Search

Your search keyword '"MU, YIMING"' showing total 940 results
Start Over Author "MU, YIMING"
940 results on '"MU, YIMING"'

1. Associations of sleeping patterns and isotemporal substitution of other behavior with the prevalence of CKD in Chinese adults

Author

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

Published
2024
Full Text
View/download PDF

2. Early adulthood weight change, midlife “Life’s essential 8” health status and risk of cardiometabolic diseases: a chinese nationwide cohort study

Author

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

Published
2023
Full Text
View/download PDF

4. Association of circulating long-chain free fatty acids and incident diabetes risk among normoglycemic Chinese adults: a prospective nested case–control study

Author

Wang, Shuangyuan, Hu, Chunyan, Lin, Hong, Jia, Xiaojing, Hu, Ruying, Zheng, Ruizhi, Li, Mian, Xu, Yu, Xu, Min, Zheng, Jie, Zhao, Xinjie, Li, Yanli, Chen, Lulu, Zeng, Tianshu, Ye, Zhen, Shi, Lixin, Su, Qing, Chen, Yuhong, Yu, Xuefeng, Yan, Li, Wang, Tiange, Zhao, Zhiyun, Qin, Guijun, Wan, Qin, Chen, Gang, Dai, Meng, Zhang, Di, Qiu, Bihan, Zhu, Xiaoyan, Liu, Ruixin, Wang, Xiao, Tang, Xulei, Gao, Zhengnan, Shen, Feixia, Gu, Xuejiang, Luo, Zuojie, Qin, Yingfen, Chen, Li, Hou, Xinguo, Huo, Yanan, Li, Qiang, Wang, Guixia, Zhang, Yinfei, Liu, Chao, Wang, Youmin, Wu, Shengli, Yang, Tao, Deng, Huacong, Zhao, Jiajun, Mu, Yiming, Xu, Guowang, Lai, Shenghan, Li, Donghui, Ning, Guang, Wang, Weiqing, Bi, Yufang, and Lu, Jieli

Published
2024
Full Text
View/download PDF

7. Irregular Menstruation-Hirsutism-Infertility: Clinical Management of Non-Classic Congenital Adrenal Hyperplasia

Author

NIE Zhimei, DOU Jianxin, DU Jin, GU Weijun, LYU Zhaohui, DOU Jingtao, and MU Yiming

Subjects
nonclassical 21-hydroxylase deficiency, 17-hydroxyprogesterone, cosyntropin-stimulation test, Medicine
Abstract

A 38-year-old female presented with irregular menstruation and hirsutism that started at age of 16 and diagnosed with polycystic ovary syndrome at age of 29 with elevated testosterone. When treated with ethinestradiol cyproterone tablets, her menstruation returned to normal and androgen levels was not changed. At age of 38 she was referred to the hospital with infertility, a diagnosis of nonclassical 21-hydroxylase deficiency was confirmed using 17-hydroxyprogesterone, dehydroepiandrosterone-sulfate, a cosyntropin-stimulation test and genetic test. This case suggested that nonclassical congenital adrenal hyperplasia should be considered when a patient is presented with oligomenorrhea, hirsutism with hyperandrogenemia and infertility.

Published
2023
Full Text
View/download PDF

11. Association between triglyceride glucose index and breast cancer in 142,184 Chinese adults: findings from the REACTION study

Author

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

Published
2024
Full Text
View/download PDF

13. Data-driven subgroups of prediabetes and the associations with outcomes in Chinese adults

Author

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

Published
2023
Full Text
View/download PDF

14. Risk of cardiovascular disease, death, and renal progression in diabetes according to albuminuria and estimated glomerular filtration rate

Author

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

Published
2023
Full Text
View/download PDF

15. Clinical expert consensus on the assessment and protection of pancreatic islet β-cell function in type 2 diabetes mellitus

