ObjectiveTo investigate the role and mechanism of Lck/Yes-related novel protein tyrosine kinase （Lyn） on lipopolysaccharide （LPS）-induced M1-type polarization of macrophage. MethodsThe LentiCRISPR-V2 plasmid was digested with the restriction endonuclease BSMBI-V2， and the digested DNA fragments were recovered. The digested plasmid was ligated with Lyn-sgRNA using T4 ligase to generate the Lenti-Lyn-gRNA lentivirus. THP-1 cells were infected with the Lenti-Lyn-gRNA lentivirus to obtain a stable cell line with Lyn knockout， and a monoclonal THP-1 cell line with complete Lyn knockout （Lyn^⁻/⁻） was established subsequently. Wild-type Lyn （Lyn^WT） and Lyn^⁻/⁻ THP-1 cells were induced with 100 ng/mL phorbol myristate acetate （PMA） for 48 h to differentiate into M0 macrophages， which were further polarized into M1 macrophages by stimulation with 100 ng/mL LPS for 24 h. Quantitative real-time polymerase chain reaction （qPCR） was performed to detect the expression of M0 macrophage markers， including integrin αM （CD11b）， macrophage antigen （CD68）， and monocyte differentiation antigen （CD14）. The expression of Lyn in M1 macrophages differentiated from wild-type THP-1 cells （Lyn^WT-M1） was measured by qPCR， and the ratio of phosphorylated Lyn to total Lyn （P-Lyn/Lyn） in Lyn^WT-M1 cells was determined by Western blot. In M1 macrophages differentiated from Lyn-knockout THP-1 cells （Lyn^⁻/⁻-M1）， qPCR was used to detect the mRNA expression of inducible nitric oxide synthase （iNOS）， interleukin-6 （IL-6）， and chemokine （C-X-C motif） ligand 10 （CXCL-10）. Western blot was conducted to assess the protein expression of iNOS， as well as the protein levels of molecules related to the Janus kinase 1 （JAK1）-signal transducer and activator of transcription 1 （STAT1）signaling pathway， including JAK1， phosphorylated JAK1 （P-JAK1）， STAT1， and phosphorylated STAT1 （P-STAT1）. Additionally， the expression of the M1 macrophage marker cluster of differentiation 80 （CD80） was analyzed by flow cytometry. ResultsThe Lyn^-/- monoclonal cell line was successfully constructed. The expression of CD11b was significantly elevated in Lyn^-/- M0 macrophages， and the differentiation of M1 macrophages was successful. Knockdown of Lyn inhibited mRNA expression of iNOS， IL⁃6， CXCL⁃10， protein expression of iNOS and CD80 expression in M1 macrophages （P<0.05）. Western blot assay showed that Lyn knockdown inhibited protein expression of JAK1 and P-STAT1 （P<0.01）. ConclusionAfter CRISPR/Cas9-mediated Lyn knockout， the expression levels of JAK1 and P-STAT1， the key molecules in the JAK/STAT signaling pathway of M1 macrophages， are significantly downregulated； concomitantly， the expression of M1 macrophage-specific secretory factors （iNOS， IL⁃6， CXCL⁃10 mRNA） and CD80 is also downregulated， which may be achieved via targeted regulation of the JAK1/P-STAT1-mediated JAK/STAT signaling pathway.

