Peripheral serotonin: cultivating companionship with gut microbiota in intestinal homeostasis
Bibliographic record
Abstract
Serotonin, also known as 5-hydroxytryptamine (5-HT), is an evolutionarily ancient and phylogenetically conserved monoamine that regulates multifaceted physiological functions in mammals. 5-HT was, at one time, most extensively studied as a neurotransmitter within the central nervous system but is now known to regulate nonneuronal functions including immune responses in an autocrine-paracrine-endocrine manner. Compelling evidence from intervention studies using germ-free mice or antibiotic-associated microbiota perturbation suggests that novel interactions between 5-HT and the gut microbiota are essential in maintaining intestinal homeostasis. Importantly, recent studies reveal that bidirectional host-microbial interactions mediated by the host serotonergic system can promote distinct changes within the gut microbiota. These changes may potentially lead to a state known as "dysbiosis" that has been strongly associated with various gut pathologies including inflammatory bowel disease (IBD). In this review, we update the current understanding of host-microbiota interaction by focusing on the impact of peripheral 5-HT signaling within this dynamic. We also briefly highlight key environmental risk factors for IBD, such as the Western diet, and draw attention to the interaction of synthetic food colorants with 5-HT signaling that may facilitate future research.
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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 | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".