Traditional Chinese medicine （TCM） compound prescriptions serve as crucial practical embodiments of TCM theoretical frameworks， characterized by their complex multi-component composition and multi-target interactions. The research on the material basis of their pharmacological effects has gradually become the key to promoting the modernization of TCM. In recent years， new ideas and theories regarding the research on pharmacodynamic substance basis of TCM compound prescriptions have been continuously proposed. This review systematically summarizes and reviews analytical techniques such as targeted fishing technology， spectrum-effect relationship analysis， serum pharmacochemistry， network pharmacology， high-throughput screening， and cell membrane chromatography. It is found that these techniques exhibit unique advantages in areas including target-specific analysis， component-pharmacological effect correlation analysis， identification of the material basis in vitro and in vivo， prediction of multi-target mechanisms， efficient screening of active ingredients， and analysis of interactions between cell membrane receptors. These techniques compensate for the shortcomings of traditional research methods， enhance the systematicness and precision of research on pharmacodynamic substance based TCM compound prescriptions， and can provide theoretical support for the promotion and clinical application of TCM compound prescriptions.

Objective To observe the value of T1WI deep learning models for evaluating brain injury of neonatal hyperbilirubinemia(NHB).Methods Totally 106 NHB(defined as newborns with neonatal behavioral neurological assessment≤37,NHB group)and 119 non-NHB newborns(control group)in center A,as well as 34 NHB and 18 non-NHB newborns in center B were collected.ROI was delineated based on bilateral globus pallidus on T1WI.A total of 690 slices were obtained by preprocessing data of center A and then were divided into training set(n=552)and test set(n=138)at a ratio of 8∶2.ResNet18,DenseNet121 and EfficientNetB0 models was established,respectively.External validation was performed based on data of center B.Receiver operating characteristic curves were drawn,area under the curves(AUC)were calculated to evaluate the performance of models for assessing NHB brain injuries compared with traditional visual analysis.Results The AUC of ResNet18 model for evaluating NHB brain injury was 0.910-0.990,significantly higher than that of DenseNet121 model(0.710-0.820)and EfficientNetB0 model(0.640-0.740)(all P＜0.001).The accuracy,sensitivity and precision of ResNet18 model for evaluating NHB brain injury were all higher than those of visual analysis(all P＜0.05),while no significant difference of specificity was found between the above two(P＞0.05).Conclusion T1WI ResNet18 model showed excellent performance and generalization ability for evaluating NHB brain injury.

Objective:ANXA2 plays a crucial role in cancer metastasis, but its mechanism is not yet fully understood. Therefore, it is necessary to establish an ANXA2 gene knockout mouse model to provide an effective tool for subsequent studies on ANXA2-related mechanisms.Methods:A gene knockout mouse model was constructed using CRISPR/Cas9 technology. The model was validated through tissue DNA extraction followed by polymerase chain reaction (PCR), sequencing, and western blot to confirm ANXA2 genotype and protein expression. The successfully constructed models were divided into a model group and a wild-type (WT) group for the creation of a mouse tail vein injection Lewis lung carcinoma (LLC) metastasis model. Metastatic foci formation was monitored using in vivo imaging technology, and the survival rates of the two groups were compared. Results:An sgRNA sequence targeting the first exon of ANXA2 was designed, and 16 founder mice were obtained through microinjection. Through consanguineous hybridization, 30 homozygous offspring were ultimately acquired. After establishing the strains of the mouse model, mice were divided into the ANXA2 knockout group and the WT group, with 8 mice in each group. An LLC lung metastasis model was established in both groups. Compared with the WT group, the number of metastatic foci was significantly increased in the ANXA2 knockout group (7 vs. 1), and the fluorescence intensity was stronger in the WT group than in the knockout group ( P=0.002). Using the GEPIA2 database to analyze ANXA2 gene expression in tumor tissues and normal tissues of lung cancer patients, it was found that ANXA2 expression levels were significantly higher in lung cancer tumor tissues compared to normal tissues ( P＜0.05). The database included data from 478 lung cancer patients, and patients were stratified into high-expression and low-expression groups based on ANXA2 levels. Compared to the low-expression group, patients in the high-expression group exhibited significantly shorter disease-free survival and overall survival ( P＜0.05, respectively). The survival time of mice in the ANXA2 knockout group (median survival time, 43 days) was significantly longer compared to the WT group (median survival time, 26 days; P=0.017). Additionally, ANXA2 expression is significantly associated with the prognosis of lung cancer patients ( P=6.4e-14). Conclusions:ANXA2 is closely associated with cancer metastasis and holds potential as a new target for metastasis treatment. Further in-depth research will greatly facilitate the transition of ANXA2 from basic research to clinical application.

