Background Both productive dust and noise are occupational hazards, and each can induce changes in blood glucose levels among workers. Objective To explore the potential interactive effects of exposure to productive dust and noise on the risk of hyperglycemia among automobile manufacturing workers. Methods Using a cluster sampling method, workers undergoing occupational health examination from three automobile manufacturing plants in Wuhan in 2022 were selected. Basic information was collected using a questionnaire designed by the Chinese Center for Disease Control and Prevention. Exposure history was obtained through occupational history interviews. Clinic indicators such as blood pressure, blood lipids, fasting blood glucose (FBG), and fatty liver status, were retrieved from examination records. Hyperglycemia was defined as FBG > 6.1 mmol·L^-1. Logistic regression models analyzed the independent effects of occupational noise and dust exposure, while additive and multiplicative interaction models assessed their interactive effects on hyperglycemia. Results The prevalence of hyperglycemia among the 1223 participants was 7.7%. Logistic regression showed that using workers without exposure as reference, the odds ratios (OR) and 95% confidence intervals (CI) for hyperglycemia among workers exposed only to dust, only to noise, and to both were 2.15 (1.90, 4.23), 2.23 (1.40, 5.08), and 3.75 (1.95, 7.24), respectively. A linear association was observed between the duration of noise exposure and blood glucose levels (P<0.05). Interaction analysis showed no multiplicative interaction or additive interaction. Conclusion Exposure to productive dust and noise are independent risk factors for hyperglycemia among workers. While both contribute to increased risk, no significant synergistic interaction is observed.

OBJECTIVES: To investigate the relationship between the polygenic risks for various psychiatric disorders and clinical and neuropsychological characteristics in children with attention-deficit/hyperactivity disorder (ADHD). METHODS: Using a cross-sectional design, 285 children with ADHD and 107 healthy controls were assessed using the Child Behavior Checklist, the Behavior Rating Inventory of Executive Function for parents, the Wechsler Intelligence Scale for Children, Fourth Edition, and the Cambridge Neuropsychological Test Automated Battery. Blood samples were collected for genetic data. Polygenic risk scores (PRSs) for various psychiatric disorders were calculated using the PRSice-2 software. RESULTS: Compared with the healthy controls, the children with ADHD displayed significantly higher PRSs for ADHD, major depressive disorder, anxiety disorder, and obsessive-compulsive disorder (P<0.05). In terms of daily-life executive function, ADHD-related PRS was significantly correlated with the working memory factor; panic disorder-related PRS was significantly correlated with the initiation factor; bipolar disorder-related PRS was significantly correlated with the shift factor; schizophrenia-related PRS was significantly correlated with the inhibition, emotional control, initiation, working memory, planning, organization, and monitoring factors (P<0.05). The PRS related to anxiety disorders was negatively correlated with total IQ and processing speed index (P<0.05). The PRS related to obsessive-compulsive disorder was negatively correlated with the processing speed index and positively correlated with the stop-signal reaction time index of the stop-signal task (P<0.05). CONCLUSIONS PRSs for various psychiatric disorders are closely correlated with the behavioral and cognitive characteristics in children with ADHD, which provides more insights into the heterogeneity of ADHD.
Humans ; Attention Deficit Disorder with Hyperactivity/genetics* ; Child ; Male ; Female ; Cross-Sectional Studies ; Neuropsychological Tests ; Multifactorial Inheritance ; Adolescent ; Mental Disorders/etiology* ; Executive Function ; Genetic Risk Score

The diagnosis of hematological disorders is currently established from the combined results of different tests, including those assessing morphology (M), immunophenotype (I), cytogenetics (C), and molecular biology (M) (collectively known as the MICM classification). In this workflow, most of the results are interpreted manually (i.e., by a human, without automation), which is expertise-dependent, labor-intensive, time-consuming, and with inherent interobserver variability. Also, with advances in instruments and technologies, the data is gaining higher dimensionality and throughput, making additional challenges for manual analysis. Recently, artificial intelligence (AI) has emerged as a promising tool in clinical hematology to ensure timely diagnosis, precise risk stratification, and treatment success. In this review, we summarize the current advances, limitations, and challenges of AI models and raise potential strategies for improving their performance in each sector of the MICM pipeline. Finally, we share perspectives, highlight future directions, and call for extensive interdisciplinary cooperation to perfect AI with wise human-level strategies and promote its integration into the clinical workflow.

