ArticleRespiratory research2022
Peripheral blood transcriptomic clusters uncovered immune phenotypes of asthma.
Article in Respiratory research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 14 citations in OpenAlex.
- Metabolite-Based Endotypes of Asthma Reveal Distinct Clinical Characteristics and Immune Cell Signatures.Allergy · 2026Article
- Emerging Targeted Therapies in Asthma: From Upstream Epithelial Biology to Novel Biologic and Small-Molecule Strategies.Tuberculosis and respiratory diseases · 2026Review
- Plasma metabolomic signatures associated with inhaled corticosteroid requirements in clinically stable asthma: a prospective cross-sectional study.Respiratory research · 2026Article
- Distinct blood transcriptomic profiling underlying asthma establishment and exacerbation.The journal of allergy and clinical immunology. Global · 2026Article
- Metabolomic Clusters and Their Association with Small Airway Disease in Asthma.Journal of asthma and allergy · 2026Article
- Extended antibiotic exposure and exacerbations, mortality, and healthcare costs in asthma.Scientific reports · 2025Article
- Epigenetic patient stratification reveals a sub-endotype of type 2 asthma with altered B-cell response.medRxiv : the preprint server for health sciences · 2025Article
- Frequent exacerbator-a novel endotype of pediatric asthma.The Journal of allergy and clinical immunology · 2025Review
- Epigenetic patient stratification via contrastive machine learning refines hallmark biomarkers in minoritized children with asthma.Research square · 2024Article
- Article
- Grand challenges in genetics and epidemiology of allergic diseases: from genome to exposome and back.Frontiers in allergy · 2024Article
- Childhood asthma phenotypes and endotypes: a glance into the mosaic.Molecular and cellular pediatrics · 2023Review
- Alarmins and MicroRNAs, a New Axis in the Genesis of Respiratory Diseases: Possible Therapeutic Implications.International journal of molecular sciences · 2023Review
Corrections and comments
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Authors and funding
12 authors at 8 institutions in 1 country.
Funding
Abstract
backgroundTranscriptomic analysis has been used to elucidate the complex pathogenesis of heterogeneous disease and may also contribute to identify potential therapeutic targets by delineating the hub genes. This study aimed to investigate whether blood transcriptomic clustering can distinguish clinical and immune phenotypes of asthmatics, and microbiome in asthmatics.
methodsTranscriptomic expression of peripheral blood mononuclear cells (PBMCs) from 47 asthmatics and 21 non-asthmatics was measured using RNA sequencing. A hierarchical clustering algorithm was used to classify asthmatics. Differentially expressed genes, clinical phenotypes, immune phenotypes, and microbiome of each transcriptomic cluster were assessed.
resultsIn asthmatics, three distinct transcriptomic clusters with numerously different transcriptomic expressions were identified. The proportion of severe asthmatics was highest in cluster 3 as 73.3%, followed by cluster 2 (45.5%) and cluster 1 (28.6%). While cluster 1 represented clinically non-severe T2 asthma, cluster 3 tended to include severe non-T2 asthma. Cluster 2 had features of both T2 and non-T2 asthmatics characterized by the highest serum IgE level and neutrophil-dominant sputum cell population. Compared to non-asthmatics, cluster 1 showed higher CCL23 and IL1RL1 expression while the expression of TREML4 was suppressed in cluster 3. CTSD and ALDH2 showed a significant positive linear relationship across three clusters in the order of cluster 1 to 3. No significant differences in the diversities of lung and gut microbiomes were observed among transcriptomic clusters of asthmatics and non-asthmatics. However, our study has limitations in that small sample size data were analyzed with unmeasured confounding factors and causal relationships or function pathways were not verified.
conclusionsGenetic clustering based on the blood transcriptome may provide novel immunological insight, which can be biomarkers of asthma immune phenotypes. Trial registration Retrospectively registered.
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