The present study employed UPLC-MS/MS to analyze and identify compounds in the raw powder of Tongluo Shenggu capsules. An HPLC method for the determination of vitexin content was established. The analysis of this drug was performed on a 30 ℃ thermostatic Acquity UPLC® BEH C18 (2.1 mm×100 mm,1.7 μm) column, with the mobile phase comprising 0.2% formic acid-methanol flowing at 0.3 mL /min in a gradient elution manner. Mass spectrometry was detected by ESI sources in both positive and negative ion modes for qualitative identification of chemical constituents. 12 flavonoid and 3 stilbenes compounds in the raw powder of Tongluo Shenggu capsules were successfully identified. Additionally, an HPLC method for the determination of vitexin content was established using a XBridge C18 column (4.6 mm × 250 mm, 5 µm) with a mobile phase of 0.05% glacial acetic acid in methanol for gradient elution, at a column temperature of 30 °C, a flow rate of 1.0 mL/min, and an injection volume of 20 μL. The method demonstrated good linearity in the concentration range of 10 µg/mL to 40 µg/mL (R=1.000) with an average recovery rate of 96.7%. The establishment of these methods provides a scientific basis for the quality control and development of the raw powder of Tongluo Shenggu capsules.

Gastric cancer （GC） has an insidious onset and is mostly diagnosed in the middle and late stages after clinical detection. It is one of the malignant tumors with high incidence and mortality rates in the world. At present， the treatment plans are optimized mainly in terms of surgery， radiotherapy， and intervention， while the endpoints of clinical trials， such as patients' overall survival， progression-free survival， and disease-free survival， are still unsatisfactory. Therefore， effectively delaying the dynamic inflammation-cancer transformation has become an urgent bottleneck in the prevention and treatment of GC. In 1920s， Professor Otto Warburg discovered the phenomenon that tumor cells can accelerate glycolysis. Since then， the abnormal metabolic network inside tumor cells has gradually entered into researchers' view， and the hot academic research topic of metabolic reprogramming has been proposed. Tumor cells can meet their own energy consumption and adapt to external changes by adjusting their metabolic pathways to achieve rapid proliferation. In recent years， traditional Chinese medicine （TCM） is resolutely pursuing innovation in inheritance and the continuous refinement of research has led to the precision-oriented transition of TCM theories. Therefore， linking TCM with the treatment of tumors and precancerous diseases has certain research connotations. The searching and review of the publications in this field revealed that the number of publications in tumor-related metabolism increased dramatically， while there were only a few studies using TCM as a therapeutic solution. The research group has long been committed to the study of precancerous lesions of gastric cancer （PLGC） in Chinese and Western medicine. This article explained the dynamic process of inflammation-cancer transformation from the perspective of spleen deficiency-Qi stagnation-collateral stasis. The molecules of hypoxia-inducible factor （HIF）-1α， cancer-Myc （c-Myc）， apolipoprotein E （APOE） and pyruvate kinase M2 （PKM2） were selected to reflect the biological connotation of inflammation-cancer transformation. The current achievements of TCM in regulating the metabolic reprogramming to intervene in inflammation-cancer transformation were summarized， with a view to providing more information for TCM to intervene in the inflammation-cancer transformation of gastric mucosa.