Author

Zhu, Jian, Han, Junfeng, Liu, Liehua, Liu, Yu, Xu, Wen, Li, Xiaomu, Yang, Lin, Gu, Yong, Tang, Wei, Shi, Yongquan, Ye, Shandong, Hua, Fei, Xiang, Guangda, Liu, Ming, Sun, Zilin, Su, Qing, Li, Xiaoying, Li, Yuxiu, Li, Yanbing, Li, Hong, Li, Yiming, Yang, Tao, Yang, Jing, Shi, Lixin, Yu, Xuefeng, Chen, Li, Shao, Jiaqing, Liang, Jun, Han, Xiao, Xue, Yaomin, Ma, Jianhua, Zhu, Dalong, and Mu, Yiming

Published
2023
Full Text
View/download PDF

23. Efficacy and safety of umbilical cord-derived mesenchymal stem cells in Chinese adults with type 2 diabetes: a single-center, double-blinded, randomized, placebo-controlled phase II trial

Author

Zang, Li, Li, Yijun, Hao, Haojie, Liu, Jiejie, Cheng, Yu, Li, Bing, Yin, Yaqi, Zhang, Qian, Gao, Fei, Wang, Haibin, Gu, Shi, Li, Jia, Lin, Fengxiang, Zhu, Yingfei, Tian, Guanglei, Chen, Yulong, Gu, Weijun, Du, Jin, Chen, Kang, Guo, Qinghua, Yang, Guoqing, Pei, Yu, Yan, Wenhua, Wang, Xianling, Meng, Junhua, Zhang, Saichun, Ba, Jianming, Lyu, Zhaohui, Dou, Jingtao, Han, Weidong, and Mu, Yiming

Published
2022
Full Text
View/download PDF

26. Interaction between smoking and diabetes in relation to subsequent risk of cardiovascular events

Author

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

Published
2022
Full Text
View/download PDF

28. Association of soy food with cardiovascular outcomes and all-cause mortality in a Chinese population: a nationwide prospective cohort study

Author

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

Published
2022
Full Text
View/download PDF

29. Amino acids, microbiota-related metabolites, and the risk of incident diabetes among normoglycemic Chinese adults: Findings from the 4C study

Author

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

Published
2022
Full Text
View/download PDF

30. Hypertension Defined by 2017 ACC/AHA Guideline, Ideal Cardiovascular Health Metrics, and Risk of Cardiovascular Disease: A Nationwide Prospective Cohort Study

Author

Wu, Shujing, Xu, Yu, Zheng, Ruizhi, Lu, Jieli, Li, Mian, Chen, Li, Huo, Yanan, Xu, Min, Wang, Tiange, Zhao, Zhiyun, Wang, Shuangyuan, Lin, Hong, Dai, Meng, Zhang, Di, Niu, Jingya, Qin, Guijun, Yan, Li, Wan, Qin, Chen, Lulu, Shi, Lixin, Hu, Ruying, Tang, Xulei, Su, Qing, Yu, Xuefeng, Qin, Yingfen, Chen, Gang, Gao, Zhengnan, Wang, Guixia, Shen, Feixia, Luo, Zuojie, Chen, Yuhong, Zhang, Yinfei, Liu, Chao, Wang, Youmin, Wu, Shengli, Yang, Tao, Li, Qiang, Mu, Yiming, Zhao, Jiajun, Bi, Yufang, Wang, Weiqing, and Ning, Guang

Published
2022
Full Text
View/download PDF

31. Examining the Linear Association Between Blood Pressure Levels and Cardiovascular Diseases in the Absence of Major Risk Factors in China

Author

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

Published
2022
Full Text
View/download PDF

32. Perceptions, attitudes and barriers to effective obesity care among people living with obesity and healthcare professionals in China: The ACTION‐China study.

