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 construct a "disease-syndrome combination" mathematical representation model for pulmonary nodules based on oral microbiome data, utilizing a multimodal data algorithm framework centered on dynamic systems theory. Furthermore, to compare predictive models under various algorithmic frameworks and validate the efficacy of the optimal model in predicting the presence of pulmonary nodules. Methods A total of 213 subjects were prospectively enrolled from July 2022 to March 2023 at the Hospital of Chengdu University of Traditional Chinese Medicine, Sichuan Cancer Hospital, and the Chengdu Integrated Traditional Chinese and Western Medicine Hospital. This cohort included 173 patients with pulmonary nodules and 40 healthy subjects. A novel multimodal data algorithm framework centered on dynamic systems theory, termed VAEGANTF (Variational Auto Encoder-Generative Adversarial Network-Transformer), was proposed. Subsequently, based on a multi-dimensional integrated dataset of “clinical features-syndrome elements-microorganisms”, all subjects were divided into training (70%) and testing (30%) sets for model construction and efficacy testing, respectively. Using pulmonary nodules as dependent variables, and combining candidate markers such as clinical features, lesion location, disease nature, and microbial genera, the independent variables were screened based on variable importance ranking after identifying and addressing multicollinearity. Missing values were then imputed, and data were standardized. Eight machine learning algorithms were then employed to construct pulmonary nodule risk prediction models: random forest, least absolute shrinkage and selection operator (LASSO) regression, support vector machine, multilayer perceptron, eXtreme Gradient Boosting (XGBoost), VAE-ViT (Vision Transformer), GAN-ViT, and VAEGANTF. K-fold cross-validation was used for model parameter tuning and optimization. The efficacy of the eight predictive models was evaluated using confusion matrices and receiver operating characteristic (ROC) curves, and the optimal model was selected. Finally, goodness-of-fit testing and decision curve analysis (DCA) were performed to evaluate the optimal model. Results There were no statistically significant differences between the two groups in demographic characteristics such as age and sex. The 213 subjects were randomly divided into training and testing sets (7 : 3), and prediction models were constructed using the eight machine learning algorithms. After excluding potential problems such as multicollinearity, a total of 301 clinical feature information, syndrome elements, and microbial genera markers were included for model construction. The area under the curve (AUC) values of the random forest, LASSO regression, support vector machine, multilayer perceptron, and VAE-ViT models did not reach 0.85, indicating poor efficacy. The AUC values of the XGBoost, GAN-ViT, and VAEGANTF models all reached above 0.85, with the VAEGANTF model exhibiting the highest AUC value (AUC=0.923). Goodness-of-fit testing indicated good calibration ability of the VAEGANTF model, and decision curve analysis showed a high degree of clinical benefit. The nomogram results showed that age, sex, heart, lung, Qixu, blood stasis, dampness, Porphyromonas genus, Granulicatella genus, Neisseria genus, Haemophilus genus, and Actinobacillus genus could be used as predictors. Conclusion The “disease-syndrome combination” risk prediction model for pulmonary nodules based on the VAEGANTF algorithm framework, which incorporates multi-dimensional data features of “clinical features-syndrome elements-microorganisms”, demonstrates better performance compared to other machine learning algorithms and has certain reference value for early non-invasive diagnosis of pulmonary nodules.

Objective To analyze the status of persistent human papillomavirus (HPV) infection and the distribution of viral subtypes in the Zhengzhou region. Methods Clinical data of 55239 patients who underwent HPV-DNA genotyping tests from 2018 to 2024 were collected. On the basis of HPV follow-up results, patients were divided into three groups: 849 cases of infection with the same HPV type, 255 cases of persistent infection with different HPV types, and 857 cases of transient HPV infection. Results Among the 9232 initially-screened patients who were positive with HPV, the high-risk HPV (HR-HPV) positive rate was 84.6% (7813/9232), and predominant subtypes were HPV-16 (20.8%), HPV-52 (17.2%), and HPV-53 (9.6%). The low-risk HPV (LR-HPV) positive rate was 15.4% (1419/9232), mainly HPV-81 (28.1%) and HPV-42 (27.0%). Among the 1961 follow-up cases, the rates of persistent and non-persistent infections with the same HPV type were 35.7% (701/1961) and 7.5% (148/1961), respectively. The rates of persistent and non-persistent infections with different HPV types were 10.9% (214/1961) and 2.1% (41/1961), respectively. Meanwhile, 43.7% (857/1961) tested negative upon follow-up. Among the 701 cases of persistent infection with the same HPV type, HR-HPV accounted for 85.7% (601/701), and LR-HPV accounted for 14.3% (100/701). Among the 214 cases of persistent infection with different HPV types, 89.7% (192/214) were high-risk transitions, and 10.3% (22/214) were low-risk transitions. Regardless of HPV types, HR-HPV was more likely to cause persistent infection than LR-HPV. In addition, over 60% of HR-HPV persistent infections resolved within 18 months, 30% developed into persistent infections, and only 15% of patients had persistent infections that last more than 24 months. Conclusion Persistent HPV infections are predominantly high-risk types. Most patients clear the infection within 18 months, approximately 30% develop persistent infections, and about 15% of patients have persistent infections that last more than 24 months. However, the HR-HPV persistent infection rates across different age groups slightly differ.

