Aim To investigate the protective effect of Vaccarin(Va)on epithelial-mesenchymal transition(EMT)in renal fibrosis model mice through regulating STAT3,and the underlying mechanism.Methods Left ureter ligation was used to establish a mouse model of unilateral ureteral obstruction(UUO);human kid-ney tubular epithelial(HK2)cells were induced to differentiate by transforming growth factor-β(TGF-β)in vitro.HE and Masson staining were used to observe the morphological changes of renal tissue;kits were used to detect the levels of BUN,Cr,IL-1β and IL-7 in mouse serum;CCK-8 was used to detect the effect of Va on the viability of HK2 cells;RT-PCR was used to detect the levels of inflammatory factors in HK2 cells;Western blot was used to detect the expression of STAT3,p-STAT3,E-cadherin,and α-SMA proteins in renal tissue and HK2 cells;to further investigate the regulation of Va on STAT3,JAK/STAT3 pathway acti-vator RO8191 was used to treat TGF-β-induced HK2 cells,and functional loss was detected.Results Va improved the pathological damage in UUO mice,inhibi-ted the levels of BUN,Cr and inflammatory factors;Va inhibited the phosphorylation of STAT3,upregulated E-cadherin,and downregulated α-SMA protein expres-sion;RO8191 counteracted the inhibitory effect of Va on the phosphorylation of STAT3.Conclusions Va inhibits the phosphorylation of STAT3 and the release of inflammatory factors,improves EMT,thus exerting an anti-renal fibrosis effect.

Objective:To investigate the clinical efficacy of Zhuangdan Yanshi Decoction combined with dapoxetine hydrochlo-ride in the treatment of premature ejaculation with cholestasis and phlegm disturbance.Methods:A total of 120 patients diagnosed with premature ejaculation and treated in the Andrology Outpatient Department of Shaanxi Provincial Hospital of Traditional Chinese Medicine from March to December in 2022 were selected and randomly divided into treatment group and control group,with 60 cases in each group.The incubation period of intravaginal ejaculation(IELT),the Diagnostic Scale of Premature Ejaculation(PEDT),the Premature Ejaculation Assessment Scale(PEP),the 5-item Sexual Function Evaluation of Chinese Premature Ejaculation Patients(CIPE-5)and the improvement of traditional Chinese medicine symptom scores were compared before and after the treatment.And the adverse reactions were recorded as well.Results:A total of 105 cases were ultimately included,with 55 cases in the treatment group and 50 cases in the control group.Measurable improvements in IELT,PEDT scores,PEP scores,CIPE scores and TCM symptom scores had been found after treatment in both of two groups(P＜0.05).Moreover,the improvement in the treatment group was superi-or to that in the control group(P＜0.05).The total effective rate in the treatment group was 89.1％,which was higher than that(84％)in the control group,with no statistically significant difference between the two groups(P＞0.05).The incidence of adverse reactions in the treatment group was 9.1％,which was 24％in the control group.There was significantly difference between two groups(P＜0.05).Conclusion:The combination therapy with Zhuangdan Yanshi Decoction and dapoxetine hydrochloride for premature ejaculation associated with cholestasis and phlegm disturbance syndrome is definite,and it can reduce the side effects of drugs,which is better than oral dapoxetine hydrochloride alone.

