Evidence map›Paper›PMID 39296723›Full record

ArticleGut microbiome (Cambridge, England)2020

Lumen and mucosa-associated

Alan J Marsh, Al-Mounawara A Yaya, Sandy Ng, Kshipra Chandrashekhar, Jeff Roach, Scott T Magness, M Andrea Azcarate-Peril

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Gut microbiome (Cambridge, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Low-Protein-Fed Chickens Benefit from ProbioticAnimals : an open access journal from MDPI · 2025
    Article
  3. Foods (Basel, Switzerland) · 2023
    Article
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.

Alan J MarshDepartment of Medicine, Division of Gastroenterology and Hepatology, School of Medicine, University of North Carolina, Chapel Hill, NC, USA.
Al-Mounawara A YayaDepartment of Medicine, Division of Gastroenterology and Hepatology, School of Medicine, University of North Carolina, Chapel Hill, NC, USA.
Sandy NgDepartment of Medicine, Division of Gastroenterology and Hepatology, School of Medicine, University of North Carolina, Chapel Hill, NC, USA.
Kshipra ChandrashekharDepartment of Medicine, Division of Gastroenterology and Hepatology, School of Medicine, University of North Carolina, Chapel Hill, NC, USA.
Jeff RoachUNC Microbiome Core, Center for Gastrointestinal Biology and Disease, School of Medicine, University of North Carolina, Chapel Hill, NC, USA.
Scott T MagnessUNC/NC State University Joint Departments of Biomedical Engineering and UNC Departments of Medicine, Cell Biology & Physiology, University of North Carolina, Chapel Hill, NC, USA.
M Andrea Azcarate-PerilDepartment of Medicine, Division of Gastroenterology and Hepatology, School of Medicine, University of North Carolina, Chapel Hill, NC, USA.ORCID https://orcid.org/0000-0003-0325-1289

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge of the intra-individual spatial and regional distribution of intestinal microbial populations is essential to understand gut host-microbial interactions. In this study, we performed a compositional analysis of luminal and mucosal samples from the small and large intestine of four organ donors by 16S rRNA amplicon sequencing and high-throughput quantitative polymerase chain reaction. Since the human microbiota is subject to selection pressure at lower taxonomic levels, we isolated over 400 bacterial strains and investigated strain-level variation of 11

Indexed as

Lactobacillus rhamnosusLumenMicrobiomeMucosaOrgan Donor

Identifiers

PMID39296723
PMCPMC11406413

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.