ObjectiveTo analyze the changes in the degree of coordination of China's major epidemic prevention and control efforts before and after the outbreak of the Corona Virus Disease 2019 (COVID-19), so as to explore the impact of epidemic prevention and control measures on coordination dynamics. MethodsA total of 3 864 policy documents related to epidemic prevention and control from January 2000 to December 2020 across 31 provinces (autonomous regions, and municipalities) in China were systematically collected. Contents specific to collaborative and cooperative efforts were extracted, and the extent of interdepartmental coordination were quantified to assess the effectiveness of epidemic prevention and control efforts. Wilcoxon signed-rank test was adopted to statistically analyze the differences between the indicators before and after the epidemic. ResultsThe average overall coordination level for major epidemic prevention and control in 31 provinces (autonomous regions, and municipalities) increased from 43.06% to 97.62%, and the average coordination levels in the eastern, central, and western China soared from 42.29%, 37.50%, and 47.46%, to 98.81%, 96.20%, and 97.46%, respectively, with statistically significant differences (all P<0.05). In terms of department categorization, coordination levels in the professional departments and the key support departments peaked at 100.00%, while other support departments rose to 95.43%, with an increase of 77.15%, 181.85%, and 139.89%, respectively, exhibiting noteworthy statistically significant differences (all P<0.001). ConclusionThe scope of coordination departments of China’s major epidemic prevention and control exists a remarkable surge following the COVID-19 outbreak, notable heightened coordination is particularly observed among the key support departments. Future endeavors should prioritize the roles played by diverse departments in epidemic prevention and control, enhancing both the clarity of departmental responsibilities and the effectiveness of interdepartmental coordination.

ObjectiveTo systematically evaluate the public health governance capacity of 40 cities in Jiangsu, Zhejiang, and Anhui Provinces, providing a scientific evaluation basis for building a "Healthy Yangtze River Delta". MethodsA comprehensive collection of policy documents, public information reports, and research literature related to public health governance capacity in Jiangsu, Zhejiang, and Anhui Provinces was conducted, totaling 6 920 policy documents, 1 720 information reports, and 1 200 literature pieces. Based on the evaluation standards for an appropriate public health system established by the research team, the basic status of public health governance capacity was assessed to identify the strengths and weaknesses of the 40 cities. ResultsIn 2022, the public health governance capacity score for the 40 cities in Jiangsu, Zhejiang, and Anhui Provinces was (562.5±38.0) points. In terms of specific areas, the emergency response field received the highest score of (791.4±49.7) points, while the chronic disease prevention and control field received the lowest score of (368.2±29.6) points. The Jiangsu-Zhejiang-Anhui region has largely achieved the strategic priority of health, gradually improved public health legal regulations, and established a basic organizational framework with a solid foundation for information and data infrastructure. However, challenges still need to be addressed, such as unstable government funding for public health, unclear departmental responsibilities, and barriers to information interoperability. ConclusionThe public health governance capacity of the 40 cities in Jiangsu, Zhejiang, and Anhui Province has been at a moderate level, but disparities have still existed across regions and fields. In the future, while continuing to deepen existing advantages, it is essential to accurately identify the causes of problems, establish a long-term and stable investment mechanism, enhance information connectivity mechanisms, further clarify departmental responsibilities, and promote the achievement of the "Healthy Yangtze River Delta" goal.

