Introduction

A new strain of coronavirus called SARS-CoV-2 (Severe Acute Respiratory Syndrome CoronaVirus 2) causing an infectious disease called COVID-19 (COronaVIrus Disease 2019) was first identified in Wuhan, the capital of China’s Hubei province, in December 2019 as the aetiological agent responsible for the viral pneumonia outbreak [1]. The World Health Organisation (WHO) declared the outbreak in China on 30 January 2020 to be a Public Health Emergency of International Concern (PHEIC) [2]. Due to the rapid increase in the numbers of patients outside China and the growing number of countries that were involved, on 12 March 2020 the WHO stated that COVID-19 was characterised as a pandemic. To date, more than 2.3 million people have contracted this disease, and more than 170,000 have died because of it. No proven specific drugs and no immunisation are available so far, while therapeutic options are very limited [3, 4]. In fact, only preventive and supportive therapies directed to prevent complications of the disease and organ damage are available. Although antimalarial drugs chloroquine and hydroxychloroquine are used in some countries for the treatment of this disease, at present there is not sufficient evidence to determine whether they are effective treatments for COVID-19 [5].

However, the antagonisms with other drugs and serious adverse effects (SAEs) of these drugs are also well known. Lopinavir/ritonavir, protease inhibitors that have been widely used for the treatment of human immunodeficiency virus-1 (HIV-1) infection, as a combination and in combination with azithromycin, have been used on a small scale for treatment of COVID-19 patients with some success [6]. Favipiravir, which electively and potently inhibits the RNA-dependent RNA polymerase, has also been used to treat some patients with this disease [7], as have nucleoside analogues, neuraminidase inhibitors, remdesivir, some peptides (EK1), umifenovir, and RNA synthesis inhibitors (such as TDF and 3TC), but for all these drugs the results of studies on more patients are awaited because their useful effects on COVID-19 are still anecdotal.

Statins are conventionally known as effective cholesterol-lowering drugs. Moreover, these drugs possess other beneficial effects independent of their cholesterol-lowering effect, including anti-inflammatory, anti-thrombotic, and immunomodulatory functions [815]. Furthermore, statin treatment can interfere with viral infectivity through inhibition of glycoprotein processing. Disruption of protease activity and decreased ratios of the mature glycoproteins to precursor form are possible mechanisms of the antiviral effect of statins. Disruption of the viral protease activity is an important therapeutic goal [16].

The main protease (Mpro) of a virus, in this case CoV, plays an important role in proteolytic maturation [17]. Consequently, it has been examined as a potential protein target to prevent infection expansion by inhibiting the cleavage of the viral polyprotein [18]. This might explain why statins could be useful in the treatment of COVID-19. The aim of this study was to assess whether statins might be potential COVID-19 Mpro inhibitors. Namely, most recently the SARS-CoV-2 main protease (Mpro), a key coronavirus enzyme, which is a potential drug target, has been successfully crystallised [19, 20]. Therefore, the idea was to investigate whether statins could be useful in the treatment of COVID-19 by directly affecting the virus particle.

Material and methods

Ligand preparation

All the molecules were constructed with the ChemDraw v2015 program, and these geometries energies were minimised by using the MOE v2015, with Force Field type AMBER 10. The created .pdb file was submitted to ADT to set number of torsion and for .pdbqt file construction.

Protein preparation

Three-dimensional coordinates of COVID-19 Mpro (PDB ID: 6LU7) were obtained in .pdb format from the Protein Data Bank (https:/www.rcsb.org/). The .pdb file was entered into AutodockTools (ADT ver.1.5.6) for preparation of a .pdbqt file and grid box creation. Water molecules and other atoms were excluded, and ADT measured the Gasteiger charges for protein atoms; AutoGrid was used with a grid box to create the grid map. The size of grid was determined at 60  ×  60  ×  60 xyz points with a grid spacing of 0.375 Å, and a grid centre at dimensions (x, y, and z, respectively): –9.732, 11.403, and 68.925 was designated.

Molecular docking

AutoDock/Vina, a computational docking program, was used for docking using COVID-19 Mpro and ligand data along with grid box characteristics in the configuration file. Results analysis was performed on the AutoDock Vina Result File using ADT. Finally, the top score poses were evaluated by using MOE to visualise protein-ligand interactions.

Results

We studied the affinity of seven statins (simvastatin, rosuvastatin, pravastatin, pitavastatin, lovastatin, fluvastatin, and atorvastatin), standard ligand, and protease inhibitors with the COVID-19 Mpro. Table I summarises the affinity (Kcal/mol), hydrogen bonds, and binding residues of these seven statins, standard ligand, and protease inhibitors with the COVID-19 Mpro, involved in COVID-19 infection. Statins had strong drug-like properties when docked along with known inhibitors against the Mpro. The ligands were sorted on the basis of binding strength and were compared with known inhibitors.

