Evidence map›Paper›PMID 39198444›Full record

ArticleNature communications2024

Gut Microbiome Wellness Index 2 enhances health status prediction from gut microbiome taxonomic profiles.

Daniel Chang, Vinod K Gupta, Benjamin Hur, Sergio Cobo-López, Kevin Y Cunningham, Nam Soo Han, Insuk Lee, Vanessa L Kronzer, Levi M Teigen, Lioudmila V Karnatovskaia and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–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

32 citing papers in PubMed.

  1. Trial
  2. Article
  3. Gut Microbial Topology and Metabolic Signatures Associated With Colorectal Neoplasia.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Harnessing the microbiome for cancer therapy.Nature reviews. Microbiology · 2026
    Review
  9. Article
  10. Article
  11. Article
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  13. Article
  14. Review
  15. Article
  16. Review
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  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Daniel Chang *Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0003-0076-2833
Vinod K Gupta *Microbiomics Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
Benjamin HurMicrobiomics Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
Sergio Cobo-LópezViral Information Institute, San Diego State University, San Diego, CA, USA.
Kevin Y CunninghamBioinformatics and Computational Biology Program, University of Minnesota, Minneapolis, MN, USA.
Nam Soo HanBrain Korea 21 Center for Bio-Health Industry, Department of Food Science and Biotechnology, Chungbuk National University, Cheongju, South Korea.
Insuk LeeDepartment of Biotechnology, Yonsei University, Seoul, South Korea.ORCID 0000-0003-3146-6180
Vanessa L KronzerDivision of Rheumatology, Department of Medicine, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-7489-3134
Levi M TeigenDepartment of Food Science and Nutrition, University of Minnesota, St. Paul, MN, USA.ORCID 0000-0002-6409-0485
Lioudmila V KarnatovskaiaDepartment of Pulmonary & Critical Care, Mayo Clinic, Rochester, MN, USA.
Erin E LongbrakeDepartment of Neurology, Yale University, New Haven, CT, USA.
John M DavisDivision of Rheumatology, Department of Medicine, Mayo Clinic, Rochester, MN, USA.
Heidi NelsonEmeritus, Department of Surgery, Mayo Clinic, Rochester, MN, USA.
Jaeyun SungMicrobiomics Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA. Sung.Jaeyun@mayo.edu.ORCID 0000-0002-3005-2798

Funding

Mayo Clinic Center for Clinical and Translational Science (CCaTS UL1 Supplement - Dr. Timothy Curry)UL1TR002377 · NCATS · MAYO CLINIC ROCHESTER · PI VESNA D GAROVIC · 2017 to 2026
$78.4M
University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
NCATS NIH HHS UL1 TR002377NCATS NIH HHS UL1 TR002494U.S. Department of Health & Human Services | National Institutes of Health (NIH) UL1TR002377
6 · The paper itself

Abstract

Recent advancements in translational gut microbiome research have revealed its crucial role in shaping predictive healthcare applications. Herein, we introduce the Gut Microbiome Wellness Index 2 (GMWI2), an enhanced version of our original GMWI prototype, designed as a standardized disease-agnostic health status indicator based on gut microbiome taxonomic profiles. Our analysis involves pooling existing 8069 stool shotgun metagenomes from 54 published studies across a global demographic landscape (spanning 26 countries and six continents) to identify gut taxonomic signals linked to disease presence or absence. GMWI2 achieves a cross-validation balanced accuracy of 80% in distinguishing healthy (no disease) from non-healthy (diseased) individuals and surpasses 90% accuracy for samples with higher confidence (i.e., outside the "reject option"). This performance exceeds that of the original GMWI model and traditional species-level α-diversity indices, indicating a more robust gut microbiome signature for differentiating between healthy and non-healthy phenotypes across multiple diseases. When assessed through inter-study validation and external validation cohorts, GMWI2 maintains an average accuracy of nearly 75%. Furthermore, by reevaluating previously published datasets, GMWI2 offers new insights into the effects of diet, antibiotic exposure, and fecal microbiota transplantation on gut health. Available as an open-source command-line tool, GMWI2 represents a timely, pivotal resource for evaluating health using an individual's unique gut microbial composition.

Indexed as

FecesGastrointestinal MicrobiomeHealth StatusBacteriaFemaleHumansMetagenome

Identifiers

PMID39198444
PMCPMC11358288

What OpenQuestion holds

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Registered trials

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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.