Evidence map›Paper›PMID 31443509›Full record

ArticleMicroorganisms2019

Changes in Oral Microbial Ecology of C57BL/6 Mice at Different Ages Associated with Sampling Methodology.

Angélica Hernández-Arriaga, Anja Baumann, Otto W Witte, Christiane Frahm, Ina Bergheim, Amélia Camarinha-Silva

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 26 citations in OpenAlex.

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  13. Antimicrobial-induced oral dysbiosis exacerbates naturally occurring alveolar bone loss.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021
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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

6 authors at 3 institutions in 2 countries.

Angélica Hernández-ArriagaInstitute of Animal Science, University of Hohenheim, 70599 Stuttgart, Germany.
Anja BaumannDepartment of Nutritional Sciences, Molecular Nutritional Science, University Vienna, 1090 Vienna, Austria.
Otto W WitteHans Berger Department of Neurology, Jena University Hospital, 07747 Jena, Germany.
Christiane FrahmHans Berger Department of Neurology, Jena University Hospital, 07747 Jena, Germany.
Ina BergheimDepartment of Nutritional Sciences, Molecular Nutritional Science, University Vienna, 1090 Vienna, Austria.
Amélia Camarinha-SilvaInstitute of Animal Science, University of Hohenheim, 70599 Stuttgart, Germany. amelia.silva@uni-hohenheim.de.
Jena University Hospital · DEUniversity of Hohenheim · DEUniversity of Vienna · AT

Funding

Deutsche Forschungsgemeinschaft CA 1708/1-1
6 · The paper itself

Abstract

The mouth is an important niche for bacterial colonization. Previous research used mouth microbiota to predict diseases like colon cancer and inflammatory bowel disease (IBD). It is still unclear how the sampling methodology influences microbial characterization. Our aim was to determine if the sampling methods, e.g., cotton swab or tissue biopsy, and the age influence the oral microbial composition of mice. Microbial DNA was extracted using a commercial kit and characterized targeting the 16s rRNA gene from mouth swabs and tissue biopsies from 2 and 15 months old C57BL/6 male mice kept in the same SPF facility. Our results show statistical different microbial community of the different ages, type of sampling, and the two fixed factors age x type of sample (

Indexed as

agingmicrobial ecologyoral microbiotaoral swaboral tissue biopsysampling methodologies

Identifiers

PMID31443509
PMCPMC6780121
OpenAlexW2969961893

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.