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In Silico Discovery of Candidate Drugs against Covid-19

Claudia Cava, Gloria Bertoli, Isabella Castiglioni

Viruses · 2020 · CC BY

doi:10.3390/v12040404

Abstract

Previous studies reported that Angiotensin converting enzyme 2 (ACE2) is the main cell receptor of SARS-CoV and SARS-CoV-2. It plays a key role in the access of the virus into the cell to produce the final infection. In the present study we investigated in silico the basic mechanism of ACE2 in the lung and provided evidences for new potentially effective drugs for Covid-19. Specifically, we used the gene expression profiles from public datasets including The Cancer Genome Atlas, Gene Expression Omnibus and Genotype-Tissue Expression, Gene Ontology and pathway enrichment analysis to investigate the main functions of ACE2-correlated genes. We constructed a protein-protein interaction network containing the genes co-expressed with ACE2. Finally, we focused on the genes in the network that are already associated with known drugs and evaluated their role for a potential treatment of Covid-19. Our results demonstrate that the genes correlated with ACE2 are mainly enriched in the sterol biosynthetic process, Aryldialkylphosphatase activity, adenosylhomocysteinase activity, trialkylsulfonium hydrolase activity, acetate-CoA and CoA ligase activity. We identified a network of 193 genes, 222 interactions and 36 potential drugs that could have a crucial role. Among possible interesting drugs for Covid-19 treatment, we found Nimesulide, Fluticasone Propionate, Thiabendazole, Photofrin, Didanosine and Flutamide.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 25, 2026. Paragraph numbers are ours, so an answer can point at one.

1. Introduction

Several members of the Coronaviridae family cause mild respiratory disease; two members of this family, the Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) and the Middle East Respiratory Syndrome Coronavirus (MERS-CoV), affect species from animals to humans, causing serious forms of respiratory disease. SARS-CoV appeared in 2002 in Guandong province (China) and its circulation caused more than 8000 cases, with 774 dead individuals. Nowadays, no specific antiviral treatment exists to defeat this disease that was previously ended by control measures, such as travel restriction and patient isolation.

In winter 2019 a new form of pneumonia disease emerged in Wuhan, Hubei province (China). It was called SARS-CoV-2 (causing the coronavirus disease 2019, COVID-19) and rapidly spread from animals (pangolins or bats as possible sources) to humans.

The diffusion in humans was very rapid. On April 1st, 2020, a total of 75,4948 confirmed infections were reported worldwide, with 36,571 deaths.

The World Health Organization (WHO) strategy to contain the spreading includes the reduction of human-to-human spreading by limiting the contact between individuals, thus preventing transmission amplification events and communicating critical risk information to all communities.

While the diagnosis of COVID-19 is based on the amplification of the viral genome in real-time PCR with specific probes, the current treatment of affected individuals is limited to a mixture of a broad-spectrum of antiviral drugs. However, in many cases this pharmacological approach has proven to be totally ineffective.

Screening drug studies on pangolin SARS-CoV-2, which is the human-related Coronavirus, demonstrated that three drugs (cepharanthine, selamectin and mefloquine hydrochloride) were effective in inhibiting viral replication, with cepharanthine potently inhibiting coronavirus infection at viral entry and post-entry viral replication. The last drug is an anti-inflammatory and antineoplastic alkaloid approved for leukopenia and it is also proposed to inhibit the human immunodeficiency virus type 1 (HIV) entering in cells by reducing plasma membrane fluidity. In humans, it has a reduced toxicity.

Mefloquine is the approved treatment for malaria and has antiviral activity against both MERS-CoV and SARS-CoV. The antiviral mechanism of selamectin is still unknown, as it is used usually as a topical broad-spectrum parasiticide in little animals (e.g., cats and dogs).

The entry of the virus in the cells is mediated by spike (S) glycoprotein; in particular, the spike 1 (S1) surface unit allows the attachment of the virus to cellular receptors. To allow the entry of the viral particles, the S protein is cleaved by cellular proteases at the S1/S2 and the S2′ site. Then, the viral capside is fused with the cellular membrane, a process driven by the S2 subunit. It has been described that SARS-CoV entrance is mediated by angiotensin-converting enzyme 2 (ACE2), and that the serine protease TMPRSS2 is responsible for the S protein cleavage. The analysis of the sequences of the receptor binding motif (RBM) within the receptor binding domain revealed that it is responsible for the binding to ACE2 and that SARS-CoV and SARS-CoV-2 have conserved residues, suggesting that their binding with ACE2 could be similar, while the same residues are absent in other coronaviruses. Moreover, some antibodies developed against human ACE2 blocked SARS-CoV and SARS-CoV-2 infections.

ACE2 belongs to the renin-angiotensin-aldosterone system (RAAS), which plays important roles in regulating blood pressure and body fluid, contributing to the pathophysiology of hypertension and cardiovascular/renal diseases by maintaining homeostasis of blood pressure, electrolyte balance and inflammatory responses. The protease Renin, generated mainly in the kidney, cleaves angiotensinogen to generate Angiotensin I (AngI); the angiotensin-converting enzyme 2 (ACE2) cleaves Ang I to produce Ang II, a key effector of the RAAS. AngII induces activation of Ang II type 1 and 2 receptors (AT1R and AT2R) in order to obtain vasoconstriction and inactivation of vasodilator bradykinin by cleavage. ACE2 is a terminal carboxypeptidase, a type I transmembrane glycoprotein, and a potent negative regulator of RAAS, localized on the apical surface of well-differentiated airway epithelia, especially ciliated cells.

