| Literature DB >> 34220507 |
Ting Xiao1,2, Mengqi Cui1,2, Caijuan Zheng1, Ming Wang1, Ronghao Sun1, Dandi Gao1,2, Jiali Bao1,2, Shanfa Ren1,2, Bo Yang3, Jianping Lin1, Xiaoping Li3, Dongmei Li1, Cheng Yang1,2, Honggang Zhou1,2.
Abstract
The coronavirus disease 2019 (COVID-19) has spread widely around the world and has seriously affected the human health of tens of millions of people. In view of lacking anti-virus drugs target to SARS-CoV-2, there is an urgent need to develop effective new drugs. In this study, we reported our discovery of SARS-CoV-2 Mpro inhibitors. We selected 15 natural compounds, including 7 flavonoids, 3 coumarins, 2 terpenoids, one henolic, one aldehyde and one steroid compound for molecular docking and enzymatic screening. Myricetin were identified to have potent inhibit activity with IC50 3.684 ± 0.076 μM in the enzyme assay. The binding pose of Myricetin with SARS-CoV-2 Mpro was identified using molecular docking method. In the binding pocket of SARS-CoV-2 Mpro, the chromone ring of Myricetin interacts with His41 through π-π stacking, and the 3'-, 4'- and 7-hydroxyl of Myricetin interact with Phe140, Glu166and Asp187 through hydrogen bonds. Significantly, our results showed that Myricetin has potent effect on bleomycin-induced pulmonary inflammation by inhibiting the infiltration of inflammatory cells and the secretion of inflammatory cytokines IL-6, IL-1α, TNF-α and IFN-γ. Overall, Myricetin may be a potential drug for anti-virus and symptomatic treatment of COVID-19.Entities:
Keywords: 3CLpro (Mpro); COVID-19; SARS-CoV-2; myricetin; pulmonary inflammation
Year: 2021 PMID: 34220507 PMCID: PMC8248548 DOI: 10.3389/fphar.2021.669642
Source DB: PubMed Journal: Front Pharmacol ISSN: 1663-9812 Impact factor: 5.810
List of drug molecular docking and primary FRET assay against SARS-CoV-2 Mpro.
| Flavonoids compounds | |||||
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| Formononetin(1) | Myricetin(2) | Vitexin(3) | Genistin(4) | ||
| docking score (−5.988) | docking score (−8.473) | docking score (−8.359) | docking score (−7.934) | ||
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| Diosmetin(5) | Pinocembrin(6) | Cimifugin(7) | |||
| docking score (−7.761) | docking score (−6.748) | docking score (−6.578) | |||
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| Byakangelicin(8) | Toddalolactone(9) | Bengenin(10) | |||
| docking score (−7.177) | docking score (−6.527) | docking score (−6.143) | |||
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| Betulinic acid(11) | Oleuropein(12) | ||||
| docking score (−3.623) | docking score (−10.33) | ||||
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| Ellagic acid(13) docking score (−7.222) | 3,4,5-Trihydroxybenzaldehyde(14) docking score (−3.828) | Cinobufotalin(15) docking score (−4.24) | |||
FIGURE 1Screening of natural compounds against SARS-CoV-2 Mpro and the inhibitory activity of Myricetin in vitro. (A). 50 μM compound was pre-incubated with 0.3 μM SARS-CoV-2 Mpro at 37°C for 10 min, and then 20 μM FRET substrate was added to the reaction mixture to initiate the reaction. The excitation wavelength is 340 nm and the emission wavelength is 490 nm for fluorescence measurement. Results Inhibition rate (%) = (RFU100% enzyme activity control-RFU sample)/(RFU100% enzyme activity control-RFU blank control) × 100%. The results are average ± standard deviation of three repeats. (B) The inhibitory assay of Myricetin show efficient inhibition for Mpro. Error bars: mean ± S.D. of three independent replicates.
FIGURE 2The binding mode of Myricetin in SARS-CoV-2 Mpro. Hydrogen bonds and π-π interactions between Myricetin and SARS-CoV-2 Mpro are represented by dashed lines.
FIGURE 3Myricetin reduces the inflammatory response in BLM-treated mice. (A) Dosing regimen in BLM-induced inflammatory model. (B–C) H&E staining of left lung tissues (B, Scale: 50 μm) and inflammatory cells in BALF (C, Scale: 20 μm) of each group. (D) Total number of cells from BALF in each group. (E) Counts of macrophages in BALF. (F) Counts of lymphocytes in BALF. (G) Counts of Neutrophiles in BALF. (H–K) The expression of inflammatory factors including IL-6, IL-1α, TNF-α and IFN-γ in BALF were detected by ELISA. Data are shown as mean ± SD. # represent the difference between NaCl and BLM-treated group, ##P < 0.01, ###P < 0.001, ####P < 0.0001. * represent the difference between BLM-treated and treatment group, *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001.