MétaCan
Menu
Back to cohort
Record W4405994964 · doi:10.1080/19420889.2024.2446332

The overlooked role of microbiota-gut-brain communication in child psychiatry: a call for integration in early intervention strategies

2025· article· en· W4405994964 on OpenAlex
Sunny Cui, Mubtaseem Aronno, Leah Snodgrass

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

VenueCommunicative & Integrative Biology · 2025
Typearticle
Languageen
FieldHealth Professions
TopicInfant Health and Development
Canadian institutionsWestern University
FundersDartmouth College
KeywordsIntervention (counseling)Gut floraMedicinePsychiatryBioinformaticsPsychologyNeuroscienceIntensive care medicineBiologyImmunology

Abstract

fetched live from OpenAlex

Emerging research has highlighted the significant role of microbiota-gut-brain communication in child psychiatric disorders, including autism spectrum disorder (ASD) and anxiety disorders. Despite this, mainstream psychiatric interventions for children continue to focus predominantly on neurological and psychological therapies, neglecting the critical influence of gut microbiota on brain development and behavior. This commentary underscores the need for greater integration of microbiota-targeted therapies, such as dietary interventions, prebiotics, and probiotics, into early psychiatric intervention strategies. By addressing the gut-brain axis as a key component of neurodevelopmental and psychiatric outcomes, clinicians can adopt a more holistic and biologically informed approach to treatment. We propose that future research and clinical practice should prioritize interdisciplinary collaboration to explore how microbiota-based treatments can be incorporated into existing child psychiatry frameworks, offering new avenues for improving long-term mental health outcomes.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.733
Threshold uncertainty score0.950

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.424
Teacher spread0.403 · 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