Objective To identify factors affecting and key environmental factors of the Oncomelania hupensis snail density in the Yangtze River Delta region using machine learning methods. Methods Administrative village-level O. hupensis snail survey data in the Yangtze River Delta (including Shanghai Municipality, Jiangsu Province, Zhejiang Province and Anhui Province) from 2011 to 2021 were retrieved from the Information Management System for Parasitic Disease Control of Chinese Center for Disease Control and Prevention. Environmental factor data were captured from the Google Earth Engine platform, including elevation, slope, terrain, normalized difference vegetation index (NDVI), vegetation type, soil type, total petroleum hydrocarbon (TPH), ammonium nitrogen, inorganic nitrogen, dissolved oxygen, pH of water, chemical oxygen demand (COD) and inorganic phosphorus, and climatic factor data in the study region were retrieved from the Copernicus Climate Data Store, including annual precipitation, aridity index and annual mean temperature (AMT). O. hupensis snail survey data in the Yangtze River Delta region from 2011 to 2021 were randomly divided into a training set (70%) and a test set (30%), and five machine learning models were selected for machine learning model construction and comparative analysis of the O. hupensis snail density using the software R 4.3.0, including random forest (RF), eXtreme gradient boosting (XGBoost), support vector machine (SVM), gradient boosting machine (GBM) and neural network (NN). The XGBoost model was employed to construct a predictive model for the O. hupensis snail density, and the impact of each environmental factor on O. hupensis snail distribution was quantified. The SHapley Additive exPlanations (SHAPs) values were calculated to estimate the average contribution of each variable to the model prediction, and the core environmental factors affecting the O. hupensis snail population density were screened. Results Among the five machine learning models, the XGBoost model exhibited the optimal comprehensive performance, with the coefficient of determination (R²) of 0.855, mean squared error (MSE) of 0.188, root mean squared error (RMSE) of 0.434 and mean absolute error (MAE) of 0.155, respectively. Analysis of factors affecting the O. hupensis snail density with the XGBoost model showed that among the 16 environmental factors, the top four high-impact factors ranked by SHAPs values included annual precipitation, elevation, aridity index and NDVI, with cumulative SHAPs contributions of 75%, which was higher than that of other environmental factors. If NDVI was higher than 0.6, the O. hupensis snail density increased with NDVI and peaked if NDVI was 0.8 (1.60 snails/0.1 m²). The O. hupensis snail density increased with elevation if the elevation ranged from 14 to 40 m, and slowly rose if the annual precipitation ranged from 900 to 1 300 mm, and then increased rapidly to the peak (1.52 snails/0.1 m²) if the annual precipitation ranged from 1 300 to 1 500 mm. In addition, the O. hupensis snail density increased rapidly to the maximum (1.60 snails/0.1 m²) if the aridity index ranged from 0.8 to 1.1, and decreased gradually if the aridity index exceeded 1.1. Conclusions The XGBoost model shows excellent performance in prediction of the O. hupensis snail density and identification of key environmental factors in the Yangtze River Delta region. Annual precipitation, elevation, aridity index and NDVI are key environmental factors affecting the distribution and density of O. hupensis snails in the Yangtze River Delta region.

