Evidence map›Paper›PMID 34603472›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2021

Exploring the Potential Mechanism of Shennao Fuyuan Tang for Ischemic Stroke Based on Network Pharmacology and Molecular Docking.

Jia Min Li, Zhen Ni Mu, Tian Tian Zhang, Xin Li, Yan Shang, Guo Heng Hu

Abstract 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

6 authors.

Jia Min LiAffiliated Hospital of Hunan University of Traditional Chinese Medicine, Changsha, Hunan, China.ORCID https://orcid.org/0000-0002-6475-0375
Zhen Ni MuGraduate School of Hunan University of Traditional Chinese Medicine, Changsha, Hunan, China.ORCID https://orcid.org/0000-0002-3902-9981
Tian Tian ZhangGraduate School of Hunan University of Traditional Chinese Medicine, Changsha, Hunan, China.ORCID https://orcid.org/0000-0002-8728-3634
Xin LiGraduate School of Hunan University of Traditional Chinese Medicine, Changsha, Hunan, China.ORCID https://orcid.org/0000-0001-5922-6950
Yan ShangGraduate School of Hunan University of Traditional Chinese Medicine, Changsha, Hunan, China.ORCID https://orcid.org/0000-0002-9051-7366
Guo Heng HuAffiliated Hospital of Hunan University of Traditional Chinese Medicine, Changsha, Hunan, China.ORCID https://orcid.org/0000-0001-8003-0549

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

methodsScreen the biologically active components and potential targets of SNFYT through Traditional Chinese Medicine Systems Pharmacology (TCMSP), Traditional Chinese Medicines Integrated Database (TCMID), and related literature. In addition, DrugBank, OMIM, DisGeNET, and the Therapeutic Target Database were searched to explore the therapeutic targets of IS. The cross-targets of SNFYT potential targets and IS treatment targets were taken as candidate gene targets, and GO and KEGG enrichment analyses were performed on the candidate targets. On this basis, the SNFYT-component-target network and protein-protein interaction (PPI) network were constructed using Cytoscape 3.7.2. Finally, AutoDock was used to verify the molecular docking of core components and core targets.

resultsWe screened out 95 potentially active components and 143 candidate targets. SNFYT-component-target network, PPI network, and Cytoscape analysis identified four core active ingredients and 14 core targets. GO enrichment analyzed 2333 biological processes, 79 cell components, and 149 molecular functions. There are 170 KEGG-related signal pathways (

conclusionsSNFYT may achieve the effect of treating ischemic stroke through its anti-inflammatory effect through a signal pathway with core targets as the core.

Identifiers

PMID34603472
PMCPMC8486536

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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.