ObjectiveTo systematically assess the public health governance capacity in Zhejiang Province, to conduct an in-depth analysis of its strengths and weaknesses, so as to provide scientific basis and strategic recommendations for further enhancement. MethodsA systematic collection of policy documents, public information reports, and research literature related to public health governance capacity in Zhejiang Province from 2002 to 2023 was conducted (encompassing a total of 1 263 policy documents, 138 pieces of information reports and 631 research articles). Based on the evaluation criteria suitable for public health systems previously developed by the research team, the basic status and magnitude of change in public health governance capacity in Zhejiang Province was evaluated. Additionally, normative gap analyses were employed to identify the strengths and weaknesses. ResultsZhejiang Province ranked 4th nationwide in terms of public health governance capacity with a score of 733.4 points (1 000.0-point maximum). The province has effectively implemented the principle of health first (scoring 698.5 points in the assessment of health-first strategy implementation) and attached sufficient importance to health-related goals (scoring 658.2 points in the scientific rationality of goal setting). However, the implementation of inter-departmental coordination and incentive mechanisms only scored 178.7 points, the feasibility of management and monitoring mechanisms scored even lower at only 144.0 points, and the coverage of incentive mechanisms scored 286.0 points. ConclusionZhejiang Province has effectively implemented its health first strategy and attached great importance to health targets, but still needs to strengthen cross-departmental coordination mechanisms and health-oriented incentives.

Neonatal diabetes mellitus （NDM） is a rare monogenic disorder primarily caused by insufficient insulin secretion resulting from mutations in the KCNJ11 and ABCC8 genes. Sulfonylureas， represented by glibenclamide， have become the standard therapy for this type of NDM by precisely closing the mutated ATP-sensitive potassium channels in pancreatic β cells， thereby restoring insulin secretion. Clinical studies confirm that sulfonylureas enable over 90% of patients to successfully transition from insulin to oral treatment， achieving long-term stable glycemic control and improving neurological outcomes to a certain extent. In terms of safety， severe hypoglycemia induced by sulfonylureas is relatively rare and gastrointestinal reactions are mild； moreover， sulfonylureas show good long-term tolerability， and have no adverse effects on child growth and development. In the future， by further refining the full-chain management pathway of “rapid genetic diagnosis-early intervention-specialized dosage forms-long-term follow-up”， the clinical application of sulfonylureas is expected to provide NDM patients with an optimized treatment regimen and maximize their health benefits.

Cilia,as cellular sensory organelles,actively partici-pate in and regulate cellular processes such as autophagy and metabolic breakdown during their generation and transportation.Autophagy,on the other hand,is a cell self-protection mecha-nism that maintains cellular homeostasis by clearing aggregates and damaged organelles.Combining recent research findings,this review comprehensively elucidates the bidirectional crosstalk between primary cilia and autophagy.Specifically,it highlights the crucial role of cilia-dependent signaling pathways in activa-ting cellular autophagy and how autophagy regulates cilia genera-tion and length by degrading specific ciliary proteins.Moreover,the dysregulation of primary cilia and autophagy is closely asso-ciated with the clinical manifestations and pathogenesis of vari-ous ciliopathy-related diseases such as polycystic kidney disease and tuberous sclerosis.In terms of pharmacotherapy,this review provides a comprehensive and in-depth overview of small mole-cule inhibitors targeting ciliogenesis,including cytoskeletal drugs and Hedgehog signaling pathway inhibitors.Despite the current limitations in clinical use,these drugs lay the groundw-ork for developing highly specific targeted small molecule inhibi-tors of ciliogenesis and for the treatment of ciliopathies and canc-ers.By systematically discussing ciliogenesis,autophagy,disea-ses and drugs,this review offers new insights for further elucida-ting the crosstalk between ciliogenesis and autophagy,exploring their pathological mechanisms in disease development,and de-veloping therapeutic strategies in the future.

