Evidence map›Paper›PMID 35413898›Full record

ArticleBMC complementary medicine and therapies2022

Uncovering the potential mechanism of Xue Fu Zhu Yu Decoction in the treatment of intracerebral hemorrhage.

Dao-Jin Xue, Zheng Zhen, Ke-Xin Wang, Jia-Lin Zhao, Yao Gao, Yu-Peng Chen, You-Bi Shen, Zi-Zhuang Peng, Dao-Gang Guan, Tao Huang

Open access · goldAbstract read
In one paragraph

Article in BMC complementary medicine and therapies, 2022. 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
1.1field-weighted citation impact, top 22% 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, 10 citations in OpenAlex.

  1. Review
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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

10 authors at 3 institutions in 1 country.

Dao-Jin Xue *The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510000, China.
Zheng Zhen *The Second Clinical Medical School of Guangzhou University of Chinese Medicine, Guangzhou, 510000, China.
Ke-Xin Wang *Neurosurgery Center, Guangdong Provincial Key Laboratory On Brain Function Repair and Regeneration, Department of Cerebrovascular Surgery, Engineering Technology Research Center of Education Ministry of China On Diagnosis and Treatment of Cerebrovascular Disease, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, 510000, China.
Jia-Lin ZhaoDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510000, China.
Yao GaoDepartment of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, 030001, China.
Yu-Peng ChenDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510000, China.
You-Bi ShenThe Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510000, China.
Zi-Zhuang PengThe Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510000, China.
Dao-Gang GuanDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510000, China. guandg0929@hotmail.com.
Tao HuangThe Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510000, China. arteries@163.com.
Guangzhou University of Chinese Medicine · CNSouthern Medical University · CNFirst Hospital of Shanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChinese herbal medicine (CHM) is characterized by "multi- compounds, multi-targets and multi-pathway", which has advanced benefits for preventing and treating complex diseases, but there still exists unsolved issues, mainly include unclear material basis and underlying mechanism of prescription. Integrated pharmacology is a hot cross research area based on system biology, mathematics and poly-pharmacology. It can systematically and comprehensively investigate the therapeutic reaction of compounds or drugs on pathogenic genes network, and is especially suitable for the study of complex CHM systems. Intracerebral Hemorrhage (ICH) is one of the main causes of death among Chinese residents, which is characterized with high mortality and high disability rate. In recent years, the treatment of ICH by CHM has been deeply researched. Xue Fu Zhu Yu Decoction (XFZYD), one of the commonly used prescriptions in treating ICH at clinic level, has not been clear about its mechanism.

methodsHere, we established a strategy, which based on compounds-targets, pathogenetic genes, network analysis and node importance calculation. Using this strategy, the core compounds group (CCG) of XFZYD was predicted and validated by in vitro experiments. The molecular mechanism of XFZYD in treating ICH was deduced based on CCG and their targets.

resultsThe results show that the CCG with 43 compounds predicted by this model is highly consistent with the corresponding Compound-Target (C-T) network in terms of gene coverage, enriched pathway coverage and accumulated contribution of key nodes at 89.49%, 88.72% and 90.11%, respectively, which confirmed the reliability and accuracy of the effective compound group optimization and mechanism speculation strategy proposed by us.

conclusionsOur strategy of optimizing the effective compound groups and inferring the mechanism provides a strategic reference for explaining the optimization and inferring the molecular mechanism of prescriptions in treating complex diseases of CHM.

Indexed as

Drugs, Chinese HerbalCerebral HemorrhageHumansMedicine, Chinese TraditionalReproducibility of ResultsDrugs, Chinese HerbalChinese herbal medicine (CHM)Important gene network modelIntegrated pharmacologyIntracerebral Hemorrhage (ICH)Mechanism

Identifiers

PMID35413898
PMCPMC9004081
OpenAlexW4226327250

What OpenQuestion holds

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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.