CoChat
Sign Up
Cited by 825Microbial Metabolites in Food BiotechnologyGut microbiota and healthProbiotics and Fermented Foods

Insight into the prebiotic concept: lessons from an exploratory, double blind intervention study with inulin-type fructans in obese women

Open access
Dewulf, Evelyne M, Cani, Patrice D, Claus, Sandrine P, Fuentes, Susana, Puylaert, Philippe GB, Neyrinck, Audrey M, Bindels, Laure B, de Vos, Willem M +3 more·2013·Gut
DOI 10.1136/gutjnl-2012-303304PMC PMC3711491
Open this paper in CoChat — free account

Abstract

Objective: To highlight the contribution of the gut microbiota to the modulation of host metabolism by dietary inulin-type fructans (ITF prebiotics) in obese women. Methods: A double blind, placebo controlled, intervention study was performed with 30 obese women treated with ITF prebiotics (inulin/oligofructose 50/50 mix; n=15) or placebo (maltodextrin; n=15) for 3 months (16 g/day). Blood, faeces and urine sampling, oral glucose tolerance test, homeostasis model assessment and impedancemetry were performed before and after treatment. The gut microbial composition in faeces was analysed by phylogenetic microarray and qPCR analysis of 16S rDNA. Plasma and urine metabolic profiles were analysed by 1 H-NMR spectroscopy. Results: Treatment with ITF prebiotics, but not the placebo, led to an increase in Bifidobacterium and Faecalibacterium prausnitzii ; both bacteria negatively correlated with serum lipopolysaccharide levels. ITF prebiotics also decreased Bacteroides intestinalis , Bacteroides vulgatus and Propionibacterium , an effect associated with a slight decrease in fat mass and with plasma lactate and phosphatidylcholine levels. No clear treatment clustering could be detected for gut microbial analysis or plasma and urine metabolomic profile analyses. However, ITF prebiotics led to subtle changes in the gut microbiota that may importantly impact on several key metabolites implicated in obesity and/or diabetes. Conclusions: ITF prebiotics selectively changed the gut microbiota composition in obese women, leading to modest changes in host metabolism, as suggested by the correlation between some bacterial species and metabolic endotoxaemia or metabolomic signatures.

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 · 10.1136/gutjnl-2012-303304

Cites

14 of 14 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?

  • FOS intervention in obese women enhanced abundance of Bifidobacterium and Faecalibacterium prausnitzii.

    “A double-blind intervention study in obese women with FOS showed an enhanced abundance in Bifidobacterium and Faecalibacterium prausnitzii (Dewulf et al., 2013).”

    From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Dewulf et al., 2013

    The Discussion reports significant increases in Bifidobacterium and Faecalibacterium prausnitzii in obese women. However, the Methods (Dietary intervention; page not provided) specify an inulin/oligofructose 50/50 mix, rather than FOS alone, so the citing sentence does not precisely describe the intervention. (LLM, conf=0.83)

