The holistic view is the key in the study of traditional Chinese medicine(TCM). The component structure theory is based on the holistic view to investigate the correlation between material basis and efficiency, which enriches the holistic "component-effect" research of TCM. Gintonin is a newly isolated non-saponin component of ginseng. Compared to ginsenosides, gintonin has many different pharmacological activities, and it provides new knowledge for the holistic research of ginseng. Thus, taking the discovery of gintonin from ginseng as an example, this paper explored the linkage between ginsenosides and gintonin from the perspective of "component-effect" correlations and systematically sorted out the similarities and differences between them in terms of structural characteristics, modes of action, and pharmacological activities. Starting from the collaborative interaction of TCM compounds, the study discussed the application and value of the holistic view in TCM "component-effect" research in the light of the component structure theory to provide new thoughts for the development of modern TCM research.
Panax/chemistry* ; Drugs, Chinese Herbal/pharmacology* ; Medicine, Chinese Traditional ; Humans ; Ginsenosides/pharmacology* ; Animals

Quality control is a key link in the modernization process of traditional Chinese medicine(TCM). Studies have shown that the effects of active components in TCM depend on not only their chemical composition but also their suitable physical forms and states. The physical phase structures, such as micelles, vesicles, gels, and nanoparticles, can improve the solubility, delivery efficiency, and targeting precision of active components. These structures significantly enhance the pharmacological activity while reducing the toxicity and side effects, demonstrating functional activity surpassing that of active components and highlighting the key effects of "structures" on "functions" of active components. Taking the physical phase structure as a breakthrough point, this paper outlines the common types of TCM physical phase structures. Furthermore, this paper explores how to realize the quality upgrading of TCM through the precise regulation of physical phase structures based on the current applications and potential of TCM physical phase structures in processing to increase the efficacy and reduce the toxicity, compounding and decocting processes, drug delivery systems, and quality control, aiming to provide novel insights for the future quality control of TCM.
Quality Control ; Drugs, Chinese Herbal/standards* ; Medicine, Chinese Traditional/standards* ; Humans ; Drug Delivery Systems

OBJECTIVE: Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects. METHODS: We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies. RESULTS: We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011-2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four pre- and perfluoroalkyl substances (PFAS) and gout risk (2007-2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity. CONCLUSION GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
Humans ; Environmental Exposure/analysis* ; Linear Models ; Nutrition Surveys ; Environmental Pollutants ; Body Mass Index

As a type of endogenous small non-coding RNA， microRNA （miRNA） can regulate gene expression and thereby intervene against the development and progression of cardiovascular diseases， neurodegenerative diseases， metabolic diseases， and autoimmune diseases. The pathogenesis of cholestasis is complex and is mainly associated with the metabolism and transport of bile acids， oxidative stress， inflammatory response， and intestinal flora. Currently， ursodeoxycholic acid is the preferred drug for the clinical treatment of cholestasis， but it may cause adverse reactions and exhibit poor efficacy in some patients. Studies have shown that miRNA can intervene in the disease process of cholestasis through multiple mechanisms such as regulating bile acid metabolism and transport， alleviating oxidative stress， inhibiting inflammatory response， improving cholangiocyte proliferation， and regulating intestinal flora. It can be used as a new biomarker and action target for cholestasis， with high research potential and value. Therefore， this article summarizes the role and mechanisms of miRNA in regulating cholestasis in recent years， in order to provide a reference for further research on the prevention and treatment of cholestasis by targeting miRNA.

