, and large ball sports also had the highest value(SUCRA=94.7%) in promoting cognitive flexibility. Conclusions For developing inhibitory control in school aged children, small ball sports are recommended as a priority. For enhancing working memory and cognitive flexibility, large ball sports are recommended.

AIM: To investigate the impacts of periocular injection of triamcinolone acetonide on healing effect and inflammatory factor in patients with acute iridocyclitis.METHODS:Totally 90 patients(90 eyes)with acute iridocyclitis, admitted to our hospital between September 2018 and September 2023, were grouped via random number table, including a triamcinolone acetonide group and a control group, each comprising 45 patients(45 eyes). The control group underwent conventional treatment, whereas the triamcinolone acetonide group adopted triamcinolone acetonide through periocular injection. The healing effect, levels of inflammatory cytokines, anterior chamber inflammatory cell scores, keratic precipitates(KP)scores, best-corrected visual acuity(BCVA), untoward reactions, and relapse rates of the two groups of patients were compared.RESULTS:The triamcinolone acetonide group had significantly higher overall efficacy rate than the control group(P<0.05). The levels of tumor necrosis factor-α(TNF-α), interleukin-6(IL-6), and interferon-γ(IFN-γ)decreased in both groups at 30 d after treatment, and the levels in the triamcinolone acetonide group were lower(all P<0.05). After treatment for 30 d, the scores of anterior chamber inflammatory cells and KP in both groups decreased, and the scores in the triamcinolone acetonide group were lower than those in the control group(all P<0.05); the BCVA of both groups improved, and the triamcinolone acetonide group had a better BCVA(all P<0.05). There was no statistically significant difference in untoward reactions between the two groups(P=1.000). The relapse rate of the triamcinolone acetonide group was lower than that of the control group(P=0.030).CONCLUSION: Periocular injection of triamcinolone acetonide has obvious healing effects on patients with acute iridocyclitis, and it can alleviate the inflammatory state of patients and reduce the relapse rate of inflammation.

The gut microbiota is a vast microbial ecosystem,specifically present in the organism and plays an important regulatory role in the body's health or disease state together with its metabolites.After spinal cord injury,the complex pathophysiology at the site of trauma makes axonal regeneration difficult,and the autonomic motor dysfunction induced by spinal cord injury disrupts gastrointestinal function and causes gut microbiota imbalance.The previous clinical outcomes of neurorepair strategies after spinal cord injury have not been ideal.The dysregulated gut microbiota and neuroinflammation after spinal cord injury are closely associated with the prognosis of the patients.The potential mechanisms by which the gut microbiota may influence the neuroinflammation after spinal cord injury may include the activation of gut-associated lymphoid tissue and disruption of the intestinal barrier by the imbalanced microbiota,and gut microbiota and its metabolites such as lipopolysaccharides(LPS),short chain fatty acids(SCFAs),5-hydroxytryptamine(5-HT),and tryptophan,as well as immune cells,inflammatory factors,and neurotransmitters the local inflammatory response in the spinal cord through the circulatory system.This paper revews the studies on the changes in gut microbiota after spinal cord injury and their effects on the spinal cord neuroinflammation,providing new targets and new ideas for improving the neuroinflammation after spinal cord injury.

Objective:Analyze the mediating and moderating effects of the relationship between food intake and blood glucose levels.Methods:This study uses data from the China Health and Nutrition Survey project in the survey 2018, involving 11 043 adults aged 18 years or older, who have complete dietary data, waist circumference (WC), glycated hemoglobin A1c (HbA1c) indicators, and other key variables. Food consumption data was gathered via three consecutive 24-hour dietary recalls and weighing accounting method, which included two weekdays and one weekend day. The average daily intake of various foods and total energy intake were calculated. The mediation effect and moderation effect analysis were conducted using simple mediation models, direct moderation effect models, and moderated mediation analysis theoretical models. The confidence interval method (bootstrap method) was performed for testing and analysis.Results:A total of 4 951 males and 6 092 females were included in the stratified analysis by gender. The mediating effects on the rice, wheat, and red meat→WC→HbA1c were all statistically significant in males. The standardized coefficients were -0.009 ( P<0.001), 0.013 ( P<0.001), and -0.005 ( P=0.008), respectively. In females, the mediating effect on the wheat→WC→HbA1c was statistically significant, and the standardized coefficient was 0.017 ( P<0.001); the impact of red meat intake on HbA1c is negatively regulated by the intake of dark vegetables, with a direct moderating effect; the standardized coefficient of the interaction term between red meat and dark vegetables was -0.024 ( P=0.008). Dark vegetables have a moderated mediator on the pathway from rice to WC and HbA1c ( a3b1=-0.003, P=0.041) in males. The mediating effect of WC is negatively regulated by the intake of dark vegetables (mediation effect difference U1/-1=-0.006, P=0.048). Dark vegetables showed a moderated mediator on the pathway from wheat to WC and HbA1c ( a3b1=-0.004, P=0.045) in females. The mediating effect of WC is negatively regulated by the intake of dark vegetables (mediation effect difference U1/-1=-0.009, P=0.049). Conclusions:Changes in WC indicators caused by rice, wheat, and red meat intake. WC could mediate between rice, wheat, red meat, and HbA1c. Dark vegetables directly or indirectly regulate HbA1c levels by interacting with rice, wheat, and red meat.

