Editorial: The Response of Mucosal Epithelial Cells to Infections
Notice bibliographique
Résumé
The Response of Mucosal Epithelial Cells to InfectionsMucosal epithelial cells of the respiratory, gastrointestinal, and genital tracts are the initial site of interaction with pathogens.Although initially viewed primarily as functioning as physical barriers to infection, the past several decades have shown a far more complex set of interactions.Pathogens can interact directly with mucosal epithelia, either via specific receptors, or with any of several families of pattern recognition receptors (PRR).These interactions can trigger a wide range of cellular functions, including altering cellular metabolism, regulation of barrier function and the generation of innate immune responses designed to limit infections.The cellular consequences of infection can, however, also exacerbate disease states.The current special issue of the journal covers a number of specific aspects of the interactions of infectious agents with epithelial cells at mucosal surfaces.The papers include insightful review articles as well as a number of original investigations.Six out of the eight manuscripts included in this Research Topic examine the role of airway epithelial cells in the response to inhaled pathogens.Human rhinoviruses (HRV) infections are a major trigger of acute exacerbations of asthma, chronic obstructive pulmonary disease, and cystic fibrosis (Leigh and Proud, 2015).The review by Ganjian et al. provides an overview of rhinoviruses and how they are recognized by human airway epithelial cells (HAE).This includes recognition of HRV replication intermediates by PRR and the proinflammatory and antiviral responses triggered by such interactions.The review also considers various signaling pathways that regulate epithelial responses to HRV infections and discusses differences in responses between cells from normal subjects and those with lower airway diseases, including potential differences in antiviral responses between patient populations.Jamieson et al. focus on the role of epithelial IL-17C, a novel member of the IL-17 family of cytokines, in response to HRV infection.Using highly differentiated HAE they demonstrate that HRV infection triggers production of IL-17C exclusively in the basolateral direction.They further show that basolateral, but not apical, stimulation of HAE with IL-17C led to basolateral release of the neutrophil chemoattractant CXCL1.This suggests that basolateral release of IL-17C during HRV infections can feedback to induce basolateral release of CXCL1 leading to neutrophil recruitment.Since neutrophils correlate with disease severity, IL-17C may be a contributor to increased inflammation and symptoms during infections.An important component of acute exacerbations of lower airway diseases is mucus hypersecretion.Wang et al. showed that infection of differentiated HAE with either of two different strains of HRV increased gene expression of the mucins MUC5AC and MUC5B and caused increased secretion of mucin proteins.They further show that HRV-induced mucin Frontiers in Cellular and Infection Microbiology | www.frontiersin.
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 | 0,004 | 0,013 |
| Méta-épidémiologie (sens strict) | 0,004 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,006 | 0,004 |
| Science ouverte | 0,003 | 0,001 |
| Intégrité de la recherche | 0,011 | 0,012 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,022 | 0,017 |
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 ».