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.

[摘 要] 目的：旨在构建Trop2-ECD与幽门螺杆菌铁蛋白（HPF）融合纳米颗粒疫苗，并评价其免疫原性与抗三阴性乳腺癌（TNBC）活性。方法：构建Trop2-ECD_HPF纳米颗粒疫苗，并在293F细胞中表达和纯化。通过尺寸排阻色谱和透射电子显微镜验证疫苗的纯度和均一性。使用铝佐剂配制疫苗对雌性BALB/c小鼠进行免疫，通过酶联免疫吸附法（ELISA）检测血清中Trop2特异性抗体滴度，并评估其对4T1-Trop2肿瘤模型的抑制效果。结果：Trop2-ECD_HPF纳米颗粒粒径约20 nm，颗粒形成率较高，纯度较高，能够显著诱导小鼠产生高滴度的Trop2特异性抗体，疫苗组第6周抗体滴度达106，显著高于佐剂组（P < 0.000 1）。在动物实验中，疫苗组小鼠的肿瘤体积显著减小（抑瘤率为38.6%），肿瘤增长速度显著减缓（P < 0.001），显示出较强的抗肿瘤效果。结论：Trop2-ECD_HPF融合纳米颗粒疫苗可有效诱导特异性体液免疫应答，显著抑制TNBC生长，为靶向Trop2的纳米疫苗开发提供了实验依据。

Colchicine, a classic anti-inflammatory agent, has been long used for the prevention and treatment of gouty arthritis and familial Mediterranean fever. Given the pivotal role of inflammation in the development and progression of cardiovascular diseases, the clinical value of colchicine in the secondary prevention of cardiovascular diseases has attracted significant attention. Diabetes mellitus （DM） leads to severe and irreversible vascular complications, and cardiovascular diseases are the leading cause of death in patients with DM. However, existing research indicated heterogeneity in the therapeutic efficacy of colchicine among patients with cardiovascular diseases and those with diabetes complicated by cardiovascular conditions. The heterogeneity manifests as differences in efficacy across various disease stages, patient baseline characteristics, specific cardiovascular event types, endpoint definitions, and treatment regimens. The current domestic and international research findings on colchicine in relation to cardiovascular events—both in patients with CVD and in those with diabetes—were reviewed, with the aim of elucidating the underlying causes of this efficacy heterogeneity and providing evidence-based guidance for identifying patients likely to benefit and optimizing individualized treatment strategies in clinical practice.

Objective:To understand the awareness of influenza and influenza vaccine, influenza incidence, influenza vaccination status and intention and related factors in primary and secondary school teachers.Methods:Cross-sectional study design and stratified random sampling method were used to select 5 teachers from each of 51 primary schools and 40 middle schools in a district of Beijing from April 17 to 21, 2024. A questionnaire survey was conducted in the selected teachers with an estimated sample size of 1 040. The survey collected the information about their demographic characteristics, awareness of influenza and influenza vaccine, influenza incidence, influenza vaccination status and intention. Multivariate logistic regression model was used to analyze the factors related to influenza vaccination status and intention.Results:In the 975 primary and secondary school teachers, the awareness of susceptibility and severity of influenza and the benefits of influenza vaccination were high. In terms of safety of influenza vaccine, 48.00% (468/975) of the teachers believed that adverse reaction would occur after the vaccination. Influenza like illness occurred in 41.13% (401/975) of the teachers during 2023-2024, and in these teachers, 40.15% (161/401) asked for leave from work due to illness, 40.90% (164/401) sought medical care and 32.93% (54/164) were influenza virus positive. In the 975 teachers, 13.95% (136/975) were vaccinated against influenza during 2023-2024 and 34.46% (336/975) were willing to be vaccinated against influenza during 2024-2025. Multivariate logistic regression analysis showed that being teacher in charge of a class (a OR=1.58, 95% CI: 1.06-2.35), believing that influenza vaccination could effectively prevent influenza (a OR=1.99, 95% CI: 1.05-3.80), believing that teachers' vaccination could improve students' willingness to be vaccinated (a OR=1.98, 95% CI: 1.12-3.50) were the positive factors for teachers' vaccination, and worrying about adverse reactions after the vaccination (a OR=0.52, 95% CI: 0.34-0.80) was the negative factor. Doctors' recommendation (a OR=2.62, 95% CI: 1.41-4.86) and free influenza vaccination (a OR=10.26, 95% CI: 5.17-20.39) were positively correlated with teachers' intention to influenza vaccination. Conclusions:Primary and secondary school teachers in a district of Beijing had high awareness of influenza and influenza vaccine, but their awareness of influenza vaccine safety should be improved. The incidence of influenza-related infection was high in the primary and secondary school teachers. The influenza vaccination rate was low and the willingness to receive influenza vaccination in following year was not strong. For the better prevention and control of influenza in schools, it is necessary to strengthen the health education in primary and secondary school teachers to improve their awareness of influenza vaccine safety and vaccination rate.

