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Enregistrement W4385729247 · doi:10.22541/au.169172080.01552788/v1

Sputum cytokines associated with raised FeNO after anti-IL5 biologic therapy in severe asthma.

2023· preprint· en· W4385729247 sur OpenAlexaffabout
Pieter‐Paul Hekking, Kayla Zhang, Carmen Paz Venegas Garrido, Melanie Kjarsgaard, Manali Mukherjee, Parameswaran Nair

Notice bibliographique

Revuenon disponible
Typepreprint
Langueen
DomaineMedicine
ThématiqueAsthma and respiratory diseases
Établissements canadiensSt. Joseph’s Healthcare Hamilton
Organismes subventionnairesnon disponible
Mots-clésMedicineSputumExhaled nitric oxideImmunologyEosinophilAsthmaMepolizumabBenralizumabInterleukin 5EosinophiliaProinflammatory cytokineEotaxinInterleukinCytokineSpirometryInflammationPathologyTuberculosis

Résumé

récupéré en direct d'OpenAlex

Sputum cytokines associated with raised FeNO after anti-IL5 biologic therapy in severe asthma.To the Editor,Biomarkers such as circulating absolute eosinophil count, % of eosinophils in sputum, and fraction of exhaled nitric oxide (FeNO) are predictors of response to anti-inflammatory therapy for asthma. Failure to normalize FeNO with high doses of corticosteroids are likely to be related to cytokines and chemokines such as IL-5, IL-4, IL-13, eotaxin and TARC derived from eosinophils and other Th2 cells, and alarmins such as TSLP and IL-33 from sources such as the airway epithelium(1). All Anti-IL5 biologics suppress eosinophils in sputum. However benralizumab (anti-IL5RMab) has greater effect in the severe prednisone-dependent patients than mepolizumab/reslizumab (anti-IL5 neutralizing Mab)(2,3). While raised eosinophil count is a predictor of clinical response to anti-IL5 biologics, raised FeNO is often not(4). However, they reduce FeNO to variable levels(4,5) suggesting that FeNO is partly regulated by cytokines derived from eosinophils in the airway(1). The cytokines in sputum associated with raised FeNO in prednisone-dependent severe asthmatics treated with effective anti-eosinophil drugs are not known.In this retrospective observational study, we measured cytokines in sputum using an automated ELISA reader (EllaTM, Protein Simple, R&D Systems, BioTechne, Minneapolis) at baseline and after 4 months of treatment with either benralizumab or mepolizumab/reslizumab and compared the levels of cytokines in those whose FeNO remained high after treatment. Raised FeNO was defined by FeNO >40ppb and an increase of at least 16ppb from pre-treatment value. The study was approved by Hamilton Integrated Research Ethics Board (#11227, 5037), and all patients gave written informed consent. The cytokines assayed were IL-5, IL-4 and IL-13 (Th2 inflammation) and IL-1β, IL-6, IL-10, IL-12p70, IL-15 IL-17A, IL-18, IL-33, IFNγ and TNFα (Th1/Th17 inflammation, Table e3). Details of baseline demographics, methods and statistics are shown in the online supplement.Paired measurements were made in 30 patients who received benralizumab, and 10 each who received mepolizumab/reslizumab. Overall, as previously reported(5), FeNO levels were not significantly reduced by anti-IL5 treatment (median FeNO pre-treatment 29 [5-156] vs FeNO post treatment 37 [6-280]; p=0.25; Figure e1). This change in FeNO did not correlate with a reduction of sputum eosinophils (r=-0.24; p=0.16).Among 15 patients, FeNO remained raised after treatment (Table 1). On average, IL-4 and IL-13 were the only cytokines significantly higher in the sputum of these patients compared to those in whom the FeNO values normalized (Figure 1, Figure e2). Within this group, there were patients with raised IL-4 (31%) and IL-13 (15%) and those with normal IL-4/IL-13. A small proportion of those with normal IL4/13 had raised levels of IL-18 or IL-1β (20%). Residual