Attenuation of ACE2 catalytic function alters RAAS system activity, resulting in enhanced inflammation and vascular permeability observed in the pathogenesis of inflammatory lung disease. Indeed, when AT1R and AT2R are activated, they lead to the increased expression of proinflammatory mediators such as interleukin-8/Cytokine-induced Neutrophil Chemoattractant-3 and interleukin-6, triggering an inflammatory process in the lungs and other organs. In particular, AT1R activates NFkB transcription factor and AP-1, which in turn increases cytokine expression, apoptosis, vasoconstriction, fibroproliferation, the retention of Na+, and the enhancement of lung injury. The endogenous Ang II inhibits alveolar fluid clearance (AFC) and dysregulates ENaC expression via AT1R, contributing to alveolar filling and pulmonary edema.

ACE2 enzyme is expressed in a very small part of the lung population: the type II alveolar cells (AT2) that are about 0.64% of the lung cells. Single-cell RNA sequencing reveals that the ACE2 is also expressed in type I alveolar cells (AT1) cells, airway epithelial cells, fibroblasts, endothelial cells, and macrophages. Bioinformatics tools give quantitative information at single-cell resolution and reveal that Asian subjects have a much higher ACE2-expressing cell ratio than white and African American subjects, with males more affected than females. Abundant expression of ACE2 in a population of AT2 explained the severe alveolar damage after infection.

Experimental approaches for the study of interactions between drug compounds and target proteins are costly and time consuming. Computational approaches offer methods to test hypotheses of new putative drugs, reducing the cost and shortening the time. In particular, the identification of virus-associated protein-protein interactions offer evidences that could elucidate the mechanisms of viral infections. This methodology also allowed researchers to identify several candidate drugs for MERS-CoV, Ebola virus and Zika virus.

In this study, in order to investigate the molecular mechanism of ACE2 in COVID-19, we explored the ACE2 expression in normal lung tissue based on the public RNA-seq profiles from The Cancer Genome Atlas (TCGA). In particular, we focused on the gene network correlated with ACE2 expression in order to identify in silico all the interactors of ACE2 that could attend to the viral infection in lung tissue. Then, we analyzed which drugs could interact with the genes of the network in order to identify new potentially effective drugs with antiviral properties.

2.1. Public Datasets

To obtain a clear view of the genes in the respiratory tract, RNA-seq data of normal lung tissues was extracted from the The Cancer Genome Atlas Lung Adenocarcinoma (TCGA-LUAD project. We downloaded, normalized, and filtered RNA-seq raw counts of 58 normal lung tissue samples using the reference of hg19, following the pipeline of the R/ Bioconductor package TCGAbiolinks.

Two Gene Expression Omnibus (GEO) datasets, GSE994 and GSE17913, were analyzed from the Gene Expression Omnibus (GEO) database (https://www.ncbi.nlm.nih.gov/geo/). GSE994 contains gene expression profiles from bronchial Epithelium tissues of 23 non-smoking volunteers; GSE17913 contains transcriptomic profiles from the oral mucosa of 40 non-smoking volunteers. From the Genotype-Tissue Expression (GTEx) project we considered the lung tissue-specific gene expression of 320 healthy volunteers.

2.2. Correlation, Gene Ontology and Enrichment Analysis

We performed a correlation analysis between ACE2 and the other genes in TCGA-LUAD to obtain a network of all the possible ACE2-interactors. For each gene, we calculated the Pearson’s correlation with ACE2 expression level. Considering the corresponding p-values of the correlation, only ACE2 and genes significantly correlated (p-value < 0.01) were considered for the subsequent analysis.

We performed a Gene Ontology and a pathway analysis using the list of correlated genes to identify the functional role of the genes of the network. Gene Ontology (GO) is a standardised annotation of gene products used to investigate the biology of a gene product in any organism. There are three GO categories that describe the function of a gene product at the molecular level, the biological process in which the gene product participates and the cellular component where the gene product is localized. In this way, we defined the categories (GO: biological process, GO: cellular components, GO: molecular function) to which each gene of the network belongs to.

In the second step, a pathway enrichment analysis using Fisher’s test was performed to assess whether there is an over-representation of correlated genes within given pathways. If this happens, it means that this pathway is particularly important within the network of ACE2 and its co-expressed interactors. We considered the pathways enriched with correlated genes if FDR < 0.01. p-values were adjusted with the Benjamini-Hochberg procedure for multiple testing correction.

2.3. Protein-Protein and Drug Interaction

We constructed a protein-protein interaction (PPI) network from the correlated genes. PPIs, which contain physical interactions, were downloaded using SpidermiR. Specifically, we generated a network that involves the direct interactions among ACE2-correlated genes according to the PPI network. We verified if the genes within the network were already associated with known drugs and evaluated their role in the network. The interaction between the drug and protein was obtained using the Matador and DGIdb database. We integrated drug-gene interactions in the network using Fisher’s Test to verify if there is an over-representation of drug target genes in the network. We considered that the only significant interactions that obtained a FDR < 0.05. p-values were adjusted with Benjamini-Hochberg procedure for multiple testing correction. In this way, we generated a map of drugs acting on the ACE2 and ACE2-correlated network.

3. Results

The selection procedures in the pre-processing step allowed us to obtain 14,701 genes from the RNA-seq data analysis of lung normal tissues downloaded from the TCGA-LUAD project. The correlation analysis was applied between ACE2 expression level and 14,700 genes in the 58 lung normal samples. Figure 1 shows the p-value histogram originated from Pearson’s Correlation test for all gene pairs (ACE2 with the other 14,700 genes). p-value distributions were close to the uniform distribution between 0 and 1. The peak close to 0 indicates low p-values.

We obtained 526 genes that correlated with ACE2 expression levels (p-value <0.01). This is the basic ACE2-correlated gene network on which we performed further analysis. The supplementary data 1 shows the 526 ACE2 correlated genes.

