ObjectiveTo evaluate the antitumor activity of Periplaneta americana extract（PAE） against human-derived lung adenocarcinoma organoids（LUAD-PDOs） and to elucidate its potential mechanism based on transcriptomics. MethodsFresh tumor and adjacent normal tissues from patients with LUAD were collected to construct LUAD-PDOs and normal lung organoid（Nor-PDOs） models using 3D organoid culture technology. The effective intervention concentration of PAE was determined using the cell counting kit-8（CCK-8） assay. Experimental groups included the model group（LUAD-PDOs）， normal group， model administration group（LUAD-PDOs+PAE）， and normal administration group（Nor-PDOs+PAE）. Hematoxylin-eosin（HE） staining was used to observe the pathological structures of PDOs， immunohistochemistry（IHC） was performed to detect the expressions of the proliferation marker Ki-67 and lung adenocarcinoma differentiation markers cytokeratin-7（CK-7） and Napsin A， TUNEL staining was applied to detect cell apoptosis. RNA sequencing（RNA-Seq） was conducted to identify differentially expressed genes（DEGs）， followed by Gene Ontology（GO）， Kyoto Encyclopedia of Genes and Genomes（KEGG）， and Gene Set Enrichment Analysis（GSEA）， alongside protein-protein interaction（PPI） network analysis to screen core mechanisms. Finally， key targets were validated by integrating external database analysis with immunofluorescence（IF）. ResultsNor-PDOs and LUAD-PDOs that highly recapitulated the pathological characteristics of the primary tissues were successfully established. The CCK-8 assay determined that the effective intervention concentration of PAE was 16 g·L^-1. Morphological observation showed that Nor-PDOs exhibited lumen-forming structures， whereas LUAD-PDOs displayed dense， solid structures. CCK-8 and TUNEL assays revealed that， compared with the model group， PAE intervention inhibited the proliferation of LUAD-PDOs and promoted apoptosis in LUAD cells， while showing no significant effect on the viability of Nor-PDOs. Transcriptomic analysis identified 719 DEGs that were significantly reversed after PAE intervention（347 up-regulated and 372 down-regulated）（P<0.05）. GO enrichment analysis indicated that DEGs in the model administration group were significantly enriched in biological processes related to cell cycle regulation compared to the model group. KEGG pathway analysis revealed that PAE affected pathways related to proliferation and metabolism， including pathways in cancer and the p53 signaling pathway. GSEA further confirmed that PAE significantly enhanced the activity of the p53 signaling pathway（P<0.05）. PPI network analysis indicated that breast cancer type 1 susceptibility protein（BRCA1） and checkpoint kinase 1（CHEK1） were the core down-regulated targets in the p53 pathway. IF verified the high expression of BRCA1 and CHEK1 in LUAD-PDOs and their significant downregulation after PAE intervention（P<0.05）. Furthermore， survival analysis based on The Cancer Genome Atlas（TCGA） database indicated that low expression of BRCA1 and CHEK1 was significantly associated with prolonged overall survival in patients with LUAD（P<0.05）. ConclusionPAE effectively inhibits proliferation of LUAD-PDOs and promotes their apoptosis， its anti-tumor mechanism is potentially associated with the activation of the p53 signaling pathway， with BRCA1 and CHEK1 genes likely serving as key downstream targets for the effects of PAE.

