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Gut Microbiota Profile of Obese Diabetic Women Submitted to Roux-en-Y Gastric Bypass and Its Association with Food Intake and Postoperative Diabetes Remission.
Al Assal, Karina; Prifti, Edi; Belda, Eugeni; Sala, Priscila; Clément, Karine; Dao, Maria-Carlota; Doré, Joel; Levenez, Florence; Taddei, Carla R; Fonseca, Danielle Cristina; Rocha, Ilanna Marques; Balmant, Bianca Depieri; Thomas, Andrew Maltez; Santo, Marco A; Dias-Neto, Emmanuel; Setubal, João Carlos; Zucker, Jean-Daniel; Belarmino, Giliane; Torrinhas, Raquel Susana; Waitzberg, Dan L.
Afiliação
  • Al Assal K; Department of Gastroenterology, FMUSP, School of Medicine, University of São Paulo, Digestive Surgery Discipline (LIM 35), São Paulo 01246-903, Brazil.
  • Prifti E; Sorbonne Universités, IRD, Unité de Modélisation Mathématique et Informatique des Systèmes Complexes (UMMISCO), F-93143 Bondy, France.
  • Belda E; Institute of Cardiometabolism and Nutrition (ICAN) Integromics Team, Pitié-Salpêtrière Hospital, 75013 Paris, France.
  • Sala P; Institute of Cardiometabolism and Nutrition (ICAN) Integromics Team, Pitié-Salpêtrière Hospital, 75013 Paris, France.
  • Clément K; Department of Gastroenterology, FMUSP, School of Medicine, University of São Paulo, Digestive Surgery Discipline (LIM 35), São Paulo 01246-903, Brazil.
  • Dao MC; Assistance Publique Hôpitaux de Paris, Nutrition Department, Pitié-Salpêtrière Hospital, 75013 Paris, France.
  • Doré J; Sorbonne Université, INSERM, NutriOmics Research Unit, 75013 Paris, France.
  • Levenez F; Institute of Cardiometabolism and Nutrition (ICAN) Integromics Team, Pitié-Salpêtrière Hospital, 75013 Paris, France.
  • Taddei CR; Sorbonne Université, INSERM, NutriOmics Research Unit, 75013 Paris, France.
  • Fonseca DC; Université Paris-Saclay, INRA, MetaGenoPolis, AgroParisTech, MICALIS, 78350 Jouy-en-Josas, France.
  • Rocha IM; Université Paris-Saclay, INRA, MetaGenoPolis, AgroParisTech, MICALIS, 78350 Jouy-en-Josas, France.
  • Balmant BD; Department of Clinical Analysis and Toxicology, School of Pharmaceutical Sciences, University of São Paulo, São Paulo 05508-000, Brazil.
  • Thomas AM; Department of Gastroenterology, FMUSP, School of Medicine, University of São Paulo, Digestive Surgery Discipline (LIM 35), São Paulo 01246-903, Brazil.
  • Santo MA; Department of Gastroenterology, FMUSP, School of Medicine, University of São Paulo, Digestive Surgery Discipline (LIM 35), São Paulo 01246-903, Brazil.
  • Dias-Neto E; Department of Gastroenterology, FMUSP, School of Medicine, University of São Paulo, Digestive Surgery Discipline (LIM 35), São Paulo 01246-903, Brazil.
  • Setubal JC; Medical Genomics Laboratory, CIPE/A.C. Camargo Cancer Center, São Paulo 01525-001, Brazil.
  • Zucker JD; Department of Gastroenterology, FMUSP, School of Medicine, University of São Paulo, Digestive Surgery Discipline (LIM 35), São Paulo 01246-903, Brazil.
  • Belarmino G; Medical Genomics Laboratory, CIPE/A.C. Camargo Cancer Center, São Paulo 01525-001, Brazil.
  • Torrinhas RS; Laboratory of Neurosciences (LIM-27) Alzira Denise Hertzog Silva, Institute of Psychiatry, Faculdade de Medicina, Universidade de São Paulo (USP), São Paulo 05403-010, Brazil.
  • Waitzberg DL; Department of Biochemistry, Institute of Chemistry, University of São Paulo, São Paulo 05508-220, Brazil.
Nutrients ; 12(2)2020 Jan 21.
Article em En | MEDLINE | ID: mdl-31973130
Gut microbiota composition is influenced by environmental factors and has been shown to impact body metabolism. OBJECTIVE: To assess the gut microbiota profile before and after Roux-en-Y gastric bypass (RYGB) and the correlation with food intake and postoperative type 2 diabetes remission (T2Dr). DESIGN: Gut microbiota profile from obese diabetic women was evaluated before (n = 25) and 3 (n = 20) and 12 months (n = 14) after RYGB, using MiSeq Illumina-based V4 bacterial 16S rRNA gene profiling. Data on food intake (7-day record) and T2Dr (American Diabetes Association (ADA) criteria) were recorded. RESULTS: Preoperatively, the abundance of five bacteria genera differed between patients with (57%) and without T2Dr (p < 0.050). Preoperative gut bacteria genus signature was able to predict the T2Dr status with 0.94 accuracy ROC curve (receiver operating characteristic curve). Postoperatively (vs. preoperative), the relative abundance of some gut bacteria genera changed, the gut microbial richness increased, and the Firmicutes to Bacteroidetes ratio (rFB) decreased (p < 0.05) regardless of T2Dr. Richness levels was correlated with dietary profile pre and postoperatively, mainly displaying positive and inverse correlations with fiber and lipid intakes, respectively (p < 0.05). CONCLUSIONS: Gut microbiota profile was influenced by RYGB and correlated with diet and T2Dr preoperatively, suggesting the possibility to assess its composition to predict postoperative T2Dr.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Obesidade Mórbida / Derivação Gástrica / Diabetes Mellitus Tipo 2 / Ingestão de Alimentos / Microbioma Gastrointestinal Tipo de estudo: Etiology_studies / Evaluation_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Middle aged Idioma: En Revista: Nutrients Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Obesidade Mórbida / Derivação Gástrica / Diabetes Mellitus Tipo 2 / Ingestão de Alimentos / Microbioma Gastrointestinal Tipo de estudo: Etiology_studies / Evaluation_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Middle aged Idioma: En Revista: Nutrients Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil