Approximately 300 million tons of plastic are produced globally each year,which has a serious impact on human health,marine life and the livestock industry.Microplastics have also been detected in meat and milk samples.Research has shown that nanoplastics(NP)(＜1 μm)and mi-croplastics(MP)(1 μm-5 mm)can affect the digestive,immune and reproductive systems of ani-mals.This experiment aims to investigate whether NP and MP regulate autophagy and damage the nervous system and spatial memory of animals.This experiment was divided into control group,nanoplastic group(PS-NP group,0.1 μm)and microplastic group(PS-MP group,1 μm),with 20 mice in each group.The mice were given 0.5 mL of PS-NP and PS-MP every day for 35 consecutive days,followed by neck amputation and brain analysis.The results showed that NPs and MPs of dif-ferent diameters caused varying degrees of damage to the brains of mice.In the behavioral tests of new object recognition,barnes maze and Y-shaped maze spatial memory,compared with the control group,the PS-NP group and PS-MP group showed a significant decrease in spatial memory ability of mice.HE staining results showed that neuronal cells in the PS-NP and PS-MP groups of mice exhibited shrinkage,decreased cell volume and deepened staining.The number of Nissl bodies de-creased,leading to dissolution and disappearance.RT-PCR and Western blot results showed that compared with the control group,the expression of glutamate receptors NR1,NR2A and NR2B in-creased in mice administered NP and MP orally,while the expression of autophagy related proteins Parkin,LC3B and Beclin1 was inhibited.In summary,this study suggests that nanoplastics and mi-croplastics stimulate glutamate receptors in mice by inhibiting the autophagy pathway,leading to impaired spatial memory.

Objective We propose a method for multi-label classification of traditional Chinese medicine(TCM)literature using graph neural networks to enhance sentence embeddings.This approach can effectively capture the relationships between similar articles.By integrating with the semantic information of the text,it improves classification performance.Methods Sentence embedding data of papers are obtained,and a heterogeneous network of traditional Chinese medicine literature is established.The representation information of papers on the heterogeneous network and their own sentence embedding information are learned through the GraphSAGE model of graph neural networks.The feature vectors obtained are then input into the model for multi-label classification.Results In a TCM literature dataset,the multi-label classification model based on graph neural networks achieved precision and F1 scores of 0.83 and 0.72,respectively,outperforming mainstream baseline models.Conclusion The effectiveness of the proposed method in the multi-label classification task for TCM journals.

Objective To analyze the value of serum neutrophil count (NEUT), homocysteine (Hcy), adiponectin (APN) and blood glucose in predicting the occurrence of acute myocardial infarction (AMI) in patients with coronary heart disease. Methods The clinical data of 98 patients with coronary heart disease who were admitted to the hospital from March 2022 to March 2024 were collected retrospectively. Patients included were divided into AMI group (n=33) and non-AMI group (n=65) according to the presence and absence of AMI. Baseline data, complications, ultrasound examination data and laboratory examination data were collected. Multivariate logistic regression analysis was performed to identify the influencing factors of AMI in patients with coronary heart disease. The receiver operating characteristic curves were used to evaluate the predictive value of NEUT, Hcy, APN and blood glucose for AMI in patients with coronary heart disease. Results The levels of fasting plasma glucose (FPG), 2-hour postprandial plasma glucose (2hPG), glycosylated hemoglobin (HbA1c), NEUT, APN, Hcy, N-terminal pro B-type natriuretic peptide (NT-proBNP), C-reactive protein (CRP), red blood cell distribution width (RDW) and white blood cell (WBC) in the AMI group were higher than those in the non-AMI group (P<0.05). Logistic regression analysis found that FPG, 2hPG, HbA1c, NEUT, APN, Hcy, NT-proBNP, CRP, RDW, and WBC were independent influencing factors of AMI in patients with coronary heart disease (P<0.05). ROC curves indicated that the levels of FPG, 2hPG, HbA1c, NEUT, APN and Hcy were abnormally elevated in patients with coronary heart disease. Above indicators were helpful for predicting the occurrence of AMI. The area under the curve (AUC) and sensitivity of FPG for predicting AMI in patients with coronary heart disease were the best (P<0.05). Conclusion Abnormal elevated levels of FPG, 2hPG, HbA1c, NEUT, APN and Hcy are independent risk factors for AMI in patients with coronary heart disease. All of these indicators have predictive value.

