From the gut to the brain: Potential novel avenues for IBD treatment via serotonergic pathways
Bibliographic record
Abstract
Inflammatory bowel disease (IBD) is an idiopathic condition characterised by chronic relapsing intestinal inflammation, affecting approximately 6.8 million people globally. Crohn's disease and ulcerative colitis are two main subtypes. The microbiota in IBD patients has been extensively researched, and dysbiosis is associated with IBD onset. While current treatments reduce morbidity and improve the quality of life of IBD patients, they have strong anti-inflammatory effects, creating an immunosuppressed environment and increase the risk of comorbidities, highlighting the need for better therapeutics. The gut-brain axis (GBA) communication pathway allows bidirectional neural, hormonal, metabolic, immunological and microbial signalling. This review investigates the signalling pathways across the GBA and explores how dysbiosis, neuroinflammation and serotonergic dysregulation are interlinked and may contribute to IBD pathogenesis and neurological comorbidities. Focusing on the immunomodulation of serotonergic signalling and proposed mechanisms of action of psychotropic drugs, including antidepressants and psychedelic compounds, we highlight the serotonergic signalling pathway as a potential novel therapeutic target for IBD combination therapy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".