Evidence map›Paper›PMID 24598793›Full record

ArticlePloS one2014

A network pharmacology approach to understanding the mechanisms of action of traditional medicine: Bushenhuoxue formula for treatment of chronic kidney disease.

Shao-hua Shi, Yue-piao Cai, Xiao-jun Cai, Xiao-yong Zheng, Dong-sheng Cao, Fa-qing Ye, Zheng Xiang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
10.7field-weighted citation impact, top 1% 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

46 citing papers in PubMed, 102 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Shao-hua ShiSchool of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China.
Yue-piao CaiSchool of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China.
Xiao-jun CaiSchool of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China.
Xiao-yong ZhengSchool of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China.
Dong-sheng CaoSchool of Pharmaceutical Sciences, Central South University, Changsha, China.
Fa-qing YeSchool of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China.
Zheng XiangSchool of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China.
Wenzhou Medical University · CNCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional Chinese medicine (TCM) has unique therapeutic effects for complex chronic diseases. However, for the lack of an effective systematic approach, the research progress on the effective substances and pharmacological mechanism of action has been very slow. In this paper, by incorporating network biology, bioinformatics and chemoinformatics methods, an integrated approach was proposed to systematically investigate and explain the pharmacological mechanism of action and effective substances of TCM. This approach includes the following main steps: First, based on the known drug targets, network biology was used to screen out putative drug targets; Second, the molecular docking method was used to calculate whether the molecules from TCM and drug targets related to chronic kidney diseases (CKD) interact or not; Third, according to the result of molecular docking, natural product-target network, main component-target network and compound-target network were constructed; Finally, through analysis of network characteristics and literature mining, potential effective multi-components and their synergistic mechanism were putatively identified and uncovered. Bu-shen-Huo-xue formula (BSHX) which was frequently used for treating CKD, was used as the case to demonstrate reliability of our proposed approach. The results show that BSHX has the therapeutic effect by using multi-channel network regulation, such as regulating the coagulation and fibrinolytic balance, and the expression of inflammatory factors, inhibiting abnormal ECM accumulation. Tanshinone IIA, rhein, curcumin, calycosin and quercetin may be potential effective ingredients of BSHX. This research shows that the integration approach can be an effective means for discovering active substances and revealing their pharmacological mechanisms of TCM.

Indexed as

Computational BiologyDrugs, Chinese HerbalHumansMedicine, Chinese TraditionalMolecular Docking SimulationProtein Interaction MapsRenal Insufficiency, Chronicbushen huoxueDrugs, Chinese Herbal

Identifiers

PMID24598793
PMCPMC3943740
OpenAlexW2025687548

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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.