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.

BACKGROUND:Rev-erbα is involved in the regulation of inflammation,but pharmacological activation of Rev-erbα increases the risk for cardiovascular diseases.To reduce the relevant risk,an exploration on SR9009,a Rev-erbα agonist,combined with other drugs to relieve inflammation in skeletal myoblasts was conducted,laying the theoretical foundation for the treatment of inflammation-associated skeletal muscle atrophy. OBJECTIVE:To investigate the relationship of SR9009,indolepropionic acid and nuclear factor-κB signaling pathways in lipopolysaccharide-induced C2C12 myoblasts. METHODS:(1)C2C12 myoblasts were induced to differentiate in the presence of lipopolysaccharide(1 μg/mL).RNA-seq and KEGG pathway analysis were used to study signaling pathways.(2)C2C12 myoblast viability was assessed using the cell counting kit-8 assay to determine optimal concentrations of indolepropionic acid.Subsequently,cells were categorized into control group,lipopolysaccharide(1 μg/mL)group,SR9009(10 μmol/L)+lipopolysaccharide group,indolepropionic acid(80μmol/L)+lipopolysaccharide group,and SR9009+indolepropionic acid+lipopolysaccharide group.ELISA was employed to measure protein expression levels of interleukin-6 in the cultured supernatant.Real-time quantitative PCR were employed to measure mRNA expression levels of interleukin-6,tumor necrosis factor α,TLR4 and CD14.Western blot assay were employed to measure protein expression levels of NF-κB p65 and p-NF-κB p65.(3)After Rev-erbα was knocked down by siRNA,knockdown efficiency was assessed by RT-qPCR.And mRNA levels of interleukin-6 and tumor necrosis factor α were also measured. RESULTS AND CONCLUSION:Compared with the blank control group,lipopolysaccharide time-dependently inhibited myofibroblast fusion to form myotubes,the mRNA expression levels of interleukin-6 and tumor necrosis factor α were elevated,and the level of interleukin-6 in the cell supernatant was significantly increased.The results of KEGG pathway showed that the nuclear factor-κB signaling pathway was activated by lipopolysaccharide.Indolepropionic acid exhibited significant suppression of C2C12 myoblasts viability when its concentration exceeded 80 μmol/L.Indolepropionic acid and SR9009 inhibited the activation of NF-κB signaling pathway,thereby played an anti-inflammatory role,and suppressed the mRNA expression levels of interleukin-6,tumor necrosis factor α,TLR4 and CD14.Compared with the lipopolysaccharide group,the ratio of p-NF-κB p65/NF-κB p65 protein expression were downregulated.SR9009 combined with indolepropionic acid notably reduced lipopolysaccharide-induced inflammation,further downregulated the mRNA expression levels of interleukin-6,tumor necrosis factor α,TLR4 and CD14.The ratio of p-NF-κB p65/NF-κB p65 protein expression was significantly lower than that in the SR9009+lipopolysaccharide group or indolepropionic acid+lipopolysaccharide group.Rev-erbα increases time-dependently with lipopolysaccharide induction.The knockdown efficiency of Rev-erbα by siRNA reached over 58%,and lipopolysaccharide was added after Rev-erbα was successfully knocked down.Compared with the lipopolysaccharide group,the mRNA expression levels of interleukin-6 and tumor necrosis factor α were significantly up-regulated.These results conclude that Rev-erbα may act as a promising pharmacological target to reduce inflammation.SR9009 targeted activation of Rev-erbα combined with indolepropionic acid significantly inhibits the nuclear factor-κB signaling pathway and attenuates the inflammatory response of C2C12 myofibroblasts.Moreover,the combined anti-inflammatory effect is superior to that of the intervention alone.

CD46 is a type Ⅰ transmembrane glycoprotein that participates in the classical pathway and alternative complement activation cascade in the innate immune system. CD46 is highly expressed on the surface of various tumor cells，playing a significant role in promoting tumor progression and immune evasion. Studies have found that the expression level of CD46 is closely related to the prognosis and immunotherapy outcomes of multiple tumors. Inhibition of CD46 expression or function can enhance the sensitivity of tumor cells to oncolytic adenovirus therapy，among others. However，the clinical application of CD46 in tumor immunotherapy still faces some challenges. This review summarizes the research progress in CD46 in tumor immunotherapy，aiming to further explore the mechanisms of CD46 and the clinical potential of potential therapeutic targets.

