Objective: To investigate the distribution of pupil diameter and its association with myopia in school age children, providing ideas into the mechanisms of the role of pupil diameter in the onset and development of myopia. Methods: Adopting a combination of stratified cluster random sampling and convenience sampling method, 3 839 children from six schools in Shandong Province were included in September 2021. Pupil diameters distribution was analyzed by age, sex, and myopic status. Pearson correlation analysis was used to assess the relationship between pupil diameter and cycloplegic spherical equivalent (SE), as well as axial length (AL) and other variables. Propensity score matching (PSM) was applied to match myopic and non myopic children at a 1∶1 ratio based on age and sex. A generalized linear model (GLM) was constructed with pupil diameter as the dependent variable to identify independent factors influencing pupil size and its association with myopia. Results: The mean pupil diameter of school age children was (5.77±0.80)mm. Pupil diameter exhibited a significant increasing trend with age ( F =49.34， P trend ＜ 0.01). Myopic children had a significantly larger mean pupil diameter [(6.10±0.73)mm] compared to non myopic children [(5.62±0.79)mm] with a statistically significant difference( t=18.10, P <0.01). Multivariable GLM analysis, adjusted for age, amplitude of accommodation, and uncorrected visual acuity, revealed a negative correlation between pupil diameter and cycloplegic SE (before PSM: β =-0.089, after PSM: β =-0.063, both P ＜0.01). Conclusions Myopic school age children exhibite larger pupil diameters than their non myopic counterparts. Pupil diameter may serve as a potential indicator for monitoring myopia development in school age children.

OBJECTIVE To establish a content determination method for multiple components in Sophora flavescens from different origins and to evaluate its quality by combining with chemometrics. METHODS Thirteen batches （No. K1-K13） of S. flavescens from different origins were selected as test samples. A high-performance liquid chromatography-tandem triple quadrupole mass spectrometry （HPLC-MS/MS） method was established to determine the contents of 12 components， including matrine， oxymatrine， betaine， cytisine， N-methylcytisine， sophoridine， genistein， sophoricoside， sophorone， formononetin， sophorolone Ⅰ and norkurarinone in S. flavescens. Chromatographic separation was performed on a Shim-pack GIST-HP C18 column with a mobile phase consisting of methanol （A） and water containing 0.1% formic acid （B）， using gradient elution at a flow rate of 0.25 mL/min， column temperature of 35 ℃， and an injection volume of 3 μL. Mass spectrometry was conducted using an electrospray ionization source with positive and negative ion scanning. Data were collected in segments using the multiple reaction monitoring mode. Technique for order preference by similarity to ideal solution （TOPSIS） and grey relational analysis （GRA）methods were employed to compare and comprehensively evaluate the 13 batches of S. flavescens from different origins. RESULTS The methodological validation for the content determination met the relevant regulatory requirements. The contents of the 12 components were 490.66-1 231.00， 11 088.10- 18 021.50， 7.91-25.38， 903.97-1 713.64， 336.08-1 485.54，1 065.33-2 075.50， 27.52-71.80， 109.36-517.83， 6 034.55-10 632.73， 21.26-145.35， 814.84-1 911.32， 1 040.87-3 446.37 μg/g）， respectively. TOPSIS results showed that the top 7 samples in Euclidean distance ranking were K6， K12， K11， K3， K5， K10， K13. The GRA results showed that the top 7 samples in the relative correlation ranking were K12， K11， K10， K6， K13， K5， K3. CONCLUSIONS The established HPLC-MS/MS method is rapid， accurate， highly sensitive， stable and reliable. Combined with chemometrics methods， it can be used for the quality control and evaluation of S. flavescens. The comprehensive quality of samples K3， K5， K6（ from Hebei）， K10（ from Sichuan）， K11-K13（ from Shanxi）， etc. is relatively superior.

