Gut Microbiome-Based Diagnostic Model to Predict Diabetes Mellitus.

Yang, Hai-Tao; Liu, Jing-Kun; Xiu, Wen-Juan; Tian, Ting-Ting; Yang, Yi; Hou, Xian-Geng; Xie, Xiang

Yang, Hai-Tao; Liu, Jing-Kun; Xiu, Wen-Juan; Tian, Ting-Ting; Yang, Yi; Hou, Xian-Geng; Xie, Xiang.

Afiliação

Yang HT; Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Liu JK; Department of Oncology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Xiu WJ; College of Basic Medical Science, Xinjiang Medical University, Urumqi, China.
Tian TT; College of Basic Medical Science, Xinjiang Medical University, Urumqi, China.
Yang Y; Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Hou XG; Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Xie X; Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.

Bioengineered ; 12(2): 12521-12534, 2021 12.

Article em En | MEDLINE | ID: mdl-34927535

Assuntos

Diabetes Mellitus/diagnóstico; Diabetes Mellitus/microbiologia; Microbioma Gastrointestinal/fisiologia; Bactérias/genética; Fezes/microbiologia; Feminino; Microbioma Gastrointestinal/genética; Humanos; Masculino; Pessoa de Meia-Idade; RNA Ribossômico 16S/genética

Palavras-chave

16S rRNA genes; Intestinal microorganisms; diabetes; diagnostic model; fasting blood glucose

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus / Microbioma Gastrointestinal Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged Idioma: En Revista: Bioengineered Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

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