Globally,emerging zoonotic diseases have revealed the close links among human,animal and environmental health,and the difficulties in addressing such complex health problems through a single entity.The concept of One Health has emerged,emphasizing the common strength of cross-sectoral,multidisciplinary,and social participation in addressing global health threats from a holistic perspective.China's action to address emerging infectious diseases since 2020 are reviewed,and the current status of and challenges in China's One Health governance of emerging infectious disease prevention and control systems are analyzed and summarized.The outlook for the development of a One Health governance system to help prepare for future pandemic diseases is also discussed.

OBJECTIVE To evaluate the effects of phthalic acid esters(PAEs)on the expression of heme oxygenase-1(HO-1)in HepG2 cells,and to construct an HO-1-based three-dimensional quantita-tive structure-activity relationship(3D-QSAR)model.METHODS ① HepG2 cells were treated with seven types of PAEs:di-(2-ethylhexyl)phthalate(DEHP),di-n-octyl phthalate(DnOP),dimethyl phthalate(DMP),diethyl phthalate(DEP),dihexyl phthalate(DHXP),dimethylglycol phthalate(DMEP),and dibutyl phthalate(DBP),at final concentrations of 0(DMSO,solvent control),0.062 5,0.125,0.25,0.5 and 1 mmol·L-1(n=6)for 48 h at 37℃.The expression level of HO-1 was measured by Western blotting.② A 3D-QSAR model was constructed using comparative molecular similarity indices analysis(CoMSIA)based on the measured HO-1 levels.The applicability domain(AD)of the model was evaluated using the leverage method.Model fitting quality and predictive ability were evaluated via the KNIME Enalos+node to verify model stability.Additionally,molecular docking was performed to validate the binding interactions between PAEs and HO-1.RESULTS ① Compared with the solvent control group,48 h of exposure to 0.062 5 mmol·L-1 PAEs(DMP,DMEP,DEHP,DnOP and DEP)significantly increased HO-1 protein expressions,while 1 mmol·L-1 PAEs(DMP,DBP,DnOP,DEP and DHXP)significantly suppressed HO-1 expressions.② The 3D-QSAR model showed a non-cross-validated coefficient(R2)of 0.996 and a cross-validated coefficient(Q2)of 0.548.All the seven PAEs in the 3D-QSAR model were within the applicability domain(AD)and passed external validation.Molecular docking results indi-cated that DBP,DnOP,DEHP and DHXP exhibited stronger binding affinities to HO-1.CONCLUSION Forty-eight hours of exposure of HepG2 cells to 1 mmol·L-1 PAEs can significantly suppress HO-1 expres-sions.The 3D-QSAR model established in this study provides a potential tool for predicting the HO-1-related toxic effects of novel PAEs.

Objective:To investigate the metabolic pathways and potential molecular targets associated with dapagliflozin in the treatment of type 2 diabetes mellitus.Methods:Plasma samples from patients with type 2 diabetes mellitus were collected before and after 12 months of dapagliflozin treatment and analyzed using UPLC-VION IMS Q-Tof-based metabolomics and timsTOF Pro2 diaPASEF-based proteomics. Multivariate statistical analyses were performed to identify significant differences pre- and post-treatment. Correlation analysis was then conducted to assess relationships between differentially expressed metabolites and proteins closely associated with type 2 diabetes mellitus. Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment analyses were used to construct metabolic pathway maps and predict therapeutic targets.Results:After 12 months of dapagliflozin treatment, 162 differential metabolites were identified, with 59 upregulated and 103 downregulated. A total of 440 differentially expressed proteins were detected, of which 272 were upregulated and 168 were downregulated. The main classes of differential metabolites included sphingolipids, glycerophospholipids, and glycosphingolipids. Key differentially expressed proteins included importin subunit alpha-11, synemin, Janus kinase 1, and far upstream element-binding protein 2. Correlation analysis revealed 98 shared enriched pathways between differential metabolites and proteins, involving neurotrophin signaling, chemokine signaling, and B cell receptor signaling pathways. Metabolic pathway analysis suggested that dapagliflozin might regulate insulin secretion by modulating glucose-dependent insulinotropic polypeptide, calmodulin-dependent protein kinase, and diacylglycerol levels.Conclusion:Dapagliflozin may exert therapeutic effects in type 2 diabetes mellitus through multiple mechanisms, including the modulation of metabolic and proteomic profiles, participation in key cellular signaling pathways, and regulation of insulin secretion.

