Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

Objective:To explore the role of Caveolin-1 (CAV-1) in radiation-induced premature senescence of vascular endothelial cells.Methods:A cell model with stable knockdown of CAV-1 was constructed in human microvascular endothelial cells (HMEC-1) by lentiviral transfection using puromycin screening. The cells were divided into NC group and sh-CAV-1 group based on whether they were infected with lentivirus shRNA-CAV-1. The protein expression levels of CAV-1, p53 and p21 were detected by Western blot at 24, 48, and 72 h after 0, 2, and 4 Gy X-ray irradiation. The β-galactosidase staining kit was used to detect β-galactosidase in cells. CCK-8 kit was used to detect cell viability, and vascular endothelial cell function was detected by vascular tube-forming assay.Results:CAV-1 protein expression was significantly decreased at 48 h after 2 and 4 Gy X-ray irradiation ( t=3.50, 3.89, P < 0.05), and β-galactosidase in sh-CAV-1 group was significantly increased at 72 h after 0, 2 and 4 Gy X-ray irradiation ( t=12.91, 11.54, 6.04, P < 0.05) compared with the NC group. Knockdown of CAV-1 resulted in the decrease in the expression level of the cellular senescence-associated protein p53 protein ( t=4.09, 3.13, 3.43, P < 0.05), but increase in the expression level of p21 protein ( t=-3.63, -3.33, -3.06, P < 0.05). Compared with the NC group, knockdown CAV-1 significantly decreased cell viability ( t=2.97-25.89, P<0.05) and reduced vessel-forming capacity ( t=3.39-39.68, P < 0.05). Conclusions:CAV-1 is involved in the process of radiation-induced premature senescence of vascular endothelial cells through positive regulation of p53 and negative regulation of p21.

[Purpose]To analyze the incidence and mortality of colorectal cancer in Zhejiang can-cer registration areas in 2021 and its temporal trends from 2000 to 2021.[Methods]Data from 22 cancer registries in Zhejiang Province in 2021 that met the quality standards were included.The crude incidence/mortality rate,age-standardized incidence/mortality rates by Chinese standard population(ASIRC/ASMRC)and by world standard population(ASIRW/ASMRW),and cumulative incidence(mortality)rate for 0～74 years old were calculated.Trends from 2000 to 2021 were ana-lyzed using the Joinpoint regression model by calculating the annual percentage change(APC)and average annual percentage change(AAPC).[Results]In 2021,the number of new colorectal cancer cases in Zhejiang cancer registration areas was 12 265,with 4 323 deaths.ASIRC and ASMRC were significantly higher in men(32.74/105 and 10.11/105)than those in women(20.78/105 and 5.99/105).Urban areas showed higher ASIRC and ASMRC(28.27/105 and 8.06/105)than rural areas(24.12/105 and 7.85/105).The age-specific incidence and mortality rates of colorectal cancer in Zhejiang Province showed an increasing trend with age,with a peak of 219.63/105 in the age group of 80～84 years old.The age-specific mortality rate peaked in the age group of 85 years old and above,with a peak of 199.65/105.From 2000 to 2021,ASIRC in Zhejiang Province showed an upward trend(AAPC=2.23％,P＜0.001),ASMRC showed a marginal increase(AAPC=0.78％,P=0.067).[Conclusion]The incidence of colorectal cancer in Zhejiang Province had been on a continuous rise in the past 22 years,and health education and early screening should be empha-sized.

