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 investigate the correlation between insulin resistance and interleukin-6 (IL-6), chemerin, total cholesterol (TC)/high density lipoprotein cholesterol (HDL-C) ratio, triglyceride (TG)/HDL-C ratio, low density lipoprotein cholesterol (LDL-C)/HDL-C ratio and insulin resistance in obese patients with type 2 diabetes mellitus (T2DM), and to provide scientific basis for T2DM prevention and control. Methods A total of 355 obese T2DM patients in Songjiang Hospital Affiliated to Shanghai Jiaotong University School of Medicine were selected from January 2021 to December 2023. IL-6, chemerin and lipids were detected, and the assessment of insulin resistance was conducted through the homeostasis model assessment of insulin resistance (HOMA-IR). Results Among the 355 obese T2DM patients, there were 280 cases of insulin resistance, with the incidence rate of 78.87%. The BMI, IL-6, chemerin, TC/HDL-C, LDL-C/HDL-C, and TG/HDL-C in the insulin resistance group were higher than those in the non-insulin resistance group (P<0.05). The above insulin resistant patients were divided into 4 subgroups by means of insulin resistance, and there were significant differences in BMI, IL-6, chemerin, and TG/HDL-C among the subgroups (P<0.05). IL-6, chemerin, and TG/HDL-C were positively correlated with HOMA-IR in obese T2DM patients (P<0.05), while TC/HDL-C and LDL-C/HDL-C had no significant correlation with HOMA-IR (P>0.05). BMI, IL-6, chemerin, and TG/HDL-C were all influencing factors of insulin resistance in obese T2DM patients (P<0.05). Conclusion IL-6, chemerin and TG/HDL-C are correlated with insulin resistance in obese patients with T2DM and are influencing factors for the occurrence of insulin resistance.

Mitofusin 2 (MFN2) residing on the outer mitochondrial membrane is a pivotal factor participating in mitochondrial fusion and maintaining mitochondrial morphology. Due to its multifaceted cellular functions, MFN2 is implicated in the pathogenesis of diverse maladies, notably type 2 Charcot-Marie-Tooth disease, which has catalyzed a surge in pharmaceutical endeavors directed towards MFN2. This article reviews the function of MFN2 and its role in a variety of diseases, outlines the current status of drug discovery against MFN2, and summarizes potential drug molecules currently in preclinical research, aiming to provide some reference for the research and development of drugs and therapies targeting MFN2.

To understand the progress of, summarize the lessons learned from and analyze the challenges in the national schistosomiasis elimination program of China in 2024, this article presented the endemic situation of schistosomiasis and national schistosomiasis surveillance results in the People’s Republic of China in 2024. By the end of 2024, Shanghai Municipality, Zhejiang Province, Fujian Province, Guangdong Province and Guangxi Zhuang Autonomous Region continued to consolidate schistosomiasis elimination achievements, and 7 provinces of Jiangsu, Sichuan, Yunnan, Hubei, Hunan, Anhui and Jiangxi maintained the criteria of schistosomiasis transmission interruption. A total of 450 counties (cites, districts) were found to be endemic for schistosomiasis in China in 2024, including 26 061 endemic villages covering 73 630 500 residents at risk of infections. Among the 450 counties (cities, districts) endemic for schistosomiasis, 388 (86.22%) achieved the criteria of schistosomiasis elimination and 62 (13.78%) achieved the criteria of transmission interruption. In 2024, a total of 4 102 624 individuals received immunological tests for schistosomiasis in China, with 44 823 sero-positives identified (1.09% seroprevalence), and a total of 169 722 individuals received parasitological examinations, with 1 egg-positives detected. A total of 27 321 cases with advanced schistosomiasis were documented in China by the end of 2024. In 2024, a total of 575 686 bovines were raised in schistosomiasis-endemic villages of China, and 113 842 bovines received immunological tests, with 235 sero-positives detected (0.21% seroprevalence), while no egg-positives were identified among the 167 475 bovines receiving parasitological examinations. In 2024, snail survey was performed covering an area of 680 498.27 hm² in China, and 190 778.66 hm² snail habitats were identified, including 59.09 hm² emerging snail habitats and 704.23 hm² reemerging snail habitats. In 2024, a total of 19 665 schistosomiasis patients receiving chemotherapy with praziquantel in China, and expanded chemotherapy was given to humans at 571 722 person-times and to bovines at 306 740 herd-times. In addition, snail control with chemical treatment covered 117 111.37 hm² snail habitats across China in 2024, and the actual area of chemical treatment was 66 562.95 hm², while environmental improvements were performed in snail habitats covering an area of 1 374.26 hm². The national schistosomiasis surveillance results showed that the mean prevalence rates of Schistosoma japonicum infections were both 0 among humans and bovines in China in 2024, and no S. japonicum infection was detected in snails. These data demonstrated that the prevalence of schistosomiasis remained at a low level in China in 2024; however, the areas of snail habitats remained high and the number of fenced cattle showed a slight increase. To address these risks, it is imperative to maintain the integrated strategy with an emphasis on management of the source of S. japonicum infection and intensified snail control in high-risk areas, and to reinforce schistosomiasis surveillance and forecast and snail control in high-risk areas.

