Objective:To evaluate the effectiveness of health education and health promotion for coal-burning pollution-induced endemic fluorosis (coal-burning fluorosis) in Ankang City, Shaanxi Province, and provide reference for further developing health education and health promotion measures.Methods:From 2020 to 2023, one county (district) was selected as the project county in coal-burning fluorosis area of Ankang City each year, and 3 to 5 towns of each project county were selected as the project town. Health education and health promotion activities on coal-burning fluorosis were carried out for department heads, endemic disease propaganda workers of project county, and students in grades 4 to 6 from center primary schools, local residents and migrant workers of all affected villages of project county. Before and after the implementation of health education and health promotion projects, 30 to 45 primary school students and 30 local residents from each project town were selected to conduct a questionnaire survey on the prevention and control knowledge of coal-burning fluorosis every year, and a household survey was conducted to investigate the prevalence and changes of specific behaviors of local residents who open their stoves.Results:From 2020 to 2023, the coverage rate of intervention activities for department heads, endemic disease propaganda workers, and primary school students in the project county was 100%; the coverage rate of intervention activities for local residents in the project county was 94.44% (18 271/19 346), and for migrant workers was 97.86% (8 683/8 873). The awareness rate of prevention and control knowledge of coal-burning fluorosis among primary school students and local residents after health education and health promotion in each year was significantly higher than those before health education and health promotion ( P < 0.001), and showed an increasing trend year by year (χ 2trend = 36.73, 38.47, P < 0.001). From 2020 to 2023, a total of 420 local residents were surveyed, and 110 people used open stoves. The prevalence rate of specific behaviors was 26.19%, and it showed a decreasing trend year by year (χ 2trend = 0.29, P < 0.001). After health education and health promotion, the number of people who changed their behavior during a certain period was 106, and the specific behavior change rate was 96.36% (106/110). Conclusions:The health education and health promotion on coal-burning fluorosis in Ankang City has achieved significant results. In the future, we should continue to increase investment in health education and health promotion, continuously improve the long-term mechanism of endemic disease health education and health promotion, innovate health education models, further improve the effectiveness of health promotion, and consolidate the achievements of prevention and control.

Aim To investigate the effect of total gly-cosides of peony on Th17/Treg balance in autoimmune thyroiditis(AIT)by regulating miR-155 expression.Methods Sixty female SD rats were randomly divided into a blank control group,a model group,high-dose,medium,and low-dose groups of total glycosides of peony,and a Western medicine control group(seleni-um yeast group).After eight weeks of modeling,the pathological changes in thyroid tissue were observed by HE staining,the expression of miR-155 in the thyroid of rats was detected by RT-PCR,the targeting effect of miR-155 on SOCS1 was verified by dual luciferase method,and the levels of TGAb,TPOAb,IL-10,and IL-17 in peripheral serum were detected by ELISA,the expression of thyroid SOCS1 was detected by WB,and the proportion of Th17 and Treg in CD4+cells of the spleen was detected by flow cytometry.Results Com-pared with the blank group,the expression of miR-155 in the thyroid gland of the model group rats significant-ly increased,and the serum levels of TGAb,TPOAb,and IL-17 significantly increased,with an increase in the proportion of Th17;the IL-10 level significantly decreased,the proportion of Treg decreased,and the expression of SOCS1 protein decreased,with statistical significance(P＜0.01);compared with the model group,the high,medium,and low dose groups of total glycosides of peony and selenium yeast groups showed a decrease in miR-155 expression,a decrease in TGAb,TPOAb,IL-17 levels,a decrease in Th17 pro-portion,an increase in IL-10 level,an increase in Treg proportion,and an increase in SOCS1 expression,all with statistical significance(P＜0.01).Moreover,the improvement in the medium dose group of total glyco-sides of peony was more significant.Conclusion To-tal glycosides of peony downregulate miR-155 expres-sion,regulate Th17/Treg balance,alleviate inflamma-tory response,and exert immune regulatory effects.