Gastric cancer （GC） has an insidious onset and is mostly diagnosed in the middle and late stages after clinical detection. It is one of the malignant tumors with high incidence and mortality rates in the world. At present， the treatment plans are optimized mainly in terms of surgery， radiotherapy， and intervention， while the endpoints of clinical trials， such as patients' overall survival， progression-free survival， and disease-free survival， are still unsatisfactory. Therefore， effectively delaying the dynamic inflammation-cancer transformation has become an urgent bottleneck in the prevention and treatment of GC. In 1920s， Professor Otto Warburg discovered the phenomenon that tumor cells can accelerate glycolysis. Since then， the abnormal metabolic network inside tumor cells has gradually entered into researchers' view， and the hot academic research topic of metabolic reprogramming has been proposed. Tumor cells can meet their own energy consumption and adapt to external changes by adjusting their metabolic pathways to achieve rapid proliferation. In recent years， traditional Chinese medicine （TCM） is resolutely pursuing innovation in inheritance and the continuous refinement of research has led to the precision-oriented transition of TCM theories. Therefore， linking TCM with the treatment of tumors and precancerous diseases has certain research connotations. The searching and review of the publications in this field revealed that the number of publications in tumor-related metabolism increased dramatically， while there were only a few studies using TCM as a therapeutic solution. The research group has long been committed to the study of precancerous lesions of gastric cancer （PLGC） in Chinese and Western medicine. This article explained the dynamic process of inflammation-cancer transformation from the perspective of spleen deficiency-Qi stagnation-collateral stasis. The molecules of hypoxia-inducible factor （HIF）-1α， cancer-Myc （c-Myc）， apolipoprotein E （APOE） and pyruvate kinase M2 （PKM2） were selected to reflect the biological connotation of inflammation-cancer transformation. The current achievements of TCM in regulating the metabolic reprogramming to intervene in inflammation-cancer transformation were summarized， with a view to providing more information for TCM to intervene in the inflammation-cancer transformation of gastric mucosa.

Myocardial fibrosis is a serious cause of heart failure and even sudden cardiac death. However, the mechanisms underlying myocardial ischemia-induced cardiac fibrosis remain unclear. Here, we identified that the expression of sterile alpha and TIR motif containing 1 (SARM1), was increased significantly in the ischemic cardiomyopathy patients, dilated cardiomyopathy patients (GSE116250) and fibrotic heart tissues of mice. Additionally, inhibition or knockdown of SARM1 can improve myocardial fibrosis and cardiac function of myocardial infarction (MI) mice. Moreover, SARM1 fibroblasts-specific knock-in mice had increased deposition of extracellular matrix and impaired cardiac function. Mechanically, elevated expression of SARM1 promotes the deposition of extracellular matrix by directly modulating P4HA1. Notably, by using the Click-iT reaction, we identified that the increased expression of ZDHHC17 promotes the palmitoylation levels of SARM1, thereby accelerating the fibrosis process. Based on the fibrosis-promoting effect of SARM1, we screened several drugs with anti-myocardial fibrosis activity. In conclusion, we have unveiled that palmitoylated SARM1 targeting P4HA1 promotes collagen deposition and myocardial fibrosis. Inhibition of SARM1 is a potential strategy for the treatment of myocardial fibrosis. The sites where SARM1 interacts with P4HA1 and the palmitoylation modification sites of SARM1 may be the active targets for anti-fibrosis drugs.

Traditional Chinese medicine (TCM) serves as a treasure trove of ancient knowledge, holding a crucial position in the medical field. However, the exploration of TCM's extensive information has been hindered by challenges related to data standardization, completeness, and accuracy, primarily due to the decentralized distribution of TCM resources. To address these issues, we developed a platform for TCM knowledge discovery (TCMKD, https://cbcb.cdutcm.edu.cn/TCMKD/). Seven types of data, including syndromes, formulas, Chinese patent drugs (CPDs), Chinese medicinal materials (CMMs), ingredients, targets, and diseases, were manually proofread and consolidated within TCMKD. To strengthen the integration of TCM with modern medicine, TCMKD employs analytical methods such as TCM data mining, enrichment analysis, and network localization and separation. These tools help elucidate the molecular-level commonalities between TCM and contemporary scientific insights. In addition to its analytical capabilities, a quick question and answer (Q&A) system is also embedded within TCMKD to query the database efficiently, thereby improving the interactivity of the platform. The platform also provides a TCM text annotation tool, offering a simple and efficient method for TCM text mining. Overall, TCMKD not only has the potential to become a pivotal repository for TCM, delving into the pharmacological foundations of TCM treatments, but its flexible embedded tools and algorithms can also be applied to the study of other traditional medical systems, extending beyond just TCM.

