Gut microbiota and overweight in 3-year old children

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Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
Authors
Karvonen AM, Sordillo JE, Gold DR, Bacharier LB, O'Connor GT, Zeiger RS, Beigelman A, Weiss ST, Litonjua AA
Journal
International journal of obesity (2005)
Year
2019
BACKGROUND: The gut microbiota has been associated with overweight and obesity in adults, but the evidence in children is limited. Our aim was to study whether composition of the gut microbiota at the age of 3 years is associated with overweight/obesity in children cross-sectionally. METHODS: Children, who participated in a clinical trial of prenatal vitamin-D supplementation (VDAART), underwent standardized height and weight measurements, and collection of stool samples at 3 years of age. 16 S rRNA sequencing (V4 region) of the stool samples were performed with Illumina MiSeq. Associations between microbiota and overweight/obesity (body mass index z-scores >85th percentile) was analyzed using logistic regression. RESULTS: Out of 502 children, 146 (29%) were categorized as overweight/obese. Maternal pre-pregnancy BMI, birth weight and length, formula feeding during the first year, high frequency of fast food consumption, and time watching TV or computer screen at 3 years were the risk factors for overweight/obesity. Of the top 20 most abundant genera, high relative abundance of Parabacteroidetes (Bacteroidetes; Bacteroidales) (aOR(95% CI): 0.69 (0.53, 0.90, p = 0.007) per interquartile increase) and unassigned genus within Peptostreptococcae family were inversely associated with overweight/obesity, whereas high relative abundance of Dorea (Firmicutes;Clostridiales) (1.23 (1.05, 1.43, p = 0.009)) was positively associated. Associations were independent of each other. No associations were found between diversity indices and overweight/obesity. CONCLUSIONS: Our data suggest that some of the differences in gut composition of bacteria between obese and non-obese adults can already be observed in 3-year old children. Longitudinal studies will be needed to determine long-term effects.

Experiment 1


Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09

Curated date: 2021/01/10

Curator: WikiWorks

Revision editor(s): Rimsha, WikiWorks, MyleeeA, Victoria

Subjects

Location of subjects
United States of America
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
control babies at the age of 3
Group 1 name Corresponds to the case (exposed) group for case-control studies
overweight/obese babies
Group 0 sample size Number of subjects in the control (unexposed) group
356
Group 1 sample size Number of subjects in the case (exposed) group
146
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
7 days

Lab analysis

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

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
relative abundances
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
Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
age, education level

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
unchanged

Signature 1

Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09

Curated date: 2021/01/10

Curator: Marianthi Thomatos

Revision editor(s): WikiWorks

Source: Table 3 & 4

Description: Gut microbiota in overweight 3 year old children

Abundance in Group 1: increased abundance in overweight/obese babies

NCBI Quality ControlLinks
Dorea
Roseburia

Revision editor(s): WikiWorks

Signature 2

Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09

Curated date: 2021/01/10

Curator: Marianthi Thomatos

Revision editor(s): WikiWorks

Source: Table 3 & 4

Description: Gut microbiota in overweight 3 year old children

Abundance in Group 1: decreased abundance in overweight/obese babies

NCBI Quality ControlLinks
Parabacteroides

Revision editor(s): WikiWorks