With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

ObjectiveTo construct an evaluation index system for public health emergency response capacity within the healthcare-associated infection prevention and control systems using the Delphi method, and to provide a basis for infection control management in municipal hospitals. MethodsBased on literature analyses and theoretical researches, a preliminary evaluation index system for response capacity was constructed. The Delphi method was employed to conduct two rounds of consultation with 17 experts. The Analytic Hierarchy Process (AHP) was used to calculate the weights of the indicators. ResultsThe effective questionnaire return rates for both rounds of expert consultation were 100%. The expert authority coefficients for the first and second rounds were 0.97 and 0.95, respectively. Kendall’s W coefficients ranged from 0.31 to 0.58 in the first round and from 0.45 to 0.58 in the second round, with all differences being statistically significant (P<0.01). After two rounds of expert consultation, the municipal-level hospital infection prevention and control system emergency response capacity evaluation index system was finalized, comprising 5 first-level indicators, 18 second-level indicators and 59 third-level indicators. ConclusionThe constructed public health emergency response capacity evaluation index system for municipal-level hospital infection prevention and control systems demonstrates strong scientific rigor, reliability, and practicality, providing a theoretical foundation and valuable reference for enhancing the infection prevention and control capacity of municipal-level hospitals.

OBJECTIVE To mine the risk signals associated with erectile dysfunction （ED） related to antihypertensive drugs based on real-world data， and to provide a reference for the safe clinical use and risk monitoring of these drugs.METHODS Reports of ED associated with 15 target antihypertensive drugs were extracted from the US FDA Adverse Event Reporting System （FAERS） database， covering the period from the first quarter of 2004 to the first quarter of 2026. Three proportional disproportionality measures （reporting odds ratio， proportional reporting ratio， and empirical Bayesian geometric mean） were used to mine the risk signals for ED associated with various antihypertensive drugs， and stratified analyses were performed based on patient age and body weight.RESULTS A total of 997 ED reports associated with 15 antihypertensive drugs were included. The majority were male patients （931 reports）， with age concentrated in the 18 to ＜65 years group （511 reports）， body weight in the 50 to ＜100 kg group （366 reports）， and reporters predominantly consumers/patients （497 reports）. The top three drugs by number of reports were amlodipine （413 reports）， metoprolol （133 reports）， and valsartan （82 reports）； the overall demographic distribution characteristics of reports associated with each drug were similar. Positive signals were detected for 8 drugs， including amlodipine and metoprolol. ED associated with atenolol， candesartan， metoprolol， hydrochlorothiazide， and losartan mostly occurred within 30 days after medication； ED associated with valsartan and perindopril mostly occurred over 360 days after medication； and the onset time of amlodipine-associated ED was evenly distributed across all time periods. There were a total of 835 serious reports， with calcium channel blockers （CCBs） accounting for the highest proportion （44.0%） and angiotensin-converting enzyme inhibitors for the lowest （3.7%）. The intensity of risk signals for amlodipine-associated ED increased with advancing age and higher body weight， while the signals for metoprolol were most pronounced in individuals aged 45 to ＜60 years and weighing≥100 kg； positive signals for valsartan were observed only in individuals aged≥60 years and those weighing 50 to ＜75 kg or ≥100 kg.CONCLUSIONS Reports of ED associated with antihypertensive drugs exhibit significant heterogeneity across drug types and differences in the distribution of onset times； CCBs have the highest proportion of serious reports； and the relationship between ED risk signals associated with amlodipine， metoprolol， and valsartan and age and body weight also shows marked heterogeneity.