Objective:To observe the effects of hyperbaric oxygen combined with huperzine A treatment on cognitive function and neuroinflammation in patients with vascular cognitive impairment(VCI)after cerebral infarction.Methods:This study was a retrospective study.34 patients with VCI after cerebral infarction who were treated with hyperbaric oxygen combined with huperzine A in our hospital from January 2023 to October 2024 were selected as the observation group.Additionally using 1∶1 matched case-control study method,34 patients who were treated with hyperbaric oxygen alone during the same period were selected as the control group 1,and 34 patients who were treated with huperzine A alone were selected as the control group 2.Compared the clinical efficacy,cognitive function[mini mental state examination(MMSE)score,montreal cognitive assessment(MoCA)score],activities of daily living(Barthel index),neurological function[national institutes of health stroke scale(NIHSS),neuron specific enolase(NSE),brain-derived neurotrophic factor(BDNF)],inflammatory mediators[high-sensitivity C-reactive protein(hs-CRP),tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1 β)]and incidence of adverse reactions among three groups.Results:The total clinical effective rate of the observation group was higher than that of control group 1 and control group 2(P＜0.05).After the treatment,the MMSE score,MoCA score and Barthel index of the observation group were higher than those of control group 1 and control group 2(P＜0.05).After the treatment,the NIHSS and NSE in the observation group were lower than those in control group 1 and control group 2,and the BDNF was higher than that in control group 1 and control group 2(P＜0.05).After the treatment,the levels of hs-CRP,IL-1β and TNF-α in the observation group were lower than those in control group 1 and control group 2(P＜0.05).There was no difference in the incidence of adverse reactions among the three groups(P＞0.05).Conclusion:Hyperbaric oxygen combined with huperzine A in the treatment of VCI after cerebral infarction can increase the total clinical effective rate,improve patients' cognitive function and reduce levels of neuroinflammation.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

AIM To investigate the effects of Polygonum cuspidatum and polydatin on lipid deposition in adipose tissue of high-fat diet-induced obese mice.METHODS Forty male C57BL/6J mice were randomly assigned to either a control group(10 mice)fed standard chow or a diet-induced obesity(DIO)group(30 mice)fed a high-fat diet for 8 weeks.The successful mouse models were randomly assigned to the model group,the polydatin group(250 mg/kg)and the P.cuspidatum group(4.5 g/kg),with 8 mice in each group,to resume their high-fat diet during the following 8 weeks corresponding drug administration by gavage.Weekly body weight measurements were recorded for all mice.Serum TG,TC and LDL levels were quantified post-treatment.Histopathological assessment of adipose tissue was performed using HE staining.The mRNA expressions of AMPK,SREBP-1c and FAS in adipose tissue were analyzed by RT-qPCR.The protein expressions of p-AMPK,SREBP-1c and FAS in adipose tissue was detected by Western blot.RESULTS Compared to the control group,the model group displayed significantly higher body weight,inguinal fat weight and epididymal fat weight(P＜0.05);elevated serum TG,TC and LDL levels(P＜0.05);markedly enlarged volumes of inguinal and epididymal adipocytes(P＜0.01);reduced p-AMPK protein expression in inguinal adipose tissue(P＜0.01);and upregulated mRNA and protein expressions of SREBP-1c and FAS(P＜0.05,P＜0.01).Compared to the model group,both the P.cuspidatum group and polygonin group exhibited significantly reduced body weight and inguinal fat weight(P＜0.05);decreased serum TG and TC levels(P＜0.05);reduced inguinal adipocyte size(P＜0.01);elevated p-AMPK protein expression in inguinal adipose tissue(P＜0.01);and downregulated mRNA and protein expressions of SREBP-1c and FAS(P＜0.05,P＜0.01).CONCLUSION P.cuspidatum and polydatin significantly increases p-AMPK expression while decreasing SREBP-1c and FAS levels in adipose tissue.This regulatory effect likely contributes to reduction of body weight in obese mice through suppression of lipogenesis.