AIM: To explore the diagnostic value of combining the corneal stress-strain index(SSI)with corneal biomechanical parameters for early keratoconus.METHODS:A retrospective study was conducted on 34 patients(53 eyes)with early keratoconus diagnosed and treated in our hospital from March 2022 to February 2024. Additionally, 112 normal volunteers(112 eyes)who underwent physical examinations in our hospital during the same period were selected as a healthy control group. The CorvisST equipment was utilized for measurement and recorded deformation with Scheimpflug camera to obtain 10 biomechanical parameters: first applanation time(A1T), first applanation length(A1L), velocity of initial applanation(Vin), second applanation time(A2T), second applanation length(A2L), velocity of outward applanation(Vout), highest concavity time(HCT), highest concavity depth of applanation(HCDA), highest concavity radius(HCR), and peak distance(PD), as well as stress-strain index(SSI), and the corneal biomechanical parameters of the two groups were compared. Furthermore, Logistic regression analysis was used to identify the risk factors for keratoconus, and ROC curves were plotted to analyze the biomechanical parameters of the cornea for early diagnosis of keratoconus.RESULTS:The SSI(0.77±0.17)in patients with keratoconus was lower than that in healthy controls(1.01±0.24; P<0.001). Patients with keratoconus had lower A1T, A1L, A2L, and HCR, and higher Vout, HCDA, and PD compared to healthy controls(all P<0.001). Logistic regression analysis showed that decreased SSI, A1T, A1L, A2L, and HCR, as well as increased Vout, HCDA, and PD, were risk factors for the development of keratoconus(P<0.001). ROC curve analysis showed that the AUC value for combined diagnosis of early keratoconus was 0.997, with a Youden's index of 0.954, sensitivity and specificity of 98.1% and 97.3%, respectively, and a 95% CI of 0.994-1.000.CONCLUSION:The combination of SSI and corneal biomechanical parameters holds diagnostic significance for early keratoconus, and the joint diagnostic value is even higher. It can be considered as a diagnostic or screening indicator for early keratoconus.

Objective To investigate the effect of hemoglobin A1c variability on the incidence of malignant tumors in type 2 diabetes mellitus (T2DM) patients, and to provide a reference for the prevention and treatment of diabetes. Methods A retrospective cohort study was used to integrate Shanghai malignant tumor registration information and T2DM patient management information of Minhang Districts in Shanghai. A record linkage was carried out using ID numbers for patients who had been diagnosed through the Cancer Registry System. Average Real Variability（ARV）was used to assess the variability for hemoglobin A1c results, with no less than 3 measurements and no more than 1 follow-up visit per year. Cox proportional hazards regression models and Restricted Cubic Splines (RCS) were used for statistical analysis. ARV was grouped using quartile classification, represented by Q1, Q2, Q3, and Q4, respectively. Cox regression was performed using unadjusted model I and model II adjusted for gender, age, and group. Results A total of 2 762 research subjects were included in the present study, with 45.84% males and 54.16% females. The average age was (63.58±10.11) years, and an average follow-up time was (9.96±3.66) years. Malignant tumor incidence rate was 345.45/100 000 person years. There was statistical significance among different ARV groups (P=0.01). COX regression analysis of model I and model II showed that compared with Q1, the risk of Q4 group was significantly increased, with HRs of 2.72 (1.56-4.74) and 2.68 (1.53-4.68), respectively. The RCS graph's analysis showed that except for the ≥65-year-old group, the risk of tumor incidence gradually increased with the increase of ARV coefficient. Conclusion The variability of hemoglobin A1c is positively associated with the risk of occurrence of malignant tumors in type 2 diabetes patients. It is necessary to strengthen the monitoring of hemoglobin A1c and to reduce the health hazards caused by fluctuations in hemoglobin A1c.

Objective To investigate the effect of hemoglobin A1c variability on the incidence of malignant tumors in type 2 diabetes mellitus (T2DM) patients, and to provide a reference for the prevention and treatment of diabetes. Methods A retrospective cohort study was used to integrate Shanghai malignant tumor registration information and T2DM patient management information of Minhang Districts in Shanghai. A record linkage was carried out using ID numbers for patients who had been diagnosed through the Cancer Registry System. Average Real Variability（ARV）was used to assess the variability for hemoglobin A1c results, with no less than 3 measurements and no more than 1 follow-up visit per year. Cox proportional hazards regression models and Restricted Cubic Splines (RCS) were used for statistical analysis. ARV was grouped using quartile classification, represented by Q1, Q2, Q3, and Q4, respectively. Cox regression was performed using unadjusted model I and model II adjusted for gender, age, and group. Results A total of 2 762 research subjects were included in the present study, with 45.84% males and 54.16% females. The average age was (63.58±10.11) years, and an average follow-up time was (9.96±3.66) years. Malignant tumor incidence rate was 345.45/100 000 person years. There was statistical significance among different ARV groups (P=0.01). COX regression analysis of model I and model II showed that compared with Q1, the risk of Q4 group was significantly increased, with HRs of 2.72 (1.56-4.74) and 2.68 (1.53-4.68), respectively. The RCS graph's analysis showed that except for the ≥65-year-old group, the risk of tumor incidence gradually increased with the increase of ARV coefficient. Conclusion The variability of hemoglobin A1c is positively associated with the risk of occurrence of malignant tumors in type 2 diabetes patients. It is necessary to strengthen the monitoring of hemoglobin A1c and to reduce the health hazards caused by fluctuations in hemoglobin A1c.

