Evidence map›Paper›PMID 32706377›Full record

ArticleILAR journal2020

Complex Microbiota in Laboratory Rodents: Management Considerations.

Craig L Franklin, Aaron C Ericsson

Open access · greenAbstract read
In one paragraph

Article in ILAR journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Craig L FranklinDepartment of Veterinary Pathobiology, University of Missouri, Columbia, Missouri.
Aaron C EricssonDepartment of Veterinary Pathobiology, University of Missouri, Columbia, Missouri.
University of Missouri · US

Funding

The Mutant Mouse Resource and Research Center at the University of Missouri - ResourceU42OD010918 · OD · UNIVERSITY OF MISSOURI-COLUMBIA · PI Bret Daniel Ulery · 2012 to 2026
$25.1M
Impact of gut microbiota and segmented filamentous bacteria on colitis-associated colorectal cancerK01OD019924 · OD · UNIVERSITY OF MISSOURI-COLUMBIA · PI ERICSSON, AARON · 2016 to 2020
$573k
NIH HHS K01 OD019924NIH HHS U42 OD010918
6 · The paper itself

Abstract

Our bodies and those of our animal research subjects are colonized by bacterial communities that occupy virtually every organ system, including many previously considered sterile. These bacteria reside as complex communities that are collectively referred to as microbiota. Prior to the turn of the century, characterization of these communities was limited by a reliance on culture of organisms on a battery of selective media. It was recognized that the vast majority of microbes, especially those occupying unique niches of the body such as the anaerobic environment of the intestinal tract, were uncultivatable. However, with the onset and advancement of next-generation sequencing technology, we are now capable of characterizing these complex communities without the need to cultivate, and this has resulted in an explosion of information and new challenges in interpreting data generated about, and in the context of, these complex communities. We have long known that these microbial communities often exist in an intricate balance that, if disrupted (ie, dysbiosis), can lead to disease or increased susceptibility to disease. Because of many functional redundancies, the makeup of these colonies can vary dramatically within healthy individuals [1]. However, there is growing evidence that subtle differences can alter the phenotype of various animal models, which may translate to the varying susceptibility to disease seen in the human population. In this manuscript, we discuss how to include complex microbiota as a consideration in experimental design and model reproducibility and how to exploit the extensive variation that exists in contemporary rodent research colonies. Our focus will be the intestinal or gut microbiota (GM), but it should be recognized that microbial communities exist in many other body compartments and these too likely influence health and disease [2, 3]. Much like host genetics, can we one day harness the vast genetic capacity of the microbes we live with in ways that will benefit human and animal health?

Indexed as

AnimalsGastrointestinal MicrobiomeGenome, MicrobialHumansModels, AnimalClinical genomicsfeces bankinggut microbiotamicrobiota transferreproducibilitytranslatability

Identifiers

PMID32706377
PMCPMC7583721
OpenAlexW3044590633

What OpenQuestion holds

Textmetadata
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.