Evidence map›Paper›PMID 39113097›Full record

ArticleMicrobiome2024

Mouse adaptation of human inflammatory bowel diseases microbiota enhances colonization efficiency and alters microbiome aggressiveness depending on the recipient colonic inflammatory environment.

Simon M Gray, Anh D Moss, Jeremy W Herzog, Saori Kashiwagi, Bo Liu, Jacqueline B Young, Shan Sun, Aadra P Bhatt, Anthony A Fodor, R Balfour Sartor

Abstract read
In one paragraph

Article in Microbiome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Supplementation with abioRxiv : the preprint server for biology · 2025
    Article
  6. Article
  7. From AI-AssistedPharmaceuticals (Basel, Switzerland) · 2025
    Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Human microbiota-associated animal models: a review.Frontiers in cellular and infection microbiology · 2025
    Review
  14. Review
  15. Early subclinical stages of the inflammatory bowel diseases: insights from human and animal studies.American journal of physiology. Gastrointestinal and liver physiology · 2025
    Review
  16. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Simon M Gray *Center for Gastrointestinal Biology and Disease, Department of Medicine, Division of Gastroenterology and Hepatology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Anh D Moss *Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA.
Jeremy W HerzogCenter for Gastrointestinal Biology and Disease, Department of Medicine, Division of Gastroenterology and Hepatology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Saori KashiwagiCenter for Gastrointestinal Biology and Disease, Department of Medicine, Division of Gastroenterology and Hepatology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Bo LiuCenter for Gastrointestinal Biology and Disease, Department of Medicine, Division of Gastroenterology and Hepatology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Jacqueline B YoungDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA.
Shan SunDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA.
Aadra P BhattCenter for Gastrointestinal Biology and Disease, Department of Medicine, Division of Gastroenterology and Hepatology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Anthony A Fodor *Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, USA. afodor@uncc.edu.
R Balfour SartorCenter for Gastrointestinal Biology and Disease, Department of Medicine, Division of Gastroenterology and Hepatology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. ryan_balfour_sartor@med.unc.edu.

Funding

PILOT AND FEASIBILITY STUDIESP30DK034987 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROBERT S. SANDLER · 1985 to 2026
$30.5M
Role of IL-10 in APC Regulation of Protective vs. Pathogenic T Cell Responses toP01DK094779 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHEIKH, SHEHZAD Z. · 2013 to 2023
$17.9M
National Gnotobiotic Rodent Resource CenterP40OD010995 · OD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Ryan B Sartor · 2012 to 2026
$9.7M
GASTROENTEROLOGY RESEARCH TRAININGT32DK007737 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHEHZAD Z. SHEIKH · 1996 to 2026
$7.8M
NIDDK NIH HHS P01 DK094779NIDDK NIH HHS P30 DK034987NIDDK NIH HHS T32 DK007737NIH HHS P40 OD010995NIH/NIDDK T32DK007737The Engineering Research Centers Program of the National Science Foundation NSF Cooperative Agreement No. EEC-2133504
6 · The paper itself

Abstract

backgroundUnderstanding the cause vs consequence relationship of gut inflammation and microbial dysbiosis in inflammatory bowel diseases (IBD) requires a reproducible mouse model of human-microbiota-driven experimental colitis.

resultsOur study demonstrated that human fecal microbiota transplant (FMT) transfer efficiency is an underappreciated source of experimental variability in human microbiota-associated (HMA) mice. Pooled human IBD patient fecal microbiota engrafted germ-free (GF) mice with low amplicon sequence variant (ASV)-level transfer efficiency, resulting in high recipient-to-recipient variation of microbiota composition and colitis severity in HMA Il-10

conclusionsOur findings support a model of IBD pathogenesis in which host inflammation promotes aggressive resident bacteria, which further drives a feed-forward process of dysbiosis exacerbated by gut inflammation. This model implies that effective management of IBD requires treating both the dysregulated host immune response and aggressive inflammation-driven microbiota. We propose that our mouse-adapted human microbiota model is an optimized, reproducible, and rigorous system to study human microbiome-driven disease phenotypes, which may be generalized to mouse models of other human microbiota-modulated diseases, including metabolic syndrome/obesity, diabetes, autoimmune diseases, and cancer. Video Abstract.

Indexed as

Disease Models, AnimalDysbiosisFecal Microbiota TransplantationGastrointestinal MicrobiomeInflammatory Bowel DiseasesInterleukin-10AnimalsBacteriaColitisColonFecesFemaleHumansInflammationMaleMiceInterleukin-10Experimental colitisFecal microbiota transplantHuman microbiota associated miceInflammatory bowel diseasesInterleukin-10 deficientMicrobiota transfer efficiencyMouse-adapted

Identifiers

PMID39113097
PMCPMC11304999

What Socratic 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 Socratic graph.