jzs-10788

Measuring inflammation in patients with allergic rhinitis using different biomarkers

Sherko Omer Hamad1, Christer Janson2, Heshu Sulaiman Rahman3, Sulaf Mousa Issa1, Hemn Hassan Othman4, Dara Abdulrazaq Tahir1, Kawa Amin1,2

1Department of Microbiology/Immunology, College of Medicine, University of Sulaimani, Sulaimani, Kurdistan Region-  Iraq

2Department of Medical Science, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden

3Department of Physiology, College of Medicine, University of Sulaimani, Sulaimani, Kurdistan Region-  Iraq

4Department of Pharmacology and Toxicology, College of Pharmacy, University of Sulaimani, Sulaimani, Kurdistan Region-  Iraq

Original: 28  February 2020       Revised: 10 March 2020      Accepted: 5 April 2020        Published online: 20 June 2020  

Doi Link; https://doi.org/10.17656/jzs.10788

Abstract

Allergic rhinitis is an inflammatory disease affecting the mucosal lining of the nose of individuals of all ages. The allergen in the air involves‏ attaching by Immunoglobulin E that causes the release of inflammatory chemicals from mast cells. This study aimed to measure the serum level of biomarkers and to determine the correlation between them in mediating activate cell in patients with AR.In this study, blood samples were taken from 88 AR patients and 88 healthy controls (HC) Symptom score was measured using the SNOT-22 questionnaire and blood sample was analyzed for eosinophil counts (B-Eos) using optical flow cytometry, IgE by electrochemiluminescence immunoassay, as well as eosinophilic cationic protein, anti-alpha smooth muscle actin (anti-SMA), cyclooxygenase- 2 (COX-2R), phosphatase and tensin (PTEN) homolog and Tryptase Alpha/Beta 1 (TPSABI) by ELISA. B-Eos, IgE, ECP, anti-SMA, and symptom scores were significantly higher in AR patients than in HC. As a result, we found that there was correlation between B-Eos and ECP (r = 0.66, p = 0.001). There was also a correlation between IgE and symptom score (r=0.64, p=0.01). COX-2 also correlated with symptoms score (r = 0.52, p = 0.04). There was a positive correlation between phosphatase and tensin homolog and TPSAB1 (r = 0.76, p<0.001) and PTEN and ECP (r = 0.53, p = 0.03). In conclusion, we realized that in allergic rhinitis, the airway inflammation was characterized by high numbers of eosinophil, IgE, ECP and anti-SMA. B- Eos, IgE and COX-2 were related to symptom scores. The study highlights the importance of systemic inflammation in AR.

Key Words: Allergic rhinitis, cross-section study, immune system, serum biomarkers

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