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7 results on '"Hu, Ruying"'

1. Association Between Insulin Resistance and Cardiovascular Disease Risk Varies According to Glucose Tolerance Status: A Nationwide Prospective Cohort Study

Author

Wang, Tiange, primary, Li, Mian, additional, Zeng, Tianshu, additional, Hu, Ruying, additional, Xu, Yu, additional, Xu, Min, additional, Zhao, Zhiyun, additional, Chen, Yuhong, additional, Wang, Shuangyuan, additional, Lin, Hong, additional, Yu, Xuefeng, additional, Chen, Gang, additional, Su, Qing, additional, Mu, Yiming, additional, Chen, Lulu, additional, Tang, Xulei, additional, Yan, Li, additional, Qin, Guijun, additional, Wan, Qin, additional, Gao, Zhengnan, additional, Wang, Guixia, additional, Shen, Feixia, additional, Luo, Zuojie, additional, Qin, Yingfen, additional, Chen, Li, additional, Huo, Yanan, additional, Li, Qiang, additional, Ye, Zhen, additional, Zhang, Yinfei, additional, Liu, Chao, additional, Wang, Youmin, additional, Wu, Shengli, additional, Yang, Tao, additional, Deng, Huacong, additional, Zhao, Jiajun, additional, Shi, Lixin, additional, Ning, Guang, additional, Bi, Yufang, additional, Wang, Weiqing, additional, and Lu, Jieli, additional

Published
2022
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2. Association of Serum Bile Acids Profile and Pathway Dysregulation With the Risk of Developing Diabetes Among Normoglycemic Chinese Adults: Findings From the 4C Study

Author

Lu, Jieli, primary, Wang, Shuangyuan, additional, Li, Mian, additional, Gao, Zhengnan, additional, Xu, Yu, additional, Zhao, Xinjie, additional, Hu, Chunyan, additional, Zhang, Yi, additional, Liu, Ruixin, additional, Hu, Ruying, additional, Shi, Lixin, additional, Zheng, Ruizhi, additional, Du, Rui, additional, Su, Qing, additional, Wang, Jiqiu, additional, Chen, Yuhong, additional, Yu, Xuefeng, additional, Yan, Li, additional, Wang, Tiange, additional, Zhao, Zhiyun, additional, Wang, Xiaolin, additional, Li, Qi, additional, Qin, Guijun, additional, Wan, Qin, additional, Chen, Gang, additional, Xu, Min, additional, Dai, Meng, additional, Zhang, Di, additional, Tang, Xulei, additional, Wang, Guixia, additional, Shen, Feixia, additional, Luo, Zuojie, additional, Qin, Yingfen, additional, Chen, Li, additional, Huo, Yanan, additional, Li, Qiang, additional, Ye, Zhen, additional, Zhang, Yinfei, additional, Liu, Chao, additional, Wang, Youmin, additional, Wu, Shengli, additional, Yang, Tao, additional, Deng, Huacong, additional, Li, Donghui, additional, Lai, Shenghan, additional, Mu, Yiming, additional, Chen, Lulu, additional, Zhao, Jiajun, additional, Xu, Guowang, additional, Ning, Guang, additional, Bi, Yufang, additional, and Wang, Weiqing, additional

Published
2020
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3. Individual and Combined Associations of Modifiable Lifestyle and Metabolic Health Status With New-Onset Diabetes and Major Cardiovascular Events: The China Cardiometabolic Disease and Cancer Cohort (4C) Study

Author

Li, Mian, primary, Xu, Yu, additional, Wan, Qin, additional, Shen, Feixia, additional, Xu, Min, additional, Zhao, Zhiyun, additional, Lu, Jieli, additional, Gao, Zhengnan, additional, Chen, Gang, additional, Wang, Tiange, additional, Xu, Yiping, additional, Zhao, Jiajun, additional, Chen, Lulu, additional, Shi, Lixin, additional, Hu, Ruying, additional, Ye, Zhen, additional, Tang, Xulei, additional, Su, Qing, additional, Qin, Guijun, additional, Wang, Guixia, additional, Luo, Zuojie, additional, Qin, Yingfen, additional, Huo, Yanan, additional, Li, Qiang, additional, Zhang, Yinfei, additional, Chen, Yuhong, additional, Liu, Chao, additional, Mu, Yiming, additional, Wang, Youmin, additional, Wu, Shengli, additional, Yang, Tao, additional, Chen, Li, additional, Yu, Xuefeng, additional, Yan, Li, additional, Deng, Huacong, additional, Ning, Guang, additional, Bi, Yufang, additional, and Wang, Weiqing, additional

Published
2020
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4. Early Life Famine Exposure, Ideal Cardiovascular Health Metrics, and Risk of Incident Diabetes: Findings From the 4C Study