The molecular mechanisms underlying the develop-ment and metastasis of prostate cancer remain elusive.This comprehensive review delves into the intricate role of cofilin,an actin-binding protein,in the pathogenesis and progression of prostate cancer.Cofilin is a significant protein in cytoskeletal dynamics,and any dysregulation may result in the morphological changes in normal cells and the invasion and metastasis of tumor cells.Research has revealed that the activity of cofilin is regula-ted by various mechanisms,including phosphorylation/dephos-phorylation and interactions with other molecules.Moreover,this review discusses promising therapeutic interventions,such as co-filin inhibitors and gene therapy,which have demonstrated effica-cy in preclinical models.The challenge of clinically preventing the transition to castration-resistant prostate cancer and tumor metastasis is widely recognized,necessitating the development of precise drug treatments and biomarker identification.As a key regulatory protein,cofilin provides a more comprehensive refer-ence for the prevention and treatment of prostate diseases.

Objective To develop a novel protective ventilator circuit component and to verify its performance by water seal and anti-splash experiments.Methods A novel protective ventilator circuit component had a design scheme with the multifunctional joint,and consisted of a tee connection tube,an isolation sleeve and a stop sleeve,of which,the tee connection tube was made of polyethylene polymer material and the others were made of silicone material.The tee connection tube had a T-shaped structure with two standard connection ports,which was composed of an adapter,a sealing cap,a plug and a sealing ring;the isolation sleeve was in the shape of a cylinder with a raised bottom,which was inserted into the adapter;the stop sleeve was located in the isolation sleeve,with an inverted frustum of a cone at the bottom and a rounded hole in the middle of the inverted frustum.An open ventilator circuit tube was involved in the performance verification of the circuit component developed.In the water seal experiment,sputum aspiration was simulated and the heights of the liquid level drop in the L-shaped tubes were compared after sputum aspiration.In the anti-splash experiment,the infection rates on the surfaces of the sterile hole towels and gloves were calculated.Results Water seal experiment showed after sputum aspiration the open ventilator circuit tube had the liquid level at the L-shaped tube higher significantly than that of the circuit component;the anti-splash experiment indicated sputum aspiration resulted in the occurance of the splashing out of the secretion and 77.5%infection rate by the open ventilator circuit tube,while no splashing out and 0%infection rate by the circuit component developed.Conclusion The novel protective ventilator circuit component behaves well in sealing and anti-splashing,and thus is worthy of clinical application for sputum aspiration.[Chinese Medical Equipment Journal,2025,46(4):113-117]

Objective To explore the predictive efficacy of several multimodal MRI-based machine learning models for the promoter methylation states of O6-methylguanine-DNA methyltransferase(MGMT)of glioblastoma muliforme(GBM)patients in terms of the GBM heterogeneity and the complexity of the tumor microenvironment.Methods Firstly,the multimodal MRI images of 317 GBM patients from The University of Pennsylvania Glioblastoma(UPENN-GBM)dataset were pre-processed,with four sequences involved in including T1-weighted imaging(T1WI)sequence,T1-weighted contrast-enhanced imaging(T1CE)sequence,T2-weighted imaging(T2WI)sequence and fluid-attenuated inversion recovery(FLAIR)sequence,and the radiomics features were extracted for two regions of interest(ROIs)such as the tumor core region and the tumor edema region.Secondly,the data of the 317 GBM patients were randomly divided into a training set(254 cases)and a test set(63 cases),which underwent normalization with Z-scores and feature selection and dimensionality reduction with Lasso regression.Finally,three models were established respectively with particle swarm optimization-support vector machine(PSO-SVM),C-support vector classification(C-SVC)and adaptive boosting(adaptive boosting(Adaboost)algorithms,and the predictive efficacy of the three models for glioblastoma multiforme MGMT promoter methylation states were evaluated in terms of accuracy and AUC.Results The Adaboost model based on T2WI sequence and radiomics features of the tumor core region had the highest predictive efficacy with accuracy and AUC values of 67％and 0.74,respectively,higher than those of other combinations of sequences,models and regions of interest.Conclusion The multimodal MRI-based machine learning models can be used for the prediction of glioblastoma multiforme MGMT promoter methylation states,which provides powerful support for personalized treatment and prognostic assessment of GBM.[Chinese Medical Equipment Journal,2025,46(6):7-13]