[摘 要] 目的：探讨miR-3612靶向信号素（SEMA）4C对肝细胞癌细胞增殖与侵袭能力的影响。方法: 收集2020年5月至2021年9月间在皖南医学院第一附属医院弋矶山医院手术切除的肝细胞肝癌的40对癌组织和相应癌旁组织，常规培养肝细胞癌Hep3B和Huh7细胞，将其分为对照组、miR-3612 mimics-NC组、miR-3612 mimics组、miR-3612 inhibitor-NC组、miR-3612 inhibitor组、si-NC组、si-SEMA4C组、mimics-NC+pcDNA-NC组、miR-3612 mimics+pcDNA-NC组和miR-3612 mimics+pcDNA-SEMA4C组，用转染试剂将相应的核酸和质粒转染各组细胞。qPCR法检测miR-3612和SEMA4C mRNA在肝细胞癌组织和Hep3B和Huh7细胞中的表达，双荧光素酶报告基因实验和免疫共沉淀（RIP）实验验证miR-3612与SEMA4C的结合及调控关系，qPCR法和WB法检测转染后各组Hep3B和Huh7细胞中miR-3612、SEMA4C mRNA和蛋白的表达，CCK-8法、细胞划痕实验和Transwell小室实验分别检测各组Hep3B和Huh7细胞的增殖、迁移和侵袭能力。结果: miR-3612在肝细胞癌组织和Hep3B和Huh7细胞中呈低表达（P<0.001），而SEMA4C则呈高表达（P<0.001），过表达miR-3612可抑制Hep3B和Huh7细胞的增殖、迁移、侵袭和vimentin、SEMA4C蛋白的表达，促进E-cadherin蛋白的表达（P<0.05或P<0.01或P<0.001），敲低miR-3612则促进Hep3B和Huh7细胞的增殖、迁移、侵袭和SEMA4C蛋白的表达（P<0.05或P<0.01或P<0.001）。双荧光素酶报告基因实验和RIP实验证实miR-3612与SEMA4C可直接结合（P<0.001），miR-3612与SEMA4C的表达呈负相关也间接证明了这一点（P<0.001）。敲减SEMA4C能明显抑制Hep3B、Huh7细胞的增殖、侵袭和迁移能力（P<0.05或P<0.01或P<0.001），过表达SEMA4C可逆转过表达miR-3612对Hep3B和Huh7细胞增殖、迁移、侵袭和EMT的抑制作用（P<0.05或P<0.01或P<0.001）。结论: miR-3612通过调控SEMA4C表达影响Hep3B和Huh7细胞的恶性生物学行为，miR-3612有望成为临床肝细胞癌治疗的潜在靶点。