Objective:To design and evaluate a cell membrane vaccine strategy based on dendritic cell membrane microbubbles(DCM@MBs),and to explore its potential application in tumor immunotherapy,especially the immune-specific killing of tumor cells through the activation of T cells.Methods:At first,tumor cell membrane proteins were extracted and dendritic cells(DCs)were acti-vated to confirm that tumor antigens could effectively stimulate the maturation of immature DCs.Mature DC membranes were then mixed with lipids to prepare DCM@MBs,which were characterized for morphology,size,and protein composition by confocal laser scanning microscopy and sodium dodecyl sulfate-polyacrylamide gel electrophoresis.Finally,in vitro co-culture experiments were con-ducted to assess the effect of DCM@MBs on the activation of T cells and their ability for specific killing of tumor cells.Results:In the in vitro DC activation experiment,after stimulation with tumor cell membrane proteins,the 25 μg/mL group had a significant increase in the expression level of MHC class Ⅱ molecule(25.167%±1.203%)on the surface of immature DCs compared with the control group(P<0.001),and DCM@MBs presented with microbubbles encapsulated by red cell membranes,with uniform dispersion and a size of 1-5 μm.In the in vitro co-culture experiment,the amount of breast cancer cells(9.893±0.341)%.Conclusion:The DCM@MBs strategy proposed in this study shows significant potential in tu-mor immunotherapy and can effectively activate T cells and specifically kill and eliminate tumor cells,which provides new ideas for tu-mor immunotherapy.

Objective To initially explore the possibility of applying the fluorescence micro-optical sectioning tomography(fMOST)high-resolution 3D reconstruction system to the morphological study of the intestinal nervous system and to preliminarily establish a method for studying the morphology of the intestinal nervous system using this system.Methods fMOST high-resolution 3D reconstruction system was used to study the intestinal nervous system of C57BL/6 mice in detail.Based on this method,a new morphological method of the visceral nervous system of small animal models was explored at the single-cell level.Results Compared with the large intestine,the small intestine lacked the typical myenteric plexus(Auerbach),deep mucosal plexus(Henley),and submucosal superficial plexus(Meissner).Conclusion The result of this paper provide a clearer and systematic display of the anatomical structure of the enteric nervous system in C57BL/6 mice,and further clarify the similarities and differences between the enteric nervous system of mice and human,and provide a theoretical basis for its rational application in the study of digestive system diseases.The morphological study of fMOST high-resolution 3D reconstruction system is not limited to the central nervous system,but can be extended to the morphological study of multiple visceral nervous systems.

Traditional Chinese medicine(TCM)serves as a treasure trove of ancient knowledge,holding a crucial position in the medical field.However,the exploration of TCM's extensive information has been hindered by challenges related to data standardization,completeness,and accuracy,primarily due to the decen-tralized distribution of TCM resources.To address these issues,we developed a platform for TCM knowledge discovery(TCMKD,https://cbcb.cdutcm.edu.cn/TCMKD/).Seven types of data,including syndromes,formulas,Chinese patent drugs(CPDs),Chinese medicinal materials(CMMs),ingredients,targets,and diseases,were manually proofread and consolidated within TCMKD.To strengthen the integration of TCM with modern medicine,TCMKD employs analytical methods such as TCM data mining,enrichment analysis,and network localization and separation.These tools help elucidate the molecular-level commonalities between TCM and contemporary scientific insights.In addition to its analytical capabilities,a quick question and answer(Q&A)system is also embedded within TCMKD to query the database efficiently,thereby improving the interactivity of the platform.The platform also provides a TCM text annotation tool,offering a simple and efficient method for TCM text mining.Overall,TCMKD not only has the potential to become a pivotal repository for TCM,delving into the pharmaco-logical foundations of TCM treatments,but its flexible embedded tools and algorithms can also be applied to the study of other traditional medical systems,extending beyond just TCM.

