Evidence map›Paper›PMID 34690779›Full record

ArticleFrontiers in pharmacology2021

Grey Relational Analysis Combined With Network Pharmacology to Identify Antioxidant Components and Uncover Its Mechanism From Moutan Cortex.

Yingchun Zhang, Xiaoyi Wu, Xinhui Wang, Yue Zeng, Yixuan Liao, Ruizhi Zhang, Fuqiang Zhai, Zhongliang Zeng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.2field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

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  10. Journal of evidence-based integrative medicine
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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 3 institutions in 1 country.

Yingchun ZhangCollege of Pharmaceutical Sciences and Chinese Medicine, Southwest University, Chongqing, China.
Xiaoyi WuSchool of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Xinhui WangCollege of Pharmaceutical Sciences and Chinese Medicine, Southwest University, Chongqing, China.
Yue ZengCollege of Pharmaceutical Sciences and Chinese Medicine, Southwest University, Chongqing, China.
Yixuan LiaoCollege of Pharmaceutical Sciences and Chinese Medicine, Southwest University, Chongqing, China.
Ruizhi ZhangCollege of Pharmaceutical Sciences and Chinese Medicine, Southwest University, Chongqing, China.
Fuqiang ZhaiChongqing University of Arts and Sciences, Chongqing, China.
Zhongliang ZengCollege of Pharmaceutical Sciences and Chinese Medicine, Southwest University, Chongqing, China.
Southwest University · CNCapital Medical University · CNChongqing University of Arts and Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study determines the potential antioxidants in Moutan Cortex (MC) and predicts its targets of anti-oxidative activities. The quantitative analysis and the free radical scavenging assays were conducted to detect the main components in MC and assess its anti-oxidant activities. The grey relational analysis and the network pharmacology approach were employed to predict its key components and targets of anti-oxidant activities. Six main constitutes in MCs were quantified by high performance liquid chromatography (HPLC) and its anti-oxidant activities were evaluated by DPPH and ABTS free radical scavenging methods. Then grey relational analysis was employed to predict the key components acting on anti-oxidative activity based on the chem-bio results. The predicted components and its mechanisms on anti-oxidation were uncovered by network pharmacology approach and cell test, respectively. The content of paeonol and paeoniflorin accounts for more than 80% the whole content of detected components. However, the two main ingredients showed a great variety among MCs. The antioxidant capacities of MCs also showed a great discrepancy based on DPPH and ABTS methods. The key components acting on anti-oxidation were identified to be paeonol, gallic acid and benzoylpaeoniflorin, and their potential therapeutic targets were predicted and verified, respectively. The present results reveal that MC has a significant antioxidant activity and the compounds of paeonol, gallic acid and benzoylpaeoniflorin could be considered as the promising antioxidant candidates with the property of suppressing oxidative stress and apoptosis.

Indexed as

antioxidantgrey relational analysisnetwork pharmacologypaeonia suffruticosa andrpaeonol

Identifiers

PMID34690779
PMCPMC8529071
OpenAlexW3207313829

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.