measurement of some cytokines can predict the severity of COVID-19 infection among different age groups

Abstract

Coronavirus disease 2019 (COVID-19. Outbreak of severe acute respiratory syndrome (SARS-CoV-2)) started in Wuhan, the capital of Hubei Province, Republic of China, and has spread worldwide. Pandemic 11 March 2020 is closely related to the pangolin and the bat virus and is also believed to be of zoonotic origin.Symptoms include cough, muscle aches, sputum production, headache, hemoptysis, diarrhea, shortness of breath, and in some cases, acute respiratory distress syndrome (ARDS). Acute respiratory distress syndrome (ARDS), sudden heart damage, or secondary infection can happen to affected people. This study provides evidence that inflammation reflected by cytokine storms in COVID-19 patients could have contributed to disease exacerbations, so we analyzed the gene expression predictive values of (IL-6 and INF α). A cytokine storm can occur due to an infection, autoimmune condition, or other diseases. It may also occur after treatment with some types of immunotherapy. Symptoms include high fever, inflammation (redness and swelling), severe fatigue, and nausea. Sometimes, a cytokine storm may be severe or life-threatening and lead to multiple organ failures. Also called hyper cytokines. Recent studies on COVID-19 infected patients have shown that these individuals exhibit high levels of both pro-inflammatory cytokines, which include IFN-γ, IL-1β, IL-6, IL-2, and chemokine's