As a common pathological state in clinical practice， Chong Mai Wei Bing （冲脉为病） is typically manifested as rebellious qi and a sense of urgency. It often involves various diseases caused by the disorder of qi circulation. From the perspectives of theoretical foundation， pathological characteristics， and clinical differentiation and treatment， this paper elaborates on the characteristics of Chong Mai （冲脉） as the cause of disease， including three main manifestations： upward qi surge， upward yin fire， and upward water-qi. Among these， the upward qi surge is further categorized into four aspects： Chong Qi （冲气） counterflow， counterflow of stomach qi， counterflow of kidney qi， and counterflow of liver qi. Three major treatment methods are proposed： pacifying the Chong Mai and reversing the counterflow， consolidating Chong Mai to subdue fire， and warming Chong Mai to resolve qi and promote water flow. This paper summarizes its practical application in clinical diagnosis and treatment， aiming to deepen the understanding of the functional and pathological mechanisms of Chong Mai， and to provide insights and methods for the traditional Chinese medicine diagnosis and treatment of various diseases.

In recent years, with the continuous development and increasing maturity of interventional techniques, interventional treatment for congenital heart disease (CHD) has been progressively disseminated to county- and city-level hospitals in China. Concurrently, the standardized management of adult CHD (particularly patent foramen ovale) and the lifelong management of complex CHD are gaining increasing clinical attention, while the emergence of new techniques and products continuously advances the discipline. This article aims to review the new progress made in the field of interventional treatment for congenital heart disease in China during 2024. It specifically reviews and analyzes the following key aspects: (1) annual statistics on interventional closure procedures for CHD; (2) recent insights into patent foramen ovale closure; (3) advances in transcatheter pulmonary valve replacement; (4) interventional treatment and lifelong management strategies for complex CHD; (5) new interventional techniques for acquired heart disease; and (6) the application of artificial intelligence in CHD management. Through the synthesis and discussion of these topics, this article seeks to provide a detailed analysis of the current landscape of interventional treatment for CHD in China and project its future development trends.

Metabolic dysfunction-associated fatty liver disease （MAFLD） is a common chronic liver disease with the pathological feature of lipid accumulation in the liver， and it is closely associated with liver metabolic disorders. The latest research has shown that the pathogenesis of MAFLD is associated with the abnormal expression of specific genes， especially the fat mass and obesity-associated （FTO） gene. The abnormal activity of the FTO gene may lead to an imbalance in liver lipid metabolism， which manifests as the increase in fatty acid synthesis and the reduction in fatty acid oxidation， thereby promoting liver fat deposition and inflammatory response. Therefore， regulating the expression or activity of the FTO gene is considered one of the potential strategies for the treatment of MAFLD. At present， drug research targeting the function of the FTO gene has achieved preliminary results， and inhibition of the activity of the FTO gene can help to regulate liver lipid metabolism and alleviate liver inflammatory injury. This article reviews the mechanism of action of the FTO gene in the development and progression of MAFLD， summarizes the advances in drug research on the FTO gene and related metabolic pathways in recent years， and analyzes their application prospect in research and treatment.

Objective To develop the value of machine learning(ML)models based on contrast-transthoracic echocardiography(cTTE)and transesophageal echocardiography(TEE)combined with clinical and laboratory indicators for predicting patent foramen ovale-associated stroke(PFO-AS).Methods Totally 313 patients with PFO diagnosed with cTTE and TEE were retrospectively enrolled.Among them,65 cases were found complicated with ischemic stroke and confirmed as PFO-AS(PFO-AS group),and the rest 248 cases without ischemic stroke were classified as non-PFO-AS group.The patients were divided into training set(n=219,including 48 cases of PFO-AS and 171 cases of non-PFO-AS)and test set(n=94,including 17 cases of PFO-AS and 77 cases of non-PFO-AS)at the ratio of 7∶3.Univariable and multivariable logistic regression(LR)were used to analyze clinical and laboratory indicators as well as cTTE and TEE parameters in training set to screen independent predictive factors of PFO-AS.ML models,including LR,K-nearest neighbor(KNN),support vector machine(SVM),random forest(RF),decision tree(DT),back propagation neural network(BPNN)and gradient boosting machine(GBM)were constructed,and the predictive efficacy of the models for predicting PFO-AS was evaluated,then the optimal model was selected.Results Patient's age＞49-69 years,with smoking history,plasma albumin≥43.8 g/L,significant right-to-left shunt at rest shown on cTTE and complicated atrial septal aneurysm shown on TEE were all independent predictors of PFO-AS,which were used to construct ML models.The area under the curve(AUC)of LR,KNN,SVM,RF,DT,BPNN and GBM models in training set was 0.779-0.853,while in test set was 0.730-0.877.RF model had relatively high and comparable sensitivity,specificity and AUC in both training and test sets,also higher precision and smaller Brier score in test set,hence was regarded as the optimal ML model.Conclusion RF model based on cTTE and TEE combined with clinical and laboratory indicators could be used to effectively predict PFO-AS.

