Evidence map›Paper›PMID 25992554›Full record

ArticlePloS one2015

Changes in gut microbiota in rats fed a high fat diet correlate with obesity-associated metabolic parameters.

Virginie Lecomte, Nadeem O Kaakoush, Christopher A Maloney, Mukesh Raipuria, Karina D Huinao, Hazel M Mitchell, Margaret J Morris

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 202 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
202citing papers in PubMed, 1 pooled it
18.1field-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

202 citing papers in PubMed, 1 synthesis or guideline pooled it, 416 citations in OpenAlex.

  1. Pooled it
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  12. Hologenomics Reveals Specialized Dietary Adaptations in the Mengla Snail-Eating Snake.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  13. Role of gut microbiota and its functional products in prenatal alcohol-induced anxiety-like behavior.Progress in neuro-psychopharmacology & biological psychiatry · 2025
    Article
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142 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

7 authors at 1 institution in 1 country.

Virginie LecomteSchool of Medical Sciences, UNSW Australia, Sydney, New South Wales, Australia.
Nadeem O KaakoushSchool of Biotechnology and Biomolecular Sciences, UNSW Australia, Sydney, New South Wales, Australia.
Christopher A MaloneySchool of Medical Sciences, UNSW Australia, Sydney, New South Wales, Australia.
Mukesh RaipuriaSchool of Medical Sciences, UNSW Australia, Sydney, New South Wales, Australia.
Karina D HuinaoSchool of Biotechnology and Biomolecular Sciences, UNSW Australia, Sydney, New South Wales, Australia.
Hazel M MitchellSchool of Biotechnology and Biomolecular Sciences, UNSW Australia, Sydney, New South Wales, Australia.
Margaret J MorrisSchool of Medical Sciences, UNSW Australia, Sydney, New South Wales, Australia.
UNSW Sydney · AU

Funding

Medical Research Council
6 · The paper itself

Abstract

The gut microbiota is emerging as a new factor in the development of obesity. Many studies have described changes in microbiota composition in response to obesity and high fat diet (HFD) at the phylum level. In this study we used 16s RNA high throughput sequencing on faecal samples from rats chronically fed HFD or control chow (n = 10 per group, 16 weeks) to investigate changes in gut microbiota composition at the species level. 53.17% dissimilarity between groups was observed at the species level. Lactobacillus intestinalis dominated the microbiota in rats under the chow diet. However this species was considerably less abundant in rats fed HFD (P<0.0001), this being compensated by an increase in abundance of propionate/acetate producing species. To further understand the influence of these species on the development of the obese phenotype, we correlated their abundance with metabolic parameters associated with obesity. Of the taxa contributing the most to dissimilarity between groups, 10 presented significant correlations with at least one of the tested parameters, three of them correlated positively with all metabolic parameters: Phascolarctobacterium, Proteus mirabilis and Veillonellaceae, all propionate/acetate producers. Lactobacillus intestinalis was the only species whose abundance was negatively correlated with change in body weight and fat mass. This species decreased drastically in response to HFD, favouring propionate/acetate producing bacterial species whose abundance was strongly correlated with adiposity and deterioration of metabolic factors. Our observations suggest that these species may play a key role in the development of obesity in response to a HFD.

Indexed as

Diet, High-FatEnergy MetabolismGastrointestinal MicrobiomeAnimalsBiodiversityBiomarkersBody WeightDietGlucoseInsulinMaleMetagenomeObesityRatsBiomarkersGlucoseInsulin

Identifiers

PMID25992554
PMCPMC4436290
OpenAlexW1579591484

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.