Objective To study the therapeutic mechanism of Tuihuang Mixture against cholestasis.Methods Forty-eight Wistar rats were randomized equally into blank group,model group,ursodeoxycholic acid group and Tuihuang Mixture group.Except for those in the blank group,all the rats were given α-naphthylisothiocyanate(ANIT)to establish rat models of cholestasis,followed by treatments with indicated drugs or distilled water.Serum levels of ALT,AST,ALP,γ-GT,TBA and TBIL of the rats were determined,and hepatic expressions IL-1β,IL-18,FXR,NLRP3,ASC,Caspase-1 and GSDMD were detected using q-PCR,ELISA or Western blotting.Histopathological changes of the liver tissues were observed using HE staining.Results The rat models of cholestasis had significantly increased serum levels of ALT,AST,ALP,γ-GT,TBA and TBIL with increased mRNA and protein expressions of IL-1β and IL-18,decreased protein and mRNA expressions of FXR,and increased protein expressions of NLRP3 and Caspase-1 and mRNA expressions of NLRP3,ASC,Caspase-1 and GSDMD in the liver tissue,showing also irregular arrangement of liver cells,proliferation of bile duct epithelial cells and inflammatory cells infiltration.Treatment of the rat models with Tuihuang Mixture significantly decreased serum levels of ALT,AST,ALP,γ-GT,TBA and TBIL,lowered IL-1β and IL-18 and increased FXR protein and mRNA expressions,and reduced NLRP3,ASC,Caspase-1 and GSDMD proteins and NLRP3,ASC and Caspase-1 mRNA expressions in the liver tissue.Tuihuang Mixture also significantly alleviated hepatocyte injury,bile duct epithelial cell proliferation and inflammatory cell infiltration in the liver of the rat models.Conclusion Tuihuang Mixture can effectively improve cholestasis in rats possibly by inhibiting NLRP3 inflammatosome-mediated pyroptosis via regulating FXR.

Objective:To analyze the prognostic factors of patients with liver cirrhosis and portal vein thrombosis (PVT), and to construct a prognostic prediction model based on machine learning methods.Methods:The clinical data of 388 patients with liver cirrhosis and PVT admitted to the Fifth Medical Center of PLA General Hospital from January 2022 to April 2024 were retrospectively collected and analyzed, including 243 males and 145 females, aged (56.9±10.9) years. A total of 388 patients were randomly divided into the training set ( n=310) and the testing set ( n=78) in a 4∶1 ratio. The Boruta algorithm was used to screen the key features in the training set, and then four machine learning algorithms, including random forest, support vector machine, generalized linear model and Bayesian, were used to establish a survival prediction model. Model performance was evaluated by the receiver operating characteristic (ROC) curves of the test set and the training set. The patients were followed up for 1 year for survival. Sort the importance of features based on the SHAP value. Results:There were 250 patients (80.6%) who survived and 60 (19.4%) who died. The model for end-stage liver disease score, total bilirubin, serum creatinine, prothrombin time, international normalized ratio, D-dimer, white blood cell count, severe ascites ratio, and Child-Pugh grade C ratio of liver function in the death group were higher than those in the survival group, and the red blood cell count and hematocrit were lower than those in the survival group, and the differences were statistically significant (all P<0.05). The areas under the ROC curve for predicting survival by random forest, support vector machine, generalized linear model and Bayesian model were 0.92, 0.78, 0.81 and 0.71 in the training set, and the area under the ROC curve in the testing set were 0.81, 0.72, 0.67 and 0.68, respectively. Random forest had the best prediction performance, with an accuracy of 81.7%, a sensitivity of 84.6%, and a specificity of 76.9% in the testing set. In the analysis of the importance of characteristic parameters of the random forest model, total bilirubin, red blood cells, hematocrit, serum creatinine, ascites classification, etc. had a relatively high contribution to the model. Conclusion:In the survival prediction model of patients with liver cirrhosis and PVT based on machine learning algorithm, the random forest model had high prediction performance, and total bilirubin may be the most important factor affecting the survival prognosis of patients.

Cervical spinal cord injury without fracture-dislocation (CSCIWFD) is referred to as a special type of cervical spinal cord injury characterized by traumatic spinal cord dysfunction and no significant bony structural abnormalities on imagines. Duo to the high risk of missed diagnosis during the initial consultation, CSCIWFD may lead to progressive neurological deterioration or even complete paralysis, severely impacting patients′ prognosis. Currently, there are no established consensuses over the diagnosis and treatment of CSCIWFD, such as the lack of evidence-based standards for indications of non-surgical treatment and risk of secondary neurological injury, as well as debates over the optimal timing for surgical intervention and indications for different surgical approaches. To address these issues, the Spine Trauma Group of the Orthopedic Branch of the Chinese Medical Doctor Association organized experts in the relevant fields to formulate Diagnosis and treatment guideline for acute cervical spinal cord injury without fracture- dislocation in adults ( version 2025) . Based on evidence-based medicine and the principles of scientific rigor and clinical applicability, the guidelines proposed 11 recommendations covering terminology, diagnosis, evaluation treatment, and rehabilitation, etc., aiming to standardize the management of CSCIWFD.

