Virtual screening attributes male biased COVID-19 mortality to predicted antiviral activity of female sex hormones
Background: Coronavirus disease-19 (COVID-19) is a newly emerged pandemic leading to a state of international alert with millions of infected individuals and thousands of deaths all over the world. Analysis of statistics and epidemiological data for the pandemic outcome pinpointed a puzzling influence of human sex on the heterogeneous outcome of COVID-19, where hospital admissions and mortality were higher among males than females. Two theories explained the observed male-biased COVID-19 mortality based on either dosage of immunoregulatory genes coded in X- chromosomes or on the abundance of the angiotensin-converting enzyme two (ACE2) receptors in males than females. Objective: In our study, we propose a third scenario through virtual screening of direct antiviral effects of sex hormones. Materials & Methods: Updated screening statistics from 47 countries displaying sex-disaggregated data on COVID-19 were employed and visualized in the form of heatmaps depicting sex difference effects on statistics of cases and deaths. Molecular docking and binding simulations of investigated sex steroids against COVID-19 specific proteins were investigated. Results: Analysis of COVID-19 sex-disaggregated data confirmed that male-biased mortality and computer-aided docking found unexpected female sex hormones biased binding against key targets implicated in the life cycle of COVID-19 compared to the male sex hormone testosterone. Other investigated steroids showed promising docking scores, while the male sex hormone exhibited the lowest affinity. Conclusion: Female sex hormones virtually exhibited direct COVID-19 effect. The proposed antiviral effect of sex hormones should be considered to explain the outcomes of mortality; moreover, the fluctuation of sex hormones influences sex and personal derived-differential response to COVID-19 infection.