ObjectiveTo establish a new noninvasive， simple， and convenient clinical predictive model by identifying independent predictive factors for rebleeding after endoscopic therapy in cirrhotic patients with esophagogastric variceal bleeding （EGVB）， and to provide a basis for individualized risk assessment and development of clinical intervention strategies. MethodsCirrhotic patients with EGVB who were diagnosed and treated in The First Affiliated Hospital of Xi’an Medical University from September 2018 to October 2023 were enrolled as subjects， and according to whether the patient experienced rebleeding within 1 year after endoscopic therapy， they were divided into rebleeding group with 93 patients and non-rebleeding group with 84 patients. Clinical data were collected and analyzed. The independent samples t-test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. A Logistic model was established based on the results of the univariate and multivariate analyses， and the receiver operating characteristic （ROC） curve and the area under the ROC curve （AUC） were used to assess the accuracy of the model. R software was used to visualize the model by plotting a nomogram， and the Bootstrap method was used for internal validation of the model. ResultsThe multivariate analysis showed that red blood cell count （RBC）， cholinesterase （ChE）， alkaline phosphatase （ALP）， albumin （Alb）， thrombin time （TT）， portal vein trunk diameter， sequential therapy， and primary prevention were independent predictive factors for rebleeding. Based on the results of the multivariate analysis， a logistic model was established as logit（P）=-0.805-1.978×（RBC）+0.001×（ChE）-0.020×（ALP）-0.314×（Alb）+0.567×（TT）+0.428×（portal vein trunk diameter）-2.303×［sequential therapy （yes=1， no=0）］-2.368×［primary prevention （yes=1， no=0）］. The logistic model （AUC=0.928， 95% confidence interval ［CI］： 0.893—0.964， P<0.001） had a better performance in predicting rebleeding than MELD score （AUC=0.603， 95%CI： 0.520—0.687， P=0.003）， Child-Pugh class （AUC=0.650， 95%CI： 0.578—0.722， P=0.001）， and FIB-4 index （AUC=0.587， 95%CI： 0.503—0.671， P=0.045）. The model had an optimal cut-off value of 0.607， a sensitivity of 0.817， and a specificity of 0.817. Internal validation confirmed that the model had good predictive performance and accuracy. ConclusionSequential therapy， implementation of primary prevention， an increase in RBC， and an increase in Alb are protective factors against rebleeding， while prolonged TT and widened main portal vein diameter are risk factors. The logistic model based on these independent predictive factors can predict rebleeding and thus holds promise for clinical application.

To thoroughly implement the strategic deployment outlined in the Opinions of the Central Committee of the Communist Party of China and the State Council on Promoting the Inheritance and Innovative Development of Traditional Chinese Medicine regarding research on dominant diseases of traditional Chinese medicine and to uphold the development philosophy of equal emphasis on traditional Chinese medicine and western medicine，the China Association of Chinese Medicine has fully played a leading academic role by systematically organizing and conducting a series of academic youth salons on clinical dominant diseases of traditional Chinese medicine. On September 13，2024，the 36^th Youth Salon on Clinical Dominant Diseases was successfully held in Nanjing，focusing on the advantages of traditional Chinese medicine and the integrative traditional Chinese medicine and western medicine in the diagnosis and treatment of erectile dysfunction （ED）. The conference brought together leading experts from traditional Chinese medicine，western medicine，and interdisciplinary fields，facilitating in-depth multidisciplinary discussions that led to key consensus on optimizing traditional Chinese medicine treatment protocols for ED，researching and developing new drugs of traditional Chinese medicine，and advancing interdisciplinary development in traditional Chinese medicine. This salon systematically sorted out the clinical strengths and distinctive features of traditional Chinese medicine in the diagnosis and treatment of ED. Based on current research foundations and clinical needs，it identified key directions for future scientific layout and scientific research tackling： （1） Standardization of syndrome differentiation system of traditional Chinese medicine for ED. （2） Optimization and standardization of intervention methods of integrated traditional Chinese medicine and western medicine. （3） High-quality clinical research guided by evidence-based medicine. （4） In-depth analysis of the pharmacological mechanisms of traditional Chinese medicine in the treatment of ED. （5） Clinical translation and application promotion of new drugs of traditional Chinese medicine. （6） Interdisciplinary integration and innovation in traditional Chinese medicine. For each research direction，key focus areas，expected objectives，and clinical value were further refined，along with the establishment of a scientifically sound priority funding level evaluation system. Therefore，building on the series of salons on the ED-focused dominant diseases of traditional Chinese medicine，this paper provides standardized guidance for clinical practice of traditional Chinese medicine in ED management，effectively contributing to the high-quality development of traditional Chinese medicine. It serves as a valuable reference for national scientific and technological strategic layout， research and development decision-making in new drugs of traditional Chinese medicine，research topic planning，and clinical guideline formulation.