Computational approaches, encompassing both physics-based and machine learning (ML) methodologies, have gained substantial traction in drug repurposing efforts targeting specific therapeutic entities. The human dopamine (DA) transporter (hDAT) is the primary therapeutic target of numerous psychiatric medications. However, traditional hDAT-targeting drugs, which interact with the primary binding site, encounter significant limitations, including addictive potential and stimulant effects. In this study, we propose an integrated workflow combining virtual screening based on weighted holistic atom localization and entity shape (WHALES) descriptors with in vitro experimental validation to repurpose novel hDAT-targeting drugs. Initially, WHALES descriptors facilitated a similarity search, employing four benztropine-like atypical inhibitors known to bind hDAT's allosteric site as templates. Consequently, from a compound library of 4,921 marketed and clinically tested drugs, we identified 27 candidate atypical inhibitors. Subsequently, ADMETlab was employed to predict the pharmacokinetic and toxicological properties of these candidates, while induced-fit docking (IFD) was performed to estimate their binding affinities. Six compounds were selected for in vitro assessments of neurotransmitter reuptake inhibitory activities. Among these, three exhibited significant inhibitory potency, with half maximal inhibitory concentration (IC₅₀) values of 0.753 μM, 0.542 μM, and 1.210 μM, respectively. Finally, molecular dynamics (MD) simulations and end-point binding free energy analyses were conducted to elucidate and confirm the inhibitory mechanisms of the repurposed drugs against hDAT in its inward-open conformation. In conclusion, our study not only identifies promising active compounds as potential atypical inhibitors for novel therapeutic drug development targeting hDAT but also validates the effectiveness of our integrated computational and experimental workflow for drug repurposing.

Ethanol (EtOH) is a common trigger for gastric mucosal diseases, and mitigating oxidative stress is essential for attenuating gastric mucosal damage. Capsaicin (CAP) has been identified as a potential agent to counteract oxidative damage in the gastric mucosa; however, its precise mechanism remains unclear. This study demonstrates that CAP alleviates EtOH-induced gastric mucosal injuries through two primary pathways: by suppressing the chemokine receptor 4 (CCR4)/Src/p47phox axis, thereby reducing oxidative stress, and by inhibiting the phosphorylation and nuclear translocation of nuclear factor-κB p65 (NF-κB) p65, resulting in diminished inflammatory responses. These findings elucidate the mechanistic pathways of CAP and provide a theoretical foundation for its potential therapeutic application in the treatment of gastric mucosal injuries.
Ethanol/toxicity* ; Animals ; Gastric Mucosa/metabolism* ; Signal Transduction/drug effects* ; Oxidative Stress/drug effects* ; Capsaicin/pharmacology* ; Male ; NADPH Oxidases/genetics* ; Mice ; Humans ; src-Family Kinases/genetics*

As the backbone force of China's social and economic construction, the health status of workers is closely related to the nation's productivity and social development. Currently, cancers have become one of the major diseases threatening the health of workers. However, there are still many shortcomings in the cancer screening services for the workers. To standardize cancer screening services for workers, ensure the quality of screening services, and improve the overall screening effectiveness, 19 institutions, including Peking Union Medical College Hospital of the Chinese Academy of Medical Sciences, have jointly formulated the Group Standard "Specification for service of cancer screening for workers (T/CHAA 023-2023)". This standard follows the principles of "legality, scientific rigor, advancement, and feasibility" and combines the frontier scientific advances in cancer screening. It clarifies the relevant requirements for service principles, service design, service delivery, service management, service evaluation, and improving worker cancer screening. Implementing this group standard will help connect the common screening needs of workers, employers, and cancer screening service providers, standardize the screening process, improve screening quality, and ultimately increase the early diagnosis rate and survival rate of cancer patients. Consequently, this group standard will help safeguard workers' health rights and interests, ensure the labor force resources, promote the comprehensive coordinated and sustainable development of society, and contribute to realizing the "Healthy China 2030" strategic policy.

