Microbiome-Modulated Metabolites at the Interface of Host Immunity
Bibliographic record
Abstract
The mammalian gastrointestinal tract and associated mucosal immune system harbor a large repertoire of metabolites of prokaryotic and eukaryotic origin that play important roles in eukaryotic development and physiology. These often bioactive small molecules originate from nutrition- and environmental-related sources, or are endogenously produced and modulated by the host and its microbiota. A complex network of interactions exists between the intestinal mucosal immune system and the microbiota. This intimate cross-talk may be driven by metabolite secretion and signaling, and features profound influences on host immunity and physiology, including the endocrine, metabolic, and nervous system function in health and disease. Alterations in microbiome-associated metabolite levels and activity are implicated in the pathogenesis of a growing number of illnesses. In this review we discuss the origin and influence of microbiome-modulated metabolites, with an emphasis on immune cell development and function. We further highlight the emerging data potentially implicating metabolite misbalance with host-microbiome-associated disease.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".