Objective To explore the value of deep learning image reconstruction(DLIR)algorithm to improve the quality of low keV monochromatic portal vein images of energy spectrum CT.Methods Fifty patients who underwent enhanced upper abdominal energy spectrum CT scan were selected.Mixed-model adaptive statistical iterative reconstruction-Veo(50%ASIR-V)algorithm and high-deep learning image reconstruction(DLIR-H)algorithm were used to obtain monochromatic images at 40-70 keV(with intervals of 10 keV).The CT and standard deviation(SD)values of the portal vein trunk,left and right branches,and erector spinae muscle were measured in the transverse position,and the signal-to-noise ratio(SNR)and portal vein contrast-to-noise ratio(CNR)were calculated for objective evaluation.The portal vein image quality between the two algorithms and different energy was subjectively scored by two physicians.Results In terms of objective evaluation:compared with 50%ASIR-V,the CNR and SNR of portal vein in monochromatic DLIR-H images at the same keV between 40-70 keV energy levels were increased while the SD value was decreased(P＜0.05),and the CT value was unchanged;there was no statistical difference in the magnitude of change in CNR between the two algorithms at different energy levels(P＞0.05);there was a statistically significant difference in the magnitude of change in SNR and SD value(P＜0.05)and the magnitude of change was the largest at 40 keV;comparison between different energy levels of DLIR-H,the CNR and SD value of 40 keV DLIR-H were the highest(P＜0.05),and there was no significant difference in the SNR(P＞0.05).In terms of subjective evaluation:there was no significant difference between the subjective scores of the two algorithms at the same keV from 40-70 keV(P＞0.05),and the two reconstruction algorithms at 40 keV and 50 keV had the highest subjective scores between different keV.Conclusion The DLIR algorithm can reduce the noise of low keV monochromatic images,improve the image quality of portal vein.

Objective To use AI-assisted motor dysfunction assessment for quantitative evaluation of motor function in Parkinson's disease(PD)and multiple system atrophy-Parkinsonian type(MSA-P)in order to achieve accurate differential diagnosis.Methods A total of 105 participants aged ≥60 years were consecutively enrolled from the First and Third Medical Centers of Chinese PLA General Hospital between January and September 2024.Based on diagnostic criteria,they were divided into a PD group(48 cases),a MSA-P group(31 cases),and a control group(26 cases).The general information was collected,and the motor function was evaluated with Move-ment Dysfunction Assessment Software in order to assess the diagnostic value of the AI-assisted assessment in differentiating between PD and MSA-P.Results Significantly differences were observed among the three groups in terms of facial expression indicators,bilateral finger tapping frequency,bilateral hand movement frequency,right hand movement amplitude change rate,bilat-eral palm flipping frequency,bilateral toe tapping frequency,freezing load of bilateral toe tapping,bilateral leg flexibility frequency,right leg flexibility amplitude change rate,freezing load of bilat-eral leg flexibility,upright extension angular velocity,turnaround time,forward step frequency,backward step frequency,forward average stride length,backward average stride length,forward average walking speed,backward average walking speed,forward average step width,backward average step width,bilateral postural tremor frequency,bilateral postural tremor maximum am-plitude,bilateral action tremor frequency,bilateral action tremor maximum amplitude,and com-parison of bilateral resting tremor frequency(P＜0.05,P＜0.01).The MSA-P group exhibited significantly lower blink frequency,maximum amplitude and frequency of facial tremors,upright extension angular velocity,and step frequency,while higher ratio of mouth opening duration and longer turnaround time when compared with the PD group(P＜0.05,P＜0.01).The AUC value of the combined nine motor function indicators and the five facial expression indicators in differ-entiating PD from MSA-P was 0.943(95％CI:0.895-0.991,P=0.000)and 0.925(95％CI:0.870-0.981,P=0.000),respectively,both better than that of individual indicators.Conclusion Combi-nation assessment of facial expression,posture,gait with AI assistance can contribute to the dif-ferential diagnosis of PD and MSA-P.