Objective:To analyze the review results of salt iodine monitoring in the county-level laboratories of iodine deficiency disorders in Jinzhong City, and to learn about the quality of the monitoring in the county-level laboratories, so as to provide scientific basis for formulating iodine deficiency disorders prevention and control strategies.Methods:From 2021 to 2023, Jinzhong Center for Disease Control and Prevention used the systematic random sampling method to select 5% (15 samples each) of all edible salt samples (short for salt samples) tested by 11 county-level iodine deficiency disorders laboratories under its jurisdiction for retesting each year. The salt iodine was determined by the redox titration method in accordance with the "General Test Method in Salt Industry-Determination of Iodine" (GB/T 13025.7-2012). Comparisons between groups for count data were analyzed using the χ 2 test, and the comparisons between groups for measurement data were analyzed using a random group design t-test. Results:From 2021 to 2023, the municipal laboratories reviewed and tested 165 salt samples (495 in total over 3 years). The proportion of households using adquately iodized salt tested by county-level laboratories was 92.53% (458/495), with annual rates of 89.70% (148/165), 93.33% (154/165), and 94.55% (156/165), respectively. The proportion of households using adquately iodized salt detected by municipal laboratories was 94.95% (470/495), with annual rates of 90.91% (150/165), 96.36% (159/165), and 97.58% (161/165), respectively. There was no significant difference in the proportion of households using adquately iodized salt detected by the two-level laboratories from 2021 to 2023 (χ 2 = 2.48, P = 0.116). The proportion of salt samples with relative error > 20% in the salt iodine detection results of county-level laboratories reviewed at the municipal laboratory from 2021 to 2023 were 20.00% (33/165), 16.97% (28/165), and 8.48% (14/165), respectively. The differences between different years were statistically significant (χ 2 = 8.49, P = 0.004). Compared with 2023, in 2021 and 2022, the differences were statistically significant ( P < 0.05). The proportion of salt samples with relative error > 30% were 7.88% (13/165), 6.06% (10/165), and 3.64% (6/165), respectively. There was no significant difference among different years (χ 2 = 2.69, P = 0.101). The comparison of laboratory test results between the two-level laboratories showed statistically significant differences ( t = 6.05, P < 0.001). Among the group data reviewed, there were a total of 16 groups with statistical significance, including 4 groups in 2021, 7 groups in 2022, and 5 groups in 2023. Conclusions:The review results indicate that the quality of salt iodine monitoring in county-level laboratories in Jinzhong City continues to improve, and the testing data are authentic and reliable. In the future, training for county-level laboratory inspectors should be increased to enhance their operational skills and minimize testing result errors.

Objective To explore the adverse drug event signal of piperacillin-tazobactam(TZP)and promote rational and safe use of drugs in clinic.Methods The proportional unbalance method was used to mine the signals of all TZP adverse events(ADE)reports from the inception of FDA adverse event reporting system(FAERS)to March 2024.The basic situation of the the reported cases and the relevant information of adverse reactions were analyzed.Results A total of 20 620 513 ADE reports were obtained for the main suspected drugs,and 6 489 ADE reports were reported for TZP as the main suspected drug.543 ADE signals were mined,involving 25 system organ classifications(SOC).43 ADE signals were detected by secondary screening,and 17 ADE signals were new ADR signals.The top 5 ADE signals involved in SOC classification were skin and subcutaneous tissue disorders,general disorders and administration site reactions,various examinations,infections and infectious disease,and blood and lymphatic system disorders.The top 5 preferred terms for ADE signal number were rash,pyrexia,acute kidney injury,pruritus and thrombocytopenia.Penicillins had several ADE signals on blood and lymphatic system diseases.TZP led to thrombocytopenia with the largest number of cases,and oxacillin led to agranulocytosis with the highest proportional reporting ratio.The median treatment course of TZP induced leukopenia was 11.00 days,and the median accumulated dose was 148.50 g.The median treatment course of TZP induced agranulocytosis was 14.00 days,and the median accumulated dose was 216.00 g.The median treatment course of TZP induced thrombocytopenia was 7.00 days,and the median accumulated dose was 87.00 g.Conclusion The adverse reactions related to skin and subcutaneous tissue diseases should be paid close attention to during medication,which may be more common than those of gastrointestinal diseases.When large doses or long courses of TZP are clinically used,close attention should be paid to the adverse reactions related to blood and lymphatic system disorders to avoid serious ADE.

