Eileen Wang, William Henley, Désirée Larenas-Linnemann, Lakmini Bulathsinhala, Trung N Tran, Michael E Wechsler, Shawn D Aaron, Mona Al-Ahmad, Riyad Al-Lehebi, Alan Altraja, Peter Barker, Aaron Beastall, Andrey S Belevskiy, Celine Bergeron, Leif Bjermer, Unnur S Björnsdóttir, Sinthia Z Bosnic-Anticevich, Arnaud Bourdin, Guy G Brusselle, John Busby, Giorgio Walter Canonica, Victoria Carter, Kenneth R Chapman, Nicholas Chapman, George C Christoff, Borja G Cosio, Richard W Costello, James Fingleton, João A Ioa Fonseca, Mina Gaga, Peter G Gibson, Susanne Hansen, Liam G Heaney, Enrico Heffler, Mark Hew, Takahiko Horiguchi, Flavia Hoyte, Richard B Hubbard, Takashi Iwanaga, David J Jackson, Rohit Katial, Mariko Siyue Koh, Konstantinos Kostikas, Piotr Kuna, Sverre Lehmann, Lauri Lehtimäki, Renaud Louis, Dóra Lúdvíksdóttir, Njira Lugogo, Bassam Mahboub, Neil Martin, Jorge Máspero, Andrew N Menzies-Gow, Arjun Mohan, Ruth B Murray, Tatsuya Nagano, Nikolaos G Papadopoulos, Andriana I Papaioannou, Pujan H Patel, Luis Perez-de-Llano, Diahn-Warng Perng, Matthew J Peters, Paul E Pfeffer, Paulo Márcio Pitrez, Roy Alton Pleasants, Todor A Popov, Celeste M Porsbjerg, Francesca Puggioni, Anna Quinton, Chin Kook Rhee, Mohsen Sadatsafavi, Sundeep Salvi, Giulia Scioscia, Chau-Chyun Sheu, Concetta Sirena, Camille Taillé, Christian Taube, Carlos A Torres-Duque, Ming-Ju Tsai, Alf Tunsäter, Charlotte Suppli Ulrik, David B Price
{"title":"Response to biologics along a gradient of T2 involvement in patients with severe asthma: a data-driven biomarker clustering approach.","authors":"Eileen Wang, William Henley, Désirée Larenas-Linnemann, Lakmini Bulathsinhala, Trung N Tran, Michael E Wechsler, Shawn D Aaron, Mona Al-Ahmad, Riyad Al-Lehebi, Alan Altraja, Peter Barker, Aaron Beastall, Andrey S Belevskiy, Celine Bergeron, Leif Bjermer, Unnur S Björnsdóttir, Sinthia Z Bosnic-Anticevich, Arnaud Bourdin, Guy G Brusselle, John Busby, Giorgio Walter Canonica, Victoria Carter, Kenneth R Chapman, Nicholas Chapman, George C Christoff, Borja G Cosio, Richard W Costello, James Fingleton, João A Ioa Fonseca, Mina Gaga, Peter G Gibson, Susanne Hansen, Liam G Heaney, Enrico Heffler, Mark Hew, Takahiko Horiguchi, Flavia Hoyte, Richard B Hubbard, Takashi Iwanaga, David J Jackson, Rohit Katial, Mariko Siyue Koh, Konstantinos Kostikas, Piotr Kuna, Sverre Lehmann, Lauri Lehtimäki, Renaud Louis, Dóra Lúdvíksdóttir, Njira Lugogo, Bassam Mahboub, Neil Martin, Jorge Máspero, Andrew N Menzies-Gow, Arjun Mohan, Ruth B Murray, Tatsuya Nagano, Nikolaos G Papadopoulos, Andriana I Papaioannou, Pujan H Patel, Luis Perez-de-Llano, Diahn-Warng Perng, Matthew J Peters, Paul E Pfeffer, Paulo Márcio Pitrez, Roy Alton Pleasants, Todor A Popov, Celeste M Porsbjerg, Francesca Puggioni, Anna Quinton, Chin Kook Rhee, Mohsen Sadatsafavi, Sundeep Salvi, Giulia Scioscia, Chau-Chyun Sheu, Concetta Sirena, Camille Taillé, Christian Taube, Carlos A Torres-Duque, Ming-Ju Tsai, Alf Tunsäter, Charlotte Suppli Ulrik, David B Price","doi":"10.1016/j.jaip.2025.08.021","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Asthma with low levels of T2-biomarkers is poorly understood.</p><p><strong>Objective: </strong>To characterize severe asthma phenotypes and compare pre- to post-biologic change in asthma outcomes along a gradient of T2-involvement.</p><p><strong>Methods: </strong>This was a registry-based, cohort study including data from 24 countries. Biomarker distribution (BEC, FeNO, IgE) was quantified pre-biologic initiation. Clusters were identified using a five-component Gaussian finite mixture model and phenotypically characterized. Change in asthma and healthcare utilization outcomes between 1-year pre- and post-biologic initiation were compared between clusters and by biologic class.</p><p><strong>Results: </strong>Amongst 3,675 patients Five biomarker clusters) were identified along a gradient of T2-involvement: Cluster A with the lowest T2-involvement (16.4%), Cluster B (20.4%), Cluster C (22.9%), Cluster D (30.3%), and cluster E with the highest T2-involvement (10.0%). In multivariable analysis, biologic use was associated with improved outcomes in all clusters but tended to be better at the higher end of the T2 spectrum. For example, patients in cluster C had a significantly greater increase in FEV<sub>1</sub> relative to cluster A (difference 0.16L [95% CI 0.08, 0.25]; p<0.001). The odds of uncontrolled asthma were approximately 0.6 for all clusters relative to cluster A.Overall, exacerbation rates were lower and greater improvements in lung function and asthma control were noted for anti-IL-5/5R (but not anti-IgE or anti-IL4Rα) for all clusters relative to cluster A.