Evidence map›Paper›PMID 32600331›Full record

ArticleBMC complementary medicine and therapies2020

Analysis of the pharmacological mechanism of Banxia Xiexin decoction in treating depression and ulcerative colitis based on a biological network module.

Ying Yu, Gong Zhang, Tao Han, Hailiang Huang

Open access · goldAbstract read
In one paragraph

Article in BMC complementary medicine and therapies, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
4.4field-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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Herbal medicine,Frontiers in pharmacology · 2023
    Pooled it
  2. Journal of microbiology and biotechnology · 2026
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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

4 authors at 1 institution in 1 country.

Ying YuCollege of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China.ORCID https://orcid.org/0000-0002-3404-0006
Gong ZhangCollege of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China.ORCID https://orcid.org/0000-0002-9425-4727
Tao HanGraduate Office of Shandong University of Traditional Chinese Medicine, Jinan, 250355, China.ORCID https://orcid.org/0000-0003-3463-3319
Hailiang HuangCollege of Rehabilitation Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China. 06000031@sdutcm.edu.cn.ORCID https://orcid.org/0000-0003-1186-4501
Shandong University of Traditional Chinese Medicine · CN

Funding

Mechanism and Efficacy Evaluation by the excellent scientific research and innovation teams at Shandong University of Traditional Chinese Medicine in the treatment of major diseases 220316
6 · The paper itself

Abstract

backgroundThe network pharmacology method was used to predict the active components of Banxia Xiexin decoction, its targets and the key signalling pathways that are activated in the treatment of depression and ulcerative colitis to explore the common mechanism.

methodsThe active components and targets of Banxia Xiexin decoction were obtained by searching the ETCM,TCMSP and TCMIP database. The disease targets of depression and ulcerative colitis were obtained by combining the following the DisGeNET, OMIM,Drugbank,CTD and PharmGKB disease databases. The drug and disease target genes were obtained from the intersection of the herbal medicine targets and the disease targets and were imported into the STRING platform for the analysis of PPI network. The network modules were constructed using Cytoscape software. An analysis of the functional annotations of GO terms and KEGG signalling pathways was performed for each network module. Then, the tissue distribution, sub-cellular distribution and protein attributes of the key targets in the pathway were analysed by the BioGPS, Genecards and DisGeNET databases.

resultsThe mechanism of Banxia Xiexin Decoction in the treatment of depression and ulcerative colitis is related to drug reaction, steroid metabolism, lipid metabolism, inflammatory response, oxidative stress response, cell response to lipopolysaccharide, insulin secretion regulation, estradiol response and other biological functions, mainly through the regulation of 5-hydroxytryptamine synaptic, arachidonic acid metabolism, HIF-1 signaling pathway and NF-kappa B signaling pathway can achieve the effect of same treatment for different diseases.

conclusionsThe mechanism of Banxia Xiexin Decoction in treating different diseases involves direct or indirect correlation of multiple signal pathways, mainly involved in drug metabolism and lipid metabolism, but also through comprehensive intervention of the body's nervous system, immune system, digestive system and other systems. The effective components of Banxia Xiexin Decoction are mainly act on eight key target proteins (such as ALB, IL6, VEGFA, TNF, PTGS2, MAPK1, STAT3, EGFR) to carry out multi-target effect mechanism, biological mechanism of treating different diseases with the same treatment, and related mechanism of overall treatment, which provide theoretical reference for further research on the material basis and mechanism of Banxiaxiexin decoction on antidepressant and prevention and treatment of ulcerative colitis.

Indexed as

Medicine, Chinese TraditionalColitis, UlcerativeDatabases, GeneticDepressionDrugs, Chinese HerbalHumansProtein Interaction MapsSignal Transductionbanxia xiexin decoctionDrugs, Chinese HerbalBanxia Xiexin decoctionDepressionModule analysisNetwork pharmacologySignal pathwayTargetUlcerative colitis

Identifiers

PMID32600331
PMCPMC7325019
OpenAlexW3037801745

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.