Clinical and Experimental Allergy最新文献

{"title":"Management and Research Progress of Severe Asthma in China","authors":"Xiaoying Chen,&nbsp;Rui Feng,&nbsp;Xiaolong Ji,&nbsp;Bizhou Li,&nbsp;Tao Liu,&nbsp;Jing Li,&nbsp;Ruchong Chen","doi":"10.1111/cea.70166","DOIUrl":"10.1111/cea.70166","url":null,"abstract":"<div>\u0000 \u0000 <p>Asthma is one of the most common chronic respiratory diseases, persisting across the life course and affecting approximately 300 million people worldwide. Severe asthma, defined as asthma remaining uncontrolled despite adherence to optimised high-dose inhaled corticosteroids/long-acting β2-agonist therapy and management of contributory factors, worsens upon dose reduction. In China, 3.4%–8.3% of patients with asthma have severe asthma, characterised by heterogeneity, frequent exacerbations, and considerable medical and economic burdens. Recent advances in the understanding of its pathogenesis, especially the development of biologics, have enabled new treatment strategies. This review incorporates recent progress from China regarding the epidemiology, pathogenesis, and biologic therapy for severe asthma.</p>\u0000 </div>","PeriodicalId":10207,"journal":{"name":"Clinical and Experimental Allergy","volume":"56 2","pages":"147-166"},"PeriodicalIF":5.2,"publicationDate":"2025-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145367852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Managing Drug Hypersensitivities: Clinicians' Perceptions on an Optimised Documentation Tool With De-Labelling Feature.","authors":"Veronique Shiwa, Sven Van Laere, Martine Grosber, Pieter Cornu","doi":"10.1111/cea.70167","DOIUrl":"https://doi.org/10.1111/cea.70167","url":null,"abstract":"","PeriodicalId":10207,"journal":{"name":"Clinical and Experimental Allergy","volume":" ","pages":""},"PeriodicalIF":5.2,"publicationDate":"2025-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145367817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Type-2 Biomarkers, Asthma Diagnosis and Lung Function Impairment in the General Population","authors":"Sebastian Riemann,&nbsp;Andrei Malinovschi,&nbsp;Guy G. Brusselle","doi":"10.1111/cea.70165","DOIUrl":"10.1111/cea.70165","url":null,"abstract":"&lt;p&gt;The diagnosis of asthma is typically centred around the presence of four key hallmark features: variable respiratory symptoms, chronic airway inflammation, airway hyperresponsiveness and variable expiratory airflow limitation [&lt;span&gt;1-3&lt;/span&gt;]. However, bronchodilator reversibility (BDR) is present in &lt; 20% of (mild-to-moderate) asthma cases in primary care, limiting its diagnostic value [&lt;span&gt;4&lt;/span&gt;]. Recent guidelines have shifted towards type-2 (T2) biomarkers. The 2022 ERS guideline supports FeNO &gt; 50 ppb to confirm asthma when spirometry is normal or BDR absent, while recommending blood eosinophil counts (BEC) only for phenotyping [&lt;span&gt;1&lt;/span&gt;]. The 2020 NAEPP guideline similarly endorses FeNO as an adjunct test, but not BEC [&lt;span&gt;5&lt;/span&gt;]. In contrast, the 2024 BTS/SIGN/NICE guideline proposes FeNO (&gt; 50 ppb) or elevated BEC as first-line diagnostic tests, removing the requirement for spirometry [&lt;span&gt;2&lt;/span&gt;]. The Global Initiative for Asthma (GINA) recommends the use of FeNO and BEC mainly for asthma phenotyping [&lt;span&gt;3&lt;/span&gt;].&lt;/p&gt;&lt;p&gt;We evaluated this biomarker-first approach as a potential screening tool for asthma in the general population using U.S. NHANES 2007–2012 data from 18,319 participants (aged 6–80) with FeNO and BEC measurements and asthma status (self-reported physician-diagnosed current asthma). FeNO was measured with NIOX MINO (NIOX MINO, Aerocrine, Stockholm, Sweden). FeNO was defined as normal (&lt; 20 ppb in children and adolescents aged 6–18/&lt; 25 ppb in adults), intermediate (20–35/25–50 ppb) and high (≥ 35/≥ 50 ppb). Associations with asthma status were assessed using multivariable regression adjusted for demographic and clinical covariates. Associations between asthma status, high biomarkers and airflow obstruction were restricted to adults ≥ 18 years without emphysema (&lt;i&gt;N&lt;/i&gt; = 12,575). Airflow obstruction was defined as prebronchodilator FEV&lt;sub&gt;1&lt;/sub&gt;/FVC below the lower limit of normal using the GLI-2012 reference values.