Objective To explore a novel method for early lung cancer screening based on exhaled breath analysis. Methods This study enrolled patients with suspected pulmonary malignancies and healthy individuals undergoing physical examinations at Sir Run Run Shaw Hospital, Zhejiang University School of Medicine (Qingchun and Qiantang campuses) from September 2023 to June 2024. Enrolled subjects were categorized into a lung cancer group, a benign nodule/tumor group, and a healthy control group. Exhaled breath samples were collected using a sensor array constructed from multiple graphene composite materials to capture breath fingerprints. Based on the collected data, screening and diagnostic models for lung cancer were developed and their performance was evaluated. Results A total of 4 580 subjects were included. Among them, 3 195 were pathologically diagnosed with pulmonary malignancies, including 1 394 males and 1 801 females with a mean age of (58.93±12.37) years, 599 were diagnosed with benign nodules/tumors including 339 males and 260 females with a mean age of (57.10±11.06) years, and 786 were healthy controls with no pulmonary nodules detected on chest CT including 420 males and 366 females with a mean age of (29.75±9.32) years. There were 4 031 patients in the training set and 549 patients in the external testing set. The screening model for high-risk populations (distinguishing patients with lung cancer/high-risk pulmonary nodules from healthy individuals) demonstrated excellent performance, with an area under the receiver operating characteristic curve (AUC) of 0.926. At the optimal Youden’s index (cutoff threshold of 63.5%), the external testing set achieved a specificity of 85.2%, a sensitivity of 88.4%, and an accuracy of 86.8%. The diagnostic model (distinguishing patients with lung cancer/premalignant lesions from those with benign pulmonary nodules/healthy individuals) achieved an AUC of 0.818. At its optimal Youden’s index (cutoff threshold of 47.0%), the external testing set showed a specificity of 71.7%, a sensitivity of 77.3%, and an accuracy of 74.5%. Conclusion The non-invasive breath analysis platform based on a sensor array, developed in this study, can achieve rapid and relatively accurate lung cancer screening by analyzing breath fingerprints. This confirms the feasibility of this technology for early lung cancer screening and holds promise for facilitating the early detection and intervention of lung cancer.

OBJECTIVE To introduce the development of an intelligent prescription review decision-support system for anti-tumor drugs and assess its clinical application outcomes. METHODS Relevant data sources， including national and local pharmaceutical administration policies， clinical practice guidelines/consensus， hospital information systems data， and genetic testing results， were integrated. Adhering to the principles of structure， standardization and dynamic updating， a knowledge base covering chemotherapeutic， targeted and immunotherapeutic agents was constructed using a dual-dimensional modeling approach that combined “drug attributes” and “clinical contexts”. This knowledge base was then embedded into the hospital’s electronic medical order system to establish the prescription review decision-support system. The application and performance of the system were evaluated at Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine. RESULTS A knowledge base containing 18 318 prescription review rules for anti-tumor drugs was constructed， and a closed-loop prescription review system was successfully established， encompassing pre-prescription real-time intervention， in-process interactive review， and post-prescription evaluation and analysis. From 2021 to 2024， the system generated a total of 57 879 alerts for prescriptions of five typical categories of anti-tumor drugs. For platinum-containing prescriptions， 22 577 alerts were generated， with Cisplatin for injection （lyophilized） being the most frequently alerted drug （13 445 alerts）， and “ototoxicity risk due to combined use” alerts remained high （7 682 alerts）. For methotrexate-containing prescriptions， 3 721 alerts were recorded， primarily related to “precaution-related issues” （76.4%， 2 843/3 721）. For doxorubicin-containing prescriptions， 17 301 alerts were triggered， primarily related to “dosage and administration” （14 315 alerts）. For human epidermal growth factor receptor 2-targeted agents-containing prescriptions， 1 007 alerts were issued， mostly related to “reimbursement restrictions” （956 alerts）. For programmed death-1/programmed death-ligand 1 inhibitors-containing prescriptions， the alerts increased year by year， totaling 13 273 alerts， primarily related to “inappropriate indication” （9 118 alerts）. Over the 4 years， the physician response rates to system alerts were 21.4%， 27.1%， 33.5% and 51.6%， respectively. CONCLUSIONS An intelligent decision-support system for anti-tumor drug prescription review， encompassing a closed-loop process of “real-time pre-event intervention， interactive in-event prescription review， post-event evaluation and analysis”， has been successfully constructed and implemented throughout the entire workflow. There is a discernible trend in this hospital， where the focus on monitoring anti-tumor drugs is shifting towards immunotherapy drugs. Additionally， the acceptance rate of physicians regarding prescription review opinions has been steadily increasing year by year.

