One more role for the gut: microbiota and blood brain barrier.
Bibliographic record
Abstract
The gut microbiota is composed of trillions of microbes that perform several tasks which are essential to our physiology. Recent emerging evidences have suggested the important contribution of gut microbiota in several biological functions of mamals, such as the regulation of the immune system, metabolism, intestinal development or brain physiology (1-4). In fact, recent work, mainly performed in experimental model of Multiple Sclerosis (MS), have demonstrated that resident commensal microbiota can modulate central nervous system (CNS) autoimmunity (5-8). The microbiota is now known to shift the balance between protective and pathogenic immune responses, in the CNS, but also in other organs. A growing body of evidence in animal support also the concept that the gut microbiota influences emotional behavior (9,10) and that its products and metabolites may promote metabolic effects such as reduced body weight, reduced adiposity, and improved glucose control (11). As regards, CNS physiology, the gut microbiota influence synaptogenesis, regulate neurotransmitters and neurotrophic factors release and function (4).
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.028 | 0.003 |
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".