Objective To assess the survival vulnerability of Oncomelania hupensis in Jiangxi Province under future climate scenarios, and to identify low-vulnerability areas for its survival in this province. Methods Village-level O. hupensis snail survey and O. hupensis snail control with chemical treatments in Jiangxi Province from 2016 to 2024 were captured from the Parasitic Disease Prevention and Control Information Management System of China Disease Prevention and Control Information System. Climatic data were primarily sourced from the Resource and Environmental Science Data Platform, Chinese Academy of Sciences (http://www.resdc.cn/), including annual average temperature, annual average precipitation, annual accumulated temperature above 10 °C, annual accumulated temperature above 0 °C, annual maximum temperature, annual minimum temperature, and annual average relative humidity, and nineteen bioclimatic variables were downloaded from the WorldClim website (https://www.worldclim.org/), including mean diurnal range, isothermality, temperature seasonality, and so on. Elevation and normalized difference vegetation index were catprued from the Resource and Environmental Science Data Platform, Chinese Academy of Sciences (http://www.resdc.cn/), and distance to rivers was downloaded from the WorldPop website (http://www.worldpop.org), and land use and land cover (LULC) data were downloaded from the Big Earth Data Center, Chinese Academy of Sciences (https://data.casearth.cn/), and nature reserve data were obtained from the China Nature Reserve Specimen Resource Sharing Platform (http://www.papc.cn/). Three Shared Socioeconomic Pathways (SSPs) from the Beijing Climate Center-Climate System Model version 2-Medium Resolution (BCC-CSM2-MR) global climate model were employed as future climate scenarios, including SSP126, SSP245, SSP585, and the biomod2 ensemble model in R package was used to simulate suitable habitats for O. hupensis snails in Jiangxi Province in 2050 and 2070 under these scenarios. A snail survival vulnerability index was constructed based on the area of suitable snail habitats, area covered by snail control through chemical treatment, area covered by nature reserves, and changes in snail habitat fragmentation, and a map of snail survival vulnerability distribution was plotted. Results The real area of snail habitats ranged from 78 486.76 to 85 309.47 hm², and the area of snail control with chemical treatment ranged from 10 138.98 to 13 240.16 hm² in Jiangxi Province from 2016 to 2024. There were 429 to 531 villages detected with snails during the nine-year period, and the number of actually snail-infested villages ranged from 645 to 686. A total of 818 snail-present points and 1 996 snail-absent points were obtained from snail survey records. The best performance of the biomod2 ensemble model was achieved if a weighted mean approach was used as the ensemble strategy, with a true skill statistic value of 0.799 and an area under the receiver operating characteristic curve of 0.957, and modeling identified annual average relative humidity and annual average precipitation as two most influencing climatic variables for snail distribution. Relative to the current areas of suitable snail habitats under present climate conditions, the area of suitable snail habitats was projected to expand by 24.49% to 46.28% in Jiangxi Province under future climate scenarios, and the proportion of nature reserves areas in the areas of suitable snail habitats was projected to decrease slightly from the current 2.77% to approximately 2.52%, while the proportion of areas of snail control through chemical treatment in areas of suitable snail habitats varied from 0.64% to 19.57%, and the percentage of changes in snail habitat fragmentation ranged from 3.86% to 12.23%. Based on these four indicators, the snail survival vulnerability index was estimated to range from –1.96 to 0.62 in Jiangxi Province. The arithmetic mean of the snail survival vulnerability index differed under three SSP scenarios (SSP126, SSP245 and SSP585), with the highest mean value (–0.69) in 2070 under SSP126, and the lowest mean value (–0.78) in 2070 under SSP585. Conclusions The snail survival vulnerability index ranges from –1.96 to 0.62 in Jiangxi Province under future climate scenarios, and the suitable habitats for O. hupensis snails appear an overall tendency towards expansion. Low-vulnerability snail habitats are mainly distributed along the shores of Poyang Lake and the Yangtze River in Jiangxi Province, partially overlapping with nature reserves. Intensified surveillance of O. hupensis snails is recommended in these areas in the future.

To understand the progress of, summarize experiences from, and analyze problems in the national schistosomiasis elimination programme, this article presented the national schistosomiasis epidemiology and surveillance in the People’s Republic of China in 2025. By the end of 2025, Shanghai Municipality, Zhejiang Province, Fujian Province, Guangdong Province and Guangxi Zhuang Autonomous Region maintained the achievement of schistosomiasis elimination, and 7 provinces of Jiangsu, Sichuan, Yunnan, Hubei, Hunan, Anhui and Jiangxi remained at the criteria of schistosomiasis transmission interruption. In 2025, there were 450 counties (cities, districts), 3 203 townships and 26 029 villages endemic for schistosomiasis in China, with a total population of 73.598 million in endemic villages. Among the 450 endemic counties (cities, districts), 421 (93.56%) achieved the criteria of schistosomiasis elimination and 29 (6.44%) reached the criteria of transmission interruption. In 2025, a total of 3 630 874 residents received immunological tests for schistosomiasis across endemic areas in China, with 31 588 seropositives identified (seroprevalence, 0.87%), and a total of 154 293 individuals received parasitological examinations, with 5 egg-positives detected. A total of 26 688 advanced schistosomiasis cases were recorded in China by the end of 2025. Of 529 683 bovines raised in schistosomiasis-endemic villages in China in 2025, 101 637 bovines received immunological tests for schistosomiasis, with 183 seropositives detected (seroprevalence, 0.18%), and 165 654 bovines received parasitological examinations, with no egg-positives identified. In 2025, Oncomelania hupensis snail survey was performed covering an area of 667 524.82 hm² in China, and 176 378.64 hm² O. hupensis snail habitats were identified, including 123.77 hm² emerging O. hupensis snail habitats and 953.71 hm² re-emerging O. hupensis snail habitats. A total of 19 283 schistosomiasis cases received chemotherapy with praziquantel in China in 2025, and 477 450 person-times and 304 279 herd-times received expanded chemotherapy, respectively. In addition, O. hupensis snail control with chemical treatment covered 116 475.10 hm² snail habitats across China in 2025, with an actual area with chemical control covering 68 510.93 hm² and an area with environmental improvements covering 1 101.84 hm². The national schistosomiasis surveillance results indicated that the mean prevalence of Schistosoma japonicum infections was both 0 among humans and bovines in 2025, and no S. japonicum infection was detected in O. hupensis snails. These data showed that the prevalence of schistosomiasis remained low in China in 2025; however, the area of O. hupensis snail habitats stayed high, with an increase in emerging and reemerging O. hupensis snail habitats. It is recommended to improve the surveillance and forecast mechanism for schistosomiasis and precisely implement the O. hupensis snail control programme in high-risk areas.