Objective:To explore protective effect and possible mechanism of electroacupuncture at Zusanli combined with Yupingfengsan Jiawei on rats with acute lung injury.Methods:A total of 50 Wistar rats were randomly divided into control group,model group,Yupingfengsan Jiawei group(YPFSJW),electroacupuncture group(EA),acupuncture-medicine combination group(EA+YPFSJW),and acute lung injury model rats were constructed by intraperitoneal injection of lipopolysaccharide except control group.Lung tissue injury,oxidative damage and inflammatory factors were detected by wet/dry weight ratio,HE staining,TUNEL staining,myeloperoxidase(MPO),malondialdehyde(MDA),superoxide dismutase(SOD)and ELISA.qRT-PCR,immunohistochemical staining and Western blot were used to detect mRNA and related protein expressions.Results:Compared with control group,structure of lung tissue in model group was significantly damaged,alveolar wall was thickened,accompanied by pathological damage such as congestion and inflammatory cell infiltration,wet/dry ratio of lung tissue,apoptosis rate,inflammatory factors,oxidative damage level and mRNA expressions were significantly increased,and protein expressions of TLR4,MyD88,p-p65 and p-IκBα were significantly increased(P<0.05);compared with model group,Yupingfengsan Jiawei group,electroacupuncture group and acupuncture-medicine combination group had less inflammatory cell infiltration and congestion in lung tissue,wet/dry weight ratio of lung tissue,cell apopto-sis rate,inflammatory factors,oxidative damage levels and mRNA expressions were decreased,and TLR4,MyD88,p-p65,p-IκBαprotein expressions were decreased(P<0.05);compared with Yupingfengsan Jiawei group and electroacupuncture group,lung tissue alveolar structure of combined acupuncture and medicine group was relatively complete and clear,wet/dry weight ratio of lung tissue,cell apoptosis rate,inflammatory factors,oxidative damage levels and mRNA expressions were decreased,TLR4,MyD88,p-p65,p-IκBα protein expressions were decreased(P<0.05).Conclusion:Electroacupuncture combined with Yupingfengsan Jiawei can reduce acute lung injury in rats,whose mechanism may be related to regulation of protein levels related to NF-κB signaling pathway.

Objective To explore the association between walking exercise guided by 6 minute walking test(6MWT)and the incidences of 3-year major adverse cardiovascular event(MACE)in elderly patients with acute coronary syndrome(ACS)after percutaneous coronary intervention(PCI).Methods A total of 628 elderly ACS patients who undergoing PCI and obtaining success-ful coronary revascularization in our department from November 2018 to April 2019 were enrolled,and divided into 6MWT group(n=147)and control group(n=481)based on participa-ting in walking exercise guided by 6MWT or not.All of them were followed up for 3 years.The incidences of MACE[including coronary target vascular restenosis,acute myocardial infarction,heart failure,ischemic or hemorrhagic stroke]and all-cause death were observed.Univariate and multivariate Cox proportional analyses and Kaplan-Meier survival curve analysis were employed for data statistical analyses.Results At the end of follow-up,the incidences of target vascular restenosis(6.9％vs 2.0％,P=0.028),heart failure(3.7％vs 0％,P=0.036),stroke(3.7％vs 0％,P=0.036),and total MACE incidence(15.0％vs 4.1％,P=0.000)were statistically higher in the control group than the 6MWT group.Kaplan-Meier survival curve analysis showed that the cumulative incidence of MACE was significantly lower in the 6MWT group than the control group(Plog rank=0.001).Multivariate Cox regression analysis showed that not participating in walking exercise guided by 6MWT was an independent risk factor for occurrence of 3-year MACE(HR=3.102,95％CI:1.327-7.250,P=0.009).Conclusion Walking exercise guided by 6MWT reduces the incidence of 3-year MACE and improves the long-term prognosis of elderly ACS patients after PCI.

Objective:To analyze the preferences of medical staff in TCM hospitals in Beijing regarding the achievements transformation of hospital traditional Chinese medicine preparations,and to provide a reference for formulating incentive policies.Methods:233 medical staff from five TCM hospitals in Beijing were taken as the research objects,and surveyed with a questionnaire designed based on the discrete choice experiment(DCE).Mixed logit models and latent class models were then used to analyze their transformation preferences.Results:The mixed Logit model revealed that seven key attributes significantly influenced medical staff's preferences for the achievements transformation of traditional Chinese medicine preparations(P<0.05).Latent class analysis identified three distinct preference groups among respondents:an organization-dependent group(27.0%),a pro-transformation group(61.4%),and a conservative group(11.6%).Conclusions:Medical Staff preferred transformation conditions that increased monthly income;utilized"human use+re-experimentation";involved the hospital's achievements transformation department as the entity;were funded by the hospital;offered a 70%profit share;enabled promotion three years earlier,and assigned patents to the hospital.The study recommends implementing diverse incentive measures and developing differentiated strategies tailored to the distinct Medical Staff categories to facilitate the transformation of hospital traditional Chinese medicine preparations into new drugs.

