Evidence map›Paper›PMID 28677210›Full record

ArticleMicrobiologyOpen2017

Gut microbiome diversity influenced more by the Westernized dietary regime than the body mass index as assessed using effect size statistic.

Shannon C Davis, Jagjit S Yadav, Stephanie D Barrow, Boakai K Robertson

Abstract read
In one paragraph

Article in MicrobiologyOpen, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

37 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Acid-assisted polysaccharides extracted fromFrontiers in nutrition · 2024
    Article
  13. [Gut Microbiota and Obesity].The Korean journal of helicobacter and upper gastrointestinal research · 2023
    Review
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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

4 authors.

Shannon C DavisMicrobiology Program, Department of Biological Sciences, College of Science, Technology, Engineering and Mathematics, Alabama State University, Montgomery, AL, USA.
Jagjit S YadavMicrobial Pathogenesis and Immunotoxicology Laboratory, Department of Environmental Health, College of Medicine, University of Cincinnati, Cincinnati, OH, USA.
Stephanie D BarrowMicrobiology Program, Department of Biological Sciences, College of Science, Technology, Engineering and Mathematics, Alabama State University, Montgomery, AL, USA.
Boakai K RobertsonMicrobiology Program, Department of Biological Sciences, College of Science, Technology, Engineering and Mathematics, Alabama State University, Montgomery, AL, USA.ORCID 0000-0001-6060-5085

Funding

REPRODUCTIVE AND DEVELOPMENTAL TOXICOLOGY RESEARCHP30ES006096 · NIEHS · UNIVERSITY OF CINCINNATI · PI YADAV, JAGJIT S · 1992 to 2022
$35.4M
NIEHS NIH HHS P30 ES006096
6 · The paper itself

Abstract

Human gut microbiome dysbiosis has been associated with the onset of metabolic diseases and disorders. However, the critical factors leading to dysbiosis are poorly understood. In this study, we provide increasing evidence of the association of diet type and body mass index (BMI) and how they relatively influence the taxonomic structure of the gut microbiota with respect to the causation of gut microbiome dysbiosis. The study included randomly selected Alabama residents (n = 81), including females (n = 45) and males (n = 36). The demographics data included age (33 ± 13.3 years), height (1.7 ± 0.11 meters), and weight (82.3 ± 20.6 kg). The mean BMI was 28.3 ± 7.01, equating to an overweight BMI category. A cross-sectional case-control design encompassing the newly recognized effect size approach to bioinformatics analysis was used to analyze data from donated stool samples and accompanying nutrition surveys. We investigated the microbiome variations in the Bacteroidetes-Firmicutes ratio relative to BMI, food categories, and dietary groups at stratified abundance percentages of <20%, 20%, 30%, 40%, 50%, 60%, and ≥70%. We further investigated variation in the Firmicutes and Bacteroidetes phyla composition (at the genus and species level) in relation to BMI, food categories, and dietary groups (Westernized or healthy). The Pearson Correlation coefficient as an indication of effect size across Alpha diversity indices was used to test the hypothesis (H

Indexed as

DietFeeding BehaviorGastrointestinal MicrobiomeMicrobiotaAdultAlabamaBody Mass IndexCase-Control StudiesComputational BiologyCross-Sectional StudiesFemaleGastrointestinal TractHumansMaleMiddle AgedYoung Adultbody mass indexdysbiosiseffect sizegut microbiomenextgen sequencingobesityoverweightWesternized diet

Identifiers

PMID28677210
PMCPMC5552927

What OpenQuestion holds

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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.