Evidence map›Paper›PMID 36212940›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

Mechanism of Yangxin Tongmai Decoction in the Treatment of Coronary Heart Disease with Blood Stasis Syndrome Based on Network Pharmacology and Molecular Docking.

Mengxue Zhang, Jia Liu, Xiangzhuo Zhang, Shumeng Zhang, Yujie Jiang, Zixuan Yu, Ting Xie, Yuxia Chen, Lingli Chen, Jie Li

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2022. 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
1.5field-weighted citation impact, top 16% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  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

10 authors at 1 institution in 1 country.

Mengxue ZhangHunan University of Traditional Chinese Medicine, Hunan Changsha 410208, China.ORCID https://orcid.org/0000-0002-5682-6544
Jia LiuHunan University of Traditional Chinese Medicine, Hunan Changsha 410208, China.ORCID https://orcid.org/0000-0003-3683-5272
Xiangzhuo ZhangHunan University of Traditional Chinese Medicine, Hunan Changsha 410208, China.ORCID https://orcid.org/0000-0002-0155-0640
Shumeng ZhangHunan University of Traditional Chinese Medicine, Hunan Changsha 410208, China.ORCID https://orcid.org/0000-0001-7059-8261
Yujie JiangHunan University of Traditional Chinese Medicine, Hunan Changsha 410208, China.ORCID https://orcid.org/0000-0003-4031-2781
Zixuan YuHunan University of Traditional Chinese Medicine, Hunan Changsha 410208, China.ORCID https://orcid.org/0000-0001-8791-3782
Ting XieHunan University of Traditional Chinese Medicine, Hunan Changsha 410208, China.ORCID https://orcid.org/0000-0002-1154-7963
Yuxia ChenHunan University of Traditional Chinese Medicine, Hunan Changsha 410208, China.ORCID https://orcid.org/0000-0001-6044-9086
Lingli ChenHunan Provincial Key Laboratory of Pathogenic Biology Based on Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Hunan Changsha 410208, China.ORCID https://orcid.org/0000-0001-8769-6431
Jie LiHunan University of Traditional Chinese Medicine, Hunan Changsha 410208, China.ORCID https://orcid.org/0000-0001-8147-6884
Hunan University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to explore the mechanism of Yangxin Tongmai decoction (YXTMD) in the treatment of coronary heart disease (CHD) with blood stasis syndrome (BSS) using network pharmacology and molecular docking, and to verify these results through clinical trials. The active compounds of YXTMD were identified using the Traditional Chinese Medicine Systems Pharmacology database, and the targets of the active compounds were predicted using the SwissTarget Prediction database. The targets of CHD and BSS were predicted using the GeneCards, OMIM, PharmGKB, TTD, and DrugBank databases. The common targets of "herb-disease-phenotype" were obtained using a Venn diagram, then used Cytoscape software 3.8.2 and its plug-in CytoNCA and STRING database to construct the "herb active compounds-common target" and protein-protein interaction networks. R language software and bioconductor plug-in were used for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. AutoDock was used for the molecular docking analysis. Finally, clinical trials were conducted to confirm the results of network pharmacology. Eighty-three active components were obtained, and the core active components were 5,7,4'-trimethoxyflavone, tetramethoxyluteolin, isosinensetin, sinensetin, and 5,7-dihydroxy-2-(3-hydroxy-4-methoxyphenyl)chroman-4-one. A total of 140 common targets were identified, and the core targets were EGFR, VEGFA, AKT1, STAT3, TP53, ERBB2, and PIK3CA. Biological processes identified by the GO analysis primarily involved wound healing, regulation of body fluid levels, and vascular process in circulatory system. The cellular components were primarily located in the membrane raft, membrane microdomain, and plasma membrane raft. The primary molecular functions were activity of transmembrane receptor protein kinase, transmembrane receptor protein tyrosine kinase, and protein tyrosine kinase. KEGG analysis showed that the PI3K-Akt signaling pathway was closely related to the treatment of CHD with BSS by YXTMD. Molecular docking results showed that the core active components had a good binding activity with the core targets. The clinical trial results showed that YXTMD improved the BSS scores and decreased the serum levels of total cholesterol and low-density lipoprotein cholesterol. Moreover, the levels of

Identifiers

PMID36212940
PMCPMC9546682
OpenAlexW4298126268

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.