Recent Advances in the Role of Probiotics in Human Inflammation and Gut Health
Bibliographic record
Abstract
The gastrointestinal (GI) tract provides residence to an astounding number of bacterial species, which have profound effects on host biology, function, physiology, and immune response. Discovery of "symbiosis factors" from symbionts that facilitate the peaceful coexistence of microbiota and the host immune system are of interest. Symbionts synthesize immunomodulatory molecules that guide maturation of the immune system and have pivotal roles in many biological processes; however, individuals differ in the makeup of their GI microbiota, which is influenced by many external and internal factors such as diet, antibiotic use, and host genetics, which in turn influences health and disease outcomes. Various endogenous, genetic, and environmental factors influence GI development including species composition and health status of neonates, resulting in interactions that occur between the bacteria and the host. Mechanisms of probiotics involved in homeostasis of a balanced immune system have been inconclusive. The probable mechanism of action may be postulated as direct competition between pathogenic bacteria in the gut and/or immune modulation. This review focuses on probiotics in health and disease prevention, especially the biological importance of intestinal regulation of inflammatory processes that may be beneficial in a multitude of disorders both inside and outside the GI tract.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".