Abstract
SARS-COV-2 has recently emerged as a new public health threat. Herein, we report that the FDA-approved drug, auranofin, inhibits SARS-COV-2 replication in human cells at low micro molar concentration. Treatment of cells with auranofin resulted in a 95% reduction in the viral RNA at 48 h after infection. Auranofin treatment dramatically reduced the expression of SARS-COV-2-induced cytokines in human cells. These data indicate that auranofin could be a useful drug to limit SARS-CoV-2 infection and associated lung injury due to its antiviral, anti-inflammatory and anti-reactive oxygen species (ROS) properties. Further animal studies are warranted to evaluate the safety and efficacy of auranofin for the management of SARS-COV-2 associated disease.
Keywords: SARS-COV-2, COVID-19, Auranofin, Antiviral, Anti-inflammatory
Highlights
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Auranofin inhibits replication of SARS-COV-2 in human cells at low micro molar concentration.
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Auranofin treatment resulted in significant reduction in SARS-COV-2-induced cytokines in human cells.
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Auranofin could mitigate SARS-COV-2 infection and lung damage due to its anti-viral and anti-inflammatory properties.
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Auranofin is a gold-containing FDA-approved drug.
Gold-based compounds have shown promising activity against a wide range of clinical conditions and microorganism infections. Auranofin, a gold-containing triethyl phosphine, is an FDA-approved drug for the treatment of rheumatoid arthritis since 1985 (Roder and Thomson, 2015). It has been investigated for potential therapeutic application in a number of other diseases including cancer, neurodegenerative disorders, HIV/AIDS, parasitic infections and bacterial infections (Roder and Thomson, 2015; Harbut et al., 2015). Auranofin was approved by FDA for phase II clinical trials for cancer therapy (Hou et al., 2018; Oh et al., 2017; Rigobello et al., 2009). Oral auranofin was effective in rodent models of various parasitic infections (Leitsch, 2017; Capparelli et al., 2017). A preclinical study showed that auranofin significantly reduces HIV load in combination with antiretroviral therapy (Lewis et al., 2011). A clinical trial is ongoing to develop auranofin as a drug candidate to reduce the latent viral reservoir in patients with HIV infection utilizing the role of auranofin in redox-sensitive cell death pathways (Diaz et al., 2019; Chirullo et al., 2013).
The mechanism of action of auranofin involves the inhibition of redox enzymes such as thioredoxin reductase, induction of endoplasmic reticulum (ER) stress and subsequent activation of the unfolded protein response (UPR) (Harbut et al., 2015; May et al., 2018; Wiederhold et al., 2017; Thangamani et al., 2016). Inhibition of these redox enzymes leads to cellular oxidative stress and intrinsic apoptosis (Lugea et al., 2017; Hetz, 2012). In addition, auranofin is an anti-inflammatory drug that reduces cytokines production and stimulate cell-mediated immunity (Walz et al., 1983). It has been reported that auranofin interferes with the Interleukin 6 (IL-6) signaling by inhibiting phosphorylation of JAK1 and STAT3 (Han et al., 2008; Kim et al., 2007). The dual inhibition of inflammatory pathways and thiol redox enzymes by auranofin makes it an attractive candidate for cancer therapy and treating microbial infections.
Coronaviruses are a family of enveloped viruses with positive sense, single-stranded RNA genomes (Rothan and Byrareddy, 2020). SARS-CoV-2, the causative agent of COVID-19, is closely related to severe acute respiratory syndrome coronavirus (SARS-CoV-1) (Rothan and Byrareddy, 2020; Mehta et al., 2020). It is known that ER stress and UPR activation contribute significantly to the viral replication and pathogenesis during a coronavirus infection (Fung and Liu, 2014). Infection with SARS-COV-1 increases the expression of the ER protein folding chaperons GRP78, GRP94 and other ER stress related genes to maintain protein folding (Tang et al., 2005). Cells overexpressing the SARS-COV spike protein and other viral proteins exhibit high levels of UPR activation (Siu et al., 2014; Sung et al., 2009). Thus, inhibition of redox enzymes such as thioredoxin reductase and induction of ER stress by auranofin could significantly affect SARS-COV-2 protein synthesis (Rothan and Kumar, 2019).
