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.

ObjectiveTo explore the efficacy and mechanism of Euphorbia humifusa on acute kidney injury （AKI） based on network pharmacology， molecular docking and experimental verification. MethodsThe active components and targets of E. humifusa were retrieved from TCMSP and SwissTargetPrediction database， and the AKI targets were screened by GeneCards and Online Mendelian Inheritance in Man（OMIM） databases. The drug targets and disease targets were intersected to construct a protein-protein interaction network， and the intersection targets were subjected to gene ontology （GO） and Kyoto encyclopedia of genes and genomes （KEGG） enrichment analysis. Discover Studio software was used to verify the molecular docking of key components and core targets. Gentamicin （GM） was used to induce AKI rat model. Control group， model group， verapamil （16 mg·kg^-1） group， E. humifusa extract （18， 54， 162 mg·kg^-1·d^-1） group and E. humifusa 70% ethanol extract （423 mg·kg^-1） group were continuously administered for 14 days. Urine volume was detected 24 h after modeling and administration. Serum creatinine （SCr）， Blood urea nitrogen （BUN）， 24-hour urine protein （24 hUTP） and uric acid （UA） content； the contents of malondialdehyde （MDA）， glutathione （GSH）， superoxide dismutase （SOD）， carbon monoxide synthase （NOS） and lactate dehydrogenase （LDH） in kidney were measured. The levels of interleukin （IL）-6 and tumor necrosis factor （TNF）-α in serum were detected by enzyme linked immunosorbent assay（ELISA） kit. The pathological changes of renal tissue were detected by hematoxylin-eosin （HE） and Masson staining. Western blot was used to detect the expression of PI3K/protein kinase B（Akt）/NF-κB signaling pathway-related proteins. ResultsIn this study， 13 active components such as kaempferol， luteolin， apigenin， gallic acid and quercetin were screened and identified from E. humifusa. Through bioinformatics analysis， these components and AKI have a total of 289 targets， of which 62 are core targets， including Akt1， TNF， tumor protein p53（TP53） and IL-1β. These targets are mainly involved in the regulation of biological processes such as NF-κB signaling pathway， HIF-1 signaling pathway， TNF signaling pathway， PI3K/Akt signaling pathway and mitogen-activated protein kinase（MAPK） signaling pathway. In animal experiments， we successfully constructed a GM-induced AKI model in rats. Compared with the model group， E. humifusa extract could significantly reduce the levels of 24 hUTP， BUN and SCr in rats （P<0.01）， indicating its improvement effect on renal function. In addition， the extract of E. humifusa also significantly reduced LDH activity and MDA content in rat kidney tissue （P<0.05， P<0.01）， and significantly increased SOD， NOS activity and GSH content （P<0.05）， indicating that the extract of E. humifusa has the potential of anti-oxidation and protection of renal function. Further analysis of inflammatory factors showed that the levels of IL-6 and TNF-α in serum of rats treated with E. humifusa extract were significantly decreased （P<0.01）， indicating that E. humifusa extract had anti-inflammatory effects. In addition， the extract of E. humifusa can also regulate the protein expression of PI3K/Akt/NF-κB signaling pathway， which further confirmed its mechanism of reducing GM-induced AKI. ConclusionThe extract of E. humifusa has a significant therapeutic effect on acute kidney injury through its multi-component and multi-target mechanism. Its effect is reflected in improving renal function， anti-oxidation， anti-inflammation and regulating immune response. These findings provide a scientific basis for the application of E. humifusa in the treatment of acute kidney injury， and point out the direction for future drug development and clinical research.

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 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 incidence and influencing factors of new onset suicidal behaviors among junior and senior high school students, so as to provide evidence for early warning and intervention. Methods: Using a cluster sampling method, baseline data were collected from September to November 2023 among 2 379 adolescents selected from 2 junior high schools, 2 general senior high schools and 2 vocational senior high schools in Wuhan, Hubei Province, with follow up carried out from September to November 2024. Data were collected using the School Adaptation Scale, the Essential Resilience Scale, the Personal Social Support Scale, the Adverse Childhood Experiences Questionnaire, the Adolescent Life Events Scale, the Pittsburgh Sleep Quality Index, the Center for Epidemiologic Studies Depression Scale, and the Columbia-Suicide Severity Rating Scale. Multivariate Logistic regression analysis was used to identify factors influencing new onset suicidal behavior among junior and senior high school students. Results: Among junior and senior high school students without suicide risk at baseline, 53.55% remained stable risk free during follow up, while 13.28% developed new suicidal behavior during follow up, of which suicidal ideation, suicide plan and suicide attempts accounted for 11.69%, 8.83% and 6.52%, respectively. Multivariate Logistic regression revealed that increased depressive symptoms at follow up elevated the risk of overall new onset suicidal behaviors ( OR =4.14), ideation ( OR = 4.59), plans ( OR =4.24), and attempts ( OR =4.09); poor sleep quality also increased the risk of overall new onset suicidal behaviors ( OR =2.23), plans ( OR =2.03), and attempts ( OR =2.65) (all P <0.05). Non boarding junior and senior high school students had lower risks of overall new onset suicidal behaviors and ideation ( OR=0.70 and 0.49, respectively); secondary school students with academic performance ranking in the top 20%-30% of their class had a lower risk of new onset ideation ( OR =0.27); and those whose place of origin was outside the city had a lower risk of new onset plans ( OR =0.49) (all P <0.05). Conclusions New onset suicidal behaviors among junior and senior high school students exhibit dynamic and stage specific differences. Depressive symptoms serve as a common core risk factor across all stages, whereas sleep quality, academic performance, boarding status, and place of origin exert differential influences at distinct stages.