Background Polycyclic aromatic hydrocarbons (PAHs) are significant organic components of PM_2.5 and exhibit carcinogenic and mutagenic properties. Long-term exposure to high level of atmospheric particulate matter and particle-bound PAHs may contribute to the burden of environmentally related diseases in China. Objective To characterize PM_2.5 concentrations and PM_2.5-bound PAHs in three districts of Guangzhou from 2016 to 2024, and to assess the incremental lifetime cancer risk (ILCR) associated with inhalation exposure to PAHs among different population groups. Methods PM_2.5 samples were collected monthly from the 10th to the 16th day of each month at rooftop monitoring sites on office buildings in Yuexiu, Conghua, and Panyu districts between 2016 and 2024. PM_2.5 concentrations were measured, and 16 priority PAHs were quantified using high-performance liquid chromatography (HPLC). Seasonal and regional variations in PM_2.5 and PAH concentrations were analyzed using the Kruskal-Wallis test. Potential PAH sources were identified using diagnostic ratio analysis and principal component analysis (PCA). The ILCR model was employed to estimate inhalation-related cancer risks for different population groups. Results From 2016 to 2024, the annual median PM_2.5 concentrations in Guangzhou were 51.0, 46.0, 45.0, 41.5, 31.0, 32.0, 30.0, 26.0, and 37.5 μg·m⁻³, respectively, showing an overall declining trend. PM_2.5 concentrations varied significantly by season, following the order of winter > spring/autumn > summer (H=475.341, P < 0.001). Spatially, PM_2.5 concentrations were highest in Yuexiu, followed by Panyu and Conghua (H=36.226, P < 0.001). The annual median PAH concentrations were 3.95, 4.22, 3.73, 3.13, 2.54, 2.16, 2.78, 2.36, and 1.75 ng·m⁻³, respectively. PAH concentrations showed a similar seasonal pattern (winter > spring/autumn > summer; H=320.392, P < 0.001). However, their spatial distribution differed from that of PM_2.5: Conghua > Panyu > Yuexiu (H=55.938, P < 0.001). Diagnostic ratios and PCA indicated that the major sources of PAHs were traffic-related emissions (gasoline and diesel combustion) and coal combustion, with additional contributions from petroleum volatilization and biomass burning. Benzo[a]pyrene (BaP) toxic equivalent concentrations declined over time and remained below the Chinese standard limit of 1 ng·m⁻³ after 2018. The median inhalation-related ILCRs were 0.094×10⁻⁶ for children, 0.035×10⁻⁶ for adolescents, and 0.293×10⁻⁶ for adults. Conclusion From 2016 to 2024, PM_2.5 and PM_2.5-bound PAH pollution levels in Guangzhou generally declined. Suburban areas had the lowest PM_2.5 concentrations but the highest PAHs concentrations. Both PM_2.5 and PM_2.5-bound PAHs exhibited significant seasonal variations, with the highest levels in winter and the lowest levels in summer. The primary sources of PAHs were vehicular emissions and coal combustion, and PAHs posed no significant carcinogenic risk to the study population.

Background and Aims:Papillary thyroid carcinoma(PTC)is the most common endocrine malignancy in China,with cervical lymph node metastasis being a frequent and critical clinical feature that directly affects patient prognosis and recurrence risk.In recent years,with the rapid increase in the prevalence of overweight and obesity in China,the role of body mass index(BMI)in various tumors has attracted growing attention.This study aimed to investigate the association between overweight and cervical LNM in PTC,analyze sex-specific differences and influencing factors,and provide evidence for precise clinical management.Methods:A retrospective analysis was conducted on the clinicopathologic data of 1 445 patients with classical PTC treated at Xiangya Hospital of Central South University between August 2021 and June 2022.Patients were divided into groups based on the presence or absence of lymph node metastasis.Restricted cubic spline analysis explored the nonlinear relationship between BMI and lymph node metastasis risk.Univariate and multivariate Logistic regression analyses were applied to identify independent risk factors.Furthermore,sex-stratified analysis was performed among overweight patients(BMI≥24 kg/m2)to determine sex-specific risk factors for lymph node metastasis.Results:Among all patients,716(49.6%)had lymph node metastasis.Univariate analysis showed that BMI,sex,age,tumor diameter,multifocality,and extrathyroidal extension were significantly associated with cervical lymph node metastasis in PTC patients(all P<0.05).A nonlinear positive correlation was observed between BMI and lymph node metastasis risk,which was more pronounced in male patients.Additionally,BMI was positively correlated with triglyceride levels and negatively correlated with high-density lipoprotein cholesterol.Sex-stratified analysis revealed that in overweight male patients,younger age(OR=0.954),larger tumor diameter(OR=1.085),and multifocality(OR=2.776)were independent risk factors for LNM;in overweight female patients,younger age(OR=0.943)and larger tumor diameter(OR=1.074)were the main influencing factors.Conclusion:Overweight is closely associated with cervical lymph node metastasis in PTC,and the high-risk factors for LNM differ between male and female overweight patients.Young age,larger tumor size,and multifocality in overweight males,and young age and larger tumors in overweight females indicate a higher risk of metastasis.It is recommended that high-risk populations receive enhanced preoperative evaluation and individualized lymph node dissection strategies to achieve precise treatment and improved risk control.