Among the top 10 genes with a more significant p-value, we found that nine genes (LRRK2, ACSL5, HSD17B4, EPHX1, MCCC2, GSTA4, ACACA, HGD and ROS1) positively correlated with ACE2 and one gene (CRIP2) negatively correlated (Table 1).

We evaluated the roles of the 526 genes using GO and pathway enrichment analysis. Figure 2 shows the bar chart with the numbers of genes assigned to the main categories of three ontologies, namely GO: biological process (Figure 2A), GO: cellular component (Figure 2B) and GO: molecular function (Figure 2C). We observed that the network contains genes that belong to the sterol biosynthetic process, multicellular organism protein metabolic process, D-aspartate transport and the import and response to unfolded protein. Moreover, the genes of the network encoded for protein of the vacuolar part and vacuolar membrane. Finally, among their activity, they were mainly involved in Aryldialkylphosphatase activity, adenosylhomocisteinase activity, trialkylsulfonium hydrolase activity, acetate-CoA and CoA ligase activity, isocitrate dehydrogenase activity, and hydrolase activity acting on ether bond. In addition, pathways enriched with the correlated gene with ACE2 are also presented as a bar plot (Figure 2D). From this plot we could suggest that the genes of the ACE2-correlated network have a main role in acetate conversion to Acetyl-CoA, leucine degradation and cholesterol biosynthesis.

Eighty-three percent of the genes (435/526) that correlated with ACE2 in TCGA were also correlated in at least one of the other three independent datasets (GSE994, GSE17913 and GTEx, p-value < 0.05) (Figure 3). In particular, we found 94 common genes between TCGA-LUAD and GSE994, 39 common genes between TCGA-LUAD and GSE17913 and 409 common genes between TCGA-LUAD and GTEx.

Among the top 10 most significant genes correlated to ACE2 in TCGA-LUAD dataset (Table 1), two genes (CRIP2 and ACACA) were also found in GSE994, ACSL5 was found in GSE17913 and LRRK2, HSD17B4, EPHX1, MCCC2, GSTA4, HGD, and ROS1 were found in GTEx dataset.

We generated a PPI network considering the direct interactions among correlated genes. We obtained a network of 193 genes and 222 interactions.

Starting from 7338 drugs originated by the Matador and DGIdb database, we evaluated if drug target genes were overrepresented in the network. We obtained 36 drugs that could influence the densest network (Figure 4).

In this network, ILK, HSPA4, DYNLL1 and MDM2 had a central role with a degree centrality of 17, 13, 11 and 10, respectively. ILK, DYNLL1 and MDM2 appeared to have no direct significant relationships with known drugs. HSPA4 was a direct target of Nimesulide, Fluticasone Propionate, Thiabendazole, and Photofrin.

4. Discussion

As SARS-CoV-2 is suspected to use ACE-2 protein to enter in the lung cells, we analysed the network of co-expressed proteins with ACE2 in order to define different target genes on which the known drugs could affect the SARS-CoV-2 activity.

Among the top 10 genes with a more significant p-value, we found that nine genes (LRRK2, ACSL5, HSD17B4, EPHX1, MCCC2, GSTA4, ACACA, HGD and ROS1) positively correlated with ACE2 and CRIP2 as an ACE2-negatively correlated gene.

Leucine rich repeat kinase 2 (LRKK2), involved in Parkinson’s disease, has a role with ACE2 in the reactive oxygen species metabolic process. Moreover, the analysis of the LRRK2 knockout model revealed that this enzyme is involved in ribosomal function, in particular in the regulation of the expression of genes of the clathrin-mediated endocytosis and the integrin for the cell adhesion. Several of the other top ten genes are involved in the fatty acid metabolism, such as Acyl-CoA synthetase long-chain family member 5 (ACSL5) or Hydroxysteroid 17-Beta Dehydrogenase 4 (HSD17B4). Fatty acids are important in the regulation of the fluidity of the movement of receptors of the plasma membrane on the cell surface. Other genes among the top ten are involved in the catabolism of amino acids, such as the Methylcrotonoyl-CoA Carboxylase 2 (MCCC2) enzyme involved in the catabolism of proteins containing Leucine, homogentisate 1,2 dioxygenase (HGD) or Acetyl-CoA Carboxylase Alpha (ACACA). The amino acid catabolism is important for the Acetyl-CoA synthesis during fatty acid metabolism. We also found microsomal Epoxide hydrolase 1 (EPHX1) to have a role during xenobiotic detoxification of exogenous chemicals (tobacco smoke), and Glutathione S transferase (GSTA4), an enzyme of the glutathione metabolism, already described to be altered in influenza virus and respiratory syncytial virus infections.

4.1. Gene Ontology and Pathway Enrichment Analysis

Gene Ontology and pathway enrichment analysis for genes correlated to ACE2 was performed (Figure 2). The results of GO analysis indicated that the 526 genes co-expressed with ACE2 were mainly enriched in biological processes that belong to the sterol biosynthetic process, multicellular organism protein metabolic process, D-aspartate transport and import and response to unfolded protein (Figure 2A).

The sterol biosynthetic process is essential for the entry of several RNA viruses into the lung cells. It has been already proved that all the agents able to inhibit cholesterol synthesis or block its motility are able to reduce infection by providing membrane rigidity or reducing the permeability.

Regarding aspartate transport, aspartate is a charged amino acid that needs specific transporters to be expressed on the cell surface. In tumors, it has been suggested that aspartate availability, related to the presence of the aspartate/glutamate transporter on cell surface, is negatively correlated with the expression of hypoxia molecules. It is also known that asparagine is important for the synthesis of aspartate within the cells and is an important source of nitrogen for pathogens.