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 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 effect of quercetin(QUE)on the Th1/Th2 immune balance in allergic rhinitis(AR)mice via regulating protein tyrosine kinase 2(JAK2)/signal transducer and activator of transcription 3(STAT3)signaling pathway.Method We selected SPF-grade male BALB/c mice and constructed the AR mouse model through sensitization treatment.Seventy-two mice were randomly divided into the model group,the QUE-L group(50 mg/kg QUE by gavage),the QUE-M group(100 mg/kg QUE by gavage),the QUE-H group(200 mg/kg QUE by gavage),and the QUE-H+JAK2/STAT3 pathway activator Coumermycin A1 Group(200 mg/kg QUE by gavage+tail vein injection of 1 mg/kg Coumermycin A1),and normal mice were taken and only treated with 0.9 sodium chloride injection by intraperitoneal injection and nasal drip as the control group.The histopathological morphology of nasal mucosa in each group of mice was detected by HE staining.The levels of interferon-γ(IFN-γ),interleukin-4(IL-4),immunoglobulin E(IgE),interleukin-1β(IL-1β),interleukin-6(IL-6),and interleukin-8(IL-8)in the serum of mice in each group were detected by ELISA.The apoptosis rate of nasal mucosa tissue cells in each group was determined by the TUNEL method,and the protein expressions of JAK2 and STAT3 in the nasal mucosa tissues of mice in each group were detected by Western blot method.Results Compared with the control group,the model group had disorganized nasal mucosal epithelial cells,vasodilation,accompanied by severe inflammatory cell infiltration,presence of obvious pathological changes and decreased serum IFN-γ level(P<0.05).The levels of serum IL-4,IgE,IL-1β,IL-6,IL-8,the apoptosis rate of nasal mucosa tissue cells,and the protein expressions of p-JAK2/JAK2 and p-STAT3/STAT3 increased(P<0.05).The nasal mucosal epithelial cells of mice in the QUE-L group,QUE-M group and QUE-H group were arranged neatly compared with those in the model group.Vasodilation and inflammatory cell infiltration were significantly alleviated,the pathological changes were significantly reduced,and the serum IFN-γ level was increased(P<0.05).The levels of serum IL4,IgE,IL-1β,IL-6,and IL-8,the apoptosis rate of nasal mucosal tissue cells,and the protein expressions of p-JAK2/JAK2 and p-STAT3/STAT3 decreased(P<0.05).Compared with the QUE-H group,the QUE-H+Coumermycin A1 group had aggravated pathological changes,deteriorated inflammation levels and immune imbalance,and increased apoptosis rate of nasal mucosal tissue cells and protein expression in the JAK2/STAT3 pathway(P<0.05).Conclusion QUE may reverse the Th1/Th2 immune imbalance in AR mice by inhibiting the JAK2/STAT3 signaling pathway.

Hepatocellular carcinoma(HCC)is difficult to detect in its early stages and current treatment methods are associated with significant side effects and a high risk of developing drug resistance.This study aims to investigate the effect of phycocyanin(PC)on the apoptosis of human HCC HepG2 cells and its potential mechanism.HepG2 cells were treated with PC at concentrations of 0.1,0.25,0.5,1,2.5,5,and 10 μg/mL for 12 h,and with 10 μg/mL PC and 2.5 μmol/L Wip1 inhibitor(Wip1i)alone or in combination for 12 and 24 h,respectively.Cell proliferation levels were assessed using the CCK-8 cell proliferation-toxicity assay kit.Apoptosis levels were measured by Annexin V-FITC/Propidium Iodide double staining combined with flow cytometry.TMT(Tandem Mass Tag)proteomics quantitative technol-ogy was applied to analyze differential protein expression.Western blotting was used to detect the expres-sion levels of Wip1,p53,and phosphorylated-p53(Ser15)proteins.The CCK-8 assay revealed that PC effectively inhibited HepG2 cell proliferation in a concentration-dependent manner,with a half-maximal inhibitory concentration(IC50)of 19.37 μg/mL.Flow cytometry results showed that PC significantly in-duced apoptosis,with an apoptosis rate of 30.40％.Quantitative proteomics analysis indicated that PC induced activation of the p53 pathway.The CCK-8 assay showed that Wip1i enhanced the cytotoxic effect of PC on HepG2 cells.Western blotting confirmed that PC inhibited Wip1 expression,induced p53 pro-tein phosphorylation,and promoted the expression of total p53 protein.Additionally,Wip1i further en-hanced PC-mediated activation of the p53 pathway,increasing the expression of p53 and pP53(S15).In conclusion,PC may induce apoptosis by inhibiting the activity of the p53 negative regulator Wip1,thereby promoting apoptosis through the Wip1/p53 pathway.

