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Yang Yu
Yang Yu
Department of Endocrinology and Metabolism, Huai’an Hospital Affiliated to Xuzhou Medical University and Huai’an Second People’s Hospital, Huai’an, Jiangsu, China
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Hairong Hao
Hairong Hao
Department of Endocrinology and Metabolism, Huai’an Hospital Affiliated to Xuzhou Medical University and Huai’an Second People’s Hospital, Huai’an, Jiangsu, China
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Linghui Kong
Linghui Kong
Department of Endocrinology and Metabolism, Huai’an Hospital Affiliated to Xuzhou Medical University and Huai’an Second People’s Hospital, Huai’an, Jiangsu, China
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Jie Zhang
Jie Zhang
Department of Endocrinology and Metabolism, Huai’an Hospital Affiliated to Xuzhou Medical University and Huai’an Second People’s Hospital, Huai’an, Jiangsu, China
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Feng Bai
Feng Bai
Department of Endocrinology and Metabolism, Huai’an Hospital Affiliated to Xuzhou Medical University and Huai’an Second People’s Hospital, Huai’an, Jiangsu, China
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Fei Guo
Fei Guo
Department of Endocrinology and Metabolism, Huai’an Hospital Affiliated to Xuzhou Medical University and Huai’an Second People’s Hospital, Huai’an, Jiangsu, China
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Pan Wei
Pan Wei
Department of Endocrinology and Metabolism, Huai’an Hospital Affiliated to Xuzhou Medical University and Huai’an Second People’s Hospital, Huai’an, Jiangsu, China
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Rui Chen
Rui Chen
Department of Endocrinology and Metabolism, Huai’an Hospital Affiliated to Xuzhou Medical University and Huai’an Second People’s Hospital, Huai’an, Jiangsu, China
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Wen Hu
Wen Hu
Department of Endocrinology and Metabolism, Huai’an Hospital Affiliated to Xuzhou Medical University and Huai’an Second People’s Hospital, Huai’an, Jiangsu, China
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the relative abundance of each metabolite type in each sample. (D) 2D principal component score plots of the analysed samples and box plots corresponding to the principal component scores. (E) Partial least square-discriminant analysis (PLS-DA) score
Xiaohui Weng
Xiaohui Weng
School of Mechanical and Aerospace Engineering, Jilin University, Changchun, China
Weihai Institute for Bionics, Jilin University, Weihai, China
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Weihai Institute for Bionics, Jilin University, Weihai, China
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Gehong Li
Gehong Li
School of Mathematics, Jilin University, Changchun, China
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Ziwei Liu
Ziwei Liu
Department of endocrinology, Jinshan Branch of Shanghai Sixth People's Hospital, Shanghai, China
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Rui Liu
Rui Liu
Department of VIP Unit, China-Japan Union Hospital of Jilin University, Changchun, China
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Zhaoyang Liu
Zhaoyang Liu
Digital Intelligent Cockpit Department, Intelligent Connected Vehicle Development Institute, China FAW Group Co LTD, Changchun, China
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Songyang Wang
Songyang Wang
Digital Intelligent Cockpit Department, Intelligent Connected Vehicle Development Institute, China FAW Group Co LTD, Changchun, China
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Shishun Zhao
Shishun Zhao
School of Mathematics, Jilin University, Changchun, China
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Xiaotong Ma
Xiaotong Ma
School of Mathematics, Jilin University, Changchun, China
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Zhiyong Chang
Zhiyong Chang
Weihai Institute for Bionics, Jilin University, Weihai, China
College of Biological and Agricultural Engineering, Jilin University, Changchun, China
Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun, China
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College of Biological and Agricultural Engineering, Jilin University, Changchun, China
Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun, China
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. A pattern recognition method based on principal component analysis (PCA) was used to identify gaseous VOCs in 120 healthy volunteers and 120 diabetic patients to study the ability of features to distinguish health status. PCA results showed that 60
Zhenyu Liu
Zhenyu Liu
Department of Clinical Medicine, Beijing Luhe Hospital, Capital Medical University, Tongzhou District, Beijing, China
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Huixi Kong
Huixi Kong
Department of Clinical Medicine, Beijing Shijitan Hospital, Capital Medical University, Haidian District, Beijing, China
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Baoyu Zhang
Baoyu Zhang
Center for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Tongzhou District, Beijing, China
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DM and overweight Post hoc analysis of a randomized, open-label, active-comparator, parallel-group trial ( 40 ) Exenatide lixisenatide liraglutide ⇔ – Study A: 9 healthy men with overweight Study B: 52 patients with overweight and T
Feifei Shao
Feifei Shao
Department of Endocrinology, Gansu Provincial Hospital, Lanzhou, Gansu, China
Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China
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Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China
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Xinxin Hu
Xinxin Hu
Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China
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The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China
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Jiayu Li
Jiayu Li
Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China
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The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China
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Bona Bai
Bona Bai
Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China
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The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China
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Limin Tian
Limin Tian
Department of Endocrinology, Gansu Provincial Hospital, Lanzhou, Gansu, China
Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China
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Clinical Research Center for Metabolic Disease, Gansu Province, Lanzhou, Gansu, China
The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China
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. Unidimensional statistical analysis was performed using the Student’s t -test, and multidimensional statistical analysis and R software map were employed for principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS
Yunyi Ding
Yunyi Ding
Department of Nephrology, Hangzhou TCM Hospital of Zhejiang Chinese Medical University, Hangzhou, China
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Siyao Lv
Siyao Lv
Department of Gastroenterology, Hangzhou TCM Hospital of Zhejiang Chinese Medical University, Hangzhou, China
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Ruijie Xie
Ruijie Xie
Division of Clinical Epidemiology and Aging Research, University of Heidelberg, Heidelberg, Germany
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Wei Ye
Wei Ye
Department of Gastroenterology, Hangzhou TCM Hospital, Hangzhou, China
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Yichen Luo
Yichen Luo
School of Mechanical Engineering, Zhejiang University, Hangzhou, China
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Yayu Li
Yayu Li
Department of Nephrology, Hangzhou TCM Hospital, Hangzhou, China
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association between BMI and the incidence of DKD ( 26 , 27 , 28 ). Conversely, the relationship between WWI and the occurrence of DKD has not undergone a comprehensive investigation. In light of this knowledge gap, we undertook an analysis of the association
