Evidence map›Paper›PMID 31219051›Full record

ArticleJMIR research protocols2019

Diet-Induced Alteration of Microbiota and Development of Obesity, Nonalcoholic Fatty Liver Disease, and Diabetes: Study Protocol of a Prospective Study.

Martine Uittenbogaart, Wouter Kg Leclercq, Danielle Bonouvrie, Marleen M Romeijn, Arijan Apm Luijten, Steven Wm Olde Damink, Francois Mh van Dielen, Sander S Rensen

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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

8 authors at 3 institutions in 1 country.

Martine UittenbogaartDepartment of Bariatric Surgery, Máxima Medical Center, Veldhoven, Netherlands.ORCID http://orcid.org/0000-0001-8099-8322
Wouter Kg LeclercqDepartment of Bariatric Surgery, Máxima Medical Center, Veldhoven, Netherlands.ORCID http://orcid.org/0000-0003-1159-1857
Danielle BonouvrieDepartment of Bariatric Surgery, Máxima Medical Center, Veldhoven, Netherlands.ORCID http://orcid.org/0000-0003-3813-1930
Marleen M RomeijnDepartment of Bariatric Surgery, Máxima Medical Center, Veldhoven, Netherlands.ORCID http://orcid.org/0000-0001-6582-5255
Arijan Apm LuijtenDepartment of Bariatric Surgery, Máxima Medical Center, Veldhoven, Netherlands.ORCID http://orcid.org/0000-0001-6640-7864
Steven Wm Olde DaminkDepartment of Surgery, Maastricht University Medical Centre, Maastricht University, Maastricht, Netherlands.ORCID http://orcid.org/0000-0002-5202-9345
Francois Mh van DielenDepartment of Bariatric Surgery, Máxima Medical Center, Veldhoven, Netherlands.ORCID http://orcid.org/0000-0002-8906-9746
Sander S RensenSchool of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, Netherlands.ORCID http://orcid.org/0000-0001-5054-8400
Radboud University Nijmegen · NLMaastricht University · NLMaastricht University Medical Centre · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDevelopment of obesity and obesity-related diseases, such as type 2 diabetes mellitus and nonalcoholic fatty liver disease (NAFLD), is associated with altered gut microbiota composition. The aim of this study is to investigate associations among dietary compounds, intestinal cell function, and gut microbiota composition. We hypothesize that dietary lipid intake is associated with Paneth cell and goblet cell properties that affect gut microbiota composition.

objectiveThe primary objective of this study is to determine whether a difference in dietary intake is associated with a difference in intestinal mucin-2 expression and gut microbiota composition.

methodsThis is a single-center prospective study, including 1 obese group undergoing laparoscopic Roux-en-y gastric bypass and 2 lean control groups undergoing either laparoscopic cholecystectomy or upper gastrointestinal endoscopy (n=228). During laparoscopy, biopsies will be taken of visceral fat (omentum majus), liver, muscle tissue of the abdominal wall, and subcutaneous fat. In the obese group, a small segment of the jejunum will be collected for analysis, which will be compared with an endoscopically derived jejunal biopsy from the upper gastrointestinal endoscopy control group. Stool samples for microbiota profiling will be collected at baseline and 1 year after surgery. Primary outcomes are fecal microbiota composition and mucus characteristics. Secondary outcomes include Paneth cell phenotype, body weight, diet composition, glucose tolerance, resolution of comorbidities, and weight loss 1 year after surgery.

resultsThis trial is currently open for recruitment. The anticipated completion date is December 2019.

conclusionsThe Diet-Induced Alteration of Microbiota and Development of Obesity, NAFLD, and Diabetes study will improve insight into the pathophysiology of obesity and its associated metabolic disorders. Better understanding of weight loss failure and weight regain following bariatric surgery might also behold new therapeutic opportunities for obesity and obesity-related comorbidities.

trial registrationNetherlands Trial Register NTR5660; https://www.trialregister.nl/trial/5540 (Archived by WebCite at http://www.webcitation.org/78l7jOZre). INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/11553.

Indexed as

gastric bypassmicrobiotaNAFLDobesitytype 2 diabetes

Identifiers

PMID31219051
PMCPMC6607771
OpenAlexW2952994334

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.