Evidence map›Paper›PMID 35165529›Full record

ArticleChinese herbal medicines2022

Identifying absorbable bioactive constituents of Yupingfeng Powder acting on COVID-19 through integration of UPLC-Q/TOF-MS and network pharmacology analysis.

Linyan Wang, Zhongyan Du, Yang Guan, Bo Wang, Yanling Pei, Lizong Zhang, Mingsun Fang

Open access · goldAbstract read
In one paragraph

Article in Chinese herbal medicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
12.3field-weighted citation impact, top 1% 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

15 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Multivariate Statistical Analysis of Metabolites inFrontiers in plant science · 2022
    Article
  15. Article
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

7 authors at 3 institutions in 1 country.

Linyan WangAcademy of Chinese Medical Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China.
Zhongyan DuAcademy of Chinese Medical Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China.
Yang GuanAcademy of Chinese Medical Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China.
Bo WangAcademy of Chinese Medical Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China.
Yanling PeiXinminhe Pharmaceutical Research & Development (HeBei) Co., Ltd., Baoding 071200, China.
Lizong ZhangAcademy of Chinese Medical Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China.
Mingsun FangAcademy of Chinese Medical Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China.
China Academy of Chinese Medical Sciences · CNZhejiang Chinese Medical University · CNHebei Chemical and Pharmaceutical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Yupingfeng Powder (YPF), a kind of preventative patent medicine, is chosen for treatment of coronavirus disease 2019 (COVID-19) due to its high frequency application in respiratory tract diseases, such as chronic obstructive pulmonary disease, asthma, respiratory tract infections, and pneumonia, with the advantage of reducing the relapse rate and the severity. However, the active components of YPF and the mechanisms of components affecting COVID-19 are unclear. This study aimed to determine active constituents and elucidate its potential mechanisms. Methods: Ultra performance liquid chromatography-quadrupole-time of flight mass spectrometry (UPLC-Q/TOF-MS) and liquid chromatography-triple quadrupole mass spectrometry (LC-QQQ-MS) were used to determine the components and absorbable constituents of YPF. Secondly, TCMSP, Drugbank, Swiss and PharmMapper were used to search the targets of absorbable bioactive constituents of YPF, and the targets of COVID-19 were identified based on GeneCards and OMIM databases. STRING database was used to filter the possible inter-protein interactions. Thirdly, Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways analysis were performed to identify molecular function and systemic involvement of target genes. Results: A total of 61 components of YPF and 36 absorbable constituents were identified through UPLC-Q/TOF-MS. Wogonin, prim- Conclusion: The approach of combining UPLC-Q/TOF-MS with network pharmacology is an effective tool to identify potentially bioactive constituents of YPF and its key targets on treatment of COVID-19.

Indexed as

COVID-19network pharmacologyUPLC-Q/TOF-MSYupingfeng Powder

Identifiers

PMID35165529
PMCPMC8828289
OpenAlexW4210895224

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.