The unfolded protein response (UPR) is an adaptive condition aimed to rebalance endoplasmic reticulum homeostasis after cellular stress. This process is activated by the host cell as a response to the viral infection to limit the infection. The virus, for its part, tries to manipulate the UPR to support its infection. The final effect of this double control is that the URP is often manipulated during viral infections to aid in the elimination or invasion of the virus.

The results of GO for the cellular component indicated that the genes correlated with ACE2 were significantly enriched in vacuolar parts and membranes (Figure 2B). In the varicella-zooster virus a role for cytoplasmic vacuoles has been observed. It has been suggested that the transport of viral particles from the membrane of the host cells within the cells could occur by passing through vacuoles by a non-selective bulk-flow transport mechanism.

Finally, GO molecular function ontology analysis (Figure 2C) revealed that, among others, there is Aryldialkylphosphatase activity, adenosylhomocysteinase activity, trialkylsulfonium hydrolase activity, acetate-CoA and CoA ligase activity, isocitrate dehydrogenase activity, and hydrolase activity acting on ether bond.

The Aryldialkylphosphatase activity is an enzymatic activity possessed by the paraoxonase (PON) gene family. This enzymatic activity is important for the protection of the cells from oxidative damage for the lipid oxidation metabolism and for the innate immunity response. It is reduced during hepatitis virus B infection and correlates with the functional status of the liver. The inhibition of adenosylhomocysteinase activity, obtained by adenosine dialdehyde, has been described as a potent inhibitor of vaccinia virus early protein synthesis and viral mRNA methylation, suggesting that adenosylhomocysteinase activity is important in the translation of viral proteins and virus replication. Trialkylsulfonium hydrolase activity is one of the enzymatic activities required for the viral replication. Increase in lipid synthesis is essential for viral infection. It has been demonstrated that lipid reduction impacts viral infection (e.g., human cytomegalovirus). In this process, the central precursor for lipid biosynthesis is cytosolic acetyl CoA (Ac-CoA); this is the reason why the pathway analysis (Figure 2D) indicated acetate conversion (into acetyl-CoA) as an important ACE2-related pathway. In the same way, leucine degradation could become a source of Acetyl-CoA and acetoacetate by β-hydroxy-β-methylglutaryl-coenzyme A (HMG-CoA) activity, intermediate also of cholesterol biosynthesis, described in the pathway analysis. In addition, the results of pathway analysis showed that the genes were enriched in the cholesterol biosynthesis. The role of cholesterol is essential as the entry of pathogenic viruses into the cell is favoured by the presence of cholesterol on the eukaryotic host cells, as discussed before.

4.2. High Degree Centrality Gene Study and Potential Drug Therapy

We constructed a protein-protein interaction network of the genes correlated with ACE2. We obtained a network of 193 genes and 222 interactions. The genes with the highest degree centrality and therefore most involved in the network were HSPA4, ILK and MDM2.

During viral infection, several genes are modulated to allow the attachment and entry of the virus by endocytosis or import/export and translation, which is important for the production of new viral particles. Several studies indicated that heat shock proteins (HSP) are upregulated by viral infection, but also annexin 1 and 2, AKT serine/threonine kinase (AKT1) and hypoxia-inducible factor (HIF1a). In the case of the influenza A virus, HSPs are important for the induction of polymerase activity to induce nuclear import and export and assembly of viral proteins during viral replication. Moreover, the heat shock protein A4 (HSPA4) expression is upregulated in patients affected by hepatitis B virus (HBV)-related hepatocellular carcinoma, in particular in those with earlier recurrence. The chaperone dynelin LL1 (DYNLL1) has an essential role in the cytoplasmic translocation of hepatitis B viral caspide. All of these reasons make these proteins important targets for the development of new antiviral agents.

Integrin linked kinase (ILK) encodes a protein with a kinase-like domain and four ankyrin-like repeats. It encodes for a protein involved in the cytoplasmic domain of beta integrins. It has been demonstrated for viral myocarditis, a disease that causes sudden cardiac death in children and young adults, ILK inhibition improves the viability of infected cells while blocking viral replication and virus release.

MDM2 inhibitors have been already proposed for the development of lymphoma driven by Epstein-Barr virus EBV nuclear antigen-1 (EBNA1). The inhibition of MDM2 could be also effective in a neuroendocrine carcinoma of the skin called Merkel cell carcinomas, which is caused by Merkel cell polyomavirus. The double inhibition of MDM2 and MDM4 could activate p53, leading to apoptosis of virus-infected cells.

Although several recent papers have come out on the possible drug treatment options for COVID-19 and several clinical trials are proposing different compounds for the treatment, we haven’t found any drugs among those that we’d propose, either in clinical trials or in other publications. Recently, an in silico approach enlarged to all possible gene networks altered by COVID-19 disease found several potential therapeutic molecules, and although they found some compounds with anti-inflammatory properties, none of them were common with the ones that we found. This is possibly due to the fact that the authors did not consider the ACE2-associated network alone, but combined multiple drugs affecting several members of the gene network of SARS-CoV-2. Nevertheless, in the supplementary material of that paper the authors found among the possible efficient drugs Nimesulide, Fluticasone Propionate, Thiabendazole, and Didanosine, but not photofrin.

Nimesulide belongs to the class of sulphonamides; it is a non-steroidal anti-inflammatory drug (NSAID), which preferentially inhibits the enzyme cyclooxygenase-2 (COX-2). This enzyme takes part in the synthesis of prostaglandin, produced in the course of the cascade of the inflammation process and has relation to the pathogenesis of pain, inflammation and fever. Fluticasone propionate is a new generation corticosteroid used in asthma treatment. Its activity is due to the diffusion of the molecule into the pulmonary cells where it binds to cytoplasmic receptors. The binding to the receptor activates the translocation of the complex into the nucleus where it inhibits cytokine-induced production of proinflammatory proteins. This leads to the suppression of inflammatory mediators, reducing the number of mast cells and lymphocytes. Thiabendazole is an effective antifungal agent and it has been proposed that the drug may have anti-inflammatory properties also in the case of viral infection. Porfimer sodium (photofrin) is a photosensitizing agent used in photodynamic and radiation therapy of tumors; this therapeutic approach has also been proposed in the case of viral infection treatment.