Objective:To assess the performance of machine learning(ML),and integrate the clinical parameters with coronary artery calcium(CAC)score of computed tomography(CT)and quantification of automated epicardial adipose tissue(EAT),so as to predict the long-term risk of myocardial infarction(MI)and cardiogenic death in asymptomatic patients.Methods:A total of 1 058 subjects with cardiovascular risk factors and without symptoms of coronary heart disease who underwent physical examination at the Fifth Medical Center of Chinese PLA General Hospital from January 2013 to October 2015 were selected as this study subjects.A long-term follow-up was conducted on them after CAC score.EAT volume and density were quantified using a fully automated deep learning method.ML extreme gradient boosting was trained by using clinical data,risk score of atherosclerotic cardiovascular disease,CAC score and automated EAT measure,and the repeated 10-fold cross validation was used to verify the model.Results:During the 8-year follow-up period,61 cases of 1 058 subjects occurred events of MI and(or)cardiac death.The area under curve(AUC)value of ML was significantly higher than that of the atherosclerotic cardiovascular disease(ASCVD)risk and the predicting events of CAC score(ML:0.82,ASCVD:0.77,CAC:0.77).Compared with ML with only clinical variable,machine learning based on ASCVD,CAC and EAT had more predictive ability for MI and cardiac death[AUC 0.82(95%CI:77-87)vs.0.78(95%CI:0.72-0.84),P=0.02].The survival rate of subjects with high ML scores had a greater decline degree with the increasing of time,therefore,the subjects with higher ML scores were more likely to experience events.Conclusion:ML,which integrated clinical and quantitative imaging variables,can provide long-term risk prediction for patients with cardiovascular risk factors.

90Y microspheres radioembolization therapy is an emerging interventional technique used for the treatment and palliative care of intermediate and advanced liver cancer, which was registered by National Medical Products Administration for imported drugs in 2022. In order to improve the tumor response rate and reduce toxic effects, the dose assessment for the tumor and healthy tissues is implemented throughout treatment. The efficiency and accuracy of estimation method are the keys to improving the therapeutic effect. This article investigated and summarized six evaluation method and their latest progress, discussed the unique advantages and applicable scenarios of each methods, and explored the possible challenges faced in clinical applications. This study would support the development and standardization of dose prediction and evaluation in radioembolization with 90Y microspheres.

Objective To investigate the clinical characteristics of 16 patients with connective tissue diseases associated interstitial lung disease(CTD-ILD)complicated with lung cancer,and to improve the cognition of the disease.Methods Clinical data of 16 patients diagnosed as CTD-ILD associated with lung cancer,who were admitted to our center,were retrospectively analyzed,including general conditions,clinical characteristics,auxiliary examinations,pathological classification of lung cancer,TNM type,treatment and clinical outcome.Results Among the 16 CTD-ILD patients with lung cancer,there were 12 males and 4 females.The mean age at diagnosis of CTD-ILD was(64.7±9.2)years,and the mean age at diagnosis of lung cancer was(66.6±8.7)years.Lung occupying space on imaging(62.5%)was the most common initial symptom in lung cancer patients,followed by cough and phlegm(12.5%)and chest pain(12.5%).Of patients with lung cancer,adenocarcinoma(8 cases,50.0%)was the most common pathological type,followed by small cell lung cancer(4 cases,25.0%).The diagnosis time of CTD-ILD was earlier than that of lung cancer in 8 cases(50.0%),with a median time of 36.0(11.3,57.0)months,followed by 7 cases(43.8%)of CTD-ILD diagnosed with lung cancer at the same time.The diagnosis time of lung cancer was earlier than that of CTD-ILD in 1 case(6.3%).The most common TNM stage for lung cancer was stage Ⅳ(9 cases,56.25%).Sixteen patients were followed up from 1 to 64 months,with a median of 8.5(1.5,14.3)months.Eleven patients(68.8%)died,including 8 patients(72.7%)died of infection and 3 patients(27.3%)died of end-stage lung cancer.Conclusion For CTD-ILD patients,close follow-up and regular imaging monitoring are necessary to help early detection of lung cancer and improve prognosis.