Author

Ji, Linong, Mu, Yiming, Chang, Cuiqing, Wang, Huali, Zhao, Di, Liu, Dongmei, Shen, Zewei, and Chen, Wei

Abstract

Aims Materials and Methods Results Conclusions To identify perceptions, attitudes, behaviours and barriers to effective obesity care among people living with obesity (PLwO) and healthcare professionals (HCPs) across mainland China.ACTION‐China (ClinicalTrials.gov: NCT05428501) was a cross‐sectional, observational, descriptive, online survey‐based study of 7000 PLwO and 1000 HCPs (conducted between August and November 2022).The majority of PLwO (76.8% [5374/7000]) and HCPs (94.6% [946/1000]) agreed that obesity is a chronic disease. Only 40.8% of PLwO (2853/7000) had discussed their weight or talked about losing weight with an HCP in the past 5 years. The most frequent reason given by PLwO for not discussing weight management with an HCP was believing it was their responsibility to manage their weight (34.7% [2430/7000]), whereas the most frequent reason HCPs gave for not discussing obesity with their patients with obesity was having more important health issues to discuss (72.1% [721/1000]). A smaller proportion of PLwO (19.1%) than HCPs (53.6%) felt that weight management discussions with an HCP would be very or extremely helpful for the patient, and 30.7% of PLwO experienced negative feelings after their most recent discussion. Overall, 34.8% (2438/7000) of PLwO had been diagnosed with obesity by an HCP, while 30.0% (2101/7000) of PLwO did not recognize that they had obesity.This large, national survey conducted among PLwO and HCPs highlights key barriers to effective obesity care in China, including underestimation of weight status by PLwO and the need for increased communication between HCPs and PLwO regarding weight management. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

34. Development and validation of a machine learning‐based model to predict isolated post‐challenge hyperglycemia in middle‐aged and elder adults: Analysis from a multicentric study.

Author

Hou, Rui, Dou, Jingtao, Wu, Lijuan, Zhang, Xiaoyu, Li, Changwei, Wang, Weiqing, Gao, Zhengnan, Tang, Xulei, Yan, Li, Wan, Qin, Luo, Zuojie, Qin, Guijun, Chen, Lulu, Ji, Jianguang, He, Yan, Wang, Wei, Mu, Yiming, and Zheng, Deqiang

Subjects
ARTIFICIAL neural networks, MIDDLE-aged persons, MACHINE learning, HYPERGLYCEMIA, GLUCOSE tolerance tests
Abstract

Introduction: Due to the high cost and complexity, the oral glucose tolerance test is not adopted as the screening method for identifying diabetes patients, which leads to the misdiagnosis of patients with isolated post‐challenge hyperglycemia (IPH), that is., patients with normal fasting plasma glucose (<7.0 mmoL/L) and abnormal 2‐h postprandial blood glucose (≥11.1 mmoL/L). We aimed to develop a model to differentiate individuals with IPH from the normal population. Methods: Data from 54301 eligible participants were obtained from the Risk Evaluation of Cancers in Chinese Diabetic Individuals: a longitudinal (REACTION) study in China. Data from 37740 participants were used to develop the diagnostic system. External validation was performed among 16561 participants. Three machine learning algorithms were used to create the predictive models, which were further evaluated by various classification algorithms to establish the best predictive model. Results: Ten features were selected to develop an IPH diagnosis system (IPHDS) based on an artificial neural network. In external validation, the AUC of the IPHDS was 0.823 (95% CI 0.811–0.836), which was significantly higher than the AUC of the Taiwan model [0.799 (0.786–0.813)] and that of the Chinese Diabetes Risk Score model [0.648 (0.635–0.662)]. The IPHDS model had a sensitivity of 75.6% and a specificity of 74.6%. This model outperformed the Taiwan and CDRS models in subgroup analyses. An online site with instant predictions was deployed at https://app‐iphds‐e1fc405c8a69.herokuapp.com/. Conclusions: The proposed IPHDS could be a convenient and user‐friendly screening tool for diabetes during health examinations in a large general population. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

35. Age-specific modifiable risk factor profiles for cardiovascular disease and all-cause mortality: a nationwide, population-based, prospective cohort study

