Evidence map›Paper›PMID 36532542›Full record

ArticleFrontiers in nutrition2022

Intake of slow-digesting carbohydrates is related to changes in the microbiome and its functional pathways in growing rats with obesity induced by diet.

Julio Plaza-Díaz, Manuel Manzano, Francisco Javier Ruiz-Ojeda, Maria D Giron, Rafael Salto, Jose M López-Pedrosa, Angela Santos-Fandila, Maria Teresa Garcia-Corcoles, Ricardo Rueda, Ángel Gil

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Review
  9. Frontiers in microbiology · 2026
    Article
  10. Article
  11. Article
  12. Gut Microbiome of Two Rodent Species (Animals : an open access journal from MDPI · 2025
    Article
  13. Article
  14. Article
  15. Dietary Factors Impact Developmental Trajectories in Young Autistic Children.Journal of autism and developmental disorders · 2024
    Article
  16. Article
  17. 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

10 authors at 5 institutions in 3 countries.

Julio Plaza-DíazDepartment of Biochemistry and Molecular Biology II, School of Pharmacy, University of Granada, Granada, Spain.
Manuel ManzanoAbbott Nutrition R&D, Granada, Spain.
Francisco Javier Ruiz-OjedaDepartment of Biochemistry and Molecular Biology II, School of Pharmacy, University of Granada, Granada, Spain.
Maria D GironDepartment of Biochemistry and Molecular Biology II, School of Pharmacy, University of Granada, Granada, Spain.
Rafael SaltoDepartment of Biochemistry and Molecular Biology II, School of Pharmacy, University of Granada, Granada, Spain.
Jose M López-PedrosaAbbott Nutrition R&D, Granada, Spain.
Angela Santos-FandilaAbbott Nutrition R&D, Granada, Spain.
Maria Teresa Garcia-CorcolesDepartment of Biochemistry and Molecular Biology II, School of Pharmacy, University of Granada, Granada, Spain.
Ricardo RuedaAbbott Nutrition R&D, Granada, Spain.
Ángel GilDepartment of Biochemistry and Molecular Biology II, School of Pharmacy, University of Granada, Granada, Spain.
Abbott (Spain) · ESUniversidad de Granada · ESComplejo Hospitalario Universitario de Granada · ESHelmholtz Zentrum München · DEInstituto de Investigación Biosanitaria de Granada · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The main cause of insulin resistance in childhood is obesity, which contributes to future comorbidities as in adults. Although high-calorie diets and lack of exercise contribute to metabolic disease development, food quality rather than the quantity of macronutrients is more important than food density. The purpose of the present study was to examine the effects of changing the quality of carbohydrates from rapidly to slowly digestible carbohydrates on the composition of the gut microbiota and the profiles of the functional pathways in growing rats with obesity due to a high-fat diet (HFD). Methods: During the course of 4 weeks, rats growing on an HFD-containing carbohydrates with different digestive rates were fed either HFD-containing carbohydrates with a rapid digestion rate (OBE group) or HFD-containing carbohydrates with a slow digestion rate (OBE-ISR group). A non-obese group (NOB) was included as a reference, and rats were fed on a rodent standard diet (AIN93G). An analysis of gut microbiota was conducted using 16S rRNA-based metagenomics; a linear mixed-effects model (LMM) was used to determine changes in abundance between baseline and 4 weeks of treatment, and functional pathways were identified. Gut microbiota composition at bacterial diversity and relative abundance, at phylum and genus levels, and functional profiles were analyzed by integrating the Integrated Microbial Genomes (IMG) database. Results: The groups showed comparable gut microbiota at baseline. At the end of the treatment, animals from the ISR group exhibited differences at the phylum levels by decreasing the diversity of Fisher's index and Conclusion: The results of this study demonstrate that replacing rapidly digestible carbohydrates with slowly digestible carbohydrates within an HFD improve the composition of the gut microbiota. Consequently, metabolic disturbances associated with obesity may be prevented.

Indexed as

dietary carbohydratesgastrointestinal microbiomemetabolismmicrobiotaobesitypediatric obesityrats

Identifiers

PMID36532542
PMCPMC9748084
OpenAlexW4310806176

What OpenQuestion holds

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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.