ObjectiveTo evaluate the levels of physical exercise, mental health and social response in children with autism spectrum disorder (ASD), and explore the mediating effect of social response on physical exercise and mental health. MethodsFrom September, 2019 to April, 2024, 211 children with ASD from three special education schools in Haidian District and Shijingshan District of Beijing were selected. They were assessed with general data questionnaire, Physical Activity Rating Scale (PARS-3), Chinese version of Psycho-Educational Profile (C-PEP) and Social Response Scale-Short Form (SRS-SF). The correlation among physical exercise, mental health and social response was analyzed. The mediating effect of social response on physical exercise and mental health was explored. ResultsThe average physical exercise level was (58.72±3.34), the average mental health level was (14.85±1.67), and the average social response level was (24.98±3.79). Physical exercise was positively correlated with mental health (r = 0.546, P < 0.05) and negatively correlated with social response (r = -0.298, P < 0.05). Mental health was negatively correlated with social response (r = -0.397, P < 0.05). Average monthly family income, parental relationship, repeated transcranial magnetic stimulation therapy, physical exercise, social response were the influencing factors of mental health (P < 0.05). Social response was intermediary between physical exercise and mental health, accounting for 14.56%. ConclusionThe mental health level of children with ASD is poor, and there are many influencing factors. Physical exercise can directly affect the mental health of children with ASD, and can also play an indirect role through social response.

OBJECTIVES: Intracranial aneurysm (IA) has an insidious onset, and once ruptured, it carries high rates of mortality and disability. Cardiometabolic factors may be associated with the formation and rupture of IA. This study aims to summarize the application of Mendelian randomization (MR) methods in research on cardiometabolic factors and IA, providing insights for further elucidation of IA etiology and pathogenesis. METHODS: Literature about MR-based IA studies published up to February 21, 2024, was retrieved from PubMed, Embase, Web of Science, CNKI, and Wanfang. Two researchers independently performed literature screening, data extraction, and quality assessment. A narrative synthesis approach was used to conduct a qualitative systematic review of the included studies. RESULTS: A total of 11 MR-based studies on IA published between 2017 to 2024 were included, of which 4 were rated as high quality. These studies investigated the associations between blood pressure, blood lipids, blood glucose, obesity-related indicators, and inflammatory cytokines with IA and its subtypes, though issues of duplication were noted. Four MR studies based on the same European population but using different instrumental variable selection criteria, as well as another MR study in a different European cohort, consistently identified blood pressure as a risk factor for IA and its subtypes. Findings for blood lipids, blood glucose, obesity-related indicators, and inflammatory cytokines were inconsistent across MR studies. CONCLUSIONS Blood pressure appears to increase the risk of IA and its subtypes. Associations between other cardiometabolic factors and IA/subtypes require further in-depth investigation. Given the inherent limitations of MR studies, causal inferences should be made cautiously in combination with other lines of evidence.
Humans ; Mendelian Randomization Analysis ; Intracranial Aneurysm/etiology* ; Risk Factors ; Blood Pressure ; Blood Glucose ; Obesity/complications* ; Cardiometabolic Risk Factors ; Lipids/blood*

Adverse drug reactions (ADRs) significantly impact clinical medication safety. The timely identification and prediction of ADRs rely on the efficient analysis of real-world data, such as electronic health records, social media, and spontaneous reporting databases. In recent years, the rapid advancement of artificial intelligence, particularly large language models, in natural language processing, causal reasoning, and complex data mining has provided new technological means for real-time ADRs monitoring and individualized prediction. This paper summarizes the latest research achievements in AI-driven ADRs monitoring. Focusing on diverse data sources, including structured databases and electronic health records, it elaborates on the advantages andchallenges of AI in ADRs event extraction, relationship identification, causal analysis, and risk prediction. The aim is to provide a theoretical reference for constructing more intelligent and efficient ADRs monitoring systems.

Inflammatory bowel disease (IBD), a chronic inflammatory condition of the gastrointestinal tract, is associated with a significantly increased risk of both venous and arterial thromboembolism. Common risk factors for thrombosis include disease activity, surgery, older age, central venous catheterization, etc. However, thrombotic events related to pharmacological treatment are often under-recognized, despite their potential for severe consequences. With the rapid expansion of therapeutic options for IBD in recent years, it has become increasingly important to acknowledge that different agents carry varying levels of thrombotic risk. This review summarizes current evidence on the thrombotic risks associated with IBD therapies and outlines preventive strategies, aiming to optimize the thrombosis risk management and reduce treatment-related thrombotic events in IBD patients.