Objective:To assess the clinical value of digital PCR (dPCR) for the prenatal diagnosis of common fetal aneuploidies.Methods:A dPCR-based assay was developed for detecting trisomies 21, 18, and 13. A retrospective analysis was carried out on 173 amniotic fluid samples collected by the Prenatal Diagnosis Center of Taizhou Hospital between January 2017 and December 2023. By using chromosomal karyotyping as the gold standard, the diagnostic performance of the multiplex dPCR system was evaluated in a double-blind manner. This study has been approved by the Ethics Committee of Taizhou Hospital (Ethics No. K20250339).Results:Chromosomal karyotyping has identified 59 cases of trisomy 21, 5 cases of trisomy 18, 2 cases of trisomy 13, 6 cases with chromosomal structural abnormalities or mosaicisms, and 101 cases with a normal karyotype. The dPCR results ( Z-score cutoff = 4.0, CI = 99.997%) showed full concordance with karyotyping (sensitivity = 100%, specificity = 100%, Kappa = 1). Among the 6 structurally abnormal or mosaicism samples, dPCR has accurately detected 4 cases, but mis-classified 2 cases of trisomy 21 with very low-level mosaicisms (3.3%, 6.9%, respectively) as normal. Conclusion:The established multiplex dPCR system demonstrated high diagnostic accuracy for common chromosomal aneuploidies, with results available within 24 hours. It can serve as an efficient supplementary tool to conventional chromosomal karyotyping, providing reliable support for time-sensitive clinical decision-making in prenatal diagnosis.

Objective:To explore the clinical characteristics and healthcare burden in patients with McCune-Albright syndrome (MAS).Methods:A cross-sectional study was conducted at the Children′s Hospital, Zhejiang University School of Medicine. Clinical and healthcare burden data were systematically collected through structured questionnaires in 164 children with MAS from February 2022 to May 2023. According to the clinical characteristics, patients were categorized into 3 groups: monosymptomatic, bisymptomatic and trisymptomatic groups. Patients were also divided into 3 groups according to the age of <7, 7-<10 and 10-18 years. Comparative analyses of clinical characteristics and healthcare burden were conducted across age, sex, and symptom categories.Results:The cohort comprised 59 males (36.0%) and 105 females (64.0%) with an age of 4.6 (2.0, 7.4) years. Age stratification revealed 117 cases (71.3%) aged 0-<7 years, 29 cases (17.7%) aged 7-<10 years, and 18 cases (11.0%) aged 10-<18 years. Among monosymptomatic (67 cases, 40.9%), the cohort comprised 32 females (47.8%) and 35 males (52.2%), predominantly presenting with fibrous dysplasia (57 cases, 85.1%). This subgroup showed peak prevalence in the 0-<7 years age range (29 cases (50.9%)). The bisymptomatic cohort (56 cases, 34.1%) consisted of 39 females (69.6%) and 17 males (30.4%), predominantly manifesting fibrous dysplasia with skin hyperpigmentation (25 cases, 44.6%). Peak prevalence occurred in the 0-<7 years subgroup(16 cases (64.0%)). The trisymptomatic cohort (41 cases, 25.0%) consisted of 34 females (82.9%) and 7 males (17.1%), with peak prevalence occurring in the 0-<7 years subgroup (36 cases (87.8%)). The diagnostic journey analysis revealed 94 cases (57.3%) required 1-3 referrals, and 34 cases (20.7%) necessitated >3 referrals from symptom onset to definitive diagnosis. Healthcare expenditure analysis revealed 69 families (42.1%) incurred direct medical costs of 10 000-100 000 CNY, with 11 families (6.7%) exceeding >100 000 CNY. Direct non-medical costs reached of 10 000-100 000 CNY for 62 families (37.8%) and >100 000 CNY for 4 families (2.4%). Productivity loss affected 58 families (35.4%) at 10 000-100 000 CNY and 8 families (4.9%) above 100 000 CNY during the study period.Conclusion:MAS requires increased attention to skeletal manifestations, especially in children aged 0-<7 years. Moreover, the significant financial burden on families necessitates a society-wide support system.

