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 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.

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.

OBJECTIVE To investigate the improvement effects and potential mechanisms of Sangbaipi decoction （SBP） on mice with second-hand smoke-induced pulmonary fibrosis （PF）. METHODS Using network pharmacology methods， the common targets between the active components of SBP and PF-specific targets were screened， the protein-protein interaction network was constructed， the pathway enrichment analysis was performed using the Kyoto Encyclopedia of Genes and Genomes， and the molecular docking was conducted. Based on these results， the male Kunming mice were divided into a normal control group， a model control group， an SBP group （1.08 g/kg， calculated by crude drugs）， and a pirfenidone group （positive control， 90 mg/kg）， with eight mice in each group. Except for the normal control group， all other groups were exposed to second-hand smoke via the static respiratory tract smoking method （30 min of smoking twice daily for 20 consecutive days） to establish a mouse model of PF induced by second-hand smoke. Each drug group was administered the corresponding drug solution via gavage 0.5 h after the second daily smoke exposure； the normal control and model control groups were simultaneously administered an equal volume of water via gavage， once daily for 20 consecutive days. Twenty-four hours after the final administration， pathological changes in lung tissue were observed， and the levels of pro-inflammatory factors， injury markers， and the expression of proteins in related signaling pathways in lung tissue were detected. RESULTS A total of 2 448 common targets were identified， with core targets including protein kinase B1 （AKT1）， tumor necrosis factor-α （TNF-α）， and interleukin-6 （IL-6）， which were enriched in signaling pathways such as phosphoinositide 3-kinase （PI3K）/AKT. The bin ding energies of AKT1， PI3K， TNF-α， and IL-6 to the active compound chaksine were －11.0， －7.7， －9.0， and －9.4 kcal/mol， respectively. Compared with the model control group， pathological changes such as inflammatory cell infiltration and collagen deposition in lung tissue were alleviated in the administration groups. The expression of collagen Ⅲ in lung tissue was significantly downregulated， and the levels of IL-6， TNF-α， tissue inhibitor of metalloproteinase 1， and pulmonary surfactant-associated protein D， as well as the percentage of positive areas with pulmonary fibrosis and protein phosphorylation levels of PI3K and AKT， were all significantly downregulated or reduced （ P ＜0.05）. CONCLUSIONS The role of SBP in improving PF induced by second-hand smoke may be related to the regulation of multiple core targets， including AKT1， and the inhibition of the PI3K/AKT signaling pathway， thereby alleviating pulmonary inflammation and collagen deposition.

Objective To screen ferroptosis genes related to the prognosis of cervical cancer and to construct a prognosis model. Methods Ferroptosis genes were obtained from FerrDb database, and cervical cancer related data were obtained from The Genome-Wide Association Study Catalog database and The Cancer Genome Atlas database. Transcriptome-Wide Association Study, colocalization analysis and differential expression analysis were conducted to screen out candidate ferroptosis genes; Gene Ontology functional and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were conducted on candidate genes. Univariate Cox regression analysis was used to further screen out genes related to the prognosis of cervical cancer. Kaplan-Meier method was used to analyze the relationship between genes and the overall survival of patients. The expression levels of genes in pan-cancer were analyzed through the TIMER database. Two prognostic models were conducted, Model 1 included age and tumor stage, while Model 2 incorporated age, tumor stage, and prognostic genes. The predictive capabilities of the two models were compared. Results A total of 91 candidate genes related to ferroptosis were obtained. Univariate Cox regression analysis showed that 15 genes were associated with the prognosis of cervical cancer. CA9, SCD, TFRC, QSOX1 and CDO1 were risk factors affecting the prognosis of cervical cancer patients (P＜0.05), while PTPN6, ALOXE3, HELLS, IFNG, MIOX, ALOX12B, DUOX1, ALOX15, AQP3 and IDO1 were protective factors (P＜0.05). The mRNA expression levels of the 15 genes showed significant upregulation or downregulation in at least 7 types of cancers, among which TFRC was associated with the largest number of cancer types. Kaplan-Meier analysis showed that HELLS, DUOX1 and ALOXE3 were associated with poor prognosis in cervical cancer. The AUC of the model 1 for predicting 1-year and 3-year overall survival rates of cervical cancer patients was 0.455 and 0.478, and the AUC of Model 2 was 0.854 and 0.595. Model 2 (C-index = 0.727) had better predictive ability than Model 1 (C-index = 0.502). Conclusion The prognostic model composed of 15 prognostic-related genes selected based on bioinformatics has better predictive performance for the survival outcomes of cervical cancer patients, providing important reference value for the prognostic assessment of cervical cancer patients.