Background and aims:Metabolic dysfunction-associated fatty liver disease(MAFLD)is a common chronic condition that can lead to cancer due to its complex pathogenesis.Therapeutic agents targeting AMP-activated protein kinase(AMPK)activation have been suggested as potential treatments for metabolic disorders such as metabolic dysfunction-associated steatohepatitis(MASH).Rhizoma Atractylodis Mac-rocephalae(RAM)has been clinically used to treat obesity-related health problems,but its therapeutic effects on MAFLD and the underlying mechanism remain unclear.Therefore,this study was conducted to evaluate the function and underlying mechanism of RAM in the treatment of MAFLD.Methods:The effect of RAM decoction on MAFLD was evaluated using a high-fat diet(HFD)-induced MAFLD mouse model.In vitro studies were conducted using a palmitic acid/oleic acid-induced lipid accumulation model in the alpha mouse liver 12 cells and RAM-containing serum.The underlying mechanisms were elucidated through a combination of network pharmacology analysis,immunohis-tochemistry,western blotting,and polymerase chain reaction analysis.Results:Administration of RAM decoction significantly reduced body weight gain in MAFLD mice without changing food intake.The weights of the liver and inguinal adipose tissues were also reduced after RAM treatment.Additionally,RAM administration decreased serum levels of alanine aminotrans-ferase,aspartate transaminase,total cholesterol,triglyceride,low-density lipoprotein cholesterol,and glucose,while reducing lipid droplet accumulation in the liver tissues of MAFLD mice.The underlying mechanisms included the activation of the phosphorylation of AMPK and acetyl-CoA carboxylase(ACC),and inhibition of the expression of sterol regulatory element binding protein 1(SREBP1).However,RAM did not alter the protein expression levels of peroxisome proliferator-activated receptor α and carnitine palmitoyltransferase-1α.Furthermore,the RAM-induced upregulation of phosphorylated AMPK,phos-phorylated ACC,and SREBP1 expression,as well as the downregulation of fatty acid synthase expression,were reversed by using an AMPK inhibitor.Conclusions:Through a combination of network pharmacology and experimental validation,we demonstrated that RAM may exert therapeutic effects on MAFLD by inhibiting lipid synthesis and activating phosphorylated AMPK pathways.

Objective To investigate the role and existing dilemmas of policies related to traditional Chinese medicine talents in China in terms of their growth paths and attitudes towards existing policies.Methods A questionnaire survey was conducted to investigate the current situation of the development of traditional Chinese medicine talents and their views on the existing policies.Results 278 valid questionnaires were collected.In general,traditional Chinese medicine talents are quite satisfied with the current talent policy,the interviewees with senior professional titles have a better understanding of the talent policy,and the young members and members of the Chinese society of traditional Chinese medicine have a more positive and urgent attitude towards building a talent policy and evaluation index system with traditional Chinese medicine characteristics.Respondents generally believe that the current financial support for talent projects of traditional Chinese medicine is average,but it can stimulate the growth of young scholars.The title of talents and the achievements of scholars'scientific research complement each other.Conclusion In the process of the development of the field of traditional Chinese medicine,we should speed up the training of innovative talents of traditional Chinese medicine,establish talent evaluation indicators with traditional Chinese medicine characteristics,improve the evaluation and project management system of traditional Chinese medicine talents,and reasonably optimize the incentive mechanism brought by the title of talents.

Objective To explore the risk of venous thromboembolism (VTE), especially lower-extremity deep vein thrombosis (DVT) and pulmonary embolism (PE), for stroke patients in rehabilitating, and the functional outcome. Methods A total of 3 557 stroke patients in the neurological rehabilitation center of Beijing Bo'ai Hospital for stroke rehabilitation from January, 2015 to October, 2020 were reviewed through the electronic medical record system. Demographic characteristics, stroke characteristics (type and location), laboratory data (D-dimer polymer and arterial partial pressure of oxygen), motor function (Brunnstrom stage, Fugl-Meyer Assessment of motor and balance, modified Ashworth Scale score of triceps crus, and Holden Walking Ability Classification), activities of daily living (Barthel Index), and anticoagulant/antiplatelet treatment data were collected and analyzed. Results The incidence of DVT and PE was 28.5% and 1.29%, respectively. Most were found 30 days later after onset. The incidence of PE was higher after ischemic stroke (χ2 = 12.49, P < 0.001) rather than hemorrhagic stroke. The patients with hemispheric stroke, severe lower-extremity paralysis, and poor activities of daily living were more prone to complications associated with VTE. After rehabilitation, the function of stroke patients with PE could be improved (|t| > 4.302, P < 0.001). Conclusion The risk of DVT and PE in patients during stroke convalescence may not be negligible, and those with older age, previous history of thrombosis, severe stroke, and severe limb paralysis may be stratified in high-risk. Following anticoagulation treatment, early individualized comprehensive rehabilitation can be done for patients with PE to improve their function and activities of daily living.

Since December 2019,severe acute respiratory syndrome coronavirus 2 has been found to be the culprit in the coronavirus disease 2019 (COVID-19),causing a global pandemic.Despite the existence of many vaccine programs,the number of confirmed cases and fatalities due to COVID-19 is still increasing.Furthermore,a number of variants have been reported.Because of the absence of approved anti-coronavirus drugs,the treatment and management of COVID-19 has become a global challenge.Under these circumstances,drug repurposing is an effective method to identify candidate drugs with a shorter cycle of clinical trials.Here,we summarize the current status of the application of drug repurposing in COVID-19,including drug repurposing based on virtual computer screening,network pharmacology,and bioactivity,which may be a beneficial COVID-19 treatment.

