Sofia Moran-Ramos1,2, Blanca E Lopez-Contreras2, Ricardo Villarruel-Vazquez2, Elvira Ocampo-Medina2, Luis Macias-Kauffer2, Jennifer N Martinez-Medina2, Hugo Villamil-Ramirez2, Paola León-Mimila2, Blanca E Del Rio-Navarro3, Isabel Ibarra-Gonzalez4, Marcela Vela-Amieva5, Francisco J Gomez-Perez6, Rafael Velazquez-Cruz7, Jorge Salmeron8, Zyanya Reyes-Castillo9, Carlos Aguilar-Salinas10,11, Samuel Canizales-Quinteros2. 1. Catedratica, Consejo Nacional De Ciencia Y Tecnología (CONACYT) , Mexico City, México. 2. Unidad De Genómica De Poblaciones Aplicada a La Salud, Facultad De Química, UNAM/Instituto Nacional De Medicina Genómica (INMEGEN) , Mexico City, México. 3. Servicio de Alergia e Inmunologia Clinica, Hospital Infantil México Federico Gómez , Mexico City, México. 4. Instituto De Investigaciones Biomédicas, UNAM - Instituto Nacional De Pediatría , Mexico City, México. 5. Laboratorio De Errores Innatos Del Metabolismo Y Tamiz, Instituto Nacional De Pediatría , Mexico City, México. 6. Departamento De Endocrinología Y Metabolismo, Instituto Nacional De Ciencias Médicas Y Nutrición Salvador Zubirán , Mexico City, México. 7. Laboratorio De Genómica Del Metabolismo Óseo, INMEGEN , Mexico City, México. 8. Centro de Investigación en Políticas, Población y Salud de la Facultad de Medicina-UNAM , Mexico City, Mexico. 9. Instituto de Investigaciones en Comportamiento Alimentario y Nutricion (IICAN), Universidad de Guadalajara - Centro Universitario del Sur , Ciudad Guzman, Jalisco, Mexico. 10. Unidad De Investigación En Enfermedades Metabólicas and Departamento De Endocrinología Y Metabolismo, Instituto Nacional De Ciencias Médicas Y Nutrición Salvador Zubirán , Mexico City, Mexico. 11. Tecnológico De Monterrey, Escuela De Medicina Y Ciencias De La Salud , Monterrey, México.
Abstract
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.
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 obesechildren (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.
Entities:
Keywords:
adolescents; children; co-abundance groups; diversity; enterotypes; gut microbiota; obesity
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