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

Study information

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

study design

cross-sectional observational, not case-control

Citation

PMID PubMed identifier for scientific articles.

32429742

DOI Digital object identifier for electronic documents.

10.1089/chi.2019.0312

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

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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

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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 Control	Links
Lactobacillaceae

Revision editor(s): WikiWorks

Signature 2

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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 Control	Links
Bacteroidaceae
Porphyromonadaceae
Prevotellaceae

Revision editor(s): WikiWorks