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Published on: January 21, 2018
Nasal Airway Transcriptome Reflects Selected Asthma-Associated Gene Signatures in the Lower Airways
Hui Wen1,2, Tessa Kole1,2, Orestes A Carpaij1,2
1Groningen Research Institute for Asthma and COPD, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Nasal brushes can identify asthma-associated gene signatures found in the lower airways, offering a less invasive method for asthma research. Seven genes and two gene modules consistently indicate asthma in both nasal and bronchial samples.
Area of Science:
- Pulmonary Medicine
- Genomics
- Immunology
Background:
- Bronchial brushes reveal asthma gene signatures but require invasive bronchoscopy.
- The
- united airways
- hypothesis suggests upper airway samples may reflect lower airway changes.
Purpose of the Study:
- To investigate if nasal brushes can non-invasively detect asthma-associated transcriptomic changes in the lower airways.
- To evaluate the overlap in gene signatures between nasal and bronchial samples in asthma patients.
Main Methods:
- RNA sequencing of nasal and bronchial brushes from asthma patients and healthy controls (ARMS study).
- Identification of asthma-associated genes and modules using edgeR and Weighted Gene Co-expression Network Analysis (WGCNA).
- Validation of findings in an independent cohort (ATLANTIS study).
Main Results:
- Identified 51 asthma-associated genes in the lower airways; 40 were up-regulated, 11 down-regulated.
- Seven up-regulated genes (CLCA1, FETUB, CST1, NTRK2, CDH26, TPSAB1, DHX35) were consistently found in nasal brushes and validated.
- Two gene modules, reflecting IL-13 inflammation and mast cell activity, were consistently elevated in asthma across both airway sites and cohorts.
Conclusions:
- A limited but biologically coherent overlap exists between upper and lower airway asthma gene signatures.
- Shared signatures highlight IL-13 related inflammation and mast cell activity as key components of type 2 inflammation in asthma.
- Nasal gene signatures provide a non-invasive approach to identify asthma endotypes based on underlying molecular mechanisms.
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