A211 PROTEOLYTIC CLEAVAGE OF E-CADHERIN BY INFLAMMATORY PROTEASES PRODUCES BIOACTIVE PEPTIDES THAT MODIFY EPITHELIAL FUNCTION
Notice bibliographique
Résumé
The inflammatory microenvironment in the gut contains a variety of proteases from numerous sources including inflammatory cells. We have been studying the ability of proteases to induce a switch in the colonic epithelium from a barrier to a repair phenotype (epithelial to mesenchymal transition [EMT]) characterized by increased migration and disrupted homeostasis. EMT involves the degradation of junctional proteins such as E-cadherin [Ecad], but the mechanisms by which Ecad is lost and the functional consequences of Ecad degradation remain incompletely understood. To test the hypothesis that inflammatory proteases cleave Ecad to produce peptides that alter epithelial homeostasis by altering cell migration, proliferation, or cell death. Ecad cleavage in vitro was determined using Western blot. Recombinant Ecad was incubated with neutrophil elastase [NE] in a cell-free system and 24 peptides identified by mass spectrometry were chosen for high-throughput screening based on frequency of occurrence, p-value scoring, and accessibility of cleavage sites. Peptides were synthesized and tested for biological activity including proliferation, cell death, and cell migration. Murine CMT-93 intestinal epithelial cells were cultured in 96 well plates and wounded 5 days post-confluency using the EssenBio WoundMaker™ tool. Wells were imaged simultaneously with the IncuCyte™ live-cell imaging system for 24–48 hours following exposure to 1, 10, or 100 µg/mL concentrations of peptides. Cells were transfected with a GFP marker to allow automated cell number tracking to measure proliferation. Cytotoxicity was determined using Cytotox dye which binds cells undergoing membrane degradation. All analysis was done using the IncuCyte™ ZOOM platform in conjunction with ImageJ software. Basolateral stimulation of human Caco2 and murine CMT93 cells with NE confirmed the ability of NE to produce C- and N-terminal Ecad fragments in vitro. Of the 24 synthesized Ecad peptides, we identified 10 that significantly influenced wound closure rates both positively and negatively. Two peptides significantly inhibited wound healing rate by 13–26% compared to vehicle controls at a concentration of 100 µg/mL. Six peptides (100 µg/mL) significantly increased wound healing rates by 7–11% and three peptides (10 µg/mL) significantly increased wound healing rates by 6–13% compared to vehicle controls. Preliminary results suggest several of these peptides may also have cytostatic or pro-proliferative activity. Our results suggest that degradation of cell junction proteins by inflammatory proteases can create bioactive peptides that alter epithelial homeostasis and alter cell migration. Our data reveal a novel pathway whereby epithelia respond to inflammatory tissue damage at the cellular level to alter a barrier phenotype to a more dynamic epithelium. CIHR
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».