Nitrofurantoin(NFT)is a nitrofuran antibiotic commonly used as a veterinary drug to treat bacterial infections in animals.However,due to the low solubility and bioaccumulation properties,NFT is prone to leave excessive residues in animal-derived foods and water systems,posing serious threats to human health and ecosystems.Therefore,there is an urgent need to develop an efficient and rapid detection method for NFT.In this work,nitrogen-doped carbon nanomaterials with unique bowl-like structures(N-CNBs)were synthesized via a hydrothermal-carbonization method.The morphology,surface structure,and specific surface area of N-CNBs were characterized using transmission electron microscopy(TEM),scanning electron microscopy(SEM),and X-ray photoelectron spectroscopy(XPS).The N-CNB modified glassy carbon electrode(N-CNB/GCE)was prepared,and the electrochemical test revealed that the N-CNB/GCE exhibited higher conductivity and larger electrochemical active surface area compared to bare GCE and nitrogen-doped hollow carbon nanosphere-modified electrode(N-HCNS/GCE).Additionally,the N-CNB/GCE demonstrated superior electrocatalytic activity toward NFT.An NFT electrochemical sensor was constructed based on N-CNB/GCE.The detection conditions of the sensor were optimized,and differential pulse voltammetry(DPV)was employed for NFT detection under optimal experimental conditions.The established NFT electrochemical sensor had a wide linear range of 0.4-500 μmol/L,a low detection limit(S/N=3)of 0.015 μmol/L and high selectivity,with excellent stability and reproducibility.The practical feasibility of this sensor was confirmed by analysis of NFT in milk and tap water samples,with spiked recoveries ranging from 94.2%to 108.9%.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To analyze the clinical characteristics and cytokines expression characteristics in infants with mild and severe respiratory syncytial virus (RSV) infection.Methods:From May 2023 to December 2023, plasma samples and clinical information were collected from 16 infants with RSV infection and 14 control infants. Cytek Aurora flow cytometry (Cytek, America) and Enzyme linked immunosorbent assay (ELISA) were used to detect the expression levels of 25 cytokines after mild and severe RSV infection.Results:Cough and nasal obstruction were the main clinical manifestations in infants with mild RSV infection, accompanied by polypnea, wheezing and other symptoms. The main symptoms of severe RSV infection were cough and rales, accompanied by fever and polypnea. In comparison with the control group, the expression levels of IL-2, IL-4, IL-5, IL-6, IL-9, IL-13, IL-22, TNF-α, IFN-α, IFN-β, MIP-1β, I-TAC, ENA-78, GROα, Eotaxin, and MCP-1 in the RSV infection group all exhibited an upregulation trend. Both IP-10 and MIP-3α demonstrated a downward trend in the RSV infection group; however, there was no statistically significant difference ( P>0.05). The levels of IL-10, IFN-γ, MIP-1α, and IL-8 in the RSV infection group were significantly higher than those in the control group, whereas the levels of MIG, TARC, and RANTES in the RSV infection group were significantly lower than those in the control group ( P<0.05). The levels of IL-2, IL-4, IL-5, IL-6, IL-9, IL-10, IL-13, IL-22, IFN-β, IFN-γ, TNF-α, IL-8, I-TAC, MIP-1β, Eotaxin, and MCP-1 in the mild RSV infection group were significantly higher than those in the severe RSV infection group ( P>0.05). Among these, the levels of MIG, RANTES, TARC, MIP-3α, and ENA-78 in the mild infection group were all lower than those in the severe infection group. The expressions of ENA-78 and MIP-1α in the severe infection group were significantly higher than those in the mild infection group and also higher than those in the control group. There was no significant difference in IP-10 and GROα between the mild and severe RSV infection groups ( P>0.05). Conclusions:The differences in clinical features and cytokines between infants with mild and severe RSV infection provide important data support for the prevention and treatment of RSV infection in infants.