Aim To investigate the effect of high-fat diet on the tight junction function injury of Sertoli cells through the NF-κB/NLRP3 signaling pathway in mice and to explore the underlying mechanism.Methods Male C57BL/6J mice were fed with high-fat or normal diet for five months.The body and gonadal organ weight of mice were measured,and their indices were calculated.The sperm concentration,the sperm viabili-ty,the testicular histomorphology and the expression levels of tight junction proteins ZO-1,Occludin and Claudin-11 were measured.TM4 cells were treated with palmitic acid(PA)for 24 h.Cell viability was detected by CCK-8 method.Then,TM4 cells were di-vided into different groups treated with PA(0,50,100,200 and 300 μmnol·L-1),and the expression lev-els of tight junction proteins ZO-1,Occludin and Clau-din-11 were detected by Western blot.The tight junc-tion permeability of TM4 cells were detected by transepithelial electrical resistance(TEER)and FITC-dextran.The expression levels of mRNA and proteins for the NF-κB/NLRP3 pathway-related factors were de-tected by RT-qPCR and Western blot.Results The results from animal experiments showed that high-fat diet increased body weight and seminal vesicle weight of mice,and decreased testicular index,epididymal in-dex,sperm concentration and sperm motility of mice.High-fat diet also caused testicular tissue structure damage and down-regulated the expression levels of tight junction proteins ZO-1 and Occludin,without af-fecting the expression of Claudin-11.In vitro,PA sig-nificantly down-regulated the expression levels of ZO-1,Occludin and Claudin-11 in TM4 cells,increased the cell permeability,as well as up-regulated the mRNA and protein expression levels of NLRP3/NF-κB signa-ling pathway-related factors in TM4 cells.Conclusions High-fat diet can impair the function of tight junction of testicualr Sertoli cells,and the machanism may be related to the activation of the NF-κB/NLRP3 signaling pathway,resulting in Sertoli cell inflammation in mice.

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.