Objective To construct a surgical pharmaceutical risk management index system and then to enhance surgi-cal pharmaceutical service quality.Methods Literature research and consulting pharmaceutical experts were used to collect relevant data and construct initial scale items.The Delphi expert consultation method was used to revise and improve indicators with 20 experts,after 2 rounds of inquiry improvement.The analytic hierarchy process(AHP)was used to calculate the weight of each indicator,finally forming the surgical pharmaceutical risk management index system.Results The final construction of the scale entries includes four dimensions,14 second-grade indexes,and 71 third-grade indexes.The questionnaire response rates were 100.00％,while the authority coefficient of experts was 0.832.In the consultation,the harmony coefficients of the first,second,and third indicators were 0.743,0.491,and 0.277,respectively.The AHP was used to determine the weights of indicators,and the re-sult passed the consistency test.The professional factors and pharmacist factors of the first indicators are large in weight.Con-clusion The constructed surgical pharmaceutical risk management index system is scientific and practical,which can provide a reference for the clinical work of surgeons and maximize the risk of avoidance.

Objective:To analyze the relationship among thyroid autoimmunity (TAI), thyroid function, and gestational diabetes mellitus (GDM) in early pregnant women in Xi'an.Methods:A prospective study included pregnant women who underwent prenatal check-ups at the Northwest Women's and Children's Hospital from November 2020 to October 2021, with a gestational age of 6 to 14 weeks. Thyroid function, thyroid peroxidase antibody (TPOAb), thyroglobulin antibody (TgAb), and urinary iodine levels were measured, and the prevalence of thyroid disease and GDM was monitored. The subjects were divided into four groups: TPOAb positive only, TgAb positive only, both TPOAb and TgAb positive, and both TPOAb and TgAb negative, to compare the differences in the prevalence of thyroid disease and GDM among the groups. Statistical analysis was performed using Kruskal-Wallis rank-sum test, Bonferroni correction, Chi-square test, and a multivariate logistic regression model was used to analyze the relationship between TAI, thyroid disease, and GDM. Results:A total of 20 243 early pregnant women were included in this study, among which 1 615 (7.98%) were positive for TPOAb only; 865 (4.27%) were positive for TgAb only; 1 672 (8.26%) were positive for both TPOAb and TgAb (both positive group); and 16 091 (79.49%) were negative for both TPOAb and TgAb (both negative group). The thyroid stimulating hormone levels in the TPOAb positive only group, TgAb positive only group, and both positive group were significantly higher than those in the both negative group, respectively (Bonferroni correction, all P<0.05); the free thyroxine level in the TPOAb positive only group was significantly lower than that in the both negative group ( P<0.05). After adjusting for age, pre-pregnancy body mass index, and urinary iodine levels, multivariate logistic regression analysis showed that compared to the both negative group, the risk of developing hypothyroidism during pregnancy was significantly increased in the both positive group ( OR=11.49, 95% CI: 2.84-46.39); the risk of developing subclinical hypothyroidism during pregnancy was significantly increased in the TgAb positive only group ( OR=1.99, 95% CI: 1.05-3.76) and the both positive group ( OR=3.74, 95% CI: 2.49-5.63); the risk of developing GDM was significantly increased in the TgAb positive only group ( OR=1.43, 95% CI: 1.04-1.96) and the both positive group ( OR=1.94, 95% CI: 1.53-2.46). Among early pregnant women with normal thyroid function, after adjusting for age, pre-pregnancy body mass index, and urinary iodine levels, multivariate logistic regression analysis showed that compared to the both negative group, the risk of developing GDM was significantly increased in the TgAb positive only group ( OR=1.46, 95% CI: 1.06-2.02) and the both positive group ( OR=1.80, 95% CI: 1.40-2.32). Conclusion:TgAb positive only is a risk factor for subclinical hypothyroidism and GDM. Screening for thyroid autoantibodies, especially TgAb, during pregnancy helps in the early identification of high-risk pregnant women for thyroid dysfunction and GDM.

