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Defining Molecular Endotypes in Severe Asthma Through Genomic and Proteomic Data Integration
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Author(s): Harsh Virendrabhai Purohit (RK University, India)and Veda Pandya (RK University, India)
Copyright: 2026
Pages: 30
Source title:
Next-Generation Bioinformatics for Pulmonary Disease Research
Source Author(s)/Editor(s): Devvret Verma (Graphic Era University, India), Debasis Mitra (Graphic Era University, India), Bhavya Mudgal (Graphic Era University, India), Suraj Vitthaloo Atram (The University of Sheffield, UK)and Rokayya Sami (Taif University, Saudi Arabia)
DOI: 10.4018/979-8-3373-4923-7.ch006
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Abstract
Severe asthma is a complex disease that remains uncontrolled in many individuals despite optimized therapy. This chapter offers a comprehensive overview of the epidemiological and clinical burden of severe asthma, emphasizing the limitations of conventional phenotypic classifications. It highlights the transition toward molecular endotyping, where subtypes are defined by distinct biological pathways. Key findings from recent genomic, transcriptomic, and proteomic research are presented, identifying susceptibility loci and protein biomarkers linked to clinically relevant endotypes. Integrative case studies, such as those from the U-BIOPRED consortium, demonstrate how multi-omics approaches reveal eosinophilic and neutrophilic endotypes with specific immune and microbial signatures. The chapter also discusses data integration strategies, including consensus clustering and network fusion, as well as practical implications for biomarker discovery, personalized therapeutics, and future directions in precision asthma medicine.
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