Irritable bowel syndrome （IBS） is a functional bowel disorder characterized primarily by abdominal pain and altered defecation habits. In recent years， traditional Chinese medicine （TCM） has made progress in multiple aspects of IBS research and treatment， including syndrome distribution， development of TCM formulas， clinical efficacy evaluation， external therapies， and psychosocial regulation. However， it still faces challenges such as over-reliance on symptomatic manifestations rather than biomarkers for diagnostic criteria， and the lack of high-quality evidence-based data supporting the efficacy of TCM formulas in treating IBS. This paper proposed that TCM diagnosis and treatment of IBS should adhere to the strategy of integrating the holistic concept with syndrome differentiation and treatment， combining TCM external therapies such as acupuncture， moxibustion and acupoint application）， and emphasizing individualized diagnosis and treatment for psychosomatic abnormalities. Future research should integrate multi-omics technologies， artificial intelligence and other methods to deepen the understanding of the pathogenesis of IBS and the mechanisms of TCM formulas， so as to promote the standardization and internationalization of TCM in the diagnosis and treatment of IBS.

Objective To investigate the regulatory mechanism of transforming growth factor-β1 (TGF-β1) in different types of mitral valvular disease (MVD) with atrial fibrillation (AF). Methods From August 2011 to August 2012, patients with moderate to severe MVD accompanied by AF who required mitral valve replacement at the Department of Cardiovascular Surgery, West China Hospital, Sichuan University, were included. Based on echocardiographic results, patients were divided into two groups: a mitral regurgitation (MR) with AF (MR-AF) group and a mitral stenosis (MS) with AF (MS-AF) group. Left atrial tissue samples were collected during surgery. Techniques such as enzyme-linked immunosorbent assay, real-time fluorescence quantitative polymerase chain reaction, immunohistochemistry, and Western blotting were used to detect key molecules in the TGF-β1/JNK pathway. Results Sixteen patients were enrolled. There were 8 patients in the MR-AF group, including 5 males and 3 females, with an average age of (41.38±11.19) years; and 8 patients in the MS-AF group, including 6 males and 2 females, with an average age of (43.12±5.30) years. The left atrial volume load was higher in MR-AF patients, while the left atrial pressure load was higher in MS-AF patients. In MS-AF patients, the relative expression levels of MAPK9, JUN, CASP3, BAX, and BCL2 mRNA in left atrial tissues were significantly upregulated. The serum TGF-β1 protein level and the relative expression levels of p-JNK, p-c-Jun, and Caspase-3 proteins in the left atrial tissues of the MR-AF group were higher. Myocardial cell damage was more severe in the MS-AF group, and the protein expression level of Bcl-2 was higher. Conclusion Different MVD have distinct hemodynamic characteristics. The myocardium of the left atrium in MR-AF patients is more prone to apoptosis, possibly through the activation of the TGF-β1/JNK signaling pathway.

This paper outlines the development of artificial intelligence （AI） and its applications in traditional Chinese medicine （TCM） research， and elucidates the roles and advantages of large language models， knowledge graphs， and natural language processing in advancing syndrome identification， prescription generation， and mechanism exploration. Using spleen-stomach diseases as an example， it demonstrates the empowering effects of AI in classical literature mining， precise clinical syndrome differentiation， efficacy and safety prediction， and intelligent education， highlighting an upgraded research paradigm that evolves from data-driven and knowledge-driven approaches to intelligence-driven models. To address challenges related to privacy protection and regulatory compliance in cross-institutional data collaboration， a "trusted federated evidence-based analysis platform for TCM spleen-stomach diseases" is proposed， integrating blockchain-based smart contracts， federated learning， and secure multi-party computation. The deep integration of AI with privacy-preserving computing is reshaping research and clinical practice in TCM spleen-stomach diseases， providing feasible pathways and a technical framework for building a high-quality， trustworthy TCM big-data ecosystem and achieving precision syndrome differentiation.

