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Identification and Characterization of Immunogenic RNA Species in HDM Allergens that Modulate Eosinophilic Lung Inflammation
Published on: May 30, 2020
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Potential Biomarker Identification by RNA-Seq Analysis in Antibiotic-Related Drug Reaction with Eosinophilia and
Ying Xin Teo1,2, Wei Yann Haw1, Andreas Vallejo1
1Clinical Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK.
Summary
Identifying drug reaction with eosinophilia and systemic symptoms (DRESS) is challenging. A new 6-gene biomarker panel shows high accuracy in diagnosing antibiotic-associated DRESS, potentially avoiding unnecessary drug avoidance.
Area of Science:
- Immunology
- Pharmacogenomics
- Dermatology
Background:
- Drug reaction with eosinophilia and systemic symptoms (DRESS) is a severe cutaneous adverse drug reaction.
- Attributing drug causality in DRESS is difficult, and standard allergy tests are unsafe.
- Antibiotics are common DRESS causes, but diagnostic tests are lacking, leading to unnecessary treatment avoidance.
Purpose of the Study:
- To identify biomarkers for a diagnostic test for antibiotic-associated DRESS.
- To develop a gene expression-based scoring system for drug hypersensitivity.
Main Methods:
- Transcriptomic profiling of peripheral blood mononuclear cells from DRESS patients and controls.
- Validation of a gene panel in a separate cohort, comparing with controls and mimic conditions.
- Development of a scoring system using machine learning and differential expression analysis.
Main Results:
- A 6-gene panel (STAC, GPR183, CD40, CISH, CD4, CCL8) was identified.
- The panel demonstrated high sensitivity (100%) and specificity (85.7%-100%) for antibiotic-associated DRESS.
- The panel did not show altered expression in other inflammatory conditions.
Conclusions:
- A 6-gene biomarker panel can accurately identify antibiotic-associated DRESS.
- This diagnostic approach may improve patient management and prevent unnecessary drug avoidance.
- Further research is needed for broader application across different drugs and hypersensitivity reactions.
