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Record W3195051342 · doi:10.1289/isee.2021.p-173

Association between mid-childhood gut microbiome and neurocognitive outcomes in GESTE, a Canadian cohort Study

2021· article· en· W3195051342 on OpenAlex
Anna Maria Campana, Hoatian Wu, Yike Shen, Hannah E. Laue, Tess Bloomquist, Jonathan Posner, Larissa Takser, Andrea Baccarelli

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueISEE Conference Abstracts · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsUniFracMicrobiomeCohortNeurocognitiveCohort studyPopulationConfoundingMedicineBiologyDemographyGeneticsCognitionInternal medicinePsychiatryEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND AND AIM: The microbiome is a dynamic ecosystem that may modulate neurodevelopment through the gut-brain axis. Altered microbial gut composition has been linked to childhood temperament and autism, however, to date, no studies estimate the association between the gut microbiome and neurocognitive function in a healthy mid-childhood population METHODS: Participants were 80 Caucasian children from the GESTation and the Environment, GESTE, a longitudinal birth cohort based in Sherbrooke, Canada. At the 6-8 years follow-up visit stool samples were analyzed with 16S rRNA sequencing. Intra-individual (alpha) microbiome diversity was computed using diversity (Shannon and Gini-Simpson) and dominance indices (Simpson and McNaughton’s). Inter-individual microbiome (beta) diversity was calculated using weighted and unweighted UniFrac, Bray-Curtis and Jaccard distances. Furthermore, bacterial phylum and family levels associations were examined. At the same follow-up visit, the children completed the WISC-IV (Wechsler Intelligence Scale for Children) questionnaire which includes seven subtests (block design, coding, total, forward and reverse digit span, information, and vocabulary). The associations between microbiome diversity, bacterial phyla and families and cognitive scores were assessed using generalized linear regression models adjusted for confounders, e.g., sociodemographic characteristics, breastfeeding and mode of delivery. Missing data points were imputed. The results were corrected using FDR method. RESULTS:Among the study cohort, 52% boys, 80% breastfed and 80% born vaginally with mean age, 6.5 years ± 0.5 at follow-up. Lower Shannon (β =-1.05, 95%CI: -1.71-0.39, p=0.02) and Gini-Simpson (β =1.04, 95%CI: -1.77-0.41, p=0.02) indices were associated with better long-term memory. No associations were observed for beta diversity. Higher total digit span was marginally associated with lower Desulfobacterota phylum abundance (β =-0.23, SE:0.09, p=0.09). CONCLUSIONS:Our findings suggest that while a healthier gut as measured by indices of microbial diversity was not associated with improved long-term memory, lower level of Desulfobacterota phylum bacterial taxa may be beneficial for the development of auditory working memory. KEYWORDS: Microbiome, Neurodevelopmental outcomes, Epidemiology.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.245
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.260
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it