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Record W4417407038 · doi:10.1016/j.yhbeh.2025.105867

Autism and hormones: A perspective from the immune system and the gut microbiome

2025· article· en· W4417407038 on OpenAlexafffund
Charles Veilleux, Emine Defne Erenben, Nafissa Ismail

Bibliographic record

VenueHormones and Behavior · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsImmune systemAutism spectrum disorderAutismDysbiosisGut–brain axisMicrobiomeGut microbiomeImmune dysregulation

Abstract

fetched live from OpenAlex

Autism Spectrum Disorder (ASD) affects 2.7 % of individuals worldwide, and it is characterized by abnormal social interactions, communication deficits, restricted interactions, and repetitive behaviors. This disorder appears early in life, and it has been diagnosed more frequently in males than in females. Several factors have been shown to be associated with the onset of ASD. However, the mechanisms underlying the onset of this neurodevelopmental disorder and the higher prevalence in males remain unclear. This review discusses the role of hormonal imbalances, immune system activation during the prenatal (maternal immune activation) and the neonatal periods (neonatal immune activation), immune dysregulation and gut dysbiosis in the development of ASD. It also highlights the many interactions between these systems and demonstrates the true complexity of this disorder.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.241
Teacher spread0.236 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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