Objective:To investigate the effect of toxifolin(TAX)on the malignant biological behaviors of human bladder cancer T24 cells through the Rac1/NF-κB/AKT signaling pathway.Methods:Bladder cancer T24 cells were routinely cultured and divided into:Ctrl group(untreated),TAX-L group(5 μmol/L TAX),TAX-M group(10 μmol/L TAX),TAX-H group(20 μmol/L TAX),and TAX-H+Rac1 activator group(20 μmol/L TAX+50 nmol/L ML-097).CCK-8 method,clone formation assay,scratch healing assay,Transwell chamber assay,and flow cytometry were used to evaluate the effects of different concentrations of TAX on the proliferation,migration,invasion,and apoptosis of T24 cells.WB method was used to examine the expression of apoptosis-related proteins,epithelial-mesenchymal transition(EMT)-related proteins,and Rac1/NF-κB/AKT axis related proteins in T24 cells;A nude mice xenograft model was used to assess the effect of TAX on tumor growth.Results:TAX dose-dependently inhibited the proliferation,migration,and invasion of T24 cells and promoted apoptosis(all P<0.05).TAX also increased the expression of apoptosis proteins BAX and E-cadherin,while decreasing the expression of Bcl-2,N-cadherin,and Rac1/NF-κB/AKT signaling pathway-related proteins(all P<0.05).Furthermore,TAX inhibited tumor growth in the xenograft model(P<0.05).ML-097 partially reversed these effects(all P<0.05).Conclusion:TAX inhibits the malignant biological behaviors of bladder cancer T24 cells and promotes their apoptosis by inhibiting Rac1/NF-κB/AKT signaling pathway.

Purpose To construct and validate a risk prediction model for in-stent restenosis(ISR)nomogram in patients with superficial femoral artery stent implantation.Materials and Methods 150 cases of superficial femoral artery stent implantation patients who were hospitalized in Department of Cardiovascular Surgery of the Second Affiliated Hospital of Army Medical University from February 2016 to November 2022 were retrospectively analyzed.Risk factors for ISR in patients with superficial femoral artery stent implantation were screened using univariate analysis,least absolute shrinkage and selection operator and multifactorial Logistic regression analysis.Nomograms were produced,Bootstrap method was used for internal validation,consistency index was used for model differentiation assessment,and calibration graphs were used for calibration assessment.Results Fifty-five patients(36.7%)with ISR one year after superficial femoral artery stenting were identified.Univariate analysis,least absolute shrinkage and selection operator and Logistic regression showed a history of stroke(OR=9.152,95%CI 2.957-28.322),chronic kidney disease(OR=14.639,95%CI 2.378-90.115),fibrinogen concentration(OR=8.422,95%CI 3.139-22.594),pre-procedural occlusion(OR=3.604,95%CI 1.446-8.981)and calcified plaque(OR=5.167,95%CI 2.044-13.059)were the best predictors of the occurrence of ISR one year post-procedure in patients with stenting of superficial femoral artery.The consistency index of the prediction model was 0.876(95%CI 0.812-0.939),with specificity and sensitivity of 93.6%and 70.9%,respectively;a Brie score of 0.124,and a consistency index after internal validation of the model of 0.859,respectively.Calibration plots showed that the ideal probability curves and the actual probability curves overlapped with each other well.Conclusion The Nomogram risk prediction model of superficial femoral artery stent restenosis constructed in this study has good differentiation and calibration,and is of good value for clinical prediction of ISR in patients with superficial femoral artery stent implantation.