Author

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

Published
2021
Full Text
View/download PDF

36. The Association between Educational Attainment and the Risk of Nonalcoholic Fatty Liver Disease among Chinese Adults: Findings from the REACTION Study

Author

Zhu, Yuanyue, primary, Wang, Long, additional, Lin, Lin, additional, Huo, Yanan, additional, Wan, Qin, additional, Qin, Yingfen, additional, Hu, Ruying, additional, Shi, Lixin, additional, Su, Qing, additional, Yu, Xuefeng, additional, Yan, Li, additional, Qin, Guijun, additional, Tang, Xulei, additional, Chen, Gang, additional, Wang, Shuangyuan, additional, Lin, Hong, additional, Wu, Xueyan, additional, Hu, Chunyan, additional, Li, Mian, additional, Xu, Min, additional, Xu, Yu, additional, Wang, Tiange, additional, Zhao, Zhiyun, additional, Gao, Zhengnan, additional, Wang, Guixia, additional, Shen, Feixia, additional, Gu, Xuejiang, additional, Luo, Zuojie, additional, Chen, Li, 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, Chen, Lulu, additional, Zeng, Tianshu, additional, Zhao, Jiajun, additional, Mu, Yiming, additional, Wang, Weiqing, additional, Ning, Guang, additional, Bi, Yufang, additional, Chen, Yuhong, additional, and Lu, Jieli, additional

Published
2024
Full Text
View/download PDF

37. Non-alcoholic fatty liver disease, metabolic goal achievement with incident cardiovascular disease and eGFR-based chronic kidney disease in patients with prediabetes and diabetes

Author

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

Published
2021
Full Text
View/download PDF

40. Early Oral Antihyperglycemic Regimens after Short-Term Intensive Insulin Therapy Significantly Improve Glycemic Control in Newly Diagnosed Type 2 Diabetes Patients with Severe Hyperglycemia - A Multi-Center, Open-Label, Randomized Trial

Author

Liu, Liehua, primary, Ke, Weijian, additional, Li, Hai, additional, Li, Fangping, additional, Fan, Guanjie, additional, Kuang, Jian, additional, Ma, Jianhua, additional, Zhang, Xiuwei, additional, Ji, Bing, additional, Li, Shu, additional, Du, Yinghong, additional, Xue, Yao-Ming, additional, Lyu, Zhaohui, additional, Gao, Leili, additional, Qu, Shen, additional, Shi, Yongquan, additional, Yan, Li, additional, Deng, Wanping, additional, Xu, Zhaoyan, additional, Dai, Peiji, additional, Xu, Lijuan, additional, Liu, Juan, additional, Wan, Xuesi, additional, Wei, Guohong, additional, Yu, Shuang, additional, Hong, Shubin, additional, Zhang, Pengyuan, additional, Huang, Zhimin, additional, Cao, Xiaopei, additional, Liao, Zhihong, additional, Xiao, Haipeng, additional, Mu, Yiming, additional, Handelsman, Yehuda, additional, and Li, Yanbing, additional

Published
2024
Full Text
View/download PDF

41. Predictive factors that influence the clinical efficacy of umbilical cord–derived mesenchymal stromal cells in the treatment of type 2 diabetes mellitus

Author

Wang, Yuepeng, primary, Chen, Haixu, additional, Li, Yijun, additional, Hao, Haojie, additional, Liu, Jiejie, additional, Chen, Yulong, additional, Meng, Junhua, additional, Zhang, Saichun, additional, Gu, Weijun, additional, Lyu, Zhaohui, additional, Zang, Li, additional, and Mu, Yiming, additional

Published
2024
Full Text
View/download PDF

43. Anti-obesity effect and mechanism of mesenchymal stem cells influence on obese mice

Author

Xie Zongyan, Cheng Yu, Zhang Qi, Hao Haojie, Yin Yaqi, Zang Li, Wang Xuhong, and Mu Yiming

Subjects
adipose tissue, mesenchymal stem cell, energy expenditure, obesity, macrophage, Biology (General), QH301-705.5
Abstract

