Anemarrhenae Rhizoma is bitter, sweet, and cold in nature, and has the effects of clearing heat, dispelling fire, nourishing Yin, and moisturizing dryness. It is associated with the lung, stomach, and kidney meridians, and is mainly distributed in the northwestern and northern regions of China. Modern research has shown that Anemarrhenae Rhizoma contains various chemical active constituents, including steroidal saponins, flavonoids, polysaccharides, lignans, volatile oils, and alkaloids. These constituents exhibit pharmacological effects such as anti-tumor, hypoglycemic, anti-inflammatory, and neuroprotective activities. However, there have been few comprehensive summaries of Anemarrhenae Rhizoma in recent years, which has limited its in-depth research and development. The complexity of traditional Chinese medicine constituents, along with their quality and efficacy, is easily influenced by processing, preparation, and the growing environment and resource distribution. This paper summarizes the resources, chemical constituents, and pharmacological effects of Anemarrhenae Rhizoma, and predicts its quality markers(Q-markers) from several aspects, including the specificity of chemical composition, properties related to preparation and active ingredients, measurability of chemical components, compounding environment, construction of the ″active ingredient-target″ network pathway, and differences in active ingredient content from different origins and parts. These predicted Q-markers may provide a basis for improving the quality evaluation system of Anemarrhenae Rhizoma.
Anemarrhena/chemistry* ; Drugs, Chinese Herbal/pharmacology* ; Rhizome/chemistry* ; Humans ; Animals ; Quality Control

Immune checkpoints include a series of receptor-ligand pairs that play a key role in the proliferation, activation, and immune regulatory responses of immune cells. Although immune checkpoint inhibitors (ICIs), such as programmed death protein 1 (PD-1) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) have achieved good therapeutic effects in clinical practice, some patients still experience ineffective treatment and immune resistance. A large amount of evidence has shown that immune checkpoint proteins are related to cell metabolism during immune regulation. On the one hand, immune checkpoints connect to alter the metabolic reprogramming of tumor cells to compete for nutrients required by immune cells. On the other hand, immune checkpoints regulate the metabolic pathways of immune cells, such as phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin (PI3K/AKT/mTOR) to affect the activation of immune cells. Based on a review of the literature, this article reviews the mechanisms by which PD-1, CTLA-4, T cell immunoreceptor with Ig and ITIM domains (TIGIT), T cell immunoglobulin and mucin domain-containing protein 3 (TIM-3), cluster of differentiation 47 (CD47), and indoleamine 2,3-dioxygenase 1 (IDO1) regulate cell metabolic reprogramming, and looks forward to whether targeting the ligand-receptor pairs of immune checkpoints in a "dual regulation" manner and inhibiting metabolic pathways can effectively solve the problem of tumor immune resistance.
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Humans ; Neoplasms/genetics* ; Metabolic Networks and Pathways/immunology* ; Animals ; Immune Checkpoint Inhibitors/pharmacology*

Accurate prediction of drug-target interactions (DTIs) plays a pivotal role in drug discovery, facilitating optimization of lead compounds, drug repurposing and elucidation of drug side effects. However, traditional DTI prediction methods are often limited by incomplete biological data and insufficient representation of protein features. In this study, we proposed KG-CNNDTI, a novel knowledge graph-enhanced framework for DTI prediction, which integrates heterogeneous biological information to improve model generalizability and predictive performance. The proposed model utilized protein embeddings derived from a biomedical knowledge graph via the Node2Vec algorithm, which were further enriched with contextualized sequence representations obtained from ProteinBERT. For compound representation, multiple molecular fingerprint schemes alongside the Uni-Mol pre-trained model were evaluated. The fused representations served as inputs to both classical machine learning models and a convolutional neural network-based predictor. Experimental evaluations across benchmark datasets demonstrated that KG-CNNDTI achieved superior performance compared to state-of-the-art methods, particularly in terms of Precision, Recall, F1-Score and area under the precision-recall curve (AUPR). Ablation analysis highlighted the substantial contribution of knowledge graph-derived features. Moreover, KG-CNNDTI was employed for virtual screening of natural products against Alzheimer's disease, resulting in 40 candidate compounds. 5 were supported by literature evidence, among which 3 were further validated in vitro assays.
Alzheimer Disease/drug therapy* ; Biological Products/therapeutic use* ; Humans ; Neural Networks, Computer ; Machine Learning ; Drug Discovery/methods* ; Algorithms ; Drug Evaluation, Preclinical/methods*

