AustralieFrV1, PubMed, Checkpoint, bibRecord, 003505

High-fat diet alters gut microbiota physiology in mice.

Identifieur interne : 003505 ( PubMed/Checkpoint ); précédent : 003504; suivant : 003506

High-fat diet alters gut microbiota physiology in mice.

Auteurs : Hannelore Daniel [Allemagne] ; Amin Moghaddas Gholami [Allemagne] ; David Berry [Autriche] ; Charles Desmarchelier [Allemagne] ; Hannes Hahne [Allemagne] ; Gunnar Loh [Allemagne] ; Stanislas Mondot [Australie] ; Patricia Lepage [France] ; Michael Rothballer [Allemagne] ; Alesia Walker [Allemagne] ; Christoph Böhm [Autriche] ; Mareike Wenning [Allemagne] ; Michael Wagner [Autriche] ; Michael Blaut [Allemagne] ; Philippe Schmitt-Kopplin [Allemagne] ; Bernhard Kuster [Allemagne] ; Dirk Haller [Allemagne] ; Thomas Clavel [Allemagne]

Source :

The ISME journal [ 1751-7370 ] ; 2014.

RBID : pubmed:24030595

Descripteurs français

KwdFr :
- ARN ribosomique 16S (génétique), Alimentation riche en graisse, Animaux, Bactéries (), Bactéries (génétique), Biodiversité, Caecum (microbiologie), Microbiote (physiologie), Mâle, Métabolome, Obésité (microbiologie), Phénomènes physiologiques bactériens, Protéome, Souris, Souris de lignée C57BL, Tube digestif (microbiologie).
MESH :
- génétique : ARN ribosomique 16S, Bactéries.
- microbiologie : Caecum, Obésité, Tube digestif.
- physiologie : Microbiote.
- Alimentation riche en graisse, Animaux, Bactéries, Biodiversité, Mâle, Métabolome, Phénomènes physiologiques bactériens, Protéome, Souris, Souris de lignée C57BL.

English descriptors

KwdEn :
- Animals, Bacteria (classification), Bacteria (genetics), Bacterial Physiological Phenomena, Biodiversity, Cecum (microbiology), Diet, High-Fat, Gastrointestinal Tract (microbiology), Male, Metabolome, Mice, Mice, Inbred C57BL, Microbiota (physiology), Obesity (microbiology), Proteome, RNA, Ribosomal, 16S (genetics).
MESH :
- chemical , genetics : RNA, Ribosomal, 16S.
- chemical : Proteome.
- classification : Bacteria.
- genetics : Bacteria.
- microbiology : Cecum, Gastrointestinal Tract, Obesity.
- physiology : Microbiota.
- Animals, Bacterial Physiological Phenomena, Biodiversity, Diet, High-Fat, Male, Metabolome, Mice, Mice, Inbred C57BL.

Abstract

The intestinal microbiota is known to regulate host energy homeostasis and can be influenced by high-calorie diets. However, changes affecting the ecosystem at the functional level are still not well characterized. We measured shifts in cecal bacterial communities in mice fed a carbohydrate or high-fat (HF) diet for 12 weeks at the level of the following: (i) diversity and taxa distribution by high-throughput 16S ribosomal RNA gene sequencing; (ii) bulk and single-cell chemical composition by Fourier-transform infrared- (FT-IR) and Raman micro-spectroscopy and (iii) metaproteome and metabolome via high-resolution mass spectrometry. High-fat diet caused shifts in the diversity of dominant gut bacteria and altered the proportion of Ruminococcaceae (decrease) and Rikenellaceae (increase). FT-IR spectroscopy revealed that the impact of the diet on cecal chemical fingerprints is greater than the impact of microbiota composition. Diet-driven changes in biochemical fingerprints of members of the Bacteroidales and Lachnospiraceae were also observed at the level of single cells, indicating that there were distinct differences in cellular composition of dominant phylotypes under different diets. Metaproteome and metabolome analyses based on the occurrence of 1760 bacterial proteins and 86 annotated metabolites revealed distinct HF diet-specific profiles. Alteration of hormonal and anti-microbial networks, bile acid and bilirubin metabolism and shifts towards amino acid and simple sugars metabolism were observed. We conclude that a HF diet markedly affects the gut bacterial ecosystem at the functional level.

