| Autor: |
Rodriguez-Herrera A; Instituto Hispalense de Pediatria, Sevilla, Spain., Tims S; Danone Nutricia Research, Utrecht, The Netherlands., Polman J; Danone Nutricia Research, Utrecht, The Netherlands., Porcel Rubio R; Servicio de Pediatría, Hospital Quiron, Barcelona, Spain., Muñoz Hoyos A; Department of Pediatrics, Hospital Clínico Universitario San Cecilio, Granada, Spain., Agosti M; Neonatologia e Terapia Intensiva Neonatale, Polo Universitario F. Del Ponte, Varese, Italy., Lista G; Terapia Intensiva Neonatale, Ospedale dei Bambini Vittore Buzzi, ASST-FBF-Sacco, Milano, Italy., Corvaglia LT; Intensive Therapy Unit, Hospital S. Orsola Malpighi, Bologna, Italy., Knol J; Danone Nutricia Research, Utrecht, The Netherlands.; Department of Microbiology, Wageningen University, Wageningen, The Netherlands., Roeselers G; Danone Nutricia Research, Utrecht, The Netherlands., Pérez Navero JL; Pediatrics Department, Reina Sofia University Hospital, Maimonides Institute for Biomedical Research, CIBERER, Cordoba, Spain. |
| Abstrakt: |
This study examined fecal metabolome dynamics to gain greater functional insights into the interactions between nutrition and the activity of the developing gut microbiota in healthy term-born infants. The fecal samples used here originate from a randomized, controlled, double-blind clinical study that assessed the efficacy of infant formula with prebiotics and postbiotics (experimental arm) compared with a standard infant formula (control arm). A group of exclusively breast-fed term infants was used as a reference arm. First, conventional targeted physiological and microbial measurements were performed, which showed differences in fecal Bifidobacterium levels and corresponding activity (e.g., lactate levels). Next, the overall fecal microbiota composition was determined by 16S rRNA gene amplicon sequencing. The microbiota composition profiles showed several bacterial groups in the experimental arm to be significantly different from the control arm and mostly closer to the levels observed in the reference arm. Finally, we applied an untargeted UPLC-MS/MS approach to examine changes in the fecal metabolome. Fecal metabolome profiles showed the most distinct separation, up to 404 significantly different metabolites, between the study arms. Our data reveal that infant formula with specific prebiotics and postbiotics may trigger responses in the intestinal microbiota composition that brings the ensuing fecal metabolite profile of formula-fed infants closer toward those observed in breast-fed infants. Furthermore, our results demonstrate a clear need for establishing an infant gut metabolome reference database to translate these metabolite profile dynamics into functional and physiologically relevant responses. NEW & NOTEWORTHY Untargeted metabolomics techniques can provide a "snapshot" of an ecosystem in response to environmental stimuli, such as nutritional interventions. Our analyses of fecal samples from infants demonstrate the potential of phenotyping by metabolomics while deciphering the complex interactions of early-life nutrition and gut microbiome development. |
