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Fig. 3 | Molecular Medicine

Fig. 3

From: Identifying FDA-approved drugs with multimodal properties against COVID-19 using a data-driven approach and a lung organoid model of SARS-CoV-2 entry

Fig. 3

The dose-dependent drug screening of three drugs whose transcriptional profiles correlate negatively with the host transcriptional signature associated with SARS-CoV-2 infection in the connectivity mapping analysis, which were further selected based on their predicted ability to bind to SARS-CoV-2 Mpro and RdRp. A Atorvastatin was the only drug that showed a dose-dependent reduction in viral entry in the SARS-CoV-2 lung organoid model, alongside our positive control (doxycycline). The bar plot shows the relative luciferase activity of multiple candidate drugs at 100Ā Ī¼M, 33Ā Ī¼M and 10Ā Ī¼M. The data was normalized to DMSO treated control. Data is presented as meanā€‰Ā±ā€‰SEM. Two-way ANOVA, **Pā€‰<ā€‰0.01, ***Pā€‰<ā€‰0.001. B The dose-dependent efficacy curves of atorvastatin, and CĀ doxycycline,Ā suggest that these drugs inhibit viral entry in the SARS-CoV-2 lung organoid model. Their maximum half cytotoxicity concentrations are above theĀ tested range. The data was normalized to DMSO-treated control. Data is presented as meanā€‰Ā±ā€‰SEM

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