DOI: 10.1038/ismej.2013.155
PubMed: 24030595

Affiliations:

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<author><name sortKey="Mondot, Stanislas" sort="Mondot, Stanislas" uniqKey="Mondot S" first="Stanislas" last="Mondot">Stanislas Mondot</name>
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<author><name sortKey="Clavel, Thomas" sort="Clavel, Thomas" uniqKey="Clavel T" first="Thomas" last="Clavel">Thomas Clavel</name>
<affiliation wicri:level="4"><nlm:affiliation>1] Chair of Nutrition and Immunology, Technische Universität München, Freising-Weihenstephan, Germany [2] Junior Research Group Intestinal Microbiome, ZIEL-Research Center for Nutrition and Food Sciences, Technische Universität München, Freising-Weihenstephan, Germany.</nlm:affiliation>
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<wicri:regionArea>1] Chair of Nutrition and Immunology, Technische Universität München, Freising-Weihenstephan, Germany [2] Junior Research Group Intestinal Microbiome, ZIEL-Research Center for Nutrition and Food Sciences, Technische Universität München, Freising-Weihenstephan</wicri:regionArea>
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<series><title level="j">The ISME journal</title>
<idno type="eISSN">1751-7370</idno>
<imprint><date when="2014" type="published">2014</date>
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<term>Diet, High-Fat</term>
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<front><div type="abstract" xml:lang="en">The intestinal microbiota is known to regulate host energy homeostasis and can be influenced by high-calorie diets. However, changes affecting the ecosystem at the functional level are still not well characterized. We measured shifts in cecal bacterial communities in mice fed a carbohydrate or high-fat (HF) diet for 12 weeks at the level of the following: (i) diversity and taxa distribution by high-throughput 16S ribosomal RNA gene sequencing; (ii) bulk and single-cell chemical composition by Fourier-transform infrared- (FT-IR) and Raman micro-spectroscopy and (iii) metaproteome and metabolome via high-resolution mass spectrometry. High-fat diet caused shifts in the diversity of dominant gut bacteria and altered the proportion of Ruminococcaceae (decrease) and Rikenellaceae (increase). FT-IR spectroscopy revealed that the impact of the diet on cecal chemical fingerprints is greater than the impact of microbiota composition. Diet-driven changes in biochemical fingerprints of members of the Bacteroidales and Lachnospiraceae were also observed at the level of single cells, indicating that there were distinct differences in cellular composition of dominant phylotypes under different diets. Metaproteome and metabolome analyses based on the occurrence of 1760 bacterial proteins and 86 annotated metabolites revealed distinct HF diet-specific profiles. Alteration of hormonal and anti-microbial networks, bile acid and bilirubin metabolism and shifts towards amino acid and simple sugars metabolism were observed. We conclude that a HF diet markedly affects the gut bacterial ecosystem at the functional level.</div>
</front>
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<Day>21</Day>
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<DateCompleted><Year>2014</Year>
<Month>04</Month>
<Day>03</Day>
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<DateRevised><Year>2017</Year>
<Month>09</Month>
<Day>22</Day>
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<JournalIssue CitedMedium="Internet"><Volume>8</Volume>
<Issue>2</Issue>
<PubDate><Year>2014</Year>
<Month>Feb</Month>
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<Title>The ISME journal</Title>
<ISOAbbreviation>ISME J</ISOAbbreviation>
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<ArticleTitle>High-fat diet alters gut microbiota physiology in mice.</ArticleTitle>
<Pagination><MedlinePgn>295-308</MedlinePgn>
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<ELocationID EIdType="doi" ValidYN="Y">10.1038/ismej.2013.155</ELocationID>
