Work

Development of a Panel of Molecular Biomarkers of Asthma: Analysis of Differential Expression and Stability Over Time

Year: 2026

Type: article

Abstract: BACKGROUND: Asthma is a chronic inflammatory respiratory disease characterized by significant heterogeneity, which complicates accurate patient classification and management. With the aim of defining new, reliable biomarkers, we previously evaluated the potential of 94 genes to differentiate allergic asthma (AA) from nonallergic asthma (NA) based on their expression in peripheral blood mononuclear cells (PBMCs). Here, the most promising biomarkers were further analyzed in a 2-year longitudinal cohort of 24 healthy controls (HCs), 18 NA patients, and 51 AA patients. METHODS: PBMC samples were collected at the beginning of the study (T0) and 2 years later (T2). The expression of 26 genes was analyzed using RT-qPCR. Genes showing stable expression over time (ie, with a high correlation between T0 and T2) were selected for further analysis. Differential expression and receiver operating characteristic (ROC) curve analysis were used to identify the best biomarkers for discrimination between phenotypes. RESULTS: Longitudinal stability was good for 13 genes. Of these, 11 showed statistically significant differential expression between asthma patients and HCs. ROC curve analyses were used to rank these genes by their discriminatory power. Specifically, CPA3 expression was able to discriminate asthma patients from HCs, while LGALS3 and TGFß1 made it possible to differentiate between NA and AA. Additionally, asthma severity was assessed based on the expression levels of RNASE3, IL4R, CHI3L1, PI3, and IL1R2. CONCLUSIONS: We propose a diagnostic algorithm based on the expression profiles of 8 genes in PBMCs that could guide clinicians in the diagnosis and phenotypic classification of asthma.

Source: Journal of Investigational Allergology and Clinical Immunology

DOI: 10.18176/jiaci.1168

Authors: Lucía Cremades-Jimeno, María López-Ramos, Selen Baos, Rubén Fernández-Santamaría, María de Pedro, Ignacio Mahíllo-Fernández, Cristina Rosales-Ariza, José Olaguibel, Victoria del Pozo, María Caballero, Juan Luna-Porta, Santiago Quirce, Blanca Barroso, Diana Betancor, Marcela Valverde-Monge, Joaquín Sastre, Blanca Cárdaba

Institutions: Hospital Universitario Fundación Jiménez Díaz, Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, Universidad de Navarra, Hospital Universitario La Paz

Language: English

Topic: Asthma and respiratory diseases

Subfield: Physiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W7140683297

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