Chymotrypsin activity signals to intestinal epithelium by Protease-Activated Receptor-dependent mechanisms
Bibliographic record
Abstract
Background and purpose Chymotrypsin is a serine protease produced by the pancreas and secreted into the lumen of the small intestine, where it digests food proteins. Due to its presence in the gut lumen, we hypothesized that chymotrypsin activity may be found close to epithelial cells and signals to them via Protease-activated receptors (PARs). We deciphered molecular pharmacology mechanisms for chymotrypsin signaling in intestinal epithelial cells. Experimental approaches The presence and activity of chymotrypsin were evaluated by western blot (WB) and enzymatic activity tests in luminal and mucosal compartments of murine and human gut samples. The ability of chymotrypsin to cleave the extracellular domain of PAR1 or PAR2 was assessed using cell lines expressing N-terminally-tagged receptors. The cleavage site of chymotrypsin on PAR1 and PAR2 was determined by HPLC-MS analysis. To study the pharmacology of chymotrypsin signals, we investigated calcium signaling and ERK1/2 activation using calcium mobilization assays and WB in CMT93 intestinal epithelial cells. Key results We found that chymotrypsin was present and active in the vicinity of the murine and human colonic epithelium. Molecular pharmacology studies evidenced that chymotrypsin cleaved both PARs receptors. While chymotrypsin activated calcium and ERK1/2 signaling pathways through PAR2, it disarmed PAR1, preventing further activation by its canonical agonist thrombin. CONCLUSION Our work suggests that the function of chymotrypsin in the gut lumen goes well beyond a simple digestive role. Our results highlight the ability of chymotrypsin to signal to intestinal epithelial cells via PARs, which may have important physiological consequences in gut homeostasis.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".