In our network, didanosine has adenosine kinase (ADK) and interleukin-2 receptor antagonist (IL2RA) as targets. Didanosine is a dideoxynucleoside analogue used in HIV treatment. The molecule is internalized and is phosphorylated into the active antiviral compound. In this form, it inhibits HIV reverse transcriptase and terminates pro-viral DNA chain elongation. ADK is the key regulatory enzyme of adenosine synthesis. ADK phosphorylates cytokinin nucleosides, maintaining a pool of bioactive cytokinins through interconversion of nucleosides and nucleotides. Cytokinin availability increases the susceptibility of the cells to viral infection, as demonstrated in. The antiviral activity of didanosine could be mediated by interference with ADK activity.

The same target of Didanosine, IL2RA, with ACE2 is also a direct target of Flutamide. This drug is a specific androgen receptor (AR) antagonist. Its prolonged treatment caused alteration in the renin-angiotensin system without affecting ACE2 expression levels. This drug is able to block AT2R, evoking vasorelaxation, natriuresis, antigrowth, and anti-inflammatory effects. The activity of flutamide on the ACE2-related network could be mediated by the regulatory role of AR on ACE2. Indeed, epidemiological studies found that different sex and age groups in the Chinese population have different susceptibility to SARS-CoV-2 infection due to higher expression of ACE2 in Asian females compared to males. The induction by estrogen and androgen of ACE2, and possibly of IL2RA, established a negative correlation between ACE2 expression, age of the subjects and COVID-19 fatality at both population and molecular levels.

Cytokine-based therapies have been developed for cancer treatments, in particular human T cell growth factor, IL-2, has a main role in regulation of growth, differentiation and activation of tumor infiltrating lymphocytes (TLs) such as T cells and natural killers. IL-2RA are agents inhibiting the proliferation of T cells and therefore cytokines release, leading to reduction of inflammation. In Ebola infection, Ebolavirus causes severe dysregulation of the innate immune response resulting in a cytokine storm, and this effect correlates with severe disease and fatal outcomes. Several studies found that hypersecretion of interleukin 1 receptor antagonist (IL-1Ra) was associated with a fatal outcome of Ebola cases: in the COVID-19 infection, it is possible that the hypersecretion of IL-2RA could be blocked by didanosine, leading a decrease of immune response.

5. Conclusions

In this study, using public datasets of gene expression profiles we identified new functions and mechanisms of ACE2-correlated genes, the putative mediator of SARS-CoV-2 entrance in the cells.

We found a protein-protein interaction network of 193 genes, 22 interactions and 36 potential drugs for future treatment strategies including Nimesulide, Fluticasone Propionate, Thiabendazole, Photofrin and Didanosine. Unexpectedly, among the potentially active drugs only Didanosine is a real antiviral drug, while the others are mostly anti-inflammatory.

However, further studies are needed to validate in the laboratory the role of these drugs for COVID-19 treatment.

References 62

  1. 1.

    World Health Organization. SARS (Severe Acute Respiratory Syndrome). 2004.

    Not in our library

  2. 2.

    Huang L.L., Shen S.P., Yu P., Wei Y.Y. Dynamic basic reproduction number based evaluation for current prevention and control of COVID-19 outbreak in China. Zhonghua Liu Xing Bing Xue Za Zhi. 2020;41:466-469.

    Not in our library10.3760/cma.j.cn112338-20200209-00080

  3. 3.

    Wang Y., Wang Y., Chen Y., Qin Q. Unique epidemiological and clinical features of the emerging 2019 novel coronavirus pneumonia (COVID-19) implicate special control measures. J. Med. Virol. 2020.

    Not in our library10.1002/jmv.25748

  4. 4.

    Zhu Z.B., Zhong C.K., Zhang K.X., Dong C., Peng H., Xu T., Wang A.L., Guo Z.R., Zhang Y.H. Epidemic trend of corona virus disease 2019 (COVID-19) in mainland China. Zhonghua Yu Fang Yi Xue Za Zhi. 2020;54:E022.

    Not in our library10.3760/cma.j.cn112150-20200222-00163

  5. 5.

    World Health Organization. Coronavirus Disease 2019 (COVID-19) Situation Report –43. 2020.

    Not in our library

  6. 6.

    Xu J., Shi P.Y., Li H., Zhou J. Broad Spectrum Antiviral Agent Niclosamide and Its Therapeutic Potential. ACS Infect. Dis. 2020.

    Not in our library10.1021/acsinfecdis.0c00052

  7. 7.

    Fan H.H., Wang L.Q., Liu W.L., An X.P., Liu Z.D., He X.Q., Song L.H., Tong Y.G. Repurposing of clinically approved drugs for treatment of coronavirus disease 2019 in a 2019-novel coronavirus (2019-nCoV) related coronavirus model. Chin. Med. J. (Engl). 2020.

    Not in our library10.1097/cm9.0000000000000797

  8. 8.

    Dyall J., Coleman C.M., Hart B.J., Venkataraman T., Holbrook M.R., Kindrachuk J., Johnson R.F., Olinger G.G., Jahrling P.B., Laidlaw M., et al. Repurposing of clinically developed drugs for treatment of Middle East respiratory syndrome coronavirus infection. Antimicrob Agents Chemother. 2014;58:4885-4893.

    Not in our library10.1128/aac.03036-14

  9. 9.

