Isabel Gutiérrez-Díaz1,2, Nuria Salazar2,3, Jara Pérez-Jiménez4, Clara G de Los Reyes-Gavilán2,3, Miguel Gueimonde2,3, Sonia González5,6. 1. Department of Functional Biology, University of Oviedo, Oviedo, Spain. 2. Diet, Microbiota and Health Research Team, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain. 3. Department of Microbiology and Biochemistry of Dairy Products), Spanish Research Council (IPLA-CSIC), Instituto de Productos Lácteos de Asturias, Villaviciosa, Spain. 4. Department of Metabolism and Nutrition, Institute of Food Science, Technology and Nutrition (ICTAN-CSIC), Madrid, Spain. 5. Department of Functional Biology, University of Oviedo, Oviedo, Spain. soniagsolares@uniovi.es. 6. Diet, Microbiota and Health Research Team, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain. soniagsolares@uniovi.es.
Abstract
PURPOSE: Solid evidence has emerged supporting the role of polyphenols and fibers as gut microbiota modulators. These studies have been limited to the data available in food composition databases, which did not include the food content of non-extractable polyphenols (NEPP). The main objective of this work is to quantify the intake of the different types of dietary polyphenols including NEPP and to evaluate their impact on the composition and activity of the intestinal microbiota. METHODS: Cross-sectional descriptive study conducted on a sample of 147 adults with no declared pathologies. Dietary intake has been registered by a semi-quantitative Food Frequency Questionnaire (FFQ) and transformed into extractable (EPP) and NEPP, and dietary fibers based on available databases. Major phylogenetic types of the intestinal microbiota were determined by qPCR and fecal SCFA quantification was performed by gas chromatography. RESULTS: NEPP account for two-thirds of the total polyphenols intake. A combined analysis by stepwise regression model including all dietary fiber and (poly)phenols has identified hydrolysable (poly)phenol (HPP) intake, as the best predictor of Bacteroides-Prevotella-Porphyromonas group and Bifidobacterium levels in feces. Also, HPPs were positively associated with butyric acid, while insoluble fiber was identified as a predictor of propionic acid in feces. CONCLUSION: The intake of macromolecular (poly)phenols could contribute to modulate the gut microbiota by increasing the levels of certain intestinal microorganisms with proven health benefits.
PURPOSE: Solid evidence has emerged supporting the role of polyphenols and fibers as gut microbiota modulators. These studies have been limited to the data available in food composition databases, which did not include the food content of non-extractable polyphenols (NEPP). The main objective of this work is to quantify the intake of the different types of dietary polyphenols including NEPP and to evaluate their impact on the composition and activity of the intestinal microbiota. METHODS: Cross-sectional descriptive study conducted on a sample of 147 adults with no declared pathologies. Dietary intake has been registered by a semi-quantitative Food Frequency Questionnaire (FFQ) and transformed into extractable (EPP) and NEPP, and dietary fibers based on available databases. Major phylogenetic types of the intestinal microbiota were determined by qPCR and fecal SCFA quantification was performed by gas chromatography. RESULTS:NEPP account for two-thirds of the total polyphenols intake. A combined analysis by stepwise regression model including all dietary fiber and (poly)phenols has identified hydrolysable (poly)phenol (HPP) intake, as the best predictor of Bacteroides-Prevotella-Porphyromonas group and Bifidobacterium levels in feces. Also, HPPs were positively associated with butyric acid, while insoluble fiber was identified as a predictor of propionic acid in feces. CONCLUSION: The intake of macromolecular (poly)phenols could contribute to modulate the gut microbiota by increasing the levels of certain intestinal microorganisms with proven health benefits.
Authors: Joseph Shay; Hosam A Elbaz; Icksoo Lee; Steven P Zielske; Moh H Malek; Maik Hüttemann Journal: Oxid Med Cell Longev Date: 2015-06-09 Impact factor: 6.543
Authors: Daniele Del Rio; Ana Rodriguez-Mateos; Jeremy P E Spencer; Massimiliano Tognolini; Gina Borges; Alan Crozier Journal: Antioxid Redox Signal Date: 2012-08-27 Impact factor: 8.401