PT  - JOURNAL ARTICLE
AU  - Telmo Blasco
AU  - Sergio Pérez-Burillo
AU  - Francesco Balzerani
AU  - Alberto Lerma-Aguilera
AU  - Daniel Hinojosa-Nogueira
AU  - Silvia Pastoriza
AU  - María José Gosalbes
AU  - Nuria Jiménez-Hernández
AU  - M. Pilar Francino
AU  - José Ángel Rufián-Henares
AU  - Iñigo Apaolaza
AU  - Francisco J. Planes
TI  - An extended reconstruction of human gut microbiota metabolism for personalized nutrition
AID  - 10.1101/2020.10.23.350462
DP  - 2020 Jan 01
TA  - bioRxiv
PG  - 2020.10.23.350462
4099  - http://biorxiv.org/content/early/2020/10/23/2020.10.23.350462.short
4100  - http://biorxiv.org/content/early/2020/10/23/2020.10.23.350462.full
AB  - Understanding how diet and gut microbiota interact in the context of human health is a key question in personalized nutrition. Genome-scale metabolic networks and constraint-based modeling approaches are promising to systematically address this complex question. However, when applied to nutritional questions, a major issue in existing reconstructions is the lack of information about degradation pathways of relevant nutrients in the diet that are metabolized by the gut microbiota. Here, we present AGREDA, an extended reconstruction of the human gut microbiota metabolism for personalized nutrition. AGREDA includes the degradation pathways of 231 nutrients present in the human diet and allows us to more comprehensively simulate the interplay between food and gut microbiota. We show that AGREDA is more accurate than existing reconstructions in predicting output metabolites of the gut microbiota. Finally, using AGREDA, we established relevant metabolic differences among clinical subgroups of Spanish children: lean, obese, allergic to foods and celiac.Competing Interest StatementThe authors have declared no competing interest.