    Hoffmann M., Kleine-Weber H., Schroeder S., Krüger N., Herrler T., Erichsen S., Schiergens T.S., Herrler G., Wu N.H., Nitsche A., et al. SARS-CoV-2 Cell Entry Depends on ACE2 and TMPRSS2 and Is Blocked by a Clinically Proven Protease Inhibitor. Cell. 2020.

    Not in our library10.1016/j.cell.2020.02.052

  10. 10.

    Li W., Moore M.J., Vasilieva N., Sui J., Wong S.K., Berne M.A., Somasundaran M., Sullivan J.L., Luzuriaga K., Greenough T.C., et al. Angiotensin-converting enzyme 2 is a functional receptor for the SARS coronavirus. Nature. 2003;426:450-454.

    Not in our library10.1038/nature02145

  11. 11.

    Glowacka I., Bertram S., Müller M.A., Allen P., Soilleux E., Pfefferle S., Steffen I., Tsegaye T.S., He Y., Gnirss K., et al. Evidence that TMPRSS2 activates the severe acute respiratory syndrome coronavirus spike protein for membrane fusion and reduces viral control by the humoral immune response. J. Virol. 2011;85:4122-4134.

    Not in our library10.1128/jvi.02232-10

  12. 12.

    Matsuyama S., Nagata N., Shirato K., Kawase M., Takeda M., Taguchi F. Efficient activation of the severe acute respiratory syndrome coronavirus spike protein by the transmembrane protease TMPRSS2. J. Virol. 2010;84:12658-12664.

    Not in our library10.1128/jvi.01542-10

  13. 13.

    Ge X.Y., Li J.L., Yang X.L., Chmura A.A., Zhu G., Epstein J.H., Mazet J.K., Hu B., Zhang W., Peng C., et al. Isolation and characterization of a bat SARS-like coronavirus that uses the ACE2 receptor. Nature. 2013;503:535-538.

    Not in our library10.1038/nature12711

  14. 14.

    Menachery V.D., Dinnon K.H., Yount B.L., McAnarney E.T., Gralinski L.E., Hale A., Graham R.L., Scobey T., Anthony S.J., Wang L., et al. Trypsin Treatment Unlocks Barrier for Zoonotic Bat Coronavirus Infection. J. Virol. 2020;94.

    Not in our library10.1128/jvi.01774-19

  15. 15.

    Jia H. Pulmonary Angiotensin-Converting Enzyme 2 (ACE2) and Inflammatory Lung Disease. Shock. 2016;46:239-248.

    Not in our library10.1097/shk.0000000000000633

  16. 16.

    Burrell L.M., Johnston C.I., Tikellis C., Cooper M.E. ACE2, a new regulator of the renin-angiotensin system. Trends Endocrinol Metab. 2004;15:166-169.

    Not in our library10.1016/j.tem.2004.03.001

  17. 17.

    Zhao D.C., Li Y.M., Ma J.L., Yi N., Yao Z.Y., Li Y.P., Quan Y., Li X.N., Xu C.L., Qiu Y., et al. Single-cell RNA sequencing reveals distinct gene expression patterns in glucose metabolism of human preimplantation embryos. Reprod Fertil Dev. 2019;31:237-247.

    Not in our library10.1071/rd18178

  18. 18.

    Cheng F., Murray J.L., Zhao J., Sheng J., Zhao Z., Rubin D.H. Systems Biology-Based Investigation of Cellular Antiviral Drug Targets Identified by Gene-Trap Insertional Mutagenesis. PLoS Comput. Biol. 2016;12:e1005074.

    Not in our library10.1371/journal.pcbi.1005074

  19. 19.

    Cheng F., Murray J.L., Rubin D.H. Drug Repurposing: New Treatments for Zika Virus Infection? Trends Mol. Med. 2016;22:919-921.

    Not in our library10.1016/j.molmed.2016.09.006

  20. 20.

    Mustafa S., Balkhy H., Gabere M. Peptide-Protein Interaction Studies of Antimicrobial Peptides Targeting Middle East Respiratory Syndrome Coronavirus Spike Protein: An In Silico Approach. Adv Bioinform. 2019;2019:6815105.

    Not in our library10.1155/2019/6815105

  21. 21.

    Colaprico A., Silva T.C., Olsen C., Garofano L., Cava C., Garolini D., Sabedot T.S., Malta T.M., Pagnotta S.M., Castiglioni I., et al. TCGAbiolinks: An R/Bioconductor package for integrative analysis of TCGA data. Nucleic Acids Res. 2016;44:e71.

    Not in our library10.1093/nar/gkv1507

  22. 22.

    Cava C., Bertoli G., Castiglioni I. Portrait of Tissue-Specific Coexpression Networks of Noncoding RNAs (miRNA and lncRNA) and mRNAs in Normal Tissues. Comput. Math. Methods Med. 2019;2019:9029351.

    Not in our library10.1155/2019/9029351

  23. 23.
  24. 24.

    Cava C., Colaprico A., Bertoli G., Bontempi G., Mauri G., Castiglioni I. How interacting pathways are regulated by miRNAs in breast cancer subtypes. BMC Bioinform. 2016;17:348.

    Not in our library10.1186/s12859-016-1196-1

  25. 25.

    Bravatà V., Cava C., Minafra L., Cammarata F.P., Russo G., Gilardi M.C., Castiglioni I., Forte G.I. Radiation-Induced Gene Expression Changes in High and Low Grade Breast Cancer Cell Types. Int. J. Mol. Sci. 2018;19:E1084.

    Not in our library10.3390/ijms19041084

  26. 26.

    Benjamini Y., Hochberg Y. Controlling the false discovery rate: A practical and powerful approach to multiple testing. J. R. Stat. Soc. Ser. B Methodol. 1995;57:289-300.

