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Journal article : Review

After the escalator: narrative review of biomarker-guided asthma care

Abstract:
Asthma, the most common chronic respiratory disease, is characterized by variable symptoms, airflow limitation, and airway inflammation. Current management relies largely on a symptom-focused stepwise escalation approach which often leads to suboptimal outcomes. This review examines how type-2 (T2) inflammatory biomarkers – blood eosinophils and fractional exhaled nitric oxide (FeNO) – can complement symptom-based assessment to optimize care pathways. We synthesize evidence for biomarker-guided management across five critical decision points: diagnostic triage, inhaled corticosteroid (ICS) initiation and dose escalation, acute attack phenotyping, and biologic selection. Across trials and observational cohorts, biomarker-high patients derived substantially greater benefit with ICS-based therapy, while biomarker-low patients had a worse benefit-harm profile. Each section is balanced by a review of data in disfavor of biomarker-based management. Indeed, tests for type-2 inflammation may be criticized in terms of accessibility or variability and require threshold validation. Nevertheless, the cumulated evidence suggests that future trials and studies of biomarker integration into diagnostic and treatment pathways may help streamline management for the most at-risk patients, from diagnosis to treatment intensification. The analogy of ‘fast and slow lanes’ for diagnostic and treatment algorithms is developed. The utility of alternative treatable traits including chronic airway infection, persistent airflow limitation, and breathing pattern disorders is also explored. The quality and counterpoints of the reviewed evidence emphasize that biomarkers should complement rather than replace comprehensive clinical assessment to optimize care for all phenotypes. Trials and studies of interventions tailored according to blood eosinophils, FeNO, and other key treatable traits are urgently needed across diagnostic and treatment algorithms for asthma.
Publication status:
In press
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.anai.2026.05.027

Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
NDM Strategic
Role:
Author
ORCID:
0000-0002-4288-5973
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
NDM Experimental Medicine
Oxford college:
Kellogg College
Role:
Author
ORCID:
0000-0002-4057-6886


Publisher:
Elsevier
Journal:
Annals of Allergy, Asthma and Immunology More from this journal
Publication date:
2026-05-27
Acceptance date:
2026-05-19
DOI:
EISSN:
1534-4436
ISSN:
1081-1206


Language:
English
Keywords:
Subtype:
Review
Pubs id:
2423859
Local pid:
pubs:2423859
Deposit date:
2026-05-27
ARK identifier:

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