&lt;/p&gt;&lt;p&gt;The average age in the study group was 36 years. This study group included 1584 participants with current asthma (8.6%). Compared to controls, participants with current asthma were generally younger (32.7 years), had higher BMI (28.1 ± 8.7 kg/m&lt;sup&gt;2&lt;/sup&gt;) and 56.2% were female. Reported use of oral and inhaled corticosteroids in asthmatics amounted to 3.6% and 21.8%, respectively (of which 12.8% reported use of ICS/LABA inhaler). Overall asthma prevalence increased from 5.9% in participants with normal FeNO and BEC &lt; 150/μL to 31.7% in those with high FeNO and BEC &gt; 500/μL (Figure 1A). In each of the three FeNO categories, asthma prevalence increased gradually according to increasing BEC levels (5.9% to 13% in the case of low FeNO, 8.8% to 23.6% in intermediate FeNO and 4.4% to 31.7% in participants with high FeNO).&lt;/p&gt;&lt;p&gt;Compared to individuals with low BEC and FeNO, moderate increases in BEC (150–300/μL) were associated with 1.3- to 3.2-fold higher o","PeriodicalId":10207,"journal":{"name":"Clinical and Experimental Allergy","volume":"56 2","pages":"173-175"},"PeriodicalIF":5.2,"publicationDate":"2025-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12879270/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145354109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reassessing the Relationship Between Exhaled Nitric Oxide and Acute Bronchodilation in Asthma Patients","authors":"Martin Färdig,&nbsp;Alain Michils,&nbsp;Renaud Louis,&nbsp;Mare Sabbe,&nbsp;Alain Van Muylem,&nbsp;Florence Schleich,&nbsp;Andrei Malinovschi","doi":"10.1111/cea.70156","DOIUrl":"10.1111/cea.70156","url":null,"abstract":"&lt;p&gt;Fractional exhaled nitric oxide (Fe&lt;sub&gt;NO&lt;/sub&gt;) is an established marker of type-2 airway inflammation valuable in asthma management [&lt;span&gt;1&lt;/span&gt;]. However, non-inflammatory factors, such as changes in airway calibre, may also influence Fe&lt;sub&gt;NO&lt;/sub&gt; levels. Airway narrowing reduces Fe&lt;sub&gt;NO&lt;/sub&gt; levels, likely due to reduced epithelial surface area limiting the NO diffusion from the airway lining into the lumen [&lt;span&gt;2&lt;/span&gt;]. This effect may even be more pronounced when peripheral airways are involved, as the majority of NO is produced in the conductive airways [&lt;span&gt;3&lt;/span&gt;]. By studying the dynamics of Fe&lt;sub&gt;NO&lt;/sub&gt; from pre-bronchodilator (BD) to post-BD, Michils et al. previously identified three distinct post-BD Fe&lt;sub&gt;NO&lt;/sub&gt; profiles in asthma: a change ≤ ±10% (Fe&lt;sub&gt;NO&lt;/sub&gt; =), an increase &gt; +10% (Fe&lt;sub&gt;NO&lt;/sub&gt;+) and a decrease exceeding &gt; −10% (Fe&lt;sub&gt;NO&lt;/sub&gt;–), suggesting that Fe&lt;sub&gt;NO&lt;/sub&gt; may help locate the site of airway obstruction [&lt;span&gt;4&lt;/span&gt;].&lt;/p&gt;&lt;p&gt;Therefore, in a larger population of unselected asthmatics with stricter BD-withhold, we studied whether the post-BD Fe&lt;sub&gt;NO&lt;/sub&gt; =, Fe&lt;sub&gt;NO&lt;/sub&gt;+ and Fe&lt;sub&gt;NO&lt;/sub&gt;– profiles could be confirmed, and secondly, if they could be associated with clinical features.