Objective To analyze the relationship of total imaging burden score with blood pressure variability(BPV)and cognitive function in elderly patients with cerebral small vessel disease(CSVD).Methods Clinical data of 182 elderly CSVD patients admitted in our hospital from December 2022 to January 2024 were collected and analyzed retrospectively.According to the results of Chinese Guidelines for Diagnosis and Treatment of CSVD-Related Cognitive Dysfunc-tion(2019),Montreal Cognitive Assessment(MoCA)and other tools for their cognitive impair-ment,they were divided into cognitively impaired group(76 cases)and cognitively normal group(106 cases).The total burden score and BPV indicators[24 h systolic blood pressure coefficient of variation(24 h SBPCV),24 h diastolic blood pressure coefficient of variation(24 h DBPCV)]were compared between the two groups.ROC curve was plotted to evaluate the diagnostic value of total burden score,24 h SBPCV and 24 h DBPCV on cognitive impairment in elderly CSVD patients.Multivariate logistic regression analysis was used to identify the risk factors of cognitive impairment in the patients.Based on the MoCA score of the cognitively impaired group,these pa-tients were further assigned into mild and moderate-to-severe cognitive impairment subgroups[with a MoCA score of 18-25(43 cases)and＜18(33 cases),respectively].Then the total burden score,24 h SBPCV and 24 h DBPCV were compared between the two subgroups.Pearson correla-tion coefficient was adopted to evaluate the correlation of severity of cognitive impairment with total burden score,24 h SBPCV and 24 h DBPCV in the elderly CSVD patients.Results The total burden score,24 h SBPCV and 24 h DBPCV were significantly higher in the cognitively impaired group than the cognitively normal group(P＜0.01).ROC curve analysis indicated that total bur-den score(AUC=0.953,95％CI:0.926-0.980,P=0.000),24 h SBPCV(AUC=0.850,95％CI:0.795-0.906,P=0.000)and 24 h DBPCV(AUC=0.761,95％CI:0.690-0.832,P=0.000)had good diagnostic efficiency for cognitive impairment in the elderly CSVD patients,with a cut-off value of 1.5,11.82％,and 8.92％,respectively.Multivariate logistic regression analysis revealed that the above three indicators were risk factors for cognitive impairment in the elderly patients with CSVD(P＜0.05,P＜0.01).Their values were significantly lower in the mild than the moder-ate-to-severe cognitive impairment subgroups(P＜0.01).Pearson correlation analysis displayed that MoCA score was negatively correlated with total burden score,24 h SBPCV and 24 h DBPCV in elderly patients with CSVD(r=-0.755,-0.632,-0.601,P＜0.01).Conclusion Detection of total burden score and BPV indicators is beneficial to the assessment of cognitive impairment in elderly CSVD patients.The higher the total burden score and the greater the BPV indicators,the more severe the cognitive impairment is,which may explore new ideas for clinical diagnosis and treatment of CSVD.

OBJECTIVE To explore the clinical characteristics of the nontuberculous Mycobacteria pulmonary dis-ease(NTMPD)patients with previous pulmonary tuberculosis(PPTB)and analyze the clinical difference from the recurrence of pulmonary tuberculosis.METHODS By means of retrospective survey,the patients who were diag-nosed with NTMPD and recurrent pulmonary tuberculosis in Wuhan Pulmonary Hospital from Mar.2021 to Oct.2023 were recruited as the research subjects,a total of 395 patients with NTMPD were enrolled in the study and were divided into the PPTB-NTMPD group with 92 cases and the NPPTB-NTMPD group with 303 cases according to the history of PPTB.The baseline data,clinical symptoms,imaging findings,underlying diseases,pulmonary diseases,and species of nontuberculous Mycobacteria(NTM)were observed and compared.Totally 92 patients with recurrent pulmonary tuberculosis were randomly screened and assigned as the recurrent pulmonary tuberculo-sis group in a 1:1 ratio by matching the PPTB-NTMPD group with the gender and age.The major clinical charac-teristics were compared between the two groups.The 92 patients with PPTB-NTMPD were divided into the 1-10 years group with 40 cases,the 10-30 years group with 37 cases,and the more than 30 years group with 15 cases according to the interval between the initial diagnosis of pulmonary tuberculosis and the diagnosis of NTMPD.The major clinical characteristics were compared among the groups.RESULTS The age was(64.21±10.71)years old in the PPTB-NTMPD group,(60.26±11.83)years old in the NPPTB-NTMPD group(t=3.020,P=0.003).The proportion of patients with body mass index less than 18.5 kg/m2 was 59.78％in the PPTB-NTMPD group,41.25％in the NPPTB-NTMPD group(x2=6.155,P=0.013);the proportion of patients with cough was 77.17％in the PPTB-NTMPD group,65.68％in the NPPTB-NTMPD group(x2=4.313,P=0.038);the inci-dence of cavitary shadow was 50.00％in the PPTB-NTMPD group,35.31％in the NPPTB-NTMPD group(x2=6.414,P=0.011);the incidence of emphysema and pulmonary bullae was 29.35％in the PPTB-NTMPD group,12.87％in the NPPTB-NTMPD group(x2=13.766,P＜0.001);the incidence of chronic obstructive pulmonary disease(COPD)was 22.83％in the PPTB-NTMPD group,14.19％in the NPPTB-NTMPD group(x2=3.875,P=0.049);the incidence of damaged lung was 9.78％in the PPTB-NTMPD group,2.97％in the NPPTB-NT-MPD group(x2=7.530,P=0.014);there were significant differences.Mycobacterium intracellulare and Myco-bacterium abscessus were the predominant species of NTM in both the PPTB-NTMPD group and the NPPTB-NT-MPD group,there was no significant difference in the distribution of NTM species between the two groups of pa-tients.The incidence of patch shadow of the PPTB-NTMPD group was lower than that of the recurrent pulmonary tuberculosis group(P＜0.05),the incidence of bronchiectatic shadow of the PPTB-NTMPD group was higher than that of the recurrent pulmonary tuberculosis group(P＜0.05).There were significant differences in the age,incidence of pleural thickening and incidence of COPD among the patients with different time intervals between ini-tial diagnosis of pulmonary tuberculosis and the diagnosis of NTMPD in the PPTB-NTMPD group(P＜0.05).CONCLUSIONS The previous pulmonary tuberculosis mainly affect the body mass index less than 18.5 kg/m2 and the post-tuberculosis pulmonary diseases such as cough,pulmonary cavity,emphysema,pulmonary bullae,COPD and damaged lung of the NTMPD patients.The NTMPD patients with previous pulmonary tuberculosis are more likely to have bronchiectasia than the patients with recurrent tuberculosis.It is necessary for the clinicians to attach great importance.

