Evidence map›Paper›PMID 32266159›Full record

ArticleFrontiers in cellular and infection microbiology2020

Mucosal Microbiome Profiles Polygenic Irritable Bowel Syndrome in Mestizo Individuals.

Rene Arredondo-Hernández, Max Schmulson, Patricia Orduña, Gamaliel López-Leal, Angel-Mario Zarate, Gerardo Alanis-Funes, Luis David Alcaraz, Rubí Santiago-Cruz, Miguel A Cevallos, Antonio R Villa and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

4 citing papers in PubMed, 6 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

13 authors at 3 institutions in 1 country.

Rene Arredondo-HernándezLaboratorio de Microbioma, División de Estudios de Posgrado y División de Investigación, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Max SchmulsonLaboratorio de Hígado, Páncreas y Motilidad (HIPAM), Unidad de Investigación en Medicina Experimental, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Patricia OrduñaLaboratorio de Microbioma, División de Estudios de Posgrado y División de Investigación, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Gamaliel López-LealPrograma de Inmunología Molecular Microbiana, Departamento de Microbiología y Parasitología, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Angel-Mario ZarateHospital General de México, Dr. Eduardo Liceaga, Mexico City, Mexico.
Gerardo Alanis-FunesTecnologico de Monterrey, School of Medicine and Health Sciences, Monterrey, Mexico.
Luis David AlcarazDepartamento de Biología Celular, Facultad de Ciencias, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Rubí Santiago-CruzPrograma de Inmunología Molecular Microbiana, Departamento de Microbiología y Parasitología, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Miguel A CevallosCentro de Ciencias Genómicas, Programa de Genómica Evolutiva, Universidad Nacional Autónoma de México, Cuernavaca, Mexico.
Antonio R VillaLaboratorio de Microbioma, División de Estudios de Posgrado y División de Investigación, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Samuel Ponce-de-León RosalesLaboratorio de Microbioma, División de Estudios de Posgrado y División de Investigación, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Yolanda López-VidalPrograma de Inmunología Molecular Microbiana, Departamento de Microbiología y Parasitología, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Consorcio Mexicano para el Estudio del Microbioma Humano
Universidad Nacional Autónoma de México · MXHospital General de México · MXTecnológico de Monterrey · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Irritable bowel syndrome (IBS) is the most frequent functional gastrointestinal disorder, worldwide, with a high prevalence among Mestizo Latin Americans. Because several inflammatory disorders appear to affect this population, a further understanding of host genomic background variants, in conjunction with colonic mucosa dysbiosis, is necessary to determine IBS physiopathology and the effects of environmental pressures. Using a simple polygenic model, host single nucleotide polymorphisms (SNPs) and the taxonomic compositions of microbiota were compared between IBS patients and healthy subjects. As proof of concept, five IBS-Rome III patients and five healthy controls (HCs) were systematically studied. The human and bacterial intestinal metagenome of each subject was taxonomically annotated and screened for previously annotated IBS, ulcerative colitis, and Crohn's disease-associated SNPs or taxon abundance. Dietary data and fecal markers were collected and associated with the intestinal microbiome. However, more than 1,000 variants were found, and at least 76 SNPs differentiated IBS patients from HCs, as did associations with 4 phyla and 10 bacterial genera. In this study, we found elements supporting a polygenic background, with frequent variants, among the Mestizo population, and the colonic mucosal enrichment of

Indexed as

EthnicityGastrointestinal MicrobiomeMultifactorial InheritanceAdultBacteriaBrainColonDietFecesFemaleGene FrequencyHumansImmunityIntestinal MucosaIrritable Bowel SyndromeMaleBacteroidesIBSmicrobiotapolygenic SNPsSNPs

Identifiers

PMID32266159
PMCPMC7098960
OpenAlexW3010746662

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.