Objective:To investigate the association between the triglyceride-glucose(TyG)index and the incidence and mortality of cardiovascular disease(CVD)in a large population-based cohort.Methods:Participants aged 40-79 years without a history of CVD at baseline were drawn from the CHi-nese Electronic health Records Research in Yinzhou(CHERRY)study between January 1,2010,and May 31,2020.The TyG index was calculated using baseline triglyceride and fasting blood glucose.Cox proportional hazards models were used to assess the association between the TyG index and the composite outcome of CVD(incidence and mortality),adjusting for age,gender,education,region,smoking sta-tus,body mass index,systolic blood pressure,and total cholesterol.Hazard ratios(HR)and 95％confi-dence intervals(CI)were calculated.Nonlinear associations between the TyG index and CVD were fur-ther evaluated using restricted cubic splines,and subgroup analyses by gender and age were conducted to explore potential differences.Results:A total of 226 406 individuals were included,with a mean age of(55.0±9.7)years at baseline,46.8％of whom were men,and a median TyG index of 8.68.Over a median follow-up of 7.99 years,9 815(4.34％)participants experienced CVD incidence or mortality.After adjusting for age,gender,education,region,smoking status,body mass index,systolic blood pressure and total cholesterol,the risk of CVD increased with higher TyG index levels(P＜0.001).The risk in the highest TyG quartile(TyG＞9.10)was 42％higher than in the lowest quartile(TyG ≤8.32)(HR=1.42,95％CI:1.34-1.51).Individuals under 60 years had a higher HR for CVD compared with those aged 60 years and above(HR:1.71 vs.1.27,P＜0.05).Restricted cubic spline analysis revealed a reverse L-shaped association between the TyG index and CVD risk in the overall population(P＜0.001 for nonlinear trend),with risk increasing after the TyG index exceeded 8.67.However,the threshold varied by gender,with a lower threshold in women(8.51)than in men(8.67).Conclusion:A significant nonlinear relationship was revealed between the TyG index and CVD risk,with a threshold effect.The risk of CVD increased once the TyG index surpassed a certain threshold,with a lower threshold in women than in men.These findings suggest that cardiovascular risk prediction and interven-tions based on the TyG index should be gender-stratified,and early intervention for individuals under 60 years old might have important public health implications.

Objectives:To describe the use of antihypertensive, antidiabetic and lipid-lowering drugs, and evaluate the effects on blood pressure, blood glucose and blood lipids controls required by Chinese Guideline on the Primary Prevention of Cardiovascular Diseases (the guideline) in a community-based cohort of individuals at high risk for cardiovascular disease. To analyze the association of the uses of antihypertensive, antidiabetic and lipid-lowering drugs, and the comprehensive control of blood pressure, blood glucose and blood lipids with cardiovascular disease. Methods:From the CHinese Electronic health Records Research in Yinzhou (CHERRY), those who were at high risk for cardiovascular disease and aged 40-75 years as of January 1, 2013 in in Yinzhou District of Ningbo, Zhejiang Province were selected as study subjects. The information about their antihypertensive, antidiabetic, and lipid-lowering drug uses between 2013 and 2015 was collected, and blood pressure, blood glucose, and blood lipid measurements were conducted during the follow-up. The study constructed two kinds of comprehensive scores: the comprehensive medication score based on the guideline requirement for the treatment of hypertension, diabetes and hyperlipidemia, dividing the study participants into the compliancy group and non-compliancy group; and the comprehensive control score based on the guideline requirement for blood pressure, blood glucose, and blood lipids control, dividing the study participants into better control group, moderate control group, and poor control group. Cox proportional hazards regression model was used to analyze the association of the comprehensive medication score and comprehensive control score with cardiovascular disease. The incidence data of cardiovascular disease were collected from January 1, 2015 (baseline time) to August 31, 2020 (follow up end time).Results:A total of 79 734 participants at high risk for cardiovascular disease were included in the study, in whom 68.4%, 27.4%, and 4.2% had 1, 2, or 3 cardiometabolic conditions (hypertension, diabetes, or hyperlipidemia), respectively. In the participants with hypertension, diabetes, and hyperlipidemia from 2013 to 2015, the proportions of those who had two years of medication compliancy records were 66.0%, 67.4%, and 13.9%, respectively. In the hypertension patients, 59.2% had better blood pressure control, in the diabetes patients, 28.7% had better blood glucose control, and in the patients with hyperlipidemia, 27.4% had better blood lipid control. After a median follow-up of 5.66 years, 4 088 cardiovascular disease cases or deaths occurred. After multivariate adjustment, compared with the non-compliancy group, the compliancy group had lower risk for cardiovascular disease ( HR=0.91, 95% CI: 0.85-0.96). Compared with the better control group, the poor control group had an increased risk for cardiovascular disease ( HR=1.67, 95% CI: 1.53-1.81). In the moderate control group, the risk increased significantly in the diabetes patients ( HR=1.29, 95% CI: 1.07-1.56), while no additional risk for cardiovascular disease was observed in non-diabetes patients ( HR=1.06, 95% CI: 0.97-1.16). Conclusions:Compliancy to the medication required by the guideline is associated with lower risk for cardiovascular disease. However, it is still necessary to improve the medication compliancy in people at high risk in primary prevention, especially in the patients with hyperlipidemia, due to their low taking rate of lipid-lowering drugs. Additionally, as the requirement of the guideline becomes more stringent, the management of disease has met more challenges. Notably, diabetes patients who have not met the guideline requirement are at high risk for cardiovascular disease, to whom the disease management should be strengthened.

