Evidence map›Paper›PMID 36046450›Full record

ArticleBioMed research international2022

Network Pharmacology and Molecular Docking-Based Mechanism Study to Reveal Antihypertensive Effect of Gedan Jiangya Decoction.

Hanxing Liu, Shadi A D Mohammed, Fang Lu, Pingping Chen, Yu Wang, Shumin Liu

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Comparative Multi-Omics Analysis and Antitumor Activity ofJournal of microbiology and biotechnology · 2025
    Article
  2. Unlocking the potential ofWorld journal of gastroenterology · 2025
    Article
  3. Article
  4. World journal of gastroenterology · 2024
    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

6 authors at 1 institution in 1 country.

Hanxing LiuGraduate School of Heilongjiang University of Chinese Medicine, Harbin, 150040 Heilongjiang, China.
Shadi A D MohammedGraduate School of Heilongjiang University of Chinese Medicine, Harbin, 150040 Heilongjiang, China.ORCID https://orcid.org/0000-0003-4527-4665
Fang LuInstitute of Traditional Chinese Medicine, Heilongjiang University of Chinese Medicine, Harbin, 150040 Heilongjiang, China.
Pingping ChenInstitute of Traditional Chinese Medicine, Heilongjiang University of Chinese Medicine, Harbin, 150040 Heilongjiang, China.
Yu WangInstitute of Traditional Chinese Medicine, Heilongjiang University of Chinese Medicine, Harbin, 150040 Heilongjiang, China.
Shumin LiuInstitute of Traditional Chinese Medicine, Heilongjiang University of Chinese Medicine, Harbin, 150040 Heilongjiang, China.ORCID https://orcid.org/0000-0002-4812-3494
Heilongjiang University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary hypertension is understood as a disease with diverse etiology, a complicated pathological mechanism, and progressive changes. Gedan Jiangya Decoction (GJD), with the patent publication number CN114246896A, was designed to treat primary hypertension. It contains six botanical drugs; however, the underlying mechanism is uncertain. We utilized network pharmacology to predict the active components, targets, and signaling pathways of GJD in the treatment of primary hypertension. We also investigated the potential molecular mechanism using molecular docking and animal experiments. The Traditional Chinese Medicine System Pharmacology Database and Analysis Platform (TCMSP), the Protein Database (UniProt), and a literature review were used to identify the active components and related targets of GJD's pharmacological effects. The GeneCards, Online Mendelian Inheritance in Man (OMIM), Therapeutic Target Database (TTD), and DrugBank databases were utilized to identify hypertension-related targets. Based on a Venn diagram of designed intersection targets, 214 intersection targets were obtained and 35 key targets for the treatment of hypertension were determined using the STRING data platform and Cytoscape software. The Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of key targets revealed that the relevant molecular action pathways of GJD in the treatment of hypertension include the Toll-like receptor, MAPK, PI3K-Akt, and renin-angiotensin signaling pathways. A GJD active ingredient-key target-pathway connection diagram was created using Cytoscape software, and 11 essential active components were selected. Molecular docking was then used to verify the binding activity of key targets and key active ingredients in GJD to treat primary hypertension. The results of this study indicate that AGTR1, AKT1 with puerarin, EDNRA with tanshinone IIA, MAPK14 with daidzein, MAPK8 with ursolic acid, and CHRM2 with cryptotanshinone had high binding activity to the targets with active components, whereas AGTR1 was selected as target genes verified by our experiment. HPLC was utilized to identify the five active ingredients. Experiments in high-salt rats demonstrated that GJD might decrease the expression of AGTR1 in the kidney and thoracic aorta while increasing the expression of eNOS by preventing the activation of the renin-angiotensin pathway, thereby reducing lowering systolic and diastolic blood pressure.

Indexed as

Drugs, Chinese HerbalHypertensionAngiotensinsAnimalsAntihypertensive AgentsHumansMedicine, Chinese TraditionalMolecular Docking SimulationNetwork PharmacologyPhosphatidylinositol 3-KinasesRatsReninAngiotensinsAntihypertensive AgentsDrugs, Chinese HerbalPhosphatidylinositol 3-KinasesRenin

Identifiers

PMID36046450
PMCPMC9423997
OpenAlexW4294128134

What OpenQuestion holds

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LicenceCC BY
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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.