The host-microbe co-metabolism system, generating diverse exogenous and endogenous bioactive molecules that influence the host's immune and metabolic functions, plays a crucial role in the pathogenesis of atherosclerosis. Recent studies have elucidated the interaction between natural medicines and this co-metabolism system. Upon oral administration, natural medicine ingredients can undergo transformation by gut microbiota, potentially enhancing their bioavailability or anti-atherogenic efficacy. Furthermore, natural medicines can exert anti-atherogenic effects via modulation of endogenous host-microbe co-metabolism. This review presents an updated understanding of the dual association between natural medicines and host-microbe co-metabolites. It explores the critical function of microbial exogenous metabolites derived from natural medicines and uncovers the mechanisms underlying natural medicines' intervention on key nodes of endogenous host-microbe co-metabolism. These insights may offer new perspectives for cardiovascular disease (CVD) treatment and guide future drug discovery efforts.
Humans ; Atherosclerosis/metabolism* ; Gastrointestinal Microbiome/drug effects* ; Biological Products/therapeutic use* ; Animals ; Host Microbial Interactions/drug effects*

LC-MS/MS methods for the quantitative determination of mecobalamin and ceftriaxone in rat plasma were established, and utilized to assess the pharmacokinetic behaviors of the two drugs in rats and to determine whether there were pharmacokinetics-based drug-drug interactions between them. Methanol was used as a protein precipitant to process rat plasma samples. For mecobalamin, acetonitrile containing 0.1% formic acid was used as the organic phase, while an aqueous solution of 0.1% formic acid and 2 mmol/L ammonium acetate served as the aqueous phase. For ceftriaxone, the organic phase was acetonitrile with 0.1% formic acid, and the aqueous phase was a 1% formic acid aqueous solution. LC-MS/MS quantitative analysis methods for both drugs were developed under the positive ion mode, followed by comprehensive methodological validation. Single-dose administration (either alone or in combination) was carried out via caudal vein injection. The dosing regimens were 0.03, 0.1, and 0.3 mg/kg for mecobalamin and 90 mg/kg for ceftriaxone. The results of methodological validation indicated that mecobalamin exhibited good linearity in the range of 3−3000 ng/mL (r = 0.9991), and ceftriaxone showed excellent linearity in the range of 0.5~500 μg/mL (r = 1). The selectivity, precision, accuracy, extraction recovery, matrix effect, and stability of the analytical methods for both substances met the relevant requirements. The pharmacokinetic study revealed that, compared with single-drug administration, the average plasma concentration-time profiles of the two drugs almost overlapped during single-dose combined administration. Statistical analysis, specifically one-way analysis of variance, demonstrated no significant differences in major pharmacokinetic parameters (t1/2, AUC0−∞, etc.) (P > 0.05). This study confirmed that no pharmacokinetic-based drug-drug interactions occurred when mecobalamin and ceftriaxone were co-administered in rats. The findings of this research offer a reliable pharmacokinetic foundation for the rational clinical co-use of these two drugs, thus providing valuable insights into optimizing therapeutic strategies.

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.

Objective To investigate the association between the Chinese visceral adiposity index (CVAI) and diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension among elderly people in Hebei Province. Methods In 2020, a stratified multi-stage random sampling was used to conduct questionnaire survey, physical examination and laboratory detection among permanent residents of 10 monitoring sites in Hebei Province. Logistic regression was used to analyze the association between CVAI and diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension. The area under the ROC curve (AUC) was used to evaluate the predictive value of CVAI for diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension. Results The detection rates of diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension were 19.8%, 74.6%, 78.2%, and 16.2%, respectively. Multivariate logistic regression analysis showed that compared with the lowest quartile of CVAI group Q1, the OR (95% CI) of diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension in the highest quartile Q4 group were 3.55 (2.58~4.89), 2.52 (1.92~3.31), 3.09 (2.31~4.12), and 4.92 (3.40~7.12), respectively. The ROC curve results showed that CVAI had the best predictive value in the diagnosis of diabetes with hypertension, and the optimized critical values in males and females were 128.54 and 141.88, respectively. Conclusion The detection rates of diabetes mellitus and hypertension are high in the elderly population in Hebei Province. CVAI is positively associated with the risk of diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension among the elderly in Hebei. CVAI has the strongest prediction ability for diabetes with hypertension.