OBJECTIVE To formulate the Hazardous Drug List in China， and provide a scientific basis for standardizing the management of hazardous drugs， preventing and controlling occupational exposure risks in medical institutions at all levels in China. METHODS Under the joint organization of the Intravenous Medication Admixture Management Professional Committee of the Chinese Pharmaceutical Association and the National Medical Quality Control Center for Pharmaceutical Management， based on literature research and international hazardous drug lists and their development procedures， the scope of hazardous drug selection， selection principles， and evidence confirmation criteria were determined through expert panel seminars and expert questionnaire survey method （Delphi method）. Chemical drugs， biological agents， and Chinese patent medicines marketed in China that met the selecti on principles were screened to form the Chinese Expert Consensus on the Hazardous Drug List . RESULTS Five principles for selecting hazardous drugs were established （including protective labeling in package inserts， carcinogenicity， reproductive toxicity， genotoxicity， and organ toxicity at low doses）， along with the corresponding evidence confirmation criteria. The Hazardous Drug List containing 210 drugs was formulated， covering anti-tumor drugs， endocrine system drugs， nervous system drugs， immunomodulators， anti-infective drugs， cardiovascular system drugs， hematological system drugs， urinary system drugs， obstetrics and gynecology drugs， dermatological drugs and other categories. Compared with international hazardous drug lists， 25 newly included hazardous drugs were added， including 15 anti-tumor drugs， 6 Chinese patent medicines and 4 biological agents. In addition， 88 Chinese patent medicines that may have potential occupational exposure risks are listed in the appendix for reference by medical institutions in management. CONCLUSIONS The development of this consensus closely aligns with the actual clinical drug use in China， with a scientific and rigorous methodology， and can serve as a reference for medical institutions at all levels to standardize the management of hazardous drugs and prevent and control occupational exposure risks.

Objective: To analyze respiratory syncytial virus(RSV) outbreaks surveillance results and the epidemiological characteristics in kindergarten and school in Shenzhen during 2017-2023 , so as to provide a scientific reference for control and prevention of RSV. Methods: Epidemiological data and surveillance results of RSV outbreaks in kindergarten and school from 2017 to 2023 were collected for descriptive analyses. Results: A total of 31 RSV outbreaks were identified in kindergarten and school in 2017-2023 in Shenzhen, 346 cases were reported, the average incidence rate was 22.02%. The most annual RSV outbreaks were reported in 2020 with 14 outbreaks, followed by 8 outbreaks in 2023. A total of 64.52% of RSV outbreaks were identified in kindergarten with rest occurring in primary school or middle school. The greatest monthly count of outbreak was 18 (58.06%) in September, followed by 3 outbreaks (9.68%) in March and October. A total of 244 swab samples were collected, 169 samples were positive for respiratory viruses, the positive rate was 69.26%, 121 samples were positive for RSV,from 31 respiratory syncytical virus outbreaks 57 and samples were positive for other respiratory viruses(9 samples were positive for two respiratory viruses). A toral of 14(45.16%) outbreaks are caused by RSV alone, 17 outbreaks (54.84%) were caused by RSV and other respiratory viruses. Conclusions Most RSV outbreaks in kindergarten and school are reported after 2020 in Shenzhen, most RSV outbreaks occur in kindergarten, peak seasons of RSV outbreaks are autumn and spring.

Background and Aims:Polycystic ovary syndrome(PCOS)is a common endocrine disorder among obese women,often accompanied by psychological issues such as anxiety and depression.Laparoscopic sleeve gastrectomy(LSG)is an effective treatment for obesity and its related metabolic conditions,and has shown clear benefits in improving weight and metabolic profiles in PCOS patients.However,the potential mechanisms by which psychological status may affect weight loss outcomes remain unclear.This study aimed to evaluate the psychological characteristics of obese patients with PCOS and explore their impact on postoperative weight loss outcomes,in order to provide evidence for individualized intervention strategies.Methods:Female obese patients scheduled for LSG between November 2020 and September 2022 were enrolled and divided into PCOS and non-PCOS groups.Standardized psychological scales were used to assess anxiety,depression,self-esteem,and eating behaviors.Weight loss outcomes were recorded at 6 and 12 months postoperatively.Propensity score matching was used to control for confounding factors such as age and body mass index(BMI),and correlation analysis was conducted to explore the relationship between psychological status and weight loss outcomes.Results:A total of 314 patients were included,with 130 cases(41.4％)in the PCOS group.Before matching,the PCOS group had significantly worse psychological indicators and lower weight loss outcomes compared to the non-PCOS group(all P＜0.05);after matching,these differences were no longer statistically significant(all P＞0.05).Emotional eating was positively correlated with 12-month weight loss outcomes in the PCOS group,while anxiety and internalized weight stigma were associated with weight loss outcomes in the non-PCOS group(P＜0.05).Additionally,among patients with moderate and extreme obesity,weight loss outcomes in the PCOS group were superior to those in the non-PCOS group(P＜0.05).BMI was negatively correlated with self-esteem,eating behaviors,and quality of life(all P＜0.05).Conclusion:Obese patients with PCOS exhibit notable psychological distress.However,after controlling for BMI and age,their psychological status and weight loss outcomes are comparable to those of non-PCOS patients.BMI may serve as an important confounding factor,and psychological factors may influence weight loss indirectly through eating behaviors.Preoperative psychological screening and intervention are recommended.

