Evidence map›Paper›PMID 23985875›Full record

Trial reportNature2013

Dietary intervention impact on gut microbial gene richness.

Aurélie Cotillard, Sean P Kennedy, Ling Chun Kong, Edi Prifti, Nicolas Pons, Emmanuelle Le Chatelier, Mathieu Almeida, Benoit Quinquis, Florence Levenez, Nathalie Galleron and 9 more

Erratum issuedAbstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in Nature, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 894 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
894citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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

894 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Trial
  8. Trial
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  10. Significance of GSH and HRedox report : communications in free radical research · 2026
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Gut microbial alterations and functional shifts in patients with hypertriglyceridemia: insights from a northwestern Chinese metagenomic study.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
    Article
  16. Article
  17. Review
  18. [Butyrate alleviatesNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026
    Article
  19. Review
  20. Article

834 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Aurélie CotillardInstitut National de la Santé et de la Recherche Médicale, U872, Nutriomique, Équipe 7, Centre de Recherches des Cordeliers, Paris 75006, France.
Sean P Kennedy
Ling Chun Kong
Edi Prifti
Nicolas Pons
Emmanuelle Le Chatelier
Mathieu Almeida
Benoit Quinquis
Florence Levenez
Nathalie Galleron
Sophie Gougis
Salwa Rizkalla
Jean-Michel Batto
Pierre Renault
ANR MicroObes consortium
Joel Doré
Jean-Daniel Zucker
Karine Clément
Stanislav Dusko Ehrlich

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complex gene-environment interactions are considered important in the development of obesity. The composition of the gut microbiota can determine the efficacy of energy harvest from food and changes in dietary composition have been associated with changes in the composition of gut microbial populations. The capacity to explore microbiota composition was markedly improved by the development of metagenomic approaches, which have already allowed production of the first human gut microbial gene catalogue and stratifying individuals by their gut genomic profile into different enterotypes, but the analyses were carried out mainly in non-intervention settings. To investigate the temporal relationships between food intake, gut microbiota and metabolic and inflammatory phenotypes, we conducted diet-induced weight-loss and weight-stabilization interventions in a study sample of 38 obese and 11 overweight individuals. Here we report that individuals with reduced microbial gene richness (40%) present more pronounced dys-metabolism and low-grade inflammation, as observed concomitantly in the accompanying paper. Dietary intervention improves low gene richness and clinical phenotypes, but seems to be less efficient for inflammation variables in individuals with lower gene richness. Low gene richness may therefore have predictive potential for the efficacy of intervention.

Indexed as

DietBasal MetabolismBody WeightDietary FiberDietary ProteinsDiet, Carbohydrate-RestrictedEatingEnergy IntakeFemaleFruitGastrointestinal TractGene-Environment InteractionGenes, BacterialHumansInflammationMaleDietary FiberDietary Proteins

Identifiers

PMID23985875

What OpenQuestion holds

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Registered trials

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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.