OBJECTIVE To evaluate the effects of phthalic acid esters(PAEs)on the expression of heme oxygenase-1(HO-1)in HepG2 cells,and to construct an HO-1-based three-dimensional quantita-tive structure-activity relationship(3D-QSAR)model.METHODS ① HepG2 cells were treated with seven types of PAEs:di-(2-ethylhexyl)phthalate(DEHP),di-n-octyl phthalate(DnOP),dimethyl phthalate(DMP),diethyl phthalate(DEP),dihexyl phthalate(DHXP),dimethylglycol phthalate(DMEP),and dibutyl phthalate(DBP),at final concentrations of 0(DMSO,solvent control),0.062 5,0.125,0.25,0.5 and 1 mmol·L-1(n=6)for 48 h at 37℃.The expression level of HO-1 was measured by Western blotting.② A 3D-QSAR model was constructed using comparative molecular similarity indices analysis(CoMSIA)based on the measured HO-1 levels.The applicability domain(AD)of the model was evaluated using the leverage method.Model fitting quality and predictive ability were evaluated via the KNIME Enalos+node to verify model stability.Additionally,molecular docking was performed to validate the binding interactions between PAEs and HO-1.RESULTS ① Compared with the solvent control group,48 h of exposure to 0.062 5 mmol·L-1 PAEs(DMP,DMEP,DEHP,DnOP and DEP)significantly increased HO-1 protein expressions,while 1 mmol·L-1 PAEs(DMP,DBP,DnOP,DEP and DHXP)significantly suppressed HO-1 expressions.② The 3D-QSAR model showed a non-cross-validated coefficient(R2)of 0.996 and a cross-validated coefficient(Q2)of 0.548.All the seven PAEs in the 3D-QSAR model were within the applicability domain(AD)and passed external validation.Molecular docking results indi-cated that DBP,DnOP,DEHP and DHXP exhibited stronger binding affinities to HO-1.CONCLUSION Forty-eight hours of exposure of HepG2 cells to 1 mmol·L-1 PAEs can significantly suppress HO-1 expres-sions.The 3D-QSAR model established in this study provides a potential tool for predicting the HO-1-related toxic effects of novel PAEs.

Objective:To explore the incidence status,influencing factors and short-term prognosis characteristics of early onset coronary heart disease in women in Wansheng District of Chongqing,and to provide scientific basis for formulating regional prevention and treatment strategies.Methods:This study was a single-center retrospective study,100 coronary heart disease in women from January 2022 to December 2023 at Chongqing Wansheng Economic and Technological Development Zone People's Hospital were prospective selected,and they were divided into early onset group of 40 cases(≤ 65 years old)and late onset group of 60 cases(＞65 years old)based on their age of onset.Another 60 healthy women who underwent physical examinations during the same period to exclude coronary heart disease were selected as the control group.Univariate factor and multiple factor logistic regression analysis were used to identify independent risk factors for early onset coronary heart disease in women.Draw receiver operating characteristic(ROC)curve for the subjects,the efficacy of risk factors in predicting early onset coronary heart disease based on the area under the curve(AUC)of ROC curve were evaluated.Patients were followed up for 1 year to observe the occurrence of major adverse cardiovascular events(MACE).Result:Among 100 fcoronary heart disease in women,the early onset group accounted for 40.00％(40/100).Univariate analysis showed that age,hyperlipidemia history,smoking history,hypertension history,family history,diabetes history,total cholesterol(TC),low-density lipoprotein cholesterol(LDL-C)were related to the early onset coronary heart disease.Multivariate analysis showed that,hyperlipidemia history(OR=4.124,95％CI:2.343-7.217),smoking history(OR=3.564),hypertension(OR=3.253),family history(OR=2.981),diabetes history(OR=2.873)were independent risk factors.ROC curve analysis results showed that joint evaluation had the best predictive value,with AUC of 0.829,which was higher than the AUC of individual evaluation for each factor.The incidence of MACE in the early onset group(45.00％)was significantly higher than that in the late onset group(P＜0.05).Conclusion:Early onset coronary heart disease in women in Wansheng District of Chongqing is related to the hyperlipidemia history,smoking,hypertension history,family history and diabetes history.The incidence of MACE in early-onset patients followed up for 1 year is higher than that in late-onset patients.

Objective:To explore the incidence status,influencing factors and short-term prognosis characteristics of early onset coronary heart disease in women in Wansheng District of Chongqing,and to provide scientific basis for formulating regional prevention and treatment strategies.Methods:This study was a single-center retrospective study,100 coronary heart disease in women from January 2022 to December 2023 at Chongqing Wansheng Economic and Technological Development Zone People's Hospital were prospective selected,and they were divided into early onset group of 40 cases(≤ 65 years old)and late onset group of 60 cases(＞65 years old)based on their age of onset.Another 60 healthy women who underwent physical examinations during the same period to exclude coronary heart disease were selected as the control group.Univariate factor and multiple factor logistic regression analysis were used to identify independent risk factors for early onset coronary heart disease in women.Draw receiver operating characteristic(ROC)curve for the subjects,the efficacy of risk factors in predicting early onset coronary heart disease based on the area under the curve(AUC)of ROC curve were evaluated.Patients were followed up for 1 year to observe the occurrence of major adverse cardiovascular events(MACE).Result:Among 100 fcoronary heart disease in women,the early onset group accounted for 40.00％(40/100).Univariate analysis showed that age,hyperlipidemia history,smoking history,hypertension history,family history,diabetes history,total cholesterol(TC),low-density lipoprotein cholesterol(LDL-C)were related to the early onset coronary heart disease.Multivariate analysis showed that,hyperlipidemia history(OR=4.124,95％CI:2.343-7.217),smoking history(OR=3.564),hypertension(OR=3.253),family history(OR=2.981),diabetes history(OR=2.873)were independent risk factors.ROC curve analysis results showed that joint evaluation had the best predictive value,with AUC of 0.829,which was higher than the AUC of individual evaluation for each factor.The incidence of MACE in the early onset group(45.00％)was significantly higher than that in the late onset group(P＜0.05).Conclusion:Early onset coronary heart disease in women in Wansheng District of Chongqing is related to the hyperlipidemia history,smoking,hypertension history,family history and diabetes history.The incidence of MACE in early-onset patients followed up for 1 year is higher than that in late-onset patients.