In addition, SARS-COV-2 infection causes acute inflammation and neutrophilia that leads to a cytokine storm with over expression of IL-6, TNF-alpha, monocyte chemoattractant protein (MCP-1) and reactive oxygen species (ROS) (Mehta et al., 2020). The severe COVID-19 illness represents a devastating inflammatory lung disorder due to cytokines storm that is associated with multiple organ dysfunction leading to high mortality (Mehta et al., 2020; Sarzi-Puttini et al., 2020). Taken together, these studies suggest that auranofin could mitigate SARS-COV-2 infection and associated lung damage due to its anti-viral, anti-inflammatory and anti-ROS properties.
We investigated the anti-viral activity of auranofin against SARS-CoV-2 and its effect on virus-induced inflammation in human cells. We infected Huh7 cells with SARS-CoV-2 (USA-WA1/2020) at a multiplicity of infection (MOI) of 1 for 2 h, followed by the addition of 4 μM of auranofin. DMSO (0.1%) was used as control (the solvent was used to prepare drug stock). We used Huh7 cells in this study as these cells are highly permissive for SARS-COV-2 replication. Cell culture supernatants and cell lysates were collected at 24 and 48 h after infection. Virus RNA copies were measured by RT-PCR using two separate primers specific for the viral N1 region and N2 region (Rothan et al., 2019; Kumar et al., 2017). As depicted in Fig. 1 , treatment of cells with auranofin resulted in a 70% reduction in the viral RNA in the supernatants compared to the DMSO at 24 h after infection. At 48 h, there was an 85% reduction in the viral RNA in the supernatants compared to the DMSO. Similarly, the levels of intracellular viral RNA decreased by 85% at 24 h and 95% at 48 h in auranofin-treated cells compared to the DMSO-treated cells. Both set of primers showed nearly identical results. We next assayed virus titers in cell culture supernatants by plaque assay. Treatment with auranofin significantly reduced SARS-COV-2 infectivity titers in cell culture supernatants at 48 h after infection (Fig. 1).
To determine the effective concentration of auranofin that inhibits 50% of viral replication (EC50), we treated SARS-COV-2 infected Huh7 cells with serial dilutions of auranofin. Supernatants and cell lysates were collected at 48 h after infection and viral RNA was quantified by RT-PCR. The data were plotted in graphs using non-linear regression model (GraphPad software). At 48 h, there was a dose-dependent reduction in viral RNA levels in the auranofin-treated cells. Fig. 2 represents the EC50 values of auranofin treatment against SARS-CoV-2 infected Huh7 cells. Auranofin inhibited virus replication in the infected cells at EC50 of approximately 1.4 μM. It is important to note that in this study, we used 20 to 100-times more virus dose (MOI of 1) to infect the cells compared to the recently published reports on anti-viral activities of chloroquine, hydroxychloroquine and remdesvir against SARS-COV-2 in vitro (Wang et al., 2020; Liu et al., 2020).
To assess the effect of auranofin on inflammatory response during SARS-COV-2 infection, we measured the levels of key cytokines in auranofin and DMSO-treated cells at 24 and 48 h after infection (Natekar et al., 2019). SARS-COV-2 infection induces a strong up-regulation of IL-6, IL-1β, TNFα and NF-kB in Huh7 cells (Fig. 3 ). Treatment with auranofin dramatically reduced the expression of SARS-COV-2-induced cytokines in Huh7 cells. SARS-COV-2 infection resulted in a 200-fold increase in the mRNA expression of IL-6 at 48 h after infection compared to corresponding mock-infected cells. In contrast, there was only a 2-fold increase in expression of IL-6 in auranofin-treated cells. TNF-α levels increased by 90-fold in the DMSO-treated cells at 48 h after infection, but this increase was absent in the auranofin-treated cells. Similarly, no increase in the expression of IL-1β and NF-kB was observed in the auranofin-treated cells.
Taken together these results demonstrate that auranofin inhibits replication of SARS-COV-2 in human cells at low micro molar concentration. We also demonstrate that auranofin treatment resulted in significant reduction in the expression of cytokines induced by virus infection. These data indicate that auranofin could be a useful drug to limit SARS-CoV-2 infection and associated lung injury. Further animal studies are warranted to evaluate the safety and efficacy of auranofin for the management of SARS-COV-2 associated disease.
