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Enregistrement W1989730519 · doi:10.1159/000353914

Airway Remodeling in Asthma: Tumor of the Airway?

2013· letter· en· W1989730519 sur OpenAlexaff
Chun Y. Seow, Stephan van Eeden

Notice bibliographique

RevueRespiration · 2013
Typeletter
Langueen
DomaineMedicine
ThématiqueAsthma and respiratory diseases
Établissements canadiensBGC Engineering (Canada)University of British Columbia
Organismes subventionnairesnon disponible
Mots-clésZileutonMedicineLeukotrieneMontelukastAsthmaOvalbuminLeukotriene receptorInflammationAirwayLungImmunologyExhaled breath condensateArachidonate 5-lipoxygenaseArachidonic acidInternal medicineAnesthesiaEnzymeImmune systemChemistryBiochemistry

Résumé

récupéré en direct d'OpenAlex

A thickened airway wall with increased airway smooth muscle mass and extracellular matrix deposition as a result of airway remodeling is a hallmark of persistent asthma. The mechanism underlying the remodeling process is not entirely clear. It is thought that the chronic airway inflammation seen in asthma is a major contributor, but anti-inflammatory strategies often do not bring resolution to airway remodeling [1]. Findings reported by Chen et al. [2] in this issue of Respiration explore the effects of the leukotriene inhibitor (zileuton) on airway remodeling in an ovalbumin-sensitized rat model and revealed that downstream pathways of leukotriene stimulation contribute to airway remodeling. Furthermore, the leukotriene signaling appears to follow the same pathways as those considered to be linked to tumorigenesis [3,4]. These findings suggest a common mechanism underlying the increase in airway tissue mass seen in chronic asthma and the tumor growth seen in malignancy.The primary components of asthma treatment separately target acute airway obstruction and chronic airway inflammation. Bronchodilators (predominately β2 agonists) are used to treat the acute symptoms and corticosteroids are used to control inflammation. Increasingly, antileukotriene agents are being added to inhaled corticosteroids in combination therapy, especially for severe asthma. Antileukotrienes are also used on their own as a frontline therapy, mostly for mild asthma [5]. Antileukotrienes have both anti-inflammatory and bronchodilatory properties and the therapy has been shown to have an acute and sustained beneficial effect on lung function (changes in FEV1) in chronic persistent asthma [6]. Antileukotrienes do not have major side effects and appear to be well tolerated by most patients [7], but a limitation of their widespread use may be due to the large percentage of nonresponders [8]. However, for those intolerant or resistant to corticosteroids but responsive to antileukotrienes, treatment with leukotriene inhibitors has become an invaluable therapeutic option. There are two types of leukotriene inhibitors: the leukotriene receptor antagonists such as montelukast and those that inhibit leukotriene formation such as zileuton. Zileuton is an inhibitor of the enzyme 5-lipoxygenase, which forms leukotrienes from arachidonic acid. The network of signaling pathways associated with leukotrienes is complex and is not completely understood [6]. The findings by Chen et al. [2] have shed light on this subject, specifically with regard to perturbations in the signaling pathways seen in allergen-sensitized animals. They have identified some potentially important downstream molecular players in leukotriene signaling in ovalbumin-sensitized rats with chronic inflammation, thickened airway walls and reduced lung function. They also showed that zileuton significantly reduced the expression of biomarkers of chronic inflammation, significantly reversed the airway remodeling and improved lung function in these sensitized, bronchohyperresponsive rats. An earlier study by Burgess et al. [9] pointed out that phosphoinositide 3-kinase (PI3K) could be a key molecule in the hyperplasia response of human airway smooth muscle in asthma. Following this lead, Chen et al. [2] have demonstrated that activation of the PI3K/Akt/mTOR pathway is associated with leukotriene-induced (zileuton-sensitive) airway remodeling in ovalbumin-sensitized rats. The mammalian target for rapamycin (mTOR) is regarded as a master switch of cellular metabolism that regulates cell growth and proliferation. The enzyme complex is made up of two components, mTORC1 and mTORC2 [3]. mTORC1 stimulates protein synthesis by phosphorylating the ribosomal S6 kinase 1 (S6K1) and the eukaryotic translation initiation factor 4E-binding protein 1 (4E-BP1). Phosphorylation of 4E-BP1 leads to the release of eukaryotic initiation factor 4E (eIF4E) from 4E-BP1; formation of eIF4F results from binding of eIF4E with eIF4G (fig. 1). eIF4E itself is known to have antiapoptotic activity [10,11,12]. eIF4F and signaling from the S6K1 pathway are important in the initiation of mRNA translation that produces proteins for cell growth and cell cycling. mTORC2 activates the serum- and glucocorticoid-regulated kinase and protein kinase C, two important enzymes known to be involved in the regulation of cell cycle and survival. Chen et al. [2] have shown that virtually all enzymes and proteins associated with the PI3K/Akt/mTOR pathway (fig. 1) are activated in the airways of ovalbumin-sensitized rats, presumably due to leukotriene stimulation (because the level of activation could be attenuated by zileuton). As a result of the hyperactivation, an excess amount of cyclin D1 is produced, which could explain the increased airway smooth muscle mass which they found in the sensitized rats. The broad effects of zileuton in reversing airway wall-thickening and angiogenesis as well as reducing the level of inflammatory mediators and improving lung function are remarkable. Even more remarkable is the finding that the pathways leading to airway remodeling closely overlap those responsible for tumorigenesis [3,4]. This raises a question: is airway remodeling a form of hyperplasia or tumor growth? The findings that deficiency in C/EBPα (CCAAT/enhancer binding protein α) in human asthmatic airway smooth muscle cells [13] could be linked to airway remodeling in vivo and that mutation in the gene encoding C/EBPα is linked to some malignancies [14] raise the same question. The outcome of airway remodeling and tumor growth is at least superficially the same: there is an increase of tissue mass. If both processes are the results of disturbance in the signal transduction in the PI3K/Akt/mTOR/C/EBPα axis of pathways [15,16], then the same strategy could be adopted for tackling the cellular abnormalities seen in airway remodeling and for tumor growth. Zileuton is an upstream inhibitor of the leukotriene-stimulated PI3K/Akt/mTOR signaling. Knowing the downstream molecular players involved in the signal pathways will allow us to be more specific in selecting targets for drug intervention. The large percentage of nonresponders in antileukotriene therapy [8] may be due to genetic or epigenetic variations among asthma sufferers; these variations may result in differences in the quantity or the properties of the downstream enzymes. Targeting specific enzymes may therefore reduce the pool of nonresponders in asthma therapy. Caution must be exercised, however, in interpreting the data from Chen et al. [2]. They did not demonstrate that the observed airway remodeling is directly mediated by leukotrienes. The leukotriene antagonist could reduce inflammation and it could be that the remodeling is a downstream event driven by one or many of the inflammatory mediators released secondary to leukotriene release. This possibility needs to be addressed in future experiments. Furthermore, the pathways identified in the rat model need to be explored in human tissues, to verify that indeed the same pathways are altered when humans are exposed to inhibitors of leukotriene formation.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,352
Score d'incertitude au seuil0,653

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,018
Tête enseignante GPT0,256
Écart entre enseignants0,238 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2013
Routes d'admission1
Résumé présentoui

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