| Literature DB >> 33116249 |
Li Yang1, Rong-Juan Pei2, Heng Li1,3, Xin-Na Ma4, Yu Zhou1, Feng-Hua Zhu1, Pei-Lan He1, Wei Tang1, Ye-Cheng Zhang2, Jin Xiong2, Shu-Qi Xiao2, Xian-Kun Tong5, Bo Zhang6, Jian-Ping Zuo7,8,9.
Abstract
To discover effective drugs for COVID-19 treatment amongst already clinically approved drugs, we developed a high throughput screening assay for SARS-CoV-2 virus entry inhibitors using SARS2-S pseudotyped virus. An approved drug library of 1800 small molecular drugs was screened for SARS2 entry inhibitors and 15 active drugs were identified as specific SARS2-S pseudovirus entry inhibitors. Antiviral tests using native SARS-CoV-2 virus in Vero E6 cells confirmed that 7 of these drugs (clemastine, amiodarone, trimeprazine, bosutinib, toremifene, flupenthixol, and azelastine) significantly inhibited SARS2 replication, reducing supernatant viral RNA load with a promising level of activity. Three of the drugs were classified as histamine receptor antagonists with clemastine showing the strongest anti-SARS2 activity (EC50 = 0.95 ± 0.83 µM). Our work suggests that these 7 drugs could enter into further in vivo studies and clinical investigations for COVID-19 treatment.Entities:
Keywords: COVID-19; SARS-CoV-2; approved drug library; clemastine; high throughput screening assay; histamine receptor antagonists; virus entry inhibitors
Mesh:
Substances:
Year: 2020 PMID: 33116249 PMCID: PMC7594953 DOI: 10.1038/s41401-020-00556-6
Source DB: PubMed Journal: Acta Pharmacol Sin ISSN: 1671-4083 Impact factor: 6.150
Fig. 1Flow chart of the HTS screening and validation procedure.
A library of 1800 approved drugs was screened to determine the effects on blocking SARS2-S pseudovirus infection activity (@20 µM). A set of 154 drugs was selected as the primary hits and further screened for confirmation and to exclude nonspecific entry inhibition activity. Fifteen drugs were selected as specific SARS-CoV-2 entry inhibitor candidates. Experiments using a native clinical SARS-CoV-2 strain confirmed that these seven drugs were active viral entry inhibitors against SARS-CoV-2 infection in vitro.
Fig. 2Results of primary high throughput screening.
Data from the primary screening experiments using the library of 1800 approved drugs were plotted as the cell viability (%) vs SARS2-S pseudovirus infectivity (%) in Huh-7 cells. Cell viability was calculated as a percentage of the OD@570 readout by the MTT method for each well against that of the control well with no drug. Infectivity was calculated in the same way using a luciferase activity readout. Compounds that met different primary criteria were plotted in color (Red: 20% ≥viability, viability/infectivity ≥20; Blue: 50% ≥viability ≥20%, viability/infectivity ≥10; Green: viability ≥50%, viability/infectivity ≥5).
SARS2-S inhibition activity of 15 hit compounds from pseudovirus assay.
| Name | Huh7 | SARS2-S pseudovirus | SI | VSV-G pseudovirus | |
|---|---|---|---|---|---|
| CC50 (µM) | EC90 (µM) | EC50 (µM) | EC50 (µM) | ||
| Clemastine | 5.9 | 4.34 | 0.81 | 7.96 | 10.49 |
| Amiodarone | 5.95 | 19.36 | 0.21 | 10.63 | 11.26 |
| Trimeprazine | 13.82 | 3.77 | 0.97 | 14.21 | 5.87 |
| Bosutinib | 17.12 | 1.56 | 1.3 | 13.58 | 5.07 |
| Toremifene | 17.14 | 13.01 | 1.92 | 8.92 | 17.69 |
| Flupenthixol | 16.94 | 8.68 | 1.45 | 11.66 | 17.91 |
| Azelastine | >20 | 5.63 | 1.81 | >11.34 | >20 |
| Nortriptyline | 16.8 | 5.26 | 1.06 | 14.54 | 17.23 |
| Dapoxetine | 18.05 | 17.99 | 1.19 | 13.08 | 18.9 |
| Chlorprothixene | >20 | 23.76 | 2.15 | >11.86 | >20 |
| Protriptyline | >20 | 7.21 | 1.68 | >13.53 | >20 |
| Promethazine | >20 | 18.17 | 0.96 | >20.77 | >20 |
| Gefitinib | >20 | 20.31 | 2.21 | >9.06 | >20 |
| Solifenacin | >20 | 8.98 | 2.03 | >9.66 | >20 |
| Perphenazine | 18.29 | >20 | 2.14 | 14.65 | >20 |
Data represent a representative result from two independent experiments.
Fig. 3Antiviral activities of 15 drugs selected by the pseudovirus assay against the native SARS2 virus.
Fifteen drugs selected by the pseudovirus assay were tested for inhibitory activity against native SARS-CoV-2 virus replication in Vero E6 cells at 24 h post infection at a final concentration of 10 µM. Culture supernatant was collected, and the viral genome RNA load was quantified by qRT-PCR methodology as described in “Methods”. Data are shown as the viral RNA load decrease (in log10 scale) vs the DMSO control. Remdesivir was used as a positive control at 10 µM as well. Data are shown as the means ± SEM of two independent experiments.
Fig. 4Activity against native SARS-CoV-2 virus replication in vitro.
Antiviral activity of the seven selected drugs against native SARS-CoV-2 replication. Vero E6 cells were treated with drugs at the indicated concentrations and infected with SARS-CoV-2 virus at an MOI = 0.01. Culture supernatants were collected at 24 h post infection, and viral RNA was quantified by qRT-PCR with a TaqMan probe targeting the RBD region of the S gene (circle, solid line). Data are shown as the viral genome load vs the DMSO control (mean ± SEM, n = 6). Cell viability after drug treatment was assayed by the MTT method (square, dashed line); data are shown as percentages of the DMSO control (mean ± SEM, n = 2).
Inhibition effect of repurposed drugs on SARS and MERS spike protein pseudovirus infection.
| Name | Huh-7 | SARS-CoV S pseudovirus | MERS-CoV S pseudovirus | ||
|---|---|---|---|---|---|
| CC50 (µM) | EC90 (µM) | EC50 (µM) | EC90 (µM) | EC50 (µM) | |
| Bosutinib | 13.58 ± 2.16 | 3.15 ± 0.01 | 1.04 ± 0.05 | 2.44 ± 1.38 | 1.25 ± 0.01 |
| Amiodarone | 11.01 ± 2.57 | >20 | 0.60 ± 0.37 | >20 | 0.74 ± 0.06 |
| Flupenthixol | 14.72 ± 3.28 | 10.81 ± 1.05 | 1.39 ± 0.35 | 6.80 ± 0.40 | 1.68 ± 0.22 |
| Trimeprazine | 16.68 ± 1.89 | 4.30 ± 0.48 | 0.66 ± 0.45 | 3.78 ± 1.54 | 0.73 ± 0.13 |
| Azelastine | >20 | >20 | 2.36 ± 1.57 | >20 | 2.59 ± 0.88 |
| Clemastine | 6.60 ± 1.48 | 12.44 ± 1.24 | 1.79 ± 0.32 | >20 | 1.05 ± 0.26 |
| Toremifene | >20 | >20 | 2.28 ± 1.09 | >20 | 3.49 ± 0.44 |
Data present as mean ± SEM from two independent experiments.