Rui Du
Shanghai Jiao Tong University
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Publication
Featured researches published by Rui Du.
Journal of the American Heart Association | 2016
Jieli Lu; Yiming Mu; Qing Su; Lixin Shi; Chao Liu; Jiajun Zhao; Lulu Chen; Qiang Li; Tao Yang; Li Yan; Qin Wan; Shengli Wu; Yan Liu; Guixia Wang; Zuojie Luo; Xulei Tang; Gang Chen; Yanan Huo; Zhengnan Gao; Zhen Ye; Youmin Wang; Guijun Qin; Huacong Deng; Xuefeng Yu; Feixia Shen; Li Chen; Liebin Zhao; Jichao Sun; Wanwan Sun; Tiange Wang
Background Chronic kidney disease (CKD) increases cardiovascular disease (CVD) risk. However, the association of mildly reduced kidney function with CVD risk is unclear. Methods and Results This study investigated the association of estimated glomerular filtration rate (eGFR) with prevalent CVDs, 10‐year Framingham risk for coronary heart disease (CHD), and 10‐year risk of atherosclerotic cardiovascular diseases (ASCVD) in 239 832 participants from the baseline of the Risk Evaluation of cAncers in Chinese diabeTic Individuals: a lONgitudinal study. With an interviewer‐assisted questionnaire, we collected information on CVD, including reported CHD, stroke, or myocardial infarction. Chronic Kidney Disease–Epidemiology Collaboration (CKD‐EPI) equation was used to calculate eGFR. Compared with individuals with normal eGFR (≥90 mL/min per 1.73 m2), those with decreased eGFR (75–89, 60–74, and <60 mL/min per 1.73 m2) had higher risk of prevalent obesity, diabetes mellitus, hypertension, and dyslipidemia in both men and women (P for trend all <0.001). Moreover, a significantly higher 10‐year Framingham risk for CHD and 10‐year risk for ASCVD was observed in both men and women with mildly decreased eGFR (60–89 mL/min per 1.73 m2). Conclusions Even mildly reduced eGFR (under 90 mL/min per 1.73 m2) is associated with elevated 10‐year Framingham risk for CHD and 10‐year ASCVD risk among Chinese adults.
Obesity | 2017
Lin Lin; Kui Peng; Rui Du; Xiaolin Huang; Jieli Lu; Yu Xu; Min Xu; Yuhong Chen; Yufang Bi; Weiqing Wang
To investigate the association between the metabolically healthy obesity (MHO) phenotype and incident chronic kidney disease (CKD) in a Chinese population and whether systemic inflammation affects this association.
Diabetes-metabolism Research and Reviews | 2018
Rui Du; Lin Lin; Di Cheng; Yu Xu; Min Xu; Yuhong Chen; Weiqing Wang; Yufang Bi; Donghui Li; Jieli Lu
Rising experimental evidence suggests that thiazolidinediones (TZDs) exert a protective effect on breast cancer. However, studies concerning this issue were inconsistent and limited. Hence, we performed a meta‐analysis with data from currently available studies to evaluate the effect of TZDs on breast cancer risk among diabetic women. We comprehensively searched for all pertinent studies addressing TZDs use and breast cancer risk published before January 1, 2016, in PubMed, Clinical Trials, and Cochrane Library. Data synthesis was performed in a random‐effects model using Stata version 12.0 (Stata Corp, College Station, Texas). Fourteen independent studies were eventually selected in this meta‐analysis, including 5 randomized controlled clinical trials (RCTs), 7 cohort studies, and 2 case‐control studies. No significant associations of TZD use and risk of breast cancer were observed in the RCTs (pooled risk ratio [RR]: 0.77, 95% confidence interval (CI), 0.39‐1.53, I2 = 26%) or case‐control studies (pooled odds ratio, 0.99, 95% CI, 0.76‐1.28, I2 = 31%). A 19% reduction in breast cancer risk (pooled RR: 0.81, 95% CI, 0.66‐0.99, I2 = 72%) was found in the cohort studies. However, after removing the study with the smallest event number and the greatest effect size, the association became nonsignificant with greatly decreased heterogeneity (pooled RR: 0.94, 95% CI, 0.86‐1.03, I2 = 16%). This meta‐analysis did not find any significant association between TZDs use and risk of breast cancer among diabetic women.