Objective:To investigate the effect of dapagliflozin on non-dipper blood pressure in patients with diabetic kidney disease(DKD).Methods:A total of 104 patients with DKD treated in the Department of Nephrology of Henan Provincial Hospital of Tradi-tional Chinese Medicine from January 2023 to January 2024 were selected as the study subjects.The patients were divided into a dapa-gliflozin group and a control group by the random number table method,with 52 patients in each group.The control group was given conventional Western medicine treatment,and the dapagliflozin group was additionally given dapagliflozin(10 mg/dose,once a day)on the basis of the treatment in the control group.Both groups re-ceived continuous treatment for 12 weeks.The following indicators and the incidence of adverse reactions after treatment were com-pared between the two groups,including blood glucose indicators[fasting plasma glucose(FPG),2-hour postprandial blood glucose(2 h PBG),and glycated hemoglobin(HbA1c)],renal function markers[serum cystatin C(CysC),blood urea nitrogen(BUN),se-rum creatinine(Scr),estimated glomerular filtration rate(eGFR),and urinary albumin/creatinine ratio(UACR)],24-h ambulatory blood pressure,proportion of non-dipper blood pressure and reversal rate of dipper blood pressure,blood electrolytes[potassium(K),sodium,chlorine,calcium,magnesium,and phosphorus],serum uric acid(SUA),and urine electrolytes[urine potassium,urine sodium(UNa),urine chlorine,urine calcium,urine magnesium(UMg),and urine phosphorus].Results:The FPG,2 h PBG,HbA1c,CysC,BUN,Scr,UACR,mean 24 h systolic blood pressure(24 h SBP),mean daytime systolic blood pressure,and mean nighttime diastolic blood pressure were decreased and the eGFR was elevated in both groups after treatment.The mean nighttime systolic blood pressure(nSBP),K,and SUA were decreased and the UNa and UMg were increased in the dapagliflozin group after treatment(P<0.05).Com-pared with the control group,the dapagliflozin group experienced decreases in CysC,BUN,Scr,UACR,24 h SBP,nSBP,K,and SUA and increases in eGFR,UNa,and UMg after treatment(P<0.05).The proportion of non-dipper blood pressure after treatment in the dapagliflozin group was lower than that in the control group and before treatment,and the reversal rate of dipper blood pressure was higher than that in the control group(P<0.05).During treatment,the incidence rates of adverse reactions was 3.85%in the dapa-gliflozin group and 5.77%in the control group(P=1.000).Conclusion:Dapagliflozin improves the renal function,decreases the noctur-nal blood pressure,and increases the reversal rate of dipper blood pressure in patients with DKD.Dapagliflozin promotes UNa excre-tion and decreases the SUA level,which may be the potential mechanism of reversing non-dipper blood pressure.

Objective To observe the value of T1WI deep learning models for evaluating brain injury of neonatal hyperbilirubinemia(NHB).Methods Totally 106 NHB(defined as newborns with neonatal behavioral neurological assessment≤37,NHB group)and 119 non-NHB newborns(control group)in center A,as well as 34 NHB and 18 non-NHB newborns in center B were collected.ROI was delineated based on bilateral globus pallidus on T1WI.A total of 690 slices were obtained by preprocessing data of center A and then were divided into training set(n=552)and test set(n=138)at a ratio of 8∶2.ResNet18,DenseNet121 and EfficientNetB0 models was established,respectively.External validation was performed based on data of center B.Receiver operating characteristic curves were drawn,area under the curves(AUC)were calculated to evaluate the performance of models for assessing NHB brain injuries compared with traditional visual analysis.Results The AUC of ResNet18 model for evaluating NHB brain injury was 0.910-0.990,significantly higher than that of DenseNet121 model(0.710-0.820)and EfficientNetB0 model(0.640-0.740)(all P＜0.001).The accuracy,sensitivity and precision of ResNet18 model for evaluating NHB brain injury were all higher than those of visual analysis(all P＜0.05),while no significant difference of specificity was found between the above two(P＞0.05).Conclusion T1WI ResNet18 model showed excellent performance and generalization ability for evaluating NHB brain injury.