Objective·To explore the correlation between body compositions and cardiovascular fitness(CRF)in patients with coronary heart disease(CHD).Methods·The CHD patients(CHD group)who underwent elective percutaneous coronary intervention treatment at Renji Hospital,Shanghai Jiao Tong University School of Medicine from October 2022 to June 2023 as well as healthy people(control group)were selected.All the participants completed cardiopulmonary exercise testing(CPET)to determine CRF and bioelectrical impedance analysis(BIA)to determine body compositions on the same day.Results·A total of 191 patients with coronary heart disease and 188 healthy individuals were included.There was no statistically significant difference in baseline characteristics between the two groups.Compared with the control group,the CRF indicators of the CHD group were significantly reduced(all P<0.05).In terms of body composition indicators,the trunk muscle mass(TMM)of the CHD group was significantly lower than that of the control group(P<0.01),and the trunk fat mass(TFM)was significantly higher than that of the control group(P<0.01).Correlation analysis showed that TMM(R=0.538),lower limbs muscle mass(LMM)(R=0.754),and lower limbs fat mass(LFM)(R=0.593)were positively correlated with peak oxygen uptake per kilogram of bodyweight(VO2peak/kg)in the CHD group(all P<0.01),while TFM(R=-0.563)was negatively correlated with VO2peak/kg(P<0.01).There was no statistically significant correlation between other body composition indicators and VO2peak/kg.According to VO2peak/kg,the CHD patients were divided into low CRF group,medium CRF group,and high CRF group.The results showed that there were statistically significant differences in LMM,TMM,LFM,and TFM among the three groups of patients(all P<0.05).Multiple linear regression analysis suggested that age,gender,TMM,TFM,LMM,and LFM were related factors of VO2peak/kg in the patients with CHD.The VO2peak/kg of CHD patients increased with the increase of TMM,LMM,and LFM and the decrease of age and TFM;the female patients had lower VO2peak/kg compared to the males.Conclusion·The CRF of CHD patients is significantly lower than that of the healthy population,with higher TFM and lower TMM;in the CHD patients,CRF is negatively correlated with TFM and positively correlated with TMM,LMM,and LFM.

Objective:To investigate the prevalence of adult skeletal fluorosis caused by drinking tea-type endemic fluorosis in Yushu Tibetan Autonomous Prefecture (hereinafter referred to as Yushu Prefecture), Qinghai Province, and provide scientific basis for prevention and control of the disease.Methods:In August 2021, one village was selected as a survey site in six counties (cities) in Yushu Prefecture, including Nangqian, Chindu, Yushu, Zadoi, Qumarlêb, and Zhiduo. Drinking water samples and 10 brick tea samples were collected from each village to determine the fluoride content in water and brick tea; at least 100 permanent residents aged ≥ 25, who had a habit of drinking brick tea and had lived in the local area for more than 5 years, were selected for X-ray imaging to examine the prevalence of adult skeletal fluorosis.Results:A total of 75 samples of residential drinking water were collected, with a fluoride content of (0.21 ± 0.05) mg/L, ranging from 0.11 to 0.34 mg/L; 60 samples of brick tea, with a fluoride content of (626.70 ± 157.27) mg/kg, ranging from 324.00 to 2 102.00 mg/kg. A total of 1 136 adults were examined, and 318 cases of skeletal fluorosis were diagnosed, with a detection rate of 27.99%. Among them, the detection rates of mild, moderate, and severe skeletal fluorosis were 20.95% (238/1 136), 6.07% (69/1 136), and 0.97% (11/1 136), respectively, with mild symptoms being the main. The detection rates of skeletal fluorosis in males and females were 29.09% (121/416) and 27.36% (197/720), respectively, with no statistically significant difference between the gender (χ 2 = 0.39, P = 0.533). Comparison of the skeletal fluorosis in different gender, the differences were statistically significant (χ 2 = 22.31, P < 0.001). The detection rates of skeletal fluorosis in the age groups of 25 - 35, 36 - 45, 46 - 55, 56 - 65, 66 - 75, and ≥76 years old were 6.86% (7/102), 22.37% (51/228), 24.02% (92/383), 37.44% (73/195), 43.48% (70/161), and 37.31% (25/67), respectively. The differences between the groups were statistically significant (χ 2 = 59.84, P < 0.001). Moreover, there was a statistically significant difference in the composition of skeletal fluorosis among different age groups ( H = 37.66, P < 0.001). The Spearman correlation analysis results showed that the severity of adult skeletal fluorosis was positively correlated with age ( r = 0.34, P < 0.001). Conclusions:There is a certain degree of prevalence of adult skeletal fluorosis in Yushu Prefecture. And as age increases, the condition of skeletal fluorosis becomes more severe.