Objectives:To compare the intraoperative neurophysiological monitoring(IONM)results during 3-column osteotomy surgery in severe congenital scoliosis(CS)patients with or without intraspinal anomalies,and to explore the effect of intraspinal anomaly on the incidence of IONM alarm events and postoperative out-comes in CS patients.Methods:Clinical data of patients with severe CS who underwent 3-column osteotomy surgery in our hospital from September 2020 to May 2023 were retrospectively analyzed.The patients were divided into two groups according to whether combined with intraspinal anomalies.The basic information,the latency and amplitude of somatosensory evoked potentials(SSEPs)of both lower extremities,amplitude of tran-scranial electric motor evoked potentials(TCeMEPs),as well as the sensitivity and specificity of multimodal IONM were compared between the two groups.The incidence of IONM alarm events and postoperative out-comes were analyzed.Results:A total of 37 patients who met the criteria were included in the study,of which 14 patients combined with intraspinal anomalies,including 8 cases of syringomyelia,2 case of tethered cord,1 case of diastematomyelia,1 case of diastematomyelia combined with tethered cord,and 2 cases of sy-ringomyelia combined with tethered cord.The latency of SSEPs-P3 7 in the concave side lower extremity of CS patients with intraspinal anomalies was significantly longer than that of CS patients without intraspinal anomalies(40.9±3.3ms vs 38.0±3.7ms,P=0.03).In addition,the sensitivity and specificity of multimodal IONM were comparable between the two groups.There was no significant difference in the incidence of abnormal SSEPs,the incidence of IONM alarm events and the incidence of postoperative neurological symptoms between the two groups(P＞0.05).Conclusions:Multimodal IONM provides excellent monitoring effects in severe CS paitents undergoing 3-column osteotomy surgery.The latency of SSEPs-P37 in the concave side lower ex-tremity of CS patients with intraspinal anomalies was significantly longer than that of CS patients without in-traspinal anomalies.Intraspinal anomalies don't increase the incidence of intraoperative IONM alarm events or the incidence of postoperative neurological complications.

AIM:To construct a network calcula-tor based on machine learning(ML)models to pre-dict the risk of delayed awakening from anaesthesia in breast cancer(BC)patients.METHODS:A total of 435 BC patients surgically treated at our hospital from January 2023 to June 2024 were selected.The Boruta algorithm was used to screen for important characteristic variables for the risk of delayed awak-ening from anaesthesia.All patients were randomly assigned to a training set(n=261)and a test set(n=174)based on a 3:2 ratio and nine ML models were constructed and trained.Nine ML models were evaluated on the basis of receiver operating charac-teristic(ROC)curves for a random sample of 10 sub-jects and the clinical utility of the models was as-sessed using decision curve analysis.Combined with SHapley Additive exPlanations(SHAP)bar graphs,summary graphs and force diagrams additional in-terpretation and visualization of the ML model.Con-struction of a network calculator for predicting the risk of delayed awakening from anesthesia in BC pa-tients using the R package.RESULTS:Of the 435 BC patients,25.1%experienced delayed awakening from anesthesia.Boruta algorithm screened seven feature variables.The ROC curve shows that the XG-Boost model has the highest area under the curve(AUC)for 10 random samples among the 9 ML mod-els,and the decision curve shows that the XGBoost model has a significant clinical net benefit.The SHAP bar graph shows the importance of ASA classi-fication,surgery time,anesthesia time,intraopera-tive blood loss,propofol,preoperative anemia,and intraoperative hypothermia,and the SHAP summa-ry graph reflects the distribution of the ranges of in-fluence of the seven important characteristic vari-ables,which are"separated at the ends."The SHAP force diagram visualization XGBoost model predict-ed the risk of delayed awakening from anesthesia for individual patients with a predictive value of 0.998 for patients with delayed awakening from an-esthesia and 0.008 91 for patients without delayed awakening from anesthesia.A web-based calculator(https://xz-nomogram.shinyapps.io/DE_web/)based on an interpretable XGBoost model effective-ly predicts the risk of delayed awakening from anes-thesia in BC patients.CONCLUSION:ASA classifica-tion,surgery time,propofol,intraoperative blood loss,anaesthesia time,preoperative anaemia and intraoperative hypothermia are important charac-teristic variables for the risk of delayed awakening from anaesthesia in BC patients.The network calcu-lator based on the interpretable XGBoost model can accurately and quickly quantify the risk of de-layed awakening from anaesthesia,which can help clinicians to effectively adjust the treatment strate-gy and better improve the prognosis of patients.