Evidence map›Paper›PMID 32475979›Full record

ArticleMedical science monitor basic research2020

Anti-Alzheimer's Disease Molecular Mechanism of Acori Tatarinowii Rhizoma Based on Network Pharmacology.

Yujia Zhang, Yangshen Wu, Yunbo Fu, Luning Lin, Yiyou Lin, Yehui Zhang, Liting Ji, Changyu Li

Open access · bronzeAbstract read
In one paragraph

Article in Medical science monitor basic research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
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  5. Frontiers in pharmacology · 2023
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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

8 authors at 1 institution in 1 country.

Yujia ZhangCollege of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China (mainland).
Yangshen WuCollege of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China (mainland).
Yunbo FuCollege of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China (mainland).
Luning LinCollege of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China (mainland).
Yiyou LinCollege of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China (mainland).
Yehui ZhangCollege of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China (mainland).
Liting JiCollege of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China (mainland).
Changyu LiDepartment of Chinese Pharmacy, School of Science, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China (mainland).
Zhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Acori Tatarinowii Rhizoma (ATR), a traditional Chinese herbal medicine, is used to treat Alzheimer's disease (AD), which is a worldwide degenerative brain disease. The aim of this study was to identify the potential mechanism and molecular targets of ATR in AD by using network pharmacology. MATERIAL AND METHODS The potential targets of the active ingredients of ATR were predicted by PharmMapper, and the targets of Alzheimer's disease were searched by DisGeNET. All screened genes were intersected to obtain potential targets for the active ingredients of ATR. The protein-protein interaction network of possible targets was established by STRING, GO Enrichment, and KEGG pathway enrichment analyses using the Annotation of DAVID database. Next, Cytoscape was used to build the "components-targets-pathways" networks. Additionally, a "disease-component-gene-pathways" network was constructed and verified by molecular docking methods. In addition, the active constituents ß-asarone and ß-caryophyllene were used to detect Aß₁₋₄₂-mediated SH-SY5Y cells, and mRNA expression levels of APP, Tau, and core target genes were estimated by qRT-PCR. RESULTS The results showed that the active components of ATR participate in related biological processes such as cancer, inflammation, cellular metabolism, and metabolic pathways and are closely related to the 13 predictive targets: ESR1, PPARG, AR, CASP3, JAK2, MAPK14, MAP2K1, ABL1, PTPN1, NR3C1, MET, INSR, and PRKACA. The ATR active components of ß-caryophyllene significantly reduced the mRNA expression levels of APP, TAU, ESR1, PTPN1, and JAK2. CONCLUSIONS The targets and mechanism corresponding to the active ingredients of ATR were investigated systematically, and novel ideas and directions were provided to further study the mechanism of ATR in AD.

Indexed as

AcorusAlzheimer DiseaseChinaMedicine, Chinese TraditionalMolecular Docking SimulationPlant ExtractsProtein Interaction MapsSignal TransductionPlant Extracts

Identifiers

PMID32475979
PMCPMC7304315
OpenAlexW3030593447

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.