Pilot study of diet and microbiota: interactive associations of fibers and polyphenols with human intestinal bacteria.
Identifieur interne : 000332 ( PubMed/Corpus ); précédent : 000331; suivant : 000333Pilot study of diet and microbiota: interactive associations of fibers and polyphenols with human intestinal bacteria.
Auteurs : Adriana Cuervo ; Lorena Valdés ; Nuria Salazar ; Clara G. De Los Reyes-Gavilán ; Patricia Ruas-Madiedo ; Miguel Gueimonde ; Sonia GonzálezSource :
- Journal of agricultural and food chemistry [ 1520-5118 ] ; 2014.
English descriptors
- KwdEn :
- Aged, Bacteria (classification), Bacteria (genetics), Bacteria (isolation & purification), Bread (analysis), Citrus sinensis (chemistry), Citrus sinensis (metabolism), Diet, Dietary Fiber (analysis), Dietary Fiber (metabolism), Eating, Feces (microbiology), Female, Food Habits, Humans, Intestines (metabolism), Intestines (microbiology), Male, Microbiota, Middle Aged, Pilot Projects, Polyphenols (analysis), Polyphenols (metabolism).
- MESH :
- chemical , analysis : Polyphenols.
- analysis : Bread, Dietary Fiber.
- chemistry : Citrus sinensis.
- classification : Bacteria.
- genetics : Bacteria.
- isolation & purification : Bacteria.
- metabolism : Citrus sinensis, Dietary Fiber, Intestines, Polyphenols.
- microbiology : Feces, Intestines.
- Aged, Diet, Eating, Female, Food Habits, Humans, Male, Microbiota, Middle Aged, Pilot Projects.
Abstract
Several studies have addressed the use of dietary fibers in the modulation of intestinal microbiota; however, information about other highly correlated components in foods, such as polyphenols, is scarce. The aim of this work was to explore the association between the intake of fibers and polyphenols from a regular diet and fecal microbiota composition in 38 healthy adults. Food intake was recorded using an annual food frequency questionnaire (FFQ). Quantification of microbial populations in feces was performed by quantitative PCR. A negative association was found between the intake of pectins and flavanones from oranges and the levels of Blautia coccoides and Clostridium leptum. By contrast, white bread, providing hemicellulose and resistant starch, was directly associated with Lactobacillus. Because some effects on intestinal microbiota attributed to isolated fibers or polyphenols might be modified by other components present in the same food, future research should be focused on diet rather than individual compounds.
DOI: 10.1021/jf501546a
PubMed: 24877654
Links to Exploration step
pubmed:24877654Le document en format XML
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De Los Reyes-Gavilán</name></author><author><name sortKey="Ruas Madiedo, Patricia" sort="Ruas Madiedo, Patricia" uniqKey="Ruas Madiedo P" first="Patricia" last="Ruas-Madiedo">Patricia Ruas-Madiedo</name></author><author><name sortKey="Gueimonde, Miguel" sort="Gueimonde, Miguel" uniqKey="Gueimonde M" first="Miguel" last="Gueimonde">Miguel Gueimonde</name></author><author><name sortKey="Gonzalez, Sonia" sort="Gonzalez, Sonia" uniqKey="Gonzalez S" first="Sonia" last="González">Sonia González</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2014">2014</date><idno type="RBID">pubmed:24877654</idno><idno type="pmid">24877654</idno><idno type="doi">10.1021/jf501546a</idno><idno type="wicri:Area/PubMed/Corpus">000332</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Pilot study of diet and microbiota: interactive associations of fibers and polyphenols with human intestinal bacteria.</title><author><name sortKey="Cuervo, Adriana" sort="Cuervo, Adriana" uniqKey="Cuervo A" first="Adriana" last="Cuervo">Adriana Cuervo</name><affiliation><nlm:affiliation>Department of Functional Biology, Facultad de Medicina, University of Oviedo, C/Julián Claverı́a s/n, 33006 Oviedo, Asturias, Spain.</nlm:affiliation></affiliation></author><author><name sortKey="Valdes, Lorena" sort="Valdes, Lorena" uniqKey="Valdes L" first="Lorena" last="Valdés">Lorena Valdés</name></author><author><name sortKey="Salazar, Nuria" sort="Salazar, Nuria" uniqKey="Salazar N" first="Nuria" last="Salazar">Nuria Salazar</name></author><author><name sortKey="De Los Reyes Gavilan, Clara G" sort="De Los Reyes Gavilan, Clara G" uniqKey="De Los Reyes Gavilan C" first="Clara G" last="De Los Reyes-Gavilán">Clara G. De Los Reyes-Gavilán</name></author><author><name sortKey="Ruas Madiedo, Patricia" sort="Ruas Madiedo, Patricia" uniqKey="Ruas Madiedo P" first="Patricia" last="Ruas-Madiedo">Patricia Ruas-Madiedo</name></author><author><name sortKey="Gueimonde, Miguel" sort="Gueimonde, Miguel" uniqKey="Gueimonde M" first="Miguel" last="Gueimonde">Miguel Gueimonde</name></author><author><name sortKey="Gonzalez, Sonia" sort="Gonzalez, Sonia" uniqKey="Gonzalez S" first="Sonia" last="González">Sonia González</name></author></analytic><series><title level="j">Journal of agricultural and food chemistry</title><idno type="eISSN">1520-5118</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged</term><term>Bacteria (classification)</term><term>Bacteria (genetics)</term><term>Bacteria (isolation & purification)</term><term>Bread (analysis)</term><term>Citrus sinensis (chemistry)</term><term>Citrus sinensis (metabolism)</term><term>Diet</term><term>Dietary Fiber (analysis)</term><term>Dietary Fiber (metabolism)</term><term>Eating</term><term>Feces (microbiology)</term><term>Female</term><term>Food Habits</term><term>Humans</term><term>Intestines (metabolism)</term><term>Intestines (microbiology)</term><term>Male</term><term>Microbiota</term><term>Middle Aged</term><term>Pilot Projects</term><term>Polyphenols (analysis)</term><term>Polyphenols (metabolism)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Polyphenols</term></keywords><keywords scheme="MESH" qualifier="analysis" xml:lang="en"><term>Bread</term><term>Dietary