Gut Bacterial Families Are Associated with Body Composition and Metabolic Risk Markers in School-Aged Children in Rural Mexico

From BugSigDB
Reviewed Marked as Reviewed by Atrayees on 2023-7-20
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Aguilar T, Nava GM, Olvera-Ramírez AM, Ronquillo D, Camacho M, Zavala GA, Caamaño MC, Acevedo-Whitehouse K, Rosado JL, García OP
Journal
Childhood obesity (Print)
Year
2020
Keywords:
bacterial families, children, metabolic markers, microbiota, obesity
Background: Differences in gut microbiota composition have been associated with obesity and metabolic alterations in children. The aim of this study was to analyze the abundance of the main bacterial families of the gut among children according to their body composition and metabolic markers. Methods: A cross-sectional study was conducted with 93 school-aged children (8.4 ± 1.6 years old). Anthropometric and body composition variables were measured and a blood sample was collected to determine glucose, insulin, lipid profile, C-reactive protein, leptin, and cytokines [interleukin 6, interleukin 10 (IL-10), tumor necrosis factor α (TNFα)]. DNA was extracted from stool samples and the abundance of bacterial families (Bacteroidaceae-Porphyromonadaceae-Prevotellaceae, Lactobacillaceae, Enterococcaceae, and Lachnospiraceae-Ruminococcaceae) was determined by qPCR assays. Results: Children with obesity and high waist/height ratio had lower Bacteroidaceae-Porphyromonadaceae-Prevotellaceae and higher abundance of Lactobacillaceae when compared with normal-weight children. TNFα was negatively associated and IL-10 was positively associated with Bacteroidaceae-Porphyromonadaceae-Prevotellaceae. Triglycerides showed a positive relationship with Lachnospiraceae-Ruminococcaceae whereas high-density lipoprotein-cholesterol was negatively associated with Lactobacillaceae. Conclusion: In rural Mexican school-aged children, a low abundance of Bacteroidaceae-Porphyromonadaceae-Prevotellaceae and a high abundance of Lactobacillaceae are associated with obesity and metabolic disturbances.

Experiment 1


Reviewed Marked as Reviewed by Atrayees on 2023-7-20

Curated date: 2021/01/10

Curator: WikiWorks

Revision editor(s): WikiWorks, Atrayees, Victoria

Subjects

Location of subjects
Mexico
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
normal weight children
Group 1 name Corresponds to the case (exposed) group for case-control studies
obese
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
School-aged children
Group 0 sample size Number of subjects in the control (unexposed) group
56
Group 1 sample size Number of subjects in the case (exposed) group
16
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
4 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
RT-qPCR

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
relative abundances
Statistical test
ANOVA
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


Signature 1

Reviewed Marked as Reviewed by Atrayees on 2023-7-20

Curated date: 2021/01/10

Curator: Mst Afroza Parvin

Revision editor(s): WikiWorks

Source: Figure A1

Description: Comparison of mean (ANOVA) between anthropometrical and biochemical variables and their association with the main bacterial families studied. (A) Comparison between normal weight, overweight, and obesity according to BMI for age.

Abundance in Group 1: increased abundance in obese

NCBI Quality ControlLinks
Lactobacillaceae

Revision editor(s): WikiWorks

Signature 2

Reviewed Marked as Reviewed by Atrayees on 2023-7-20

Curated date: 2021/01/10

Curator: Mst Afroza Parvin

Revision editor(s): WikiWorks

Source: Figure A1

Description: Comparison of mean (ANOVA) between anthropometrical and biochemical variables and their association with the main bacterial families studied. (A) Comparison between normal weight, overweight, and obesity according to BMI for age.

Abundance in Group 1: decreased abundance in obese

NCBI Quality ControlLinks
Bacteroidaceae
Porphyromonadaceae
Prevotellaceae

Revision editor(s): WikiWorks