Gut microbiota,implicated in obesity,insulin resistance,depression,and cardiovascular risk,can be modulated by probiotics to mitigate cardiovascular disease risk.Vascular calcification(VC),a regulated process involving mineral deposits in vessels and valves,is a significant risk factor.Diet profoundly impacts both gut micro-biota and VC,influencing cardiovascular health via microbial metabolites.While the link between gut microbiota and VC is established,the precise dietary effects on vascular health remain unclear.This article reviews mecha-nisms through which dietary patterns shape gut microbiota and metabolites,influence VC and highlights directions for future research on VC diagnosis and treatment.

Coronary heart disease(CHD)is one of the most prevalent cardiovascular diseases in China,with a continuously growing patient population,presenting numerous challenges for personalized and precise treatment.Artificial intelligence(AI),leveraging its advantages in processing and analyzing medical data,integrates clinical information,imaging examinations,and various omics analyses to provide clinicians with accurate diag-nostic and treatment recommendations.AI plays a crucial role in risk prediction,diagnostic optimization,and the development of personalized treatment strategies.This article explores the applications of AI in the diagnosis and treatment of CHD,analyzing its contributions and challenges in risk prediction,diagnostic optimization,and treatment decision-making,while also envisioning its future developmental in the field of cardiovascular medicine.

Abstract In recent years, the prevalence of overweight and obesity among children and adolescents has risen rapidly, posing a serious threat to their physical and mental health. To provide scientific, systematic, and standardized weight management guidance for overweight and obese children and adolescents, the study focuses on the core concept of healthy lifestyle intervention, integrates multidisciplinary expert opinions and research findings,and proposes a comprehensive multidisciplinary intervention framework covering scientific exercise intervention, precise nutrition and diet, optimized sleep management, and standardized psychological support. It calls for the establishment of a multi agent collaborative management mechanism led by the government, implemented by families, fostered by schools, initiated by individuals, optimized by communities, reinforced by healthcare, and coordinated by multiple stakeholders. Emphasizing a child and adolescent centered approach, the consensus advocates for comprehensive, multi level, and personalized guidance strategies to promote the internalization and maintenance of a healthy lifestyle. It serves as a reference and provides recommendations for the effective prevention and control of overweight and obesity, and enhancing the health level of children and adolescents.

Objective:To retrospectively analyse the clinical data of patients after NUSS procedure for pectus excavatum, and summary of surgical techniques for NUSS bar removal.Methods:Retrospectively collected the clinical data of 276 patients undergoing NUSS bar removal from January 2024 to September 2024 in Beijing Children's Hospital affiliated to Capital Medical University. The age of the patients ranged from 6 to 20 years old, 211 males and 65 females. The average time the bar was in place in the body was 36 months.Results:All 276 patients successfully completed the NUSS bar removal. The average operative time was 22.6 min, with an average blood loss of 3.3 ml. 90 patients with bone scabs, 104 patients with wire breakage were successfully removed. 2 cases of postoperative wound infection, no other intraoperative and postoperative complications. The average hospitalization time after surgery was 1.2 days. Follow up for 3 months after surgery, and no abnormalities were found on the chest X-ray.Conclusion:Mastering the surgical techniques for pectus excavatum bar removal enhances the safety and efficiency of the procedure. It effectively reduces the incidence of intraoperative and postoperative complications, shortens operative time, and alleviates postoperative pain in patients.

