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Record W4412714302 · doi:10.1016/j.bbih.2025.101063

Associations between the gut microbiota at one-year and neurodevelopment in children from the SEPAGES cohort

2025· article· en· W4412714302 on OpenAlex

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.

Bibliographic record

VenueBrain Behavior & Immunity - Health · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsUniversité LavalCentre hospitalier universitaire de Québec
FundersEuropean Research CouncilSeventh Framework ProgrammeSamuel H. French and Katherine Weaver French FundAgence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du TravailH2020 European Research CouncilCentre National de la Recherche ScientifiqueInstitut National de la Santé et de la Recherche MédicaleHorizon 2020 Framework ProgrammeNorges ForskningsrådAgence Nationale de la RechercheAustralian Prime Ministers CentreUniversité Grenoble AlpesFondation de FranceCentre Hospitalier, Université Grenoble Alpes
KeywordsCohortGut floraMedicineDevelopmental psychologyPsychologyPediatricsBiologyInternal medicineImmunology

Abstract

fetched live from OpenAlex

Fundamental research indicates a communication between the gut microbiota and the central nervous system, referred to as the microbiota-gut-brain axis. This link is little characterized in humans in the general population. We prospectively investigated the relationships between the gut microbiota composition of one-year-old children and neurodevelopment parameters at 2 and 3 years of age. Within the SEPAGES French couple-child cohort, we profiled gut microbiota by sequencing the V3-V4 region of the 16S rRNA gene from stool samples in 356 children at 12 months of age. We later assessed children's neurodevelopment through validated tests (CBCL at 2 years, and SRS-2, BRIEF-P and WPPSI-IV at 3 years). Microbial α-diversity indices, the 4 most abundant phyla, and the 46 most abundant genera were analyzed for their relations with neurodevelopmental parameters using multiple linear regression, while associations of β-diversity with neurodevelopment were examined through PERMANOVA tests. α- and β-diversity indices were not associated with neurodevelopmental parameters in children. Suggestive associations were observed with taxonomy, but not maintained after correction for multiple comparisons: phyla Proteobacteria and Bacteroidetes tended to be associated with higher socio-emotional neurodevelopment assessed with different sub-scores; phylum Firmicutes with increased plan and organization problems; genera Lactococcus , Coprococcus, Oscillibacter, Clostridium XVIII , Veillonella, Parabacteroides, Subdoligranulum and Saccharibacteria genera incertae sedis with lower socio-emotional neurodevelopment, while genera Enterococcus and Butyricicoccus tended to be associated with higher socio-emotional neurodevelopment, assessed with different sub-scores. Within this generally healthy population, only suggestive associations were observed between gut microbiota composition and neurodevelopmental scores at 2 and 3 years. Larger studies are needed to examine a possibly weak link between the gut microbiota of one-year-old children and their neurodevelopment. • We investigated the link between infant gut microbiota and neurodevelopmental scores. • α- and β-diversity indices were not associated with neurodevelopmental scores. • Suggestive associations of gut microbiota with neurodevelopmental scores were seen. • These associations were not maintained after correction for multiple comparisons. • Larger prospective studies are needed to examine a possibly weak link.

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)0.001
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 score0.059
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.017
GPT teacher head0.296
Teacher spread0.280 · 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