Objective To explore the relevant factors of new-onset conduction disturbance(NOCD)after transcatheter aortic valve replacement(TAVR),such as anatomical structure,device type,surgical strategies,etc.,discover relevant predictive factors,and establish a predictive model to assess the risk of conduction blockages.Methods From January 2016 to March 2022,clinical data of symptomatic patients with severe aortic valve stenosis or severe regurgitation who underwent TAVR at Xiangya Second Hospital of Central South University were collected through the hospital information system and imaging database.ECG,echocardiography,CTA,surgical materials,etc.,were extracted and analyzed by specialists.SPSS software was used for statistical analysis,and a multi-factor regression prediction model for NOCDwas built.Results A total of 184 patients were included,the occurrence rate of NOCD after TAVR was 31.0%,pure regurgitation patients'NOCD occurrence rate was 63.6%(7/11).The NOCD group had a larger aortic angles[(57.7±10.3)°vs.(52.0±9.0)°,P＜0.001],larger Oversizing[(129±28)%vs.(120±21)%,P=0.018],deeper implantation depth[(7.2±5.1)mm vs.(4.8±4.2)mm,P=0.001],and higher pure regurgitation patients'proportion[12.3%vs.3.1%,P=0.037]than the non-NOCD group.Multifactorial Logistic regression analysis indicated that an aorta angle＞54.5°(OR 3.78,95%CI 1.86-7.63,P＜0.001)or implantation depth＞5.7 mm(OR 3.39,95%CI 1.68-6.85,P＜0.001)are independent risk factors for new onset conduction disturbances after TAVR,and a predictive model was established with aortic angle,implantation depth,and Oversizing ratio as variables.The receiver operating characteristics curve showed area under ROC curve 0.709,95%CI 0.623-0.795,predicting NOCD after TAVR.Conclusions A retrospective analysis carried out at a single center discovered that the aortic angle in the NOCD group was larger than that in the non-NOCD group,the Oversizing ratio was higher,the implantation location was deeper,and there was a higher proportion of patients with pure regurgitation lesions.An aortic angle greater than 54.5°or an implantation depth more than 5.7 mm were identified as independent risk factors for NOCD after TAVR.

Objective To investigate the efficacy of the therapy of soothing liver and strengthening spleen(shortened as Shugan Jianpi therapy)in the treatment of active thyroid-associated ophthalmopathy(TAO)complicated with dry eye,and to provide a reference basis for clinical treatment.Methods A total of 108 patients with active TAO complicated with dry eye of liver depression and qi stagnation type were randomly divided into observation group and control group,54 patients in each group.Both groups were given conventional treatment for intervention of Graves'disease,and additionally the control group was given hormone shock therapy by intravenous injection of Methylprednisolone Sodium Succinate,and the observation group was treated with Chinese medicine prescription for soothing liver and strengthening spleen orally and intravenous injection of Methylprednisolone Sodium Succinate.The treatment period lasted for 12 weeks,and then the patients were followed up till to the 6th month.The changes of clinical activity score(CAS),proptosis,ocular surface disease index(OSDI),corneal fluorescein staining(FL),Schirmer I test(SIT)and tear film break-up time(BUT)in the two groups were observed before and after the treatment.After treatment,the clinical efficacy of the two groups was evaluated.Results(1)After 6 months of treatment,the total effective rate in the observation group was 94.44%(51/54)and that in the control group was 74.07%(40/54),and the intergroup comparison(tested by chi-square test)showed that the efficacy of the observation group was significantly superior to that of the control group(P＜0.05).(2)After treatment,the CAS,OSDI score and proptosis of the patients in the two groups were all lower than those before treatment(P＜0.01),and the reduction in the observation group was significantly superior to that in the control group(P＜0.01).(3)After treatment,the indicators of tear secretion function such as SIT,FL score and BUT of patients in the two groups were improved compared with those before treatment(P＜0.01),and the improvement in the observation group was significantly superior to that in the control group,the differences being all statistically significant(P＜0.01).Conclusion Shugan Jianpi therapy exerts certain clinical efficacy in treating patients with active TAO complicated with dry eye of liver depression and qi stagnation type,which can effectively relieve the proptosis,prolong the tear film break-up time,promote the secretion of tears and the repair of corneal epithelium,improve the visual function,and enhance the quality of life of the patients.

Objective To observe the effects of total saponins of Trillium tschonoskii Maxim(TST)on vascular cognitive impairment(VCI),neurovascular units(NVUs),and neural circuit integrity in rats.Methods Forty-eight male Sprague-Dawley(SD)rats were randomly divided into sham-operated group,model group,TST group(intragastric administration,100 mg/kg),and donepezil group(intragastric administration,0.45 mg/kg),and then subjected to ischemic stroke by 2-VO method(bilateral common carotid artery ligation)or sham surgery.After 28 days of intragastric administration,Mirros water maze test was performed to evaluate the spatial learning and memory abilities of rats in each group.HE and Nissl staining were used to observe the pathological changes of brain tissue in rats.The expression of synuclein(SYN)in rat hippocampus was observed by immunohistochemical staining.Changes in dendritic spines in rat's hippocampal neurons were observed by Golgi staining.Western blotting was used to detect the expression levels of IL-1β,IL-10,vascular endothelial growth factor A(VEGFA),postsynaptic density protein 95(PSD95),and growth associated protein 43(GAP43)in rat's hippocampus in each group.Results In Mirros water maze test,rats in model group showed significant prolonged escape latency(P＜0.05),and a significant reduction in the number of crossing platforms and the percentage of activity time in the target quadrant(P＜0.05)than those in sham-operated group;while rats in TST group and donepezil group showed significant shortened escape latency(P＜0.01),and significant increase of the number of times of crossing platforms and the percentage of activity time in the target quadrant(P＜0.05)than those in model group.Compared of sham-operated group,model group showed a decrease in the expression of SYN and the number of neurons,Nissl bodies,and dendritic spines in the CA1 region of the hippocampus(P＜0.05).Compared with model group,TST group and donepezil group showed an increase in the expression of SYN and the number of neurons,Nissl bodies,and dendritic spines in the CA1 region of the hippocampus(P＜0.05).Western blotting showed a significant increase in the expression of IL-1β and VEGF(P＜0.05),and a decrease in the expression of IL-10,PSD95,and GAP43(P＜0.01)in rat's hippocampus of model group than those in sham-operated group.Compared with model group,TST group and donepezil group showed a significant decrease in the expression of IL-1β(P＜0.05),and an increase in the expression of VEGFA,IL-10,and GAP43(P＜0.05).Conclusions TST could alleviate cognitive impairment through promoting synaptic plasticity and neurovascular unit remodeling in 2-VO model rats,suggesting its significance as a potential drug for apoplexy.

