Giardia duodenalis cysteine proteases cleave proteinase-activated receptor-2 to regulate intestinal goblet cell mucin gene expression
Bibliographic record
Abstract
Giardia duodenalis cysteine proteases have been identified as key virulence factors and have been implicated in alterations to intestinal goblet cell activity and mucus production during Giardia infection. The present findings demonstrate a novel mechanism by which Giardia cysteine proteases modulate goblet cell activity via cleavage and activation of protease-activated receptor 2. Giardia duodenalis (assemblage A) increased MUC2 mucin gene expression in human colonic epithelial cells in a manner dependent upon both protease-activated receptor 2 activation and Giardia cysteine protease activity. Protease-activated receptor 2 cleavage within the N-terminal activation domain by Giardia proteases was confirmed using a nano-luciferase tagged recombinant protease-activated receptor 2. In keeping with these observations, the synthetic protease-activated receptor 2-activating peptide 2fLIGRLO-amide increased Muc2 gene expression in a time-dependent manner. Calcium chelation and inhibition of the ERK1/2 mitogen activated protein kinase pathway inhibited Muc2 upregulation during Giardia infection, consistent with canonical protease-activated receptor 2 signaling pathways. Giardia cysteine proteases cleaved both recombinant protease-activated receptor 1 and protease-activated receptor 2 within their extracellular activation domains with isolate-dependent efficiency that correlated with the production of cysteine protease activity. Protease-activated receptors represent a novel target for Giardia cysteine proteases, and these findings demonstrate that protease-activated receptor 2 can regulate mucin gene expression in intestinal goblet cells.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 teacher head, 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".