<Abstract><AbstractText>The intestinal microbiota is known to regulate host energy homeostasis and can be influenced by high-calorie diets. However, changes affecting the ecosystem at the functional level are still not well characterized. We measured shifts in cecal bacterial communities in mice fed a carbohydrate or high-fat (HF) diet for 12 weeks at the level of the following: (i) diversity and taxa distribution by high-throughput 16S ribosomal RNA gene sequencing; (ii) bulk and single-cell chemical composition by Fourier-transform infrared- (FT-IR) and Raman micro-spectroscopy and (iii) metaproteome and metabolome via high-resolution mass spectrometry. High-fat diet caused shifts in the diversity of dominant gut bacteria and altered the proportion of Ruminococcaceae (decrease) and Rikenellaceae (increase). FT-IR spectroscopy revealed that the impact of the diet on cecal chemical fingerprints is greater than the impact of microbiota composition. Diet-driven changes in biochemical fingerprints of members of the Bacteroidales and Lachnospiraceae were also observed at the level of single cells, indicating that there were distinct differences in cellular composition of dominant phylotypes under different diets. Metaproteome and metabolome analyses based on the occurrence of 1760 bacterial proteins and 86 annotated metabolites revealed distinct HF diet-specific profiles. Alteration of hormonal and anti-microbial networks, bile acid and bilirubin metabolism and shifts towards amino acid and simple sugars metabolism were observed. We conclude that a HF diet markedly affects the gut bacterial ecosystem at the functional level.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Daniel</LastName>
<ForeName>Hannelore</ForeName>
<Initials>H</Initials>
<AffiliationInfo><Affiliation>Molecular Nutrition Unit, ZIEL-Research Center for Nutrition and Food Sciences, Technische Universität München, Freising-Weihenstephan, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Gholami</LastName>
<ForeName>Amin Moghaddas</ForeName>
<Initials>AM</Initials>
<AffiliationInfo><Affiliation>Proteomics and Bioanalytics, Technische Universität München, Freising-Weihenstephan, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Berry</LastName>
<ForeName>David</ForeName>
<Initials>D</Initials>
<Identifier Source="ORCID">000000028997608X</Identifier>
<AffiliationInfo><Affiliation>Division of Microbial Ecology, Department of Microbiology and Ecosystem Science, Faculty of Life Sciences, University of Vienna, Vienna, Austria.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Desmarchelier</LastName>
<ForeName>Charles</ForeName>
<Initials>C</Initials>
<AffiliationInfo><Affiliation>Molecular Nutrition Unit, ZIEL-Research Center for Nutrition and Food Sciences, Technische Universität München, Freising-Weihenstephan, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Hahne</LastName>
<ForeName>Hannes</ForeName>
<Initials>H</Initials>
<AffiliationInfo><Affiliation>Proteomics and Bioanalytics, Technische Universität München, Freising-Weihenstephan, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Loh</LastName>
<ForeName>Gunnar</ForeName>
<Initials>G</Initials>
<AffiliationInfo><Affiliation>Department of Gastrointestinal Microbiology, German Institute of Human Nutrition Potsdam-Rehbrücke (DIfE), Nuthetal, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Mondot</LastName>
<ForeName>Stanislas</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>1] INRA/AgroParisTech, Micalis UMR1319, Jouy-en-Josas, France [2] CSIRO Livestock Industries, Queensland Bioscience Precinct, St Lucia, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Lepage</LastName>
<ForeName>Patricia</ForeName>
<Initials>P</Initials>
<AffiliationInfo><Affiliation>INRA/AgroParisTech, Micalis UMR1319, Jouy-en-Josas, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Rothballer</LastName>
<ForeName>Michael</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Research Unit Plant-Microbe Interactions, Helmholtz Zentrum München, Neuherberg, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Walker</LastName>
<ForeName>Alesia</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>Analytical BioGeoChemistry, Helmoltz Zentrum München, Neuherberg, Germany; Chair of Analytical Food Chemistry, Technische Universität München, Freising-Weihenstephan, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Böhm</LastName>