Globally,emerging zoonotic diseases have revealed the close links among human,animal and environmental health,and the difficulties in addressing such complex health problems through a single entity.The concept of One Health has emerged,emphasizing the common strength of cross-sectoral,multidisciplinary,and social participation in addressing global health threats from a holistic perspective.China's action to address emerging infectious diseases since 2020 are reviewed,and the current status of and challenges in China's One Health governance of emerging infectious disease prevention and control systems are analyzed and summarized.The outlook for the development of a One Health governance system to help prepare for future pandemic diseases is also discussed.

Objective:To investigate the metabolic pathways and potential molecular targets associated with dapagliflozin in the treatment of type 2 diabetes mellitus.Methods:Plasma samples from patients with type 2 diabetes mellitus were collected before and after 12 months of dapagliflozin treatment and analyzed using UPLC-VION IMS Q-Tof-based metabolomics and timsTOF Pro2 diaPASEF-based proteomics. Multivariate statistical analyses were performed to identify significant differences pre- and post-treatment. Correlation analysis was then conducted to assess relationships between differentially expressed metabolites and proteins closely associated with type 2 diabetes mellitus. Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment analyses were used to construct metabolic pathway maps and predict therapeutic targets.Results:After 12 months of dapagliflozin treatment, 162 differential metabolites were identified, with 59 upregulated and 103 downregulated. A total of 440 differentially expressed proteins were detected, of which 272 were upregulated and 168 were downregulated. The main classes of differential metabolites included sphingolipids, glycerophospholipids, and glycosphingolipids. Key differentially expressed proteins included importin subunit alpha-11, synemin, Janus kinase 1, and far upstream element-binding protein 2. Correlation analysis revealed 98 shared enriched pathways between differential metabolites and proteins, involving neurotrophin signaling, chemokine signaling, and B cell receptor signaling pathways. Metabolic pathway analysis suggested that dapagliflozin might regulate insulin secretion by modulating glucose-dependent insulinotropic polypeptide, calmodulin-dependent protein kinase, and diacylglycerol levels.Conclusion:Dapagliflozin may exert therapeutic effects in type 2 diabetes mellitus through multiple mechanisms, including the modulation of metabolic and proteomic profiles, participation in key cellular signaling pathways, and regulation of insulin secretion.

Objective The contents of 11 nucleosides and base components in 10 batches of samples from 5 provinces(cities)including Chongqing,Yunnan and Shaanxi were determined,and the differences in nucleosides and base components in Fritillaria taipaiensis were compared by chemometric analysis,and the quality was comprehensively evaluated,so as to provide a reference for the cultivation of excellent varieties and the selection of medicinal materials.Methods Nucleoside and base components were extracted from Fritillaria taipaiensis by ultrasonication in aqueous solutions,and the content of each component was determined by HPLC-DAD method.The origin was classified by principal component analysis(PCA)and hierarchical cluster analysis(HCA).Partial least squares discriminant analysis(PLS-DA)was used to determine the differentiated index components in Fritillaria taipaiensis.Then the differences in the contents of the index components among samples from different origins were compared.Results It was found that 11 nucleoside and base components differed significantly among different origins of Fritillaria taipaiensis.Principal component analysis and hierarchical cluster analysis indicated that all samples could be clustered into 4 categories.Five characteristic components,including uracil,cytosine,uridine,inosine,and adenosine,were identified by PLS-DA.The nucleosides and bases in samples from Chongqing and Hubei were relatively high,and the quality of the samples was comparatively superior.Conclusion This method is simple,reproducible,accurate and reliable.It has screened out the index nucleoside and base components in the identification of Fritillaria taipaiensis of different origins,which can be used to initially elucidate the differences of samples between different origins.Additionally,it can better reflect the quality of Fritillaria taipaiensis,and can provide reference for the selection of procurement origin and the quality control for Fritillaria taipaiensis.

Diabetic kidney disease(DKD)is one of the most important complications of diabetes.In recent years,domestic and foreign studies have found that mammalian target protein of rapamycin(mTOR)related signaling pathway is a classic pathway involved in the regulation of autophagy,which can achieve the therapeutic effect of DKD by targeting the autophagy pathway,and plays a crucial role in the prevention and treatment of DKD.In this paper,we reviewed the mechanism of mTOR-related signaling pathway targeted autophagy in the prevention and treatment of DKD,in order to provide a new reference and basis for clinical prevention and treatment of DKD.