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Enregistrement W4413027393 · doi:10.1002/clt2.70091

Evidence of Eczematous Skin Characteristics in Mild Allergic Asthma

2025· article· en· W4413027393 sur OpenAlexaff
Anchalee Senavonge, Ruth P. Cusack, Christiane E. Whetstone, Nadia Alsaji, Karen Howie, Caitlin Stevens, Jennifer Wattie, Lesley Wiltshire, Roma Sehmi, Paul M. O’Byrne, Hermenio Lima, Gail M. Gauvreau

Notice bibliographique

RevueClinical and Translational Allergy · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueDermatology and Skin Diseases
Établissements canadiensMcMaster University Medical CentreMcMaster UniversityHamilton Health Sciences
Organismes subventionnairesnon disponible
Mots-clésMedicineAsthmaAllergic asthmaAllergyDermatologyImmunology

Résumé

récupéré en direct d'OpenAlex

To the Editor, Atopic dermatitis (AD) and asthma are associated through common inflammatory pathways, immunologic crosstalk, barrier disruption, and genetic predisposition [1]. Approximately 50%–70% of asthmatic patients have AD, while 20%–40% of AD patients are diagnosed with asthma [2, 3]. Medications that inhibit type 2 inflammation, such as corticosteroids and dupilumab, effectively treat both conditions, suggesting an overlap in the pathogenesis of AD and asthma. Since there have been no objective skin assessments in asthmatics without a history or clinical findings of AD, we aimed to identify the proportion and characteristics of asthmatics who display skin features consistent with those of AD. The Hamilton Integrated Research Ethics Board approved this study. Mild allergic asthmatics without a historic or current clinical findings of AD were recruited. Participants had not used any anti-inflammatory therapy for treatment of asthma, including but not limited to corticosteroids or biologics, for over 1 month before enrollment. They were characterized as asthmatic by positive methacholine challenge (PC20 ≤ 16 mg/mL), and their allergic sensitization was documented through a positive skin prick test to a panel of aeroallergens. Measurements of blood total immunoglobulin E (IgE) and blood and sputum eosinophil counts were conducted. Skin biopsies of unaffected skin were obtained from the lower back using a 4 mm punch to evaluate spongiosis and vacuolization of the dermo-epidermal junction, which are characteristic findings in the skin of AD patients. Epidermal spongiosis and dermal neutrophilic and lymphocytic infiltration were measured semi-quantitatively using a 4-point scale. The severity of spongiosis was assessed as 0 (absence of haloing/vacuoles or cellular infiltrate), 1 (haloing present), 2 (haloing present with vacuoles formed), or 3 (numerous vacuoles with intravacuolar lymphocytic or neutrophilic infiltrate) [4]. Participants were then separated into groups based on the absence or presence of epidermal spongiosis, defined as a score of ≥ 2. Groups were compared using the independent samples t-test for normally-distributed data, the Mann–Whitney U test for non-normally distributed data, and Fisher's Exact Test for categorical data, and summary statistics are presented as mean (± SD), median (range), and number (%), respectively. The threshold for statistical significance was set at p < 0.05. Fourteen asthmatic participants completed the study. The geometric mean (range) methacholine PC20 was 4.5 (0.48–13.8) mg/mL, with an FEV1 of 100 ± 12.7% predicted and an FEV1/FVC ratio of 0.83 ± 0.06. Allergic rhinitis was reported in 11 out of 14 (78.5%) participants. Four of the 14 participants (28.6%) had epidermal spongiosis and vacuolar infiltration consistent with eczematous skin of AD (Table 1). Low dermal lymphocyte infiltration was observed in three participants in the non-eczematous group, and none of the biopsies showed signs of neutrophilic infiltration. When comparing participants with and without eczematous biopsies, we found that the eczematous group was significantly older at the time of biopsy collection (35.7 ± 12 vs. 25.6 ± 5.6 years of age), with a younger age at asthma onset (6.25 ± 2.8 vs. 15.8 ± 8.3 years of age). They also exhibited a larger skin response to house dust mite: (Dermatophagoides pteronyssinus 5.5 [3.75–7.63] vs. 2 [0–3] mm diameter wheal and Dermatophagoides farinae 5.25 [3.75–6.63] vs. 1 [0–3.75] mm diameter wheal; p < 0.05). The size of skin wheals to cat, dog, horse, feather, mold, dictyopteran, Alternaria, Aspergillus, weed, ragweed, tree, or grass pollen was similar