Identifying Biomarkers for Allergic Rhinitis Treatment
Author Information
Author(s): Wang Hui, Gottfries Johan, Barrenäs Fredrik, Benson Mikael
Primary Institution: University of Gothenburg
Hypothesis
Proteins that correlate with the discrimination between high and low responders to glucocorticoid treatment may serve as biomarkers for treatment response in seasonal allergic rhinitis.
Conclusion
Several novel biomarkers for glucocorticoid treatment response in seasonal allergic rhinitis were identified using combined proteomics, multivariate, and pathway analysis.
Supporting Evidence
- 953 unique proteins were identified in nasal fluids from patients with seasonal allergic rhinitis.
- The acute phase response pathway was significantly enriched in the identified proteins.
- ORM, FGA, and APOH decreased significantly in high responders after glucocorticoid treatment.
Takeaway
Researchers found new proteins in nasal fluids that can help predict how well people with allergies will respond to treatment.
Methodology
The study used liquid chromatography-tandem mass spectrometry (LC-MS/MS) for proteomic analysis and ELISA for validation of candidate biomarkers.
Potential Biases
Potential bias due to individual variations in treatment response and compliance.
Limitations
The study had a relatively small sample size and the proteomics analysis may miss low-abundance proteins.
Participant Demographics
Median age of participants was 23 years, with 24 women included.
Statistical Information
P-Value
P<0.0001
Confidence Interval
99%
Statistical Significance
p<0.0001
Digital Object Identifier (DOI)
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