&lt;/p&gt;&lt;p&gt;This cross-sectional analysis included 236 asthmatics (63% females), aged 14–83 years, from the asthma clinic of Liège University Hospital (Belgium). Fe&lt;sub&gt;NO&lt;/sub&gt; and dynamic spirometry were performed according to current international guidelines, measured sequentially, both before and 15 min after the inhalation of BD (400 μg of salbutamol), using the NIOX Vero equipment. Only patients scheduled for bronchial provocation tests were instructed to discontinue short-acting (SABA) and long-acting β2-agonists (LABA) for 8–24 h. Informed written consent was collected from all participants at enrolment.&lt;/p&gt;&lt;p&gt;Continuous and dichotomized variables were compared across the Fe&lt;sub&gt;NO&lt;/sub&gt; profiles using the Kruskal–Wallis and the Chi&lt;sup&gt;2&lt;/sup&gt; tests (Stata/IC 16.1). Statistical significance level was set at a &lt;i&gt;p&lt;/i&gt;-value &lt; 0.05.&lt;/p&gt;&lt;p&gt;The median (Q1, Q3) pre- and post-BD Fe&lt;sub&gt;NO&lt;/sub&gt; levels (parts per billion) were 20.0 (13.0, 36.5) and 20.5 (12.0, 36.5) (&lt;i&gt;n&lt;/i&gt; = 236), respectively (&lt;i&gt;p&lt;/i&gt; = 0.079) (Online Repository 1). While only 107 (63.1%) withheld BD use prior to the test, pre- (19.0 [14.0, 34.0] vs. 22.0 [13.0, 40.0], &lt;i&gt;p&lt;/i&gt; = 0.545) and post-BD Fe&lt;sub&gt;NO&lt;/sub&gt; levels (19.0 [13.0, 34.0] vs. 21.0 [12.0, 41.0], &lt;i&gt;p&lt;/i&gt; = 0.686) were similar across participants with and without prior BD use. In relation to pre- and post-BD Fe&lt;sub&gt;NO&lt;/sub&gt; levels, 96 (40.7%) had a change ≤ −10% and ≤ +10% (Fe&lt;sub&gt;NO&lt;/sub&gt; =) (22.0 [15.0, 42.0] vs. 21.0 [14.5, 41.5], &lt;i&gt;p&lt;/i&gt; = 0.470), 73 (30.9%) an increase &gt; +10% (Fe&lt;sub&gt;NO&lt;/sub&gt;+) (19.0 [11.0, 43.0] vs. 28.0 [16.0, 50.0], &lt;i&gt;p&lt;/i&gt; &lt; 0.001) and 67 (28.4%) a decrease &gt; −10% (Fe&lt;sub&gt;NO&lt;/sub&gt;–) (18.0 [13.0, 27.0] vs. 14.0","PeriodicalId":10207,"journal":{"name":"Clinical and Experimental Allergy","volume":"55 12","pages":"1268-1271"},"PeriodicalIF":5.2,"publicationDate":"2025-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12740540/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145343956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unsupervised Machine Learning Identifies Asthma Phenotypes in the Population-Based West Sweden Asthma Study","authors":"Muwada Bashir Awad Bashir,&nbsp;Daniil Lisik,&nbsp;Saliha Selin Ozuygur Ermis,&nbsp;Rani Basna,&nbsp;Reshed Abohalaka,&nbsp;Selin Ercan,&nbsp;Helena Backman,&nbsp;Teet Pullerits,&nbsp;Roxana Mincheva,&nbsp;Göran Wennergren,&nbsp;Madeleine Rådinger,&nbsp;Jan Lötvall,&nbsp;Linda Ekerljung,&nbsp;Hannu Kankaanranta,&nbsp;Bright I. Nwaru","doi":"10.1111/cea.70161","DOIUrl":"10.1111/cea.70161","url":null,"abstract":"&lt;p&gt;Asthma is a heterogeneous disease, and a clear-cut characterisation of its phenotypes has historically been daunting for both clinical practice and research purposes [&lt;span&gt;1&lt;/span&gt;]. Asthma phenotypes have been defined primarily based on clinical experience [&lt;span&gt;2&lt;/span&gt;]. Computational science is helping to elucidate biological processes, with ongoing applications in asthma phenotyping [&lt;span&gt;3&lt;/span&gt;]. In this context, clustering algorithms can learn from unlabeled data to produce distinct subgroups. This data-driven approach is believed to be less subjective and, with relevant input data, can produce clinically meaningful phenotypes [&lt;span&gt;4&lt;/span&gt;]. Characterising asthma at a more granular level aligns with efforts towards precision medicine, potentially enabling improved and tailored management. By including a broad range of clinical, biological, and epidemiological parameters, we employed a machine learning approach to identify and describe asthma phenotypes in adults.&lt;/p&gt;&lt;p&gt;The study sample was derived from the West Sweden Asthma Study (WSAS), a longitudinal cohort study investigating different aspects of airway diseases among a representative sample of adults, which started in 2008 [&lt;span&gt;5&lt;/span&gt;]. A total of 3101 individuals underwent clinical investigations, of which 1895 subjects who had ever had asthma were included in the current study. Asthma was defined as self-reported ever asthma. Age at onset was determined through the follow-up question “at what age did your asthma start?”