Objective To propose a dynamic early warning model based on machine learning methods and validate its predi-ctive efficacy so as to achieve precise assessment and early warning of mortality risk in patients with traumatic hypothermia.Methods Firstly,a total of 480 patients who met inclusion criteria were retrospectively selected from the eICU database and randomly divided into training and test sets at an 8∶2 ratio.Secondly,physiological parameters were extracted from these patients,and five machine learning algorithms including XGBoost,AdaBoost,LightGBM,logistic regression(LR)and random forest(RF)were employed respectively to develop dynamic mortality risk warning models for traumatic hypothermia patients,utilizing a 1-hour observation window.Thirdly,receiver operating characteristic curves(ROC)were plotted using the test set data and the effects of different warning windows on the model performance were analyzed by calculating the AUC.Finally,the interpretability of the models was analyzed using the SHapley Additive exPlanations(SHAP)algorithm to elucidate the contribution of each feature to predictive performance.Results The optimal warning window for the dynamic warning model constructed using the eICU database was 12 hours,and in case of 12-hour warning window the logistic regression model achieved the highest AUC of 0.935 and showed optimal predictive performance.The results of the interpretability analysis by the SHAP algorithm showed that body temperature was the feature that had the greatest impact on the model results,and its reduction was positively correlated with the increased risk of death.Conclusion The machine learning-based dynamic warning model for mortality risk in traumatic hypothermia patients enables real-time dynamic risk assessment,providing robust support for clinicians to identify the patient's condition changes at an early stage and references for the adjustment of clinical treatment programs.[Chinese Medical Equipment Journal,2025,46(3):9-14]

Aim To investigate the protective effect of Vaccarin(Va)on epithelial-mesenchymal transition(EMT)in renal fibrosis model mice through regulating STAT3,and the underlying mechanism.Methods Left ureter ligation was used to establish a mouse model of unilateral ureteral obstruction(UUO);human kid-ney tubular epithelial(HK2)cells were induced to differentiate by transforming growth factor-β(TGF-β)in vitro.HE and Masson staining were used to observe the morphological changes of renal tissue;kits were used to detect the levels of BUN,Cr,IL-1β and IL-7 in mouse serum;CCK-8 was used to detect the effect of Va on the viability of HK2 cells;RT-PCR was used to detect the levels of inflammatory factors in HK2 cells;Western blot was used to detect the expression of STAT3,p-STAT3,E-cadherin,and α-SMA proteins in renal tissue and HK2 cells;to further investigate the regulation of Va on STAT3,JAK/STAT3 pathway acti-vator RO8191 was used to treat TGF-β-induced HK2 cells,and functional loss was detected.Results Va improved the pathological damage in UUO mice,inhibi-ted the levels of BUN,Cr and inflammatory factors;Va inhibited the phosphorylation of STAT3,upregulated E-cadherin,and downregulated α-SMA protein expres-sion;RO8191 counteracted the inhibitory effect of Va on the phosphorylation of STAT3.Conclusions Va inhibits the phosphorylation of STAT3 and the release of inflammatory factors,improves EMT,thus exerting an anti-renal fibrosis effect.

Objective To propose a dynamic early warning model based on machine learning methods and validate its predi-ctive efficacy so as to achieve precise assessment and early warning of mortality risk in patients with traumatic hypothermia.Methods Firstly,a total of 480 patients who met inclusion criteria were retrospectively selected from the eICU database and randomly divided into training and test sets at an 8∶2 ratio.Secondly,physiological parameters were extracted from these patients,and five machine learning algorithms including XGBoost,AdaBoost,LightGBM,logistic regression(LR)and random forest(RF)were employed respectively to develop dynamic mortality risk warning models for traumatic hypothermia patients,utilizing a 1-hour observation window.Thirdly,receiver operating characteristic curves(ROC)were plotted using the test set data and the effects of different warning windows on the model performance were analyzed by calculating the AUC.Finally,the interpretability of the models was analyzed using the SHapley Additive exPlanations(SHAP)algorithm to elucidate the contribution of each feature to predictive performance.Results The optimal warning window for the dynamic warning model constructed using the eICU database was 12 hours,and in case of 12-hour warning window the logistic regression model achieved the highest AUC of 0.935 and showed optimal predictive performance.The results of the interpretability analysis by the SHAP algorithm showed that body temperature was the feature that had the greatest impact on the model results,and its reduction was positively correlated with the increased risk of death.Conclusion The machine learning-based dynamic warning model for mortality risk in traumatic hypothermia patients enables real-time dynamic risk assessment,providing robust support for clinicians to identify the patient's condition changes at an early stage and references for the adjustment of clinical treatment programs.[Chinese Medical Equipment Journal,2025,46(3):9-14]