Objective To investigate the effect of quercetin(QUE)on the Th1/Th2 immune balance in allergic rhinitis(AR)mice via regulating protein tyrosine kinase 2(JAK2)/signal transducer and activator of transcription 3(STAT3)signaling pathway.Method We selected SPF-grade male BALB/c mice and constructed the AR mouse model through sensitization treatment.Seventy-two mice were randomly divided into the model group,the QUE-L group(50 mg/kg QUE by gavage),the QUE-M group(100 mg/kg QUE by gavage),the QUE-H group(200 mg/kg QUE by gavage),and the QUE-H+JAK2/STAT3 pathway activator Coumermycin A1 Group(200 mg/kg QUE by gavage+tail vein injection of 1 mg/kg Coumermycin A1),and normal mice were taken and only treated with 0.9 sodium chloride injection by intraperitoneal injection and nasal drip as the control group.The histopathological morphology of nasal mucosa in each group of mice was detected by HE staining.The levels of interferon-γ(IFN-γ),interleukin-4(IL-4),immunoglobulin E(IgE),interleukin-1β(IL-1β),interleukin-6(IL-6),and interleukin-8(IL-8)in the serum of mice in each group were detected by ELISA.The apoptosis rate of nasal mucosa tissue cells in each group was determined by the TUNEL method,and the protein expressions of JAK2 and STAT3 in the nasal mucosa tissues of mice in each group were detected by Western blot method.Results Compared with the control group,the model group had disorganized nasal mucosal epithelial cells,vasodilation,accompanied by severe inflammatory cell infiltration,presence of obvious pathological changes and decreased serum IFN-γ level(P<0.05).The levels of serum IL-4,IgE,IL-1β,IL-6,IL-8,the apoptosis rate of nasal mucosa tissue cells,and the protein expressions of p-JAK2/JAK2 and p-STAT3/STAT3 increased(P<0.05).The nasal mucosal epithelial cells of mice in the QUE-L group,QUE-M group and QUE-H group were arranged neatly compared with those in the model group.Vasodilation and inflammatory cell infiltration were significantly alleviated,the pathological changes were significantly reduced,and the serum IFN-γ level was increased(P<0.05).The levels of serum IL4,IgE,IL-1β,IL-6,and IL-8,the apoptosis rate of nasal mucosal tissue cells,and the protein expressions of p-JAK2/JAK2 and p-STAT3/STAT3 decreased(P<0.05).Compared with the QUE-H group,the QUE-H+Coumermycin A1 group had aggravated pathological changes,deteriorated inflammation levels and immune imbalance,and increased apoptosis rate of nasal mucosal tissue cells and protein expression in the JAK2/STAT3 pathway(P<0.05).Conclusion QUE may reverse the Th1/Th2 immune imbalance in AR mice by inhibiting the JAK2/STAT3 signaling pathway.

Cilia,as cellular sensory organelles,actively partici-pate in and regulate cellular processes such as autophagy and metabolic breakdown during their generation and transportation.Autophagy,on the other hand,is a cell self-protection mecha-nism that maintains cellular homeostasis by clearing aggregates and damaged organelles.Combining recent research findings,this review comprehensively elucidates the bidirectional crosstalk between primary cilia and autophagy.Specifically,it highlights the crucial role of cilia-dependent signaling pathways in activa-ting cellular autophagy and how autophagy regulates cilia genera-tion and length by degrading specific ciliary proteins.Moreover,the dysregulation of primary cilia and autophagy is closely asso-ciated with the clinical manifestations and pathogenesis of vari-ous ciliopathy-related diseases such as polycystic kidney disease and tuberous sclerosis.In terms of pharmacotherapy,this review provides a comprehensive and in-depth overview of small mole-cule inhibitors targeting ciliogenesis,including cytoskeletal drugs and Hedgehog signaling pathway inhibitors.Despite the current limitations in clinical use,these drugs lay the groundw-ork for developing highly specific targeted small molecule inhibi-tors of ciliogenesis and for the treatment of ciliopathies and canc-ers.By systematically discussing ciliogenesis,autophagy,disea-ses and drugs,this review offers new insights for further elucida-ting the crosstalk between ciliogenesis and autophagy,exploring their pathological mechanisms in disease development,and de-veloping therapeutic strategies in the future.

Objective To analyze the epidemiological characteristics and risk factors of an outbreak of influenza A H1N1 in a specialized psychiatric hospital in Shantou City,Guangdong Province,provide scientific basis for the pre-vention and control of respiratory infectious diseases in psychiatric health institutions.Methods Data of infection cases in this hospital in May 1-27,2024 were collected with on-site epidemiological investigation method,and were analyzed with descriptive epidemiological methods.The specimens of the cases were performed nucleic acid testing by reverse transcription polymerase chain reaction(RT-PCR)method.Results A total of 43 influenza-like cases in this outbreak have been reported,with an incidence of 16.67％,including 42 hospitalized patients and 1 healthcare worker.Among the 42 hospitalized patients,there were 41 males,with an incidence of 35.04％and 1 female with an incidence of 2.22％,there was a statistically significant difference in incidence between hospitalized patients of different genders(x2=18.23,P＜0.001).The epidemic curve shows that after the first case appeared on May 8,2024,the number of cases increased significantly from May 13,and reached its peak on May 17(n=17).31 pa-tients' throat swab specimens were collected,out of which 29(93.55％)were positive for influenza A H1N1 virus nucleic acid and 2(6.45％)were negative.Conclusion This epidemic is an outbreak of influenza A H1N1 in a psy-chiatric health institution,the epidemic curve shows a point source human-to-human transmission mode.Failure to effectively identify and isolate cases in the early stage can lead to the spread of the epidemic across floors and wards.It is necessary to regularly organize hospitalized patients and healthcare workers to receive influenza vaccines,strict-ly implement the health monitoring system,strengthen the control of external personnel,and enhance the early de-tection and emergency response capabilities for infectious disease outbreaks.