The gut–brain axis in autism spectrum disorder: microbiome dysbiosis, probiotics, and potential mechanisms of action
Bibliographic record
Abstract
The gut–brain axis has garnered significant attention in autism spectrum disorder (ASD) research, particularly focusing on microbiome dysbiosis and probiotics as potential interventions. This abstract explores the interplay between and the mechanisms of action. Individuals with ASD commonly exhibit gut microbiome alterations, implicating dysbiosis in ASD pathogenesis. Probiotics, which are beneficial bacterial supplements, have emerged as a promising therapeutic avenue because of their ability to modulate gut microbiota. Potential mechanisms underlying their efficacy include restoration of microbial balance, regulation of immune responses, and production of neuroactive compounds. Probiotics may mitigate gastrointestinal symptoms and ameliorate behavioural manifestations in ASD by influencing gut microbiota composition. Understanding the intricate connections between the gut and the brain in ASD, along with the therapeutic potential of probiotics, offers promising avenues for intervention. Further research elucidating the specific mechanisms and optimizing probiotic formulations could lead to more effective treatments for individuals with ASD.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".