Evidence mapPaperPMID 40996271Full record

ArticlemBio2025

Assessment of ecological fidelity of human microbiome-associated mice in observational studies and an interventional trial.

Matthew K Wong, Eric Armstrong, Alya A Heirali, Pierre H H Schneeberger, Helen Chen, Kyla Cochrane, Keith Sherriff, Emma Allen-Vercoe, Lillian L Siu, Anna Spreafico and 1 more

Abstract read
In one paragraph

Article in mBio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Matthew K WongDepartment of Immunology, University of Toronto, Toronto, Canada.ORCID 0009-0007-4746-7571
Eric ArmstrongToronto General Hospital Research Institute, University Health Network, Toronto, Canada.
Alya A HeiraliToronto General Hospital Research Institute, University Health Network, Toronto, Canada.
Pierre H H SchneebergerToronto General Hospital Research Institute, University Health Network, Toronto, Canada.
Helen ChenNational Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Kyla CochraneNubiyota LLP, Guelph, Canada.
Keith SherriffUniversity of Guelph, Guelph, Canada.
Emma Allen-VercoeNubiyota LLP, Guelph, Canada.ORCID 0000-0002-8716-327X
Lillian L SiuTumor Immunotherapy Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Anna Spreafico *Tumor Immunotherapy Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Bryan Coburn *Department of Immunology, University of Toronto, Toronto, Canada.ORCID 0000-0003-0150-4510

Funding

North American Star ConsortiumUM1CA186644 · UNIVERSITY HEALTH NETWORK · 2025 to 2025
$1.7M
NCI NIH HHS UM1 CA186644
6 · The paper itself

Abstract

Composition and function of the gut microbiome are associated with diverse health conditions and treatment responses. Human microbiota-associated (HMA) mouse models are used to establish causal links for these associations but have important limitations. We assessed the fidelity of HMA mouse models in recapitulating ecological responses to a microbial consortium using stools collected from a human clinical trial. HMA mice were generated using different routes of consortium exposure, and their ecological features were compared to human donors by metagenomic sequencing. HMA mice resembled other mice more than their respective human donors in gut microbial composition and function, with taxa including

Indexed as

Gastrointestinal MicrobiomeMicrobial ConsortiaAkkermansiaAnimalsBacteriaBacteroidesFecal Microbiota TransplantationFecesFemaleHumansMaleMetagenomicsMiceMice, Inbred C57BLfecal microbiota transplantgut microbiomehuman microbiota-associated micemicrobial consortia

Identifiers

PMID40996271
PMCPMC12607873

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.