Environmental and intrinsic factors shaping gut microbiota composition and diversity and its relation to metabolic health in children and early adolescents: A population-based study

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Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI Uniform resource identifier for web resources.
Authors
Moran-Ramos S, Lopez-Contreras BE, Villarruel-Vazquez R, Ocampo-Medina E, Macias-Kauffer L, Martinez-Medina JN, Villamil-Ramirez H, León-Mimila P, Del Rio-Navarro BE, Ibarra-Gonzalez I, Vela-Amieva M, Gomez-Perez FJ, Velazquez-Cruz R, Salmeron J, Reyes-Castillo Z, Aguilar-Salinas C, Canizales-Quinteros S
Journal
Gut microbes
Year
2020
BACKGROUND: Gut microbiota, by influencing multiple metabolic processes in the host, is an important determinant of human health and disease. However, gut dysbiosis associated with metabolic complications shows inconsistent patterns. This is likely driven by factors shaping gut microbial composition that have largely been under-evaluated, at a population level, in school-age children, especially from developing countries. RESULTS: Through characterization, by 16S sequencing, of the largest gut microbial population-based school-aged children cohort in Latin America (ORSMEC, N = 926, aged 6-12 y), we identified associations of 14 clinical and environmental covariates (PFDR<0.1), collectively explaining 15.7% of the inter-individual gut microbial variation. Extrinsic factors such as markers of socioeconomic status showed a major influence in the most abundant taxa and in the enterotypes' distribution. Age was positively correlated with higher diversity, but only in normal-weight children (rho = 0.138, P =2 × 10-3). In contrast, this correlation although not significant, was negative in overweight and obese children (rho = -0.125, P = 0.104 and rho = -0.058, P = 0.409, respectively). Finally, co-abundance groups (CAGs) were associated with the presence of metabolic complications. CONCLUSIONS: Our study offers evidence that the presence of overweight and obesity could impair the microbial diversity maturation associated with age. Furthermore, it provides novel results toward a better understanding of gut microbiota in the pediatric population that will ultimately help to develop therapeutic approaches to improve metabolic status.

Experiment 1


Needs review

Curated date: 2022/07/22

Curator: Kaluifeanyi101

Revision editor(s): Kaluifeanyi101

Subjects

Location of subjects
Mexico
Host species Species from which microbiome was sampled (if applicable)
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
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
socioeconomic statussocioeconomic status

Group 0 name Corresponds to the control (unexposed) group for case-control studies
75th Percentile of 926 participants (monthly household income=>$15,250.)
Group 1 name Corresponds to the case (exposed) group for case-control studies
25th Percentile of 926 participants (monthly household income=<$7000.)
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
25th percentile of 926 children from 6 to 12 y old, representing a sub-cohort who participated in the Obesity Research Study of Mexican Children (ORSMEC) cohort which has been extensively phenotyped for a variety of metabolic and metabolomic parameters.

(Income analyzed as a continuous variable)

Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
unspecified.

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

Statistical test
PERMANOVA
Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
.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, body mass index, antibiotic exposure, 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

Signature 1

Needs review

Curated date: 2022/07/23

Curator: Kaluifeanyi101

Revision editor(s): Kaluifeanyi101

Source: Table 1

Description: List of taxa significantly associated with monthly household income. All models are adjusted for age, gender, and previous antibiotic use, *β values in the opposite direction are due to normalization procedures of relative abundance.

Abundance in Group 1: increased abundance in 25th Percentile of 926 participants (monthly household income=<$7000.)

NCBI Links
Megamonas
Prevotella
unclassified Veillonellaceae

Revision editor(s): Kaluifeanyi101

Signature 2

Needs review

Curated date: 2022/07/23

Curator: Kaluifeanyi101

Revision editor(s): Kaluifeanyi101

Source: Table 1

Description: List of taxa significantly associated with monthly household income. All models are adjusted for age, gender, and previous antibiotic use, *β values in the opposite direction are due to normalization procedures of relative abundance.

Abundance in Group 1: decreased abundance in 25th Percentile of 926 participants (monthly household income=<$7000.)

NCBI Links
unclassified Ruminococcus
Amedibacillus dolichus
Oscillospira
Holdemania
Bacteroides fragilis
Rikenellaceae
Eggerthella lenta

Revision editor(s): Kaluifeanyi101