Cited by 456SARS-CoV-2 and COVID-19 ResearchFlavonoids in Medical ResearchTraditional Chinese Medicine Analysis

Anti-SARS-CoV-2 activities in vitro of Shuanghuanglian preparations and bioactive ingredients

Open access
Su, Hai-xia, Yao, Sheng, Zhao, Wen-feng, Li, Min-jun, Liu, Jia, Shang, Wei-juan, Xie, Hang, Ke, Chang-qiang +16 more·2020·Acta Pharmacologica Sinica

Abstract

Human infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19) and there is no cure currently. The 3CL protease (3CLpro) is a highly conserved protease which is indispensable for CoVs replication, and is a promising target for development of broad-spectrum antiviral drugs. In this study we investigated the anti-SARS-CoV-2 potential of Shuanghuanglian preparation, a Chinese traditional patent medicine with a long history for treating respiratory tract infection in China. We showed that either the oral liquid of Shuanghuanglian, the lyophilized powder of Shuanghuanglian for injection or their bioactive components dose-dependently inhibited SARS-CoV-2 3CLpro as well as the replication of SARS-CoV-2 in Vero E6 cells. Baicalin and baicalein, two ingredients of Shuanghuanglian, were characterized as the first noncovalent, nonpeptidomimetic inhibitors of SARS-CoV-2 3CLpro and exhibited potent antiviral activities in a cell-based system. Remarkably, the binding mode of baicalein with SARS-CoV-2 3CLpro determined by X-ray protein crystallography was distinctly different from those of known 3CLpro inhibitors. Baicalein was productively ensconced in the core of the substrate-binding pocket by interacting with two catalytic residues, the crucial S1/S2 subsites and the oxyanion loop, acting as a "shield" in front of the catalytic dyad to effectively prevent substrate access to the catalytic dyad within the active site. Overall, this study provides an example for exploring the in vitro potency of Chinese traditional patent medicines and effectively identifying bioactive ingredients toward a specific target, and gains evidence supporting the in vivo studies of Shuanghuanglian oral liquid as well as two natural products for COVID-19 treatment.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41401-020-0483-6

Cites

39 of 39 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Informed estimations of relative binding affinities can be made by fitting the intensity ratio of bound and unbound protein as a function of ligand concentration.

    “Nevertheless, informed estimations can be made about relative binding affinities by fitting the intensity ratio of bound and unbound protein as a function of ligand concentration21,72.”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Su, H.-X., Yao, S., Zhao, W.-F., Li, M.-J., Liu, J., Shang, W.-J., Xie, H., Ke, C.-Q., Hu, H.-C., Gao, M.-N., Yu, K.-Q., Liu, H., Shen, J.-S., Tang, W., Zhang, L.-K., Xiao, G.-F., Ni, L., Wang, D.-W., Zuo, J.-P., Jiang, H.-L., Bai, F., Wu, Y., Ye, Y., & Xu, Y.-C.
Affiliations
  • Chinese Academy of Sciences (CN)
  • China Pharmaceutical University (CN)
  • Tongji Hospital (CN)
  • ShanghaiTech University (CN)
Corresponding author
  • Bai, Fang
  • Wu, Yan
  • Xu, Ye-chun
Venue
Acta Pharmacologica Sinica
Published
2020-07-31
Volume
41
Issue
9
Pages
1167-1177
ISSN
  • 0253-9756 (ISSN-L)
  • 1671-4083
  • 1745-7254
OpenAlex
W3046385872
Cited by
456
References
39
Citations by year
2026: 22 · 2025: 52 · 2024: 75 · 2023: 76 · 2022: 93 · 2021: 118 · 2020: 20
FWCI
10.30
Type
journal article
Language
en
Open access
Locations
  • Acta Pharmacologica Sinica (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Natural Science Foundation of China (91953000, 21877122)
  • Chinese Academy of Sciences (153631KYSB20170043)
  • Science and Technology Commission of Shanghai Municipality (20431900200)
  • Chinese Academy of Engineering
Topics
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
  • Health Sciences › Medicine › Pharmacology › Flavonoids in Medical Research
  • Health Sciences › Medicine › Complementary and alternative medicine › Traditional Chinese Medicine Analysis
Keywords
Shuanghuanglian, SARS-CoV-2, COVID-19 pandemic, main protease, main protease inhibition, baicalein, baicalin, traditional Chinese medicine, antiviral activity, Vero E6 cells, protein crystallography, substrate binding pocket, natural products
MeSH terms
Betacoronavirus, COVID-19, SARS-CoV-2, Administration, Oral, Animals, Antiviral Agents, Chlorocebus aethiops, Drugs, Chinese Herbal, Flavonoids, Humans, Pneumonia, Viral, Vero Cells, Virus Replication, Coronavirus Infections, Flavanones, Enzyme Assays, Pandemics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review