1.Ratio analysis of ERβ isoforms in paired cancerous and adjacent normal breast tissues
Lei GAO ; Guijian LIU ; Ruili ZHU ; Shipeng SUN ; Changdong LU ; Lixin ZHANG ; Kaiwen HU
Cancer Research and Clinic 2014;26(4):217-219
Objective To illustrate the composition ratio of ERβ isoforms in paired cancerous and adjacent normal tissues from breast cancer patients.Methods Eighty-seven pairs of cancerous and adjacent normal tissues were obtained from breast cancer patients.RT-qPCR was used to determine the relative mRNA expression levels of ERβ isoforms (ER[β1,ERβ2 and ERβ5),and the composition ratios of ERβ isoforms were analyzed.Results The expression levels of all tested ERβ isoforms (ERβ1,ERβ2 and ERβ5) in breast cancer tissues were much lower than those in adjacent normal breast tissues (P < 0.01).Isoform ratio analysis showed that ERβ5 was the dominant isoform in both cancerous and adjacent normal tissues with a positive detection rate of 54.02 % and 75.84 %,respectively.Meanwhile,ERβ1 had the lowest detection rate (9.74 % and 6.77 % in cancerous and adjacent normal tissues,respectively).The positive rates for both ERβ1 and ERβ2 were much lower in adjacent normal tissues than those in cancer tissues (Z =-2.24,P =0.025 and Z =-4.85,P < 0.01,separately),while more cancerous tissues were ERβ5-positive in comparison to adjacent normal tissues (Z =-5.32,P < 0.01).Conclusions The expression levels of all the ERβ isoforms are differentially down-regulated with significant alterations in their composition ratios during breast carcinogenesis.Further understanding on molecular mechanisms underlying the differential down-regulation of ER[β isoforms will shed new light on breast carcinogenesis.
2.Incidence and influencing factors of non-alcoholic fatty liver disease among rural Uyghur ethnic group residents in Xinjiang Production and Construction Corps
Caiyin LI ; Shuxia GUO ; Yu LI ; Heng GUO ; Rulin MA ; Xianghui ZHANG ; Xinping WANG ; Yunhua HU ; Keerman MULATIBIEKE ; Shipeng GAO ; Jia HE
Chinese Journal of Epidemiology 2024;45(8):1149-1157
Objective:To investigate the incidence characteristics and influencing factors of non-alcoholic fatty liver disease (NAFLD) in rural Uyghur ethnic group residents in Xinjiang Production and Construction Corps and to provide scientific evidence for early identification and prevention of NAFLD for residents.Methods:A total of 10 158 participants were included from the Xinjiang Uygur ethnic group population cohort. A prospective cohort study and Cox proportional hazards regression model analysis were used to explore the influencing factors and clustering of NAFLD, and the dose-response relationship between related biochemical indicators and the risk of NAFLD was studied using a restricted cubic spline.Results:The cumulative incidence rate of NAFLD was 6.9%, and the incidence density of NAFLD was 12.06/1 000 person-years. The incidence density of NAFLD in females was higher than in males (14.72/1 000 person-years vs. 9.17/1 000 person-years, P<0.001). The incidence density of NAFLD gradually increased with age in the total population, both men and women (all P<0.001). In the general population, an education level of junior high school or above was a protective factor for NAFLD, while older age, divorce, widowhood, overweight, obesity, hypertension, increased glomerular filtration rate, decreased HDL-C, increased LDL-C, and increased ALT were risk factors for NAFLD. Estimated glomerular filtration rate (eGFR), HDL-C, LDL-C, and ALT were non-linearly correlated with the incidence of NAFLD, and there was a significant dose-response relationship between them. Only 19.1% of residents had no NAFLD risk factors; over 80.9% had ≥1 NAFLD risk factors. The risk of NAFLD increased with the number of risk factors. Conclusions:The incidence of NAFLD in rural Uygur ethnic group residents in Xinjiang Production and Construction Corps was relatively low, but most residents had one or more risk factors for NAFLD. Prevention and control of NAFLD in this population cannot be ignored. In addition, people of older age, divorced or widowed, low education level, overweight or obese, hypertension, and abnormal eGFR, HDL-C, LDL-C, and ALT were the high-risk groups of NAFLD that need to be paid attention to in this population.
3.COVID-19 epidemic and its characteristics in Heilongjiang province
Jianfeng ZHANG ; Hongyang ZHANG ; Shipeng ZHANG ; Tian TIAN ; Xuebo DU ; Yuliang ZHU ; Diankun WU ; Yan GAO ; Jing MA ; Yong ZHAN ; Ying LI ; Qiuju ZHANG ; Wenjing TIAN ; Xiaojie YU ; Yashuang ZHAO ; Guangyu JIAO ; Dianjun SUN
Chinese Journal of Epidemiology 2020;41(12):2005-2009
Objective:To describe the COVID-19 epidemic and its characteristics in Heilongjiang province, and provide evidence for the further prevention and control of COVID-19 in the province.Methods:The information of COVID-19 cases and clusters were collected from national notifiable disease report system and management information system for reporting public health emergencies of China CDC. The Software’s of Excel 2010 and SPSS 23.0 were applied for data cleaning and statistical analysis on the population, time and area distributions of COVID-19 cases.Results:On January 22, 2020, the first confirmed case of COVID-19 was reported in Heilongjiang. By March 11, 2020, a total of 482 cases domestic case of COVID-19, The incidence rate was 1.28/100 000, the mortality rate was 2.70% (13/482) in 13 municipalities in Heilongjiang. There were 81 clusters of COVID-19, The number of confirmed cases accounted for 79.25% (382/482) of the total confirmed cases and 12 cases of deaths. The family clusters accounted for 86.42% (70/81). Compared with the sporadic cases, the mortality rate, proportion of elderly cases aged 60 or above and severe or critical cases of clinical classification were all higher in the clusters especially the family clusters, but the differences were not significant ( P>0.05). There were 34 clusters involving more than 5 confirmed cases accounted for 41.98% (34/81) of the total clusters, the involved cases accounted for 68.31% (261/382) of the total cases of clusters. There were significant differences in age distribution of the cases among the case clusters with different case numbers. In the clusters involving 6-9 cases, the proportion of cases aged 65 years or above was more (26.53%, 39/147). Conclusions:The incidence rate of COVID-19 was relatively high and the early epidemic was serious in Heilongjiang, The number of cases was large in clusters especially family clusters.
4.Clinical Characteristics and Treatment of Blau Syndrome in Chinese Children-a National Multicenter Study
Junmei ZHANG ; Xiaozhen ZHAO ; Xuemei TANG ; Yi'nan ZHAO ; Li LI ; Fengqiao GAO ; Xinwei SHI ; Yanliang JIN ; Yu ZHANG ; Lanfang CAO ; Wei YIN ; Jihong XIAO ; Weiying KUANG ; Jianghong DENG ; Jiang WANG ; Xiaohua TAN ; Chao LI ; Shipeng LI ; Haiyan XUE ; Cuihua LIU ; Xiaohui LIU ; Dongmei ZHAO ; Yuqing CHEN ; Wenjie ZHENG ; Caifeng LI
JOURNAL OF RARE DISEASES 2022;1(3):252-258