Objective: To analyze the trends in disease burden of tuberculosis among children under 5 years of age in China from 1990 to 2021, so as to provide insights for future tuberculosis control measures among children in China. Methods: Based on the Global Burden of Disease (GBD) 2021 datasets, the incidence, prevalence, mortality and disability adjusted life year(DALY) of tuberculosis of children under 5 years of age in China and globally were collected from 1990 to 2021. The incidence, prevalence, mortality and DALY rate of tuberculosis were compared by genders and types. In addition,the annual percent change(APC) and the average annual percent change(AAPC) of children s tuberculosis burden in China and globally from 1990 to 2021 were calculated by using the Joinpoint regression model, and the changing trends were analyzed. Results: The numbers of incident, prevalent and dead tuberculosis cases were 9 700, 8 477 800 and 200 among children under 5 years of age in China in 2021, and the DALY due to tuberculosis were 27 100 person years. There were significant reductions in incidence, prevalence, mortality and DALY rate of tuberculosis among children under 5 years of age in China ( AAPC =-5.45%, -1.14%, -12.37%, -11.34 %) and globally( AAPC =-2.38%, -1.41%, -4.66%, -4.56%), and the reductions in the incidence, mortality and DALY rate were more significant in China than globally ( P <0.05).In 1992 and later, the numbers of incident, prevalent and dead tuberculosis cases and the DALY of tuberculosis were higher among male than among female. In addition, the disease burden of drug susceptible tuberculosis appeared a tendency of downward in China from 1990 to 2021, while the incidence and prevalence of extensively drug resistant tuberculosis rose since 2015. Conclusions The disease burden of tuberculosis remarkably reduced among children under 5 years of age in China from 1990 to 2021. However, the burden of disease due to multidrug resistant tuberculosis appeared an upward trend recently. Increased attention is required to be paid to the prevention and control of tuberculosis among children and improved diagnosis and treatment of drug resistant tuberculosis are recommended.

Background Multimorbidity imposes a heavy burden on individuals, families, and society. There are relatively few studies exploring patterns of multimorbidity among middle-aged adults in China. Objective To explore the current status of multimorbidity, associated risk factors, and multimorbidity patterns among adults aged 45-64 years in China, so as to provide a scientific basis to prevent and control multimorbidity in China. Methods A total of 5494 adults aged 45-64 years from the Chinese Health and Nutrition Survey (CHNS) in 2018 were selected. Of these, 2494 (45.39%) were men and 3000 (54.61%) were women. The nine diseases included were hypertension, diabetes, dyslipidaemia, obesity, mild cognitive impairment (MCI), myocardial infarction, stroke, asthma, and tumor. The prevalence of each disease or multimorbidity was expressed as N (%). Comparisons of multimorbidity prevalence between different groups were performed using the χ² test or Cochran-Armitage trend test. Association rule with the Apriori algorithm was used to explore the pattern of multimorbidity, with parameters set at a minimum conditional support of 3.00%, a minimum rule confidence of 50.00%, and a lift of >1.20. Logistic regression was used to evaluate the associations between selected risk factors and multimorbidity. Results In 2018, 37.44% of participants reported multimorbidity in 15 provinces of China. The prevalence of diseases in descending order was dyslipidaemia (39.99%), hypertension (39.48%), obesity (16.42%), MCI (14.47%), diabetes (14.16%), tumor (1.09%), stroke (1.04%), myocardial infarction (0.71%), and asthma (0.64%). A total of seven multimorbidity patterns were identified in this group. Obesity paired with hypertension, and diabetes paired with dyslipidemia were the two major patterns of multimorbidity in the general population and age or sex subgroups. The multimorbidity patterns of different populations were concentrated in the combination of obesity, hypertension, diabetes, and dyslipidemia. The risk of multimorbidity was lower in females than in males (OR=0.85, 95%CI: 0.75, 0.97). The multimorbidity risk was 1.56 times higher in the 55-64 years group than in the 45-54 years group (OR=1.56, 95%CI: 1.40, 1.75). Drinking in the past year increased the risk of multimorbidity by 25% (OR=1.25, 95%CI: 1.08, 1.45) compared to no alcohol comsumption in the past year. High and medium levels of physical activity were associated with a decreased OR (high: OR=0.74, 95%CI: 0.65, 0.85; medium: OR=0.81, 95%CI: 0.70, 0.93) with low level of physical activity as reference. Conclusion In 2018, there was a high prevalence rate of multimorbidity among middle-aged adults in China. The main multimorbidity patterns were obesity-hypertension and diabetes-dyslipidemia. Surveillance and interventions should be strengthened particularly for men, individuals with alcohol consumption or insufficient physical activity, and those with major multimorbidity patterns.

