Food-breastmilk combinations alter the colonic microbiome of weaning infants: an in silico study

dc.citation.issue9
dc.citation.volume9
dc.contributor.authorda Silva VG
dc.contributor.authorSmith NW
dc.contributor.authorMullaney JA
dc.contributor.authorWall C
dc.contributor.authorRoy NC
dc.contributor.authorMcNabb WC
dc.contributor.editorGarrido D
dc.coverage.spatialUnited States
dc.date.accessioned2024-10-13T22:27:40Z
dc.date.available2024-10-13T22:27:40Z
dc.date.issued2024-09
dc.description.abstractThe introduction of solid foods to infants, also known as weaning, is a critical point for the development of the complex microbial community inhabiting the human colon, impacting host physiology in infancy and later in life. This research investigated in silico the impact of food-breastmilk combinations on growth and metabolite production by colonic microbes of New Zealand weaning infants using the metagenome-scale metabolic model named Microbial Community. Eighty-nine foods were individually combined with breastmilk, and the 12 combinations with the strongest influence on the microbial production of short-chain fatty acids (SCFAs) and branched-chain fatty acids (BCFAs) were identified. Fiber-rich and polyphenol-rich foods, like pumpkin and blackcurrant, resulted in the greatest increase in predicted fluxes of total SCFAs and individual fluxes of propionate and acetate when combined, respectively, with breastmilk. Identified foods were further combined with other foods and breastmilk, resulting in 66 multiple food-breastmilk combinations. These combinations altered in silico the impact of individual foods on the microbial production of SCFAs and BCFAs, suggesting that the interaction between the dietary compounds composing a meal is the key factor influencing colonic microbes. Blackcurrant combined with other foods and breastmilk promoted the greatest increase in the production of acetate and total SCFAs, while pork combined with other foods and breastmilk decreased the production of total BCFAs. IMPORTANCE Little is known about the influence of complementary foods on the colonic microbiome of weaning infants. Traditional in vitro and in vivo microbiome methods are limited by their resource-consuming concerns. Modeling approaches represent a promising complementary tool to provide insights into the behavior of microbial communities. This study evaluated how foods combined with other foods and human milk affect the production of short-chain fatty acids and branched-chain fatty acids by colonic microbes of weaning infants using a rapid and inexpensive in silico approach. Foods and food combinations identified here are candidates for future experimental investigations, helping to fill a crucial knowledge gap in infant nutrition.
dc.description.confidentialfalse
dc.edition.editionSeptember 2024
dc.format.paginatione0057724-
dc.identifier.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/39191378
dc.identifier.citationda Silva VG, Smith NW, Mullaney JA, Wall C, Roy NC, McNabb WC. (2024). Food-breastmilk combinations alter the colonic microbiome of weaning infants: an in silico study.. mSystems. 9. 9. (pp. e0057724-).
dc.identifier.doi10.1128/msystems.00577-24
dc.identifier.eissn2379-5077
dc.identifier.elements-typejournal-article
dc.identifier.issn2379-5077
dc.identifier.numbere0057724
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/71697
dc.languageeng
dc.publisherAmerican Society for Microbiology
dc.publisher.urihttps://journals.asm.org/doi/10.1128/msystems.00577-24
dc.relation.isPartOfmSystems
dc.rights(c) The author/sen
dc.rights.licenseCC BYen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectfood
dc.subjectgut microbiome
dc.subjectin silico
dc.subjectinfant
dc.subjectHumans
dc.subjectMilk, Human
dc.subjectGastrointestinal Microbiome
dc.subjectInfant
dc.subjectWeaning
dc.subjectColon
dc.subjectComputer Simulation
dc.subjectFatty Acids, Volatile
dc.titleFood-breastmilk combinations alter the colonic microbiome of weaning infants: an in silico study
dc.typeJournal article
pubs.elements-id491304
pubs.organisational-groupOther
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