Objective To analyze the characteristics and drug resistance of pathogenic bacteria isolated from patients undergoing solid organ transplantation(SOT)at West China Hospital,Sichuan University in re-cent years,in order to provide a basis for empirical anti infective treatment after SOT surgery.Methods A retrospective analysis was conducted on the isolation of major pathogens and their resistance to common anti-biotics from various specimens collected from patients undergoing kidney transplantation(KT),liver trans-plantation(LTx),and lung transplantation(LT)at West China Hospital,Sichuan University from 2017 to 2022.Results A total of 1 077 non-duplicate strains of pathogens were isolated from the samples of patients with infections after SOT surgery during the 6-year period,of which approximately 74.8％(806/1 077)were Gram negative bacteria and 25.2％(271/1 077)were Gram positive bacteria.There were differences in the distribution of pathogenic bacteria among different types of SOT groups and different specimens.Compared to E.coli isolated from urine specimens,the strains of E.coli isolated from non-urinary specimens exhibited a higher resistance rate to common antimicrobial drugs(P＜0.05).The resistance rate of E.coli to β-lactam/β-lactamase inhibitor combinations(cefoperazone/sulbactam and piperacillin/tazobactam)in the LTx group was significantly higher than that in the KT group(P＜0.05).The overall proportion of multidrug-resistant bac-teria after SOT surgery was 11.3％(122/1 077).The proportion of carbapenem resistant Acinetobacter bau-mannii and carbapenem resistant Pseudomonas aeruginosa among the same group and type of pathogens in the LTx group(93.8％,37.5％)was significantly higher than that in the KT group(55.8％,9.2％).Conclusion The specimen types and strain distribution of pathogenic bacteria after different types of SOT surgery are different.The same pathogenic bacteria have different antibiotic resistance among different types of SOT groups and specimens.Therefore,it is necessary to strengthen the pathogen examination after different types of SOT and optimize the anti infection treatment plan related to transplantation based on drug sensitivity re-sults.

Objective:To establish the HPLC fingerprints and multi-component content determination method of Yinchen Wuling Powder; To evaluate the quality of Yinchen Wuling Powder combined with chemical pattern recognition technology.Methods:A wavelength-switching HPLC method was used to establish the fingerprint profiles of different batches of Yinchen Wuling Powder and determine the contents of seven components of neochlorogenic acid, chlorogenic acid, isochlorogenic acid B, isochlorogenic acid A, isochlorogenic acid C, cinnamic acid, cinnamaldehyde. Principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were applied to evaluate the quality. Quality difference biomarkers were screened.Results:The fingerprint profiles of 24 batches of Yinchen Wuling Powder were identified with 20 common peaks, and 7 components were recognized. The similarity between the 24 batches of samples and the control profile was 0.966-0.994, and the attribution analysis showed that peaks 1, 2, 3 were common to Artemisia Scoparia and Alismatis Rhizoma. Chromatographic peaks 4 (neochlorogenic acid), 5, 6, 7 (chlorogenic acid), 8, 9, 10, 11, 12, 13, 14 (isochlorogenic acid B), 15 (isochlorogenic acid A), 16 (isochlorogenic acid C), and 19 were from Artemisia Scoparia, and peaks 17, 18 and 20 were from Cinnamomi Ramulus. Principal component analysis classified the 24 batches of samples into 4 categories, and partial least squares discriminant analysis was used to determine 11 quality difference biomarkers, including isochlorogenic acid B and neochlorogenic acid.Conclusions:The established method of determining fingerprint and multi-component content is accurate and with good repeatability. The results can provide a certain basis for the quality evaluation of Yinchen Wuling Powder.