Objective To explore the medication law of TCM external treatment for chronic kidney disease-associated pruritus(CKD-aP)by data mining technology.Methods Literature of TCM external treatment for CKD-aP was retrieved from China Knowledge Network(CNKI),VIP Chinese Journal Service Platform(VIP),Wanfang Data Knowledge Service Platform(Wanfang Data),and China Biology Medicine(CBM)since the establishment of the databases to March 31,2023.After screening according to the inclusion criteria,the final inclusion in the literature was determined,effective prescriptions were extracted,and entered into Excel 2019 to establish a prescription database.Excel 2019,SPSS Modeler 18.0,Origin 2021,and Gephi 0.10 softwares were used to perform frequency statistics,gender and taste meridian statistics,association rule analysis,and clustering analysis on prescription drugs.Results Totally 103 effective prescriptions were included,involving 133 kind of Chinese materia medica,with a total frequency of 978 times and 28 drugs with frequency≥10.The top 10 drugs were Dictamni Cortex,Kochiae Fructus,Sophorae Flavescentis Radix,Angelicae Sinensis Radix,Cnidii Fructus,Rhei Radix et Rhizoma,Chuanxiaong Rhizoma,Smilacis Glabrae Rhizoma,Saposheikovize Radix and Schizonepetae Herba,with cold and warm as the main properties,bitter,pungent,and as the main sweet tastes,and liver,heart,stomach,and spleen meridians as the main meridians.The association rule analysis yielded 34 groups of commonly used drug pairs.Clustering analysis obtained 4 clusters of prescriptions.Conclusion TCM external treatment for CKD-aP is mostly based on draining wind and clearing heat,drying dampness and relieving itching,nourishing blood and dispelling wind.The commonly used drugs are Dictamni Cortex,Kochiae Fructus,Sophorae Flavescentis Radix,and Angelicae Sinensis Radix,and the commonly used prescriptions include modified Shechuangzi Powder,Danggui Yinzi Decoction,Mahuang Guizhi Decoction and Xijiao Dihuang Decoction.

Post-traumatic stress disorder (PTSD) presents with complex and diverse clinical manifestations, making accurate and objective diagnosis challenging when relying solely on clinical assessments. Therefore, there is an urgent need to develop reliable and objective auxiliary diagnostic models to provide effective diagnosis for PTSD patients. Currently, the application of graph neural networks for representing PTSD is limited by the expressiveness of existing models, which does not yield optimal classification results. To address this, we proposed a multi-graph multi-kernel graph convolutional network (MK-GCN) model for classifying PTSD data. First, we constructed functional connectivity matrices at different scales for the same subjects using different atlases, followed by employing the k-nearest neighbors algorithm to build the graphs. Second, we introduced the MK-GCN methodology to enhance the feature extraction capability of brain structures at different scales for the same subjects. Finally, we classified the extracted features from multiple scales and utilized graph class activation mapping to identify the top 10 brain regions contributing to classification. Experimental results on seismic-induced PTSD data demonstrated that our model achieved an accuracy of 84.75%, a specificity of 84.02%, and an AUC of 85% in the classification task distinguishing between PTSD patients and non-affected subjects. The findings provide robust evidence for the auxiliary diagnosis of PTSD following earthquakes and hold promise for reliably identifying specific brain regions in other PTSD diagnostic contexts, offering valuable references for clinicians.
Humans ; Stress Disorders, Post-Traumatic/diagnostic imaging* ; Neural Networks, Computer ; Algorithms ; Brain/diagnostic imaging* ; Magnetic Resonance Imaging