Neoplasms characterized by the expression of markers of neuroendocrine differentiation in neoplastic cells are defined as neuroendocrine neoplasms. A case of neuroendocrine carcinomas (NECs) with a small amount of papillary adenocarcinoma and significantly vacuolar nucleus at the esophagogastric junction was reported in this article. A 77-year-old male had dysphagia for one week. Endoscopy revealed early-stage esophagogastric junction carcinoma, and biopsy was diagnosed as poorly differentiated carcinoma. Endoscopic submucosal dissection was performed. Histologically, the papillary adenocarcinoma progresses from typically branching papillary structures (well-differentiated) to hyperplasia of the lining epithelium of the papilla to form a cribriform structure (moderately differentiated), to solid area lacking papillary structures (poorly differentiated). There was a continuous process, and during this process, the vacuoles in the nuclei of tumor cells showed progressive changes from mild to obvious and finally to significant vacuoles. The tumor was mainly composed of solid areas (about 95%), with single cell, large cell, round or oval to irregular nuclei, and significantly vacuolar nuclei, nuclei with larger vacuoles appeared in a loop, a few thin weakly basophilic or weakly eosinophilic fine particles could be seen in the vacuoles, and the vacuoles had rough edges. The nucleus chromatin at the outer edge of the vacuoles was fine particles, and mitosis was common (20-30/mm²), atypical mitosis could be seen, and nucleoli could be seen easily, the cytoplasm was weakly eosinophilic, and the boundaries of cells were unclear. The cells were arranged in a nested, trabecular, or diffuse sheet shape, with some arranged in a glandular tube shape. Tumor thrombus was found in the vein of submucosa; the interstitial tissue rich in capillaries within the tumor was accompanied by a large number of neutrophil infiltration. Immunohistochemical staining showed that the solid area of the tumor was positive for synaptophysin (Syn) and chromogranin A (CgA), while papillary adenocarcinoma was negative. Mucin 5AC (MUC5AC) was diffusely positive in papillary adenocarcinoma, while the proportion of positive cells in the solid area of the tumor was about 10% to 15%. In a word, this case showed the extreme situation of the vacuolar nuclear characteristics of NECs, extremely rare, in a sense, this case expanded the boundary of the morphological spectrum of NECs. Understanding the extreme vacuolar features of this nucleus is helpful to make a correct pathological diagnosis.
