Statistical correlations between demographical and clinical risk factor with immunological determination of Toll-like receptor markers (TLR2, TLR4 and TLR9) in patient associated with covid_19

Abstract

Coronavirus disease–2019 (COVID-19) was detected in Wuhan, China, in December 2019 and has resulted in a 2% fatality rate. Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is the virus that causes this illness, and it is a newly discovered zoonotic strain. Toll-like receptors (TLRs), which recognize microbial components derived from invading pathogens, are involved in both the initiation of innate responses against SARS-CoV-2 infection and the hyperinflammatory phenotype of COVID-19. Aim: Determine the molecular structure of Toll-like receptor genes and clarify the immunopathogenesis of TLRs associated with covid 19 to provide insight into the role and early detection of covid 19. Results: are the highest age group of patients with covid_19 was the decades (45-54) years were 26 (29.5%) from total study patients. In immunological study there are only TLR2 and TLR9 statistically significantly between patient and control groups. The study found no significant positive effect of smoking and non-smokers. Conclusion: The most common clinical symptoms of covid_19 were Fever, Headache, Muscle/ body ache and Loss of taste and/ or smell. There are positive correlation between toll like receptor 9 (TLR9) and smoking patients.