</p><p><strong>Conclusion: </strong>T2-targeting biologics have utility in the management of asthma with low T2 involvement, but more effective therapies are needed. Further research is warranted to identify specific pathogenic pathways at the lower end of the T2 spectrum that can be effectively targeted by biologics.</p>","PeriodicalId":51323,"journal":{"name":"Journal of Allergy and Clinical Immunology-In Practice","volume":" ","pages":""},"PeriodicalIF":6.6000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Allergy and Clinical Immunology-In Practice","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jaip.2025.08.021","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ALLERGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Asthma with low levels of T2-biomarkers is poorly understood.
Objective: To characterize severe asthma phenotypes and compare pre- to post-biologic change in asthma outcomes along a gradient of T2-involvement.
Methods: This was a registry-based, cohort study including data from 24 countries. Biomarker distribution (BEC, FeNO, IgE) was quantified pre-biologic initiation. Clusters were identified using a five-component Gaussian finite mixture model and phenotypically characterized. Change in asthma and healthcare utilization outcomes between 1-year pre- and post-biologic initiation were compared between clusters and by biologic class.
Results: Amongst 3,675 patients Five biomarker clusters) were identified along a gradient of T2-involvement: Cluster A with the lowest T2-involvement (16.4%), Cluster B (20.4%), Cluster C (22.9%), Cluster D (30.3%), and cluster E with the highest T2-involvement (10.0%). In multivariable analysis, biologic use was associated with improved outcomes in all clusters but tended to be better at the higher end of the T2 spectrum. For example, patients in cluster C had a significantly greater increase in FEV1 relative to cluster A (difference 0.16L [95% CI 0.08, 0.25]; p<0.001). The odds of uncontrolled asthma were approximately 0.6 for all clusters relative to cluster A.Overall, exacerbation rates were lower and greater improvements in lung function and asthma control were noted for anti-IL-5/5R (but not anti-IgE or anti-IL4Rα) for all clusters relative to cluster A.
Conclusion: T2-targeting biologics have utility in the management of asthma with low T2 involvement, but more effective therapies are needed. Further research is warranted to identify specific pathogenic pathways at the lower end of the T2 spectrum that can be effectively targeted by biologics.
期刊介绍:
JACI: In Practice is an official publication of the American Academy of Allergy, Asthma & Immunology (AAAAI). It is a companion title to The Journal of Allergy and Clinical Immunology, and it aims to provide timely clinical papers, case reports, and management recommendations to clinical allergists and other physicians dealing with allergic and immunologic diseases in their practice. The mission of JACI: In Practice is to offer valid and impactful information that supports evidence-based clinical decisions in the diagnosis and management of asthma, allergies, immunologic conditions, and related diseases.
This journal publishes articles on various conditions treated by allergist-immunologists, including food allergy, respiratory disorders (such as asthma, rhinitis, nasal polyps, sinusitis, cough, ABPA, and hypersensitivity pneumonitis), drug allergy, insect sting allergy, anaphylaxis, dermatologic disorders (such as atopic dermatitis, contact dermatitis, urticaria, angioedema, and HAE), immunodeficiency, autoinflammatory syndromes, eosinophilic disorders, and mast cell disorders.
The focus of the journal is on providing cutting-edge clinical information that practitioners can use in their everyday practice or to acquire new knowledge and skills for the benefit of their patients. However, mechanistic or translational studies without immediate or near future clinical relevance, as well as animal studies, are not within the scope of the journal.