Objective:To establish a chain management model for blood glucose in critically ill patients after cardiac surgery and analyze its clinical effectiveness, and to provide a reference for related clinical nursing practices.Methods:A quasi-experimental study design was adopted. Using convenience sampling, 120 critically ill patients after cardiac surgery admitted to Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine were selected as study subjects. They were divided into groups based on the time of admission to the intensive care unit after surgery. Sixty patients admitted from March to May 2024 were assigned to the control group and received conventional blood glucose management. Another 60 patients admitted from June to August 2024 were assigned to the observation group and received the chain management model for blood glucose control in addition to the conventional approach. Blood glucose levels and quality indicators of blood glucose management (including maximum blood glucose fluctuation, time in target glucose range, duration of insulin use, incidence of hypoglycemia, etc.) were compared between the two groups.Results:The control group included 27 males and 33 females, with an age of 63.00(59.00, 69.25) years; the observation group included 28 males and 32 females, with an age of 66.00(60.00, 70.00) years. The blood glucose levels of the observation group on postoperative days 2, 3, 4 were 9.10(8.68, 9.90), 8.90(8.40, 10.00), 8.75(7.38, 9.03) mmol/L, respectively, which were lower than those of the control group [10.30(9.80, 11.00), 9.95(9.40, 11.05), 9.30(8.10, 10.02) mmol/L], with a statistically significant difference ( Z=-5.85, -4.95, -3.50, all P<0.05). The maximum blood glucose fluctuation in the observation group was (4.09 ± 2.45) mmol/L, lower than that of the control group [(5.19 ± 2.47) mmol/L], with a statistically significant difference ( t=2.46, P<0.05). The time in the target glucose range was 67.00(60.00, 75.00)% in the observation group, higher than that of the control group 52.00(45.00, 60.00)%, with a statistically significant difference ( Z=-6.57, P<0.05). The duration of insulin use was 6.00(5.00, 7.00) h in the observation group, shorter than that of the control group [13.00(9.75, 15.32) h], with a statistically significant difference ( Z=-8.68, P<0.05). The incidence of hypoglycemia was 3.33%(2/60) in the observation group and 15.00%(9/60) in the control group, with a statistically significant difference ( χ2=4.90, P<0.05). The mechanical ventilation time, ICU stay, and total hospital stay in the observation group were 42.00(37.00, 89.25) h, 6.00(5.00, 7.00) d, and 12.00(11.75, 13.00) d, respectively, which were shorter than those of the control group [96.00(86.25, 98.00) h, 7.00(7.00, 10.00) d, and 13.00(11.75, 15.00) d], with a statistically significant difference ( Z=8.67, 17.57, 4.73, all P<0.05). Conclusions:The implemented chain management model for blood glucose control meets the comprehensive requirements of blood glucose management. It not only reduces blood glucose fluctuations and decreases the incidence of hypoglycemia but also effectively improves the quality of blood glucose management in critically ill patients after cardiac surgery, enhances the safety of blood glucose control, and promotes patient recovery.

Objective:To investigate the relationship between glycated hemoglobin (HbA1c) level and the occurrence of diabetes complications in patients with type 2 diabetes mellitus in 11 provinces in China.Methods:A total of 4 832 patients with type 2 diabetes mellitus from 60 surveillance sites in 11 provinces where national surveillance for chronic diseases and risk factors was conducted in 2010 were selected as the study participants, and a follow-up survey was conducted in 3 516 persons from 2016 to 2017, finally 3 427 patients were included in the analysis after excluding those data exception and incomplete data. Cox proportional risk regression model was used to evalaute the association between HbA1c level and the risk for diabetes complications (macroangiopathy, microangiopathy and diabetic foot), and subgroup analyses were conducted according to the baseline characteristics of the study participants, such as age, gender and smoking status.Results:A total of 3 427 study participants were included in final analysis of the follow up for an average of 6.2 years, in whom 395 suffered from macroangiopathy, 226 suffered from microangiopathy, and 57 suffered from diabetic foot later during the follow-up period. After adjusting for relevant confounders, using the HbA1c <7.0% as a reference, there was no increased risk for macrovascular lesions in the those with HbA1c levels of 7.0%-, 7.5%-, 8.0%-8.4%, and the risk for macrovascular lesions increased by 38% in those with HbA1c ≥8.5% ( HR=1.38,95% CI:1.06-1.80); the risk for microangiopathies increased by 131% ( HR=2.31,95% CI:1.46-3.65), 206%( HR=3.06,95% CI:1.91-4.90) and 208% ( HR=3.08,95% CI:2.20-4.30) in those with HbA1c levels of 7.5%-, 8.0%-, ≥8.5%, respectively; and the risk for diabetic foot increased by 253% ( HR=3.53, 95% CI: 1.89-6.59) in those with HbA1c level ≥8.5%. Subgroup analyses revealed an effect modifying effect of different diabetes diagnosis situations (previously diagnosed and newly diagnosed) on HbA1c level and the risk for microangiopathy. Conclusions:HbA1c level ≥7.5% would increase the risk for microangiopathy in patients with type 2 diabetes mellitus, the higher the level, the higher the risk, and HbA1c level ≥8.5% would increase the risk for macrovascular lesions and diabetic foot. It is necessary to strengthen the health education in diabetic patients to improve their awareness of blood glucose management and the importance of HbA1c level control to effectively reduce or delay the diabetes complications.