Depression is a heterogeneous mental disorder in which the interaction between genetic susceptibility and environ-mental factors plays a key role in its pathogenesis.Although the specific mechanisms of the disease still need to be thoroughly studied and elucidated,there is now a broad consensus that epi-genetic markers have a central influence on its mechanism of ac-tion.DNA methylation of brain-derived neurotrophic factor(BD-NF)is not only regarded as a promising epigenetic biomarker of pathology,but may also help predict the efficacy of antidepres-sants.In this paper we reviewed the gene structure of BDNF and its DNA methylation regulation mechanism,and also analyzed the changes of DNA methylation of this factor in depression pa-tients and animal models,aiming to provide new ideas and theo-retical support for clinical research.

Objective To explore the differences in muscle synergies of healthy individuals,intact limbs and residual limbs of above-knee amputees under different gaits,provide references for electromyographic control of the prosthetics.Methods Surface electromyography(sEMG)signals of 7 muscles(4 thigh muscles,3 calf muscles)were collected from 7 healthy individuals and 3 lower-limb amputees during level walking,ascending/descending slopes,and ascending/descending stairs.Muscle synergy weights(W)and temporal activation coefficients(H)were extracted using concatenated non-negative matrix factorization(CNMF).The W matrices were compared using the coefficient of determination R2,and the activation coefficients were analyzed using statistical parametric mapping(SPM).Furthermore,peak activation and activation integral were used for hierarchical clustering analysis.Results The comparison of W matrices indicated a similar set of muscle synergies between the healthy group and the intact limb of amputees,whereas the residual limb showed greater variability in synergies.The analysis of H showed statistically significant differences in muscle activation throughout the gait cycle for all amputees.Clustering of time-domain features revealed that amputees exhibited higher activation integral and peak values in their intact limb during ascending slopes.Conclusions This study provides an in-depth investigation of the neuromuscular compensation strategies in lower-limb amputees under different gaits,offering theoretical insights for gait rehabilitation and assisting in the development of EMG-controlled prosthetics.

AIM To investigate the effects of Xuesaitong Capsules(Panax notoginseng saponins)on ischemia/reperfusion injury in a mouse model of skin frostbite.METHODS The mice were randomly divided into the control group,the model group,the dexamethasone group(1 mg/kg),and the low-dose,medium-dose,and high-dose Xuesaitong Capsules groups(0.036,0.072,and 0.144 g/kg),with eight mice in each group.A frostbite model was established using a dry ice-cooled ceramic(ferrite)magnet.On the 2nd day after modeling,each group started its corresponding dosing by gavage for 14 consecutive days.The wound healing,histopathological changes,and serum levels of high-sensitivity C-reactive protein(hs-CRP),thromboxane B2(TXB2),6-keto-prostaglandin F1α(6-K-PGF1α),nitric oxide(NO)and endothelin(ET)were assessed using ELISA.The superoxide dismutase(SOD)activity and malondialdehyde(MDA)levels in skin tissues were measured biochemically.The protein expressions of tumor necrosis factor(TNF)-α,interleukin(IL)-1β,IL-6,Toll-like receptor(TLR)4 and phosphorylated nuclear factor-KB p65(p-NF-κB p65)in skin tissues were determined by Western blot.Additionally,LncRNA H19 mRNA expression in skin tissues was evaluated using RT-qPCR.RESULTS After the final administration,compared with the control group,the model group exhibited partial scab detachment,wound healing,and larger wound areas;hyperkeratosis with incomplete keratinization,detachment of the dermis and subcutaneous tissue,partial loss of appendages,subcutaneous edema,and dilated,congested,and hemorrhagic stromal vessels with extensive lymphocyte infiltration revealed by the histopathological examination;elevated serum levels of hs-CRP,TXB2,and ET(P＜0.05,P＜0.01);decreased 6-K-PGF1α and NO levels(P＜0.05,P＜0.01);reduced SOD activity in skin tissues(P＜0.01);increased MDA levels(P＜0.01);and upregulated protein expressions of TNF-α,IL-1β,IL-6,TLR4 and p-NF-κB p65,as well as LncRNA H19 mRNA expression(P＜0.05,P＜0.01).Compared with the model group,the group intervened with high-dose Xuesaitong Capsules displayed reduced wound areas(P＜0.01);decreased serum levels of hs-CRP,TXB2 and ET(P＜0.05,P＜0.01);increased 6-K-PGF1α and NO levels(P＜0.05,P＜0.01);enhanced SOD activity(P＜0.05,P＜0.01);reduced MDA level in skin tissues(P＜0.05,P＜0.01);and down-regulated TNF-α,IL-1β,IL-6,TLR4 and p-NF-κB p65 protein expressions and suppressed LncRNA H19 mRNA expression in skin tissues as well(P＜0.05,P＜0.01).CONCLUSION Xuesaitong Capsules alleviate ischemia/reperfusion injury in frostbite-injured mice by exerting anti-inflammatory and anti oxidative stress effects and restoring vascular endothelial function mediated by the downregulation of LncRNA H19 expression and inhibition of the TLR4/NF-κB signaling pathway.