Diabetic kidney disease （DKD） is one of the most common and harmful microvascular complications of diabetes， and there is currently a lack of effective treatment methods to delay its progression. Traditional Chinese medicine has a long history of treating DKD and offers unique advantages. As a traditional Chinese medicine， Rehmannia glutinosa has shown potential in the treatment of DKD in clinical and modern pharmacological research. After integrating relevant research on the pharmacological mechanism of R. glutinosa in treating DKD， it has been found that the main active components of R. glutinosa， such as catalpol， rehmannioside D， aucubin， verbascoside， salidroside， echinacoside and R. glutinosa polysaccharides， along with its extracts and compounds （such as Liuwei dihuang pills， Shenqi dihuang decoction， and Shenqi pills）， can exert multiple effects by intervening in various signaling pathways， including advanced glycation end product （AGE）/receptor for AGE， nuclear factor kappa-B （NF- κB）， and transforming growth factor-β1 （TGF-β1）/Smads. These effects include ameliorating metabolic disorders and oxidative stress in DKD， inhibiting the processes of renal inflammation and fibrosis， regulating cell death modalities including apoptosis and ferroptosis， as well as autophagy， and reshaping the gut microbiota. Consequently， it can improve physical and chemical indices and renal tissue pathological damage， thus delaying the progression of DKD.

In the study of kidney ischemia-reperfusion injury, rhabdomyolysis induced kidney injury, hyperuricemia induced kidney injury and other diseases, Diaphragma Juglandis Fructus extract has shown various pharmacological effects such as lowering uric acid, anti-inflammatory, anti-tumor, sedative and sedative effects. It can improve kidney function by reducing inflammatory response, inhibiting oxidative stress, regulating related enzyme activity and other mechanisms. At the same time, Diaphragma Juglandis Fructus extract also has hypoglycemic and lipid-lowering effects, which can regulate glucose and lipid metabolism, inhibit inflammatory reaction, and reduce oxidative stress. It has potential application prospects in the treatment of diabetes nephropathy. At present, current research is mostly focused on animal and cellular experiment levels. Although certain achievements have been made, further clinical research is still needed to clarify its effectiveness and safety in the human body, and to further explore the active components to promote its application in the treatment of kidney diseases in clinical practice.

Objective:ANXA2 plays a crucial role in cancer metastasis, but its mechanism is not yet fully understood. Therefore, it is necessary to establish an ANXA2 gene knockout mouse model to provide an effective tool for subsequent studies on ANXA2-related mechanisms.Methods:A gene knockout mouse model was constructed using CRISPR/Cas9 technology. The model was validated through tissue DNA extraction followed by polymerase chain reaction (PCR), sequencing, and western blot to confirm ANXA2 genotype and protein expression. The successfully constructed models were divided into a model group and a wild-type (WT) group for the creation of a mouse tail vein injection Lewis lung carcinoma (LLC) metastasis model. Metastatic foci formation was monitored using in vivo imaging technology, and the survival rates of the two groups were compared. Results:An sgRNA sequence targeting the first exon of ANXA2 was designed, and 16 founder mice were obtained through microinjection. Through consanguineous hybridization, 30 homozygous offspring were ultimately acquired. After establishing the strains of the mouse model, mice were divided into the ANXA2 knockout group and the WT group, with 8 mice in each group. An LLC lung metastasis model was established in both groups. Compared with the WT group, the number of metastatic foci was significantly increased in the ANXA2 knockout group (7 vs. 1), and the fluorescence intensity was stronger in the WT group than in the knockout group ( P=0.002). Using the GEPIA2 database to analyze ANXA2 gene expression in tumor tissues and normal tissues of lung cancer patients, it was found that ANXA2 expression levels were significantly higher in lung cancer tumor tissues compared to normal tissues ( P＜0.05). The database included data from 478 lung cancer patients, and patients were stratified into high-expression and low-expression groups based on ANXA2 levels. Compared to the low-expression group, patients in the high-expression group exhibited significantly shorter disease-free survival and overall survival ( P＜0.05, respectively). The survival time of mice in the ANXA2 knockout group (median survival time, 43 days) was significantly longer compared to the WT group (median survival time, 26 days; P=0.017). Additionally, ANXA2 expression is significantly associated with the prognosis of lung cancer patients ( P=6.4e-14). Conclusions:ANXA2 is closely associated with cancer metastasis and holds potential as a new target for metastasis treatment. Further in-depth research will greatly facilitate the transition of ANXA2 from basic research to clinical application.