Humans ; Male ; Esophagogastric Junction/pathology* ; Aged ; Carcinoma, Neuroendocrine/pathology* ; Vacuoles/pathology* ; Esophageal Neoplasms/pathology* ; Cell Nucleus/pathology* ; Adenocarcinoma, Papillary/pathology* ; Stomach Neoplasms/pathology*

Objective:To develop and validate a clinical prediction model for assessing the risk of postoperative pulmonary complications (PPCs) in elderly patients undergoing surgery with general anesthesia.Methods:This prospective observational study enrolled patients aged ≥65 years who underwent general anesthesia with mechanical ventilation duration >3 hours across six tertiary hospitals between December 2022 and August 2023. Based on follow-up outcomes (until discharge or postoperative day 7), patients were categorized into a non-PPCs group and a PPCs group. Detailed records included baseline patient characteristics, preoperative comorbidities, surgical information (type, duration), and bedside lung ultrasound scores (LUS) assessed within 24 hours postoperatively using a standardized 12-zone protocol. Predictor selection was performed using LASSO regression. Significant predictors identified were incorporated into a multivariate logistic regression analysis to build the prediction model, visualized as a nomogram. Internal validation was conducted via bootstrap resampling (1 000 repetitions). Model performance was evaluated using the area under the receiver operating characteristic curve (AUC) for discrimination, calibration curves for calibration accuracy, and decision curve analysis (DCA) for clinical utility.Results:A total of 130 eligible elderly surgical patients were included. PPCs occurred in 17 patients (incidence rate: 13.1%). Multivariate analysis identified LUS ( OR=1.248, 95% CI: 1.099-1.417, P=0.001) and elective surgery type ( OR=0.206, 95% CI: 0.043-0.988, P=0.048) as independent predictors of PPCs. The nomogram model demonstrated an AUC of 0.867 (95% CI: 0.775-0.959) upon initial testing. Internal validation confirmed good discrimination (AUC=0.863, 95% CI: 0.778-0.972). Calibration curves indicated excellent agreement between predicted probabilities and observed outcomes. Decision curve analysis demonstrated significant clinical net benefit across a wide range of threshold probabilities (0.03-0.89). Conclusions:The clinical prediction model, developed using early postoperative LUS scores and surgical type, effectively predicts the risk of postoperative pulmonary complications in elderly patients following surgery under general anesthesia. The model exhibits strong discrimination, calibration, and clinical utility, providing clinicians with a reliable tool for individualized risk assessment to support clinical decision-making and potentially reduce PPC incidence.

OBJECTIVE: To explore the relationship between the geriatric nutritional risk index (GNRI) and cognitive function. METHODS: A cross-sectional study method was conducted. People aged ≥ 60 years from the National Health and Nutrition Examination Survey (NHANES) databases from 1999 to 2002 and 2011 to 2014 were included as study subjects. The participants were divided into three groups based on their GNRI scores: a medium-high risk group (82 ≤ GNRI < 92), a low risk group (92 ≤ GNRI < 98), and a no-risk group (GNRI ≥ 98). Demographic characteristics (gender, age, race, education), chronic diseases [chronic bronchitis, emphysema, thyroid problems, coronary heart disease, angina pectoris, stroke, hypertension, diabetes mellitus, and depression score on the patient health questionnaire (PHQ-9)], lifestyle habits (history of smoking, hours of sleep), etc., were collected. Cognitive function was assessed using the consortium to establish a registry for Alzheimer's disease word learning subtest (CERAD-WL), animal fluency test (AFT), and digit symbol substitution test (DSST) for the 2011-2014 data, while only the DSST was used for the 1999-2002 data. Differences in the above information among the GNRI cohorts were compared. Factors affecting cognitive function in the population were analyzed using multifactorial Logistic regression. RESULTS: 2 653 participants from 2011 to 2014 and 2 380 participants from 1999 to 2002 were enrolled, with a total of 5 033 participants in the study. There were statistically significant differences in age, stroke, diabetes mellitus, DSST score, AFT score, CERAD score test 1 recall (Cst1), and CERAD score test 2 recall (Cst2) among the GNRI groups. Multifactorial Logistic regression analysis of data from 2011 to 2014 showed that in model 3 (DSST score, age, gender, race, marriage, education, hours of sleep, history of smoking, emphysema, thyroid problems, chronic bronchitis, coronary heart disease, angina pectoris, hypertension, diabetes mellitus, depression score on the PHQ-9, and stroke) adjusted for all covariates, GNRI was a protective factor for DSST [odds ratio (OR) = 1.03, 95% confidence interval (95%CI) was 1.00 to 1.05, P = 0.03]; Logistic regression analyse for 1999 to 2002 and 2011 to 2014 showed a significant association even after adjustment for covariates (OR = 1.02, 95%CI was 1.00 to 1.03, P = 0.02). Subgroup Logistic regression analyses of the total population from 2011 to 2014 showed a significant association between GNRI and DSST scores (OR = 1.02, 95%CI was 1.01 to 1.03, P < 0.001), with significant associations in the age subgroups of 60 to 64 years old, across gender, non-Hispanic Whites and Blacks, by education, and by marital status associations were significant (all P < 0.05). Subgroup Logistic regression analyse of the total populations from 1999 to 2002 and 2011 to 2014 showed a significant association between the GNRI and DSST score (OR = 1.01, 95%CI was 1.01 to 1.02, P < 0.001), but did not show a significant year difference (interaction P = 0.503), and the newly found in the smoking population the association was also more significant (P < 0.01). CONCLUSION The GNRI correlates with the presence of cognitive functions related to processing speed, sustained attention, and executive function, and may be able to serve as an indicator for the assessment or prediction of related cognitive functions.