. In total, 44 variables were selected, based on clinical experience and previous studies (see details at https://osf.io/ucrnt).&lt;/p&gt;&lt;p&gt;Missing data were imputed using multiple imputation with random forest. The phenotypes were derived using Deep Embedded Clustering, a novel approach that combines deep learning with clustering to discover patterns in complex data [&lt;span&gt;6&lt;/span&gt;]. The R packages NbClust, Monte Carlo reference-based consensus clustering (M3C), and Adjusted Rand Index (ARI) were used to decide the optimal number of clusters based on consensus of 30 internal validation indices. The proposed numbers were evaluated in conjunction with clinical experience to determine the final optimal number of clusters (details at https://osf.io/ucrnt/). Continuous data were expressed as means and standard deviations (SD). Group comparisons were performed by one-way analysis of variance with the Tukey post hoc test or Kruskal–Wallis test, as appropriate, for continuous variables and the Chi-square for categorical variables (details at https://osf.io/ucrnt/).&lt;/p&gt;&lt;p&gt;Cluster 1 had the oldest average age at asthma onset (35 years), while cluster 4 had the youngest average age (13 years) (Figure 1). Cluster 1 also had the oldest average chronological age (65 years), highest average BMI (28.5 kg/m&lt;sup&gt;2&lt;/sup&gt;), highest proportion of smokers and average pack-year history, most respiratory symptoms, but the lowest proportion of allergic sensitization and family hist","PeriodicalId":10207,"journal":{"name":"Clinical and Experimental Allergy","volume":"56 2","pages":"170-172"},"PeriodicalIF":5.2,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12879267/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145291368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Longitudinal Blood Transcriptome Analysis Reveals Dynamic Gene Expression Patterns in Patients With Allergic Rhinitis Following House Dust Mite Subcutaneous Immunotherapy.","authors":"Chang Liu, Shikun He, Jinxiu Zhang, Jincai Zhu, Jianxia Rao, Kanghua Wang, Yunping Fan, Yueqi Sun","doi":"10.1111/cea.70158","DOIUrl":"https://doi.org/10.1111/cea.70158","url":null,"abstract":"<p><strong>Introduction: </strong>Subcutaneous immunotherapy (SCIT) is a well-established treatment for inducing immune tolerance in patients with allergic rhinitis (AR). However, the precise molecular mechanisms by which SCIT induces immune tolerance, particularly at the transcriptomic level over the treatment course, have not been fully elucidated. This study aimed to investigate the molecular mechanisms of SCIT by analysing changes in peripheral blood gene expression profiles in AR patients over time.</p><p><strong>Methods: </strong>Whole blood samples were prospectively collected from 30 AR patients (16 paediatric, 14 adult) and 10 healthy controls. RNA sequencing was performed at baseline and at 3, 6 and 12 months of SCIT. Differentially expressed genes (DEGs) were identified, and pathway enrichment, immune cell deconvolution and weighted gene co-expression network analysis were conducted to explore immune regulation and tolerance mechanisms.</p><p><strong>Results: </strong>AR patients showed 1180 DEGs compared to healthy controls, with upregulated genes related to B-cell activation and downregulated genes linked to Th1 differentiation. Both paediatric and adult cohorts exhibited consistent transcriptomic changes, characterised by progressive normalisation of gene expression, with the number of DEGs decreasing over time and significant convergence towards healthy control profiles by 12 months. SCIT enhanced type I interferon responses and antiviral pathways while reducing B-cell activation and inflammatory responses. Immune cell analysis revealed increased regulatory T cells and dendritic cells by 6 months and reduced Th2 cells and eosinophils by 12 months. Key immune-related hub genes, including CD19, CD79A, CD79B, CD22, IFIH1, STAT1, DHX58, TLR4, IL1B and TLR1, were identified as central to SCIT efficacy.