Sensitization of Peripheral Sensory Nerves by Mediators From Colonic Biopsies of Diarrhea-Predominant Irritable Bowel Syndrome Patients: A Role for PAR2
Bibliographic record
Abstract
OBJECTIVES: This study examined whether mediators from biopsies of human irritable bowel syndrome (IBS) colons alter intrinsic excitability of colonic nociceptive dorsal root ganglion (DRG) neurons by a protease activated receptor 2 (PAR2)-mediated mechanism. METHODS: Colonic mucosal biopsies from IBS patients with constipation (IBS-C) or diarrhea (IBS-D) and from healthy controls were incubated in medium, and supernatants were collected. Small-diameter mouse colonic DRG neurons were incubated in supernatants overnight and perforated patch current-clamp recordings obtained. Measurements of rheobase and action potential discharge at twice rheobase were compared between IBS and controls to assess differences in intrinsic excitability. RESULTS: Supernatants from IBS-D patients elicited a marked increase in neuronal excitability compared with controls. These changes were consistent among individual patients but the relative contribution of rheobase and action potential discharge varied. In contrast, no differences in neuronal excitability were seen with IBS-C patient supernatants. The increased excitability seen with IBS-D supernatant was not observed in PAR2 knockout mice. A cysteine protease inhibitor, which had no effect on the pronociceptive actions of a serine protease, inhibited the proexcitatory actions of IBS-D supernatant. CONCLUSIONS: Soluble mediators from colonic biopsies from IBS-D but not IBS-C patients sensitized colonic nociceptive DRG neurons, suggesting differences between these two groups. PAR2 signaling plays a role in this action and this protease signaling pathway could provide novel biomarkers and therapeutic targets for treatment.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".