ObjectiveTo analyze the distribution characteristics of traditional Chinese medicine （TCM） syndrome elements in different risk populations of heart failure complicated with type 2 diabetes. MethodsClinical data of 675 type 2 diabetes patients were retrospectively collected. Lasso-multivariate Logistic regression was used to construct a clinical prediction nomogram model. Based on this， 441 non-heart failure patients were divided into a low-risk group （325 cases） and a high-risk group （116 cases） according to the median risk score of heart failure complicated with type 2 diabetes. TCM diagnostic information （four diagnostic methods） was collected for both groups， and factor analysis was applied to summarize the distribution of TCM syndrome elements in different risk populations. ResultsLasso-multivariate Logistic regression analysis identified age， disease duration， coronary heart disease， old myocardial infarction， arrhythmia， absolute neutrophil count， activated partial thromboplastin time， and α-hydroxybutyrate dehydrogenase as independent risk factors for heart failure complicated with type 2 diabetes. These were used as final predictive factors to construct the nomogram model. Model validation results showed that the area under the curve （AUC） of the receiver operating characteristic （ROC） curve for the modeling group and validation group were 0.934 and 0.935， respectively. The Hosmer-Lemeshow test （modeling group P = 0.996， validation group P = 0.121） indicated good model discrimination. Decision curve analysis showed that the curves for All and None crossed in the upper right corner， indicating high clinical utility. The low-risk and high-risk groups each obtained 14 common factors. Preliminary analysis revealed that the main disease elements in the low-risk group were qi deficiency （175 cases， 53.85%）， dampness （118 cases， 36.31%）， and heat （118 cases， 36.31%）， with the primary locations in the spleen （125 cases， 38.46%） and lungs （99 cases， 30.46%）. In the high-risk group， the main disease elements were yang deficiency （73 cases， 62.93%）， blood stasis （68 cases， 58.62%）， and heat （49 cases， 42.24%）， with the primary locations in the kidney （84 cases， 72.41%） and heart （70 cases， 60.34%）. ConclusionThe overall disease characteristics in different risk populations of type 2 diabetes patients with heart failure are a combination of deficiency and excess， with deficiency being predominant. Deficiency and heat are present throughout. The low-risk population mainly shows qi deficiency with dampness and heat， related to the spleen and lungs. The high-risk population shows yang deficiency with blood stasis and heat， related to the kidneys and heart.

ObjectiveTo investigate the association between urinary thallium （TL） and nonalcoholic fatty liver disease （NAFLD）. MethodsRelated data were collected from the registered participants aged ≥18 years in National Health and Nutrition Examination Survey from 2017 to 2020， with th exclusion of the individuals with a lack of liver transient elastography data and urinary TL indicators and those with hepatitis B， hepatitis C or significant alcohol consumption. A total of individuals were divided into NAFLD group and non-NAFLD group. Urinary TL level was quantitatively measured using high-performance liquid chromatography-electrospray ionization-tandem mass spectrometry and online solid-phase extraction combined with isotope dilution. The two groups were compared in terms of age， sex， race， marital status， education， family income poverty impact ratio （FMPIR）， body mass index （BMI）， smoking， alcohol consumption， diabetes mellitus （DM）， hypertension （HTN）， hyperlipidemia （HL）， and urinary TL level. The independent-samples t test or the Wilcoxon rank-sum test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between two groups. Descriptive analysis， multivariable Logistic regression， restricted cubic spline regression analysis， subgroup analysis， and interaction analysis were conducted to investigate the risk association between urinary TL and NAFLD. ResultsA total of 2 511 individuals were included， with 1 612 （64.20%） in the NAFLD group and 899 （35.80%） in the non-NAFLD group， and the NAFLD group had a significantly higher urinary TL level than the non-NAFLD group ［0.18 （0.11‍ ‍— ‍0.26）μg/L vs 0.16 （0.09 — ‍0.25）μg/L， Z=-2.76， P=0.01］. After adjustment for the covariates of age， sex， race， education， marital status， FMPIR， BMI， smoking， alcohol consumption， DM， HTN， and HL， the urinary TL Q4 group had a significant increase in the risk of NAFLD （odds ratio ［OR］=1.90， 95% confidence interval ［CI］： 1.48‍ — ‍2.44， P<0.01）. There was a positive dose-response relationship （P<0.01） and a non-linear relationship （P<0.01） between urinary TL and the risk of NAFLD. A significant interaction was observed between urinary TL and smoking/BMI （P<0.05）. For individuals taking ≥100 cigarettes in their lifetime， the risk of NAFLD was increased by 50% for every quartile increase in urinary TL （OR=1.50， 95%CI： 1.24‍ — ‍1.80）， and for individuals taking<100 cigarettes in their lifetime， the risk of NAFLD was increased by 20% for every quartile increase in urinary TL （OR=1.20， 95%CI： 1.03‍ — ‍1.40）； for individuals with a BMI of ≥30 kg/m²， the risk of NAFLD was increased by 30% for every quartile increase in urinary TL （OR=1.30， 95%CI： 1.05‍ — ‍1.70）， with a statistical significance （P<0.05）. ConclusionUrinary TL level is significantly associated with the risk of NAFLD.