Objective:To explore the feasibility of CT angiography (CTA) in investigating vascular dilatation of anterior choroidal artery (AChA) and posterior communicating artery (PComA) in patients with Moyamoya syndrome (MMS).Methods:From July 2017 to July 2018, the clinical and imaging data of MMS patients with brain CTA and DSA performed were analyzed retrospectively. According to DSA results, 71 MMS patients were divided into unilateral MMS group (20 cases, 20 hemispheres) and bilateral MMS group (51 cases, 102 hemispheres). There were 20 cases in unilateral MMS group, 10 males and 10 females, with an average age of (45±9) years; 51 cases in bilateral MMS group, 24 males and 27 females, with an average age of (44±12) years. The hemispheres were divided into dilated group and non-dilated group according to the dilatation of AChA or PComA. Kappa analysis was used to evaluate the consistency of two inspection methods to judge the expansion of AChA. The lumen diameters of PComA, P1 and P2 segments of posterior cerebral artery were measured on CTA images, and the ratio of PComA/P1 and PComA/P2 were calculated. The repeatability of CTA measures was evaluated by intra-group correlation coefficient. Independent sample t-test was used to compare CTA measurement results between PComA dilated group and non-dilated group, and ROC curve was drawn to calculate the best threshold for diagnosis of PComA expansion. The sensitivity, specificity, accuracy, positive predictive value and negative predictive value of CTA measures were calculated. Results:The sensitivity, specificity, accuracy, positive predictive value and negative predictive value of CTA diagnosis of AChA expansion inunilateral MMS were all 100.00%. The sensitivity, specificity, accuracy, positive predictive value and negative predictive value of CTA diagnosis of AChA expansionin bilateral MMS were 90.00%, 93.90%, 93.14%, 78.26% and 97.47%. Compared with DSA, there was no significant difference in the diagnostic performance of AChA expansion between single and bilateral MMS diagnosed by CTA ( P>0.05). The two methods had strong consistency (Kappa value was 1.00 and 0.79 respectively, P<0.01). A total of 46 patients (69 cerebral hemispheres) were included in the evaluation of PComA. PComA/P1 (1.09±0.41) and PComA/P2 (0.86±0.13) in the dilated group were significantly higher than those in the non-dilated group (0.71±0.21 for PComA/P1 and 0.75±0.23 for PComA/P2). The differences were statistically significant ( t=-4.59, -2.50, P<0.05). The best threshold in diagnosing PComA expansion was 0.87 (PComA/P1) and 0.76 (PComA/P2), and the sensitivity, specificity, accuracy, positive predictive value and negative predictive value were 84.62%, 83.33%, 84.06%, 86.84%, 80.65% and 79.49%, 60.00%, 71.01%, 72.09% and 69.23%, respectively. Compared with DSA, the Kappa value of CTA measures in diagnosis of PComA expansion was 0.68 (PComA/P1) and 0.40 (PComA/P2), respectively, and the difference was statistically significant ( P<0.05). Conclusions:CTA has a strong consistency with DSA in evaluating the AChA expansion in MMS. When the PComA/P1 ratio on CTA is greater than 0.87, it can be used as the diagnosis criterion for PComA expansion.

Objective:The incidence of breast cancer in Chinese women continues to rise. The large breast cancer cohort studies in China are relatively scarce. There are many bottlenecks in the construction of large clinical cohort for breast cancer diagnosis, treatment, and prognoses, such as inconsistent standards, high rates of lost follow-up, repeated construction, and inability to share. To better solving the difficulties and problems faced by large-scale clinical cohort research in China, this project will cooperate with several tertiary A hospitals to establish a breast cancer cohort in Chinese women. It also provides a data platform and technical support for breast cancer multi-center clinical cohort research.Methods:Based on the evidence-based medicine and expert opinion and consensus, we established a breast cancer cohort standardized indicator set-recording baseline information, diagnosis and treatment-related information of the enrolled patients, and collecting biological specimens. According to the technical specification of long-term follow-up for the endpoint, data management, and data security and in the large population-based cohort study, a standardized follow-up system for the diagnosis, treatment, and prognosis of breast cancer prospective cohorts is formed.Results:Based on standardized data sets and the computer discipline’s advantage from the University of Science and Technology Beijing, we integrate the new information technology methods, including dynamic information collection terminals and social networks. Thus, the quality of control programs on compliance and intelligence data was improved, and a Chinese women breast cancer cohort database was developed. By February 2020, 12 147 patients were included in the clinical cohort database. Biological specimens’resources in cohort construction were collected and cooperated with Shandong University to research the multi-center quality control system and shared evaluation system of biobanks. Building an open and shared biobank network and forming a full chain of breast cancer research platform.Conclusion:With the implementation of the "13 th Five-Year Plan" precision medicine research, this study provides a research foundation for precision diagnosis and treatment of breast cancer and provides data support for the country to formulate relevant medical policies.