</p><p><strong>Conclusion: </strong>SCIT dynamically modulates blood gene expression profiles in AR patients, inducing immune tolerance and reducing inflammatory responses. These findings enhance understanding of the molecular mechanisms of SCIT and highlight potential biomarkers for predicting and monitoring treatment efficacy.</p>","PeriodicalId":10207,"journal":{"name":"Clinical and Experimental Allergy","volume":" ","pages":""},"PeriodicalIF":5.2,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145291402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adherence to Grass Pollen Allergen Immunotherapy and Allergy Medication Use in Patients With Allergic Rhinitis","authors":"Morten Borg,&nbsp;Ole Hilberg,&nbsp;Rikke Ibsen,&nbsp;Anders Løkke","doi":"10.1111/cea.70159","DOIUrl":"10.1111/cea.70159","url":null,"abstract":"","PeriodicalId":10207,"journal":{"name":"Clinical and Experimental Allergy","volume":"56 1","pages":"103-105"},"PeriodicalIF":5.2,"publicationDate":"2025-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145279042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Direct and Indirect Pathways Between Patient, Health System and Socioeconomic Factors and Medication Adherence in Asthma","authors":"Tunn Ren Tay,&nbsp;Mon Hnin Tun,&nbsp;Sudev Suthendran,&nbsp;Nicole Yu-Fang Sieow,&nbsp;Yan Cao,&nbsp;Soyah Binti Mohamed Noor,&nbsp;Hui Ye,&nbsp;Haijuan Chen,&nbsp;Xiao Ling Li,&nbsp;Norlidah Binte Mohd Noor,&nbsp;Nuraini Binte Mohamed Razali,&nbsp;Chee Wei Tan,&nbsp;Choon How How","doi":"10.1111/cea.70160","DOIUrl":"10.1111/cea.70160","url":null,"abstract":"","PeriodicalId":10207,"journal":{"name":"Clinical and Experimental Allergy","volume":"56 2","pages":"167-169"},"PeriodicalIF":5.2,"publicationDate":"2025-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145279099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intestinal Fibroblasts Orchestrate IL-4-Driven Th2 Polarisation in Food Allergy via Paracrine Signalling and Nanotherapeutic Targeting","authors":"Botang Guo,&nbsp;Hanqing Zhang,&nbsp;Yong Yu,&nbsp;Yang Mi,&nbsp;Pengyuan Zheng,&nbsp;Ping Tang,&nbsp;Pingchang Yang,&nbsp;Minyao Li","doi":"10.1111/cea.70157","DOIUrl":"10.1111/cea.70157","url":null,"abstract":"","PeriodicalId":10207,"journal":{"name":"Clinical and Experimental Allergy","volume":"55 12","pages":"1272-1275"},"PeriodicalIF":5.2,"publicationDate":"2025-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145279037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Featured Cover","authors":"T. T. Ma,&nbsp;C. E. Fan,&nbsp;X. Tong,&nbsp;C. Y. An,&nbsp;H. J. Cai,&nbsp;L. Y. Ai,&nbsp;Y. F. Li,&nbsp;D. Y. Wang,&nbsp;X. D. Wang,&nbsp;G. L. Shang,&nbsp;Y. D. Hu,&nbsp;Y. F. Bai,&nbsp;Y. L. Chen,&nbsp;H. T. Wang,&nbsp;H. Y. Ning,&nbsp;L. Zhang,&nbsp;J. J. Zhang,&nbsp;X. Y. Wang","doi":"10.1111/cea.70147","DOIUrl":"https://doi.org/10.1111/cea.70147","url":null,"abstract":"<p>The cover image is based on the article <i>Epidemiology, Diagnosis and Prevention of Allergic Rhinitis in High-Pollen Areas of Northern China</i> by T. T. Ma et al., https://doi.org/10.1111/cea.70087.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure>\u0000 </p>","PeriodicalId":10207,"journal":{"name":"Clinical and Experimental Allergy","volume":"55 10","pages":""},"PeriodicalIF":5.2,"publicationDate":"2025-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/cea.70147","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145272744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}