Objective To explore the mechanism of Bufei Jiedu Granules in the treatment of methicillin-resistant Staphylococcus aureus(MRSA)chronic infection using network pharmacology;To verify it through animal experiments.Methods Active components and potential targets in Bufei Jiedu Granules were screened through the TCMSP database,and genes related to MRSA infection were retrieved through GeneCards,OMIM,DisGeNET,TTD,DrugBank and PharmGKB databases.The STRING database was employed to construct a protein-protein interaction network on common targets,and GO and KEGG pathway enrichment analysis were conducted to identify key signaling pathways for Bufei Jiedu Granules treatment of MRSA infection.The effects of Bufei Jiedu Granules on bacterial load and pathological changes in the lung,liver and kidney of MRSA chronic infection mice models were evaluated through WT and T/B immune cell deficient Rag2-/-mouse animal experiments.The mRNA expressions of inflammatory factors(IFN-γ,IL-10)and immune checkpoints(PD1,TIM3)were detected.Results Totally 54 active components related to Bufei Jiedu Granules were selected,and 50 potential targets related to MRSA infection were identified.118 signaling pathways significantly associated with MRSA infection were identified through GO and KEGG pathway enrichment analysis,in which the JAK-STAT signaling pathway,Th17 cell differentiation,and PD-L1 expression and PD-1 checkpoint pathway were closely related to cell activation and T cell differentiation.Animal experimental results indicated that Bufei Jiedu Granules could effectively reduce the bacterial load in organs and ameliorate the pathological damage in the chronic MRSA infection mouse model,increase the mRNA expression of IFN-γ in the lung tissue,and decrease the mRNA expressions of IL-10,PD1 and TIM3.Conclusion Bufei Jiedu Granules has the characteristics of multi-component and multi-target in the treatment of MRSA infection,and may be involved in adaptive immune activation to effectively treat chronic MRSA infection.

Under the background of the Healthy China Strategy, public hospitals urgently need to break through the limitations of the traditional medical mode, build a precise and continuous medical service system to meet the growing personalized health needs of the people. In 2022, a tertiary public hospital launched a multidisciplinary whole course management service practice. By integrating multidisciplinary medical and health resources, clarifying service targets and contents, forming a whole course management service team, constructing a supporting information platform, linking full process services, creating standardized service processes, and providing patients with comprehensive, full process, professional, and accurate full cycle intervention management and care. The hospital covered diseases in stages, ensuring continuous medical for patients after leaving the hospital, improving their medical experience, and supporting the high-quality development of the hospital. As of June 2024, the hospital′s multidisciplinary whole course management services had covered 25 departments and 41 disease, and 43 management teams have been established. A total of 7 453 patients signed up for the whole course service. This practice achieved good results, could provide references for the implementation of whole course management services led by public hospitals.

Objective To construct an in vitro co-culture model of gastric cancer organoids and cancer-associated fibroblasts(CAFs),and investigate the role of cancer-associated fibroblasts in the proliferation and chemotherapy resistance of gastric cancer organoids.Methods Tumor tissues from 12 gastric cancer patients undergoing surgical treatment in Department of General Surgery of Second Affiliated Hospital of Army Medical University from February 2023 to March 2024 were collected to construct gastric cancer organoids using 3D culture.HE staining was used to observe the morphology,and immunohistochemical assay was employed to determine the expression of cytokeratin CK7,carcinoembryonic antigen(CEA),and proliferation marker Ki-67.After CAFs derived from the same patient were cultured,observed for their morphology under a light microscope,and detected for the phenotype by flow cytometry,the cells were co-cultured with gastric cancer organoids in a 1:1 ratio.Phase-contrast microscopy was applied to observe the growth of the organoids and analyze the number,average diameter,and total area.Then,organoids cultured alone served as the control group.After the control and co-culture groups were treated with chemotherapy drugs,5-fluorouracil and oxaliplatin,for 48 h,the viability and apoptosis of organoids were assessed with CellTiter-Glo??3D assay and CellEvent? Caspase 3/7 activity,respectively.Results Gastric cancer organoids and CAFs were successfully established from 10 gastric cancer patient-derived samples.The gastric cancer organoids exhibited morphological characteristics consistent with the corresponding primary tumors,and showed positive expression of CK7,CEA,and Ki-67.CAFs displayed typical spindle-shaped morphology and exhibited the phenotypic markers CD326-,CD45-,CD31-,α-SMA+,CD73+,CD90+,and CD105+.Compared to the organoids cultured alone,the organoids co-cultured with CAFs showed more formation of organoids,in larger average diameter,and taking larger total area(P<0.05).After the treatment of 5-fluorouracil and oxaliplatin,the half-maximal inhibitory concentration(IC50)was 10.66 and 3.26 μmol/L,respectively in the control group,while was 46.23 and 91.11 μmol/L in the co-culture group.Additionally,the number of CellEvent? Caspase 3/7 positive apoptotic cells was significantly less in the co-culture group than the control group.Conclusion Compared with individually cultured gastric cancer organoids,the co-culture model of gastric cancer organoids and CAFs better simulates the pro-tumor proliferation and drug resistance effects of in vivo tumor microenvironment.

