Adaptation of the Human Gut Microbiota Metabolic Network During the First Year After Birth
Metadatos
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Frontiers in Media
Materia
Personalized nutrition Metabolic networks Human gut microbiome Metagenomics Metabolomics
Date
2019-04-24Referencia bibliográfica
Fuertes A, Pérez-Burillo S, Apaolaza I, Vallès Y, Francino MP, Rufián-Henares JÁ and Planes FJ (2019) Adaptation of the Human Gut Microbiota Metabolic Network During the First Year After Birth. Front. Microbiol. 10:848.
Patrocinador
IA was supported by a Basque Government predoctoral grant (PRE_2017_2_0028). SP-B was supported by a Spanish Government predoctoral grant (FPU14/01192). This manuscript will form part of the doctoral thesis of SP-B conducted within the context of the “Nutrition and Food Sciences Programme” at the University of Granada. This work was supported by the EU Project STANCE4HEALTH (contract number 816303) and the Ministry of Economy and Competitiveness of Spain (BIO2016-77998-R, SAF2009-13032-C02-02, CSD2009-00006 and SAF2012-31187).Résumé
Predicting the metabolic behavior of the human gut microbiota in different contexts is
one of the most promising areas of constraint-based modeling. Recently, we presented
a supra-organismal approach to build context-specific metabolic networks of bacterial
communities using functional and taxonomic assignments of meta-omics data. In this
work, this algorithm is applied to elucidate the metabolic changes induced over the
first year after birth in the gut microbiota of a cohort of Spanish infants. We used
metagenomics data of fecal samples and nutritional data of 13 infants at five time
points. The resulting networks for each time point were analyzed, finding significant
alterations once solid food is introduced in the diet. Our work shows that solid food
leads to a different pattern of output metabolites that can be potentially released from
the gut microbiota to the host. Experimental validation is presented for ferulate, a
neuroprotective metabolite involved in the gut-brain axis.