A mounting body of research suggests that circRNAs significantly contribute to the develop-ment of myocardial fibrosis.The microarray results of human circular RNA expression profile indicated that circHERC4_041 expression increased in the myocardium of patients with heart failure,RT-qPCR a-nalysis confirmed that the myocardial expression level of circHERC4_041 in individuals with heart failure were considerably elevated compared to that in healthy organ donors.Fluorescence in situ hybridization(FISH)confirmed that circHERC4_041 was abundant in the cytoplasm of human cardiomyocyte AC16.Overexpression of circHERC4_041 in mouse myocardial fibroblasts(mCFs)mediated by adenovirus in-hibited the expression of fibrosis-related proteins in mCFs.Experiments involving cell proliferation,wound healing,and Transwell assays demonstrated that overexpression of circHERC4_041 suppressed the growth and mobility of mCFs(P＜0.001).Sequence analysis results suggested that circHERC4_041 con-tains potential ribosome entry sequence(IRES)and open reading frame(ORF).Western blot confirmed that circHERC4_041 could translate the 516 amino acid HERC4-516aa protein,which was mainly located in the cytoplasm of the cell.Cell functional experiments confirmed that circHERC4_041 inhibited the fi-brotic phenotype of mCFs by specifically translating HERC4-516aa(P＜0.05).The specific interaction between HERC4-516aa and transglutaminase 2(TGM2)was confirmed by IP-MS screening and Co-IP i-dentification.Further results found that the degradation of TGM2 was promoted through proteasome path-way.The overexpression of TGM2 in mCFs facilitated by adenoviral vectors could counteract the suppres-sive effects of HERC4-516aa on the fibrotic phenotype of mCFs.Therefore,this study confirmed that the HERC4-516aa protein translated by circHERC4_041 can specifically bind to TGM2 to inhibit the fibrotic phenotype of myocardial fibroblasts.

Objective To explore the factors that influence major adverse cardiovascular events(MACE)in atrial fibrillation(AF)patients undergoing radiofrequency ablation(RFA),as well as to compare the prognosis of patients with advanced AF to that of the general population.Methods We prospectively recruited AF patients who underwent RFA treatment at Peking University Third Hospital between January 2021 and March 2023.General patient data were collected through the hospital's inpatient system,and MACE were tracked through outpatient visits and telephone follow-ups.Patients were categorized into three age groups:Group 1(under 65 years),Group 2(65 to 75 years),and Group 3(over 75 years).In this study,MACE was defined as include cardiovascular death,all-cause death,readmission for heart failure,acute coronary syndrome(ACS),grade 2 or higher bleeding and stroke.Results A total of 431 patients were included in this study,with an average age of(66.17±12.22)years.Among these patients,259 were male(60.09％),and the mean of CHA2DS2-VASc score was(1.79±1.30).The median follow-up period was 16.0(11.3,21.3)months,during which 28(6.50％)patients experienced MACE,with ACS and stroke being the most common events.Variables were selected using LASSO regression,and a LASSO-Cox regression model was constructed.Age(HR 1.06,95％CI 1.02-1.10,P=0.006)and hypertrophic cardiomyopathy(HR 3.70,95％CI 1.27-8.68,P=0.008)were identified as independent predictors of MACE after RFA for AF.Subgroup analysis revealed that patients under 65 had significantly better prognoses compared to older AF patients(P=0.030 compared with group 2;P=0.021 compared with group 3).Conclusions Age and hypertrophic cardiomyopathy are independent risk factors for MACE in AF patients undergoing RFA.The prognosis for younger patients is better than that for older patients,while the prognosis for advanced patients is comparable to that of patients aged 65-75 years.