Objective To analyze the factors affecting the prevalence of hyperuricemia(HUA)in an island troop.Methods A total of 1 113 soldiers stationed on an island from December 2021 to December 2022 were selected as research objects by cluster sampling.Their lifestyle and health information were collected.Physical examination and laboratory detection were conducted.Multivariate logistic regression was used to analyze the influencing factors of HUA.Results The prevalence rate of HUA was 21.02%(234/1 113).There were significant differences in the body mass index(BMI),waist-to-hip ratio,triglyceride,alanine aminotransferase,and creatinine between the soldiers with hyperuricemia and the soldiers with normal blood uric acid(P<0.05).Multivariate logistic regression analysis showed that BMI≥24(OR=1.49,95%CI:1.09-2.05),abnormal liver function(OR=2.26,95%CI:1.31-3.92),and dyslipidemia(OR=1.46,95%CI:1.01-2.12)were positively correlated with hyperuricemia;age>30 years old(OR=0.59,95%CI:0.37-0.93)and exercise time>1 h per week(OR=0.46,95%CI:0.22-0.97)were negatively correlated with HUA.Conclusion The prevalence rate of hyperuricemia is at a high level in an island troop.BMI≥24,age≤30 years old,exercise time≤1 h per week,abnormal liver function,and dyslipidemia are the risk factors for HUA.Prevention and control measures should be taken as early as possible for the soldiers with these risk factors.

Objective:Explore the protective effect and mechanism of methyl badosolone (CDDO-Me) on rats with traumatic brain injury (TBI).Methods:A total of 72 SPF-grade SD rats aged 8 weeks were randomly (random number) divided into 4 groups ( n=18) using the random number table method: Sham, TBI, TBI+Vehicle, and TBI+CDDO-Me. The rat TBI model was established using the hydraulic impact head injury method. The TBI+CDDO-Me group was administered CDDO-Me (dissolved in 1% DMSO, at a dose of 10 mg/kg) via intraperitoneal injection 30 minutes after modeling, twice a day for a total of 3 days. On the third day after modeling, brain tissue was collected for pathological and water content detection after mNSS scoring. Immunofluorescence double staining was used to detect the expression of nuclear factor erythroid2 related factor 2 (Nrf2); immunohistochemical staining was used to detect the expression of ionized calcium binding adapter molecule-1(Iba-1); ELISA was used to detect the levels of tumor necrosis factor-α(TNF-α), interleukin (IL)-1β, and IL-18 in serum; kits were used to detect the levels of malondialdehyde (MDA) and reactive oxygen species (ROS); Western blot was used to detect the expression of the Nrf2 pathway, B-cell lymphoma-2 (BCL-2), and BCL-2 associated X protein (BAX). Results:(1) Compared with the Sham group, the mNSS scores and water content in the injured cortex of the TBI group rats were significantly increased (both P<0.05), and both significantly decreased after CDDO-Me intervention (both P<0.05). (2) Compared with the Sham group, the proportion of Nissl-stained injured neurons and apoptotic positive cells in the TBI group rats were significantly increased (both P<0.05), and both significantly decreased after CDDO-Me intervention (both P<0.05), accompanied by a decrease in BAX protein expression and upregulation of BCL-2 protein expression (both P<0.05). (3) Immunofluorescence and Western blot results showed that compared with the Sham group, the expression of total Nrf2, nuclear Nrf2, HO-1, and NQO1 proteins in the TBI group were all increased (all P<0.05), and the increase was more significant after CDDO-Me intervention (all P<0.05). (4) Immunohistochemistry and ELISA results showed that compared with the Sham group, the levels of MDA, ROS, Iba-1 in brain tissue and the levels of TNF-α, IL-1β, and IL-18 in serum in the TBI group rats were all significantly increased (all P<0.05), and all significantly decreased after CDDO-Me intervention (all P<0.05). Conclusion:CDDO-Me helps to reduce oxidative stress and inflammatory responses in TBI rats, and the mechanism may be related to the activation of the Nrf2/HO-1 antioxidant stress pathway.

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.