Objective To develop the value of machine learning(ML)models based on contrast-transthoracic echocardiography(cTTE)and transesophageal echocardiography(TEE)combined with clinical and laboratory indicators for predicting patent foramen ovale-associated stroke(PFO-AS).Methods Totally 313 patients with PFO diagnosed with cTTE and TEE were retrospectively enrolled.Among them,65 cases were found complicated with ischemic stroke and confirmed as PFO-AS(PFO-AS group),and the rest 248 cases without ischemic stroke were classified as non-PFO-AS group.The patients were divided into training set(n=219,including 48 cases of PFO-AS and 171 cases of non-PFO-AS)and test set(n=94,including 17 cases of PFO-AS and 77 cases of non-PFO-AS)at the ratio of 7∶3.Univariable and multivariable logistic regression(LR)were used to analyze clinical and laboratory indicators as well as cTTE and TEE parameters in training set to screen independent predictive factors of PFO-AS.ML models,including LR,K-nearest neighbor(KNN),support vector machine(SVM),random forest(RF),decision tree(DT),back propagation neural network(BPNN)and gradient boosting machine(GBM)were constructed,and the predictive efficacy of the models for predicting PFO-AS was evaluated,then the optimal model was selected.Results Patient's age＞49-69 years,with smoking history,plasma albumin≥43.8 g/L,significant right-to-left shunt at rest shown on cTTE and complicated atrial septal aneurysm shown on TEE were all independent predictors of PFO-AS,which were used to construct ML models.The area under the curve(AUC)of LR,KNN,SVM,RF,DT,BPNN and GBM models in training set was 0.779-0.853,while in test set was 0.730-0.877.RF model had relatively high and comparable sensitivity,specificity and AUC in both training and test sets,also higher precision and smaller Brier score in test set,hence was regarded as the optimal ML model.Conclusion RF model based on cTTE and TEE combined with clinical and laboratory indicators could be used to effectively predict PFO-AS.

Purpose To construct and validate a risk prediction model for in-stent restenosis(ISR)nomogram in patients with superficial femoral artery stent implantation.Materials and Methods 150 cases of superficial femoral artery stent implantation patients who were hospitalized in Department of Cardiovascular Surgery of the Second Affiliated Hospital of Army Medical University from February 2016 to November 2022 were retrospectively analyzed.Risk factors for ISR in patients with superficial femoral artery stent implantation were screened using univariate analysis,least absolute shrinkage and selection operator and multifactorial Logistic regression analysis.Nomograms were produced,Bootstrap method was used for internal validation,consistency index was used for model differentiation assessment,and calibration graphs were used for calibration assessment.Results Fifty-five patients(36.7%)with ISR one year after superficial femoral artery stenting were identified.Univariate analysis,least absolute shrinkage and selection operator and Logistic regression showed a history of stroke(OR=9.152,95%CI 2.957-28.322),chronic kidney disease(OR=14.639,95%CI 2.378-90.115),fibrinogen concentration(OR=8.422,95%CI 3.139-22.594),pre-procedural occlusion(OR=3.604,95%CI 1.446-8.981)and calcified plaque(OR=5.167,95%CI 2.044-13.059)were the best predictors of the occurrence of ISR one year post-procedure in patients with stenting of superficial femoral artery.The consistency index of the prediction model was 0.876(95%CI 0.812-0.939),with specificity and sensitivity of 93.6%and 70.9%,respectively;a Brie score of 0.124,and a consistency index after internal validation of the model of 0.859,respectively.Calibration plots showed that the ideal probability curves and the actual probability curves overlapped with each other well.Conclusion The Nomogram risk prediction model of superficial femoral artery stent restenosis constructed in this study has good differentiation and calibration,and is of good value for clinical prediction of ISR in patients with superficial femoral artery stent implantation.