ObjectiveTo explore the mechanism by which Qiangjing tablets （QJT） alleviate the spermatogenic function damage caused by varicocele （VC） based on the Kelch-like ECH-associated protein 1 （Keap1）/nuclear factor erythroid 2-related factor 2 （Nrf2） signaling pathway-mediated oxidative stress. MethodsTen Sprague-Dawley （SD） rats were randomly assigned into a control group and a model group. Pathological examination confirmed the stability of the model. Thirty-six SD rats were randomized into control， model， low-dose （0.23 g·kg^-1） QJT， medium-dose （0.46 g·kg^-1） QJT， high-dose （0.92 g·kg^-1） QJT， and mazhilin （61.7 mg·kg^-1） groups， with 6 rats in each group. A rat model of experimental left varicocele （ELV） was established by partially ligating the left renal vein to simulate the human nutcracker syndrome. The rats were administrated with corresponding agents once a day for 28 consecutive days. The in vitro testicular culture model of rats was established through the Transwell chamber method and intervened with QJT-containing sera （2.3， 4.6， and 9.2 g·kg^-1）. Microscopic observation was carried out for the morphology of the left kidney. A micrometer was used to measure the diameter of the left spermatic vein （LSV）. The body weights of rats were recorded weekly， and the epididymis and testis weights were measured. The pathological changes of the testicular tissue was observed via hematoxylin-eosin （HE） staining. The levels of testosterone （T） in the cell culture supernatant and reactive oxygen species （ROS） in the rat testicular tissue were measured by enzyme-linked immunosorbent assay （ELISA）. Flow cytometry was employed to determine the ROS content. Immunohistochemical staining was conducted to analyze Keap1， Nrf2， 3β-hydroxysteroid dehydrogenase （3β-Hsd）， GATA-binding protein-4 （Gata-4）， and proto-oncogene receptor tyrosine kinase （C-kit）. The ultrastructure of the tissue was observed by transmission electron microscopy （TEM）. Cell apoptosis was detected by terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling （TUNEL） staining. The expression of Keap1， Nrf2， glutathione S-transferase α2 （Gsta2）， glutathione S-transferase μ1 （Gstm1）， heme oxygenase-1 （HO-1）， quinone oxidoreductase 1 （Nqo1）， and thioredoxin reductase 1 （Txnrd1） was quantified by Real-time quantitative polymerase chain reaction（Real-time PCR） and Western blot. ResultsCompared with the control group， the ROS content and the percentage of apoptotic cells in the model group were significantly increased （P<0.01）， the T concentration was significantly decreased （P<0.01）， the mRNA and protein expressions of Keap1 were significantly increased （P<0.01）， and the mRNA and protein expressions of Nrf2， Gsta2， Gstm1， HO-1， Nqo1 and Txnrd1 were significantly decreased （P<0.05）. Compared with the model group， the ROS content and the percentage of apoptotic cells in each dose group of the Qiangjing Tablets were significantly reduced （P<0.05）， and the mRNA and protein expressions of Keap1 were significantly decreased （P<0.05）， while the mRNA and protein expressions of Nrf2， Gsta2， Gstm1， HO-1， Nqo1 and Txnrd1 were significantly increased （P<0.05）. ConclusionQJT improves sperm motility in the rat model of VC by modulating the Keap1/Nrf2 signaling pathway and reducing oxidative stress injury.