    Experimental — accuracy not yet measured

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

Research works printed but not linked: 51

  1. [1]Hotamisligil GS Inflammation and metabolic disorders. Nature 2006; 444: 860– 7 17167474
  2. [2]Delzenne NM Cani PD Interaction between obesity and the gut microbiota: relevance in nutrition. Annu Rev Nutr 2011; 31: 15– 31 21568707
  3. [3]Delzenne NM Neyrinck AM Cani PD Modulation of the gut microbiota by nutrients with prebiotic properties: consequences for host health in the context of obesity and metabolic syndrome. Microb Cell Fact 2011; 10(Suppl 1): S10 21995448 PMC3231917
  4. [4]Turnbaugh PJ Ley RE Mahowald MA An obesity-associated gut microbiome with increased capacity for energy harvest. Nature 2006; 444: 1027– 31 17183312
  5. [6]Claus SP Ellero SL Berger B Colonization-induced host-gut microbial metabolic interaction. MBio 2011; 2: e00271– 10 21363910 PMC3045766
  6. [7]Cani PD Amar J Iglesias MA Metabolic endotoxemia initiates obesity and insulin resistance. Diabetes 2007; 56: 1761– 2 17456850
  7. [9]Cani PD Possemiers S Van de Wiele T Changes in gut microbiota control inflammation in obese mice through a mechanism involving GLP-2-driven improvement of gut permeability. Gut 2009; 58: 1091– 103 19240062 PMC2702831
  8. [10]Muccioli GG Naslain D Backhed F The endocannabinoid system links gut microbiota to adipogenesis. Mol Syst Biol 2010; 6: 392 20664638 PMC2925525
  9. [11]Cani PD Delzenne NM Interplay between obesity and associated metabolic disorders: new insights into the gut microbiota. Curr Opin Pharmacol 2009; 9: 737– 43 19628432
  10. [12]Nadal I Santacruz A Marcos A Shifts in clostridia, bacteroides and immunoglobulin-coating fecal bacteria associated with weight loss in obese adolescents. Int J Obes (Lond) 2009; 33: 758– 67 19050675
  11. [13]Ley RE Backhed F Turnbaugh P Obesity alters gut microbial ecology. Proc Natl Acad Sci USA 2005; 102: 11070– 5 16033867 PMC1176910
  12. [14]Turnbaugh PJ Hamady M Yatsunenko T A core gut microbiome in obese and lean twins. Nature 2009; 457: 480– 4 19043404 PMC2677729
  13. [16]Duncan SH Lobley GE Holtrop G Human colonic microbiota associated with diet, obesity and weight loss. Int J Obes (Lond) 2008; 32: 1720– 4 18779823
  14. [17]Wu X Ma C Han L Molecular characterisation of the faecal microbiota in patients with type II diabetes. Curr Microbiol 2010; 61: 69– 78 20087741
  15. [18]Gibson GR Roberfroid MB Dietary modulation of the human colonic microbiota: introducing the concept of prebiotics. J Nutr 1995; 125: 1401– 12 7782892
  16. [19]Roberfroid M Gibson GR Hoyles L Prebiotic effects: metabolic and health benefits. Br J Nutr 2010; 104(Suppl 2): S1– 63 20920376
  17. [20]Delzenne NM Neyrinck AM Backhed F Targeting gut microbiota in obesity: effects of prebiotics and probiotics. Nat Rev Endocrinol 2011; 7: 639– 46 21826100
  18. [21]Cani PD Neyrinck AM Maton N Oligofructose promotes satiety in rats fed a high-fat diet: involvement of glucagon-like Peptide-1. Obes Res 2005; 13: 1000– 7 15976142
  19. [22]Cani PD Knauf C Iglesias MA Improvement of glucose tolerance and hepatic insulin sensitivity by oligofructose requires a functional glucagon-like peptide 1 receptor. Diabetes 2006; 55: 1484– 90 16644709
  20. [23]Cani PD Neyrinck AM Fava F Selective increases of bifidobacteria in gut microflora improve high-fat-diet-induced diabetes in mice through a mechanism associated with endotoxaemia. Diabetologia 2007; 50: 2374– 83 17823788
  21. [24]Meyer D Stasse-Wolthuis M The bifidogenic effect of inulin and oligofructose and its consequences for gut health. Eur J Clin Nutr 2009; 63: 1277– 89 19690573
  22. [25]Everard A Lazarevic V Derrien M Responses of gut microbiota and glucose and lipid metabolism to prebiotics in genetic obese and diet-induced leptin-resistant mice. Diabetes 2011; 60: 2775– 86 21933985 PMC3198091
  23. [26]Cani PD Joly E Horsmans Y Oligofructose promotes satiety in healthy human: a pilot study. Eur J Clin Nutr 2006; 60: 567– 72 16340949
  24. [27]Verhoef SP Meyer D Westerterp KR Effects of oligofructose on appetite profile, glucagon-like peptide 1 and peptide YY3-36 concentrations and energy intake. Br J Nutr 2011; 106: 1757– 62 21679485
  25. [28]Cani PD Lecourt E Dewulf EM Gut microbiota fermentation of prebiotics increases satietogenic and incretin gut peptide production with consequences for appetite sensation and glucose response after a meal. Am J Clin Nutr 2009; 90: 1236– 43 19776140
  26. [29]Parnell JA Reimer RA Weight loss during oligofructose supplementation is associated with decreased ghrelin and increased peptide YY in overweight and obese adults. Am J Clin Nutr 2009; 89: 1751– 9 19386741 PMC3827013
  27. [31]Ramirez-Farias C Slezak K Fuller Z Effect of inulin on the human gut microbiota: stimulation of Bifidobacterium adolescentis and Faecalibacterium prausnitzii. Br J Nutr 2009; 101: 541– 50 18590586