Objective:To understand the coverage and information consistency rate of National Immunization Program (NIP) vaccines among children born during 2020-2021 in Zhejiang Province, Chongqing City, and Shanxi Province (3 provinces) of China .Methods:A simple random sampling method was used to randomly select 3 counties (districts) from each of the 3 provinces, 5 townships from each county (district), and 5 villages from each township. Vaccination information for seven NIP vaccines was collected for children born between 2020 and 2021 in each village. The vaccination coverage, timely coverage, and consistency rates between the survey data and the Immunization Planning Information System data were analyzed.Results:A total of 1 117 children were investigated. The vaccination coverage for each dose of NIP vaccine ranged from 99.10% to 100.00%, with those in Zhejiang Province, Chongqing City, and Shanxi Province ranging from 99.19% to 100.00%, 98.92% to 100.00%, and 99.20% to 100.00%, respectively. The timely coverage of each dose of NIP vaccine ranged from 89.79% to 99.82%, with those in Zhejiang Province, Chongqing City, and Shanxi Province ranging from 94.09% to 99.73%, 89.52% to 99.73%, and 78.55% to 100.00%, respectively. The consistency rate of information on each dose of NIP vaccine ranged from 94.36% to 99.91%, with those in Zhejiang Province, Chongqing City, and Shanxi Province ranging from 97.85% to 99.73%, 98.92% to 100.00%, and 86.06% to 100.00%, respectively.Conclusions:Coverage of NIP vaccines was generally high among children born during 2020-2021 in the 3 provinces of China, but there were regional differences in the timely coverage of some vaccine doses and the vaccination information consistency rate. It is necessary to strengthen the timely vaccination of children's vaccine booster doses and optimize the management of vaccination services.

Objective:To observe the effects of hyperbaric oxygen combined with huperzine A treatment on cognitive function and neuroinflammation in patients with vascular cognitive impairment(VCI)after cerebral infarction.Methods:This study was a retrospective study.34 patients with VCI after cerebral infarction who were treated with hyperbaric oxygen combined with huperzine A in our hospital from January 2023 to October 2024 were selected as the observation group.Additionally using 1∶1 matched case-control study method,34 patients who were treated with hyperbaric oxygen alone during the same period were selected as the control group 1,and 34 patients who were treated with huperzine A alone were selected as the control group 2.Compared the clinical efficacy,cognitive function[mini mental state examination(MMSE)score,montreal cognitive assessment(MoCA)score],activities of daily living(Barthel index),neurological function[national institutes of health stroke scale(NIHSS),neuron specific enolase(NSE),brain-derived neurotrophic factor(BDNF)],inflammatory mediators[high-sensitivity C-reactive protein(hs-CRP),tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1 β)]and incidence of adverse reactions among three groups.Results:The total clinical effective rate of the observation group was higher than that of control group 1 and control group 2(P＜0.05).After the treatment,the MMSE score,MoCA score and Barthel index of the observation group were higher than those of control group 1 and control group 2(P＜0.05).After the treatment,the NIHSS and NSE in the observation group were lower than those in control group 1 and control group 2,and the BDNF was higher than that in control group 1 and control group 2(P＜0.05).After the treatment,the levels of hs-CRP,IL-1β and TNF-α in the observation group were lower than those in control group 1 and control group 2(P＜0.05).There was no difference in the incidence of adverse reactions among the three groups(P＞0.05).Conclusion:Hyperbaric oxygen combined with huperzine A in the treatment of VCI after cerebral infarction can increase the total clinical effective rate,improve patients' cognitive function and reduce levels of neuroinflammation.