Humans ; Cross-Sectional Studies ; Aged ; Middle Aged ; Nutrition Surveys ; Cognition ; Female ; Male ; Nutritional Status ; Risk Factors ; Geriatric Assessment

Accurate prediction of drug-target interactions (DTIs) plays a pivotal role in drug discovery, facilitating optimization of lead compounds, drug repurposing and elucidation of drug side effects. However, traditional DTI prediction methods are often limited by incomplete biological data and insufficient representation of protein features. In this study, we proposed KG-CNNDTI, a novel knowledge graph-enhanced framework for DTI prediction, which integrates heterogeneous biological information to improve model generalizability and predictive performance. The proposed model utilized protein embeddings derived from a biomedical knowledge graph via the Node2Vec algorithm, which were further enriched with contextualized sequence representations obtained from ProteinBERT. For compound representation, multiple molecular fingerprint schemes alongside the Uni-Mol pre-trained model were evaluated. The fused representations served as inputs to both classical machine learning models and a convolutional neural network-based predictor. Experimental evaluations across benchmark datasets demonstrated that KG-CNNDTI achieved superior performance compared to state-of-the-art methods, particularly in terms of Precision, Recall, F1-Score and area under the precision-recall curve (AUPR). Ablation analysis highlighted the substantial contribution of knowledge graph-derived features. Moreover, KG-CNNDTI was employed for virtual screening of natural products against Alzheimer's disease, resulting in 40 candidate compounds. 5 were supported by literature evidence, among which 3 were further validated in vitro assays.
Alzheimer Disease/drug therapy* ; Biological Products/therapeutic use* ; Humans ; Neural Networks, Computer ; Machine Learning ; Drug Discovery/methods* ; Algorithms ; Drug Evaluation, Preclinical/methods*

Objective To investigate the factors influencing the efficacy of intravesical Bacille Calmette-Guérin(BCG)instillation after transurethral resection of bladder tumor(TURBT)in patients with intermediate-and high-risk non-muscle invasive bladder cancer(NMIBC),and to construct a prediction model for recurrence after BCG treatment.Methods A retrospective cohort study was conducted on the subjected patients diagnosed with intermediate-and high-risk NMIBC undergoing TURBT followed by standard BCG instillation.The 110 patients treated in Department of Urology of Army Medical Center of PLA from January 2018 to December 2023 were assigned into a training set,while the 52 patients treated at Department of Urology of General Hospital of Central Theater Command from January 2015 to December 2020 were into an external validation set.A total of 17 variables were included and analyzed.Univariate and multivariate Cox regression analyses were performed to identify factors associated with recurrence after BCG instillation,and nomograms were plotted to predict 1-year,3-year,and 5-year recurrence-free survival(RFS).Calibration curve,decision curve analysis(DCA),and receiver operating characteristic(ROC)curve analysis were conducted for internal and external validation to evaluate the predictive performance and clinical utility of the model.Results In the training set,26 patients(23.64%)experienced recurrence during the follow-up period,with a median RFS of 32.00(18.00～50.50)months.Univariate Cox regression analysis suggested that platelet count,eosinophil to lymphocyte ratio(ELR),neutrophil to lymphocyte ratio(NLR),platelet to lymphocyte ratio(PLR),systemic