Evidence map›Paper›PMID 28760163›Full record

ArticleMicrobiome2017

Stable engraftment of human microbiota into mice with a single oral gavage following antibiotic conditioning.

Christopher Staley, Thomas Kaiser, Lalit K Beura, Matthew J Hamilton, Alexa R Weingarden, Aleh Bobr, Johnthomas Kang, David Masopust, Michael J Sadowsky, Alexander Khoruts

Open access · goldAbstract read
In one paragraph

Article in Microbiome, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed, 1 pooled it
14.4field-weighted citation impact, top 1% of its field
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

119 citing papers in PubMed, 1 synthesis or guideline pooled it, 250 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Humanizing Zophobas morio larvae microbiota for rapid screening of emerging decolonization strategies against multidrug-resistant bacteria.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
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  9. Giant Panda Feces-DerivedVeterinary sciences · 2026
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  16. CommensalGut · 2025
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  20. Article

59 more citing papers are in PubMed but not listed here.

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

10 authors at 1 institution in 1 country.

Christopher StaleyBioTechnology Institute, University of Minnesota, St. Paul, MN, USA.
Thomas KaiserBioTechnology Institute, University of Minnesota, St. Paul, MN, USA.
Lalit K BeuraCenter for Immunology, University of Minnesota, 2101 6th St. S.E., Room 3-184, Wallin Medical Biosciences Building, Minneapolis, MN, 55414, USA.
Matthew J HamiltonBioTechnology Institute, University of Minnesota, St. Paul, MN, USA.
Alexa R WeingardenBioTechnology Institute, University of Minnesota, St. Paul, MN, USA.
Aleh BobrCenter for Immunology, University of Minnesota, 2101 6th St. S.E., Room 3-184, Wallin Medical Biosciences Building, Minneapolis, MN, 55414, USA.
Johnthomas KangCenter for Immunology, University of Minnesota, 2101 6th St. S.E., Room 3-184, Wallin Medical Biosciences Building, Minneapolis, MN, 55414, USA.
David MasopustCenter for Immunology, University of Minnesota, 2101 6th St. S.E., Room 3-184, Wallin Medical Biosciences Building, Minneapolis, MN, 55414, USA.
Michael J SadowskyBioTechnology Institute, University of Minnesota, St. Paul, MN, USA.
Alexander KhorutsBioTechnology Institute, University of Minnesota, St. Paul, MN, USA. khoru001@umn.edu.ORCID 0000-0002-3205-3188
University of Minnesota · US

Funding

Mucosal T Cell Memory to PathogensR01AI084913 · NIAID · UNIVERSITY OF MINNESOTA · PI MASOPUST, DAVID · 2010 to 2023
$5.8M
The role of bile acid metabolism recovery in treatment of C. difficile infectionR21AI114722 · NIAID · UNIVERSITY OF MINNESOTA · PI CHEN, CHI, KHORUTS, ALEXANDER · 2015 to 2016
$414k
NIAID NIH HHS R01 AI084913NIAID NIH HHS R21 AI114722
6 · The paper itself

Abstract

backgroundHuman microbiota-associated (HMA) animal models relying on germ-free recipient mice are being used to study the relationship between intestinal microbiota and human disease. However, transfer of microbiota into germ-free animals also triggers global developmental changes in the recipient intestine, which can mask disease-specific attributes of the donor material. Therefore, a simple model of replacing microbiota into a developmentally mature intestinal environment remains highly desirable.

resultsHere we report on the development of a sequential, three-course antibiotic conditioning regimen that allows sustained engraftment of intestinal microorganisms following a single oral gavage with human donor microbiota. SourceTracker, a Bayesian, OTU-based algorithm, indicated that 59.3 ± 3.0% of the fecal bacterial communities in treated mice were attributable to the donor source. This overall degree of microbiota engraftment was similar in mice conditioned with antibiotics and germ-free mice. Limited surveys of systemic and mucosal immune sites did not show evidence of immune activation following introduction of human microbiota.

conclusionsThe antibiotic treatment protocol described here followed by a single gavage of human microbiota may provide a useful, complimentary HMA model to that established in germ-free facilities. The model has the potential for further in-depth translational investigations of microbiota in a variety of human disease states.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaModels, AnimalAdministration, OralAnimalsAnti-Bacterial AgentsBacteriaFecal Microbiota TransplantationFecesGerm-Free LifeHumansMiceAnti-Bacterial AgentsAntibioticsFecal microbiota transplantationGerm-freeHumanizationMouse model

Identifiers

PMID28760163
PMCPMC5537947
OpenAlexW2741776504

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.