Mesenchymal stem cells (MSCs) can be obtained from almost all tissues and present promising therapeutic effects for metabolic diseases. Human adipose-derived MSCs (hASCs) have recently been widely studied due to their easy access and low immunity. Thus, we intended to figure out the effects and potential mechanism of hASCs on obesity in high-fat-diet (HFD)-induced obese mice. Following 16 weeks of being fed HFD, hASCs were intravenously injected. Two weeks later, body weight, body composition, and energy expenditure were evaluated. Additionally, the phenotypes of macrophages infiltrating adipose tissue were analyzed. The results revealed that hASCs administration significantly reduced adipose tissue weight, adipocyte size, and fat mass and exerted beneficial effects in serum lipid profile. This anti-obesity effect was mediated by the increased O2 consumption, CO2 production, and energy expenditure, which was further evidenced by the upregulation of uncoupling protein-1 (UCP-1) and metabolism-associated genes. Furthermore, hASCs infusion increased the amount of alternatively activated (M2) macrophages in adipose tissue, and the expression of pro-inflammatory cytokines-related genes was reduced. Taken together, these results indicated that hASCs suppressed obesity by increasing UCP-1 expression and enhancing energy expenditure, and this effect might be due to the increased M2 macrophages.

Published
2021
Full Text
View/download PDF

45. The efficacy and safety of iGlarLixi versus IDegAsp in Chinese people with type 2 diabetes suboptimally controlled with oral antidiabetic drugs: The Soli‐D randomized controlled trial.

Author

Liu, Ming, Gu, Weijun, Chen, Li, Li, Yanbing, Kuang, Hongyu, Du, Jianling, Alvarez, Agustina, Lauand, Felipe, Souhami, Elisabeth, Zhang, Jiewen, Xu, Weiya, Du, Qin, and Mu, Yiming

Abstract

Aim: To compare the efficacy and safety of a fixed‐ratio combination of insulin glargine 100 U/mL plus lixisenatide (iGlarLixi) with premixed insulin, insulin degludec plus insulin aspart (IDegAsp), in Chinese people with type 2 diabetes (T2D) suboptimally controlled with oral antidiabetic drug(s) (OADs). Methods: In Soli‐D, a 24‐week, multicentre, open‐label, study, insulin‐naïve adults were randomized 1:1 to once‐daily injections of iGlarLixi (n = 291) or IDegAsp (n = 291), with continued metformin ± sodium‐glucose co‐transporter‐2 inhibitors. The primary endpoint was non‐inferiority in HbA1c change from baseline to week 24. Key secondary endpoints included superiority in HbA1c change and body weight (BW) change at week 24. Hypoglycaemia rates were also assessed. Results: At week 24, iGlarLixi showed non‐inferiority and superiority over IDegAsp in HbA1c reduction (least squares [LS] mean difference: −0.20 [95% confidence interval {CI}: –0.33, −0.07]; P <.001 for non‐inferiority; [97.5% CI: –0.35, −0.05]; P =.003 for superiority). iGlarLixi decreased BW and IDegAsp increased BW from baseline to week 24, with a statistically significant LS mean difference of −1.49 kg in favour of iGlarLixi (97.5% CI: –2.32, −0.66; P <.001). Event rates (per person‐year) for American Diabetes Association (ADA) Level 1, 2 or 3 hypoglycaemia were lower for iGlarLixi (1.90) versus IDegAsp (2.72) (relative risk: 0.71; 95% CI: 0.52, 0.98). No ADA Level 3 hypoglycaemia or unexpected safety findings were reported. Conclusions: In Chinese people with T2D suboptimally controlled with OADs, once‐daily iGlarLixi provided better glycaemic control with BW benefit and lower hypoglycaemia event rates versus IDegAsp. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

50. Association of insulin resistance and β-cell dysfunction with incident diabetes among adults in China: a nationwide, population-based, prospective cohort study

Author

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

Published
2020
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results