Objective To explore the association between walking exercise guided by 6 minute walking test(6MWT)and the incidences of 3-year major adverse cardiovascular event(MACE)in elderly patients with acute coronary syndrome(ACS)after percutaneous coronary intervention(PCI).Methods A total of 628 elderly ACS patients who undergoing PCI and obtaining success-ful coronary revascularization in our department from November 2018 to April 2019 were enrolled,and divided into 6MWT group(n=147)and control group(n=481)based on participa-ting in walking exercise guided by 6MWT or not.All of them were followed up for 3 years.The incidences of MACE[including coronary target vascular restenosis,acute myocardial infarction,heart failure,ischemic or hemorrhagic stroke]and all-cause death were observed.Univariate and multivariate Cox proportional analyses and Kaplan-Meier survival curve analysis were employed for data statistical analyses.Results At the end of follow-up,the incidences of target vascular restenosis(6.9％vs 2.0％,P=0.028),heart failure(3.7％vs 0％,P=0.036),stroke(3.7％vs 0％,P=0.036),and total MACE incidence(15.0％vs 4.1％,P=0.000)were statistically higher in the control group than the 6MWT group.Kaplan-Meier survival curve analysis showed that the cumulative incidence of MACE was significantly lower in the 6MWT group than the control group(Plog rank=0.001).Multivariate Cox regression analysis showed that not participating in walking exercise guided by 6MWT was an independent risk factor for occurrence of 3-year MACE(HR=3.102,95％CI:1.327-7.250,P=0.009).Conclusion Walking exercise guided by 6MWT reduces the incidence of 3-year MACE and improves the long-term prognosis of elderly ACS patients after PCI.

Objective:Based on the background of high-quality development,we analyze the operational efficiency of traditional Chinese medicine(TCM)hospitals in China's Yangtze River Economic Belt in 2021 and explore the impact of external environmental factors on operational efficiency,so as to provide a reference for promoting the high-quality development of TCM hospitals in the Yangtze River Economic Belt.Methods:The three-stage DEA model was used to analyze the operational efficiency of TCM hospitals in 11 provinces and cities in the Yangtze River Economic Zone in China in 2021.Results:After three-stage DEA analysis,the values of comprehensive efficiency,pure technical efficiency and scale efficiency of TCM hospitals in China's Yangtze River Economic Belt are 0.976,0.986 and 0.990,respectively.5 provinces and cities,Shanghai,Jiangsu,Hunan,Chongqing and Guizhou,are efficient before and after the adjustment,and the comprehensive efficiency of Zhejiang,Anhui,Hubei,Jiangxi,Sichuan and Yunnan have increased compared with that before the adjustment.Ranking of the average value of the comprehensive efficiency of TCM hospitals operation in the three major city clusters of the Yangtze River Economic Belt after adjustment:Chengdu-Chongqing city cluster(0.998)>city cluster in the Yangtze River Delta(0.964)>city cluster in the middle reaches of the Yangtze River(0.962).Conclusion:The operational efficiency of TCM hospitals in the Yangtze River Economic Zone has been underestimated,and the comprehensive efficiency is mainly affected by scale efficiency;there are differences in the operational efficiency of TCM hospitals in the three major urban agglomerations,and balanced development is needed between regions;the operational efficiency of TCM hospitals is affected by the external environment,and it is necessary to improve the external environment;it is necessary to strengthen the construction of digital and informatization of TCM,and to pay attention to the role of talents in TCM,so as to promote the high-quality development of TCM hospitals.