<ForeName>Christoph</ForeName>
<Initials>C</Initials>
<AffiliationInfo><Affiliation>Division of Microbial Ecology, Department of Microbiology and Ecosystem Science, Faculty of Life Sciences, University of Vienna, Vienna, Austria.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Wenning</LastName>
<ForeName>Mareike</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Microbiology, ZIEL-Research Center for Nutrition and Food Sciences, Technische Universität München, Freising-Weihenstephan, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Wagner</LastName>
<ForeName>Michael</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Division of Microbial Ecology, Department of Microbiology and Ecosystem Science, Faculty of Life Sciences, University of Vienna, Vienna, Austria.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Blaut</LastName>
<ForeName>Michael</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Department of Gastrointestinal Microbiology, German Institute of Human Nutrition Potsdam-Rehbrücke (DIfE), Nuthetal, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Schmitt-Kopplin</LastName>
<ForeName>Philippe</ForeName>
<Initials>P</Initials>
<AffiliationInfo><Affiliation>Analytical BioGeoChemistry, Helmoltz Zentrum München, Neuherberg, Germany; Chair of Analytical Food Chemistry, Technische Universität München, Freising-Weihenstephan, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Kuster</LastName>
<ForeName>Bernhard</ForeName>
<Initials>B</Initials>
<AffiliationInfo><Affiliation>1] Proteomics and Bioanalytics, Technische Universität München, Freising-Weihenstephan, Germany [2] Center for Integrated Protein Science Munich, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Haller</LastName>
<ForeName>Dirk</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Chair of Nutrition and Immunology, Technische Universität München, Freising-Weihenstephan, Germany.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Clavel</LastName>
<ForeName>Thomas</ForeName>
<Initials>T</Initials>
<AffiliationInfo><Affiliation>1] Chair of Nutrition and Immunology, Technische Universität München, Freising-Weihenstephan, Germany [2] Junior Research Group Intestinal Microbiome, ZIEL-Research Center for Nutrition and Food Sciences, Technische Universität München, Freising-Weihenstephan, Germany.</Affiliation>
</AffiliationInfo>
</Author>
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<Language>eng</Language>
<GrantList CompleteYN="Y"><Grant><GrantID>294343</GrantID>
<Agency>European Research Council</Agency>
<Country>International</Country>
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<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
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<Month>09</Month>
<Day>12</Day>
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<MeshHeadingList><MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D001419" MajorTopicYN="N">Bacteria</DescriptorName>
<QualifierName UI="Q000145" MajorTopicYN="N">classification</QualifierName>
<QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName>
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<MeshHeading><DescriptorName UI="D018407" MajorTopicYN="Y">Bacterial Physiological Phenomena</DescriptorName>
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<MeshHeading><DescriptorName UI="D044822" MajorTopicYN="N">Biodiversity</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002432" MajorTopicYN="N">Cecum</DescriptorName>
<QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D059305" MajorTopicYN="Y">Diet, High-Fat</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D041981" MajorTopicYN="N">Gastrointestinal Tract</DescriptorName>
<QualifierName UI="Q000382" MajorTopicYN="Y">microbiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D055442" MajorTopicYN="N">Metabolome</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D051379" MajorTopicYN="N">Mice</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008810" MajorTopicYN="N">Mice, Inbred C57BL</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D064307" MajorTopicYN="N">Microbiota</DescriptorName>
<QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D009765" MajorTopicYN="N">Obesity</DescriptorName>
<QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D020543" MajorTopicYN="N">Proteome</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012336" MajorTopicYN="N">RNA, Ribosomal, 16S</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName>
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<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2013</Year>
<Month>06</Month>
<Day>13</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2013</Year>
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<affiliations><list><country><li>Allemagne</li>
<li>Australie</li>
<li>Autriche</li>
<li>France</li>
</country>
<region><li>Bavière</li>
<li>District de Haute-Bavière</li>
<li>Vienne (Autriche)</li>
</region>
<settlement><li>Munich</li>
<li>Vienne (Autriche)</li>
</settlement>
<orgName><li>Université technique de Munich</li>
</orgName>
</list>
<tree><country name="Allemagne"><region name="Bavière"><name sortKey="Daniel, Hannelore" sort="Daniel, Hannelore" uniqKey="Daniel H" first="Hannelore" last="Daniel">Hannelore Daniel</name>
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<name sortKey="Blaut, Michael" sort="Blaut, Michael" uniqKey="Blaut M" first="Michael" last="Blaut">Michael Blaut</name>
<name sortKey="Clavel, Thomas" sort="Clavel, Thomas" uniqKey="Clavel T" first="Thomas" last="Clavel">Thomas Clavel</name>
<name sortKey="Desmarchelier, Charles" sort="Desmarchelier, Charles" uniqKey="Desmarchelier C" first="Charles" last="Desmarchelier">Charles Desmarchelier</name>
<name sortKey="Gholami, Amin Moghaddas" sort="Gholami, Amin Moghaddas" uniqKey="Gholami A" first="Amin Moghaddas" last="Gholami">Amin Moghaddas Gholami</name>
<name sortKey="Hahne, Hannes" sort="Hahne, Hannes" uniqKey="Hahne H" first="Hannes" last="Hahne">Hannes Hahne</name>
<name sortKey="Haller, Dirk" sort="Haller, Dirk" uniqKey="Haller D" first="Dirk" last="Haller">Dirk Haller</name>
<name sortKey="Kuster, Bernhard" sort="Kuster, Bernhard" uniqKey="Kuster B" first="Bernhard" last="Kuster">Bernhard Kuster</name>
<name sortKey="Loh, Gunnar" sort="Loh, Gunnar" uniqKey="Loh G" first="Gunnar" last="Loh">Gunnar Loh</name>
<name sortKey="Rothballer, Michael" sort="Rothballer, Michael" uniqKey="Rothballer M" first="Michael" last="Rothballer">Michael Rothballer</name>
<name sortKey="Schmitt Kopplin, Philippe" sort="Schmitt Kopplin, Philippe" uniqKey="Schmitt Kopplin P" first="Philippe" last="Schmitt-Kopplin">Philippe Schmitt-Kopplin</name>
<name sortKey="Walker, Alesia" sort="Walker, Alesia" uniqKey="Walker A" first="Alesia" last="Walker">Alesia Walker</name>
<name sortKey="Wenning, Mareike" sort="Wenning, Mareike" uniqKey="Wenning M" first="Mareike" last="Wenning">Mareike Wenning</name>
</country>
<country name="Autriche"><region name="Vienne (Autriche)"><name sortKey="Berry, David" sort="Berry, David" uniqKey="Berry D" first="David" last="Berry">David Berry</name>
</region>
<name sortKey="Bohm, Christoph" sort="Bohm, Christoph" uniqKey="Bohm C" first="Christoph" last="Böhm">Christoph Böhm</name>
<name sortKey="Wagner, Michael" sort="Wagner, Michael" uniqKey="Wagner M" first="Michael" last="Wagner">Michael Wagner</name>
</country>
<country name="Australie"><noRegion><name sortKey="Mondot, Stanislas" sort="Mondot, Stanislas" uniqKey="Mondot S" first="Stanislas" last="Mondot">Stanislas Mondot</name>
</noRegion>
</country>
<country name="France"><noRegion><name sortKey="Lepage, Patricia" sort="Lepage, Patricia" uniqKey="Lepage P" first="Patricia" last="Lepage">Patricia Lepage</name>
</noRegion>
</country>
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   |texte=   High-fat diet alters gut microbiota physiology in mice.
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	Serveur d'exploration sur les relations entre la France et l'Australie
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High-fat diet alters gut microbiota physiology in mice.

High-fat diet alters gut microbiota physiology in mice.

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