ArticleAllergy2025
Multiomic Integration Analysis for Monitoring Severe Asthma Treated With Mepolizumab or Omalizumab.
Article in Allergy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Clonal dynamics, tolerance, and adverse events after CD45-ADC-conditioned autologous HSPC transplantation in macaques.Blood advances · 2026Article
- Exploratory investigation of changes in blood transcriptome following mepolizumab treatment for asthma.Frontiers in immunology · 2026Article
- Integrated multi-omics analysis of metabolomics and proteomics uncovers dysregulated amino acid metabolism in HCC metastasis.Frontiers in immunology · 2026Article
- Using biomarkers and independent predictors of therapy response to optimize treatment of uncontrolled severe asthma in the biologic era.Frontiers in allergy · 2025Review
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Authors and funding
17 authors.
Funding
Abstract
rationaleBiologics are becoming increasingly important in the management of severe asthma. However, little is known about the systemic immunometabolic consequences of Th2 response blockage.
objectivesTo provide a better immunometabolic understanding of the effects of mepolizumab and omalizumab treatments by identifying potential biomarkers for monitoring.
methodsIn this exploratory longitudinal study severe asthmatic patients were followed for 18 months after initiating mepolizumab (n = 36) or Omalizumab (n = 20) treatment. Serum samples were collected before, 6, and 18 months after treatment. Targeted omic approaches were performed to analyze inflammatory metabolites (n = 35) and proteins (n = 45). Multiomic integration was performed individually for each treatment applying supervised analysis Data Integration Analysis for Biomarker discovery using Latent cOmponents (DIABLO) framework. Then, potential biomarkers were confirmed using multivariate ROC analyses and correlated with clinical variables along treatment. MEASUREMENTS AND MAIN
resultsMepolizumab and omalizumab were both effective (improved clinical variables) and showed different and specific metabolic and protein profiles in severe asthmatic patients during treatment. Multiomic integration and multivariate ROC analyses identified specific biomarkers, such as arachidonic acid, palmitoleic acid, oleic acid, propionylcarnitine, bilirubin, CCL11, and TNFSF10, which can explain the differences observed with Mepolizumab treatment over 18 months and significantly correlate with clinical improvement. However, no significant biomolecules and no discriminative multivariate ROC curves were found for Omalizumab treatment.
conclusionsOur results provide a comprehensive insight into the differential effects of mepolizumab and omalizumab on the immunometabolic kinetics of the inflammatory response in severe asthma. We identified a set of biomolecules with potential for monitoring mepolizumab treatment which could be useful for personalized medicine.
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