Objective To explore the pharmacokinetic characteristics of sufentanil in individuals with normal body mass index(BMI),overweight BMI,and different CYP3A4/5 enzyme genotypes.Methods The patients receiving laparoscopic surgery under general anesthesia in the First Affiliated Hospital of Army Medical University from November 2020 to September 2021 were prospectively recruited in this study.Before the operation,the oral swabs were collected from all the patients for genotyping using the human CYP3A4/5 gene kit.Based on the potential impact of combination of their polymorphisms on sufentanil metabolism and the proportion of different genotype combinations of CYP3A4/5 enzymes,the patients were divided into groups I(3A4 homozygous mutation or 3A4 heterozygous mutation+3A5 homozygous mutation),II(3A4 heterozygous mutation+3A5 heterozygous mutation),and III(3A4 wild type or 3A4 heterozygous mutation+3A5 wild type).According to their BMI,they were also assigned into a normal body weight group(18.5～24.0 kg/m2)and an overweight group(24～<28 kg/m2),and the differences in drug metabolism parameters were statistically analyze between the 2 groups.After routine general anesthesia induction(sufentanil 0.5 μg/kg),venous blood samples were collected to detect the changes in its concentration using high performance liquid chromatography-mass spectrometry(HPLC-MS).The pharmacokinetic data of sufentanil were calculated between the normal BMI group and overweight group in all participants and between the 2 body weight groups among those with different genotype combinations.Results Among the 90 participants completing the blood drug concentration test,8 patients had their blood samples contaminated(including 1 case with an anesthesia duration of<2 h),and 3 were excluded due to low weight or overweight.Eventually,79 participants were included in the pharmacokinetic analysis on the normal body weight group and the overweight group.Compared with the normal body weight group,the central compartment volume of distribution in the overweight group was significantly reduced(P<0.05),while no obvious differences were observed between the 2 groups in terms of peripheral compartment volume of distribution,total clearance rate,peripheral compartment clearance rate,distribution half-life,clearance half-life,and area under the blood concentration-time curve.In group Ⅰ(n=26),the overweight patients(n=13)had significantly reduced central compartment volume of distribution,peripheral compartment volume of distribution,and peripheral compartment clearance rate when compared with the normal body weight patients(n=13)(P<0.05),while no differences were observed in other pharmacokinetic parameters.In groups Ⅱ(n=25)and Ⅲ(n=28),the overweight patients and normal body weight patients had no statistical differences in all pharmacokinetic parameters.Conclusion Among the patients with the same genotype combination of CYP3A4/5 mutations,there was no difference in the metabolism of sufentanil between the overweight and normal weight patients.Additionally,in the population of 3A4 homozygous mutation or 3A4 heterozygous mutation+3A5 homozygous mutation,the overweight patients have smaller peripheral distribution range of sufentanil,and weakened metabolic process.

Objective To study the inhibitory effect of secondary metabolites of Pseudomonas aeruginosa(PA)on Candida albicans(CA)and to explore some of the mechanisms.Methods PA and CA strains were i-solated from clinical specimens from the hospital.Then,PA strains with inhibitory effects on CA were screened through cross-line test and co-incubation test,and crude extracts of PA secondary metabolites were prepared,and were tested together with pyocyanin,phenazine-1-carboxylic acid,1-hydroxyphenazine,and 3-ox-ododecyl-l-homoserine lactone(3-oxo-HSL).The inhibitory effects of various PA secondary metabolites on CA were determined through minimum inhibitory concentration test,minimum bactericidal concentration test,time-sterilization curve measurement,and XTT method activity measurement test,and some mechanisms by which PA secondary metabolites inhibited CA were explored.Results The strongest inhibitory effect on CA was 1-hydroxyphenazine,and at a concentration of 6.250 μg/mL,the relative activity of CA decreased to 0.00%.Next were pyocyanin and PA crude extract,and the relative fungal activity of CA decreased to 0.00%at concentrations of 200 and 100 μg/mL.1-hydroxyphenazine,pyocyanin,3-oxo-HSL and PA crude extract all had inhibitory effects on the formation of CA hyphae.Reactive oxygen species(ROS)were generated in CA cells treated with 1-hydroxyphenazine,phenazine 1-carboxylic acid,pyocyanin,and PA crude extract,and the highest levels of ROS were induced by pyocyanin and 1-hydroxyphenazine.Conclusion Phenazine secondary metabolites 1-hydroxyphenazine and pyocyanin have significant inhibitory effects on the growth and activity of CA,and both induce the highest amount of ROS.The quorum-sensing signal molecule 3-oxo-HSL have no in-hibitory effect on CA growth,but have a significant inhibitory effect on the formation of fungal hyphae.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.