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Distinct differences in gut microbial composition and functional potential from lean to morbidly obese subjects.
Meijnikman, A S; Aydin, O; Prodan, A; Tremaroli, V; Herrema, H; Levin, E; Acherman, Y; Bruin, S; Gerdes, V E; Backhed, F; Groen, A K; Nieuwdorp, M.
Afiliación
  • Meijnikman AS; From the, Department of Internal and Vascular Medicine, Academic Medical Center, Amsterdam, the Netherlands.
  • Aydin O; Department of Surgery, Spaarne Hospital, Hoofddorp, the Netherlands.
  • Prodan A; From the, Department of Internal and Vascular Medicine, Academic Medical Center, Amsterdam, the Netherlands.
  • Tremaroli V; Department of Surgery, Spaarne Hospital, Hoofddorp, the Netherlands.
  • Herrema H; From the, Department of Internal and Vascular Medicine, Academic Medical Center, Amsterdam, the Netherlands.
  • Levin E; Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Sahlgrenska Academy, Goteborgs Universitet, Gothenburg, Sweden.
  • Acherman Y; From the, Department of Internal and Vascular Medicine, Academic Medical Center, Amsterdam, the Netherlands.
  • Bruin S; From the, Department of Internal and Vascular Medicine, Academic Medical Center, Amsterdam, the Netherlands.
  • Gerdes VE; Department of Surgery, Spaarne Hospital, Hoofddorp, the Netherlands.
  • Backhed F; Department of Surgery, Spaarne Hospital, Hoofddorp, the Netherlands.
  • Groen AK; From the, Department of Internal and Vascular Medicine, Academic Medical Center, Amsterdam, the Netherlands.
  • Nieuwdorp M; Department of Surgery, Spaarne Hospital, Hoofddorp, the Netherlands.
J Intern Med ; 288(6): 699-710, 2020 12.
Article en En | MEDLINE | ID: mdl-32633011
INTRODUCTION: The gut microbiome may contribute to the development of obesity. So far, the extent of microbiome variation in people with obesity has not been determined in large cohorts and for a wide range of body mass index (BMI). Here, we aimed to investigate whether the faecal microbial metagenome can explain the variance in several clinical phenotypes associated with morbid obesity. METHODS: Caucasian subjects were recruited at our hospital. Blood pressure and anthropometric measurements were taken. Dietary intake was determined using questionnaires. Shotgun metagenomic sequencing was performed on faecal samples from 177 subjects. RESULTS: Subjects without obesity (n = 82, BMI 24.7 ± 2.9 kg m-2 ) and subjects with obesity (n = 95, BMI 38.6 ± 5.1 kg m-2 ) could be clearly distinguished based on microbial composition and microbial metabolic pathways. A total number of 52 bacterial species differed significantly in people with and without obesity. Independent of dietary intake, we found that microbial pathways involved in biosynthesis of amino acids were enriched in subjects with obesity, whereas pathways involved in the degradation of amino acids were depleted. Machine learning models showed that more than half of the variance in body fat composition followed by BMI could be explained by the gut microbiome, composition and microbial metabolic pathways, compared with 6% of variation explained in triglycerides and 9% in HDL. CONCLUSION: Based on the faecal microbiota composition, we were able to separate subjects with and without obesity. In addition, we found strong associations between gut microbial amino acid metabolism and specific microbial species in relation to clinical features of obesity.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Delgadez / Obesidad Mórbida / Microbioma Gastrointestinal Límite: Adult / Humans / Middle aged Idioma: En Revista: J Intern Med Asunto de la revista: MEDICINA INTERNA Año: 2020 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Delgadez / Obesidad Mórbida / Microbioma Gastrointestinal Límite: Adult / Humans / Middle aged Idioma: En Revista: J Intern Med Asunto de la revista: MEDICINA INTERNA Año: 2020 Tipo del documento: Article País de afiliación: Países Bajos