    Not in our library10.1111/j.2517-6161.1995.tb02031.x

  27. 27.

    Cava C., Colaprico A., Bertoli G., Graudenzi A., Silva T.C., Olsen C., Noushmehr H., Bontempi G., Mauri G., Castiglioni I. SpidermiR: An R/Bioconductor Package for Integrative Analysis with miRNA Data. Int. J. Mol. Sci. 2017;18:E274.

    Not in our library10.3390/ijms18020274

  28. 28.

    Cava C., Bertoli G., Castiglioni I. In silico identification of drug target pathways in breast cancer subtypes using pathway cross-talk inhibition. J. Transl. Med. 2018;16:154.

    Not in our library10.1186/s12967-018-1535-2

  29. 29.

    Günther S., Kuhn M., Dunkel M., Campillos M., Senger C., Petsalaki E., Ahmed J., Urdiales E.G., Gewiess A., Jensen L.J., et al. SuperTarget and Matador: resources for exploring drug-target relationships. Nucleic Acids Res. 2008;36:D919-D922.

    Not in our library10.1093/nar/gkm862

  30. 30.

    Cotto K.C., Wagner A.H., Feng Y.Y., Kiwala S., Coffman A.C., Spies G., Wollam A., Spies N.C., Griffith O.L., Griffith M. DGIdb 3.0: A redesign and expansion of the drug-gene interaction database. Nucleic Acids Res. 2018;46:D1068-D1073.

    Not in our library10.1093/nar/gkx1143

  31. 31.

    Nikonova E.V., Xiong Y., Tanis K.Q., Dawson V.L., Vogel R.L., Finney E.M., Stone D.J., Reynolds I.J., Kern J.T., Dawson T.M. Transcriptional responses to loss or gain of function of the leucine-rich repeat kinase 2 (LRRK2) gene uncover biological processes modulated by LRRK2 activity. Hum. Mol. Genet. 2012;21:163-174.

    Not in our library10.1093/hmg/ddr451

  32. 32.

    Václavíková R., Hughes D.J., Souček P. Microsomal epoxide hydrolase 1 (EPHX1): Gene, structure, function, and role in human disease. Gene. 2015;571:1-8.

    Not in our library10.1016/j.gene.2015.07.071

  33. 33.

    Ioannidis I., McNally B., Willette M., Peeples M.E., Chaussabel D., Durbin J.E., Ramilo O., Mejias A., Flaño E. Plasticity and virus specificity of the airway epithelial cell immune response during respiratory virus infection. J. Virol. 2012;86:5422-5436.

    Not in our library10.1128/jvi.06757-11

  34. 34.

    Petersen J., Drake M.J., Bruce E.A., Riblett A.M., Didigu C.A., Wilen C.B., Malani N., Male F., Lee F.H., Bushman F.D., et al. The major cellular sterol regulatory pathway is required for Andes virus infection. PLoS Pathog. 2014;10:e1003911.

    Not in our library10.1371/journal.ppat.1003911

  35. 35.

    Wudiri G.A., Pritchard S.M., Li H., Liu J., Aguilar H.C., Gilk S.D., Nicola A.V. Molecular requirement for sterols in herpes simplex virus entry and infectivity. J. Virol. 2014;88:13918-13922.

    Not in our library10.1128/jvi.01615-14

  36. 36.

    Garcia-Bermudez J., Baudrier L., La K., Zhu X.G., Fidelin J., Sviderskiy V.O., Papagiannakopoulos T., Molina H., Snuderl M., Lewis C.A., et al. Aspartate is a limiting metabolite for cancer cell proliferation under hypoxia and in tumours. Nat. Cell Biol. 2018;20:775-781.

    Not in our library10.1038/s41556-018-0118-z

  37. 37.

    Ren W., Rajendran R., Zhao Y., Tan B., Wu G., Bazer F.W., Zhu G., Peng Y., Huang X., Deng J., et al. Amino Acids As Mediators of Metabolic Cross Talk between Host and Pathogen. Front. Immunol. 2018;9:319.

    Not in our library10.3389/fimmu.2018.00319

  38. 38.

    Chan S.W. The unfolded protein response in virus infections. Front. Microbiol. 2014;5:518.

    Not in our library10.3389/fmicb.2014.00518

  39. 39.

    Jones F., Grose C. Role of cytoplasmic vacuoles in varicella-zoster virus glycoprotein trafficking and virion envelopment. J. Virol. 1988;62:2701-2711.

    Not in our library10.1128/jvi.62.8.2701-2711.1988

  40. 40.

    Duygu F., Tekin Koruk S., Aksoy N. Serum paraoxonase and arylesterase activities in various forms of hepatitis B virus infection. J. Clin. Lab. Anal. 2011;25:311-316.

    Not in our library10.1002/jcla.20473

  41. 41.

    Keller B.T., Borchardt R.T. Adenosine dialdehyde: A potent inhibitor of vaccinia virus multiplication in mouse L929 cells. Mol. Pharmacol. 1987;31:485-492.

    Not in our library

  42. 42.

    Abraham R., Hauer D., McPherson R.L., Utt A., Kirby I.T., Cohen M.S., Merits A., Leung A.K.L., Griffin D.E. ADP-ribosyl-binding and hydrolase activities of the alphavirus nsP3 macrodomain are critical for initiation of virus replication. Proc. Natl. Acad. Sci. USA. 2018;115:E10457-E10466.

    Not in our library10.1073/pnas.1812130115

  43. 43.

    Vysochan A., Sengupta A., Weljie A.M., Alwine J.C., Yu Y. ACSS2-mediated acetyl-CoA synthesis from acetate is necessary for human cytomegalovirus infection. Proc. Natl. Acad. Sci. USA. 2017;114:E1528-E1535.