Objective To systematically reconstruct the evolution of schistosomiasis prevalence in China from 1950 to 2024, so as to fill the gap of national data on schistosomiasis prevalence in China before 1986. Methods Schistosomiasis control data were collected from schistosomiasis-endemic areas of China before 1986, which mainly included statistical data on schistosomiasis, compilations of control records, annual work reports, and academic papers. Data pertaining to the prevalence of schistosomiasis from each province (autonomous region, municipality) were collected and summarized annually, and integrated into national annual work reports for schistosomiasis control in China from 1986 to 2024 to build a national schistosomiasis epidemic database covering schistosomiasis patients, cattle with schistosomiasis, and Oncomelania hupensis snails. The provincial-level epidemic data of schistosomiasis were summarized annually from 1986 to 2024 with pivot tables, and then the national epidemic data of schis tosomiasis were summarized. The temporal trends in key epidemic indicators of schistosomiasis were analyzed in China from 1950 to 2024. Results A complete time-series dataset of schistosomiasis was established in China from 1950 to 2024 through systematic reconstruction of multi-source historical documents and materials. A total of 1.97 million newly detected schistosomiasis cases were recorded in China from 1950 to 2024, and the actual number of schistosomiasis patients was all more than 1 million each year from 1955 to 1978. There were only more than 20 000 advanced schistosomiasis patients in China by the end of 2024, and the prevalence of Schistosoma japonicum human infections reduced from 34.6% in 1950 to below 1.0% after 1996. A total of 2.47 million cattle were tested positive for schistosomiasis, and the prevalence of S. japonicum infections reduced from 21.4% in bovines since 1950. The area of emerging O. hupensis snail habitats was concentrated during the period between 1956 and 1958, accounting for 49.8% of total areas, while the area of emerging O. hupensis snail habitats significantly decreased since 1992, indicating a stable distribution pattern of O. hupensis snails. Data validation results showed that the cumulative variation in areas of O. hupensis snail habitats was 1.6%, and the cumulative variation in the number of schistosomiasis cases was 1.4%. Join-point regression analysis revealed four turning points in the prevalence of S. japonicum infections in humans and seven turning points in the prevalence of S. japonicum infections in livestock across China from 1955 to 2024. Conclusions Through the joint efforts of the Communist Party of China and government leadership, interdepartmental collaboration, professional teams, scientific and technological innovation, and public participation, the schistosomiasis epidemic has been effectively controlled in China following active control for more than 70 years. This study builds, for the first time, a complete time-series dataset on schistosomiasis in China, which provides insights into assessment of the effectiveness of schistosomiasis control programmes and refinement of the experience from schistosomiasis control programmes in China.

