Literature DB >> 22177085

Changes in dominant groups of the gut microbiota do not explain cereal-fiber induced improvement of whole-body insulin sensitivity.

Martin O Weickert1, Ayman M Arafat, Michael Blaut, Carl Alpert, Natalie Becker, Verena Leupelt, Natalia Rudovich, Matthias Möhlig, Andreas Fh Pfeiffer.   

Abstract

BACKGROUND: Diets high in cereal-fiber (HCF) have been shown to improve whole-body insulin sensitivity. In search for potential mechanisms we hypothesized that a supplemented HCF-diet influences the composition of the human gut microbiota and/or biomarkers of colonic carbohydrate fermentation.
METHODS: We performed a randomized controlled 18-week intervention in group-matched overweight participants. Fecal samples of 69 participants receiving isoenergetic HCF (cereal-fiber 43 g/day), or control (cereal-fiber 14 g/day), or high-protein (HP, 28% of energy-intake, cereal-fiber 14 g/day), or moderately high cereal fiber/protein diets (MIX; protein 23% of energy-intake, cereal-fiber 26 g/day) with comparable fat contents were investigated for diet-induced changes of dominant groups of the gut microbiota, and of fecal short-chain fatty-acids (SCFA) including several of their proposed targets, after 0, 6, and 18-weeks of dietary intervention. In vitro fermentation of the cereal fiber extracts as used in the HCF and MIX diets was analyzed using gas chromatography. Diet-induced effects on whole-body insulin-sensitivity were measured using euglycaemic-hyperinsulinemic clamps and re-calculated in the here investigated subset of n = 69 participants that provided sufficient fecal samples on all study days.
RESULTS: Gut microbiota groups and biomarkers of colonic fermentation were comparable between groups at baseline (week 0). No diet-induced differences were detected between groups during this isoenergetic intervention, neither in the full model nor in uncorrected subgroup-analyses. The cereal-fiber extract as used for preparation of the supplements in the HCF and MIX groups did not support in vitro fermentation. Fecal acetate, propionate, and butyrate concentrations remained unchanged, as well as potential targets of increased SCFA, whereas valerate increased after 6-weeks in the HP-group only (p = 0.037). Insulin-sensitivity significantly increased in the HCF-group from week-6 (baseline M-value 3.8 ± 0.4 vs 4.3 ± 0.4 mg·kg-1·min-1, p = 0.015; full model 0-18-weeks, treatment-x-time interaction, p = 0.046).
CONCLUSIONS: Changes in the composition of the gut microbiota and/or markers of colonic carbohydrate fermentation did not contribute explaining the observed early onset and significant improvement of whole-body insulin sensitivity with the here investigated HCF-diet. TRIAL REGISTRATION: This trial was registered at http://www.clinicaltrials.gov as NCT00579657.

Entities:  

Year:  2011        PMID: 22177085      PMCID: PMC3264513          DOI: 10.1186/1743-7075-8-90

Source DB:  PubMed          Journal:  Nutr Metab (Lond)        ISSN: 1743-7075            Impact factor:   4.169


  39 in total

1.  Differences in fecal microbiota in different European study populations in relation to age, gender, and country: a cross-sectional study.

Authors:  Susanne Mueller; Katiana Saunier; Christiana Hanisch; Elisabeth Norin; Livia Alm; Tore Midtvedt; Alberto Cresci; Stefania Silvi; Carla Orpianesi; Maria Cristina Verdenelli; Thomas Clavel; Corinna Koebnick; Hans-Joachim Franz Zunft; Joël Doré; Michael Blaut
Journal:  Appl Environ Microbiol       Date:  2006-02       Impact factor: 4.792

2.  Effects of oligofructose on appetite profile, glucagon-like peptide 1 and peptide YY3-36 concentrations and energy intake.

Authors:  Sanne P M Verhoef; Diederick Meyer; Klaas R Westerterp
Journal:  Br J Nutr       Date:  2011-06-17       Impact factor: 3.718

3.  A cereal-based evening meal rich in indigestible carbohydrates increases plasma butyrate the next morning.

Authors:  Anne C Nilsson; Elin M Östman; Knud Erik Bach Knudsen; Jens J Holst; Inger M E Björck
Journal:  J Nutr       Date:  2010-09-01       Impact factor: 4.798

4.  Impact of cereal fibre on glucose-regulating factors.

Authors:  M O Weickert; M Mohlig; C Koebnick; J J Holst; P Namsolleck; M Ristow; M Osterhoff; H Rochlitz; N Rudovich; J Spranger; A F H Pfeiffer
Journal:  Diabetologia       Date:  2005-09-20       Impact factor: 10.122

5.  Cereal fiber improves whole-body insulin sensitivity in overweight and obese women.

Authors:  Martin O Weickert; Matthias Möhlig; Christof Schöfl; Ayman M Arafat; Bärbel Otto; Hannah Viehoff; Corinna Koebnick; Angela Kohl; Joachim Spranger; Andreas F H Pfeiffer
Journal:  Diabetes Care       Date:  2006-04       Impact factor: 19.112

6.  Reduced dietary intake of carbohydrates by obese subjects results in decreased concentrations of butyrate and butyrate-producing bacteria in feces.

