Evidence map›Paper›PMID 29756026›Full record

ArticleSOJ microbiology & infectious diseases2014

Analysis of Gut Microbiome and Diet Modification in Patients with Crohn's Disease.

Sumathi Sankaran Walters, Antonio Quiros, Matthew Rolston, Irina Grishina, Jay Li, Anne Fenton, Todd Z DeSantis, Anne Thai, Gary L Andersen, Peggy Papathakis and 3 more

Open access · hybridAbstract read
In one paragraph

Article in SOJ microbiology & infectious diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 3 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Diet and inflammatory bowel disease: The Asian Working Group guidelines.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2019
    Guideline
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
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  12. Nutrients · 2022
    Article
  13. Nutritional Management of Thyroiditis of Hashimoto.International journal of molecular sciences · 2022
    Review
  14. Review
  15. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Sumathi Sankaran WaltersDepartment of Medical Microbiology and Immunology, University of CA Davis, USA.
Antonio QuirosDepartment of Internal Medicine, University of CA Davis, Sacramento, USA.
Matthew RolstonDepartment of Medical Microbiology and Immunology, University of CA Davis, USA.
Irina GrishinaDepartment of Medical Microbiology and Immunology, University of CA Davis, USA.
Jay LiDepartment of Medical Microbiology and Immunology, University of CA Davis, USA.
Anne FentonDepartment of Medical Microbiology and Immunology, University of CA Davis, USA.
Todd Z DeSantisDepartment of Bioinformatics, Second Genome, San Bruno, CA 94066.
Anne ThaiDepartment of Internal Medicine, University of CA Davis, Sacramento, USA.
Gary L AndersenEcology Department, Lawrence Berkeley National Laboratory, Berkeley, CA 94720.
Peggy PapathakisDepartment of Nutrition, California Polytechnic State University, San Luis Obispo, CA, USA.
Raquel NievesDepartment of Pediatrics, David Grant Medical Center, Travis Air Force Base, California, 94535.
Thomas PrindivilleDepartment of Internal Medicine, University of CA Davis, Sacramento, USA.
Satya DandekarDepartment of Medical Microbiology and Immunology, University of CA Davis, USA.

Funding

Building Interdisciplinary Research Careers in Womens Health at UC Davis - Administrative SupplementK12HD051958 · NICHD · UNIVERSITY OF CALIFORNIA DAVIS · PI LANE, NANCY E · 2005 to 2023
$9.6M
INTESTINAL CYTOKINE &TCELL HOMEOSTASIS IN SIV INFECTIONR01AI043274 · NIAID · UNIVERSITY OF CALIFORNIA DAVIS · PI DANDEKAR, SATYA · 1998 to 2013
$5.1M
HIV reservoir and CD4 repopulation in gut lymphoid tissueR01DK061297 · NIDDK · UNIVERSITY OF CALIFORNIA DAVIS · PI DANDEKAR, SATYA · 2002 to 2012
$3.5M
NIAID NIH HHS L30 AI079838NIAID NIH HHS R01 AI043274NICHD NIH HHS K12 HD051958NIDDK NIH HHS R01 DK061297
6 · The paper itself

Abstract

objectiveThe human intestine harbors trillions of commensal microbes that live in homeostasis with the host immune system. Changes in the composition and complexity of gut microbial communities are seen in inflammatory bowel disease (IBD), indicating disruption in host-microbe interactions. Multiple factors including diet and inflammatory conditions alter the microbial complexity. The goal of this study was to develop an optimized methodology for fecal sample processing and to detect changes in the gut microbiota of patients with Crohn's disease receiving specialized diets.

designFecal samples were obtained from patients with Crohn's disease in a pilot diet crossover trial comparing the effects of a specific carbohydrate diet (SCD) versus a low residue diet (LRD) on the composition and complexity of the gut microbiota and resolution of IBD symptoms. The gut microbiota composition was assessed using a high-density DNA microarray PhyloChip.

resultsDNA extraction from fecal samples using a column based method provided consistent results. The complexity of the gut microbiome was lower in IBD patients compared to healthy controls. An increased abundance of

conclusionChanges in the composition and complexity of the gut microbiome were identified in response to specialized carbohydrate diet. The SCD was associated with restructuring of the gut microbial communities.

Indexed as

Crohn’s DiseaseDiet ModificationFecal microbiomeIBDPhyloChip

Identifiers

PMID29756026
PMCPMC5944867
OpenAlexW2133876187

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.