Objective To examine the impact of climate, land use and their interaction effect on the population density of Oncomelania hupensis. Methods O. hupensis snail surveillance data in Yunnan Province from 2013 to 2022 were obtained from the National Information System for Parasitic Diseases Prevention and Control of Chinese Information System for Disease Control and Prevention, and the density of living snails was calculated in each county-level administrative district. Climate data were obtained from the China Meteorological Forcing Dataset version 2.0, and land use data were captured from the China Land Cover Dataset. The raster climate data and land use data were clipped to the administrative border of Yunnan Province in the R package version 4.5, and the climate data were resampled to a spatial resolution of 30 m × 30 m consistent with the land use data using bilinear interpolation. Annual meteorological indicators were extracted from each county-level schistosomiasis surveillance administrative area in Yunnan Province from 2013 to 2022, including average temperature, maximum temperature, minimum temperature, temperature difference, average precipitation rate, maximum precipitation rate, minimum precipitation rate, downward shortwave radiation flux, downward longwave radiation flux, air pressure, wind speed, specific humidity and relative humidity. Annual land use structure and landscape pattern index in each county-level schistosomiasis surveillance administrative area in Yunnan Province from 2013 to 2022 were extracted and calculated, including the proportion of areas occupied by each type of land use, patch density, largest patch index, landscape separation index, landscape fragmentation index, landscape segmentation index, contagion index, patch cohesion index, edge density, and shape index. Land use entropy index was introduced to represent the degree of habitat fragmentation and ecological niche breadth. The density of living snails and environmental factors were subjected to rank correlation analysis, and variables with no statistically significant correlation (P>0.1) were excluded. Then, a correlation coefficient matrix was constructed, and |r_s| of 0.85 and greater was defined as the threshold of high collinearity. For highly correlated variables in each group, indicators with a more biological explanatory power or a better statistical efficiency were retained. A generalized additive model (GAM) was constructed with O. hupensis snail density as a response variable and screened environmental variables as independent variables, and the model performance was evaluated using the variance explained. Results The area occupied by O. hupensis snail habitats was 1 056 to 1 680 hm² in Yunnan Province from 2013 to 2022, appearing an overall tendency towards a decline; however, the density of living snails appeared a tendency towards a slight rise. Based on the correlation coefficient matrix, 14 core explanatory variables were retained, including farmland, water bodies, bare land, impervious surface, landscape separation index, landscape fragmentation index, edge density, shape index, land use entropy index, downward longwave radiation flux, downward shortwave radiation flux, maximum temperature, minimum precipitation rate and specific humidity. Two types of GAM were constructed, including the main-effects model without interaction terms and the interaction model with interaction terms. The corrected Akaike information criterion (AICc) of the optimal main-effects model was −285.223, and the core variables included bare land, impervious surface, landscape separation index, edge density, shape index, land use entropy index and downward shortwave radiation flux. Following introduction of second-order interaction terms, the AICc value of the optimal interaction model was −345.526, and the significant interaction combinations included: farmland × impervious surface, farmland × landscape separation index, farmland × shape index, farmland × land use entropy index, impervious surface × landscape separation index, impervious surface × edge density, and shape index × downward shortwave radiation flux. The proportion of the main-effects model explaining the variation of O. hupensis snail density was 39.8%, and the explanatory power of GAM increased to 79.0% following introduction of interaction terms. Conclusion Landscape separation index, edge density, shape index and other landscape pattern indicators pose significant impacts on the intensity and direction of changes in O. hupensis snail density in Yunnan Province.

OBJECTIVE To investigate the cognition， attitudes， and current practices of Chinese physicians regarding biosimilars and their clinical switching， so as to provide a basis for the rational clinical application of biosimilars in China and the improvement of related policies.METHODS A national cross-sectional online questionnaire survey was conducted in 2025. Quota sampling was adopted， with quotas based on physicians’ sex， city tier， and specialty. Questionnaire invitations were distributed to licensed physicians， and physicians who had prescribed monoclonal antibody biosimilars were included for analysis. The questionnaire covered their familiarity with biosimilars， attitudes， clinical switching practices， and reasons. Data were processed using reliability and validity tests， dispersion analysis， and cross-tabulation analysis.RESULTS The questionnaire scale showed good reliability and validity， with Cronbach’s α coefficient ＞0.7 and KMO value ＞0.6. A total of 2 071 survey invitations were distributed， and 300 valid questionnaires were returned， with an effective response rate of 14.5%. Among the respondents， 75.3% had prescribed 3-5 types of monoclonal antibody biosimilars； only 35.3% were aware that China currently has no clear regulatory provisions on biosimilar switching； 46.3% and 47.3% of respondents believed that there was no difference in safety and efficacy， respectively， between biosimilars and originator products； 63.0% of respondents were concerned about the immunogenicity risk of long-term switching between originator drugs and biosimilars. A total of 92.3% of respondents had experience with biosimilar switching， 87.7% of which involved switching from originator products to biosimilars， and 28.2% of respondents had completed three or more switches in the same patient. Among the primary reasons for switching， non-medical factors accounted for 57.4%， higher than medical factors at 42.6%； “lower treatment cost after switching” was the most important reason for switching； 95.3% of respondents believed that informed consent should be obtained from patients before switching.CONCLUSIONS The surveyed physicians had basic knowledge of biosimilars， but their understanding of the relevant regulations of the national drug regulatory authority was insufficient. Although most physicians were concerned about the risks of non-medical switching， clinical switching was mostly driven by non-medical factors. It is recommended to strengthen policy education for medical professionals and standardize clinical switching behavior. The National Medical Products Administration should also promptly improve the interchangeability review standards and post-marketing surveillance system for biosimilars, so as to promote the rational use of biosimilars.