    Not in our library10.1073/pnas.1614268114

  44. 44.

    Bhagavan N.V. Protein and Amino Acid Metabolism. Medichale Biochemistry, Fourth Edition. 2002;331-363.

    Not in our library

  45. 45.

    Meher G., Bhattacharjya S., Chakraborty H. Membrane Cholesterol Modulates Oligomeric Status and Peptide-Membrane Interaction of Severe Acute Respiratory Syndrome Coronavirus Fusion Peptide. J. Phys. Chem. B. 2019;123:10654-10662.

    Not in our library10.1021/acs.jpcb.9b08455

  46. 46.

    Vaidya B., Cho S.Y., Oh K.S., Kim S.H., Kim Y.O., Jeong E.H., Nguyen T.T., Kim S.H., Kim I.S., Kwon J., et al. Effectiveness of Periodic Treatment of Quercetin against Influenza A Virus H1N1 through Modulation of Protein Expression. J. Agric. Food Chem. 2016;64:4416-4425.

    Not in our library10.1021/acs.jafc.6b00148

  47. 47.

    Manzoor R., Kuroda K., Yoshida R., Tsuda Y., Fujikura D., Miyamoto H., Kajihara M., Kida H., Takada A. Heat shock protein 70 modulates influenza A virus polymerase activity. J. Biol. Chem. 2014;289:7599-7614.

    Not in our library10.1074/jbc.m113.507798

  48. 48.

    Yang Z., Zhuang L., Szatmary P., Wen L., Sun H., Lu Y., Xu Q., Chen X. Upregulation of heat shock proteins (HSPA12A, HSP90B1, HSPA4, HSPA5 and HSPA6) in tumour tissues is associated with poor outcomes from HBV-related early-stage hepatocellular carcinoma. Int. J. Med. Sci. 2015;12:256-263.

    Not in our library10.7150/ijms.10735

  49. 49.

    Osseman Q., Gallucci L., Au S., Cazenave C., Berdance E., Blondot M.L., Cassany A., Bégu D., Ragues J., Aknin C., et al. The chaperone dynein LL1 mediates cytoplasmic transport of empty and mature hepatitis B virus capsids. J. Hepatol. 2018;68:441-448.

    Not in our library10.1016/j.jhep.2017.10.032

  50. 50.

    Esfandiarei M., Suarez A., Amaral A., Si X., Rahmani M., Dedhar S., McManus B.M. Novel role for integrin-linked kinase in modulation of coxsackievirus B3 replication and virus-induced cardiomyocyte injury. Circ. Res. 2006;99:354-361.

    Not in our library10.1161/01.res.0000237022.72726.01

  51. 51.

    AlQarni S., Al-Sheikh Y., Campbell D., Drotar M., Hannigan A., Boyle S., Herzyk P., Kossenkov A., Armfield K., Jamieson L., et al. Lymphomas driven by Epstein-Barr virus nuclear antigen-1 (EBNA1) are dependant upon Mdm2. Oncogene. 2018;37:3998-4012.

    Not in our library10.1038/s41388-018-0147-x

  52. 52.

    Park D.E., Cheng J., Berrios C., Montero J., Cortés-Cros M., Ferretti S., Arora R., Tillgren M.L., Gokhale P.C., DeCaprio J.A. Dual inhibition of MDM2 and MDM4 in virus-positive Merkel cell carcinoma enhances the p53 response. Proc. Natl Acad Sci USA. 2019;116:1027-1032.

    Not in our library10.1073/pnas.1818798116

  53. 53.
  54. 54.

    Kariyawasam H.H., Scadding G.K. Seasonal allergic rhinitis: Fluticasone propionate and fluticasone furoate therapy evaluated. J. Asthma Allergy. 2010;3:19-28.

    Not in our library

  55. 55.

    Staresinic A.G., Sorkness C.A. Fluticasone propionate: A potent inhaled corticosteroid for the treatment of asthma. Expert. Opin. Pharmacother. 2000;1:1227-1244.

    Not in our library10.1517/14656566.1.6.1227

  56. 56.

    van Arman G.G., Campbell W.C. Anti-inflammatory activity of thiabendazole and its relation to parasitic disease. Tex. Rep. Biol. Med. 1975;33:303-311.

    Not in our library

  57. 57.

    Wiehe A., O’Brien J.M., Senge M.O. Trends and targets in antiviral phototherapy. Photochem. Photobiol. Sci. 2019;18:2565-2612.

    Not in our library10.1039/c9pp00211a

  58. 58.

    Perry C.M., Balfour J.A. Didanosine. An update on its antiviral activity, pharmacokinetic properties and therapeutic efficacy in the management of HIV disease. Drugs. 1996;52:928-962.

    Not in our library10.2165/00003495-199652060-00014

  59. 59.

    Baliji S., Lacatus G., Sunter G. The interaction between geminivirus pathogenicity proteins and adenosine kinase leads to increased expression of primary cytokinin-responsive genes. Virology. 2010;402:238-247.

    Not in our library10.1016/j.virol.2010.03.023

  60. 60.

    Dasinger J.H., Intapad S., Rudsenske B.R., Davis G.K., Newsome A.D., Alexander B.T. Chronic Blockade of the Androgen Receptor Abolishes Age-Dependent Increases in Blood Pressure in Female Growth-Restricted Rats. Hypertension. 2016;67:1281-1290.

    Not in our library10.1161/hypertensionaha.116.07548

  61. 61.

    Mishra J.S., Hankins G.D., Kumar S. Testosterone downregulates angiotensin II type-2 receptor via androgen receptor-mediated ERK1/2 MAP kinase pathway in rat aorta. J. Renin. Angiotensin Aldosterone Syst. 2016;17.

    Not in our library10.1177/1470320316674875

  62. 62.

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