The Mechanisms of Immune System Regulation by Probiotics in Immune-Related Diseases
Bibliographic record
Abstract
Probiotics are live microorganisms which when administered in adequate amounts, may confer a health benefit on the host. Stimulation and regulation of immune system is among well documented benefits claimed for probiotics. Both innate and adaptive immune system can be regulated by these microorganisms. Effects of probiotics on immune system are significantly dependent on the strain, dosage and the investigated condition. In this article the mechanisms through which probiotics may regulate immune system were reviewed. These mechanisms are consist of blockage of adhesion sites for pathogenic bacteria, competition for nutrients, production of inhibitory compounds, degradation of the toxin receptors in the mucosa membrane, activation of phagocytic and natural killer cells as well as regulation of cellular and humoral immunity. Also the immune-related diseases including immune deficiency (Acquired immunodeficiency syndrome) and hypersensitivity (allergy, inflammatory bowel disease, diabetes mellitus type 1 and rheumatoid arthritis) were discussed
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".