Evidence map›Paper›PMID 36578059›Full record

ArticleMicrobiome2022

Alterations of oral microbiota and impact on the gut microbiome in type 1 diabetes mellitus revealed by integrated multi-omic analyses.

B J Kunath, O Hickl, P Queirós, C Martin-Gallausiaux, L A Lebrun, R Halder, C C Laczny, T S B Schmidt, M R Hayward, D Becher and 5 more

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 2 pooled it
4.8field-weighted citation impact, top 4% 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

50 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 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

15 authors at 7 institutions in 5 countries.

B J Kunath *Luxembourg Centre for Systems Biomedicine, Esch-sur-Alzette, Luxembourg. benoit.kunath@uni.lu.
O Hickl *Luxembourg Centre for Systems Biomedicine, Esch-sur-Alzette, Luxembourg.
P QueirósLuxembourg Centre for Systems Biomedicine, Esch-sur-Alzette, Luxembourg.
C Martin-GallausiauxLuxembourg Centre for Systems Biomedicine, Esch-sur-Alzette, Luxembourg.
L A LebrunLuxembourg Centre for Systems Biomedicine, Esch-sur-Alzette, Luxembourg.
R HalderLuxembourg Centre for Systems Biomedicine, Esch-sur-Alzette, Luxembourg.
C C LacznyLuxembourg Centre for Systems Biomedicine, Esch-sur-Alzette, Luxembourg.
T S B SchmidtStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
M R HaywardRagon Institute of MGH, MIT and Harvard, Cambridge, MA, 02139, USA.
D BecherInstitute of Microbiology, University of Greifswald, Greifswald, Germany.
A Heintz-BuschartSwammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands.
C de BeaufortLuxembourg Centre for Systems Biomedicine, Esch-sur-Alzette, Luxembourg.
P BorkStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
P MayLuxembourg Centre for Systems Biomedicine, Esch-sur-Alzette, Luxembourg.
P WilmesLuxembourg Centre for Systems Biomedicine, Esch-sur-Alzette, Luxembourg. paul.wilmes@uni.lu.
Centre Hospitalier de Luxembourg · LUEuropean Molecular Biology Laboratory · DEMax Delbrück Center · DERagon Institute of MGH, MIT and Harvard · USUniversität Greifswald · DEUniversity of Amsterdam · NLUniversity of Luxembourg · LU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlterations to the gut microbiome have been linked to multiple chronic diseases. However, the drivers of such changes remain largely unknown. The oral cavity acts as a major route of exposure to exogenous factors including pathogens, and processes therein may affect the communities in the subsequent compartments of the gastrointestinal tract. Here, we perform strain-resolved, integrated meta-genomic, transcriptomic, and proteomic analyses of paired saliva and stool samples collected from 35 individuals from eight families with multiple cases of type 1 diabetes mellitus (T1DM).

resultsWe identified distinct oral microbiota mostly reflecting competition between streptococcal species. More specifically, we found a decreased abundance of the commensal Streptococcus salivarius in the oral cavity of T1DM individuals, which is linked to its apparent competition with the pathobiont Streptococcus mutans. The decrease in S. salivarius in the oral cavity was also associated with its decrease in the gut as well as higher abundances in facultative anaerobes including Enterobacteria. In addition, we found evidence of gut inflammation in T1DM as reflected in the expression profiles of the Enterobacteria as well as in the human gut proteome. Finally, we were able to follow transmitted strain-variants from the oral cavity to the gut at the individual omic levels, highlighting not only the transfer, but also the activity of the transmitted taxa along the gastrointestinal tract.

conclusionsAlterations of the oral microbiome in the context of T1DM impact the microbial communities in the lower gut, in particular through the reduction of "mouth-to-gut" transfer of Streptococcus salivarius. Our results indicate that the observed oral-cavity-driven gut microbiome changes may contribute towards the inflammatory processes involved in T1DM. Through the integration of multi-omic analyses, we resolve strain-variant "mouth-to-gut" transfer in a disease context. Video Abstract.

Indexed as

Diabetes Mellitus, Type 1Gastrointestinal MicrobiomeMicrobiotaEnterobacteriaceaeHumansMouthMultiomicsProteomics

Identifiers

PMID36578059
PMCPMC9795701
OpenAlexW4313340102

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.