Evidence map›Paper›PMID 36435778›Full record

ArticleBMC complementary medicine and therapies2022

Computation and molecular pharmacology to trace the anti-rheumatoid activity of Angelicae Pubescentis Radix.

Junhao Zhang, Rui Wang, Xiao Liang, Hao Tian Bai, Ya Lan Li, Shuhui Sun, Qianqian Zhang, Jing Yang

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 9 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

8 authors at 1 institution in 1 country.

Junhao ZhangCollege of Pharmacy, Heilongjiang University of Traditional Chinese Medicine, Harbin, 150000, China.
Rui WangCollege of Pharmacy, Heilongjiang University of Traditional Chinese Medicine, Harbin, 150000, China.
Xiao LiangCollege of Pharmacy, Heilongjiang University of Traditional Chinese Medicine, Harbin, 150000, China.
Hao Tian BaiCollege of Pharmacy, Heilongjiang University of Traditional Chinese Medicine, Harbin, 150000, China.
Ya Lan LiCollege of Pharmacy, Heilongjiang University of Traditional Chinese Medicine, Harbin, 150000, China.
Shuhui SunCollege of Pharmacy, Heilongjiang University of Traditional Chinese Medicine, Harbin, 150000, China.
Qianqian ZhangCollege of Pharmacy, Heilongjiang University of Traditional Chinese Medicine, Harbin, 150000, China.
Jing YangBasic Medical College, Heilongjiang University of Traditional Chinese Medicine, Harbin, 150000, China. yangjingdx@sina.com.
Heilongjiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe mechanism of action of Angelicae Pubescentis Radix in rheumatoid arthritis treatment is complex; the pathways and protein targets involved remain unclear. This study predicted the targets and signaling pathways of Angelicae Pubescentis Radix for rheumatoid arthritis treatment using network pharmacology and molecular docking technology and clarified its mechanism of action using in vitro cellular experiments.

methodsAngelicae Pubescentis Radix active components and related targets were retrieved from the traditional Chinese medicine systems pharmacology database. All human proteins were mined from the global protein database, and the network of active components and targets of Angelicae Pubescentis Radix was drawn using Cytoscape 3.7.1. GeneCard, Online Mendelian Inheritance in Man, and DrugBank databases were used to mine rheumatoid arthritis-related genes. Metascape was used for Gene Ontology function analysis and Kyoto Encyclopedia of Genes and Genomes enrichment pathways. β-sitosterol's molecular docking was determined using AutoDock Tools; pathway verification was performed in the Kyoto Encyclopedia of Genes and Genomes database, and the verified genes were input into the Human Protein Atlas database to observe the expression levels in various human body tissues.

resultsEight main active components were screened out of Angelicae Pubescentis Radix from the traditional Chinese medicine systems pharmacology database, and 60 targets related to major active ingredients were obtained. Forty-two core pathogenic rheumatoid arthritis-related genes were screened from GeneCard and other related databases. The enrichment of the Kyoto Encyclopedia of Genes and Genomes pathway included the vascular endothelial growth factor signaling pathway that proved to be the decisive pathway for rheumatoid arthritis treatment by a high degree value. In vitro experiments confirmed that Angelicae Pubescentis Radix mainly regulated cell proliferation and survival through the vascular endothelial growth factor signaling pathway and showed significant therapeutic effects on rheumatoid arthritis. The prostaglandin endoperoxide synthase 2 gene was associated with rheumatoid arthritis via pathway verification and monitoring of human gene expression levels.

conclusionsThe mechanism of the multi-component, multi-target, and multi-channel treatment of rheumatoid arthritis via Angelicae Pubescentis Radix was explored using network pharmacology and molecular docking technology, providing new thinking and research directions for future rheumatoid arthritis treatment using Angelicae Pubescentis Radix.

Indexed as

Arthritis, RheumatoidDrugs, Chinese HerbalHumansMedicine, Chinese TraditionalMolecular Docking SimulationVascular Endothelial Growth Factor ADrugs, Chinese HerbalVascular Endothelial Growth Factor AAngelicae Pubescentis RadixCell experimentMolecular docking technologyNetwork pharmacologyRheumatoid jointSignaling pathway

Identifiers

PMID36435778
PMCPMC9701395
OpenAlexW4309988263

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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.