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Enregistrement W4417305366 · doi:10.1111/all.70192

Monocyte Chemotactic Factors in the Airways of Patients With Mild Asthma Before and After an Allergen Challenge

2025· article· en· W4417305366 sur OpenAlexafffund
Nami Shrestha Palikhe, Yingqi Wu, Karen Howie, Caitlin Stevens, Jennifer Mitchell, Lesley Wiltshire, Gail M. Gauvreau, Harissios Vliagoftis

Notice bibliographique

RevueAllergy · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueAsthma and respiratory diseases
Établissements canadiensMcMaster UniversityUniversity of Alberta
Organismes subventionnairesCanadian Institutes of Health ResearchGlaxoSmithKline foundationGlaxoSmithKline
Mots-clésAsthmaChemotaxisCCL17EosinophilSputumChemokineAllergenPeripheral blood mononuclear cell

Résumé

récupéré en direct d'OpenAlex

Allergic asthma is characterized by eosinophilic airway inflammation, but a number of individuals, especially subjects with severe asthma, may have primarily neutrophilic inflammation. Murine studies suggest that blood monocytes (Mo) facilitate eosinophil and neutrophil recruitment to the lungs [1, 2] and their depletion decreases airway inflammation and hyperresponsiveness. However, we know little about the role of Mo in human asthma. Induced sputum from patients with asthma has increased numbers of Mo compared to healthy controls [3], while airway Mo correlate with indicators of inflammation [4]. The triggers for Mo recruitment to the airways are poorly understood. Here, we measured Mo chemotactic factors in mild asthmatics before and after an allergen challenge, and developed an ex vivo assay to assess their biological significance. With ethics approval and informed consent, we studied the presence of Mo chemotactic factors in pre- and 24 h post-allergen challenge (24 h) induced sputum from subjects with mild asthma (Table S1). Eosinophils increased 24 h after allergen challenge, while other immune cells remained unchanged (Figure S1). Chemokine CC-motif ligand (CCL)2, CCL3, CCL4, CCL13, CCL17, and CCL22 were detected in induced sputum, but only CCL4 and CCL17 increased at 24 h compared to baseline (Figure 1A,B; Figure S2); CCL17 increased only in dual responders, not in those with isolated early responses (Figure 1C,D). Changes in other chemotactic factors may have been missed due to the timing of sampling. To test the biological significance of these Mo chemotactic factors, we developed a Mo chemotactic assay using peripheral blood mononuclear cells (PBMC) from healthy volunteers stimulated with sputum supernatants from asthmatic subjects; migrating Mo were identified among migrating PBMC by flow cytometry (gating strategy in Figure S3). Increasing dilutions of sputum supernatants mediated chemotaxis but not chemokinesis (Figure S4A,B). Migrated cells were Mo-enriched, indicating sputum supernatants preferentially attract Mo over lymphocytes (Figure S5A,B). We observed an increase in both the numbers of migrating Mo (Figure 2A) and the % of total seeded Mo that migrated (Figure 2B) toward 24 h sputum supernatants than pre-challenge supernatants. The results were consistent between donors, with the majority of the 24 h sputum supernatants inducing higher chemotaxis compared to corresponding pre-challenge supernatants. Sputum supernatants showed lymphocyte chemotactic activity, which was unchanged 24 h post-challenge (Figure 2C,D). We then tested a CCR4 and a CCR2/CCR5 antagonist to block the effects of CCL17 and CCL4, respectively. Both the CCR4 antagonist C021 (0.14 μM; Figure 2E) and the CCR2/CCR5 antagonist TAK (30 nM; Figure 2F) inhibited Mo chemotaxis toward 24 h sputum supernatants, with a slightly greater effect when combined (Figure S6). Our findings demonstrate that induced sputum from patients with mild asthma following allergen challenge induces enhanced Mo chemotaxis, likely driven by increased CCL4 and CCL17 levels, though the involvement of additional factors cannot be ruled out. Preferential increase of CCL17 in dual responders suggests its role in driving late responses. Our results represent airway changes in subjects with mild asthma, and their generalizability may not be directly obvious. However, elevated levels of Mo chemotactic factors, such as CCL13 and CCL4 have been found also in the airways of patients with asthma compared to healthy controls [5, 6] and CCL17 and CCL22 are elevated in BAL after allergen challenge in asthma [7], supporting the notion of Mo accumulation contributing to airway inflammation. Further research is required to understand whether Mo chemotactic factors are associated with asthma severity and/or control. Therapeutic approaches to block Mo recruitment in the airways in asthma by blocking Mo chemotactic molecules and/or their receptors should be tested in humans as have been done in mice [1, 2] and primates [8]. Nami Shrestha Palikhe contributed to study design, performed flow cytometry, measured monocyte chemotactic factors, conducted chemotaxis assays, analyzed the data, and drafted and finalized the manuscript. Yingqi Wu isolated peripheral blood monocytes for the chemotaxis assays. Karen J. Howie, Caitlin Stevens, Jennifer Mitchell, and Lesley Wiltshire recruited subjects, conducted allergen challenges in 12 participants, and performed sputum induction and processing for supernatant collection. Gail M. Gauvreau prepared ethics documentation, recruited patients at McMaster, contributed to study design, supervised clinical data collection, and reviewed the manuscript draft. Harissios Vliagoftis oversaw study design, supervised data collection and all experiments, and authored the final manuscript draft. This research was supported by grant funding to H.V. from CIHR (133475) and the GlaxoSmithKline–CIHR Research Chair in Airway Inflammation (143901). The authors declare no conflicts of interest. The data that support the findings of this study are available from the corresponding author upon reasonable request. Appendix S1: all70192-sup-0001-AppendixS1.docx. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

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: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,017
Score d'incertitude au seuil0,312

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 recherche0,0000,000
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 Opus0,009
Tête enseignante GPT0,242
Écart entre enseignants0,233 · 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'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

Citations0
Publié2025
Routes d'admission2
Résumé présentoui

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