Evidence map›Paper›PMID 30671125›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2018

A Network Pharmacology Approach to Uncover the Potential Mechanism of Yinchensini Decoction.

Guoming Chen, Chuyao Huang, Yunyun Liu, Tengyu Chen, Ruilan Huang, Miaozhen Liang, Jie Zhang, Hua Xu

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.1field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 44 citations in OpenAlex.

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  17. Study on Mechanism of Iridoid Glycosides Derivatives fromEvidence-based complementary and alternative medicine : eCAM · 2020
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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.

Guoming ChenGuangzhou University of Chinese Medicine, Guangzhou, China.ORCID 0000-0002-4125-917X
Chuyao HuangGuangzhou University of Chinese Medicine, Guangzhou, China.ORCID 0000-0002-4537-7499
Yunyun LiuGuangzhou University of Chinese Medicine, Guangzhou, China.ORCID 0000-0002-4618-2933
Tengyu ChenGuangzhou University of Chinese Medicine, Guangzhou, China.ORCID 0000-0002-9670-0364
Ruilan HuangGuangzhou University of Chinese Medicine, Guangzhou, China.
Miaozhen LiangGuangzhou University of Chinese Medicine, Guangzhou, China.ORCID 0000-0002-8324-3838
Jie ZhangGuangzhou University of Chinese Medicine, Guangzhou, China.ORCID 0000-0002-6246-8376
Hua XuDepartment of Paediatrics, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID 0000-0003-2212-7347
Guangzhou University of Chinese Medicine · CNFirst Affiliated Hospital of Guangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo predict and explore the potential mechanism of Yinchensini decoction (YCSND) based on systemic pharmacology.

methodTCMSP database was searched for the active constituents and related target proteins of YCSND. Cytoscape 3.5.1 was used to construct the active ingredient-target interaction of YCSND and network topology analysis, with STRING online database for protein-protein interaction (PPI) network construction and analysis; and collection from the UniProt database of target protein gene name, with the DAVID database for the gene ontology (GO) functional analysis, KEGG pathway enrichment analysis mechanism and targets of YCSND.

resultsThe results indicate the core compounds of YCSND, namely, kaempferol, 7-Methoxy-2-methyl isoflavone, and formononetin. And its core targets are prostaglandin G/H synthase 2, estrogen receptor, Calmodulin, heat shock protein HSP 90, etc. PPI network analysis shows that the key components of the active ingredients of YCSND are JUN, TP53, MARK1, RELA, MYC, and so on. The results of the GO analysis demonstrate that extracellular space, cytosol, and plasma membrane are the main cellular components of YCSND. Its molecular functions are mainly acting on enzyme binding, protein heterodimerization activity, and drug binding. The biological process of YCSND is focused on response to drug, positive regulation of transcription from RNA polymerase II promoter, the response to ethanol, etc. KEGG results suggest that the pathways, including pathways in cancer, hepatitis B, and pancreatic cancer, play a key role in YCSND.

conclusionYCSND exerts its drug effect through various signaling pathways and acts on kinds of targets. By system pharmacology, the potential role of drugs and the mechanism of action can be well predicted.

Identifiers

PMID30671125
PMCPMC6317126
OpenAlexW2905744026

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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.