Evidence map›Paper›PMID 30758325›Full record

ArticlePediatric research2019

The mucosal-luminal interface: an ideal sample to study the mucosa-associated microbiota and the intestinal microbial biogeography.

Walid Mottawea, James Butcher, Jennifer Li, Turki Abujamel, Juliana Manoogian, David Mack, Alain Stintzi

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Article in Pediatric research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
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  4. Complete genomes ofMicrobiology resource announcements · 2026
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  9. A novel method for precise endoscopic sampling of duodenal microbiota.Frontiers in cellular and infection microbiology · 2025
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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

7 authors.

Walid MottaweaDepartment of Biochemistry, Microbiology and Immunology, Ottawa Institute of Systems Biology, University of Ottawa, Ottawa, ON, Canada.
James ButcherDepartment of Biochemistry, Microbiology and Immunology, Ottawa Institute of Systems Biology, University of Ottawa, Ottawa, ON, Canada.
Jennifer LiDepartment of Biochemistry, Microbiology and Immunology, Ottawa Institute of Systems Biology, University of Ottawa, Ottawa, ON, Canada.
Turki AbujamelDepartment of Biochemistry, Microbiology and Immunology, Ottawa Institute of Systems Biology, University of Ottawa, Ottawa, ON, Canada.
Juliana ManoogianDepartment of Biochemistry, Microbiology and Immunology, Ottawa Institute of Systems Biology, University of Ottawa, Ottawa, ON, Canada.
David MackChildren's Hospital of Eastern Ontario (CHEO) Research Institute, University of Ottawa, Ottawa, ON, Canada.
Alain StintziDepartment of Biochemistry, Microbiology and Immunology, Ottawa Institute of Systems Biology, University of Ottawa, Ottawa, ON, Canada. astintzi@uottawa.ca.

Funding

CIHR
6 · The paper itself

Abstract

backgroundAlterations in gastrointestinal microbial communities have been linked to human disease. Most studies use fecal samples as a proxy for the intestinal microbiota; however, the fecal microbiome is not fully representative of the mucosa-associated microbiota at the site of disease. While mucosal biopsies can be used instead, they often contain a high proportion of host DNA that can confound 16S ribosomal RNA (rRNA) gene sequencing studies.

methodsTo overcome these limitations, we sampled the mucosal-luminal interface (MLI) to study the mucosa-associated microbiota. We also employed a simple bioinformatics workflow to remove contaminants from 16S rRNA gene profiling results.

resultsOur results indicate that the microbial differences between individuals are greater than those between different microenvironments within the same individual. Moreover, biopsy samples frequently contained contaminants that could significantly impact biopsy profiling results.

conclusionsOur findings highlight the utility of collecting MLI aspirates to complement biopsies and stools for characterizing human microbial communities.

Indexed as

Gastrointestinal MicrobiomeAdolescentBiopsyChildChild, PreschoolCohort StudiesColonoscopyFecesFemaleGene LibraryGenome, MicrobialHumansIntestinal MucosaMaleParacentesisRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

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.