Galectin-9 (Gal-9), a member of the β-galactoside-binding lectin family, is widely expressed in various tissues and cells. It can specifically bind to multiple glycoprotein receptors, including the receptors of Tim-3, CD44, 4-1BB/CD137, and Dectin-1, thereby regulating the activity of immune cells and participating in crucial physiological and pathological processes such as immune regulation and tumor development. Given its role in immunomodulation, Gal-9 is considered a potential target for immunotherapy, showing promising prospects in the treatment of various diseases, including autoimmune disorders, transplantation rejection, pregnancy complications, inflammation, infection, and cancer. This review summarizes the biological effects mediated by Gal-9 upon binding to its receptors, which may help to explore the potential application value of Gal-9 in clinical diagnosis and therapy.

Objective To summarize the perioperative nursing experience for patients undergoing high-risk complex percutaneous coronary intervention(PCI)with the support of the percutaneous transvalvular left-ventricular assist system(SynFlow 3.0),and to explore the role of nursing interventions in improving procedural success and promoting patient recovery.Methods A retrospective analysis was conducted on the clinical data of 26 patients who underwent SynFlow 3.0-assisted high-risk complex PCI in Zhongshan Hospital,Fudan University between Aug 2022 and Jul 2024.Stage-specific comprehensive nursing interventions were implemented throughout the perioperative period:Preoperatively,personalized nutritional support and cardiac function optimization were provided for patients with nutritional risk(NRS≥3),hypoalbuminemia(Alb<30 g/L),or an early warning score≥4.Intraoperatively,the SynFlow 3.0 operational procedures were standardized,with reinforcement of aseptic techniques and hemodynamic monitoring.Postoperatively,patients were transferred to the ICU for continuous monitoring of circulatory parameters(blood pressure,central venous pressure,urine output,etc.)and hemolysis-related indicators,alongside active prevention of vascular complications,vagal reflex,and thrombotic events.Results The procedural success rate was 100%in all 26 patients,with no severe complications occurring.Nursing interventions effectively maintained an intraoperative mean arterial pressure≥60 mmHg.Postoperative circulatory parameters remained stable(systolic blood pressure 90-130 mmHg,urine output>50 mL/h),and no thrombotic or hemolytic events were reported.The left ventricular ejection fraction significantly increased from 32.44%±4.46%preoperatively to 38.55%±5.42%at 30 days postoperatively,and the difference was statistically significant(t=16.065,P<0.001).Conclusion The implementation of a full-process comprehensive nursing strategy for patients undergoing SynFlow 3.0-assisted high-risk complex PCI effectively stabilizes perioperative hemodynamics,reduces the risk of complications,ensures procedural safety,and promotes cardiac function recovery.

In recent decades,the incidence of human papillomavirus(HPV)-associated oropharyngeal squamous cell carcinoma(OPSCC)has shown a marked increase.Significant changes have also occurred in the OPSCC diagnosis and treatment paradigm.Deter-mining HPV status prior to treatment is now essential,and radiotherapy/chemotherapy,immunotherapy,and minimally invasive surgical techniques have progressively emerged as key modalities for managing OPSCC.However,alongside these paradigm shifts,a comprehen-sive technical consensus guiding the entire diagnostic and therapeutic process for OPSCC patients is currently lacking.Given China's large population base and the rising incidence of OPSCC,an expert panel convened to develop a clinical technical consensus on OPSCC diagno-sis and management tailored to China's specific context.This consensus aims to further enhance and standardize understanding of OPSCC management techniques among relevant healthcare professionals.