[Purpose]To analyze the incidence and mortality of colorectal cancer in Zhejiang can-cer registration areas in 2021 and its temporal trends from 2000 to 2021.[Methods]Data from 22 cancer registries in Zhejiang Province in 2021 that met the quality standards were included.The crude incidence/mortality rate,age-standardized incidence/mortality rates by Chinese standard population(ASIRC/ASMRC)and by world standard population(ASIRW/ASMRW),and cumulative incidence(mortality)rate for 0～74 years old were calculated.Trends from 2000 to 2021 were ana-lyzed using the Joinpoint regression model by calculating the annual percentage change(APC)and average annual percentage change(AAPC).[Results]In 2021,the number of new colorectal cancer cases in Zhejiang cancer registration areas was 12 265,with 4 323 deaths.ASIRC and ASMRC were significantly higher in men(32.74/105 and 10.11/105)than those in women(20.78/105 and 5.99/105).Urban areas showed higher ASIRC and ASMRC(28.27/105 and 8.06/105)than rural areas(24.12/105 and 7.85/105).The age-specific incidence and mortality rates of colorectal cancer in Zhejiang Province showed an increasing trend with age,with a peak of 219.63/105 in the age group of 80～84 years old.The age-specific mortality rate peaked in the age group of 85 years old and above,with a peak of 199.65/105.From 2000 to 2021,ASIRC in Zhejiang Province showed an upward trend(AAPC=2.23％,P＜0.001),ASMRC showed a marginal increase(AAPC=0.78％,P=0.067).[Conclusion]The incidence of colorectal cancer in Zhejiang Province had been on a continuous rise in the past 22 years,and health education and early screening should be empha-sized.

Objective:To explore the role of Caveolin-1 (CAV-1) in radiation-induced premature senescence of vascular endothelial cells.Methods:A cell model with stable knockdown of CAV-1 was constructed in human microvascular endothelial cells (HMEC-1) by lentiviral transfection using puromycin screening. The cells were divided into NC group and sh-CAV-1 group based on whether they were infected with lentivirus shRNA-CAV-1. The protein expression levels of CAV-1, p53 and p21 were detected by Western blot at 24, 48, and 72 h after 0, 2, and 4 Gy X-ray irradiation. The β-galactosidase staining kit was used to detect β-galactosidase in cells. CCK-8 kit was used to detect cell viability, and vascular endothelial cell function was detected by vascular tube-forming assay.Results:CAV-1 protein expression was significantly decreased at 48 h after 2 and 4 Gy X-ray irradiation ( t=3.50, 3.89, P < 0.05), and β-galactosidase in sh-CAV-1 group was significantly increased at 72 h after 0, 2 and 4 Gy X-ray irradiation ( t=12.91, 11.54, 6.04, P < 0.05) compared with the NC group. Knockdown of CAV-1 resulted in the decrease in the expression level of the cellular senescence-associated protein p53 protein ( t=4.09, 3.13, 3.43, P < 0.05), but increase in the expression level of p21 protein ( t=-3.63, -3.33, -3.06, P < 0.05). Compared with the NC group, knockdown CAV-1 significantly decreased cell viability ( t=2.97-25.89, P<0.05) and reduced vessel-forming capacity ( t=3.39-39.68, P < 0.05). Conclusions:CAV-1 is involved in the process of radiation-induced premature senescence of vascular endothelial cells through positive regulation of p53 and negative regulation of p21.

