1.Phenotypes of a mouse model of specific deubiquitinase Otulin gene knockout in the endocardium
Yadi LYU ; Yesheng FU ; Lingqiang ZHANG
Military Medical Sciences 2024;48(4):260-266
Objective To construct a mouse model with conditional knockout of deubiquitinase Otulin gene in the endocardium and to analyze the phenotype ofthe model.Methods A model ofmice with endocardium-specific conditional Otulin gene knockout was constructed with the Cre-loxP technique.The genotypes of Otulin gene knockout mice were determined by using polymerase chain reaction(PCR).Data on the reproduction of the knockout mice was statistically analyzed and the growth and development of the offspring were observed.The Cardiac function of mice was monitored by ultrasound and the changes of cellular components in blood were measured by a fully automatic hematology analyzer.Hematoxylin-eosin(HE)staining was used to analyze the pathological changes in all the tissues and organs ofthe offspring.Results An endocardium-specific Otulin gene knockout mouse model was established.The conditional knockout mice could grow and reproduce normally and the percentage of genotypes of their offspring conformed to Mende's law.Compared with littermate control mice,the conditional knockout mice had smaller body size,lighter weight,significantly enlarged spleens and spiking inflammatory cells in blood.In addition,the tricuspid valve defect and cardiac function were attenuated.Conclusion A mouse model of endocardium-specific Otulin gene knockout has been constructed.These mice show impaired cardiac function and obvious inflammatory response.
2.Metabolic syndrome components and breast cancer risk in Chinese females: a population based prospective study
Xinyang YU ; Xin LI ; Yan WEN ; Zhuoyu YANG ; Yadi ZHENG ; Xiaoshuang FENG ; Zhangyan LYU ; Ni LI ; Jie HE
Chinese Journal of Preventive Medicine 2021;55(3):359-364
Objective:To investigate the relationship between metabolic syndrome (MS) and the risk of breast cancer in Chinese females.Methods:From May 2006 to December 2015, based on the Kailuan Women′s Dynamic Cohort,a total of 25 618 female employees and retirees of the Kailuan Group were included and followed. Questionnaire surveys, physical measurements and laboratory tests were used to collect baseline sociodemographic characteristics, height, weight, blood glucose, blood lipids, blood pressure, tumor incidence and outcome information. Cox proportional hazards regression models were used to analyze the relationship between MS and its components (body mass index, blood pressure, blood glucose and blood lipid) and the risk of breast cancer in females.Results:The age of 25 618 women was (47.65±12.02) years old and median follow-up time was 8.78 years; 235 new cases of breast cancer were detected, and the incidence density was 113.19/100 000 person-years. After adjusting for age, education, income, smoking status, drinking status and other factors, people who were overweight or obese had a higher risk of breast cancer, with HR (95% CI) about 1.47 (1.12-1.93), than those with normal body mass index. Compared with those without MS abnormal components, women with two MS abnormal components had an increased risk of breast cancer ( HR=1.70, 95% CI: 1.16-2.50). With the increase of the number of MS abnormal components, the risk of breast cancer increased gradually ( Ptrend value<0.05). Conclusion:Overweight/obesity and the number of abnormal components of MS can increase the risk of breast cancer in women.
3.Metabolic syndrome components and breast cancer risk in Chinese females: a population based prospective study
Xinyang YU ; Xin LI ; Yan WEN ; Zhuoyu YANG ; Yadi ZHENG ; Xiaoshuang FENG ; Zhangyan LYU ; Ni LI ; Jie HE
Chinese Journal of Preventive Medicine 2021;55(3):359-364
Objective:To investigate the relationship between metabolic syndrome (MS) and the risk of breast cancer in Chinese females.Methods:From May 2006 to December 2015, based on the Kailuan Women′s Dynamic Cohort,a total of 25 618 female employees and retirees of the Kailuan Group were included and followed. Questionnaire surveys, physical measurements and laboratory tests were used to collect baseline sociodemographic characteristics, height, weight, blood glucose, blood lipids, blood pressure, tumor incidence and outcome information. Cox proportional hazards regression models were used to analyze the relationship between MS and its components (body mass index, blood pressure, blood glucose and blood lipid) and the risk of breast cancer in females.Results:The age of 25 618 women was (47.65±12.02) years old and median follow-up time was 8.78 years; 235 new cases of breast cancer were detected, and the incidence density was 113.19/100 000 person-years. After adjusting for age, education, income, smoking status, drinking status and other factors, people who were overweight or obese had a higher risk of breast cancer, with HR (95% CI) about 1.47 (1.12-1.93), than those with normal body mass index. Compared with those without MS abnormal components, women with two MS abnormal components had an increased risk of breast cancer ( HR=1.70, 95% CI: 1.16-2.50). With the increase of the number of MS abnormal components, the risk of breast cancer increased gradually ( Ptrend value<0.05). Conclusion:Overweight/obesity and the number of abnormal components of MS can increase the risk of breast cancer in women.