[Purpose]To analyze the lifetime risk of developing and dying from lung cancer at global and regional levels.[Methods]Data of lung cancer incidence and mortality were obtained from GLOBOCAN 2022 and the population and all-cause mortality data were obtained from the United Nations.The lifetime risk of developing and dying from lung cancer globally and across different regions was estimated by multiple primary adjustment method.[Results]The global lifetime risk of developing lung cancer was 3.59％[95％confidence interval(CI):3.58％～3.59％],ranking third among all cancer types.There were significant gender and regional differences in lifetime risk values.The risk for male was 4.43％(95％CI:4.42％～4.44％),which was higher than that for female(2.71％,95％CI:2.70％～2.72％),with a male-to-female ratio of 1.63.Among regions with varying human development index(HDI)levels,the risk increased with HDI levels,in very high HDI re-gions risk was 5.36％(95％CI:5.34％～5.37％),while in low HDI regions the risk was 0.34％(95％CI:0.33％～0.34％).Among the 20 global regions,East Asia had the highest lifetime risk of 7.53％(95％CI:7.52％～7.55％),while West Africa had the lowest risk of 0.16％(95％CI:0.16％～0.17％).The global lifetime risk of dying from lung cancer was 2.78％(95％CI:2.78％～2.78％),ranking the first among all cancer types.There were significant sex and regional differ-ences in lifetime death risk values.The risk for male was 3.64％(95％CI:3.63％～3.64％),which was higher than that for female(1.89％,95％CI:1.89％～1.90％),with a male-to-female ratio of 1.93.Among regions with varying HDI levels,the risk increased with HDI levels,in very high HDI re-gions the risk was 3.98％(95％CI:3.97％～3.99％),while in low HDI regions the risk was 0.31％(95％CI:0.31％～0.31％).Among the 20 global regions,the Federated States of Micronesia/Poly-nesia had the highest death risk of 5.80％(95％CI:4.98％～6.62％),while West Africa had the lowest risk of 0.15％(95％CI:0.15％～0.16％).The lifetime risk of developing and dying from lung cancer in China was 7.54％(95％CI:7.52％～7.56％)and 5.88％(95％CI:5.87％～5.90％),respec-tively,both ranking the first among all cancer types.[Conclusion]The lifetime risk of developing and dying from lung cancer remains high globally and across different regions,with a particularly heavy burden in high-HDI areas.In China,both the lifetime risk of developing and dying from lung cancer are higher than the global average.This highlights the need for continued enhance-ment of comprehensive prevention and control measures,including addressing lung cancer-related risk factors,as well as improving screening,early diagnosis,and treatment efforts to reduce the lung cancer burden.

Objective:To investigate the application of Galectin-9 and Pentraxin3 in cardiotoxicity assessment during anthracycline chemotherapy in breast cancer patients.Methods:A total of 143 breast cancer patients who received anthracycline chemotherapy in Department of Breast, Shanxi Provincial People’s Hospital from Oct. 2021 to Oct. 2023 were separated into cardiotoxic group ( n=47) and non-cardiotoxic group ( n=96) according to whether cardiotoxicity occurred. Clinical data of patients were collected and the risk factors of cardiotoxicity were analyzed by univariate and multivariate Logistic regression. The predictive efficacy of serum Galectin-9 and Pentraxin3 levels on cardiotoxicity was evaluated by receiver operating characteristic curve (ROC) . Results:There was no statistically significant difference in age, body mass index, total cholesterol, triglycerides, low density lipoprotein, high density lipoprotein, smoking history, drinking history, underlying disease (hypertension, diabetes, hyperlipidemia) , tumor stage, pathological type, tumor size, anthracycline type, or dose between the two groups ( t=1.07, 1.22, 0.96, 0.43, 1.07, 0.50; χ 2=0.12, 1.20, 0.14, 0.01, 0.47, 0.14, 3.32, 3.83, 1.91, 3.18, P > 0.05) ; The levels of troponin and B-type brain natriuretic peptide in cardiotoxicity group were higher than those in non-cardiotoxicity group ( t=13.48, 10.28, P < 0.05) , and serum Galectin-9 and Pentraxin3 levels were also higher ( t=22.53, 17.92, P < 0.05) . Multivariate Logistic regression analysis showed that high levels of troponin, B-type brain natriuretic peptide, Galectin-9 and Pentraxin3 were all influential factors in the occurrence of cardiotoxicity ( OR=2.221, 2.050, 1.925, 1.976, P < 0.05) . ROC curve analysis showed that the area under curve of serum Galectin-9 for predicting cardiotoxicity was 0.722, the predictive sensitivity was 68.09%, and the specificity was 77.08%; The area under the curve of miR-135 for predicting cardiotoxicity was 0.636, the predictive sensitivity was 44.68%, and the specificity was 82.29%. Conclusion:Serum Galectin-9 and Pentraxin3 have high expression levels in breast cancer patients treated with anthracyclines, which are influential factors for the occurrence of cardiotoxicity after chemotherapy, and have high predictive value for the occurrence of cardiotoxicity in patients.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.