Objective:To analyze the preferences of medical staff in TCM hospitals in Beijing regarding the achievements transformation of hospital traditional Chinese medicine preparations,and to provide a reference for formulating incentive policies.Methods:233 medical staff from five TCM hospitals in Beijing were taken as the research objects,and surveyed with a questionnaire designed based on the discrete choice experiment(DCE).Mixed logit models and latent class models were then used to analyze their transformation preferences.Results:The mixed Logit model revealed that seven key attributes significantly influenced medical staff's preferences for the achievements transformation of traditional Chinese medicine preparations(P<0.05).Latent class analysis identified three distinct preference groups among respondents:an organization-dependent group(27.0%),a pro-transformation group(61.4%),and a conservative group(11.6%).Conclusions:Medical Staff preferred transformation conditions that increased monthly income;utilized"human use+re-experimentation";involved the hospital's achievements transformation department as the entity;were funded by the hospital;offered a 70%profit share;enabled promotion three years earlier,and assigned patents to the hospital.The study recommends implementing diverse incentive measures and developing differentiated strategies tailored to the distinct Medical Staff categories to facilitate the transformation of hospital traditional Chinese medicine preparations into new drugs.

Objective::There is limited evidence regarding the choice of P2Y 12 receptor inhibitors as a component of dual antiplatelet therapy in patients with left main (LM) disease undergoing percutaneous coronary intervention (PCI). This study aimed to evaluate long-term clinical outcomes of ticagrelor- vs. clopidogrel-based dual antiplatelet therapy strategy in acute coronary syndrome (ACS) patients undergoing LM PCI. Methods::This is a post-hoc analysis from a prospective, single-center, real-world PCI registry. A total of 1,163 patients discharged post-ACS who underwent LM PCI and received ticagrelor or clopidogrel between March 2016 and March 2019 were included in the study. The primary endpoint was ischemic events at 12 months, including cardiac death, myocardial infarction, or stroke. Secondary outcomes included all-cause death and Bleeding Academic Research Consortium types 2, 3, and 5, and types 3 and 5 bleeding. Propensity score matching was used to adjust for bias due to confounders between the 2 groups.Results::The ticagrelor and clopidogrel groups comprised 529 (45.49%) and 634 (54.51%) patients, respectively. During the follow-up period, the rate of ischemic events was significantly lower with ticagrelor than with clopidogrel before (1.32% (7/529) vs. 3.63% (23/634), P = 0.013,6) and after propensity score matching (1.41% (6/425) vs. 4.00% (17/425), P = 0.020,1). The rates of all-cause death, Bleeding Academic Research Consortium-defined type 2, 3, and 5 bleeding, and type 3 and 5 bleeding were similar between the ticagrelor group and clopidogrel group before or after propensity score matching adjustment (all P > 0.05). Conclusion::Among patients with ACS undergoing LM PCI, ticagrelor use was associated with ischemic events benefit without excessive risk of bleeding at 12 months compared with clopidogrel.

Objective To make a retrospective analysis of the prevalence and trend of hyperuricemia(HUA)in the health examination population at The First Affiliated Hospital of Xi'an Jiaotong University from 2014 to 2023 so as to offer insights into the development of preventive strategies.Methods A total of 319 924 individuals who underwent health check-up at the Department of Health Medicine,The First Affiliated Hospital of Xi'an Jiaotong University,from 2014 to 2023 were included in the study.All of them met the research criteria.We collected and analyzed the demographic information and laboratory test results of the participants.Using Logistic regression to investigate the influence of demographic factors and metabolic disorders on HUA in the year 2023.The Cochran-Armitage trend test was used to analyze the changing trend of HUA prevalence over a 10-year period,which was further stratified by gender;multivariable Logistic regression was used to calculate the annual prevalence of HUA after adjusting for confounding factors.Results The overall prevalence of HUA in 2023 was 21.7％(men:30.8％,women:11.0％).Compared with the women,the men had a higher risk of HUA(AOR=3.004,95％CI:2.835-3.184,P＜0.001).Hypertension,dyslipidemia,and obesity were the risk factors for the occurrence of HUA.The effects of age and diabetes on HUA showed gender differences:Increased age was a protective factor for HUA in men,while it was a risk factor in women.Diabetes was only a protective factor in men,and its effect in women was not statistically significant.Trend analysis showed that from 2014 to 2023,the prevalence of HUA presented a gradual upward trend in both genders,with the most significant increase in the 20-39 age group.After adjusting for confounding factors,the prevalence of HUA increased from 22.7％ in 2014 to 31.7％ in 2023 among men,and from 7.0％ in 2014 to 11.5％ in 2023 among women.Conclusion From 2014 to 2023,HUA prevalence demonstrated a gradual increase among people over 20 years old,with the most significant growth seen in the 20-39 age group for both genders.In particular,men aged 20-39 years old were at a high risk for HUA.There is an urgent need to formulate strategies for the prevention and control of HUA.

