Background: The progressive course of coronavirus disease 2019 (COVID-19) is more frequently observed in individuals with obesity, diabetes, pulmonary and cardiovascular disease, or arterial hypertension. Many patients with these conditions are prescribed statins to treat hypercholesterolaemia. However, statins exhibit additional pleiotropic effects. The present study aims to investigate the effects of all eight currently existing statins on the expression of genes whose products have been reported to be directly associated with complicated COVID-19 disease. Methods: We extended the interpretation of the whole-genome DNA microarray analyses of pancreatic cancer cells MiaPaCa-2 and whole-transcriptome analyses of adipose tissue-derived mesenchymal stem cells AD-MSC that we had performed in the past. From the number of genes with altered expression induced by statins, we focused on those reported to be involved in a complicated course of COVID-19, including APOE and ACE2, genes encoding proteins involved in innate antiviral immunity and respiratory failure genes. Results: Although we did not observe statin-induced changes in the expression of APOE, ACE2 and any of the six genes clustered in the locus associated with respiratory failure in patients with COVID-19, some statins induced changes in the expression of genes encoding their interaction partners. Among genes associated with the immune system, all statins, which are effective in vitro affected the expression of genes encoding IL-6 and IL-8 and interaction partners of NF-kB, which may influence the duration of viral persistence. Conclusions: Statins act on multiple pathways simultaneously, some of which support COVID-19 development, while others suppress it.

• Klíčová slova
• ACE2, APOE, COVID-19, gene expression, microarray analyses, statins,
• Publikační typ
• časopisecké články MeSH

CONTEXT: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of the COVID-19 infection and responsible for millions of victims worldwide, remains a significant threat to public health. Even after the development of vaccines, research interest in the emergence of new variants is still prominent. Currently, the focus is on the search for effective and safe drugs, given the limitations and side effects observed for the synthetic drugs administered so far. In this sense, bioactive natural products that are widely used in the pharmaceutical industry due to their effectiveness and low toxicity have emerged as potential options in the search for safe drugs against COVID-19. Following this line, we screened 10 bioactive compounds derived from cholesterol for molecules capable of interacting with the receptor-binding domain (RBD) of the spike protein from SARS-CoV-2 (SC2Spike), responsible for the virus's invasion of human cells. Rounds of docking followed by molecular dynamics simulations and binding energy calculations enabled the selection of three compounds worth being experimentally evaluated against SARS-CoV-2. METHODS: The 3D structures of the cholesterol derivatives were prepared and optimized using the Spartan 08 software with the semi-empirical method PM3. They were then exported to the Molegro Virtual Docking (MVD®) software, where they were docked onto the RBD of a 3D structure of the SC2Spike protein that was imported from the Protein Data Bank (PDB). The best poses obtained from MVD® were subjected to rounds of molecular dynamics simulations using the GROMACS software, with the OPLS/AA force field. Frames from the MD simulation trajectories were used to calculate the ligand's free binding energies using the molecular mechanics - Poisson-Boltzmann surface area (MM-PBSA) method. All results were analyzed using the xmgrace and Visual Molecular Dynamics (VMD) software.

• Klíčová slova
• Molecular dynamics, Natural products, SARS-CoV-2, Spike protein,
• MeSH
• antivirové látky farmakologie   MeSH
• biologické přípravky * farmakologie   MeSH
• COVID-19 * MeSH
• databáze proteinů MeSH
• lidé MeSH
• SARS-CoV-2 MeSH
• simulace molekulární dynamiky MeSH
• simulace molekulového dockingu MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• Názvy látek
• antivirové látky MeSH
• biologické přípravky * MeSH