eosinophilic airway inflammation was significantly more present in patients with raised FeNO (30.8% vs 8.1%; P=0.04; Table e2). Patients with raised FeNO remained to have poor asthma control with an ACQ>1.5, however this did not significantly differ from those with a normalized FeNO (ACQ 1.7±0.9 vs 1.4±1.1; P=0.36; Table 1).This study, despite its limitation of retrospective design and small numbers, provide novel information on the cytokine profile in the airways of severe prednisone-dependent eosinophilic asthma patients whose FeNO remain high after anti-IL5 treatment. This is a common clinically encountered situation. Our observations suggest that IL-4/IL-13 are the cytokines most associated with this phenomenon. This may be due to the airway eosinophilia being uncontrolled or due to a non-eosinophilic source of these cytokines. However, there could be non-IL-4/IL-13 related increase in FeNO that may be due to inflammasome activation and through non-Th2 cytokine pathways that may raise the possibility of airway infections or autoimmune activation(6). This has important clinical implication. These patients may not show adequate response to switching to anti-IL4R Mab if their asthma remains uncontrolled. This needs to be evaluated prospectively.References:Couillard S, Shrimanker R, Chaudhuri R, et al. Fractional Exhaled Nitric Oxide Nonsuppression Identifies Corticosteroid-Resistant Type 2 Signaling in Severe Asthma. Am J Respir Crit Care Med 2021; 204: 731-734.Mukherjee M, Forero DF, Tran S, Boulay ME, et al. Suboptimal treatment response to anti-IL-5 monoclonal antibodies in severe eosinophilic asthmatics with airway autoimmune phenomena. Eur Respir J 2020 Oct 8;56(4):2000117. doi: 10.1183/13993003.00117-2020.Mukherjee M, Bhalla A, Venegas-Garrido C, et al. Benralizumab attenuates blood and airway eosinophilia in severe asthmatics with inadequate response to anti-IL-5 neutralizing antibodies [abstract]. Eur Respir J 2022; 60 (suppl 66): 3994; DOI: 10.1183/13993003.Hearn AP, Kavanagh J, d’Ancona G, et al. The relationship between Feno and effectiveness of mepolizumab and benralizumab in severe eosinophilic asthma. J Allergy Clin Immunol Pract 2021; 9: 2093-2096.e1.Nair P, Kjarsgaard M, Armstrong S, Efthimiadis A, O’Byrne PM, Hargreave FE. Nitric oxide in exhaled breath is poorly correlated to sputum eosinophils in patients with prednisone-dependent asthma. J Allergy Clin Immunol 2010; 126: 404-6.Donnelly LE, Barnes PJ. Expression and regulation of inducible nitric oxide synthase from human primary airway epithelial cells. Am J Respir Cell Mol Biol 2002; 26: 144-51.AuthorsPieter-Paul Hekking 1,2, Kayla Zhang1, Carmen Paz Venegas Garrido 1, Raquel Lopez-Rodriguez 1,3, Melanie Kjarsgaard1, Manali Mukherjee 1, Parameswaran Nair 11. Division of Respirology, Department of Medicine, St. Joseph’s Healthcare Hamilton, McMaster University, Hamilton, Ontario, Canada.2. Department of Respiratory Diseases, STZ Centre of Excellence for Asthma & COPD, Franciscus Gasthuis & Vlietland Hospital, Rotterdam, the Netherlands.3. Department of Allergy, Lucus Augusti Hospital, Lugo, SpainCorrespondenceDr Parameswaran NairFirestone Institute for Respiratory HealthSt Joseph’s Healthcare Hamilton50 Charlton Avenue EastHamilton, Ontario, L8N4A6, CanadaTel: 905-522-1155 x 35044Fax: 905-521-6183E-mail: parames@mcmaster.ca

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
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 Opus0,031
Tête enseignante GPT0,280
Écart entre enseignants0,249 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

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

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
Publié2023
Routes d'admission2
Résumé présentoui

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