1. Methods
1.1. SARS-COV-2 infection and drug treatment
In this study, we used a novel SARS-COV-2 (USA-WA1/2020) isolated from an oropharyngeal swab from a patient in Washington, USA (BEI NR-52281). Virus strain was amplified once in Vero E6 cells and had titers of 5 × 106 plaque-forming units (PFU)/mL. Huh7 cells (human liver cell line) were grown in DMEM (Gibco) supplemented with 5% heat-inactivated fetal bovine serum. Cells were infected with SARS-COV-2 or PBS (Mock) at a multiplicity of infection (MOI) of 1 for 2 h (Natekar et al., 2019; Azouz et al., 2019; Kim et al., 2018; Krause et al., 2019). Cell were washed twice with PBS and media containing different concentrations of auranofin (0.1–10 μM, Sigma) or DMSO (0.1%, Sigma) was added to cells. Supernatants and cell lysates were harvested at 24 and 48 h after infection. The cytotoxicity of auranofin in Huh7 cells was measured using trypan blue method as described previously (Varghese and Busselberg, 2014). Briefly, Huh7 cells were treated with different concentrations of auranofin (0.1–10 μM) for 48 h and percentage cell numbers were quantified using trypan blue.
1.2. Virus quantification
Virus infectivity titers were measured in cell culture supernatants by plaque formation assay using Vero cells as we described previously (Natekar et al., 2019). Virus RNA levels were analyzed in the supernatant and cell lysates by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). RNA from cell culture supernatants was extracted using a Viral RNA Mini Kit (Qiagen) and RNA from cell lysates was extracted using a RNeasy Mini Kit (Qiagen) as described previously (Natekar et al., 2019). The cellular RNA extracted from infected cells was quantified, normalized and viral RNA levels per ug of total cellular RNA were calculated. qRT-PCR was used to measure viral RNA levels using previously published primers and probes specific for the SARS-COV-2. Forward (5′-GACCCCAAAATC AGCGAAAT-3′), reverse (5′-TCTGGTTACTGCCAGTTGAATCTG-3′), probe, (5′-FAM-ACCCCGCATTACGTTTGGTGGACC-BHQ1-3′) targeting the SARS-COV-2 N1 region and Forward (5′-TTACAAACATTGGCCGCAAA-3′), reverse (5′-GCGCGACATTCCGAAGAA3′), probe, (5′-FAM-ACAATTTGCCCCCAGCGCTTCAG-BHQ1-3’) targeting the SARS-COV-2 N2 region (Integrated DNA Technologies). Viral RNA copies were determined after comparison with a standard curve produced using serial 10-fold dilutions of SARS-COV-2 RNA (Kumar et al., 2017; Kim et al., 2018).
1.3. Cytokine analysis
For mRNA analysis of IL-6, IL-1β, TNFα and NF-kB, cDNA was prepared from RNA isolated from the cell lysates using a iScript™ cDNA Synthesis Kit (Bio-Rad, Hercules, CA, USA), and qRT-PCR was conducted as described previously (Natekar et al., 2019). The fold change in infected cells compared to corresponding controls was calculated after normalizing to the GAPDH gene. The primer sequences used for qRT-PCR are listed in Table 1 .
Table 1.
Gene (Accession No.) | Primer Sequence (5′-3′) |
---|---|
IL-1β (NM_000576) | |
Forward | AGCACCTTCTTTCCCTTCATC |
Reverse | GGACCAGACATCACCAAGC |
IL-6 (NM_000600) | |
Forward | CCAGGAGCCCAGCTATGAAC |
Reverse | CCCAGGGAGAAGGCAACTG |
NFKB (NM_003998) | |
Forward | TCCTTCTTTGACTCATACA |
Reverse | TGCCTTCACATACATAACG |
TNF (NM_000594) | |
Forward | CCTGCCCCAATCCCTTTATT |
Reverse | CCCTAAGCCCCCAATTCTCT |
CRediT authorship contribution statement
Hussin A. Rothan: Conceptualization, Methodology, Validation, Formal analysis, Writing - original draft. Shannon Stone: Methodology, Validation, Formal analysis. Janhavi Natekar: Methodology, Validation, Formal analysis. Pratima Kumari: Methodology, Validation, Formal analysis. Komal Arora: Formal analysis, Writing - original draft. Mukesh Kumar: Investigation, Conceptualization, Formal analysis, Writing - original draft, Writing - review & editing, Resources, Supervision, Funding acquisition.
Declaration of competing interest
Authors declare no conflict of Interest.
Acknowledgements
This work was supported by a grant (R21NS099838) from National Institute of Neurological Disorders and Stroke, grant (R21OD024896) from the Office of the Director, National Institutes of Health, and Institutional funds.
Contributor Information
Hussin A. Rothan, Email: hrothan@gsu.edu.
Mukesh Kumar, Email: mkumar8@gsu.edu.
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