Commensal communication to the brain: pathways and behavioral consequences
Bibliographic record
Abstract
In recent years there has been an explosion of investigation of the microbiota which constitutes the gut microbiome. The trillions of bacteria which together make this up are engaged in multiple interactions with each other and the host in which they live. Indeed, they have been regarded as an additional organ within the external compartment of the body which influences the endocrine, metabolic and immune functions of the host. It has only recently received attention from the point of view of influence on the nervous system and this aspect has received the title ‘microbiome-gut-brain axis’. This brief paper highlights some of the recent findings which promote the functional importance of this communication between gut commensals and the enteric and central nervous systems and was part of a lecture given recently at a meeting at the Karolinska Institutet, focused on ‘The Gut and The Brain’, with focus on Autism Spectrum Disorder (ASD). Keywords: probiotics; enteric nervous system; behaviour; autism; brain (Published: 24 August 2012) Citation: Microbial Ecology in Health & Disease 2012, 23 : 19007 - http://dx.doi.org/10.3402/mehd.v23i0.19007
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".