Objective To improve and refine the relevant regulations and guiding principles of warnings on drug instructions and labels in China.Methods This paper sorted out the drug instructions of small molecule anti-tumor drugs listed by the U.S.Food and Drug Administration(FDA)from 2005 to 2022,included the drugs mentioned in the QT interval prolongation risk,analyzed the clinical research and QT research results,and sorted out the identification and warning rules of the instructions.Results A total of 35 drugs were included,4 drugs wrote the risk of QT interval prolongation in the black box warning,21 drugs were wrote in the warning and precautions position,6 drugs were wrote in the adverse reaction section,and 2 drugs were only described under clinical pharmacology section.According to the severity of the QT interval prolongation caused by the drug and whether there were serious clinical consequences,they were displayed in the warnings(black box warnings),precautions(warnings and precautions)and adverse reactions in the instructions.Conclusion The aim of this article is to provide a reference for the writing of QT risk warning information of the instructions of domestic drug production enterprises and regulatory departments.It is recommended to clarify the severity of drug safety and the location of the instructions in clinical research,and continue to carry out safety monitoring and update the instructions in time after listing.

Objective To develop a refined management model for operating rooms and assess its clinical impact on op-erational efficiency and cost control.Methods The study included 10,728 elective surgeries from January to June 2024 as the study group and 9 414 elective surgeries from January to June 2023 as the control group.The differences in operational metrics before and after implementing the refined management model were compared.The model was developed through comprehensive management by hospital leadership and multi-department collaboration,focusing on management structure,systems,processes,information technology,and resource allocation.Results In terms of efficiency,the on-time start rate of the first surgeries in the study group was significantly higher than in the control group(P＜0.05).The turnover time between surgeries was shorter in the study group(P＜0.01),and the rate of unexpected surgery cancellations was lower(P＜0.01).The average cost per surgery for consumables,excluding the impact of centralized procurement of consumables,was approximately 971 yuan,representing an 11% reduction compared to the previous year,despite a 14% increase in surgical volume.The average daily operating cost per operating room was about 12 303 yuan,a 7% reduction.Economic benefits increased by 8.43 million yuan,a 38% year-on-year increase.Conclusion Implementing a refined management model in operating rooms can significantly enhance efficiency,re-duce costs,and achieve dual improvements in social and economic benefits.

Objective To summarize the role of clinical pharmacists in pharmaceutical care in the treatment of patients with pneumocystis jirovecii pneumonia secondary to immune-mediated colitis.Methods The association of immune-mediated colitis induced by serplulimab was evaluated by clinical pharmacist,anti-infective regimen for pneumocystis jirovecii pneumonia was put forward,addressed concerns regarding the impact of trimethoprim/sulfamethoxazole on the efficacy of fecal microbiota transplantation,pharmaceutical care for whole therapeutic process of the patient was monitored.Results Through pharmaceutical care and collaborating with physicians,the patient's pneumocystis jirovecii pneumonia was significantly improved,and the clinical and endoscopic remission of immune-mediated colitis after two fecal microbiota transplantation were achieved.Conclusion To ensure the safety and effectiveness of immune-mediated colitis and pneumocystis jirovecii pneumonia for patients,clinical pharmacists should play the role of participation and pharmaceutical care.