immune inflammation(SII)index,and neutrophil-monocyte to lymphocyte ratio(NMLR),pathological T1 stage(pT1)tumor and hemoglobin,albumin,lymphocyte,and platelet(HALP)score were potential factors influencing recurrence after BCG instillation.Multivariate Cox regression analysis identified high HALP score(HR=0.185,95%CI:0.046～0.736,P=0.017)as an independent protective factor,while high ELR(HR=3.599,95%CI:1.505～8.608,P=0.004)and pT1 stage(HR=3.240,95%CI:1.191～8.818,P=0.021)were independent risk factors for recurrence.Based on this,a nomogram prediction model was constructed.The calibration curves demonstrated good agreement between predicted and actual 1-,3-,and 5-year recurrence risks.Decision curve analysis indicated clinical utility across a wide threshold probability range.In the training set,the model showed strong predictive performance for 1-(AUC=0.842),3-(AUC=0.847),and 5-year(AUC=0.887)recurrence risks,which was further validated in the external cohort.Conclusion Higher HALP score prior to BCG instillation therapy is a protective factor against tumor recurrence,while higher ELR and pT1 stage are risk factors.Our nomogram prediction model based on HALP score,ELR and pathological T stage,can identify individuals at high risk of recurrence after BCG instillation therapy.

Objective To investigate risk factors for residual lesions after initial transurethral resection of bladder tumors(TURBT)and risk factors for tumor recurrence after second TURBT in patients with non-muscle-invasive bladder cancer(NMIBC)in order to provide reference for clinical management.Methods A case-control study design was adopted to include 120 NMIBC patients who underwent initial TURBT and then second surgery within 2～8 weeks in our department from January 2017 to January 2025.Based on the presence of residual lesions after the initial TURBT or not,the patients were divided into a residual lesion group(n=34)and a non-residual lesion group(n=86).Chi-square test and multivariate logistic regression analysis were performed to identify potential risk factors for residual lesions following the initial TURBT.Univariate and multivariate Cox regression models were used to analyze potential risk factors for tumor recurrence after the second TURBT.Results The residual lesion rate after initial TURBT was 28.33％.Chi-square test analysis revealed that tumor stage T1(Chi-square=5.756,P=0.016)and broad tumor base(Chi-square=4.331,P=0.037)were factors influencing residual lesions after initial TURBT.Multivariate logistic regression analysis identified tumor stage T1(OR=3.047,95％CI:1.128～8.226,P=0.028)as an independent risk factor for residual lesions after initial TURBT.The tumor recurrence rate after second TURBT was 17.5％.Multivariate Cox regression analysis identified tumor stage T1(OR=4.258,95％CI:1.248～14.532,P=0.021),intravesical chemotherapy instillation after second TURBT(OR=3.539,95％CI:1.284～9.752,P=0.015),history of urinary system tumors(OR=3.002,95％CI:1.145～7.873,P=0.025)and high platelet-to-lymphocyte(PLR)ratio(OR=2.798,95％CI:1.115～7.023,P=0.028)as independent risk factors for tumor recurrence after second TURBT.Conclusion Tumor stage T1 and broad tumor base are risk factors for residual lesions after initial TURBT,while tumor stage T1,intravesical chemotherapy instillation after second TURBT,history of urinary system tumors and high PLR ratio are risk factors for tumor recurrence after second TURBT.Comprehensive analysis on above 4 indicators can effectively assess the risk of tumor recurrence in NMIBC patients following second TURBT,and timely early medical intervention is beneficial for improving patient outcomes.