Author

Lu, Jieli, primary, Li, Mian, additional, Xu, Yu, additional, Bi, Yufang, additional, Qin, Yingfen, additional, Li, Qiang, additional, Wang, Tiange, additional, Hu, Ruying, additional, Shi, Lixin, additional, Su, Qing, additional, Xu, Min, additional, Zhao, Zhiyun, additional, Chen, Yuhong, additional, Yu, Xuefeng, additional, Yan, Li, additional, Du, Rui, additional, Hu, Chunyan, additional, Qin, Guijun, additional, Wan, Qin, additional, Chen, Gang, additional, Dai, Meng, additional, Zhang, Di, additional, Gao, Zhengnan, additional, Wang, Guixia, additional, Shen, Feixia, additional, Luo, Zuojie, additional, Chen, Li, additional, Huo, Yanan, additional, Ye, Zhen, additional, Tang, Xulei, additional, Zhang, Yinfei, additional, Liu, Chao, additional, Wang, Youmin, additional, Wu, Shengli, additional, Yang, Tao, additional, Deng, Huacong, additional, Li, Donghui, additional, Lai, Shenghan, additional, Bloomgarden, Zachary T., additional, Chen, Lulu, additional, Zhao, Jiajun, additional, Mu, Yiming, additional, Ning, Guang, additional, and Wang, Weiqing, additional

Published
2020
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5. Predictive Value of Fasting Glucose, Postload Glucose, and Hemoglobin A1c on Risk of Diabetes and Complications in Chinese Adults

Author

Lu, Jieli, primary, He, Jiang, additional, Li, Mian, additional, Tang, Xulei, additional, Hu, Ruying, additional, Shi, Lixin, additional, Su, Qing, additional, Peng, Kui, additional, Xu, Min, additional, Xu, Yu, additional, Chen, Yuhong, additional, Yu, Xuefeng, additional, Yan, Li, additional, Wang, Tiange, additional, Zhao, Zhiyun, additional, Qin, Guijun, additional, Wan, Qin, additional, Chen, Gang, additional, Dai, Meng, additional, Zhang, Di, additional, Gao, Zhengnan, additional, Wang, Guixia, additional, Shen, Feixia, additional, Luo, Zuojie, additional, Qin, Yingfen, additional, Chen, Li, additional, Huo, Yanan, additional, Li, Qiang, additional, Ye, Zhen, additional, Zhang, Yinfei, additional, Du, Rui, additional, Cheng, Di, additional, Liu, Chao, additional, Wang, Youmin, additional, Wu, Shengli, additional, Yang, Tao, additional, Deng, Huacong, additional, Li, Donghui, additional, Lai, Shenghan, additional, Bloomgarden, Zachary T., additional, Chen, Lulu, additional, Zhao, Jiajun, additional, Mu, Yiming, additional, Ning, Guang, additional, Wang, Weiqing, additional, and Bi, Yufang, additional

Published
2019
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6. Association of Serum Bile Acids Profile and Pathway Dysregulation With the Risk of Developing Diabetes Among Normoglycemic Chinese Adults: Findings From the 4C Study.

Author

Lu, Jieli, Wang, Shuangyuan, Li, Mian, Gao, Zhengnan, Xu, Yu, Zhao, Xinjie, Hu, Chunyan, Zhang, Yi, Liu, Ruixin, Hu, Ruying, Shi, Lixin, Zheng, Ruizhi, Du, Rui, Su, Qing, Wang, Jiqiu, Chen, Yuhong, Yu, Xuefeng, Yan, Li, Wang, Tiange, and Zhao, Zhiyun

Subjects
TYPE 2 diabetes, BILE acids, BILIARY atresia, CHOLIC acid, DEOXYCHOLIC acid, FALSE discovery rate, DIABETES
Abstract

Objective: Comprehensive assessment of serum bile acids (BAs) aberrations before diabetes onset remains inconclusive. We examined the association of serum BA profile and coregulation with the risk of developing type 2 diabetes mellitus (T2DM) among normoglycemic Chinese adults.Research Design and Methods: We tested 23 serum BA species in subjects with incident diabetes (n = 1,707) and control subjects (n = 1,707) matched by propensity score (including age, sex, BMI, and fasting glucose) from the China Cardiometabolic Disease and Cancer Cohort (4C) Study, which was composed of 54,807 normoglycemic Chinese adults with a median follow-up of 3.03 years. Multivariable-adjusted odds ratios (ORs) for associations of BAs with T2DM were estimated using conditional logistic regression.Results: In multivariable-adjusted logistic regression analysis, per SD increment of unconjugated primary and secondary BAs were inversely associated with incident diabetes, with an OR (95% CI) of 0.89 (0.83-0.96) for cholic acid, 0.90 (0.84-0.97) for chenodeoxycholic acid, and 0.90 (0.83-0.96) for deoxycholic acid (P < 0.05 and false discovery rate <0.05). On the other hand, conjugated primary BAs (glycocholic acid, taurocholic acid, glycochenodeoxycholic acid, taurochenodeoxycholic acid, and sulfated glycochenodeoxycholic acid) and secondary BA (tauroursodeoxycholic acid) were positively related with incident diabetes, with ORs ranging from 1.11 to 1.19 (95% CIs ranging between 1.05 and 1.28). In a fully adjusted model additionally adjusted for liver enzymes, HDL cholesterol, diet, 2-h postload glucose, HOMA-insulin resistance, and waist circumference, the risk estimates were similar. Differential correlation network analysis revealed that perturbations in intraclass (i.e., primary and secondary) and interclass (i.e., unconjugated and conjugated) BA coregulation preexisted before diabetes onset.Conclusions: These findings reveal novel changes in BAs exist before incident T2DM and support a potential role of BA metabolism in the pathogenesis of diabetes. [ABSTRACT FROM AUTHOR]