between the two groups. Blood total IgE levels were numerically higher in the eczematous biopsy group (443.5 ± 634 vs. 261.1 ± 397 IU/mL, p = 0.28). Methacholine PC20, spirometry, and sputum eosinophil levels did not differ between the two groups. Studies comparing early-onset asthma with late-onset asthma have revealed different phenotypes with distinct clinical characteristics and comorbidities. In early-onset asthma, atopic comorbidities, such as allergic rhinitis, and type 2 inflammatory patterns, as indicated by elevated serum IgE and blood eosinophils, are more prevalent. In contrast, late-onset asthma is prone to comorbid obesity [5]. In this population of mild allergic asthmatics, we found no connection between AD and indices of asthma severity, as measured by methacholine and airway eosinophils. This could be due to the limited number of participants available for biopsy or the narrow range of asthma severity (all mild asthma) included in this study. In conclusion, the current study underscores the distinct early-onset asthma phenotype of participants in this study and the high frequency of atopic comorbidity of allergic rhinitis. Of this phenotype, those with pathological signs of eczematous skin had a significantly earlier age of asthma onset. Notably, in other studies, older age has been associated with greater changes in dermatitis symptoms following HDM exposure, which could result from longer sensitization to the allergen, as Th2 biomarkers are related to these two comorbidities [2, 3]. Genetic predisposition or immune signaling via the Th2 pathway could be an underlying explanation. HDM sensitization has been observed in both AD and asthma. Mite allergen exhibits protease activity that can influence the permeability of the respiratory and skin epidermal barriers through the activation of protease-activated receptor 2 (PAR2). Previous studies have demonstrated that AD severity is associated with HDM concentrations [6, 7]. Moreover, HDM immunotherapy demonstrates clinical effectiveness in both asthma and AD, suggesting that dust mites can act as a significant trigger through IgE-mediated mechanisms [8, 9]. A larger study with follow-up is needed to fully understand the relationship between skin and airway inflammation in allergic patients. Through the evaluation of skin biopsies in asthmatic participants with no history of AD, this study has confirmed that early-onset asthma patients with sensitization to house dust mite should be closely monitored for the development of atopic dermatitis. Anchalee Senavonge: writing – review and editing, writing – original draft, formal analysis. Ruth P. Cusack: conceptualization, methodology, data curation, project administration, investigation. Christiane E. Whetstone: writing – review and editing, formal analysis, data curation, conceptualization, methodology, project administration. Nadia Alsaji: data curation, methodology. Karen J. Howie: project administration. Caitlin Stevens: project administration. Jennifer Wattie: data curation. Lesley Wiltshire: data curation. Roma Sehmi: supervision. Paul M. O’Byrne: supervision. Hermenio Lima: conceptualization, investigation, supervision, methodology, writing – review and editing. Gail M. Gauvreau: conceptualization, methodology, data curation, supervision, writing – review and editing, investigation, formal analysis, writing – original draft. R.P.C., A.S., C.E.W., N.A., K.J.H., C.S., J.W., L.W., R.S., P.M.O., G.M.G. declares have no conflict of interest. H. Lima has received consulting fees, attended advisory boards, and participated in clinical trials for the following: Aslam Pharm, AbbVie (Abbott), Amgen, AstraZeneca, Bausch Health, Bristol-Myers-Squibb, Celgene, Dermira, Eli Lilly, GSK, Incyte, Janssen, La Roche-Posay, Leo Pharmaceutics, Merck Sharp & Dohme, Moonlake, Novartis, Pediapharma, Pfizer, RAPT, Regeneron, Sanofi, Takeda, and UBS. G.M.G. has received consulting fees and participated in clinical trials for the following: AstraZeneca, Genentech, Third Harmonics Bio, Blueprint Medicines, Biohaven, Jasper Therapeutics The authors have nothing to report.

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 enseignants0,024
Score d'incertitude au seuil0,279

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 Opus0,052
Tête enseignante GPT0,366
Écart entre enseignants0,313 · 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'admission1
Résumé présentoui

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