Evidence map›Paper›PMID 26839739›Full record

ArticlePeerJ2016

Impact of demographics on human gut microbial diversity in a US Midwest population.

Jun Chen, Euijung Ryu, Matthew Hathcock, Karla Ballman, Nicholas Chia, Janet E Olson, Heidi Nelson

Abstract read
In one paragraph

Article in PeerJ, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Gastro hep advances · 2025
    Article
  8. Review
  9. Observational
  10. Article
  11. Review
  12. Article
  13. Review
  14. Fecal Microbiota Transplantation during and Post-COVID-19 Pandemic.International journal of molecular sciences · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. A gut microbiota score predicting acute graft-versus-host disease following myeloablative allogeneic hematopoietic stem cell transplantation.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2020
    Article
  20. Review
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

7 authors.

Jun ChenDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States; Microbiome Program, Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States.
Euijung RyuDepartment of Health Sciences Research, Mayo Clinic , Rochester, Minnesota , United States.
Matthew HathcockDepartment of Health Sciences Research, Mayo Clinic , Rochester, Minnesota , United States.
Karla BallmanDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States; Division of Biostatistics and Epidemiology, Weill Medical College of Cornell University, New York, New York, United States.
Nicholas ChiaDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States; Microbiome Program, Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States; Department of Surgery, Mayo Clinic, Rochester, Minnesota, United States; Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota, United States.
Janet E OlsonDepartment of Health Sciences Research, Mayo Clinic , Rochester, Minnesota , United States.
Heidi NelsonMicrobiome Program, Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States; Department of Surgery, Mayo Clinic, Rochester, Minnesota, United States.

Funding

PILOT AND FEASIBILTY PROGRAMP30DK084567 · NIDDK · MAYO CLINIC ROCHESTER · PI GREGORY J. GORES · 2009 to 2026
$22.2M
Microbial Metabolic Toxicity Drives Colon CancerR01CA179243 · NCI · MAYO CLINIC ROCHESTER · PI CHIA, NICHOLAS · 2014 to 2018
$2.0M
NCI NIH HHS R01 CA179243NIDDK NIH HHS P30 DK084567
6 · The paper itself

Abstract

The clinical utility of microbiome biomarkers depends on the reliable and reproducible nature of comparative results. Underappreciation of the variation associated with common demographic, health, and behavioral factors may confound associations of interest and generate false positives. Here, we present the Midwestern Reference Panel (MWRP), a resource for comparative gut microbiome studies conducted in the Midwestern United States. We analyzed the relationships between demographic and health behavior-related factors and the microbiota in this cohort, and estimated their effect sizes. Most variables investigated were associated with the gut microbiota. Specifically, body mass index (BMI), race, sex, and alcohol use were significantly associated with microbial β-diversity (P < 0.05, unweighted UniFrac). BMI, race and alcohol use were also significantly associated with microbial α-diversity (P < 0.05, species richness). Tobacco use showed a trend toward association with the microbiota (P < 0.1, unweighted UniFrac). The effect sizes of the associations, as quantified by adjusted R(2) values based on unweighted UniFrac distances, were small (< 1% for all variables), indicating that these factors explain only a small percentage of overall microbiota variability. Nevertheless, the significant associations between these variables and the gut microbiota suggest that they could still be potential confounders in comparative studies and that controlling for these variables in study design, which is the main objective of the MWRP, is important for increasing reproducibility in comparative microbiome studies.

Indexed as

DemographicsEffect sizeMicrobial diversityMicrobiomeTarget population

Identifiers

PMID26839739
PMCPMC4734456

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.