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- Kuo, Chih-Hsi Scott, et al.
(author)
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A transcriptome-driven analysis of epithelial brushings and bronchial biopsies to define asthma phenotypes in U-BIOPRED
- 2017
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In: American Journal of Respiratory and Critical Care Medicine. - 1073-449X .- 1535-4970. ; 194:4, s. 443-455
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Journal article (peer-reviewed)abstract
- RATIONALE AND OBJECTIVES: Asthma is a heterogeneous disease driven by diverse immunologic and inflammatory mechanisms. We used transcriptomic profiling of airway tissues to help define asthma phenotypes.METHODS: The transcriptome from bronchial biopsies and epithelial brushings of 107 moderate-to-severe asthmatics were annotated by gene-set variation analysis (GSVA) using 42 gene-signatures relevant to asthma, inflammation and immune function. Topological data analysis (TDA) of clinical and histological data was used to derive clusters and the nearest shrunken centroid algorithm used for signature refinement.RESULTS: 9 GSVA signatures expressed in bronchial biopsies and airway epithelial brushings distinguished two distinct asthma subtypes associated with high expression of T-helper type 2 (Th-2) cytokines and lack of corticosteroid response (Group 1 and Group 3). Group 1 had the highest submucosal eosinophils, high exhaled nitric oxide (FeNO) levels, exacerbation rates and oral corticosteroid (OCS) use whilst Group 3 patients showed the highest levels of sputum eosinophils and had a high BMI. In contrast, Group 2 and Group 4 patients had an 86% and 64% probability of having non-eosinophilic inflammation. Using machine-learning tools, we describe an inference scheme using the currently-available inflammatory biomarkers sputum eosinophilia and exhaled nitric oxide levels along with OCS use that could predict the subtypes of gene expression within bronchial biopsies and epithelial cells with good sensitivity and specificity.CONCLUSION: This analysis demonstrates the usefulness of a transcriptomic-driven approach to phenotyping that segments patients who may benefit the most from specific agents that target Th2-mediated inflammation and/or corticosteroid insensitivity.
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| 2. |
- Kuo, Chih-Hsi S., et al.
(author)
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Contribution of airway eosinophils in airway wall remodeling in asthma : Role of MMP-10 and MET
- 2019
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In: Allergy. European Journal of Allergy and Clinical Immunology. - : John Wiley & Sons. - 0105-4538 .- 1398-9995. ; 74:6, s. 1102-1112
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Journal article (peer-reviewed)abstract
- Background Eosinophils play an important role in the pathophysiology of asthma being implicated in airway epithelial damage and airway wall remodeling. We determined the genes associated with airway remodeling and eosinophilic inflammation in patients with asthma. Methods We analyzed the transcriptomic data from bronchial biopsies of 81 patients with moderate-to-severe asthma of the U-BIOPRED cohort. Expression profiling was performed using Affymetrix arrays on total RNA. Transcription binding site analysis used the PRIMA algorithm. Localization of proteins was by immunohistochemistry. Results Using stringent false discovery rate analysis, MMP-10 and MET were significantly overexpressed in biopsies with high mucosal eosinophils (HE) compared to low mucosal eosinophil (LE) numbers. Immunohistochemical analysis confirmed increased expression of MMP-10 and MET in bronchial epithelial cells and in subepithelial inflammatory and resident cells in asthmatic biopsies. Using less-stringent conditions (raw P-value < 0.05, log2 fold change > 0.5), we defined a 73-gene set characteristic of the HE compared to the LE group. Thirty-three of 73 genes drove the pathway annotation that included extracellular matrix (ECM) organization, mast cell activation, CC-chemokine receptor binding, circulating immunoglobulin complex, serine protease inhibitors, and microtubule bundle formation pathways. Genes including MET and MMP10 involved in ECM organization correlated positively with submucosal thickness. Transcription factor binding site analysis identified two transcription factors, ETS-1 and SOX family proteins, that showed positive correlation with MMP10 and MET expression. Conclusion Pathways of airway remodeling and cellular inflammation are associated with submucosal eosinophilia. MET and MMP-10 likely play an important role in these processes.
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| 3. |
- Wilson, Susan Jane, et al.
(author)
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Periostin expression in the U-BIOPRED severe asthma bronchoscopy cohort
- 2018
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In: European Respiratory Journal. - : European Respiratory Society. - 0903-1936 .- 1399-3003. ; 52
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Journal article (other academic/artistic)abstract
- Periostin (POSTN) is secreted basolaterally by bronchial epithelial cells in asthma and is expressed in the extracellular matrix where it is thought to play a role in fibrosis and is associated with airway eosinophilia.In this study we have assessed the protein expression of POSTN in bronchial biopsies by immunohistochemistry, in serum by the Elecsys Periostin Immunoassay and measured gene expression by Affymetrix arrays in bronchial biopsies, bronchial brushings and in sputum in the U-BIOPRED severe asthma study in the bronchoscopy sub-cohort, which included 4 groups; severe non-smoker asthmatics (SAns), current / ex-smoker severe asthmatics (SAs), mild-moderate asthmatics (MMA) and non-asthmatic healthy controls (HC).Subepithelial protein expression in the bronchial biopsies was higher (p=0.02) in SAns, 9.2% (IQR 5.8-12.6)(n=44) compared to SAs 6.2% (3-9.2)(n=16), and in MMA 11% (7.5-12.6)(n=32) compared to SAs (p=0.002) or HC 7.1% (5.5-10.3)(p=0.01)(n=39). There was no difference between SAns and MMA. Gene expression was higher in biopsies from SAns (n=30), -0.044 (IQR -0.425-0.508), compared to both the SAs (n=9), -0.274 (-0.590-0.200), (p=0.02) and HC (n=21), -0.377 (-0.583-0.125), (p=0.008), but similar in MMA. There was no difference between the groups in POSTN serum levels or in gene expression in bronchial brushings or sputum.In asthmatics, the biopsy protein expression correlated with the biopsy gene expression, and both correlated with eosinophils numbers in the biopsies and blood, exhaled NO, and thickness of the lamina reticularis.These results highlight the potential relevance of tissue POSTN to asthma pathophysiology however, this does not appear to be reflected by serum POSTN measures.
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