Objective:To explore the relationship between memory bias, mental imagery, attention bias and depression in college students.Methods:From May to July 2024, a questionnaire was randomly distributed among 72 undergraduate students.The Beck depression inventory and Beck anxiety inventory were used to evaluate the depression and anxiety levels of all participants.The eye tracker was used to record the eye movement data of participants when observing emotional facial images.After the eye movement experiment, the scenario-based event completion task and prospective imagery task were used to collect the memory bias and mental imagery scores of all participants.SPSS 23.0 software was used for Spearman correlation analysis, and PROCESS 3.5 macro program was used for mediating effect test.Results:The scores of college students' negative memory bias, negative mental imagery, negative attention bias and depression were 0.40±0.15, 25.86±9.39, 0.41±0.14, 11.00(5.00, 20.00), respectively.Negative memory bias in college students was significantly and positively correlated with negative mental imagery, negative attention bias and depression ( r=0.832, 0.627, 0.834, all P<0.01).Negative mental imagery in college students was significantly and positively correlated with negative attention bias and depression ( r=0.692, 0.969, both P<0.01).Negative attention bias in college students was significantly and positively correlated with depression ( r=0.693, P<0.01).Negative mental imagery and negative attention bias had significant single chain mediating effect between negative memory bias and depression in college students, accounting for 16.61%(0.146/0.879), 15.70%(0.138/0.879)and 4.89%(0.043/0.879)of the total effect, respectively. Conclusion:There is a significant positive correlation between negative memory bias, negative mental imagery, negative attention bias and depression.Negative mental imagery and negative attention bias not only partially mediate the relationship between negative memory bias and depression in college students, but also have a chain mediating effect.

Objective To investigate the expression of leukocyte cell-derived chemotaxin 2(LECT2)and complement C3 in the serum of patients with autoimmune hepatitis(AIH),and their correlation with liver function grading and prognosis.Methods A total of 109 AIH patients admitted to our hospital from January 2022 to February 2024 were included as the observation group.According to the disease activity upon admission,they were grouped into the active group(59 cases)and the remission group(50 cases).According to the Child-Pugh grading,they were assigned into the grade A group(47 cases),the grade B group(40 cases),and the grade C group(22 cases).According to the prognosis,they were assigned into a poor prognosis group(35 cases)and a good prognosis group(74 cases),with 110 healthy volunteers who underwent physical checkup in our hospital as the control group.Enzyme linked immunosorbent assay(ELISA)was applied to measure serum LECT2 level.Immunoturbidimetry was applied to detect serum complement C3 level.The correlation between LECT2,complement C3 and clinical indexes was analyzed by Pearson correlation analysis.Spearman correlation analysis was applied to analyze the relationship between serum LECT2,complement C3,and Child-Pugh grading.Receiver operating characteristic(ROC)curves were established to evaluate the predictive value of LECT2 and complement C3 levels for poor prognosis in AIH patients.Results The serum level of LECT2 in the observation group was higher than that in the control group,and the level of complement C3 was lower than that in the control group(P＜0.05).The expression level of ELECT2 in the grade C group was prominently higher than that in the grade B group and grade A group,while the expression level of complement C3 was prominently lower than that in the grade B group and grade A group(P＜0.05).The level of serum LECT2 in poor prognosis group was higher than that in good prognosis group,and the level of serum complement C3 was lower than that in good prognosis group(P＜0.05).Pearson correlation analysis showed that LECT2 was positively correlated with IgG,IL-6,TNF-α and Th17/Treg,and negatively correlated with TGF-β,while complement C3 was negatively correlated(all P＜0.05);Spearman correlation analysis showed that LECT2 level was positively correlated with Child-Pugh grading,while complement C3 level was negatively correlated with Child-Pugh grading(rs=0.803,-0.875,both P＜0.05).ROC curve reveled that the AUC of serum LECT2 and complement C3 levels in predicting poor prognosis of AIH patients was 0.802 and 0.805,respectively,the AUC of their combined detection was 0.905,which was higher than that of single indicator detection(P＜0.05).Conclusion Serum LECT2 level is elevated and complement C3 level is reduced in AIH patients,and they are correlated with liver function grading and disease severity.The combined detection of the two can serve as serological indicators for evaluating liver function and predicting prognosis.