Objective To formulate an expert consensus on the puncture of difficult arteriovenous fistula under real-time guidance of ultrasound(hereinafter referred to as the consensus).To standardize the clinical practice of ultrasound-guided puncture of difficult autologous arteriovenous fistula.Methods We conducted a comprehensive literature review of domestic and international publications,integrated clinical nursing experts' practical experience,and followed evidence-based nursing principles to identify the best available evidence.Through expert panel discussions and 3 rounds of Delphi expert consultation,we systematically revised,refined and improved the initial draft of the consensus,ultimately developing the finalized version.Results The response rates of the 3 rounds of Delphi expert correspondence inquiries were all 100％;the authority coefficient of expert correspondence inquiries was 0.97;the mean importance assignment of the 3 rounds of correspondence inquiries was more than 3.50.The Kendall coordination coefficients of the 3 rounds of expert consultation were 0.127,0.120,and 0.201,respectively(P＜0.05),and the degree of coordination of expert opinions was good and the expert opinions were consistent.The consensus summarized 5 aspects,including relevant terms and definitions,indications for real-time ultrasound-guided arteriovenous fistula puncture,personnel qualifications and training,difficult arteriovenous fistula puncture procedures under real-time ultrasound-guided,and nursing quality control.Conclusion The consensus is scientific,which can provide a basis for hemodialysis practitioners to practice the puncture of difficult arteriovenous fistula under real-time guidance of ultrasound.

Objective:To investigate the prevalence of sexual drug use in men who have sex with men (MSM) in Chengdu and analyze the relationship between depression and sexual drug use.Methods:A total of 1 277 MSM were recruited between November 2021 and May 2022. Questionnaire was used to collect information about their demographic characteristics, depression status and sexual drug use behavior. Univariate and multivariate logistic regression models were used to analyze the relationship between depression and sexual drug use.Results:In the 1 277 MSM, assessment identified 503 mild depression cases (39.4%), 196 moderate depression cases (15.3%) and 171 severe depression cases (13.4%) and 444 MSM (34.8%) reported sexual drug use in the past 6 months. Multivariate logistic regression models showed that compared with non-depression, mild depression (a OR=1.67,95% CI:1.24-2.23), moderate depression (a OR=1.50,95% CI: 1.02-2.19) and severe depression (a OR=1.56,95% CI:1.04-2.32) were positively associated with sexual drug use. Conclusions:The prevalence of depression and sexual drug use were high in MSM in Chengdu. There was a positive correlation between depression and sexual drug use. It is necessary to pay close attention to depression and sexual drug use and conduct targeted intervention in MSM.

Objective:To construct the user personas of the patients who practice self-management home rehabilitation after lower limb bone transport by exploring their self-management experiences and needs in rehabilitation at home so as to provide targeted countermeasures for related medical staff.Methods:A purposive sampling method was employed to select the 21 patients who had undergone home rehabilitation after lower limb bone transport at Department of Orthopedic Trauma, Nanfang Hospital from September to December 2024. The cohort included 12 males and 9 females, with an age of (39.8±15.1) years. The phenomenological research method was used to conduct semi-structured interviews with this cohort. After the data from interviews were explored by the Colaizzi 7-step analysis to extract the factual labels, role dimension models were built, covering 3 dimensions: description, characteristics (basic, cognitive, behavioral, social support, and psychological adjustment characteristics) and needs.Results:All patients were interviewed. Four user personas were constructed, including self-awareness growth type (5 cases), emotional dependency-driven type (4 cases), risk-aversion procrastination type (7 cases), and management motivation-impaired type (5 cases). The patients of self-awareness growth type were 21 to 36 years old and received high school or university education, characterized by high self-efficacy, active measures to improve and maintain their state of rehabilitation, good management of negative emotions, and a low sense of stigma. The patients of emotional low-driven type were 42 to 74 years old and received their education in a primary school or junior high school, characterized by lack of independence, dependence on others for rehabilitation management, common management of negative emotions, low self-efficacy, and a strong sense of stigma. The patients of risk-aversion procrastination type were 33 to 56 years old and received their education in a junior or senior high school, characterized by a willingness to cooperate but insufficient motivation for rehabilitation management, an awareness of rehabilitation which was vulnerable to external factors, common management of negative emotions, low self-efficacy, and a strong sense of stigma. The patients of management motivation-impaired type were 51 to 61 years old, received primary school education or lower, characterized by insufficient knowledge and poor self-management behavior, constant failure to follow the prescribed rehabilitation exercises, poor management of negative emotions, low self-efficacy, and a low sense of stigma.Conclusion:The user personas we have constructed for the patients who practice self-management home rehabilitation after lower limb bone transport can help healthcare professionals with specific targeted interventions to enhance self-management efficacy to facilitate the rehabilitation process for the patients.