Objective:To explore the effects of informatization traceability management combined with performance assessment in the nursing management of Disinfection Supply Center.Methods:In March 2021, the Disinfection Supply Center of the First Affiliated Hospital of Zhengzhou University implemented the informatization traceability management combined with performance assessment. Convenient sampling method was used to select 172 medical devices disinfected and sterilized by the Disinfection Supply Center before implementation (from March 2020 to February 2021) and 166 medical devices disinfected and sterilized by the Disinfection Supply Center after implementation (from March 2021 to February 2022) for statistical analysis. We compared the cleaning qualified rate, sterilization qualified rate, packaging qualified rate, distribution qualified rate, management effects, adverse event rate of device management, and performance assessment results before and after the implementation of the informatization traceability management combined with performance assessment.Results:The cleaning qualified rate, packaging qualified rate and distribution qualified rate after implementation were higher than those before implementation, and the differences were statistically significant ( P<0.05) . The recovery and classification time, device information registration time, ex-warehouse inspection time and manual operation time after implementation were shorter than those before implementation, and the differences were statistically significant ( P<0.05) . The device damage rate, label error rate and device loss rate after implementation were lower than those before implementation with statistical differences ( P<0.05) . The scores of theoretical assessment and operational skill assessment after implementation were higher than those before implementation with statistical differences ( P<0.05) . Conclusions:The combination of informatization traceability management and performance assessment can improve the nursing management effects of the Disinfection Supply Center, significantly increase the qualified rate of cleaning, packaging and distribution, and boost the performance assessment results of nurses, which helps to reduce the incidence of adverse events in device management.

Objective To investigate the independent risk factors for acute severe cholangitis and related protective factors, and to construct a risk prediction scoring model for acute severe cholangitis. Methods A retrospective analysis was performed for the clinical data of 381 patients with acute cholangitis who were admitted to Department of Hepatobiliary Surgery, The 940th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, from January 2016 to July 2021, among whom there were 273 patients with non-severe cholangitis and 108 patients with severe cholangitis. Univariate and multivariate logistic regression analyses were used to screen out the independent risk factors for acute severe cholangitis and related protective factors, and then a logistic regression model was established. The receiver operating characteristic (ROC) curve was used to evaluate the discriminatory ability of the model, the calibration curve was used to evaluate the prediction accuracy of the model, and decision curve analysis (DCA) was used to evaluate the clinical value of the model. Moreover, the enhanced Bootstrap method was used to perform internal validation of the model and evaluate the performance of the model in internal validation. The model was visualized by the construction of Web calculator, nomogram, and scoring system. The two-independent-samples t test was used for comparison of normally distributed continuous data between groups, and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups; the chi-square test was used for comparison of categorical data between groups. Results The univariate and multivariate logistic regression analyses showed that total bilirubin (TBil) (odds ratio [ OR ]=1.014, 95% confidence interval [ CI ]: 1.009-1.020, P < 0.001), percentage of neutrophils ( OR =1.128, 95% CI : 1.088-1.175, P < 0.001), and age ( OR =1.053, 95% CI : 1.027-1.082, P < 0.001) were independent risk factors, and albumin (Alb) ( OR =0.871, 95% CI : 0.817-0.924, P < 0.001) was a protective factor. The above independent risk factors and protective factor were included in the logistic regression analysis for model fitting, and the predictive model obtained had an area under the ROC curve (AUC) of 0.925 (95% CI : 0.897-0.952), with a specificity of 0.817 and a sensitivity of 0.935 at the optimal cut-off value of 0.245. The calibration curve showed that the predicted probability of the model was approximately equal to the actual probability, with a Brier value of 0.098, and the decision curve analysis showed that the model had a higher net income within the threshold probability interval of 0.1-0.9. Internal validation showed an AUC internal validation of 0.915 and a Brier value internal verification of 0.106. Conclusion TBil, percentage of neutrophils, and age are independent risk factors for acute severe cholangitis, while Alb is a protective factor. The established risk prediction scoring model has good discriminatory ability, calibration, and clinical value and can identify patients with acute severe cholangitis at an early stage, which provides a reference for subsequent diagnosis and treatment.