Colonic MUC2 Mucin Is Stabilized By FCGBP To Resist <i>Salmonella Enterica</i> Invasion In Goblet Cells
Notice bibliographique
Résumé
MUC2 mucin produced by goblet cells form the colonic mucus bilayer as the first line of innate defense against pathogen invasion by forming a physical barrier between the lumen and the underlying single layer of mucosal epithelial cells. Goblet cells also produce a variety of proteins that are associated with the mucus layer. Of these proteins, FCGBP is of significant interest due to its structural similarities to MUC2 mucin with unknown functions. In this study, we elucidated the putative functions of FCGBP embedded in MUC2 mucin in response to Salmonella enterica adherence and invasion in human colonic goblet cells. We hypothesis that FCGBP is coordinately produced with MUC2 mucin to play an integral role in forming the protective mucus layer in innate host defense. The aims of the study are: 1) to determine if FCGBP alters the structural integrity of the mucus layer and 2) to quantify structural alterations of the mucus layer in S. enterica adherence and invasion of goblet cells. To investigate whether FCGBP impaired mucus barrier functions, two cell types were investigated: Wildtype LS174T (WT) MUC2 mucus‐producing goblet cells and LS174T cells with a missense mutation in FCGBP (FCGBP MS). To determine if FCGBP MS led to loss in barrier function in the mucus layer, S. enterica adherence and invasion, and 0.2, 1, and 2 µM fluorescent bead penetrability inoculated on WT and FCGBP MS monolayers were quantified. MUC2 and FCGBP mRNA and protein expression induced by S. enterica in WT and FCGBP MS goblet cells were analysed by RT‐PCR and Western blotting. Cell killing by S. enterica was determined by LDH assay. S. enterica induced pro‐inflammatory cytokines responses were analyzed by RT‐PCR and human focus 15‐plex cytokine and chemokine array. FCGBP MS cells exhibited significant loss in MUC2 mucus barrier function as quantified by fluorescent beads penetrability further towards the epithelial cell surface temporally as compared to WT cells independent of bead size. Adherence of live S. enterica was significantly increased in FCGBP MS but not WT cells and induced robust MUC2 mRNA expression and mucus secretion in a time‐dependent manner. Similarly, S. enterica elicited high expression of pro‐inflammatory cytokine mRNA and protein release in FCGBP MS as compared to WT cells. FCGBP MS were readily invaded by S. enterica that resulted in increased cell death as compared to WT cells. More S. enterica adhered, invaded, and killed FCGBP MS as compared to WT cells. Fluorescent beads penetrated the mucus layer closer to the cell surface in FCGBP MS cells. In WT goblet cells, FCGBP and MUC2 were coordinately upregulated in response to S. enterica . The concurrent increase in pro‐inflammatory cytokine expression in FCGBP MS cells in response to S. enterica suggests that bacteria directly interacted with the cell surface suggesting an impaired protective mucus layer. The overall trend for increased bacterial invasion, pro‐inflammatory response, and cell death in FCGBP MS demonstrates that FCGBP was critical in providing structural integrity of the mucus layer.
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) | 0,000 | 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) | 0,001 | 0,000 |
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 ».