Objective To explore the predictive value of coronary artery calcium score(CACS)combined with C-X-C motif chemokine ligand 12(CXCL12)and soluble CD40 ligand(sCD40L)for major adverse cardiovascular events(MACE)within 5 years in patients with stable coronary artery disease(SCAD).Methods A total of 206 elderly SCAD patients admitted in our depart-ment from March 2015 to November 2018 were recruited,and according to whether MACE occurred within 5 years of follow-up,they were divided into MACE group(42 cases)and control group(164 cases).Multivariate logistic regression analysis was performed to identify the inde-pendent predictors of MACE.ROC curve analysis was applied to evaluate the predictive value of the combined model,and its area under curve(AUC)value was calculated.Results Compared with the control group,the MACE group had significantly older age,larger proportions of hyper-tension and diabetes mellitus,higher CACS,and elevated CXCL12 and sCD40L levels(P＜0.05,P＜0.01).Multivariate logistic regression analysis revealed that age,hypertension,diabetes melli-tus,CACS,CXCL12 and sCD40L were independent risk factors for MACE in the elderly SCAD patients within 5 years(P＜0.05,P＜0.01).ROC curve analysis indicated that the AUC value of CACS,CXCL12,sCD40L,and these three indicators combined together in predicting MACE in elderly SCAD patients within 5 years was 0.872(95％CI:0.819-0.915),0.768(95％CI:0.704-0.824),0.726(95％CI:0.660-0.786),and 0.935(95％CI:0.893-0.965),respectively,with the value of the combination obviously higher than that of each indicator alone(P＜0.01).Conclusion Increased CACS,CXCL12 and sCD40L have predictive value for MACE in elderly SCAD patients,and the combination of the three indicators has obvious advantages in the prediction.

Objective To investigate the role of cathepsin K(CTK)and secreted frizzled-related protein 2(sFRP2)in ventricular remodeling in very old patients with acute myocardial infarction(AMI)after percutaneous coronary intervention(PCI),and analyze the correlation.Methods A total of 192 very old AMI patients undergoing PCI in our department from January 2020 to December 2023 were recruited,and based on clinical outcomes at 6 months after surgery,they were assigned into a ventricular remodeling group(74 cases)and a non-ventricular remodeling group(118 cases).The clinical data and postoperative biochemical indicators were collected in the two groups.Multivariate logistic regression analysis was performed to assess the correlation between CTK and sFRP2 levels and ventricular remodeling.ROC curves were plotted to analyze the predictive value of CTK and sFRP2 in ventricular remodeling.Results The ventricular remodeling group had significantly longer length of hospital stay,larger left ventricular end-diastolic diameter,and higher levels of CTK,sFRP2,C-reactive protein(CRP)and IL-6,but lower left ventricular ejection fraction than the non-ventricular remodeling group(P＜0.05,P＜0.01).Multivariate logistic regression analysis suggested that CTK and sFRP2 were independent risk factors for postoperative ventricular remodeling in very old AMI patients(P＜0.01).ROC curve analysis manifested that the area under curve value of CTK,sFRP2,CRP and IL-6 combined together in predicting ventricular remodeling in very old AMI patients after PCI was 0.892,with a sensitivity of 79.73％and a specificity of 88.14％(P＜0.01).Conclusion CTK and sFRP2 are significantly increased in ventricular remodeling in very old AMI patients after PCI,and are closely related to the occurrence of ventricular remodeling.They can be used as potential biomark-ers in the prediction of ventricular remodeling and provide important reference for clinical diagno-sis and treatment.

Organic ultraviolet absorbers (OUVs) have been widely used in personal care products and industrial products due to their unique physicochemical properties. However, with the advancement of science and technology and the deepening of research, the potential risks of OUVs have gradually emerged. They have been proven to be persistent, bioconcentrated and potential endocrine disruptors that may pose a threat to human health. In recent years, some OUVs have been widely detected in environmental and human samples worldwide, and the concentration of detection has been increasing year by year, which has attracted extensive attention both domestically and internationally. This article summarizes the research results of OUVs exposure in recent years from two aspects: external environmental exposure and internal human exposure, aiming to provide a valuable reference for the subsequent research on human exposure and health risk assessment of OUVs.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.