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Integrating Choline and Specific Intestinal Microbiota to Classify Type 2 Diabetes in Adults: A Machine Learning Based Metagenomics Study.
Zeng, Qiang; Zhao, Mingming; Wang, Fei; Li, Yanping; Li, Huimin; Zheng, Jianqiong; Chen, Xianyang; Zhao, Xiaolan; Ji, Liang; Gao, Xiangyang; Liu, Changjie; Wang, Yu; Cheng, Si; Xu, Jie; Pan, Bing; Sun, Jing; Li, Yongli; Li, Dongfang; He, Yuan; Zheng, Lemin.
Afiliação
  • Zeng Q; Health Management Institute, the Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese People's Liberation Army General Hospital, Beijing, China.
  • Zhao M; China National Clinical Research Center for Neurological Diseases, Tiantan Hospital, Advanced Innovation Center for Human Brain Protection, The Capital Medical University, Beijing, China.
  • Wang F; The Institute of Cardiovascular Sciences and Institute of Systems Biomedicine, School of Basic Medical Sciences, Peking University Health Science Center, Key Laboratory of Molecular Cardiovascular Science of Ministry of Education, Key Laboratory of Cardiovascular Molecular Biology and Regulatory Pep
  • Li Y; Health Management Institute, the Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese People's Liberation Army General Hospital, Beijing, China.
  • Li H; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, China.
  • Zheng J; National Human Genetic Resources Center, Beijing, China, National Research Institute for Family Planning, Beijing, China.
  • Chen X; Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Zhao X; Department of Obstetrics and Gynecology, The Third Clinical Institute Affiliated to Wenzhou Medical University, The Third Affiliated Hospital of Shanghai University, Wenzhou People's Hospital, Wenzhou Maternal and Child Health Care Hospital, Wenzhou, China.
  • Ji L; Bao Feng Key Laboratory of Genetics and Metabolism, Zhongyuan Biotechnology Holdings Group, Beijing, China.
  • Gao X; Zhong Guan Cun Biological and Medical Big Data Center, Zhong Guan Cun Medical Engineering & Health Industry Base, Beijing, China.
  • Liu C; Southwest Hospital, Third Military Medical University, Chongqing, China.
  • Wang Y; The Institute of Cardiovascular Sciences and Institute of Systems Biomedicine, School of Basic Medical Sciences, Peking University Health Science Center, Key Laboratory of Molecular Cardiovascular Science of Ministry of Education, Key Laboratory of Cardiovascular Molecular Biology and Regulatory Pep
  • Cheng S; Health Management Institute, the Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese People's Liberation Army General Hospital, Beijing, China.
  • Xu J; The Institute of Cardiovascular Sciences and Institute of Systems Biomedicine, School of Basic Medical Sciences, Peking University Health Science Center, Key Laboratory of Molecular Cardiovascular Science of Ministry of Education, Key Laboratory of Cardiovascular Molecular Biology and Regulatory Pep
  • Pan B; Health Management Center, The 910th Hospital of People's Liberation Army, Quanzhou, China.
  • Sun J; China National Clinical Research Center for Neurological Diseases, Tiantan Hospital, Advanced Innovation Center for Human Brain Protection, The Capital Medical University, Beijing, China.
  • Li Y; China National Clinical Research Center for Neurological Diseases, Tiantan Hospital, Advanced Innovation Center for Human Brain Protection, The Capital Medical University, Beijing, China.
  • Li D; The Institute of Cardiovascular Sciences and Institute of Systems Biomedicine, School of Basic Medical Sciences, Peking University Health Science Center, Key Laboratory of Molecular Cardiovascular Science of Ministry of Education, Key Laboratory of Cardiovascular Molecular Biology and Regulatory Pep
  • He Y; Health Management Center, The China-Japan Union Hospital of Jilin University, Changchun, China.
  • Zheng L; Department of Health Management, Henan Provincial People's Hospital, Zhengzhou, China.
Front Endocrinol (Lausanne) ; 13: 906310, 2022.
Article em En | MEDLINE | ID: mdl-35832425
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 3_ND Problema de saúde: 3_zoonosis Assunto principal: Estado Pré-Diabético / Diabetes Mellitus Tipo 2 / Microbioma Gastrointestinal Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Revista: Front Endocrinol (Lausanne) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 3_ND Problema de saúde: 3_zoonosis Assunto principal: Estado Pré-Diabético / Diabetes Mellitus Tipo 2 / Microbioma Gastrointestinal Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Revista: Front Endocrinol (Lausanne) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China