MétaCan
Menu
Back to cohort
Record W4414153058 · doi:10.1016/j.identj.2025.100957

Autism and the Oral Microbiome: A Systematic Review of Host-microbial Interactions and Diversity

2025· review· en· W4414153058 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Dental Journal · 2025
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsnot available
FundersFaculty of Dentistry, Chulalongkorn UniversityThailand Science Research and InnovationHealth Systems Research InstituteChulalongkorn University
KeywordsAutismAffect (linguistics)Diversity (politics)Oral MicrobiomeMicrobiomeMEDLINELongitudinal studyOral health

Abstract

fetched live from OpenAlex

BACKGROUND: Emerging evidence suggests a link between the oral microbiome and autism spectrum disorder (ASD), a neurodevelopmental condition characterised by social and behavioural impairments. The vast microbial reservoirs in the gut complement those of the oral cavity, suggesting a potential oral-gut-brain axis that may influence ASD and perhaps other neurological diseases, such as Parkinson's syndrome and Alzheimer's disease. For the first time, this systematic review synthesises the current knowledge of oral microbiome composition, diversity, and functionality in ASD and its potential diagnostic and therapeutic implications. METHODS: A comprehensive literature search was conducted using Medline (PubMed), Embase, Scopus, and Google Scholar for peer-reviewed case-control and cross-sectional studies published between January 2000 and January 2025. Study quality was assessed using the Newcastle-Ottawa scale. RESULTS: Nine studies (n = 8533; 2536 ASD and 5937 controls) met the inclusion criteria. The overall findings on microbial diversity were inconsistent; some studies reported alterations in ASD, while others found no significant differences. Functional profiling revealed enrichment of pathways involved in dopamine and GABA degradation, as well as disruptions in lysine metabolism, suggesting possible links to neurotransmitter imbalances in ASD. Although external factors such as selective eating, oral hygiene, and cognitive function were proposed to influence microbial profiles, statistical evidence supporting these associations was lacking. Moreover, no consistent link was found between oral microbiota features and core ASD symptoms like repetitive behaviours or communication deficits. CONCLUSION: This review highlights subtle yet potentially significant alterations in the oral microbiome of individuals with ASD, particularly in metabolic pathways that affect neurotransmitters. While direct associations with clinical symptoms remain unsubstantiated, the findings emphasise the importance of future multi-omics and longitudinal studies to clarify the oral microbiome's role in ASD pathophysiology and to explore its potential in personalised therapeutic strategies.

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: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.280
Threshold uncertainty score0.506

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.326
Teacher spread0.314 · 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