Evidence map›Paper›PMID 24030595›Full record

ArticleThe ISME journal2014

High-fat diet alters gut microbiota physiology in mice.

Hannelore Daniel, Amin Moghaddas Gholami, David Berry, Charles Desmarchelier, Hannes Hahne, Gunnar Loh, Stanislas Mondot, Patricia Lepage, Michael Rothballer, Alesia Walker and 8 more

Open access · greenAbstract read
In one paragraph

Article in The ISME journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 347 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
347citing papers in PubMed, 4 pooled it
14.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

347 citing papers in PubMed, 4 syntheses or guidelines pooled it, 686 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
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287 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 7 institutions in 4 countries.

Hannelore DanielMolecular Nutrition Unit, ZIEL-Research Center for Nutrition and Food Sciences, Technische Universität München, Freising-Weihenstephan, Germany.
Amin Moghaddas GholamiProteomics and Bioanalytics, Technische Universität München, Freising-Weihenstephan, Germany.
David BerryDivision of Microbial Ecology, Department of Microbiology and Ecosystem Science, Faculty of Life Sciences, University of Vienna, Vienna, Austria.ORCID 000000028997608X
Charles DesmarchelierMolecular Nutrition Unit, ZIEL-Research Center for Nutrition and Food Sciences, Technische Universität München, Freising-Weihenstephan, Germany.
Hannes HahneProteomics and Bioanalytics, Technische Universität München, Freising-Weihenstephan, Germany.
Gunnar LohDepartment of Gastrointestinal Microbiology, German Institute of Human Nutrition Potsdam-Rehbrücke (DIfE), Nuthetal, Germany.
Stanislas Mondot1] INRA/AgroParisTech, Micalis UMR1319, Jouy-en-Josas, France [2] CSIRO Livestock Industries, Queensland Bioscience Precinct, St Lucia, Australia.
Patricia LepageINRA/AgroParisTech, Micalis UMR1319, Jouy-en-Josas, France.
Michael RothballerResearch Unit Plant-Microbe Interactions, Helmholtz Zentrum München, Neuherberg, Germany.
Alesia WalkerAnalytical BioGeoChemistry, Helmoltz Zentrum München, Neuherberg, Germany; Chair of Analytical Food Chemistry, Technische Universität München, Freising-Weihenstephan, Germany.
Christoph BöhmDivision of Microbial Ecology, Department of Microbiology and Ecosystem Science, Faculty of Life Sciences, University of Vienna, Vienna, Austria.
Mareike WenningMicrobiology, ZIEL-Research Center for Nutrition and Food Sciences, Technische Universität München, Freising-Weihenstephan, Germany.
Michael WagnerDivision of Microbial Ecology, Department of Microbiology and Ecosystem Science, Faculty of Life Sciences, University of Vienna, Vienna, Austria.
Michael BlautDepartment of Gastrointestinal Microbiology, German Institute of Human Nutrition Potsdam-Rehbrücke (DIfE), Nuthetal, Germany.
Philippe Schmitt-KopplinAnalytical BioGeoChemistry, Helmoltz Zentrum München, Neuherberg, Germany; Chair of Analytical Food Chemistry, Technische Universität München, Freising-Weihenstephan, Germany.
Bernhard Kuster1] Proteomics and Bioanalytics, Technische Universität München, Freising-Weihenstephan, Germany [2] Center for Integrated Protein Science Munich, Germany.
Dirk HallerChair of Nutrition and Immunology, Technische Universität München, Freising-Weihenstephan, Germany.
Thomas Clavel1] 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.
Technical University of Munich · DEHelmholtz Zentrum München · DEUniversity of Vienna · ATGerman Institute of Human Nutrition · DEAgroParisTech · FRCenter for Integrated Protein Science Munich · DECommonwealth Scientific and Industrial Research Organisation · AU

Funding

European Research Council 294343
6 · The paper itself

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.

Indexed as

Bacterial Physiological PhenomenaDiet, High-FatAnimalsBacteriaBiodiversityCecumGastrointestinal TractMaleMetabolomeMiceMice, Inbred C57BLMicrobiotaObesityProteomeRNA, Ribosomal, 16SProteomeRNA, Ribosomal, 16S

Identifiers

PMID24030595
PMCPMC3906816
OpenAlexW2077072558

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.