  28. [32]Salonen A Nikkila J Jalanka-Tuovinen J Comparative analysis of fecal DNA extraction methods with phylogenetic microarray: effective recovery of bacterial and archaeal DNA using mechanical cell lysis. J Microbiol Methods 2010; 81: 127– 34 20171997
  29. [33]Zoetendal EG Rajilic-Stojanovic M de Vos WM High-throughput diversity and functionality analysis of the gastrointestinal tract microbiota. Gut 2008; 57: 1605– 15 18941009
  30. [34]Rajilic-Stojanovic M Heilig HG Molenaar D Development and application of the human intestinal tract chip, a phylogenetic microarray: analysis of universally conserved phylotypes in the abundant microbiota of young and elderly adults. Environ Microbiol 2009; 11: 1736– 51 19508560 PMC2784037
  31. [36]Everard A Geurts L Van RM Tetrahydro iso-alpha acids from hops improve glucose homeostasis and reduce body weight gain and metabolic endotoxemia in high-fat diet-fed mice. PLoS One 2012; 7: e33858 22470484 PMC3314685
  32. [38]Leps J Smilauer P Multivariate analysis of ecological data using CANOCO. Cambridge: Cambridge University Press, 2003
  33. [40]Wu GD Chen J Hoffmann C Linking long-term dietary patterns with gut microbial enterotypes. Science 2011; 334: 105– 8 21885731 PMC3368382
  34. [41]Kalliomaki M Collado MC Salminen S Early differences in fecal microbiota composition in children may predict overweight. Am J Clin Nutr 2008; 87: 534– 8 18326589
  35. [42]Bouhnik Y Raskine L Champion K Prolonged administration of low-dose inulin stimulates the growth of bifidobacteria in humans. Nutr Res 2007; 27: 187– 93
  36. [43]Kolida S Meyer D Gibson GR A double-blind placebo-controlled study to establish the bifidogenic dose of inulin in healthy humans. Eur J Clin Nutr 2007; 61: 1189– 95 17268410
  37. [44]Martinez-Medina M Aldeguer X Gonzalez-Huix F Abnormal microbiota composition in the ileocolonic mucosa of Crohn's disease patients as revealed by polymerase chain reaction-denaturing gradient gel electrophoresis. Inflamm Bowel Dis 2006; 12: 1136– 45 17119388
  38. [45]Frank DN St Amand AL Feldman RA Molecular-phylogenetic characterization of microbial community imbalances in human inflammatory bowel diseases. Proc Natl Acad Sci USA 2007; 104: 13780– 5 17699621 PMC1959459
  39. [46]Sokol H Pigneur B Watterlot L Faecalibacterium prausnitzii is an anti-inflammatory commensal bacterium identified by gut microbiota analysis of Crohn disease patients. Proc Natl Acad Sci USA 2008; 105: 16731– 6 18936492 PMC2575488
  40. [48]Cousin FJ Mater DDG Foligne B Dairy propionibacteria as human probiotics: A review of recent evidence. Dairy Sci Technol 2011; 91: 1– 26
  41. [51]Cuiv PO Klaassens ES Durkin AS Draft genome sequence of Bacteroides vulgatus PC510, a strain isolated from human feces. J Bacteriol 2011; 193: 4025– 6 21622758 PMC3147508
  42. [52]Sanchez E De PG Capilla A Influence of environmental and genetic factors linked to celiac disease risk on infant gut colonization by Bacteroides species. Appl Environ Microbiol 2011; 77: 5316– 23 21642397 PMC3147488
  43. [53]Rath HC Wilson KH Sartor RB Differential induction of colitis and gastritis in HLA-B27 transgenic rats selectively colonized with Bacteroides vulgatus or Escherichia coli. Infect Immun 1999; 67: 2969– 74 10338507 PMC96608
  44. [55]Oberbach A Bluher M Wirth H Combined proteomic and metabolomic profiling of serum reveals association of the complement system with obesity and identifies novel markers of body fat mass changes. J Proteome Res 2011; 10: 4769– 88 21823675
  45. [56]Schwab U Seppanen-Laakso T Yetukuri L Triacylglycerol fatty acid composition in diet-induced weight loss in subjects with abnormal glucose metabolism–the GENOBIN study. PLoS One 2008; 3: e2630 18612464 PMC2440352
  46. [57]Velagapudi VR Hezaveh R Reigstad CS The gut microbiota modulates host energy and lipid metabolism in mice. J Lipid Res 2010; 51: 1101– 2 20040631 PMC2853437
  47. [58]Lovejoy J Newby FD Gebhart SS Insulin resistance in obesity is associated with elevated basal lactate levels and diminished lactate appearance following intravenous glucose and insulin. Metabolism 1992; 41: 22– 7 1538640
  48. [59]Qvisth V Hagstrom-Toft E Moberg E Lactate release from adipose tissue and skeletal muscle in vivo: defective insulin regulation in insulin-resistant obese women. Am J Physiol Endocrinol Metab 2007; 292: E709– 14 17077346
  49. [61]Moore WE Moore LH Intestinal floras of populations that have a high risk of colon cancer. Appl Environ Microbiol 1995; 61: 3202– 7 7574628 PMC167598
  50. [63]Salek RM Maguire ML Bentley E A metabolomic comparison of urinary changes in type 2 diabetes in mouse, rat, and human. Physiol Genomics 2007; 29: 99– 108 17190852
  51. [64]Waldram A Holmes E Wang Y Top-down systems biology modeling of host metabotype-microbiome associations in obese rodents. J Proteome Res 2009; 8: 2361– 75 19275195

