Longitudinal analyses of infants’ microbiome and metabolome reveal microbes and metabolites with seemingly coordinated dynamics
Published in Communications Biology, 2024
Recommended citation: Wu H, Guzior DV, Martin C, Neugebauer KA, Rzepka MM, Lumeng JC, Quinn RA, de los Campos G. 2024. Longitudinal analyses of infants microbiome and metabolome reveal microbes and metabolites with seemingly coordinated dynamics. Commun Biol 7:1506. https://doi.org/10.1038/s42003-024-07015-6.
Abstract
Population studies have shown that the infant’s microbiome and metabolome undergo significant changes in early childhood. However, no previous study has investigated how diverse these changes are across subjects and whether the subject-specific dynamics of some microbes correlate with the over-time dynamics of specific metabolites. Using mixed-effects models, and data from the ABC study, we investigated the early childhood dynamics of fecal microbiome and metabolome and identified 83 amplicon sequence variants (ASVs) and 753 metabolites with seemingly coordinated trajectories. Enrichment analysis of these microbes and molecules revealed eight ASV families and 23 metabolite groups involving 1032 ASV-metabolite pairs with their presence-absence changing in a coordinated fashion. Members of the Lachnospiraceae (464/1032) and metabolites related to cholestane steroids (309/1032) dominated proportional shifts within the fecal microbiome and metabolome as infants aged.