Objective:To discuss the role of changes of serum total bile acid(TBA)levels induced by long-term high-fat diet in the occurrence of supraventricular arrhythmia(SVA)in the apolipoprotein E knockout(ApoE-/-)mice,and to clarify its mechanism.Methods:Twenty ApoE-/-mice were randomly divided into normal diet group and high-fat diet(HFD)group(n=10);after 20 weeks of feeding,surface electrocardiogram was used to detect cardiac electrophysiology of the mice in various groups;echocardiography was used to detect cardiac systolic function and structure in the mice in various groups;enzyme-linked immunosorbent assay(ELISA)was used to detect serum levels of blood lipids,total bile acid(TBA)and inflammatory factors in the mice in various groups;hematoxylin-eosin(HE)staining was used to detect cardiac inflammatory response in the mice in various groups;Masson staining was used to observe myocardial fibrosis degree in the mice in various groups.Results:Compared with normal diet group,4 cases of junctional premature beat(JPB)/junctional tachycardia(JT),1 case of premature atrial contraction(PAC)and 1 case of premature ventricular contraction(PVC)were found in HFD group,while only 1 case of JPB/JT and 1 case of PAC were found in normal diet group.Compared with normal diet group,the heart rate of the mice in HFD group was significantly decreased(P<0.05);the QRS and QT intervals were significantly prolonged(P<0.05);the ejection fraction(EF)and fractional shortening(FS)were significantly decreased(P<0.05);the end-diastolic volume(EDV)was increased(P<0.05),but there was no significant difference in end-systolic volume(ESV)between groups(P>0.05);the left ventricular internal diameter at end-diastole(LVIDd)and left ventricular internal diameter at end-systole(LVIDs)were significantly increased(P<0.05).There were no significant differences in plasma total cholesterol(TC),triglyceride(TG),high-density lipoprotein(HDL-c)and low-density lipoprotein(LDL-c)levels and body weight between normal diet group and HFD group(P>0.05).Compared with normal diet group,the TBA level of the mice in HFD group was significantly increased(P<0.05).There were no significant differences in interleukin-6(IL-6),tumor necrosis factor-α(TNF-α),monocyte chemoattractant protein-1(MCP-1),and C-X-C motif chemokine ligand 1(CXCL-1)levels between HFD group and normal diet group.Compared with normal diet group,the interleukin-1β(IL-1β)level in HFD group showed an increasing trend,but there was no significant difference between groups(P>0.05).The HE staining results showed that the inflammatory cell infiltration was similar between HFD group and normal diet group.The Masson staining results showed that compared with normal diet group,the fibrosis of the mice in HFD group showed an increasing trend,but there was no significant difference in myocardial fibrosis area between groups(P>0.05).Conclusion:Long-term high-fat diet may increase serum TBA level in ApoE-/-mice,which may induce SVA.

Leukemia is a malignant proliferative tumor that seriously endangers the quality of life of patients. In recent years, new research achievements have been made on the pathogenesis of leukemia, and some progresses of various drugs targeting the hypoxic microenvironment of leukemia have been made. This article reviews the progress of drugs targeting hypoxia microenvironment to treat leukemia from the aspects such as reactive oxygen species associated with anoxic microenvironment, hypoxia inducible factor, CXC chemokine receptor and vascular endothelial growth factor.