Cited by

Sorted by citations

Authors
Dewulf, E. M., Cani, P. D., Claus, S. P., Fuentes, S., Puylaert, P. G., Neyrinck, A. M., Bindels, L. B., de Vos, W. M., Gibson, G. R., Thissen, J.-P., & Delzenne, N. M.
Affiliations
  • UCLouvain (BE)
  • University of Reading (GB)
  • Wageningen University & Research (NL)
  • Laboratory of Microbiology, Wageningen University and Research Centre, Wageningen, The Netherlands
Corresponding author
Delzenne, Nathalie M
ORCID
Venue
Gut
Publisher
BMJ
Published
2012-11-07
Volume
62
Issue
8
Pages
1112-1121
ISSN
  • 0017-5749 (ISSN-L)
  • 1468-3288
DOI
10.1136/gutjnl-2012-303304
PMC
PMC3711491
OpenAlex
W2170274997
Cited by
825
References
14
Citations by year
2026: 25 · 2025: 54 · 2024: 51 · 2023: 53 · 2022: 86 · 2021: 74 · 2020: 86 · 2019: 72 · 2018: 66 · 2017: 67 · 2016: 55 · 2015: 55 · 2014: 43 · 2013: 34 · 2012: 2
FWCI
40.03
Type
journal article
Language
en
Open access
Licence
cc-by-nc
Locations
  • Gut (publishedVersion, cc-by-nc)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • CentAUR (University of Reading) (acceptedVersion)
  • Socio-Environmental Systems Modeling (acceptedVersion)
  • Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (submittedVersion)
  • HighWire Press Open Archive (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Topics
  • Health Sciences › Nursing › Nutrition and Dietetics › Microbial Metabolites in Food Biotechnology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Probiotics and Fermented Foods
Keywords
inulin-type fructans, prebiotics, gut microbiota, obesity, women, Bifidobacterium, Faecalibacterium prausnitzii, Bacteroides intestinalis, Bacteroides vulgatus, Propionibacterium, lipopolysaccharide, endotoxemia, fat mass, lactate, phosphatidylcholine, plasma metabolomics, urine metabolomics, host metabolism
MeSH terms
Adolescent, Adult, Anthropometry, Bacteria, Double-Blind Method, Feces, Female, Humans, Inulin, Middle Aged, Obesity, Bacterial Typing Techniques, Body Mass Index, Metagenome, Metabolome, Young Adult, Prebiotics

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