Evidence map›Paper›PMID 32948180›Full record

ArticleBMC complementary medicine and therapies2020

Systems pharmacology-based approach to investigate the mechanisms of Danggui-Shaoyao-san prescription for treatment of Alzheimer's disease.

Qihui Wu, Yunbo Chen, Yong Gu, Shuhuan Fang, Weirong Li, Qi Wang, Jiansong Fang, Chuipu Cai

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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 33 citations in OpenAlex.

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  14. DPHB, a diarylheptane fromFrontiers in pharmacology · 2022
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  20. Frontiers in pharmacology · 2021
    Article
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 1 institution in 1 country.

Qihui WuClinical Research Center, Hainan Provincial Hospital of Traditional Chinese Medicine, Guangzhou University of Chinese Medicine, Haikou, 570000, China.
Yunbo ChenScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, 510000, China.
Yong GuClinical Research Center, Hainan Provincial Hospital of Traditional Chinese Medicine, Guangzhou University of Chinese Medicine, Haikou, 570000, China.
Shuhuan FangScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, 510000, China.
Weirong LiScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, 510000, China.
Qi WangScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, 510000, China. wangqi@gzucm.edu.cn.
Jiansong FangScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, 510000, China. fangjs@gzucm.edu.cn.ORCID http://orcid.org/0000-0002-6998-5384
Chuipu CaiScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, 510000, China. caichuipu@gzucm.edu.cn.
Guangzhou University of Chinese Medicine · CN

Funding

China Postdoctoral Science Foundation funded project 2019M662878National Natural Science Foundation of China NO.81673627National Natural Science Foundation of China No. 81674040National Natural Science Foundation of China No. 81903912Provincial Key Technologies Research and Development Program of Hainan ZDYF2019196the Guangzhou Science Technology and Innovation Commission Technology Research Projects No. 201805010005the Youth Scientific Research Training Project of GZUCM No. 2019QNPY05
6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) is the most common cause of dementia in the elderly, characterized by a progressive and irreversible loss of memory and cognitive abilities. Currently, the prevention and treatment of AD still remains a huge challenge. As a traditional Chinese medicine (TCM) prescription, Danggui-Shaoyao-san decoction (DSS) has been demonstrated to be effective for alleviating AD symptoms in animal experiments and clinical applications. However, due to the complex components and biological actions, its underlying molecular mechanism and effective substances are not yet fully elucidated.

methodsIn this study, we firstly systematically reviewed and summarized the molecular effects of DSS against AD based on current literatures of in vivo studies. Furthermore, an integrated systems pharmacology framework was proposed to explore the novel anti-AD mechanisms of DSS and identify the main active components. We further developed a network-based predictive model for identifying the active anti-AD components of DSS by mapping the high-quality AD disease genes into the global drug-target network.

resultsWe constructed a global drug-target network of DSS consisting 937 unique compounds and 490 targets by incorporating experimental and computationally predicted drug-target interactions (DTIs). Multi-level systems pharmacology analyses revealed that DSS may regulate multiple biological pathways related to AD pathogenesis, such as the oxidative stress and inflammatory reaction processes. We further conducted a network-based statistical model, drug-likeness analysis, human intestinal absorption (HIA) and blood-brain barrier (BBB) penetration prediction to uncover the key ani-AD ingredients in DSS. Finally, we highlighted 9 key ingredients and validated their synergistic role against AD through a subnetwork.

conclusionOverall, this study proposed an integrative systems pharmacology approach to disclose the therapeutic mechanisms of DSS against AD, which also provides novel in silico paradigm for investigating the effective substances of complex TCM prescription.

Indexed as

Models, MolecularProtein Interaction MapsAlzheimer DiseaseAnimalsDrugs, Chinese HerbalMolecular Structuredanggui-shaoyao-sanDrugs, Chinese HerbalAlzheimer’s diseaseDanggui-Shaoyao-sanMechanism of actionSystems pharmacology

Identifiers

PMID32948180
PMCPMC7501700
OpenAlexW3087154753

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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 OpenQuestion graph.