Aim To investigate the effect of total gly-cosides of peony on Th17/Treg balance in autoimmune thyroiditis(AIT)by regulating miR-155 expression.Methods Sixty female SD rats were randomly divided into a blank control group,a model group,high-dose,medium,and low-dose groups of total glycosides of peony,and a Western medicine control group(seleni-um yeast group).After eight weeks of modeling,the pathological changes in thyroid tissue were observed by HE staining,the expression of miR-155 in the thyroid of rats was detected by RT-PCR,the targeting effect of miR-155 on SOCS1 was verified by dual luciferase method,and the levels of TGAb,TPOAb,IL-10,and IL-17 in peripheral serum were detected by ELISA,the expression of thyroid SOCS1 was detected by WB,and the proportion of Th17 and Treg in CD4+cells of the spleen was detected by flow cytometry.Results Com-pared with the blank group,the expression of miR-155 in the thyroid gland of the model group rats significant-ly increased,and the serum levels of TGAb,TPOAb,and IL-17 significantly increased,with an increase in the proportion of Th17;the IL-10 level significantly decreased,the proportion of Treg decreased,and the expression of SOCS1 protein decreased,with statistical significance(P＜0.01);compared with the model group,the high,medium,and low dose groups of total glycosides of peony and selenium yeast groups showed a decrease in miR-155 expression,a decrease in TGAb,TPOAb,IL-17 levels,a decrease in Th17 pro-portion,an increase in IL-10 level,an increase in Treg proportion,and an increase in SOCS1 expression,all with statistical significance(P＜0.01).Moreover,the improvement in the medium dose group of total glyco-sides of peony was more significant.Conclusion To-tal glycosides of peony downregulate miR-155 expres-sion,regulate Th17/Treg balance,alleviate inflamma-tory response,and exert immune regulatory effects.

The molecular mechanisms underlying the develop-ment and metastasis of prostate cancer remain elusive.This comprehensive review delves into the intricate role of cofilin,an actin-binding protein,in the pathogenesis and progression of prostate cancer.Cofilin is a significant protein in cytoskeletal dynamics,and any dysregulation may result in the morphological changes in normal cells and the invasion and metastasis of tumor cells.Research has revealed that the activity of cofilin is regula-ted by various mechanisms,including phosphorylation/dephos-phorylation and interactions with other molecules.Moreover,this review discusses promising therapeutic interventions,such as co-filin inhibitors and gene therapy,which have demonstrated effica-cy in preclinical models.The challenge of clinically preventing the transition to castration-resistant prostate cancer and tumor metastasis is widely recognized,necessitating the development of precise drug treatments and biomarker identification.As a key regulatory protein,cofilin provides a more comprehensive refer-ence for the prevention and treatment of prostate diseases.

Objective To explore the predictive efficacy of several multimodal MRI-based machine learning models for the promoter methylation states of O6-methylguanine-DNA methyltransferase(MGMT)of glioblastoma muliforme(GBM)patients in terms of the GBM heterogeneity and the complexity of the tumor microenvironment.Methods Firstly,the multimodal MRI images of 317 GBM patients from The University of Pennsylvania Glioblastoma(UPENN-GBM)dataset were pre-processed,with four sequences involved in including T1-weighted imaging(T1WI)sequence,T1-weighted contrast-enhanced imaging(T1CE)sequence,T2-weighted imaging(T2WI)sequence and fluid-attenuated inversion recovery(FLAIR)sequence,and the radiomics features were extracted for two regions of interest(ROIs)such as the tumor core region and the tumor edema region.Secondly,the data of the 317 GBM patients were randomly divided into a training set(254 cases)and a test set(63 cases),which underwent normalization with Z-scores and feature selection and dimensionality reduction with Lasso regression.Finally,three models were established respectively with particle swarm optimization-support vector machine(PSO-SVM),C-support vector classification(C-SVC)and adaptive boosting(adaptive boosting(Adaboost)algorithms,and the predictive efficacy of the three models for glioblastoma multiforme MGMT promoter methylation states were evaluated in terms of accuracy and AUC.Results The Adaboost model based on T2WI sequence and radiomics features of the tumor core region had the highest predictive efficacy with accuracy and AUC values of 67％and 0.74,respectively,higher than those of other combinations of sequences,models and regions of interest.Conclusion The multimodal MRI-based machine learning models can be used for the prediction of glioblastoma multiforme MGMT promoter methylation states,which provides powerful support for personalized treatment and prognostic assessment of GBM.[Chinese Medical Equipment Journal,2025,46(6):7-13]

