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Microbiota responses to different prebiotics are conserved within individuals and associated with habitual fiber intake.
Holmes, Zachary C; Villa, Max M; Durand, Heather K; Jiang, Sharon; Dallow, Eric P; Petrone, Brianna L; Silverman, Justin D; Lin, Pao-Hwa; David, Lawrence A.
Afiliação
  • Holmes ZC; Department of Molecular Genetics and Microbiology, Duke University, 3 Genome Court, Durham, NC, 27705, USA.
  • Villa MM; Department of Molecular Genetics and Microbiology, Duke University, 3 Genome Court, Durham, NC, 27705, USA.
  • Durand HK; Center for Genomic and Computational Biology, Duke University, 3 Genome Court, Durham, NC, 27705, USA.
  • Jiang S; Department of Molecular Genetics and Microbiology, Duke University, 3 Genome Court, Durham, NC, 27705, USA.
  • Dallow EP; Center for Genomic and Computational Biology, Duke University, 3 Genome Court, Durham, NC, 27705, USA.
  • Petrone BL; Department of Molecular Genetics and Microbiology, Duke University, 3 Genome Court, Durham, NC, 27705, USA.
  • Silverman JD; Center for Genomic and Computational Biology, Duke University, 3 Genome Court, Durham, NC, 27705, USA.
  • Lin PH; Department of Molecular Genetics and Microbiology, Duke University, 3 Genome Court, Durham, NC, 27705, USA.
  • David LA; Center for Genomic and Computational Biology, Duke University, 3 Genome Court, Durham, NC, 27705, USA.
Microbiome ; 10(1): 114, 2022 07 29.
Article em En | MEDLINE | ID: mdl-35902900
ABSTRACT

BACKGROUND:

Short-chain fatty acids (SCFAs) derived from gut bacteria are associated with protective roles in diseases ranging from obesity to colorectal cancers. Intake of microbially accessible dietary fibers (prebiotics) lead to varying effects on SCFA production in human studies, and gut microbial responses to nutritional interventions vary by individual. It is therefore possible that prebiotic therapies will require customizing to individuals.

RESULTS:

Here, we explored prebiotic personalization by conducting a three-way crossover study of three prebiotic treatments in healthy adults. We found that within individuals, metabolic responses were correlated across the three prebiotics. Individual identity, rather than prebiotic choice, was also the major determinant of SCFA response. Across individuals, prebiotic response was inversely related to basal fecal SCFA concentration, which, in turn, was associated with habitual fiber intake. Experimental measures of gut microbial SCFA production for each participant also negatively correlated with fiber consumption, supporting a model in which individuals' gut microbiota are limited in their overall capacity to produce fecal SCFAs from fiber.

CONCLUSIONS:

Our findings support developing personalized prebiotic regimens that focus on selecting individuals who stand to benefit, and that such individuals are likely to be deficient in fiber intake. Video Abstract.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Prebióticos / Microbioma Gastrointestinal Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Prebióticos / Microbioma Gastrointestinal Idioma: En Ano de publicação: 2022 Tipo de documento: Article