Blood Exosomal Multi-omics and Lung Radiomics for Predicting Efficacy and Prognosis of Severe Eosinophilic ACOS (Asthma-COPD Overlap Syndrome) Treated With Different Biologics: A Real-World Observational Study
Blood Exosomal Multi-omics and Lung Radiomics for Predicting Efficacy and Prognosis of Severe Eosinophilic ACOS (Asthma-COPD Overlap Syndrome) Treated With Different Biologics: A Real-World Observational Study
Firstly, to screen blood exosomal multi-omics (transcriptomics, proteomics, metabolomics) and lung radiomics (HRCT, Xe129MRI) biomarkers that can predict efficacy and prognosis in severe eosinophilic ACOS (asthma-COPD overlap) patients treated with different biologics (benralizumab, mepolizumab, dupilumab). Then, to prospectively follow patients for 48 weeks after biologic initiation and collect clinical data, blood samples, and imaging features. Finally, to build a multi-dimensional predictive model for efficacy and prognosis of severe eosinophilic ACOS.
Firstly, eligible patients (age ≥14 years, diagnosis of severe eosinophilic ACOS, blood eosinophils ≥150/μL within 3 months or ≥300/μL within 1 year, and clinician decision to start a biologic) will be enrolled. Exclusion criteria include concurrent trial participation, allergy to biologics, malignancy, or prior biologic use.
Then, patients are followed for 48 weeks after the first biologic dose. Visits occur at weeks 0, 1, 2, 4, 8, 16, 24, 40, and 48. Data collected include demographics, medical history, ACQ-6, MiniAQLQ, pre-BD FEV1, exacerbations, medication use, adverse events, and blood routine tests (residual samples for exosome analysis). HRCT and Xe129MRI are optional.
Next, the primary outcome is the composite endpoint of efficacy and prognosis at week 48, defined as: no ACOS exacerbation, no oral corticosteroids, pre-BD FEV1 improvement ≥100 mL from baseline, and ACQ-6 score <1.5 (or ≤0.75). Secondary outcomes include changes in ACQ-6, FEV1, annualized exacerbation rate, MiniAQLQ, OCS dose reduction, and blood exosomal multi-omics and lung radiomics biomarkers.
Finally, statistical analyses include descriptive statistics, paired t-test/Wilcoxon, ANOVA/Kruskal-Wallis, mixed-effects model for repeated measures (MMRM), differential expression analysis (DESeq2/limma), pathway enrichment, machine learning (LASSO, random forest), ROC curves, logistic regression, and Cox regression. A total of 500 patients will be enrolled from multiple centers in China.
Inclusion Criteria:
Exclusion Criteria:
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