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T-helper cell type 2 (Th2) and non-Th2 molecular phenotypes of asthma using sputum transcriptomics in U-BIOPRED

Open access
Kuo, Chih-Hsi Scott, Pavlidis, Stelios, Loza, Matthew, Baribaud, Fred, Rowe, Anthony, Pandis, Iaonnis, Sousa, Ana, Corfield, Julie, Djukanovic, Ratko, Lutter, Rene, Sterk, Peter J., Auffray, Charles, Guo, Yike, Adcock, Ian M., Chung, Kian Fan·2017·European Respiratory Journal

Abstract

Asthma is characterised by heterogeneous clinical phenotypes. Our objective was to determine molecular phenotypes of asthma by analysing sputum cell transcriptomics from 104 moderate-to-severe asthmatic subjects and 16 nonasthmatic subjects. After filtering on the differentially expressed genes between eosinophil- and noneosinophil-associated sputum inflammation, we used unbiased hierarchical clustering on 508 differentially expressed genes and gene set variation analysis of specific gene sets. We defined three transcriptome-associated clusters (TACs): TAC1 (characterised by immune receptors IL33R,CCR3 and TSLPR), TAC2 (characterised by interferon-, tumour necrosis factor-α- and inflammasome-associated genes) and TAC3 (characterised by genes of metabolic pathways, ubiquitination and mitochondrial function). TAC1 showed the highest enrichment of gene signatures for interleukin-13/T-helper cell type 2 (Th2) and innate lymphoid cell type 2. TAC1 had the highest sputum eosinophilia and exhaled nitric oxide fraction, and was restricted to severe asthma with oral corticosteroid dependency, frequent exacerbations and severe airflow obstruction. TAC2 showed the highest sputum neutrophilia, serum C-reactive protein levels and prevalence of eczema. TAC3 had normal to moderately high sputum eosinophils and better preserved forced expiratory volume in 1 s. Gene–protein coexpression networks from TAC1 and TAC2 extended this molecular classification. We defined one Th2-high eosinophilic phenotype TAC1, and two non-Th2 phenotypes TAC2 and TAC3, characterised by inflammasome-associated and metabolic/mitochondrial pathways, respectively.

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Metadata

Authors
Kuo, C.-H. S., Pavlidis, S., Loza, M., Baribaud, F., Rowe, A., Pandis, I., Sousa, A., Corfield, J., Djukanovic, R., Lutter, R., Sterk, P. J., Auffray, C., Guo, Y., Adcock, I. M., & Chung, K. F.
Venue
European Respiratory Journal
Published
2017-02
Volume
49
Issue
2
Pages
1602135
ISSN
  • 0903-1936 (ISSN-L)
  • 1399-3003
OpenAlex
W2586238008
Cited by
369
References
41
FWCI
26.61
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: T-helper cell type 2 (Th2) and non-Th2 molecular phenotypes of asthma using sputum transcriptomics in U-BIOPRED. https://app.cochat.ai/papers/10.1183/13993003.02135-2016
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Kuo, C.-H. S., Pavlidis, S., Loza, M., Baribaud, F., Rowe, A., Pandis, I., Sousa, A., Corfield, J., Djukanovic, R., Lutter, R., Sterk, P. J., Auffray, C., Guo, Y., Adcock, I. M., & Chung, K. F. (2017). T-helper cell type 2 (Th2) and non-Th2 molecular phenotypes of asthma using sputum transcriptomics in U-BIOPRED. European Respiratory Journal. https://doi.org/10.1183/13993003.02135-2016

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.