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Enregistrement W3130725416 · doi:10.1111/all.14772

IL‐13 signature in severe adult asthmatics with airway neutrophilia: A new endotype to treat!

2021· letter· en· W3130725416 sur OpenAlexaffabout
Manali Mukherjee, Ioana Agache

Notice bibliographique

RevueAllergy · 2021
Typeletter
Langueen
DomaineMedicine
ThématiqueAsthma and respiratory diseases
Établissements canadiensMcMaster UniversitySt. Joseph’s Healthcare Hamilton
Organismes subventionnairesnon disponible
Mots-clésMedicineImmunologyAsthmaBronchoalveolar lavageMoraxella catarrhalisEosinophilicNeutrophiliaEndotypeEosinophilThymic stromal lymphopoietinCohortPopulationAirwayAllergyHaemophilus influenzaeLungInternal medicinePathologyBiologyMicrobiology

Résumé

récupéré en direct d'OpenAlex

To the editor, With great interest, we read the article by Azim and co-workers1 published in this issue of Allergy. To understand the inflammatory component of the peripheral airways of severe asthmatics uncontrolled by high dose inhaled corticosteroids (ICS), the authors examined the bronchoalveolar lavage (BAL) in two well-characterized asthma populations. In 78 severe asthma patients constituting the experimental cohort, an increase in IL-13 BAL levels associated with increased neutrophils, without eosinophils was reported. In the validation cohort (n = 18), the authors confirmed this ‘non-eosinophilic’ phenotype and further showed the presence of pathogenic bacteria, Moraxella catarrhalis, Haemophilus sp and Streptococcus sp. The significance of the study is threefold. First, the identification of a severe T2 asthma population with an IL-13 signature and airway neutrophils that may be misclassified due to absence of the ‘classic’ biomarker—eosinophils. Second, it highlights potential alternate cellular sources of IL-13 besides the T2 cells. Third, the association of high BAL IL-13 with microbial dysbiosis in a low-eosinophilic airway inflammation setting that indicates a novel pathogenetic role of IL-13, further contributing to asthma severity. Almost two decades back, Ward et al., reported a high variability in the BAL inflammatory cellular profile.2 Therefore, the confirmation of a neutrophilic airway cellularity in a follow-up validation cohort was essential and adds to the robustness of the study design. However, the presence of neutrophils in the BAL may simply be an innate immune response to the detected pathogenic bacteria or the ongoing effect of the corticosteroid therapy, rather than a direct IL-13 effect. Both confounders could have been easily addressed if the airway inflammation was investigated longitudinally after a course of antibiotics. In addition, the absence of eosinophils in the BAL could simply be a numerical anomaly where the increased number of neutrophils masks the eosinophil count. Again, this could have been checked by examining the cellularity in BAL post-infection (i.e. after a course of antibiotics) or by using a ratio between eosinophils and neutrophils instead of absolute values. Close inspection of the reported data reveal that an underlying eosinophilic/T2 component in the high tertile IL-13 severe asthma group cannot be ruled out altogether. First, the distribution on the scatter plot (Figure 2 in Azim et al1) shows half of the patients having >2% BAL eosinophils. In the replication cohort, the BAL eosinophil% were higher in the high IL-13 group vs low (1.30 ± 4.53 vs. 0.50 ± 1.65) but multiple comparison tests have not been reported to ratify a statistical difference. IL-5 levels were significantly higher in the high IL-13 compared to the low tertile group (0.61 ± 1.53 vs 0.32 ± 0.35 pg/ml, p = 0.001). IL-13 correlated with both BAL neutrophil% (r = 0.580, p < 0.001) and BAL eosinophil%, (r = 0.271, p = 0.017), even though the latter was a weaker association. Using routine sputum cell differential, ~10% of severe asthmatics consistently have a mixed granulocytic sputum, that is neutrophils >65% together with borderline eosinophils in the range of 2–3%. These patients usually have ongoing airway infection that masks their eosinophilia, as their eosinophilia re-emerges after the infection is resolved.3 A mixed granulocytic phenotype based on sputum cytology has been reported both by the Airways Disease Endotyping for Personalized