Polygonum multiflorum （PM）， a commonly used Chinese herbal medicine in clinical practice， has been associated with frequent reports of liver injury in recent years， and the medication safety of PM has attracted more and more attention in China and globally. This article reviews the recent research advances in the signaling pathways and mechanisms of PM in causing drug-induced liver injury （DILI） and aims to provide new ideas for the proper and rational use of PM in clinical practice. The results show that PM is involved in the regulation of various signaling pathways， and it leads to the death of hepatocytes by destroying mitochondrial function， exacerbating bile acid accumulation， and inducing immune response， oxidative stress， and endoplasmic reticulum stress， thereby inducing the development and progression of DILI through multiple targets， pathways， and levels.

OBJECTIVE To investigate the protective effect proanthocyanidin B2(PC-B2) on oxidative damage and apoptosis of mouse astrocytes(AS) induced by hydrogen peroxide(H2O2) and its mechanism. METHODS AS were isolated and cultured from neonatal C57BL/6 mice(1−3 d). The optimal concentration of H2O2 and PC-B2 was divided into four groups: normal group, normal+PC-B2 group(100 μg·mL‒1 PC-B2 treated for 24 h), H2O2 model group(200 μmol·L‒1 H2O2 treated for 24 h), PC-B2 group(200 μmol·L‒1 H2O2 and 100 μg·mL‒1 PC-B2 treated for 24 h). The cell viability of each group was detected by CCK-8 method. Cytotoxicity was detected by LDH method. The antioxidant capacity was detected by ABTS and DPPH. The content of MDA and the activity of SOD, CAT and GSH-Px were detected by ELISA kit. Detection of apoptosis in each group was done by TUNEL staining. The mRNA and protein expression levels of Bax, Bcl-2, Caspase-3, Akt/Stat3, p-Akt, p-Stat3 and Nrf2/HO-1 in AS were detected by RT-PCR and Western blotting, respectively. RESULTS PC-B2 could significantly enhance cell viability and inhibit AS apoptosis. Compared with the H2O2 model group, PC-B2 intervention could significantly reduce the content of LDH and MDA in AS, and increase the activity of SOD, CAT and GSH-Px. PC-B2 intervention could inhibit the mRNA and protein expression of Bax and Caspase-3, and up-regulate the mRNA and protein expression of Akt/Stat3, Bcl-2, Nrf2/HO-1. CONCLUSION PC-B2 can enhance the antioxidant capacity of AS through Akt/Stat3 and Nrf2/HO-1 pathways, therefore reduce H2O2-induced AS oxidative damage and apoptosis.

Objective Summarizes the current research status of defensive medicine in China and provides references for future research.Methods The search period spans from the inception of the database to March 2024.CNKI,Wan-fang Data,Web of Science,PubMed databases were queried,followed by literature screening based on predeter-mined inclusion and exclusion criteria.The current landscape of defensive medicine research in China was synthe-sized and categorized based on fundamental research characteristics,measurement methodologies,influencing fac-tors,and other relevant aspects.Results A total of 24 Chinese literature sources and 4 foreign literature sources were incorporated,indicating a prevalent occurrence of defensive medicine in China.Measurement tools for defen-sive medicine exhibit variability across different studies.Key influencing factors encompass doctor's demographic vari-ables such as gender,age,and professional status,institutional factors like legal frameworks and medical in-surance,and sociol-cultural factors such as doctor-patient relationships and adverse public perceptions.Conclusion Defensive medicine is relatively widespread and influenced by various factors in China.It's urgent to explore the for-mation mechanism of defensive medicine from multiple perspectives and provide evidence for passive defen-sive medicine governance.