Objective To investigate the effect of Alogliptin benzoate on the serum autophagy markers in type 2 diabetes mellitus(T2DM)patients.Methods Eighty newly diagnosed T2DM patients who visited the Department of Endocrinology in Baoding No.1 Central Hospital from December 2021 to October 2022 were randomly divided into a group treated with Metformin(Met group,n=40)and a group treated with Met and Alog(Met+Alog group,n=40).The differences in BMI,WHR,FPG,HbA1c,Atg7 and Beclin-1 between two groups before and after 12 weeks of treatment were compared.Results After treatment,the levels of Atg7 and Beclin-1 increased in both groups(P<0.05),while FPG,HbA1c and HOMA-IR decreased(P<0.05).After treatment,Atg7,Beclin-1 and HDL-C in Met+Alog group were higher than those in Met group(P<0.05).Pearson correlation analysis showed that Atg7 was negatively correlated with BMI,FPG and HbA1c(P<0.05);Beclin-1 was positively correlated with HDL-C(P<0.05),and negatively correlated with BMI,FPG,HbA1c,and TG(P<0.05).Meta linear regression analysis showed that BMI was the influencing factor of Atg7,while BMI and HDL-C were the influencing factors of Beclin-1.Conclusion Alogliptin benzoate may improve islet β cell function by up-regulating the expression of autophagy related factors Atg7 and Beclin-1 in patients with T2DM.

ObjectiveTo investigate the role and mechanism of podoplanin （PDPN） in hepatic stellate cell （HSC） activation and liver fibrosis. MethodsLiver biopsy samples were collected from 75 patients with chronic hepatitis B who attended Department of Infectious Diseases， Putuo Hospital Affiliated to Shanghai University of Traditional Chinese Medicine， for the first time from September 2019 to June 2022， and RT-PCR and immunohistochemistry were used to measure the expression of PDPN in liver tissue of patients in different stages of liver fibrosis. A total of 12 male C57/BL6 mice were randomly divided into control group and model group. The mice in the model group were given intraperitoneal injection of 10% CCl₄， and those in the control group were injected with an equal volume of olive oil， for 6 weeks. HE staining and Sirius Red staining were used to observe liver histopathological changes； primary mouse liver cells were separated to measure the mRNA expression of PDPN in various types of cells； primary mouse HSCs were treated with PDPN protein， followed by treatment with the NF-‍κB inhibitor BAY11-708， to measure the expression of inflammatory factors in HSCs induced by PDPN. The independent-samples t test was used for comparison of normally distributed continuous data between two groups； a one-way analysis of variance was used for comparison between multiple groups， and the least significant difference t-test was used for further comparison between two groups. The Spearman correlation analysis was used to investigate data correlation. ResultsAs for the liver biopsy samples， there was a relatively low mRNA expression level of PDPN in normal liver， and there was a significant increase in the mRNA expression level of PDPN in liver tissue of stage S3 or S4 fibrosis （all P<0.001）. Immunohistochemical staining showed that PDPN was mainly expressed in the fibrous septum and the hepatic sinusoid， and the PDPN-positive area in S4 liver tissue was significantly higher than that in S0 liver tissue （t=8.892， P=0.001）. In normal mice， PDPN was mainly expressed in the hepatic sinusoid， and there was a significant increase in the expression of PDPN in CCl₄ model mice （t=0.95， P<0.001）， mainly in the fibrous septum. RT-PCR showed a significant increase in the mRNA expression of PDPN in the CCl₄ model mice （t=11.25， P=0.002）. Compared with hepatocytes， HSCs， Kupffer cells， and bile duct endothelial cells， hepatic sinusoidal endothelial cells showed a significantly high expression level of PDPN （F=20.56， P<0.001）. Compared with the control group， the primary mouse HSCs treated by PDPN protein for 15 minutes showed significant increases in the mRNA expression levels of the inflammation-related factors TNFα， CCL3， CXCL1， and CXCR1 （all P<0.05）， and there were significant reductions in the levels of these indicators after treatment with BAY11-7082 （all P<0.05）. ConclusionThere is an increase in the expression of PDPN mainly in hepatic sinusoidal endothelial cells during liver fibrosis， and PDPN regulates HSC activation and promotes the progression of liver fibrosis via the NF-κB signaling pathway.