Objective: To observe the effects of electroacupuncture (EA) at Neiguan (PC6) on arrhythmia during acute myocardial ischemia-reperfusion and the expression of connexin 43 (Cx43) in rats. Methods: A total of 40 Sprague-Dawley male rats were used. Ten rats were randomly selected as the blank group, and the remaining 30 rats were randomly divided into a model group and an EA group, with 15 rats in each group. Before modeling, rats in the EA group received one session of EA intervention at bilateral Neiguan (PC6) for 30 min; the other groups were treated with the same grasping and anesthesia for 30 min without intervention. PowerLab physiological recorder was used to record electrocardiograph within 30 min of infarction. After the experiment, cardiac tissue and serum were collected from rats. Hematoxylin-eosin (HE) staining was used to observe the morphological changes of myocardial tissue in the ventricular infarction area of rats in each group. The expression of Cx43 protein in the myocardium of each group was detected by Western blotting (WB). Enzyme-linked immunosorbent assay (ELISA) was used to determine the activity of Na+-K+-ATPase in myocardial tissue and the serum content of endogenous digitalis-like factor (EDLF) in rats. Results: There was no statistical difference in arrhythmia score between the EA group and the model group, but the total duration and average duration of arrhythmia in the EA group were decreased (P<0.01). HE staining showed that compared with the blank group, myocardial cells in the model group were disorganized and seriously damaged. The pathological changes in the EA group were similar to those in the model group, but the damage was relatively minor. The results of WB showed that compared with the blank group, the Cx43 expression in myocardial tissue of the model group was decreased (P<0.01); compared with the model group, the Cx43 expression in the EA group was increased (P<0.01); compared with the blank group, the Na+-K+-ATPase activity in myocardial tissue of the model group was significantly decreased (P<0.01); compared with the model group, the Na+-K+-ATPase activity in the EA group was increased (P<0.01). ELISA results showed that compared with the blank group, the serum EDLF content in the model group was significantly increased (P<0.01); compared with the model group, the EDLF content in the EA group was decreased (P<0.01). Conclusion: EA at Neiguan (PC6) can delay and reduce the onset of arrhythmia during myocardial infarction in the rat model of myocardial ischemia-reperfusion. Its mechanism of action may be related to the regulation of the Cx43 expression in myocardial tissue, improvement of the activity of Na+-K+-ATPase in myocardial tissue, and increase in the content of serum EDLF.

Objective To explore the relationship between m6A RNA methylation regulators and prognosis of prostate cancer.Methods Clinicopathological and mRNA-related data of 496 cases of prostate cancer were downloaded from the Cancer Genome Atlas(TCGA)database,and 12 m6A regulators were identified:METTL3,METTL14,WTAP,RBM15,ZC3H13,YTHDC1,YTHDC2,YTHDF1,YTHDF2,HNRNPC,FTO,and ALKBH5.The m6A regulators differentially expressed in prostate cancer samples were screened.Unsupervised clustering of prostate cancer tissues was used to compare differences in overall survival.Multivariate Cox regres-sion analysis was used to divide patients into high-and low-risk groups according to the risk scores,and survival rates were compared.The risk score of clinicopathological factors was determined,and a multivariate Cox regression analysis model was constructed to evaluate the prognostic prediction value.Immunohistochemical staining was performed to detect METTL14 and FTO expression in prostate cancer tis-sues.Results Eight differentially expressed regulators were screened from 12 m6A regulators.Unsupervised cluster analysis divided the samples into Clusters 1,2,and 3 and found significant differences in survival time in all three groups.Multivariate Cox regression analyses revealed that METTL14and FTOwere strongly associated with the prognosis of patients with prostate cancer.A Cox regression model con-structed to score the risk of prostate cancer revealed that the high-and low-risk groups had survival differences,and the risk score could be used as an independent prognostic factor.The positive expression rates of METTL14 and FTO protein in prostate cancer tissues were significantly higher than those in adjacent tissues(P<0.05).Conclusion In this study,a prognostic prediction model based on m6A regulators of prostate cancer was constructed,in which the risk score could be used as an independent prognostic factor.METTL14and FTOcould be used as molecular markers for the diagnosis of prostate cancer and as potential targets for treatment.