Clinical Performance of Paraoxonase-1-Related Variables and Novel Markers of Inflammation in Coronavirus Disease-19. A Machine Learning Approach

SARS-CoV-2 infection produces a response of the innate immune system causing oxidative stress and strong inflammatory reaction termed ‘cytokine storm’ that is one leading causes death. Paraoxonase-1 (PON1) protects against by hydrolyzing lipoperoxides. Alterations in PON1 activity have been associated with pro-inflammatory mediators such as chemokine (C-C motif) ligand 2 (CCL2), glycoprotein galectin-3. We aimed to investigate alterations circulating levels PON1, CCL2, galectin-3 126 patients COVID-19 their interactions clinical variables analytical parameters. A machine learning approach was used identify predictive markers disease. For comparisons, we recruited 45 negative 50 healthy individuals. Our identified synergy between stress, inflammation, fibrogenesis positive not observed patients. parameter greatest power discriminate who were either or for COVID-19, while CCL2 similar. suggest measurement serum may be useful marker diagnosis COVID-19.