Evidence map›Paper›PMID 34934765›Full record

ArticleBiomedicine hub

Study of Baicalin toward COVID-19 Treatment: In silico Target Analysis and in vitro Inhibitory Effects on SARS-CoV-2 Proteases.

Chingju Lin, Fuu-Jen Tsai, Yuan-Man Hsu, Tsung-Jung Ho, Guo-Kai Wang, Yu-Jen Chiu, Hai-Anh Ha, Jai-Sing Yang

Open access · goldAbstract read
In one paragraph

Article in Biomedicine hub. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.5field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Inhibitory Efficacy of Main Components ofInternational journal of molecular sciences · 2024
    Article
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  6. Review
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  14. BioMedicine · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 3 countries.

Chingju LinDepartment of Physiology, China Medical University, Taichung, Taiwan.
Fuu-Jen TsaiSchool of Chinese Medicine, China Medical University, Taichung, Taiwan.
Yuan-Man HsuDepartment of Biological Science and Technology, China Medical University, Taichung, Taiwan.
Tsung-Jung HoDepartment of Chinese Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan.
Guo-Kai WangSchool of Pharmacy, Anhui University of Chinese Medicine, Anhui Province Key Laboratory of Research & Development of Chinese Medicine, Hefei, China.
Yu-Jen ChiuDivision of Reconstructive and Plastic Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan.
Hai-Anh HaSchool of Pharmacy, China Medical University, Taichung, Taiwan.
Jai-Sing YangDepartment of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan.
China Medical University · TWAnhui University of Traditional Chinese Medicine · CNDuy Tan University · VNNational Yang Ming Chiao Tung University · TWTzu Chi University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Negative impacts of COVID-19 on human health and economic and social activities urge scientists to develop effective treatments. Baicalin is a natural flavonoid, extracted from a traditional medicinal plant, previously reported with anti-inflammatory activity. In this study, we used pharmacophore fitting and molecular docking to screen and determine docking patterns and the binding affinity of baicalin on 3 major targets of SARS-CoV-2 (3-chymotrypsin-like cysteine protease [3CLpro], papain-like protease [PLpro], and RNA-dependent RNA polymerase). The obtained data revealed that baicalin has high pharmacophore fitting on 3CLpro and predicted good binding affinity on PLpro. Moreover, using the enzymatic assay, we examined the inhibitory effect of baicalin in vitro on the screened enzymes. Baicalin also exhibits inhibitory effect on these proteases in vitro. Additionally, we performed pharmacophore-based screening of baicalin on human targets and conducted pathway analysis to explore the potential cytoprotective effects of baicalin in the host cell that may be beneficial for COVID-19 treatment. The result suggested that baicalin has multiple targets in human cell that may induce multiple pharmacological effects. The result of pathway analysis implied that these targets may be associated with baicalin-induced bioactivities that are involved with signals of pro-inflammation factors, such as cytokine and chemokine. Taken together with supportive data from the literature, the bioactivities of bailalin may be beneficial for COVID-19 treatment by reducing cytokine-induced acute inflammation. In conclusion, baicalin is potentially a good candidate for developing new therapeutic to treat COVID-19.

Indexed as

3-Chymotrypsin-like cysteine proteaseBaicalinCoronavirus disease-19Papain-like proteaseSARS-CoV-2

Identifiers

PMID34934765
PMCPMC8647113
OpenAlexW3213754761

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.