Evidence map›Paper›PMID 33727944›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2021

Network Pharmacology and Molecular Docking Analysis on Molecular Targets and Mechanisms of Buyang Huanwu Decoction in the Treatment of Ischemic Stroke.

Qiang Gao, Danfeng Tian, Zhenyun Han, Jingfeng Lin, Ze Chang, Dandan Zhang, Dayong Ma

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
7.1field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  3. Review
  4. Article
  5. The Mechanism ofToxins · 2023
    Article
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  9. Article
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  11. Frontiers in pharmacology · 2022
    Review
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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

7 authors at 2 institutions in 1 country.

Qiang GaoBeijing University of Chinese Medicine, Beijing 100029, China.ORCID https://orcid.org/0000-0003-1530-9417
Danfeng TianBeijing University of Chinese Medicine, Beijing 100029, China.ORCID https://orcid.org/0000-0002-8371-3887
Zhenyun HanShenzhen Hospital of Beijing University of Chinese Medicine (Longgang), Shenzhen 518172, China.ORCID https://orcid.org/0000-0002-6831-2364
Jingfeng LinBeijing University of Chinese Medicine, Beijing 100029, China.ORCID https://orcid.org/0000-0002-6307-1864
Ze ChangBeijing University of Chinese Medicine, Beijing 100029, China.ORCID https://orcid.org/0000-0003-4475-4106
Dandan ZhangBeijing University of Chinese Medicine, Beijing 100029, China.ORCID https://orcid.org/0000-0001-9299-8223
Dayong MaNeurology Department of Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China.ORCID https://orcid.org/0000-0003-3962-6572
Beijing University of Chinese Medicine · CNDongzhimen Hospital Affiliated to Beijing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

methodsThe bioactive components and potential targets of BHD were screened by TCMSP, BATMAN-TCM, ETCM, and SymMap databases. Besides, compounds that failed to find the targets from the above databases were predicted through STITCH, SwissTargetPrediction, and SEA. Moreover, six databases were searched to mine targets of IS. The intersection targets were obtained and analyzed by GO and KEGG enrichment. Furthermore, BHD-IS PPI network, compound-target network, and herb-target-pathway network were constructed by Cytoscape 3.6.0. Finally, AutoDock was used for molecular docking verification.

resultsA total of 235 putative targets were obtained from 59 active compounds in BHD. Among them, 62 targets were related to IS. PPI network showed that the top ten key targets were IL6, TNF, VEGFA, AKT1, etc. The enrichment analysis demonstrated candidate BHD targets were more frequently involved in TNF, PI3K-Akt, and NF-kappa B signaling pathway. Network topology analysis showed that

conclusionsOur study demonstrated that BHD exerted the effect of treating IS by regulating multitargets and multichannels with multicomponents through the method of network pharmacology and molecular docking.

Identifiers

PMID33727944
PMCPMC7937485
OpenAlexW3134020461

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.