Fiber</term></keywords><keywords scheme="MESH" qualifier="chemistry" xml:lang="en"><term>Citrus sinensis</term></keywords><keywords scheme="MESH" qualifier="classification" xml:lang="en"><term>Bacteria</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Bacteria</term></keywords><keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en"><term>Bacteria</term></keywords><keywords scheme="MESH" qualifier="metabolism" xml:lang="en"><term>Citrus sinensis</term><term>Dietary Fiber</term><term>Intestines</term><term>Polyphenols</term></keywords><keywords scheme="MESH" qualifier="microbiology" xml:lang="en"><term>Feces</term><term>Intestines</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Aged</term><term>Diet</term><term>Eating</term><term>Female</term><term>Food Habits</term><term>Humans</term><term>Male</term><term>Microbiota</term><term>Middle Aged</term><term>Pilot Projects</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Several studies have addressed the use of dietary fibers in the modulation of intestinal microbiota; however, information about other highly correlated components in foods, such as polyphenols, is scarce. The aim of this work was to explore the association between the intake of fibers and polyphenols from a regular diet and fecal microbiota composition in 38 healthy adults. Food intake was recorded using an annual food frequency questionnaire (FFQ). Quantification of microbial populations in feces was performed by quantitative PCR. A negative association was found between the intake of pectins and flavanones from oranges and the levels of Blautia coccoides and Clostridium leptum. By contrast, white bread, providing hemicellulose and resistant starch, was directly associated with Lactobacillus. Because some effects on intestinal microbiota attributed to isolated fibers or polyphenols might be modified by other components present in the same food, future research should be focused on diet rather than individual compounds.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">24877654</PMID><DateCreated><Year>2014</Year><Month>6</Month><Day>11</Day></DateCreated><DateCompleted><Year>2015</Year><Month>01</Month><Day>21</Day></DateCompleted><DateRevised><Year>2014</Year><Month>6</Month><Day>11</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1520-5118</ISSN><JournalIssue CitedMedium="Internet"><Volume>62</Volume><Issue>23</Issue><PubDate><Year>2014</Year><Month>Jun</Month><Day>11</Day></PubDate></JournalIssue><Title>Journal of agricultural and food chemistry</Title><ISOAbbreviation>J. Agric. Food Chem.</ISOAbbreviation></Journal><ArticleTitle>Pilot study of diet and microbiota: interactive associations of fibers and polyphenols with human intestinal bacteria.</ArticleTitle><Pagination><MedlinePgn>5330-6</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1021/jf501546a</ELocationID><Abstract><AbstractText>Several studies have addressed the use of dietary fibers in the modulation of intestinal microbiota; however, information about other highly correlated components in foods, such as polyphenols, is scarce. The aim of this work was to explore the association between the intake of fibers and polyphenols from a regular diet and fecal microbiota composition in 38 healthy adults. Food intake was recorded using an annual food frequency questionnaire (FFQ). Quantification of microbial populations in feces was performed by quantitative PCR. A negative association was found between the intake of pectins and flavanones from oranges and the levels of Blautia coccoides and Clostridium leptum. By contrast, white bread, providing hemicellulose and resistant starch, was directly associated with Lactobacillus. Because some effects on intestinal microbiota attributed to isolated fibers or polyphenols might be modified by other components present in the same food, future research should be focused on diet rather than individual compounds.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Cuervo</LastName><ForeName>Adriana</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Department of Functional Biology, Facultad de Medicina, University of Oviedo, C/Julián Claverı́a s/n, 33006 Oviedo, Asturias, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Valdés</LastName><ForeName>Lorena</ForeName><Initials>L</Initials></Author><Author ValidYN="Y"><LastName>Salazar</LastName><ForeName>Nuria</ForeName><Initials>N</Initials></Author><Author ValidYN="Y"><LastName>de los Reyes-Gavilán</LastName><ForeName>Clara G</ForeName><Initials>CG</Initials></Author><Author ValidYN="Y"><LastName>Ruas-Madiedo</LastName><ForeName>Patricia</ForeName><Initials>P</Initials></Author><Author ValidYN="Y"><LastName>Gueimonde</LastName><ForeName>Miguel</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>González</LastName><ForeName>Sonia</ForeName><Initials>S</Initials></Author></AuthorList><Language>ENG</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>May</Month><Day>30</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Agric Food Chem</MedlineTA><NlmUniqueID>0374755</NlmUniqueID><ISSNLinking>0021-8561</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance 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MajorTopicYN="N">Diet</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004043" MajorTopicYN="N">Dietary Fiber</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004435" MajorTopicYN="N">Eating</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005243" MajorTopicYN="N">Feces</DescriptorName><QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005510" MajorTopicYN="N">Food Habits</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007422" MajorTopicYN="N">Intestines</DescriptorName><QualifierName UI="Q000378" 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