Objective:To investigate the predictive value of endothelial activation and stress index(EASIX)for the prognosis of patients with mantle cell lymphoma(MCL).Methods:A retrospective analysis was conducted to assess prognosis and compare the clinical features of patients diagnosed with MCL who were admitted to the Affiliated Hospital of Xuzhou Medical University from January 2010 to June 2023,had therapeutic indications and received standard treatment.Results:A total of 66 patients were included and divided into high EASIX group and low EASIX group,according to a cutoff value of 0.97 determined by the receiver operating characteristic(ROC)curve.Multivariate Cox regression analysis showed that prealbumin＜0.2 g/L,high EASIX,and ECOG PS score ≥2 were independent risk factors influencing overall survival(OS)in MCL patients.The median OS of patients in the high and low EASIX group was 13.0 and 37.5 months,and the median progression-free survival was 8.8 and 26.0 months,respectively.The proportions of patients with ECOG PS score ≥2 and prealbumin＜0.2 g/L at onset significantly increased in the high EASIX group compared to those in the low EASIX group.Conclusion:At the time of initial diagnosis,EASIX can serve as an independent prognostic indicator impacting OS in patients with MCL.Furthermore,patients in the high EASIX group experience a poorer prognosis and shorter survival duration compared with those in the low EASIX group.

Aim To investigate the effects of the fangchinoline derivative LYY-32 on the biological prop-erties of the BLM642-1290 DNA helicase,in order to lay a foundation for further research on its antitumor activity.Methods Fluorescence polarization assay,malachite green-phosphate and ammonium molybdate colorime-try,and fluorescein-labeled DNA gel electrophoresis experiments were conducted to study the effects of fangchinoline derivative LYY-32 on the DNA binding activity,ATPase activity,and DNA unwinding activity of BLM642-1290 DNA helicase.The effects of LYY-32 on the DNA unwinding activity of DNA helicase in cells were studied using fluorescent techniques and time-lapse microscopy.Ultraviolet spectral scanning was used to investigate the effects of LYY-32 on the confor-mation of the BLM642-1290 DNA helicase.Results At a concentration of 10 μmol·L-1,the inhibition rate of LYY-32 on BLM642-1290 DNA helicase binding to dsDNA was 53.17％.At a concentration of 5 μmol·L-1,the inhibition rate of LYY-32 on BLM642-1290 DNA helicase binding to ssDNA was 88.49％.The inhibition rate of LYY-32 on the ATPase activity of BLM642-1290 DNA he-licase was 89.3％at a concentration of 50 μmol·L-1.When the concentration of LYY-32 exceeded 5μmol·L-1,its inhibition rate on the DNA unwinding activity of BLM642-1290 DNA helicase was 100％.LYY-32 also significantly inhibited the DNA unwinding ac-tivity of DNA helicase in cells.However,LYY-32 had no effect on the conformation of BLM642-1290 DNA heli-case.Conclusion The DNA binding activity,AT-Pase activity,and DNA unwinding activity of BLM642-1290 DNA helicase could be significantly inhibi-ted by the fangchinoline derivative LYY-32.