A study of the correlation between obesity and intestinal flora in school-age children

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Reviewed Marked as Reviewed by Claregrieve1 on 2022/06/21
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Gao X, Jia R, Xie L, Kuang L, Feng L, Wan C
Journal
Scientific reports
Year
2018
With the improvement of living standards and dietary changes, childhood obesity has increased worldwide. This study aimed to understand the differences of intestinal flora structure between obese and normal children at school-age. Using the next generation sequencing platform, Illumina Miseq, 16S rDNA high-throughput sequencing technology, we analyzed the diversity and relative abundance of intestinal flora in 39 obese and 38 normal control school-age children. First, we categorized gut bacteria on the basis of their Operational taxonomic units (OTUs) using the RDP 16s rRNA database in RDP classifier. The alpha (α) diversity was used to measure the diversity within a sample and is calculated as a value for each sample. The beta (β) diversity was used to compare different samples and to measure the dissimilarity between each other sample. Our results indicated that intestinal flora in obese children showed lower diversity than normal controls. Significant differences of relative abundance of intestinal flora were detected at multiple levels of classifications. Identification of intestinal flora with significant difference between obese and normal children may provide important information to uncover the roles of these specific bacteria in the development of obesity and find new strategy to prevent and treat obesity through intervening the intestinal flora.

Experiment 1


Reviewed Marked as Reviewed by Claregrieve1 on 2022/06/21

Curated date: 2021/01/10

Curator: WikiWorks

Revision editor(s): Claregrieve1, WikiWorks

Subjects

Location of subjects
China
Host species Species from which microbiome was sampled. Contact us to have more species added.
Homo sapiens
Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Obesity Adiposis,Adiposity,Obese,Obese (finding),obesity,Obesity (disorder),Obesity [Ambiguous],obesity disease,obesity disorder,Obesity NOS,Obesity, unspecified,Overweight and obesity,Obesity
Group 0 name Corresponds to the control (unexposed) group for case-control studies
controls
Group 1 name Corresponds to the case (exposed) group for case-control studies
obese children
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
School children meeting WHO diagnostic criteria for obesity
Group 0 sample size Number of subjects in the control (unexposed) group
38
Group 1 sample size Number of subjects in the case (exposed) group
39
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
4 weeks

Lab analysis

Sequencing type
16S
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
V3-V4
Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
Illumina

Statistical Analysis

Statistical test
Mann-Whitney (Wilcoxon)
Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
0.05
MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
Yes

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
decreased
Chao1 Abundance-based estimator of species richness
decreased
Simpson Estimator of species richness and species evenness: more weight on species evenness
increased
Richness Number of species
decreased

Signature 1

Reviewed Marked as Reviewed by Claregrieve1 on 2022/06/21

Curated date: 2021/01/10

Curator: Mst Afroza Parvin

Revision editor(s): Claregrieve1, WikiWorks

Source: Table2, Table 3

Description: Comparisons of relative abundance of gut bacteria between the obesity and control groups at the level of Phylum & Species

Abundance in Group 1: increased abundance in obese children

NCBI Quality ControlLinks
Allisonella histaminiformans
Bacteroidota
Bilophila wadsworthia
Megamonas funiformis
Oxalobacter formigenes
Parabacteroides distasonis
Parasutterella excrementihominis
Phocaeicola plebeius
Leyella stercorea
[Clostridium] symbiosum

Revision editor(s): Claregrieve1, WikiWorks

Signature 2

Reviewed Marked as Reviewed by Claregrieve1 on 2022/06/21

Curated date: 2021/01/10

Curator: Mst Afroza Parvin

Revision editor(s): Lwaldron, Claregrieve1, WikiWorks

Source: Table2, Table 3, text

Description: Comparisons of relative abundance of gut bacteria between the obesity and control groups at the level of Phylum & Species

Abundance in Group 1: decreased abundance in obese children

NCBI Quality ControlLinks
Actinomycetota
Akkermansia muciniphila
Alloprevotella rava
Anaerostipes butyraticus
Anaerostipes caccae
Bacteroides fragilis
Bacteroides ovatus
Bacteroides thetaiotaomicron
Blautia luti
Blautia wexlerae
Candidatus Saccharibacteria
Enterococcus cecorum
Thomasclavelia ramosa
Faecalibacterium prausnitzii
Bacillota
Gordonibacter pamelaeae
Lactonifactor longoviformis
Solobacterium moorei
Streptococcus constellatus
Streptococcus salivarius
Verrucomicrobiota
[Clostridium] leptum
Faecalispora sporosphaeroides
[Eubacterium] sulci

Revision editor(s): Lwaldron, Claregrieve1, WikiWorks