Systematic Bioinformatics Review Maps Asthma Molecular Architecture Across Thirty-One Cell Types

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Frontiers in Medicine Published April 25, 2026 Medically reviewed May 25, 2026 DOI ↗ By Dr. Amelia Tan, PhD · Internal Medicine & Chronic Disease

Key Takeaway

Consider this review for target identification, but interpret findings as observational data rather than trial results.

This publication is a systematic bioinformatics literature review focusing on the molecular systems architecture of asthma. The scope encompasses thirty-one pulmonary, immune, and neuronal cell types involved in allergic-eosinophilic and non-allergic asthma phenotypes. The analysis utilizes the CytoSolve® systems biology platform and process to evaluate environmental triggers such as pollutants and infections, alongside psychological stress.

Key findings include identified biomolecular interactions across the specified thirty-one cell types. The review outlines core pathobiological processes such as airway inflammation, hyperresponsiveness, and remodeling. Additionally, the authors note an amplification of airway inflammation via brain-lung cross-talk from psychological comorbidities. Secondary outcomes included associations between triggers and biomolecular interactions.

The authors explicitly state that associations exist between various triggers and biomolecular interactions rather than definitive causal pathways. Specific sample sizes, settings, and follow-up durations were not reported. Safety data, including adverse events or tolerability, were not reported within this review. The authors caution against interpreting the systems architecture as a clinical trial result.

Practice relevance focuses on target identification, discovery of single and combination therapeutics, biomarkers, and clinical strategies to treat asthma endotypes. Clinicians should interpret these systems architecture findings as observational data rather than clinical trial results. Do not infer specific drug efficacy or safety data from this source.

Study Details

Study typeSystematic review

EvidenceLevel 1

PublishedApr 2026

View Original Abstract ↓

BackgroundAsthma is a heterogeneous inflammatory disease driven by complex genetic, immunological, environmental, and neuro-immune interactions. Modern therapeutic strategies increasingly target distinct molecular mechanisms underlying specific asthma endotypes. Emerging evidence highlights the role of psychological stress in modulating the neuro-immune axis, contributing to allergic airway inflammation. Systems biology offers a powerful framework to understand the multi-cellular and cross-organ interactions between lung and brain microenvironments that drive asthma pathogenesis.ObjectiveTo develop a molecular systems architecture of asthma using the CytoSolve® systems biology platform and process. This approach enables a multi-layered, systems-level analysis of molecular pathway interactions across thirty-one pulmonary, immune, and neuronal cell types involved in allergic-eosinophilic and non-allergic asthma phenotypes, and identifies potential therapeutic targets.MethodsA systematic bioinformatics literature review was conducted using Medical Subject Headings (MeSH) across PubMed, Medline, and Google Scholar, covering peer-reviewed publications from January 2008 to August 2025. Relevant full-length articles were curated and analyzed using the CytoSolve® platform to construct a molecular systems architecture of asthma. The relevant literature was critically analyzed to understand the link between environmental and psychological stress triggers that drive asthma pathogenesis and disease exacerbations.ResultThe systems architecture identified biomolecular interactions across thirty-one cell types spanning bronchial, immune, stromal, vascular, endocrine, and neuronal compartments, including airway epithelial cells, T-cells, eosinophils, mast cells, fibroblasts, microglia, hypothalamic and brainstem neurons, vagal sensory neurons, and autonomic airway neurons. Environmental triggers such as pollutants and infections initiate cascades that promote three core pathobiological processes: airway inflammation, hyperresponsiveness, and remodeling. Psychological comorbidities, including anxiety and depression, further amplify airway inflammation through brain-lung cross-talk, contributing to neuronal inflammation and asthma exacerbations.ConclusionsThis system architecture generated a multilayered visual map that shows the associations between various triggers and biomolecular interactions across airway and neuronal cell types in the lung and brain microenvironment, respectively. The architecture may be utilized for target identification, discovery of single and combination therapeutics, biomarkers, and clinical strategies to treat asthma endotypes.