Authors:  Sylvia H Duncan; Alvaro Belenguer; Grietje Holtrop; Alexandra M Johnstone; Harry J Flint; Gerald E Lobley
Journal:  Appl Environ Microbiol       Date:  2006-12-22       Impact factor: 4.792

7.  Weight loss during oligofructose supplementation is associated with decreased ghrelin and increased peptide YY in overweight and obese adults.

Authors:  Jill A Parnell; Raylene A Reimer
Journal:  Am J Clin Nutr       Date:  2009-04-22       Impact factor: 7.045

8.  Whole-grain foods do not affect insulin sensitivity or markers of lipid peroxidation and inflammation in healthy, moderately overweight subjects.

Authors:  Agneta Andersson; Siv Tengblad; Brita Karlström; Afaf Kamal-Eldin; Rikard Landberg; Samar Basu; Per Aman; Bengt Vessby
Journal:  J Nutr       Date:  2007-06       Impact factor: 4.798

9.  Fiber and magnesium intake and incidence of type 2 diabetes: a prospective study and meta-analysis.

Authors:  Matthias B Schulze; Mandy Schulz; Christin Heidemann; Anja Schienkiewitz; Kurt Hoffmann; Heiner Boeing
Journal:  Arch Intern Med       Date:  2007-05-14

10.  Whole grain, bran, and germ intake and risk of type 2 diabetes: a prospective cohort study and systematic review.

Authors:  Jeroen S L de Munter; Frank B Hu; Donna Spiegelman; Mary Franz; Rob M van Dam
Journal:  PLoS Med       Date:  2007-08       Impact factor: 11.069

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  19 in total

1.  Inter-individual differences in response to dietary intervention: integrating omics platforms towards personalised dietary recommendations.

Authors:  Johanna W Lampe; Sandi L Navarro; Meredith A J Hullar; Ali Shojaie
Journal:  Proc Nutr Soc       Date:  2013-02-06       Impact factor: 6.297

2.  Distinct alterations of gut morphology and microbiota characterize accelerated diabetes onset in nonobese diabetic mice.

Authors:  Marie-Christine Simon; Anna Lena Reinbeck; Corinna Wessel; Julia Heindirk; Tomas Jelenik; Kirti Kaul; Juan Arreguin-Cano; Alexander Strom; Michael Blaut; Fredrik Bäckhed; Volker Burkart; Michael Roden
Journal:  J Biol Chem       Date:  2019-12-10       Impact factor: 5.157

3.  Quantifying the improvement of surrogate indices of hepatic insulin resistance using complex measurement techniques.

Authors:  John G Hattersley; Matthias Möhlig; Michael Roden; Ayman M Arafat; Christian V Loeffelholz; Peter Nowotny; Jürgen Machann; Johannes Hierholzer; Martin Osterhoff; Michael Khan; Andreas F H Pfeiffer; Martin O Weickert
Journal:  PLoS One       Date:  2012-06-22       Impact factor: 3.240

4.  Short-chain fructo-oligosaccharides modulate intestinal microbiota and metabolic parameters of humanized gnotobiotic diet induced obesity mice.

Authors:  Frederique Respondek; Philippe Gerard; Mathilde Bossis; Laura Boschat; Aurélia Bruneau; Sylvie Rabot; Anne Wagner; Jean-Charles Martin
Journal:  PLoS One       Date:  2013-08-12       Impact factor: 3.240

Review 5.  Nutritional modulation of insulin resistance.

Authors:  Martin O Weickert
Journal:  Scientifica (Cairo)       Date:  2012-09-05

Review 6.  Modulation of gut microbiota in the management of metabolic disorders: the prospects and challenges.

Authors:  Omotayo O Erejuwa; Siti A Sulaiman; Mohd S Ab Wahab
Journal:  Int J Mol Sci       Date:  2014-03-07       Impact factor: 5.923

Review 7.  The Intestinal Microbiota in Metabolic Disease.

Authors:  Anni Woting; Michael Blaut
Journal:  Nutrients       Date:  2016-04-06       Impact factor: 5.717

Review 8.  Role of Gut Microbiota in the Aetiology of Obesity: Proposed Mechanisms and Review of the Literature.

Authors:  Muhammad Jaffar Khan; Konstantinos Gerasimidis; Christine Ann Edwards; M Guftar Shaikh
Journal:  J Obes       Date:  2016-09-15

9.  Psyllium supplementation in adolescents improves fat distribution & lipid profile: a randomized, participant-blinded, placebo-controlled, crossover trial.

Authors:  Martin de Bock; José G B Derraik; Christine M Brennan; Janene B Biggs; Greg C Smith; David Cameron-Smith; Clare R Wall; Wayne S Cutfield
Journal:  PLoS One       Date:  2012-07-27       Impact factor: 3.240

10.  The role of gut microbiota on insulin resistance.

Authors:  Andrea M Caricilli; Mario J A Saad
Journal:  Nutrients       Date:  2013-03-12       Impact factor: 5.717

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