Cited by 3,788Gut microbiota and healthAdipokines, Inflammation, and Metabolic DiseasesOral microbiology and periodontitis research

Gut Microbiota from Twins Discordant for Obesity Modulate Metabolism in Mice

Open access
Ridaura, Vanessa K., Faith, Jeremiah J., Rey, Federico E., Cheng, Jiye, Duncan, Alexis E., Kau, Andrew L., Griffin, Nicholas W., Lombard, Vincent +17 more·2013·Science

Abstract

Transforming Fat to Thin: How much does the microbiota influence the host's phenotype? Ridaura et al. ( 1241214 ; see the Perspective by Walker and Parkhill ) obtained uncultured fecal microbiota from twin pairs discordant for body mass and transplanted them into adult germ-free mice. It was discovered that adiposity is transmissible from human to mouse and that it was associated with changes in serum levels of branched-chain amino acids. Moreover, obese-phenotype mice were invaded by members of the Bacteroidales from the lean mice, but, happily, the lean animals resisted invasion by the obese microbiota.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1126/science.1241214

Cites

76 of 76 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The energy extraction difference is thought to be driven by an expansion in pro-inflammatory species of bacteria, such as E. coli, and a depletion of anti-inflammatory bacteria such as Faecalibacterium prausnitzii.

    “This is thought to be driven by an expansion in pro-inflammatory species of bacteria, such as E. coli, and a depletion of anti-inflammatory bacteria such as Faecalibacterium prausnitzii [133,134].”

    From Polycystic Ovary Syndrome: An Evolutionary Adaptation to Lifestyle and the Environment (2022) · cites this paper as [133]

    The sections on functional differences between transplanted communities and changes in the cecal metabolome discuss bacterial composition, metabolites, and host energy balance. Searches for E. coli, Faecalibacterium prausnitzii, and the proposed pro- versus anti-inflammatory mechanism found no passage in our copy that addresses the claimed explanation for an energy-extraction difference. (LLM, conf=0.72)

    Experimental — accuracy not yet measured
  • Athletes have an enriched profile of SCFAs, previously associated with numerous health benefits and a lean phenotype.

    “Furthermore, athletes have an enriched profile of SCFAs, previously associated with numerous health benefits and a lean phenotype.[33][34][35]”
  • The same clusters are observed when correlating with individual taxa, in support of previously observed links between SCFAs and numerous metabolic benefits and a lean phenotype.

    “The same clusters are observed when correlating with individual taxa, in support of previously observed links between SCFAs and numerous metabolic benefits and a lean phenotype.[33][34][35]”
  • Studies with gnotobiotic mice colonized with the microbiota of lean or obese twins have shown that this phenotype is transmissible.

    “Studies with gnotobiotic mice colonized with the microbiota of lean or obese twins have also shown that this phenotype is also transmissible [7].”
  • The same weight-increasing effect is observed when microbiota from obese or lean humans is transferred to germ-free mice.

    “This observation also holds true when the microbiota from obese or lean humans is transferred to germ-free mice (Ridaura et al., 2013; Tremaroli et al., 2015).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Ridaura, V. K., Faith, J. J., Rey, F. E., Cheng, J., Duncan, A. E., Kau, A. L., Griffin, N. W., Lombard, V., Henrissat, B., Bain, J. R., Muehlbauer, M. J., Ilkayeva, O., Semenkovich, C. F., Funai, K., Hayashi, D. K., Lyle, B. J., Martini, M. C., Ursell, L. K., Clemente, J. C., Van Treuren, W., Walters, W. A., Knight, R., Newgard, C. B., Heath, A. C., & Gordon, J. I.
Affiliations
  • Washington University in St. Louis (US)
  • Centre National de la Recherche Scientifique (FR)
  • University of Copenhagen (DK)
  • Duke Medical Center (US)
  • Mondelēz International (United States) (US)
  • Kraft Foods Group, Glenview, IL 60025, USA.
  • University of Colorado Boulder (US)
  • Department of Chemistry and Biochemistry, University of Colorado, Boulder, CO 80309, USA.
  • Howard Hughes Medical Institute (US)
Corresponding author
Gordon, Jeffrey I.
Venue
Science
Published
2013-09-06
Volume
341
Issue
6150
Pages
1241214-1241214
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1993399595
Cited by
3,788
References
76
Citations by year
2026: 169 · 2025: 209 · 2024: 260 · 2023: 289 · 2022: 329 · 2021: 422 · 2020: 387 · 2019: 322 · 2018: 357 · 2017: 306 · 2016: 267 · 2015: 264 · 2014: 174 · 2013: 29 · 2012: 1
FWCI
109.67
Type
journal article
Language
en
Open access
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • Howard Hughes Medical Institute
  • Crohn's and Colitis Foundation
  • National Institute on Alcohol Abuse and Alcoholism (K05AA017688)
  • National Institute on Aging (P30AG028716)
  • National Institute of General Medical Sciences (T32GM008759, T32GM142607)
  • National Institute of Diabetes and Digestive and Kidney Diseases (K01DK095774, P01DK058398, DK078669, DK-58398, P01DK078669, R01DK076729, DK 70977, F32DK091044, R01DK070977, P30DK056341, P30DK020579)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
  • Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
Keywords
gut microbiota, obesity, twin discordance, fecal microbiota transplantation, germ-free mice, body composition, fat mass, Bacteroidetes, diet-microbiome interactions, saturated fat, fruit and vegetable intake, metabolic phenotypes
MeSH terms
Adult, Animals, Cecum, Feces, Female, Germ-Free Life, Humans, Mice, Inbred C57BL, Mice, Obese, Obesity, Thinness, Twins, Weight Gain, Diet, Fat-Restricted, Bacteroidetes, Gastrointestinal Tract, Adiposity, Mice, Metagenome, Metabolome, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review