Mast cells release cytokines in response to mediators produced by virus-infected epithelial cellss
Notice bibliographique
Résumé
Background: Mast cells have long been recognized for their involvement in allergic diseases. In the last decade, the importance of mast cells in innate responses against bacteria has been established, but little is known about their contribution in viral infections. Mast cells are abundant at mucosal surfaces such as the lungs in close proximity to the epithelium. In the lung, the epithelium is a primary target for viral infections. Mast cells are secondarily exposed to newly formed virions released from epithelial cells. Mast cells have toll-like receptors (TLRs) that detect various pathogen components. Our first hypothesis is that viral TLR agonists will induce mast cells to release cytokines thought to be involved in viral infections. Both the pro-inflammatory cytokine IL-6 and the chemokine IL-8 are produced during viral infections. TGF-β is an immunoregulatory cytokine that modulates the activity of various immune cells and could also play a role in viral infections. Methods: We used polyI:C, a synthetic double-stranded RNA (dsRNA), as a TLR3 agonist, loxoribine as a TLR7 agonist, and unmethylated CpG DNA as a TLR9 agonist. We treated mast cells from the cell line HMC-1 (Human Mast cell-1) for 0.5 – 24hr with the TLR agonists and performed dose response studies for all stimuli. Supernatants from treated mast cells were measured for IL-6, IL-8, and TGF-β by ELISA. Results: Cytokine release was highest at the 24hr time point. Mast cells released IL-6, IL-8, and TGF-β in response to the TLR3 agonist polyI:C in a dose-dependent manner, but not to the other viral TLR agonists. PolyI:C (10μg/mL) versus unstimulated controls significantly increased mast cell release of IL-6 (224.7±57.4 vs. 39.0±5.7, p≤0.001) and TGF-β (240.2±28.9 vs. 116.1±16.7, p≤0.05). PolyI:C induced release of IL-8 from mast cells was increased but not significant. Viral exposure also induces epithelial cells to produce type I interferons, IFNα and β. These interferons have potent antiviral activity, but also have effects on mast cells, decreasing mast cell adhesion to extracellular matrix and reducing co-stimulatory activity on T cells. Our second hypothesis is that IFNα and β will induce mast cells to release cytokines similar to stimulation with polyI:C. Our preliminary data showed that IFNα, IFNβ , and IFNα and β in combination induced a low level of IL-8 and TGF-β release from mast cells, but had no effect on IL-6 release. Conclusion: HMC-1 responds to dsRNA, a TLR3 agonist produced in epithelial cells during viral replication, by releasing IL-6 and TGF-β. HMC-1 also responds to IFNα and β by releasing IL-8 and TGF-β, indicating that human mast cells respond to epithelial mediators produced during viral infections. Our results show that mast cells contribute to the innate response against viruses by responding to mediators released by virus-infected epithelial cells.
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 | 0,001 |
| 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 | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».