Objective To clarify the influencing factors of defensive medicine and provide ideas for preventing and re-solving defensive medicine.Methods Literature related to defensive medicine was searched,personnel related to de-fensive medicine were interviewed,and literature and interview data were coded with the method of grounded theo-ry,and related concepts and categories were summarized.Results After three levels of coding,52 initial concepts,23 initial categories,7 sub-categories and 3 main categories were sorted out,and the correlation among influencing factors was analyzed to build a three-dimensional model of"doctor-patient relationship-institutional system-social environment"influencing factors and their mechanism of action.Conclusion The influencing factors of defensive medi-cine mainly include doctor-patient relationship,institutional system and social environment.The three factors have an impact on defensive medicine through different mechanisms of action,which provides qualitative evidence for comprehensive analysis of factors in related studies of defensive medicine.

Objective Summarizes the current research status of defensive medicine in China and provides references for future research.Methods The search period spans from the inception of the database to March 2024.CNKI,Wan-fang Data,Web of Science,PubMed databases were queried,followed by literature screening based on predeter-mined inclusion and exclusion criteria.The current landscape of defensive medicine research in China was synthe-sized and categorized based on fundamental research characteristics,measurement methodologies,influencing fac-tors,and other relevant aspects.Results A total of 24 Chinese literature sources and 4 foreign literature sources were incorporated,indicating a prevalent occurrence of defensive medicine in China.Measurement tools for defen-sive medicine exhibit variability across different studies.Key influencing factors encompass doctor's demographic vari-ables such as gender,age,and professional status,institutional factors like legal frameworks and medical in-surance,and sociol-cultural factors such as doctor-patient relationships and adverse public perceptions.Conclusion Defensive medicine is relatively widespread and influenced by various factors in China.It's urgent to explore the for-mation mechanism of defensive medicine from multiple perspectives and provide evidence for passive defen-sive medicine governance.

Objective To clarify the influencing factors of defensive medicine and provide ideas for preventing and re-solving defensive medicine.Methods Literature related to defensive medicine was searched,personnel related to de-fensive medicine were interviewed,and literature and interview data were coded with the method of grounded theo-ry,and related concepts and categories were summarized.Results After three levels of coding,52 initial concepts,23 initial categories,7 sub-categories and 3 main categories were sorted out,and the correlation among influencing factors was analyzed to build a three-dimensional model of"doctor-patient relationship-institutional system-social environment"influencing factors and their mechanism of action.Conclusion The influencing factors of defensive medi-cine mainly include doctor-patient relationship,institutional system and social environment.The three factors have an impact on defensive medicine through different mechanisms of action,which provides qualitative evidence for comprehensive analysis of factors in related studies of defensive medicine.

Objective Summarizes the current research status of defensive medicine in China and provides references for future research.Methods The search period spans from the inception of the database to March 2024.CNKI,Wan-fang Data,Web of Science,PubMed databases were queried,followed by literature screening based on predeter-mined inclusion and exclusion criteria.The current landscape of defensive medicine research in China was synthe-sized and categorized based on fundamental research characteristics,measurement methodologies,influencing fac-tors,and other relevant aspects.Results A total of 24 Chinese literature sources and 4 foreign literature sources were incorporated,indicating a prevalent occurrence of defensive medicine in China.Measurement tools for defen-sive medicine exhibit variability across different studies.Key influencing factors encompass doctor's demographic vari-ables such as gender,age,and professional status,institutional factors like legal frameworks and medical in-surance,and sociol-cultural factors such as doctor-patient relationships and adverse public perceptions.Conclusion Defensive medicine is relatively widespread and influenced by various factors in China.It's urgent to explore the for-mation mechanism of defensive medicine from multiple perspectives and provide evidence for passive defen-sive medicine governance.

Objective To clarify the influencing factors of defensive medicine and provide ideas for preventing and re-solving defensive medicine.Methods Literature related to defensive medicine was searched,personnel related to de-fensive medicine were interviewed,and literature and interview data were coded with the method of grounded theo-ry,and related concepts and categories were summarized.Results After three levels of coding,52 initial concepts,23 initial categories,7 sub-categories and 3 main categories were sorted out,and the correlation among influencing factors was analyzed to build a three-dimensional model of"doctor-patient relationship-institutional system-social environment"influencing factors and their mechanism of action.Conclusion The influencing factors of defensive medi-cine mainly include doctor-patient relationship,institutional system and social environment.The three factors have an impact on defensive medicine through different mechanisms of action,which provides qualitative evidence for comprehensive analysis of factors in related studies of defensive medicine.