Cited by 1,173Gut microbiota and healthBariatric Surgery and OutcomesOral microbiology and periodontitis research

Differential Adaptation of Human Gut Microbiota to Bariatric Surgery–Induced Weight Loss

Open access
Furet, Jean-Pierre, Kong, Ling-Chun, Tap, Julien, Poitou, Christine, Basdevant, Arnaud, Bouillot, Jean-Luc, Mariat, Denis, Corthier, Gérard +4 more·2010·Diabetes

Abstract

OBJECTIVE: Obesity alters gut microbiota ecology and associates with low-grade inflammation in humans. Roux-en-Y gastric bypass (RYGB) surgery is one of the most efficient procedures for the treatment of morbid obesity resulting in drastic weight loss and improvement of metabolic and inflammatory status. We analyzed the impact of RYGB on the modifications of gut microbiota and examined links with adaptations associated with this procedure. RESEARCH DESIGN AND METHODS: Gut microbiota was profiled from fecal samples by real-time quantitative PCR in 13 lean control subjects and in 30 obese individuals (with seven type 2 diabetics) explored before (M0), 3 months (M3), and 6 months (M6) after RYGB. RESULTS: Four major findings are highlighted: 1) Bacteroides/Prevotella group was lower in obese subjects than in control subjects at M0 and increased at M3. It was negatively correlated with corpulence, but the correlation depended highly on caloric intake; 2) Escherichia coli species increased at M3 and inversely correlated with fat mass and leptin levels independently of changes in food intake; 3) lactic acid bacteria including Lactobacillus/Leuconostoc/Pediococcus group and Bifidobacterium genus decreased at M3; and 4) Faecalibacterium prausnitzii species was lower in subjects with diabetes and associated negatively with inflammatory markers at M0 and throughout the follow-up after surgery independently of changes in food intake. CONCLUSIONS: These results suggest that components of the dominant gut microbiota rapidly adapt in a starvation-like situation induced by RYGB while the F. prausnitzii species is directly linked to the reduction in low-grade inflammation state in obesity and diabetes independently of calorie intake.

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 · 10.2337/db10-0253

Cites

50 of 50 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 results are in agreement with previous findings showing an expansion of Proteobacteria shortly after RYGB in humans and mice.

    “Moreover, our results are in agreement with previous findings showing an expansion of Proteobacteria shortly after RYGB, both in humans (Furet et al., 2010; Graessler et al., 2013; Kong et al., 2013; Zhang et al., 2009) and mice (Liou et al., 2013).”
  • The gut microbiota may mediate some of the beneficial effects of bariatric surgery.

    “Recent work has also indicated that the gut microbiota may mediate some of the beneficial effects of bariatric surgery, and changes in the composition and diversity of the gut microbiota have been observed in the short term after RYGB in humans (Furet et al., 2010; Graessler et al., 2013; Kong et al., 2013; Zhang et al., 2009), as well as after vertical sleeve gastrectomy and RYGB in mice (Liou et”
  • Changes in the composition and diversity of the gut microbiota have been observed in the short term after RYGB in humans.

    “Recent work has also indicated that the gut microbiota may mediate some of the beneficial effects of bariatric surgery, and changes in the composition and diversity of the gut microbiota have been observed in the short term after RYGB in humans (Furet et al., 2010; Graessler et al., 2013; Kong et al., 2013; Zhang et al., 2009), as well as after vertical sleeve gastrectomy and RYGB in mice (Liou et”
  • The reduced fat mass gain in GF mice transplanted with RYGB and VBG microbiota is in agreement with the paper's results on the composition of the gut microbiome and with a short-term human study showing an inverse correlation between E. coli abundance and fat mass after RYGB.

    “The reduced fat mass gain in GF mice transplanted with RYGB and VBG microbiota is in agreement with our results on the composition of the gut microbiome and with a short-term human study showing an inverse correlation between E. coli abundance and fat mass after RYGB (Furet et al., 2010).”
  • The Bacteroides/Prevotella ratio was negatively correlated with body weight, BMI, and body fat mass, but this correlation was highly dependent on total calorie intake.

    “While this ratio was negatively correlated with body weight, BMI, and body fat mass, the correlation was highly dependent on total calorie intake.”

    From The athletic gut microbiota (2020) · cites this paper as [163]

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

2 of the 52 references couldn’t be matched to a known paper.

Research works printed but not linked: 1

  1. [18]Chessel D Dufour AB Dray S: Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences. Version 1.4–14. 2 10 2010; 1: 4– 11

Cited by

Sorted by citations

Authors
Furet, J.-P., Kong, L.-C., Tap, J., Poitou, C., Basdevant, A., Bouillot, J.-L., Mariat, D., Corthier, G., Doré, J., Henegar, C., Rizkalla, S., & Clément, K.
Affiliations
  • Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
  • Assistance Publique-Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, Département de Nutrition et d'Endocrinologie, Paris, France, and the Centre de Recherche Nutrition Humaine, Ile de France, Paris, France;
  • Inserm (FR)
  • Assistance Publique – Hôpitaux de Paris (FR)
  • French National Institute for Agricultural Research, U910, Unité d'Ecologie et de Physiologie du Système Digestif, Jouy-en-Josas, France;
Corresponding author
Clément, Karine
Venue
Diabetes
Published
2010-09-28
Volume
59
Issue
12
Pages
3049-3057
ISSN
  • 0012-1797 (ISSN-L)
  • 1939-327X
OpenAlex
W2154660883
Cited by
1,173
References
52
Citations by year
2026: 21 · 2025: 40 · 2024: 50 · 2023: 69 · 2022: 81 · 2021: 92 · 2020: 121 · 2019: 98 · 2018: 78 · 2017: 94 · 2016: 96 · 2015: 98 · 2014: 84 · 2013: 76 · 2012: 42
FWCI
19.69
Type
journal article
Language
en
Open access
Locations
  • Diabetes (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • HAL (submittedVersion)
Funders
  • American Diabetes Association
  • Sanofi
  • Danone
  • Agence Nationale de la Recherche
  • Institut National de la Recherche Agronomique
  • NIH Clinical Center
  • CHIST-ERA
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Medicine › Surgery › Bariatric Surgery and Outcomes
  • Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
Keywords
gut microbiota, bariatric surgery, Roux-en-Y gastric bypass, morbid obesity, weight loss, Faecalibacterium prausnitzii, Bacteroides-Prevotella, Escherichia coli, lactic acid bacteria, Bifidobacterium, low-grade inflammation, type 2 diabetes, leptin, caloric restriction, starvation adaptation
MeSH terms
Adaptation, Physiological, Bacteroides, Bifidobacterium, Blood Glucose, Clostridium, Escherichia coli, Feces, Female, Humans, Inflammation, Lactobacillus, Leuconostoc, Male, Obesity, Pediococcus, Starvation, Thinness, Weight Loss, Polymerase Chain Reaction, DNA Primers, Bariatric Surgery

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