Publications by authors named "Zakhar P Asaulenko"
Article Synopsis
- The study investigates the genetic factors influencing COVID-19 severity using a cohort of 840 patients from Russia, aiming to address challenges of cohort size and genome coverage in previous research.
- While no significant gene or pathway-level associations were found, the researchers identified eleven candidate loci linked to various quantitative traits in COVID-19 patients.
- Notably, a risk score derived from certain genetic variants was able to predict hospitalization severity and outcomes, showcasing the potential of using quantitative traits for identifying genetic risk factors in COVID-19 research.
Objective: A critical role in coronavirus disease 2019 (COVID-19) pathogenesis is played by immune dysregulation that leads to a generalized uncontrolled multisystem inflammatory response, caused by overproduction of proinflammatory cytokines, known as "a cytokine storm" (CS), strongly associated with a severe course of disease. The aim of this study is to identify prognostic biomarkers for CS development in COVID-19 patients and integrate them into a prognostic score for CS-associated risk applicable to routine clinical practice.
Materials And Methods: The authors performed a review of 458 medical records from COVID-19 patients (241 men and 217 women aged 60.