Journal of Diabetes | 2016
Jieli Lu; Jie Zhang; Rui Du; Tiange Wang; Min Xu; Yu Xu; Weiqing Wang; Yufang Bi; Donghui Li; Yuhong Chen; Guang Ning
The aim of the present study was to investigate whether age at menarche is associated with non‐alcoholic fatty liver disease (NAFLD) later in life.
Journal of Diabetes | 2017
Jieli Lu; Jie Zhang; Rui Du; Tiange Wang; Min Xu; Yu Xu; Weiqing Wang; Yufang Bi; Donghui Li; Yuhong Chen; Guang Ning
The aim of the present study was to investigate whether age at menarche is associated with non‐alcoholic fatty liver disease (NAFLD) later in life.
Journal of Diabetes | 2017
Rui Du; Di Cheng; Lin Lin; Jichao Sun; Kui Peng; Yu Xu; Min Xu; Yuhong Chen; Yufang Bi; Weiqing Wang; Jieli Lu; Guang Ning
Increasing evidence suggests that serum CA 19‐9 is associated with abnormal glucose metabolism. However, data on the association between CA 19‐9 and metabolic syndrome is limited. The aim of the present study was to investigate the association between serum CA 19‐9 and metabolic syndrome.
Journal of Diabetes | 2018
Kui Peng; Gang Chen; Chao Liu; Yiming Mu; Zhen Ye; Lixin Shi; Jiajun Zhao; Lulu Chen; Qiang Li; Tao Yang; Li Yan; Qin Wan; Shengli Wu; Guixia Wang; Zuojie Luo; Xulei Tang; Yanan Huo; Zhengnan Gao; Qing Su; Youmin Wang; Guijun Qin; Huacong Deng; Xuefeng Yu; Feixia Shen; Li Chen; Liebin Zhao; Yu Xu; Min Xu; Yuhong Chen; Jieli Lu
A number of primary studies suggested that active smoking could be independently associated with incident diabetes. However less is known about the effect of active smoking and smoking cessation on glycemic control in patients with diabetes. The aim of this study was to evaluate the associations of active smoking and smoking cessation with glycemic control in diabetic patients.Background A number of primary studies suggested that active smoking could be independently associated with incident diabetes. However less is known about the impact of active smoking and smoking cessation on glycemic control in patients with diabetes. We aimed to evaluate the associations of active smoking and smoking cessation with glycemic control in diabetic patients. Methods This is a cross-sectional study of 10,551 man and 15,297 women with diabetes from the Risk Evaluation of cAncers in Chinese diabeTic Individuals: a lONgitudinal (REACTION) study. Risk factors for glycemic control and the association of active smoking with glycemic control were evaluated using logistic regression models. Hemoglobin A1c (HbA1c) ≥7.0% was defined as poor glycemic control. Results Current smokers have increased risk for poor glycemic control, and the multivariable-adjusted odds ratio (OR) and 95% confidence interval (CI) of HbA1c≥7.0% with current smoking were 1.49 (1.35-1.66) in men and 1.56 (1.13-2.15) in women. Further analysis demonstrated a dose–response relationship between active smoking and the risk of poor glycemic control in men. Former smokers who quit smoking for <10 years remained at increased risk for poor glycemic control, and the risk leveled off after 10 years of smoking cessation compared with non-smokers, while the risk was significantly decreased compared with current smokers. Conclusions Active smoking is a modifiable risk factor for poor glycemic control in Chinese diabetic patients.