Objective Investigate the prevalence and epidemiological characteristics of flatfoot among a sample of adolescents(grade 3,5 and 7)in the Northeastern Chongqing,analyze the influencing factors,to provide a scientific basis for selecting intervention strategies.Methods Utilizing plantar optical observation mirrors and questionnaires,a flatfoot screening was conducted among grade 3,5 and 7 school-aged adolescents from 10 urban and rural schools in Wanzhou District,Chongqing.Relevant parameters were recorded,and uni-variate logistic regression analysis was performed considering gender,genetics,BMI,exercise duration,foot-wear,history of ankle trauma,awareness of risks,medical consultation history,and knowledge of preventive measures for flatfoot prevalence.Variables with statistically significant differences in the univariate logistic a-nalysis were included in the multivariate logistic regression analysis.Results In a sample of 5 058 school-age adolescents,2 163 were diagnosed with flatfoot,yielding a prevalence rate of 42.76%(2 163/5 058).Urban and rural areas difference:urban areas had a rate of 43.70%(1 444/3 304),while rural areas had a rate of 40.99%(719/1 754),no statistically significant difference was found between the two(χ2=3.334,P=0.068).Gender difference:males had a rate of 45.56%(1 212/2 660),and females had a rate of 39.66%(951/2 398),the prev-alence rate was higher in males than in females,with a statistically significant difference(χ2=17.730,P<0.001).Grade difference:the prevalence rate in grade 3 was 49.45%(822/1 662),in grade 5 was 42.78%(727/1 699),and in grade 7 was 36.18%(614/1 697),there was a statistically significant among different grades(χ2=60.473,P<0.001),while the prevalence rate in grade 3 was significantly higher than that in grade 5 and 7,and it showed a decreasing trend with the increase of the students'grade level(χ2 trend=24.223,P<0.001).Genetic differences:the proportion of individuals with a positive genetic predisposition to flat feet was 15.53%(336/2 163),the influence of genetics on the occurrence of flat feet was statistically significant(χ2=70.232,P<0.001);furthermore,there was a higher genetic tendency towards severe flatfoot,with statistically significant difference(χ2trend=44.976,P<0.001).BMI difference:comparison of flatfoot severity across differ-ent BMI strata showed a significant difference(χ2trend=21.118,P=0.002),indicating that varying BMI levels affect the prevalence of flatfoot.Multivariate logistic regression analysis showed that gender,genetics,and BMI(18.5-<25.0 kg/m2)were the influencing factors of flatfoot among adolescents in Northeastern Chongqing(P<0.05).Conclusion The incidence of flatfoot among school-age adolescents decreases with in-creasing grade,with lower rates among girls than boys,and there is a genetic predisposition.Most flatfoot are mild,and BMI is a high-risk factor.Early intervention should be implemented for flatfoot in adolescents.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Hepatocellular carcinoma(HCC),which is essentially primary liver cancer,is closely related to CD8+T cell immune infiltration and immune suppression.We constructed a CD8+T cells related risk score model to pre-dict the prognosis of HCC patients and provided therapeutic guidance based on the risk score.Using integrated bulk RNA sequencing(RNA-seq)and single-cell RNA sequencing(scRNA-seq)datasets,we identified stable CD8+T cell signatures.Based on these signatures,a 3-gene risk score model,comprised of KLRB1,RGS2,and TN-FRSF1B was constructed.The risk score model was well validated through an independent external validation co-hort.We divided patients into high-risk and low-risk groups according to the risk score and compared the differ-ences in immune microenvironment between these two groups.Compared with low-risk patients,high-risk patients have higher M2-type macrophage content(P＜0.0001)and lower CD8+T cells infiltration(P＜0.0001).High-risk patients predict worse response to immunotherapy treatment than low-risk patients(P＜0.01).Drug sensitivity a-nalysis shows that PI3K-β inhibitor AZD6482 and TGFβRII inhibitor SB505124 may be suitable therapies for high-risk patients,while the IGF-1R inhibitor BMS-754807 or the novel pyrimidine-based anti-tumor metabolic drug Gemcitabine could be potential therapeutic choices for low-risk patients.Moreover,expression of these 3-gene mod-el was verified by immunohistochemistry.In summary,the establishment and validation of a CD8+T cell-derived risk model can more accurately predict the prognosis of HCC patients and guide the construction of personalized treatment plans.

Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.

The rising prevalence of allergic diseases imposes a significant burden on healthcare resources and socio-economic systems. Allergen testing plays a critical role in the prevention, diagnosis, and treatment of allergic diseases. However, its application in clinical practice still faces numerous challenges. This article reviews the current status of allergen testing in clinical settings and discusses the challenges in managing allergic diseases. Additionally, it provides recommendations for improving medical education on allergen testing and promoting standardized clinical management of allergic diseases.