Table I

Interaction of tested ligands with SARS-CoV-2 main protease

LigandAffinity [kcal/mol]No. of interactionsBinding residuesInteraction with 6LU7
Standard liganda−6.88GLU 166
GLN 189
CYS 145
HIS 164
MET 49
GLU 166
CYS 145
HIS 41
https://www.archivesofmedicalscience.com/f/fulltexts/120816/AMS-16-3-40438-ig001_min.jpg
Favipiravir−5.83PHE 140
HIS 163
HIS 172
https://www.archivesofmedicalscience.com/f/fulltexts/120816/AMS-16-3-40438-ig002_min.jpg
Nelfinavir−7.94GLN 189
GLU 166
GLN 189
CYS 145
https://www.archivesofmedicalscience.com/f/fulltexts/120816/AMS-16-3-40438-ig003_min.jpg
Lopinavir−7.93GLN 189
GLU 166
HIS 41
https://www.archivesofmedicalscience.com/f/fulltexts/120816/AMS-16-3-40438-ig004_min.jpg
Simvastatin−7.02CYS 145
HIS 163
https://www.archivesofmedicalscience.com/f/fulltexts/120816/AMS-16-3-40438-ig005_min.jpg
Rosuvastatin−7.77GLU 166
MET 165
GLU 166
CYS 145
THR 26
GLN 192
CYS 145
https://www.archivesofmedicalscience.com/f/fulltexts/120816/AMS-16-3-40438-ig006_min.jpg
Pravastatin−6.64THR 190
GLU 166
LEU 141
GLU 166
https://www.archivesofmedicalscience.com/f/fulltexts/120816/AMS-16-3-40438-ig007_min.jpg
Pitavastatin
−8.22ARG 188
GLU 166
https://www.archivesofmedicalscience.com/f/fulltexts/120816/AMS-16-3-40438-ig008_min.jpg
Lovastatin
−7.42HIS 163
HIS 164
https://www.archivesofmedicalscience.com/f/fulltexts/120816/AMS-16-3-40438-ig009_min.jpg
Fluvastatin
−7.72GLU 166
HIS 163
https://www.archivesofmedicalscience.com/f/fulltexts/120816/AMS-16-3-40438-ig010_min.jpg
Atorvastatin
−6.83GLN 189
GLU 166
GLN 189
https://www.archivesofmedicalscience.com/f/fulltexts/120816/AMS-16-3-40438-ig011_min.jpg

a s n-[(5-methylisoxazol-3-yl)carbonyl]alanyl-l-valyl-n~1~-((1r,2z)-4-(benzyloxy)-4-oxo-1-{[(3r)-2-oxopyrrolidin-3-yl]methyl}but-2-enyl)-l-leuci- namide.

The binding energies from the interaction of 6LU7 docking site with standard ligand, favipiravir, nelfinavir, lopinavir, simvastatin, rosuvastatin, pravastatin, pitavastatin, lovastatin, fluvastatin, and atorvastatin were: –6.8, –5.8, –7.9, –7.9, –7.0, –7.7, –6.6, –8.2, –7.4, –7.7, and –6.8 kcal/mol, respectively. The docking results based on the binding energy of pitavastatin, rosuvastatin, lovastatin, and fluvastatin suggest that these statins might be potential COVID-19 Mpro inhibitors. Docking visualisation of the binding of different statins, standard ligand, and protease inhibitors with 6LU7 is shown in Figure 1.

Figure 1

Docking analysis visualisation of 6LU7 binding with atorvastatin (A), fluvastatin (B), lovastatin (C), pitavastatin (D), pravastatin (E), rosuvastatin (F), simvastatin (G), standard ligand (H), lopinavir (I), favipiravir (J), and nelfinavir (K)

https://www.archivesofmedicalscience.com/f/fulltexts/120816/AMS-16-3-40438-g001_min.jpg

Discussion

We performed an in silico molecular docking experiment on the interaction of statins with the main protease enzyme of SARS-CoV-2. Predisposition to acute cardiac complications related to existing atherosclerotic cardiovascular disease (ASCVD) may significantly increase the severity of COVID-19 as well as the mortality of these patients. This is particularly true for patients with high and very high risk for ASCVD, such as those with familial hypercholesterolaemia [21]. The main treatment for these patients is high-intensity statin therapy [22].

Statins have been suggested as useful drugs in COVID-19 patients mainly because of their capacity to decrease complications due to existing ASCVD (atheroma plaque stabilisation and reduction of CVD events and mortality) [23, 24] but also because of their anti-inflammatory and immunomodulatory effects, which might help to prevent acute lung injury in COVID-19 infection [25]. In addition, statins not only block virus replication upon antiviral activity but also reduce the harmful effects of inflammation on the host [26].

However, we investigated whether statins could directly interact with the main protease enzyme of SARS-CoV-2. We found that there is a strong effect of some statins, especially pitavastatin, with a binding energy (the more negative delta G means stronger interaction), which is even greater than that of protease inhibitors. Docking studies may be of crucial value because until now no studies have investigated the effects of the chemical structure and inhibition of docking activity of statins on the main protease enzyme of SARS-CoV-2.

Because pitavastatin has already been shown to have a potent antiviral effect against Ebola virus [26], according to our results it could have a direct antiviral effect on SARS-CoV-2 as well. Based upon our results, rosuvastatin, lovastatin, and fluvastatin might also be useful in COVID-19 treatment.

The limitation of this study is in its in silico nature. Therefore, our results need to be confirmed by experimental studies, which might support our findings, as well as studies on patients with COVID-19, for whom until today no specific treatment exists.

In conclusion, besides their indirect effects on COVID-19, such as decreasing complications due to existing ASCVD mostly because of their anti-inflammatory and immunomodulatory effects, our results suggest that statins can directly affect the virus particle. Therefore, their efficacy concerning COVID-19, especially for pitavastatin, warrants further investigation.