Evidence map›Paper›PMID 30513674›Full record

SynthesisInternational journal of molecular sciences2018

The Human Microbiota and Obesity: A Literature Systematic Review of In Vivo Models and Technical Approaches.

Lucrecia Carrera-Quintanar, Daniel Ortuño-Sahagún, Noel N Franco-Arroyo, Juan M Viveros-Paredes, Adelaida S Zepeda-Morales, Rocio I Lopez-Roa

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03990350 (Comparison of the Gut Microbiota Composition in Caucasian Hispanic and Caucasian Non-Hispanic Children With and Without Obesity), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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.

NCT03990350 completednot on this mapstarted 2019, after this paper: background citation

Comparison of the Gut Microbiota Composition in Caucasian Hispanic and Caucasian Non-Hispanic Children With and Without Obesity

TypeobservationalSponsorNemours Children's ClinicRan2019 to 2020Enrolled17ConditionsObesityArmsFecal Sample Collection, Physical Activity Questionnaire, Food Frequency Questionnaire, 24-hour dietary recall diary
3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Anti-obesity peptides from food: Production, evaluation, sources, and commercialization.Comprehensive reviews in food science and food safety · 2025
    Review
  5. The Microbiota in Cancer: A Secondary Player or a Protagonist?Current issues in molecular biology · 2024
    Review
  6. Review
  7. Pediatric Obesity Treatment: Considerations for Diabetes Educators and Clinicians.Diabetes spectrum : a publication of the American Diabetes Association · 2024
    Article
  8. Article
  9. Review
  10. Review
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.

Lucrecia Carrera-QuintanarLaboratorio de Ciencias de los Alimentos, Departamento de Reproducción Humana, Crecimiento y Desarrollo Infantil, Universidad de Guadalajara, CUCS, Guadalajara Jalisco 45180, Mexico. lucrecia.carrera@gmail.com.
Daniel Ortuño-SahagúnLaboratorio de Neuroinmunobiología Molecular, Instituto de Investigación en Ciencias Biomédicas (IICB) CUCS, Universidad de Guadalajara, Guadalajara Jalisco 45180, Mexico. daniel.ortuno.sahagun@gmail.com.ORCID 0000-0002-7443-2514
Noel N Franco-ArroyoLaboratorio de Investigación y Desarrollo Farmacéutico, Universidad de Guadalajara, CUCEI, Guadalajara Jalisco 44430, Mexico. noel_n_franco@hotmail.com.
Juan M Viveros-ParedesLaboratorio de Investigación y Desarrollo Farmacéutico, Universidad de Guadalajara, CUCEI, Guadalajara Jalisco 44430, Mexico. jvivero99@hotmail.com.
Adelaida S Zepeda-MoralesLaboratorio de Investigación y Desarrollo Farmacéutico, Universidad de Guadalajara, CUCEI, Guadalajara Jalisco 44430, Mexico. adelaida.zepeda@academicos.udg.mx.
Rocio I Lopez-RoaLaboratorio de Investigación y Desarrollo Farmacéutico, Universidad de Guadalajara, CUCEI, Guadalajara Jalisco 44430, Mexico. rocio.lopez@academicos.udg.mx.ORCID 0000-0002-2339-4108

Funding

Consejo Nacional de Ciencia y Tecnología 620112Consejo Nacional de Ciencia y Tecnología CB-2015-256736Consejo Nacional de Ciencia y Tecnología CB-2017-A1-S-51026SEP PRODEP UDG-PTC-1313
6 · The paper itself

Abstract

Obesity is a noncommunicable disease that affects a considerable part of humanity. Recently, it has been recognized that gut microbiota constitutes a fundamental factor in the triggering and development of a large number of pathologies, among which obesity is one of the most related to the processes of dysbiosis. In this review, different animal model approaches, methodologies, and genome scale metabolic databases were revisited to study the gut microbiota and its relationship with metabolic disease. As a data source, PubMed for English-language published material from 1 January 2013, to 22 August 2018, were screened. Some previous studies were included if they were considered classics or highly relevant. Studies that included innovative technical approaches or different in vivo or in vitro models for the study of the relationship between gut microbiota and obesity were selected after a 16-different-keyword exhaustive search. A clear panorama of the current available options for the study of microbiota's influence on obesity, both for animal model election and technical approaches, is presented to the researcher. All the knowledge generated from the study of the microbiota opens the possibility of considering fecal transplantation as a relevant therapeutic alternative for obesity and other metabolic disease treatment.

Indexed as

AnimalsGastrointestinal MicrobiomeHumansInflammationMicrobiotaObesityanimal modelhumaninflammatory diseasemicrobiotaobesity

Identifiers

PMID30513674
PMCPMC6320813

What OpenQuestion holds

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Registered trials

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.