Therapeutics (ADEPT) and Unbiased BIOmarkers in PREDiction of respiratory disease outcome (U-BIOPRED) cohorts. The patient population evaluated is similar to other observational studies where 7–10% of asthmatics have mixed phenotype,3 lowest lung function,4 and similar dysbiosis by 16s sequencing.5 Taken together, the high tertile IL-13 ‘neutrophilic’ group based on the BAL analysis may be representative of the mixed granulocytic phenotype. The debate continues on whether neutrophils contribute to the pathology of severe asthma in the high tertile IL-13 group or whether they are only present as a consequence of infection or the use of corticosteroids. It must be pointed out that, targeting different drivers of neutrophilic inflammation (eg IL-17, IL-23, CXCR2 [reviewed extensively in6]) had discouraging results in the clinical trials, although patient selection was not optimal. We next raise the question on whether increased IL-13 in the airway is contributory or collateral to the observed infections. The IL-4/IL-13 pathway has been implicated in dampening the neutrophil response to an infection by impairing IL-8 induced migration and neutrophil extracellular trap formation.7 LPS (infection mimic) induces airway hyperresponsiveness and corticosteroid resistance via IL-13 dependent signalling of pulmonary macrophages.8 Therefore, increased IL-13 due to an underlying T2 pathology may impair host defence. Of interest, increased sputum IL-13 levels predict the presence of airway autoantibodies in severe asthmatics with a mixed granulocytic phenotype. Moreover, autoantibody-induced macrophage dysfunction in the mixed phenotype can contribute to recurrent airway infections.9 That said, inherent immunodeficiencies or neutrophil dysfunction were not ruled out in this study as other underlying reasons for the observed airway infection in the replication cohort. In summary, elevated levels of IL-13 in the peripheral airways with increased neutrophils and low levels of eosinophils reveal an underlying T2 pathway for the mixed granulocytic asthma phenotype, together with alternate cellular sources of IL-13 besides eosinophils or the T2 cells, such as alveolar macrophages or mast cells (Figure 1). The study also adds a novel potential pathogenetic pathway (innate immune response impairment with microbial dysbiosis) to IL-13's ‘classic’ contribution to asthma severity, including but not limited to, airway smooth muscle phenotype switch, mucus hypersecretion, eosinophil recruitment and epithelial activation (Figure 1). Pending further validation through longitudinal studies, a therapeutic focus for this particular severe asthma endotype is therefore IL-13, a cytokine that is truly pleiotropic for its heterogeneity of cellular source and downstream functions. Targeting the IL-13/IL-4 pathway using an anti-IL-4Ra monoclonal antibody (dupilumab) was more successful than targeting IL-13 alone.10 This might be relevant for the population in question as IL-4 levels (though lowly detected) were correlated with IL-13 levels. We conclude by congratulating the authors1 for their distinct observation of a severe asthma endotype with raised IL-13, neutrophilia and dysbiosis in the peripheral airways. This population may benefit from an IL-4/IL-13 targeted therapy, although the ‘classic’ T2 selection biomarker—eosinophilia, is not immediately noticeable. The work also reinforces the value of using airway secretions, instead of blood, to investigate asthma endotypes. Dr. Mukherjee is supported by investigator award from Canadian Institutes of Health Research and Canadian Allergy, Asthma and Immunology Foundation. She has received grants from Methapharm Speciality Pharmaceuticals and honorarium from AstraZeneca and GlaxoSmithKline outside the submitted manuscript. Dr. Agache is Associate Editor of Allergy. MM and AI wrote the manuscript.

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 candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,052
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,009
Tête enseignante GPT0,225
Écart entre enseignants0,216 · 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.

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

Citations5
Publié2021
Routes d'admission2
Résumé présentoui

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