Objective:To investigate the role of ubiquitin-specific protease 21 (USP21) in enterovirus group A type 71 (EV-A71) infection.Methods:Peripheral blood mononuclear cells (PBMC) were obtained from a cohort of 24 children infected with EV-A71 and 24 healthy children. Expression of USP21 was determined by real-time fluorescence quantitative PCR (qPCR). Additionally, the impact of USP21 overexpression or knockout on EV-A71 replication was evaluated using a combination of qPCR and western blot (WB) analysis. Furthermore, WB was employed to measure the levels of EV-A71 structural protein VP1, phosphorylated interferon regulatory factor 3 (IRF3) and other key molecules in the RIG-I-like receptor (RLR) signaling pathway. Co-immunoprecipitation (Co-IP) was utilized to investigate the effects of USP21 on the ubiquitin levels of EV-A71 nonstructural protein 2A protease (2A pro). Results:In comparison to healthy children, the expression of USP21 mRNA in PBMC of children infected with EV-A71 was notably elevated. The overexpression of USP21 significantly enhanced the cytopathic effects induced by EV-A71, upregulated levels of VP1 mRNA and protein, and facilitated EV-A71 replication, leading to a decrease in cell activity with increasing levels of USP21 transfection. Following the knockout of the USP21 gene, the VP1 mRNA levels were significantly declined in comparison to the control group. Furthermore, the overexpression of USP21 was found to have no impact on the transcriptional activity of EV-A71 2A pro. However, it was observed to enhance the expression of 2A pro protein, reduce the ubiquitination of 2A pro, suppress the protein levels of mitochondrial antiviral signaling protein (MAVS) and melanoma differentiation-associated gene 5 (MDA5), as well as decrease the phosphorylation of IRF3. Additionally, the induction of IFN-β mRNA by EV-A71 infection was downregulated. Conclusions:USP21 has been shown to enhance the replication of EV-A71 through the downregulation of 2A pro ubiquitination, suppression of MAVS and MDA5 protein expression, and inhibition of the interferon signaling pathway.

Taxifolin (TAX) is a natural compound known for its liver protection effect, but the mechanism remains unknown. Phosphorylated proteomics analyses discovered that the phosphorylation level of NDRG1 at T328 was a key event of TAX-improved liver fibrosis. We established models with NDRG1 knockout (KO) in vivo and in vitro, demonstrating that NDRG1 KO attenuated the development of hepatocyte injury, and combining NDRG1 KO and TAX administration did not result in a reduction in protection against liver injury. Cellular thermal shift assay and surface plasma resonance analysis showed that TAX directly binds to NDRG1 rather than its upstream kinase, subsequently demonstrating that TAX regulated phosphorylation of NDRG1 at T328 through binding to its C289 site. NDRG1 T328A (phosphorylated mutation) and T328E (mimic phosphorylation) in vivo and in vitro confirmed that pNDRG1_T328 exacerbates hepatocyte injury along with DNA damage, inflammatory response, and apoptosis, thereby contributing to hepatic stellate cells (HSCs) activation. In contrast, TAX can inhibit the above pathological abnormalities and block hepatocyte injury-triggered HSCs activation and fibrosis. Overall, TAX is a potent liver protection drug primarily targeting NDRG1 and inhibiting pNDRG1_T328 in hepatocytes.

The continuous emergence of SARS-CoV-2 variants as well as other potential future coronavirus has challenged the effectiveness of current COVID-19 vaccines. Therefore, there remains a need for alternative antivirals that target processes less susceptible to mutations, such as the formation of six-helix bundle (6-HB) during the viral fusion step of host cell entry. In this study, a novel high-throughput screening (HTS) assay employing a yeast-two-hybrid (Y2H) system was established to identify inhibitors of HR1/HR2 interaction. The compound IMB-9C, which achieved single-digit micromolar inhibition of SARS-CoV-2 and its Omicron variants with low cytotoxicity, was selected. IMB-9C effectively blocks the HR1/HR2 interaction in vitro and inhibits SARS-CoV-2-S-mediated cell-cell fusion. It binds to both HR1 and HR2 through non-covalent interaction and influences the secondary structure of HR1/HR2 complex. In addition, virtual docking and site-mutagenesis results suggest that amino acid residues A930, I931, K933, T941, and L945 are critical for IMB-9C binding to HR1. Collectively, in this study, we have developed a novel screening method for HR1/HR2 interaction inhibitors and identified IMB-9C as a potential antiviral small molecule against COVID-19 and its variants.