Objective:To discuss the effect of Fuzheng Ruanjian Anticancer Formula on the malignant biological behaviors of the hepatocellular carcinoma HepG2 cells by requlating protein kinase B(Akt)/murine double minute 2(MDM2)/P53 signaling pathway.Methods:The HepG2 cells were treated with 0,0.05,0.10,0.20,0.40,0.80,1.60,3.20,and 6.40 g·mL-1 Fuzheng Ruanjian Anticancer Formula for 48 h.CCK-8 method was used to detect the survival rates of the HepG2 cells in various groups,and the concentrations of Fuzheng Ruanjian Anticancer Formula for the subsequent experiments were screened.The HepG2 cells were divided into control group,low dose of Fuzheng Ruanjian Anticancer Formula group(0.2 g·mL-1),medium dose of Fuzheng Ruanjian Anticancer Formula group(0.4 g·mL-1),high dose of Fuzheng Ruanjian Anticancer Formula group(0.8 g·mL-1),SC79 group(8 mg·L-1 SC79),and high dose of Fuzheng Ruanjian Anticancer Formula+SC79 group(0.8 g·mL-1 Fuzheng Ruijian Anticancer Formula+8 mg·L-1 SC79).CCK-8 method was used to detect the proliferation activities of the HepG2 cells in various groups;clone formation assay was used to detect the clone formation rates of the HepG2 cells in various groups;flow cytometry was used to detect the apoptotic rates of the HepG2 cells in various groups;Transwell chamber assay was used to detect the numbers of migration and invasion HepG2 cells in various groups;Western blotting method was used to detect the expression levels of proliferating cell nuclear antigen(PCNA),cysteine aspartate specific proteinase(Caspase-3),matrix metalloproteinase(MMP)-2,MMP-9,phosphorylated Akt(p-Akt),phosphorylated MDM2(p-MDM2),and P53 proteins in the HepG2 cells in various groups.Results:As the increasing of concentrations of Fuzheng Ruanjian Anticancer Formula(0,0.05,0.10,0.20,0.40,0.80,1.60,3.20,and 6.40 g·mL-1),the surival rates of the HepG2 cells were gradually decreased(P<0.05),and 0.2,0.4,and 0.8 g·mL-1 Fuzheng Ruanjian Anticancer Formula were selected for the subsequent experiments.The CCK-8 assay results showed that compared with control group,the proliferation activities of the HepG2 cells in low,medium,and high doses of Fuzheng Ruanjian Anticancer Formula groups were significantly decreased(P<0.05),in a dose-dependent manner,while the proliferation activity of the cells in SC79 group was significantly increased(P<0.05).Compared with high dose of Fuzheng Ruanjian Anticancer Formula group,the proliferation activity of the HepG2 cells in high dose of Fuzheng Ruanjian Anticancer Formula+SC79 group was significantly increased(P<0.05).The clone formation assay results showed that compared with control group,the clone formation rates of the HepG2 cells in low,medium,and high doses of Fuzheng Ruanjian Anticancer Formula groups were significantly decreased(P<0.05)in a dose-dependent manner,while the clone formation rate of the cells in SC79 group was significantly increased(P<0.05);compared with high dose of Fuzheng Ruanjian Anticancer Formula group,the clone formation rate of the cells in high dose of Fuzheng Ruanjian Anticancer Formula+SC79 group was significantly increased(P<0.05).The flow cytometry results showed that compared with control group,the apoptotic rates of the HepG2 cells in low,medium,and high doses of Fuzheng Ruijian Anticancer Formula groups were significantly increased(P<0.05)in a dose-dependent manner,while the apoptotic rate of the cells in SC79 group was significantly decreased(P<0.05);compared with high dose of Fuzheng Ruanjian Anticancer Formula group,the apoptotic rate of the cells in high dose of Fuzheng Ruanjian Anticancer Formula+SC79 group was significantly decreased(P<0.05).The Transwell chamber assay results showed that compared with control group,the numbers of migration and invasion HepG2 cells in low,medium,and high doses of Fuzheng Ruanjian Anticancer Formula groups were significantly decreased(P<0.05)in a dose-dependent manner,while the numbers of migration and invasion cells in SC79 group were significantly increased(P<0.05);compared with high dose of Fuzheng Ruanjian Anticancer Formula group,the numbers of migration and invasion HepG2 cells in high dose of Fuzheng Ruanjian Anticancer Formula+SC79 group were significantly increased(P<0.05).The Western blotting results showed that compared with control group,the expression levels of PCNA,MMP-2,MMP-9,p-Akt,and p-MDM2 proteins in the cells in low,medium,and high doses of Fuzheng Ruanjian Anticancer Formula groups were significantly decreased(P<0.05)in a dose-dependent manner,while the expression levels of Caspase-3 and P53 proteins were significantly increased(P<0.05)in a dose-dependent manner,while the expression levels of PCNA,MMP-2,MMP-9,p-Akt,and p-MDM2 proteins in the cells in SC79 group were significantly increased(P<0.05),and the expression levels of Caspase-3 and P53 proteins were significantly decreased(P<0.05);compared with high dose of Fuzheng Ruanjian Anticancer Formula group,the expression levels of PCNA,MMP-2,MMP-9,p-Akt,and p-MDM2 proteins in the cells in high dose of Fuzheng Ruanjian Anticancer Formula+SC79 group were significantly increased(P<0.05),while the expression levels of Caspase-3 and P53 proteins were significantly decreased(P<0.05).Conclusion:Fuzheng Ruanjian Anticancer Formula may inhibit the proliferation,migration,and invasion of the HepG2 cells and promote the apoptosis,and its mechanism may be related to suppressing the Akt/MDM2 signaling pathway and upregulating the P53 proteim expression.