BACKGROUND:Remyelination in the central nervous system is a basic repair process triggered by demyelinating events,mainly through the proliferation,migration,and differentiation of oligodendrocyte precursor cells into oligodendrocytes.The process of remyelination is affected by many factors such as astrocytes,myelin debris,microglia,macrophages,endothelial cells,pericytes,T cells,and age.OBJECTIVE:Astrocytes play an important role in regulating synaptic activity,nutritional support,and tissue repair in the central nervous system.This review aims to provide potential therapeutic targets for demyelinating diseases of central nervous system by reviewing the role of astrocytes in remyelination.METHODS:A search was conducted on relevant literature collected from CNKI,PubMed,and Web of Science from 2014 tO 2024.The search terms were"astrocytes,oligodendrocyte precursor cells,remyelination"in both Chinese and English.Finally,66 articles were included after screening and summarized.RESULTS AND CONCLUSION:(1)The treatment of demyelinating diseases,such as multiple sclerosis,is limited to disease-modifying therapies,and there is no available method to overcome the failure of remyelination.Therefore,it is necessary to explore targets related to remyelination to promote myelin repair.(2)Remyelination is a process in which oligodendrocyte precursor cells proliferate,migrate,differentiate,and mature into oligodendrocytes,and the latter produce myelin to wrap axons to form myelin sheath.(3)Astrocytes regulate remyelination by phagocytosis of myelin debris,participating in inflammatory response,transforming into oligodendrocyte lineage cells,providing energy supply for oligodendrocyte lineage cells,releasing neurotrophic factors,and secreting extracellular matrix components.(4)The drugs screened in this paper use astrocytes and their derived factors as intervention targets to regulate the remyelination.Some drugs have satisfactory effects,but their effectiveness and safety still need more basic research and clinical trials to verify.(5)The mechanism of action of astrocytes in remyelination has not been fully elucidated,and the related molecular targets and signaling pathways can be further studied.

Objective To investigate the therapeutic effects and mechanisms of Xuefu Zhuyu Mixture(XFZY)in rats with coronary heart disease(CHD).Methods A CHD rat model was established.Successfully modeled rats were randomly divided into five groups(n=12 each):model group,Lipitor group,low-dose XFZY group(7.02 g·kg-1·d-1),high-dose XFZY group(14.04 g·kg-1·d-1),and high-dose XFZY+RS09[Toll-like receptor 4(TLR4)agonist]group(14.04 g·kg-1·d-1 XFZY+intraperitoneal RS09),with an additional normal control group(n=12).After treatment,following treatment completion,all rats underwent echocardiography to assess left ventricular end-diastolic diameter(LVDd),end-systolic diameter(LVDs),ejection fraction(LVEF),and fractional shortening(FS).Myocardial histopathology and vascular remodeling indices were evaluated via hematoxylin-eosin(HE)staining,while myocardial fibrosis was examined using Masson's trichrome staining.Enzyme-linked immunosorbent assay(ELISA)was employed to quantify inflammatory cytokine levels[tumor necrosis factorα(TNF-α),interleukin(IL)-1β,and IL-6]in myocardial tissues.Immunohistochemical analysis determined protein expression of B-cell lymphoma-2(Bc12)and Caspase 3 in myocardial tissues.Western Blot was performed to measure myocardial protein expression levels of TLR4,phosphatidylinositol 3-kinase(PI3K),phosphorylated protein kinase B(p-AKT),total AKT,phosphorylated mammalian target of rapamycin(p-mTOR),and total mTOR.Results Compared with the normal group,rats in the model group exhibited severe myocardial tissue damage,along with significantly elevated collagen volume fraction,LVDs,LVDd,myocardial levels of IL-6,TNF-α and IL-1β,cardiomyocyte apoptosis ratio,aortic media thickness,and protein expression of Caspase 3,TLR4,PI3K,p-AKT/AKT and p-mTOR/mTOR in myocardial tissue(P＜0.05).Conversely,LVEF,FS,aortic luminal diameter,and Bcl-2 protein content were significantly reduced,the difference being statistically significant(P＜0.05).Compared to the model group,both low-and high-dose XFZY groups as well as the Lipitor group demonstrated attenuated myocardial lesions,with significant reductions in collagen volume fraction,LVDs,LVDd,myocardial IL-6,TNF-α,IL-1β levels,cardiomyocyte apoptosis ratio,aortic media thickness,and protein expression of Caspase 3,TLR4,PI3K,p-AKT/AKT and p-mTOR/mTOR(P＜0.05).Concurrently,LVEF,FS,aortic luminal diameter,and Bcl-2 protein content were significantly increased,the difference being statistically significant(P＜0.05).No statistically significant differences were observed between the high-dose XFZY group and the Lipitor group for any aforementioned parameters(P＞0.05).However,rats treated with high-dose XFZY plus RS09 showed aggravated myocardial injury with manifested interstitial fibrosis,alongside significantly intensified inflammatory response,cardiomyocyte apoptosis,and vascular remodeling compared to the high-dose XFZY alone group(all P＜0.05).Conclusion XFZY alleviates CHD symptoms by suppressing TLR4/PI3K/AKT/mTOR pathway activation,thereby reducing myocardial inflammation,fibrosis,apoptosis,and vascular remodeling.