Journal of Diabetes | 2018
Kui Peng; Gang Chen; Chao Liu; Yiming Mu; Zhen Ye; Lixin Shi; Jiajun Zhao; Lulu Chen; Qiang Li; Tao Yang; Li Yan; Qin Wan; Shengli Wu; Guixia Wang; Zuojie Luo; Xulei Tang; Yanan Huo; Zhengnan Gao; Qing Su; Youmin Wang; Guijun Qin; Huacong Deng; Xuefeng Yu; Feixia Shen; Li Chen; Liebin Zhao; Yu Xu; Min Xu; Yuhong Chen; Jieli Lu
A number of primary studies suggested that active smoking could be independently associated with incident diabetes. However less is known about the effect of active smoking and smoking cessation on glycemic control in patients with diabetes. The aim of this study was to evaluate the associations of active smoking and smoking cessation with glycemic control in diabetic patients.Background A number of primary studies suggested that active smoking could be independently associated with incident diabetes. However less is known about the impact of active smoking and smoking cessation on glycemic control in patients with diabetes. We aimed to evaluate the associations of active smoking and smoking cessation with glycemic control in diabetic patients. Methods This is a cross-sectional study of 10,551 man and 15,297 women with diabetes from the Risk Evaluation of cAncers in Chinese diabeTic Individuals: a lONgitudinal (REACTION) study. Risk factors for glycemic control and the association of active smoking with glycemic control were evaluated using logistic regression models. Hemoglobin A1c (HbA1c) ≥7.0% was defined as poor glycemic control. Results Current smokers have increased risk for poor glycemic control, and the multivariable-adjusted odds ratio (OR) and 95% confidence interval (CI) of HbA1c≥7.0% with current smoking were 1.49 (1.35-1.66) in men and 1.56 (1.13-2.15) in women. Further analysis demonstrated a dose–response relationship between active smoking and the risk of poor glycemic control in men. Former smokers who quit smoking for <10 years remained at increased risk for poor glycemic control, and the risk leveled off after 10 years of smoking cessation compared with non-smokers, while the risk was significantly decreased compared with current smokers. Conclusions Active smoking is a modifiable risk factor for poor glycemic control in Chinese diabetic patients.
Journal of Diabetes | 2017
Lin Lin; Jieli Lu; Lulu Chen; Yiming Mu; Zhen Ye; Chao Liu; Gang Chen; Lixin Shi; Jiajun Zhao; Qiang Li; Tao Yang; Li Yan; Qin Wan; Shengli Wu; Yan Liu; Guixia Wang; Zuojie Luo; Xulei Tang; Yanan Huo; Zhengnan Gao; Qing Su; Youmin Wang; Guijun Qin; Huacong Deng; Xuefeng Yu; Feixia Shen; Li Chen; Liebin Zhao; Yu Xu; Min Xu
Diagnosed diabetes has been associated with chronic kidney disease (CKD). However, the association between non‐diabetic hyperglycemia and CKD remained uncertain. The aim of the present study was to investigate the association between different glycemic status and CKD in Chinese adults and to assess the prevalence and control of diabetes among individuals with CKD.
Journal of Diabetes | 2017
Kui Peng; Gang Chen; Chao Liu; Yiming Mu; Zhen Ye; Lixin Shi; Jiajun Zhao; Lulu Chen; Qiang Li; Tao Yang; Li Yan; Qin Wan; Shengli Wu; Guixia Wang; Zuojie Luo; Xulei Tang; Yanan Huo; Zhengnan Gao; Qing Su; Youmin Wang; Guijun Qin; Huacong Deng; Xuefeng Yu; Feixia Shen; Li Chen; Liebin Zhao; Yu Xu; Min Xu; Yuhong Chen; Jieli Lu
A number of primary studies suggested that active smoking could be independently associated with incident diabetes. However less is known about the effect of active smoking and smoking cessation on glycemic control in patients with diabetes. The aim of this study was to evaluate the associations of active smoking and smoking cessation with glycemic control in diabetic patients.Background A number of primary studies suggested that active smoking could be independently associated with incident diabetes. However less is known about the impact of active smoking and smoking cessation on glycemic control in patients with diabetes. We aimed to evaluate the associations of active smoking and smoking cessation with glycemic control in diabetic patients. Methods This is a cross-sectional study of 10,551 man and 15,297 women with diabetes from the Risk Evaluation of cAncers in Chinese diabeTic Individuals: a lONgitudinal (REACTION) study. Risk factors for glycemic control and the association of active smoking with glycemic control were evaluated using logistic regression models. Hemoglobin A1c (HbA1c) ≥7.0% was defined as poor glycemic control. Results Current smokers have increased risk for poor glycemic control, and the multivariable-adjusted odds ratio (OR) and 95% confidence interval (CI) of HbA1c≥7.0% with current smoking were 1.49 (1.35-1.66) in men and 1.56 (1.13-2.15) in women. Further analysis demonstrated a dose–response relationship between active smoking and the risk of poor glycemic control in men. Former smokers who quit smoking for <10 years remained at increased risk for poor glycemic control, and the risk leveled off after 10 years of smoking cessation compared with non-smokers, while the risk was significantly decreased compared with current smokers. Conclusions Active smoking is a modifiable risk factor for poor glycemic control in Chinese diabetic patients.