Objective To investigate the diagnostic accuracy and clinical applicability of the Linknet-VGG16 deep learning algorithm for measuring the effective optical zone(EOZ)after corneal refractive surgery.Methods This single-center retrospective cohort study included 69 patients(69 eyes)who underwent femtosecond laser-assisted in situ kerato-mileusis(FS-LASIK)(34 eyes)or small incision lenticule extraction(SMILE)(35 eyes)at the Refractive Surgery Center of Affiliated Zhengzhou Aier Eye Hospital of Henan University from June 2023 to June 2024.Data from the right eyes of all patients were selected for statistical analysis.During the surgery,patients in the FS-LASIK group adopted the VisuMax fem-tosecond laser system combined with the Amaris 750S excimer laser system,while those in the SMILE group only used the VisuMax femtosecond laser system.A total of 276 Pentacam images were re-examined postoperatively.A Linknet segmenta-tion model based on the VGG16 encoder was constructed,and image normalization techniques were applied to accelerate model convergence.Model performance was assessed using accuracy,intersection over union(IoU),and the Dice coeffi-cient.The traditional EOZ measurement method based on corneal tangential curvature served as the reference standard.Bland-Altman analysis was conducted to evaluate consistency across all images and within each group,and the time effi-ciency of both methods was compared.Results Six representative medical image segmentation architectures(U-Net,U-Net++,DeepLabv3-ResNet50,DeepLabv3+-ResNet50,Unet-Densenet169,and Linknet-VGG16)were systematically evaluated.The Linknet-VGG16 model demonstrated superior performance over the other 5 models in pixel-level accuracy,IoU and Dice coefficient,which were 99.83％,99.48％and 99.74％,respectively.Although there was no significant differ-ence in accuracy and Dice coefficient between Linknet-VGG16 and U-Net models(whose accuracy was 99.82％and Dice coefficient was 99.72％),the inference speed of the U-Net model(62.46 ms)was 31.76％slower than that of the Linknet-VGG16 model(42.62 ms).The evaluation results of a clinically applicable comprehensive scoring model(weights:accura-cy 20％,IoU 20％,Dice coefficient 20％,speed 25％,model size 15％)showed that the Linknet-VGG16 model achieved a score of 88.01,surpassing other architectures(U-Net:86.29;DeepLabv3+-ResNet50:80.41;DeepLabv3-ResNet50:73.82;U-Net++:73.22;Unet-Densenet169:66.66).Bland-Altman analysis revealed that the mean difference of the 136 images in the FS-LASIK group was 0.01 mm[95％limits of agreement(LoA):-0.36 to 0.35 mm],with 96.3％of data points falling within the LoA.The mean difference of the 140 images in the SMILE group was-0.01 mm(95％LoA:-0.36 to 0.33 mum),with 95.7％of data points falling within the LoA.The mean difference of all 276 images was 0.00 mm(95％LoA:-0.36 to 0.34 mm),with 96.4％of data points falling within the LoA.These results indicated excellent consistency.The average measurement time per image using the traditional EOZ measurement method was 13.00 minutes,whereas the deep learning model required only 3.22 seconds.Conclusion The traditional EOZ measurement method based on corne-al tangential curvature exhibits good consistency with the fully automatic EOZ measurement method based on deep learning algorithms,achieving high image recognition accuracy.Additionally,the deep learning algorithm significantly reduces measurement time,compared with the traditional method based on corneal tangential curvature.