Linking COVID-19 and Heme-Driven Pathophysiologies: A Combined Computational–Experimental Approach

The SARS-CoV-2 outbreak was declared a worldwide pandemic in 2020. Infection triggers the respiratory tract disease COVID-19, which is accompanied by serious changes clinical biomarkers such as hemoglobin and interleukins. same parameters are altered during hemolysis, characterized an increase labile heme. We present two computational–experimental approaches aimed at analyzing potential link between heme-related COVID-19 pathophysiologies. Herein, we performed detailed analysis of common pathways induced heme superimposition knowledge graphs covering biology pathophysiology. Focus laid on inflammatory distinct linking elements. In second approach, four COVID-19-related proteins, host cell proteins ACE2 TMPRSS2 well viral 7a S protein were computationally analyzed heme-binding with experimental validation. results contribute to understanding progression infections patients different backgrounds may allow for more individual diagnosis therapy future.