2020
DOI: 10.1101/2020.02.13.944181
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Gut-resident microorganisms and their genes are associated with cognition and neuroanatomy in children

Abstract: Both the brain and microbiome of humans develop rapidly in the first years of life, enabling extensive signaling between the gut and central nervous system (dubbed the “microbiome-gut-brain axis”). Emerging evidence implicates gut microorganisms and microbiota composition in cognitive outcomes and neurodevelopmental disorders (e.g., autism), but the influence of gut microbial metabolism on typical neurodevelopment has not been explored in detail. We investigated the relationship of the microbiome with the neur… Show more

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Cited by 6 publications
(7 citation statements)
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“…Finally, we used the five HMO-metabolizing gene clusters to distinguish B. infantis from the rest of the B. longum subspecies in the gut microbiomes of human children using fecal samples in the RESONANCE cohort of young, healthy children [ 40 ]. We applied the specificity of this HMO-metabolizing cluster to identify B. infantis from metagenomic analysis of 1092 fecal samples.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Finally, we used the five HMO-metabolizing gene clusters to distinguish B. infantis from the rest of the B. longum subspecies in the gut microbiomes of human children using fecal samples in the RESONANCE cohort of young, healthy children [ 40 ]. We applied the specificity of this HMO-metabolizing cluster to identify B. infantis from metagenomic analysis of 1092 fecal samples.…”
Section: Resultsmentioning
confidence: 99%
“…Metagenome data were deposited in NCBI’s Sequence Read Archive (SRA), under BioProject PRJNA695570 and accession numbers SAMN17618458-9435. Code for data analysis, statistics, and figures generated for this manuscript is available on OSF.io [ 40 ].…”
mentioning
confidence: 99%
“…Finally, we used the five HMO-metabolizing gene clusters to distinguish B. infantis from the rest of the B. longum subspecies in the gut microbiomes of human children using fecal samples in the RESONANCE cohort of young, healthy children (Bonham et al, 2020). We applied the specificity of this HMO-metabolizing cluster to identify B. infantis from metagenomic analysis of our samples.…”
Section: Resultsmentioning
confidence: 99%
“…Data Availability Statement: Metagenome data were deposited in NCBI's Sequence Read Archive (SRA), under BioProject PRJNA695570 and accession numbers SAMN17618458-9435. Code for data analysis, statistics, and figures generated for this manuscript is available on OSF.io [40].…”
Section: Institutional Review Board Statementmentioning
confidence: 99%
“…Data and materials availability: All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials. Taxonomic and functional microbial profiles, as well as subject demographics necessary for statistical analyses and machine learning, are available on the Data Dryad (81). Data processing, generation of summary statistics, and generation of plots were performed using the julia programming language and third-party packages (74,75,(82)(83)(84)(85)(86).…”
Section: Supplementary Materialsmentioning
confidence: 99%