Evidence map›Paper›PMID 34361925›Full record

ArticleMicroorganisms2021

Composition and Functions of the Gut Microbiome in Pediatric Obesity: Relationships with Markers of Insulin Resistance.

Camila E Orsso, Ye Peng, Edward C Deehan, Qiming Tan, Catherine J Field, Karen L Madsen, Jens Walter, Carla M Prado, Hein M Tun, Andrea M Haqq

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

21 citing papers in PubMed, 30 citations in OpenAlex.

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  15. Article
  16. Gut microbiota and obesity: New insights.Frontiers in nutrition · 2022
    Review
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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

10 authors at 3 institutions in 3 countries.

Camila E OrssoHuman Nutrition Research Unit, Department of Agricultural, Food and Nutritional Science, 4-002 Li Ka Shing Centre for Health Innovation, University of Alberta, Edmonton, AB T6G 2E1, Canada.ORCID 0000-0001-5989-0528
Ye PengHKU-Pasteur Research Pole, School of Public Health, University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0003-3791-2305
Edward C DeehanDepartment of Medicine, University of Alberta, Edmonton, AB T6G 2C2, Canada.
Qiming TanDepartment of Pediatrics, University of Alberta, Edmonton, AB T6G 2R3, Canada.ORCID 0000-0001-9014-6246
Catherine J FieldDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2E1, Canada.
Karen L MadsenDepartment of Medicine, University of Alberta, Edmonton, AB T6G 2C2, Canada.ORCID 0000-0002-8636-0714
Jens WalterAPC Microbiome Ireland, School of Microbiology, and Department of Medicine, University College Cork-National University of Ireland, T12 YT20 Cork, Ireland.
Carla M PradoHuman Nutrition Research Unit, Department of Agricultural, Food and Nutritional Science, 4-002 Li Ka Shing Centre for Health Innovation, University of Alberta, Edmonton, AB T6G 2E1, Canada.
Hein M TunHKU-Pasteur Research Pole, School of Public Health, University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0001-7597-5062
Andrea M HaqqDepartment of Pediatrics, University of Alberta, Edmonton, AB T6G 2R3, Canada.
University of Alberta · CAHKU-Pasteur Research Pole · HKNational University of Ireland · IE

Funding

Alberta Health Services RES0043853Women and Children's Health Research Institute RES0040520
6 · The paper itself

Abstract

The gut microbiome is hypothesized to play a crucial role in the development of obesity and insulin resistance (IR); the pathways linking the microbiome to IR in pediatrics have yet to be precisely characterized. We aimed to determine the relationship between the gut microbiome composition and metabolic functions and IR in children with obesity. In a cross-sectional study, fecal samples from children with obesity (10-16 years old) were collected for taxonomical and functional analysis of the fecal microbiome using shotgun metagenomics. The homeostatic model assessment for insulin resistance (HOMA-IR) was determined using fasting glucose and insulin. Associations between HOMA-IR and α-diversity measures as well as metabolic pathways were evaluated using Spearman correlations; relationships between HOMA-IR and β-diversity were assessed by permutational multivariate analysis of variance. Twenty-one children (nine males; median: age = 12.0 years; BMI z-score = 2.9; HOMA-IR = 3.6) completed the study. HOMA-IR was significantly associated with measures of α-diversity but not with β-diversity. Children with higher HOMA-IR exhibited lower overall species richness, Firmicutes species richness, and overall Proteobacteria species Shannon diversity. Furthermore, HOMA-IR was inversely correlated with the abundance of pathways related to the biosynthesis of lipopolysaccharides, amino acids, and short-chain fatty acids, whereas positive correlations between HOMA-IR and the peptidoglycan biosynthesis pathways were observed. In conclusion, insulin resistance was associated with decreased microbial α-diversity measures and abundance of genes related to the metabolic pathways. Our study provides a framework for understanding the microbial alterations in pediatric obesity.

Indexed as

childhood obesitygut microbiomeHOMA-IRinsulin resistancemicrobiotashotgun metagenomics

Identifiers

PMID34361925
PMCPMC8304481
OpenAlexW3181618855

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.