ObjectiveTo investigate the effect of Rehmanniae Radix Praeparata on neurological function injury in ischemic stroke rats and explore its mechanism. MethodMale SD rats were randomized into sham operation， model， low- and high -dose （3.5 g·kg^-1 and 7 g·kg^-1） Rehmannia Radix Praeparata， and nimodipine （0.01 g·kg^-1） groups. The rat model of middle cerebral artery occlusion （MCAO） was established with the modified suture occlusion method. Zea-Longa 5-point scoring was employed to evaluate the neurological function of rats. The cerebral infarction volume was detected by 2，3，5-triphenyltetrazolium chloride （TTC） staining. Hematoxylin-eosin staining and Nissl staining were employed to observe the morphology and damage of the brain tissue. Meanwhile， the serum levels of lactate dehydrogenase （LDH）， oxidative stress-related indicators superoxide dismutase （SOD）， glutathione peroxidase 4 （GPX4）， and malondialdehyde （MDA）， and the iron （Fe） content in the brain tissue were determined. To explore the mechanism of Rehmanniae Radix Preparata in mitigating the neurological damage in ischemic stroke rats， Western blotting was employed to determine the expression levels of proteins in the ischemic brain tissue. The autophagy-associated proteins included autophagy effector （beclin-1）， microtubule-associated protein light chain 3 （LC3B）， and ubiquitin-binding protein p62 （p62）. The ferroptosis-associated proteins included transferrin （TF）， transferrin receptor 1 （TFR1）， ferritin heavy chain 1 （FTH1）， and ferropotin （FPN1）. The neurological function injury-associated proteins included brain-derived neurotrophic factor （BDNF） and tyrosine kinase receptor B （TrkB）. ResultCompared with the sham operation group， the model group showed increased neurological function score， cerebral infarction volume， and appearance of nuclear pyknosis and vacuole of cells in the cerebral cortex. In addition， the model group presented elevated levels of LDH， MDA， and Fe （P<0.01） and lowered levels of SOD and GPX4 （P<0.01）. Compared with the model group， Rehmanniae Radix Praeparata decreased the content of LDH， MDA， and Fe （P<0.05， P<0.01） and elevated the levels of SOD and GPX4 （P<0.05， P<0.01）. Compared with the sham operation group， the modeling promoted the expression of beclin-1，LC3B Ⅱ/Ⅰ， TF， and TFR1 and inhibited the expression of p62， FTH1， FPN1， BDNF， and TrkB （P<0.01）. The expression levels of these proteins were recovered after the treatment with Rehmanniae Radix Praeparata. ConclusionRehmanniae Radix Praeparata may inhibit ferroptosis and improve the neurological function in ischemic stroke rats by down-regulating the autophagy level in the brain tissue.