Evidence map›Paper›PMID 33424585›Full record

ArticleFrontiers in pharmacology2020

A Novel Strategy for Decoding and Validating the Combination Principles of Huanglian Jiedu Decoction From Multi-Scale Perspective.

Ke-Xin Wang, Yao Gao, Wen-Xia Gong, Xiao-Feng Ye, Liu-Yi Fan, Chun Wang, Xue-Fei Gao, Li Gao, Guan-Hua Du, Xue-Mei Qin and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 25 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

12 authors at 5 institutions in 2 countries.

Ke-Xin WangModern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, China.
Yao GaoModern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, China.
Wen-Xia GongModern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, China.
Xiao-Feng YeInstitute of Integrated Bioinformedicine and Translational Science, Hong Kong Baptist University, Hong Kong, China.
Liu-Yi FanDepartment of Orthopaedics and Traumatology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Chun WangInstitute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Xue-Fei GaoDepartment of Physiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Li GaoModern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, China.
Guan-Hua DuModern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, China.
Xue-Mei QinModern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, China.
Ai-Ping LuInstitute of Integrated Bioinformedicine and Translational Science, Hong Kong Baptist University, Hong Kong, China.
Dao-Gang GuanDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Shanxi University of Traditional Chinese Medicine · CNHong Kong Baptist University · HKSouthern Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNNanfang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional Chinese medicine (TCM) formulas treat complex diseases through combined botanical drugs which follow specific compatibility rules to reduce toxicity and increase efficiency. "Jun, Chen, Zuo and Shi" is one of most used compatibility rules in the combination of botanical drugs. However, due to the deficiency of traditional research methods, the quantified theoretical basis of herbal compatibility including principles of "Jun, Chen, Zuo and Shi" are still unclear. Network pharmacology is a new strategy based on system biology and multi-disciplines, which can systematically and comprehensively observe the intervention of drugs on disease networks, and is especially suitable for the research of TCM in the treatment of complex diseases. In this study, we systematically decoded the "Jun, Chen, Zuo and Shi" rules of Huanglian Jiedu Decoction (HJD) in the treatment of diseases for the first time. This interpretation method considered three levels of data. The data in the first level mainly depicts the characteristics of each component in single botanical drug of HJD, include the physical and chemical properties of component, ADME properties and functional enrichment analysis of component targets. The second level data is the characterization of component-target-protein (C-T-P) network in the whole protein-protein interaction (PPI) network, mainly include the characterization of degree and key communities in C-T-P network. The third level data is the characterization of intervention propagation properties of HJD in the treatment of different complex diseases, mainly include target coverage of pathogenic genes and propagation coefficient of intervention effect between target proteins and pathogenic genes. Finally, our method was validated by metabolic data, which could be used to detect the components absorbed into blood. This research shows the scientific basis of "Jun-Chen-Zuo-Shi" from a multi-dimensional perspective, and provides a good methodological reference for the subsequent interpretation of key components and speculation mechanism of the formula.

Indexed as

compatibilityDijkstra modelinformation graph algorithmsystem pharmacologytraditional Chinese medicine

Identifiers

PMID33424585
PMCPMC7789881
OpenAlexW3109256072

What Socratic holds

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LicenceCC BY
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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 Socratic graph.