Pediatric obesity is associated with an altered gut microbiota and discordant shifts in Firmicutes populations
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Study information
-
Quality control
- Retracted paper
- Contamination issues suspected
- Batch effect issues suspected
- Uncontrolled confounding suspected
- Results are suspect (various reasons)
- Tags applied
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Riva A, Borgo F, Lassandro C, Verduci E, Morace G, Borghi E, Berry D
Journal
Environmental microbiology
Year
2017
An altered gut microbiota has been linked to obesity in adulthood, although little is known about childhood obesity. The aim of this study was to characterize the composition of the gut microbiota in obese (n = 42) and normal-weight (n = 36) children aged 6 to 16. Using 16S rRNA gene-targeted sequencing, we evaluated taxa with differential abundance according to age- and sex-normalized body mass index (BMI z-score). Obesity was associated with an altered gut microbiota characterized by elevated levels of Firmicutes and depleted levels of Bacteroidetes. Correlation network analysis revealed that the gut microbiota of obese children also had increased correlation density and clustering of operational taxonomic units (OTUs). Members of the Bacteroidetes were generally better predictors of BMI z-score and obesity than Firmicutes, which was likely due to discordant responses of Firmicutes OTUs. In accordance with these observations, the main metabolites produced by gut bacteria, short chain fatty acids (SCFAs), were higher in obese children, suggesting elevated substrate utilisation. Multiple taxa were correlated with SCFA levels, reinforcing the tight link between the microbiota, SCFAs and obesity. Our results suggest that gut microbiota dysbiosis and elevated fermentation activity may be involved in the etiology of childhood obesity.
Experiment 1
Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09
Subjects
- Location of subjects
- Italy
- 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
- pediatric obese
- Group 0 sample size Number of subjects in the control (unexposed) group
- 36
- Group 1 sample size Number of subjects in the case (exposed) group
- 42
- Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
- 6 months
Lab analysis
- Sequencing type
- 16S
- 16S variable region One or more hypervariable region(s) of the bacterial 16S gene
- Not specified
- Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
- Illumina
Statistical Analysis
- Statistical test
- Linear Regression
- 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
- Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
- age, sex
Alpha Diversity
- Shannon Estimator of species richness and species evenness: more weight on species richness
- unchanged
- Chao1 Abundance-based estimator of species richness
- unchanged
- Inverse Simpson Modification of Simpsons index D as 1/D to obtain high values in datasets of high diversity and vice versa
- unchanged
- Richness Number of species
- unchanged
Signature 1
Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09
Source: Table 1 & Supplementary Table 5
Description: Differential abundance in pediatric obesity versus normal weight controls
Abundance in Group 1: increased abundance in pediatric obese
NCBI | Quality Control | Links |
---|---|---|
Bacillota | ||
Clostridia | ||
Eubacteriales | ||
Oscillospiraceae | ||
Faecalibacterium prausnitzii |
Revision editor(s): WikiWorks
Signature 2
Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09
Source: Table 1 & Supplementary Table 5
Description: Differential abundance in pediatric obesity versus normal weight controls
Abundance in Group 1: decreased abundance in pediatric obese
NCBI | Quality Control | Links |
---|---|---|
Bacteroidota | ||
Bacteroidia | ||
Bacteroidales | ||
Bacteroidaceae | ||
Bacteroides | ||
Phocaeicola vulgatus | ||
Bacteroides stercoris |
Revision editor(s): WikiWorks
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