Background::Evidence indicates that low muscle strength is associated with an increased cardiovascular diseases (CVDs) risk. However, the association between muscle strength changes based on repeated measurements and CVD incidence remains unclear.Methods::The study used data from the China Health and Retirement Longitudinal Study in 2011 (Wave 1), 2013 (Wave 2), 2015 (Wave 3), and 2018 (Wave 4). Low muscle strength was defined as handgrip strength <28 kg for men or <18 kg for women, or chair-rising time ≥12 s. Based on changes in muscle strength from Waves 1 to 2, participants were categorized into four groups of Normal-Normal, Low-Normal, Normal-Low, and Low-Low. CVD events, including heart disease and stroke, were recorded using a self-reported questionnaire during Waves 3 and 4 visits. Cox proportional hazards models were used to investigate the association between muscle strength changes and CVD incidence after multivariable adjustments. Hazard ratios (HRs) and 95% confidence intervals (95% CIs) were estimated with the Normal-Normal group as the reference.Results::A total of 1164 CVD cases were identified among 6608 participants. Compared to participants with sustained normal muscle strength, the CVD risks increased progressively across groups of the Low-Normal (HR = 1.20, 95% CI: 1.01-1.43), the Normal-Low (HR = 1.35, 95% CI: 1.14-1.60), and the Low-Low (HR = 1.76, 95% CI: 1.49-2.07). Similar patterns were observed for the significant associations between muscle strength status and the incidence risks of heart disease and stroke. Subgroup analyses showed that the significant associations between CVD and muscle strength changes were consistent across age, sex, and body mass index (BMI) categories.Conclusions::The study found that muscle strength changes were associated with CVD risk. This suggests that continuous tracking of muscle status may be helpful in screening cardiovascular risk.

The assessment of adverse drug events is an important basis for clinical safety evaluation and post-marketing risk control of drugs,and its causality assessment is gaining increasing attention.The existing methods for assessing the causal relationship between drugs and the occurrence of adverse reactions can be broadly classified into three categories:global introspective methods,standardized methods,and probabilistic methods.At present,there is no systematic introduction of the operational details of the various methods in the domestic literature.This paper compares representative causality assessment methods in terms of definition and concept,methodological steps,industry evaluation and advantages and disadvantages,clarifies the basic process of determining the causality of adverse drug reactions,and discusses how to further improve the adverse drug reaction monitoring and evaluation system,with a view to providing a reference for drug development and pharmacovigilance work in China.

Objective To explore the value of artificial intelligence federated learning system based on chest X-ray films for pathogen diagnosis of community-acquired pneumonia(CAP)in children.Methods Totally 900 cases of CAP children from 2 hospitals were retrospectively enrolled,including bacterial,viral and mycoplasma CAP(each n=300),and chest posteroanterior X-ray films were collected.Meanwhile,chest posteroanterior X-ray films of 5856 children from the publicly available dataset GWCMCx were collected,including 4273 CAP images and 1583 healthy chest images.All above 6756 images were divided into training set(n=5359)and validation set(n=1397)at the ratio of 8∶2.Then a pathogen diagnosis model of children CAP was established based on attention mechanism.Binary and ternary diagnostic algorithms were designed,and federated deployment training was performed.The efficacy of this system for pathogen diagnosis of children CAP was analyzed and compared with DenseNet model.Results Based on all data,the accuracy of the obtained artificial intelligence federated learning system model for diagnosing children CAP was 97.00%,with the area under the curve(AUC)of 0.990.Based on hospital data,the AUC of this system using single imaging data and clinical-imaging data for pathogen diagnosis of children CAP was 0.858 and 0.836,respectively,both better than that of DenseNet model(0.740,both P＜0.05).Conclusion The artificial intelligence federated learning system based on chest X-ray films could be used for pathogen diagnosis of children CAP.