Published
2021
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7. Predictive Value of Fasting Glucose, Postload Glucose, and Hemoglobin A 1c on Risk of Diabetes and Complications in Chinese Adults.

Author

Lu J, He J, Li M, Tang X, Hu R, Shi L, Su Q, Peng K, Xu M, Xu Y, Chen Y, Yu X, Yan L, Wang T, Zhao Z, Qin G, Wan Q, Chen G, Dai M, Zhang D, Gao Z, Wang G, Shen F, Luo Z, Qin Y, Chen L, Huo Y, Li Q, Ye Z, Zhang Y, Du R, Cheng D, Liu C, Wang Y, Wu S, Yang T, Deng H, Li D, Lai S, Bloomgarden ZT, Chen L, Zhao J, Mu Y, Ning G, Wang W, and Bi Y

Subjects
Adult, Aged, Aged, 80 and over, Asian People statistics & numerical data, Blood Glucose drug effects, China epidemiology, Cohort Studies, Diabetes Complications blood, Diabetes Complications epidemiology, Diabetes Mellitus blood, Diabetes Mellitus epidemiology, Fasting blood, Female, Follow-Up Studies, Glucose pharmacology, Glucose Tolerance Test methods, Glycated Hemoglobin metabolism, Humans, Incidence, Male, Middle Aged, Mortality, Prediabetic State blood, Prediabetic State diagnosis, Prediabetic State epidemiology, Predictive Value of Tests, Prospective Studies, Blood Glucose analysis, Diabetes Complications diagnosis, Diabetes Mellitus diagnosis, Glycated Hemoglobin analysis
Abstract

Objective: Uncertainty remains regarding the predictive value of various glycemic measures as they relate to the risk of diabetes and its complications. Using the cutoffs recommended by the American Diabetes Association's 2010 criteria, we determined the associations of fasting plasma glucose (FPG), 2-h postload glucose (2h-PG), and HbA 1c with the outcomes., Research Design and Methods: Baseline medical history, FPG, 2h-PG, and HbA 1c were obtained from a population-based cohort of 193,846 adults aged ≥40 years in China during 2011-2012. A follow-up visit was conducted during 2014-2016 in order to assess incident diabetes, cardiovascular disease (CVD), cancer, and mortality., Results: We documented 8,063 cases of diabetes, 3,014 CVD-related events, 1,624 cases of cancer, and 2,409 deaths during up to 5 years of follow-up. Multivariable-adjusted risk ratios (95% CIs) of diabetes associated with prediabetes based on FPG of 100-125 mg/dL, 2h-PG of 140-199 mg/dL, or HbA 1c of 5.7-6.4% (39-47 mmol/mol) were 1.60 (1.43-1.79), 2.72 (2.43-3.04), and 1.49 (1.36-1.62), respectively. Restricted cubic spline analyses suggested J-shaped associations of FPG, 2h-PG, and HbA 1c levels with CVD, cancer, and mortality. Multivariable-adjusted hazard ratios (95% CIs) associated with untreated diabetes based on FPG ≥126 mg/dL, 2h-PG ≥200 mg/dL, or HbA 1c ≥6.5% (48 mmol/mol) were 1.18 (1.05-1.33), 1.31 (1.18-1.45), and 1.20 (1.07-1.34) for CVD; 1.10 (0.92-1.32), 1.44 (1.25-1.67), and 1.08 (0.92-1.28) for cancer; and 1.37 (1.20-1.57), 1.57 (1.41-1.76), and 1.33 (1.17-1.52) for mortality, respectively. 2h-PG remained significantly associated with outcomes in models including FPG and HbA 1c as spline terms. Furthermore, 2h-PG significantly improved the ability of the C statistic to predict diabetes, CVD, and mortality., Conclusions: 2h-PG remains independently predictive of outcomes in models including FPG and HbA 1c . Therefore, in addition to FPG and HbA 1c , routine testing of 2h-PG should be considered in order to better assess the risks of outcomes., (© 2019 by the American Diabetes Association.)

Published
2019
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