Evidence map›Paper›PMID 33505509›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2021

Study on the Potential Mechanism of Fructus Tribuli in the Treatment of Hypertensive Vascular Remodeling Based on Network Pharmacology and Molecular Docking.

Shuyue Wang, Fei Guo, Xiaochen Sun, Xiao Song, Yaohui Yuan, Chao Zhang, Guitao Lin, Huagang Sheng

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Luteolin is an Effective Component ofClinical, cosmetic and investigational dermatology · 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 2 institutions in 1 country.

Shuyue WangSchool of Pharmaceutical Sciences, Shandong University of Traditional Chinese Medicine, Jinan 250355, China.
Fei GuoThe Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250011, China.
Xiaochen SunSchool of Pharmaceutical Sciences, Shandong University of Traditional Chinese Medicine, Jinan 250355, China.
Xiao SongSchool of Pharmaceutical Sciences, Shandong University of Traditional Chinese Medicine, Jinan 250355, China.
Yaohui YuanSchool of Pharmaceutical Sciences, Shandong University of Traditional Chinese Medicine, Jinan 250355, China.
Chao ZhangSchool of Pharmaceutical Sciences, Shandong University of Traditional Chinese Medicine, Jinan 250355, China.ORCID https://orcid.org/0000-0001-9533-3737
Guitao LinSchool of Pharmaceutical Sciences, Shandong University of Traditional Chinese Medicine, Jinan 250355, China.
Huagang ShengSchool of Pharmaceutical Sciences, Shandong University of Traditional Chinese Medicine, Jinan 250355, China.ORCID https://orcid.org/0000-0003-2299-7553
Shandong University of Traditional Chinese Medicine · CNAffiliated Hospital of Shandong University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertensive vascular remodeling (HVR) is the pathophysiological basis of hypertension, which is also an important cause of vascular disease and target organ damage. Treatment with Fructus Tribuli (FT), a traditional Chinese medicine, has a positive effect on HVR. However, the pharmacological mechanisms of FT are still unclear. Therefore, this study aimed to reveal the potential mechanisms involved in the effects of FT on HVR based on network pharmacology and molecular docking. MATERIALS AND

methodsWe selected the active compounds and targets of FT according to the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and the Swiss Target Prediction database, and the targets of HVR were collected from the Online Mendelian Inheritance in Man (OMIM), GeneCards, and DrugBank databases. The protein-protein interaction network (PPI) was established using the STRING database. Moreover, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses and network analysis were performed to further explore the potential mechanisms. Finally, molecular docking methods were used to evaluate the affinity between the active compounds and the main target.

resultsSeventeen active compounds of FT  and 164 potential targets for the treatment of HVR were identified. Component-target and PPI networks were constructed, and 12 main active components and 33 main targets were identified by analyzing the topological parameters. Additionally, GO analysis indicated that the potential targets were enriched in 483 biological processes, 52 cellular components, and 110 molecular functions. KEGG analysis revealed that the potential targets were correlated with 122 pathways, such as the HIF-1 signaling pathway, ErbB signaling pathway, and VEGF signaling pathway. Finally, molecular docking showed that the 12 main active components had a good affinity for the top five main targets.

conclusionThis study demonstrated the multiple compounds, targets, and pathway characteristics of FT in the treatment of HVR. The network pharmacology method provided a novel research approach to analyze potential mechanisms.

Identifiers

PMID33505509
PMCPMC7810546
OpenAlexW3119082247

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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.