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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 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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.974
Threshold uncertainty score0.351

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 head0.005
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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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