Cited by 156Gastrointestinal motility and disordersGut microbiota and healthInfant Health and Development

Gut microbiota influences low fermentable substrate diet efficacy in children with irritable bowel syndrome

Open access
Chumpitazi, Bruno P, Hollister, Emily B, Oezguen, Numan, Tsai, Cynthia M, McMeans, Ann R, Luna, Ruth A, Savidge, Tor C, Versalovic, James +1 more·2014·Gut Microbes

Abstract

We sought to determine whether a low fermentable substrate diet (LFSD) decreases abdominal pain frequency in children with irritable bowel syndrome (IBS) and to identify potential microbial factors related to diet efficacy. Pain symptoms, stooling characteristics, breath hydrogen and methane, whole intestinal transit time, stool microbiome, and metabolite composition were collected and/or documented in eight children with IBS at baseline and during one week of an LFSD intervention. Pain frequency (P<0.05), pain severity (P<0.05), and pain-related interference with activities (P<0.05) decreased in the subjects while on the LFSD. Responders vs. non-responders: four children (50%) were identified as responders (> 50% decrease in abdominal pain frequency while on the LFSD). There were no differences between responders and non-responders with respect to hydrogen production, methane production, stooling characteristics, or gut transit time. Responders were characterized by increased pre-LFSD abundance of bacterial taxa belonging to the genera Sporobacter (P<0.05) and Subdoligranulum (P<0.02) and decreased abundance of taxa belonging to Bacteroides (P<0.05) relative to non-responders. In parallel, stool metabolites differed between responders and non-responders and were associated with differences in microbiome composition. These pilot study results suggest that an LFSD may be effective in decreasing GI symptoms in children with IBS. Microbial factors such as gut microbiome composition and stool metabolites while on the diet may relate to LFSD efficacy.

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 · 10.4161/gmic.27923

Cites

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?

  • Fecal microbial community composition might predict which children with IBS are more likely to respond to a low-FODMAP diet; in two studies, responders had distinct baseline microbiome signatures compared to non-responders.

    “Fecal microbial community composition also might be used to predict which children with IBS are more likely to respond to a low-FODMAP diet: in two separate studies, responders had distinct baseline microbiome signatures compared to non-responders131, 132.”

Self-check

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

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

The citation lists haven’t been fetched yet

References 48 · Cited by 156

Research works printed but not linked: 1

  1. Ong DK, Mitchell SB, Barrett JS, Shepherd SJ, Irving PM, Biesiekierski JR, Smith S, Gibson PR, Muir JG. Manipulation of dietary short chain carbohydrates alters the pattern of gas production and genesis of symptoms in irritable bowel syndrome. J Gastroenterol Hepatol 2010; 25:1366-73; PMID:20659225; http:// dx.doi.org/10.1111/j.1440-1746.2010.06370.x · DOI · Paper page

Authors
Chumpitazi, B. P., Hollister, E. B., Oezguen, N., Tsai, C. M., McMeans, A. R., Luna, R. A., Savidge, T. C., Versalovic, J., & Shulman, R. J.
Affiliations
  • Baylor College of Medicine (US)
  • Children's Nutrition Research Center at Baylor College of Medicine (US)
Corresponding author
Chumpitazi, Bruno P
Venue
Gut Microbes
Published
2014-01-27
Volume
5
Issue
2
Pages
165-175
ISSN
  • 1949-0976 (ISSN-L)
  • 1949-0984
OpenAlex
W2035092181
Cited by
156
References
48
Citations by year
2026: 8 · 2025: 10 · 2024: 11 · 2023: 11 · 2022: 17 · 2021: 7 · 2020: 13 · 2019: 20 · 2018: 16 · 2017: 15 · 2016: 17 · 2015: 9 · 2014: 1 · 2012: 1
FWCI
14.03
Type
journal article
Language
en
Open access
Locations
  • Gut Microbes (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • U.S. Department of Agriculture (P30 DK56338, 6250-51000-043, 6250‐51000)
  • Texas Children's Hospital
  • University of Washington
  • American College of Gastroenterology
  • North American Society for Pediatric Gastroenterology, Hepatology and Nutrition
  • National Institutes of Health
  • Agricultural Research Service (P30 DK-56338, 6250-51000-043, 6250-51000)
  • NASPGHAN Foundation
  • National Institute of Nursing Research (R01 NR05337, RC2NR011959, R01NR005337)
  • National Institute of Diabetes and Digestive and Kidney Diseases (P30DK-56338, UH2DK083990, UH3DK083990, K23DK101688, P30DK056338)
Topics
  • Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Health Professions › Pharmacy › Infant Health and Development
Keywords
irritable bowel syndrome, gut microbiota, abdominal pain, children, Subdoligranulum, Bacteroides, fecal metabolites, intestinal transit time
MeSH terms
Adolescent, Child, Diet, Feces, Female, Fermentation, Humans, Hydrogen, Male, Methane, Pilot Projects, Abdominal Pain, Gastrointestinal Tract, Irritable Bowel Syndrome

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