This study was aimed at developing an in vitro fluorescent substrate assay for the activity of leucyl aminopeptid-ase(LAP)from Echinococcus multilocularis and comparing it with the chemical chromogenic substrate enzyme activity assay.Through the establishment of reaction conditions for the fluorescent substrate-based in vitro enzyme activity assay,we com-pared the differences between the fluorescent substrate L-Leucine-7-amido-4-methylocoumarin(Leu-AMC)and the chemical chromogenic substrate L-Leucine-4-nitroanilide(Leu-pNA)through molecular docking,inhibition rates,and precision measures.Molecular docking revealed that the fluorescent substrate Leu-AMC had higher affinity for the protein than the chemical chromogenic substrate Leu-pNA.Through analysis of the effects of varying reaction conditions on fluorescence intensi-ty,we optimized the fluorescent substrate enzyme activity assay to demonstrate favorable performance at a reaction temperature of 37℃,a pH of 9.0,a protein concentration of 800 nmol/L,and a reaction duration of 60 minutes.Leu-AMC exhibited significant and distinct responses at a 5 μmol/L substrate concentration,under varying substrate conditions.The fluo-rescent substrate assay demonstrated more significant intergroup differences than the chemical chromogenic substrate assay when various inhibitors were added.This study established a fluorescence-based enzyme activity assay for leucyl aminopeptidase from Echinococcus multilocularis by using Leu-AMC as the substrate;this method demonstrated a more significant intergroup difference and sensitivity than the chemical chromogenic substrate assay.

This study was aimed atanalyzing the epidemic characteristics of dengue fever in Ruili City atthe China-Myanmar bor-der in late 2023,to provide evidence for local dengue fever prevention and control measures.Adult Aedes mosquitoes were collected from Ruili City with a backpack type mosquito sucking machine in October of 2023.Serum samples frompatients with suspected den-gue were collected in acutephase,in November of 2023.Detection ofdengue virus(DENV)nucleic acids in Aedesmosquitoes and acute phase serum samples from suspected dengue fever patients using reverse transcription-polymerase chain reaction,and nucleic acid positive samples were inoculated into Vero cells for viral culture.After three consecutive blind passage,samples with cytopathic effect(CPE)were collected for be sequencingand analysisof genetic and evolutionary information.Dengue case characteristics were analyzed through descriptive epidemiological methods.Among the 109 cases of dengue fever,the ratio of males to females was 1.27∶1.The youngest patient was 1 year old,the oldest patient was 84 years old,the age group of 20～59 years accounted for 73.39%,and the major-ity of occupations were freelancer(40.37%).A total of 827 female Aedes albopictus and 312 Aedes aegypti were collected,all of which tested negative for DENV nucleic acid.109 serum samples tested positive for DENV nucleic acid,including 49 DENV-1 and 60 DENV-2.Moreover,five DENV-1 and nine DENV-2 samples were obtainedthrough third-generation blind passaging with CPE.The E gene sequences of these five DENV-1 strains were detected,all were found to belong to DENV-1 genotype I,and had same evolu-tionary branch as the 2023 Guangzhou,China(PP563911),the 2019 Myanmar(MW793710),and 2019 Attapeu,Laos(MW559046).The nucleotide and amino acid sequence similarityamong the five DENV-1 genotype was 99.4%-99.9%and 99.8%-100.0%.Compared with the aforementioned epidemic strains,their nucleotide similarities were 99.5%-100.0%,99.4%-99.6%and 99.3%-99.5%,respec-tively,and amino acid similarity was 99.8%-100.0%.Nine DENV-2 E gene sequences were of Asian genotype I and belonged to the same evolutionary branch as the 2018 Myanmar(MW788982),2019 Hangzhou(OP684212)and 2019 Ruili(OQ928150).The nucleotide and amino acid similarities of the nine samples were 99.5%-100.0%and 99.8%-100.0%,respectively.Compared with the aforementioned epidemic strains,their nucleotide similarities were 99.7%-100.0%,99.3%-99.7%and 99.3%-99.7%,respectively,and the amino acid similarity was 99.8%-100%,99.8%-100.0%and 99.4%-99.6%,respectively.Two dengue vectors,Aedes albopictus and Aedes aegypti,were present in Ruili city,and the dengue outbreak was caused primarily by DENV-1 genotype I and DENV-2 Asian genotype I in later 2023.The sources of DENV-1 were probably the same as those of DENV-1 with Guangzhou(2023),and the sources of DENV-2 were probably from Myanmar.Dengue cases were found primarilyin the 20-59 year age group and freelancers,thus suggesting that relevant local departments should strengthen surveillance of dengue imported case and vector.