Objectives:To describe the use of antihypertensive, antidiabetic and lipid-lowering drugs, and evaluate the effects on blood pressure, blood glucose and blood lipids controls required by Chinese Guideline on the Primary Prevention of Cardiovascular Diseases (the guideline) in a community-based cohort of individuals at high risk for cardiovascular disease. To analyze the association of the uses of antihypertensive, antidiabetic and lipid-lowering drugs, and the comprehensive control of blood pressure, blood glucose and blood lipids with cardiovascular disease. Methods:From the CHinese Electronic health Records Research in Yinzhou (CHERRY), those who were at high risk for cardiovascular disease and aged 40-75 years as of January 1, 2013 in in Yinzhou District of Ningbo, Zhejiang Province were selected as study subjects. The information about their antihypertensive, antidiabetic, and lipid-lowering drug uses between 2013 and 2015 was collected, and blood pressure, blood glucose, and blood lipid measurements were conducted during the follow-up. The study constructed two kinds of comprehensive scores: the comprehensive medication score based on the guideline requirement for the treatment of hypertension, diabetes and hyperlipidemia, dividing the study participants into the compliancy group and non-compliancy group; and the comprehensive control score based on the guideline requirement for blood pressure, blood glucose, and blood lipids control, dividing the study participants into better control group, moderate control group, and poor control group. Cox proportional hazards regression model was used to analyze the association of the comprehensive medication score and comprehensive control score with cardiovascular disease. The incidence data of cardiovascular disease were collected from January 1, 2015 (baseline time) to August 31, 2020 (follow up end time).Results:A total of 79 734 participants at high risk for cardiovascular disease were included in the study, in whom 68.4%, 27.4%, and 4.2% had 1, 2, or 3 cardiometabolic conditions (hypertension, diabetes, or hyperlipidemia), respectively. In the participants with hypertension, diabetes, and hyperlipidemia from 2013 to 2015, the proportions of those who had two years of medication compliancy records were 66.0%, 67.4%, and 13.9%, respectively. In the hypertension patients, 59.2% had better blood pressure control, in the diabetes patients, 28.7% had better blood glucose control, and in the patients with hyperlipidemia, 27.4% had better blood lipid control. After a median follow-up of 5.66 years, 4 088 cardiovascular disease cases or deaths occurred. After multivariate adjustment, compared with the non-compliancy group, the compliancy group had lower risk for cardiovascular disease ( HR=0.91, 95% CI: 0.85-0.96). Compared with the better control group, the poor control group had an increased risk for cardiovascular disease ( HR=1.67, 95% CI: 1.53-1.81). In the moderate control group, the risk increased significantly in the diabetes patients ( HR=1.29, 95% CI: 1.07-1.56), while no additional risk for cardiovascular disease was observed in non-diabetes patients ( HR=1.06, 95% CI: 0.97-1.16). Conclusions:Compliancy to the medication required by the guideline is associated with lower risk for cardiovascular disease. However, it is still necessary to improve the medication compliancy in people at high risk in primary prevention, especially in the patients with hyperlipidemia, due to their low taking rate of lipid-lowering drugs. Additionally, as the requirement of the guideline becomes more stringent, the management of disease has met more challenges. Notably, diabetes patients who have not met the guideline requirement are at high risk for cardiovascular disease, to whom the disease management should be strengthened.