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Nutrients ; 10(5)2018 May 08.
Artículo en Inglés | MEDLINE | ID: mdl-29738477

RESUMEN

Personalized nutrition is of increasing interest to individuals actively monitoring their health. The relations between the duration of diet intervention and the effects on gut microbiota have yet to be elucidated. Here we examined the associations of short-term dietary changes, long-term dietary habits and lifestyle with gut microbiota. Stool samples from 248 citizen-science volunteers were collected before and after a self-reported 2-week personalized diet intervention, then analyzed using 16S rRNA sequencing. Considerable correlations between long-term dietary habits and gut community structure were detected. A higher intake of vegetables and fruits was associated with increased levels of butyrate-producing Clostridiales and higher community richness. A paired comparison of the metagenomes before and after the 2-week intervention showed that even a brief, uncontrolled intervention produced profound changes in community structure: resulting in decreased levels of Bacteroidaceae, Porphyromonadaceae and Rikenellaceae families and decreased alpha-diversity coupled with an increase of Methanobrevibacter, Bifidobacterium, Clostridium and butyrate-producing Lachnospiraceae- as well as the prevalence of a permatype (a bootstrapping-based variation of enterotype) associated with a higher diversity of diet. The response of microbiota to the intervention was dependent on the initial microbiota state. These findings pave the way for the development of an individualized diet.


Asunto(s)
Dieta , Microbioma Gastrointestinal , Bacteroidetes/genética , Bacteroidetes/aislamiento & purificación , Bifidobacterium/genética , Bifidobacterium/aislamiento & purificación , Clostridium/genética , Clostridium/aislamiento & purificación , Análisis por Conglomerados , Heces/química , Heces/microbiología , Humanos , Metagenoma , Methanobrevibacter/genética , Methanobrevibacter/aislamiento & purificación , ARN Ribosómico 16S/genética , Tamaño de la Muestra , Análisis de Secuencia de ADN
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