Evidence map›Paper›PMID 30718789›Full record

ArticleScientific reports2019

A strategy for qualitative and quantitative profiling of glycyrrhiza extract and discovery of potential markers by fingerprint-activity relationship modeling.

Yujing Zhang, Chao Wang, Fangliang Yang, Guoxiang Sun

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Biological Screening ofPharmaceuticals (Basel, Switzerland) · 2022
    Article
  3. The potential of glycyrrhizin and licorice extract in combating COVID-19 and associated conditions.Phytomedicine plus : international journal of phytotherapy and phytopharmacology · 2021
    Review
  4. Article
  5. Quality Evaluation ofJournal of analytical methods in chemistry · 2021
    Article
  6. 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

4 authors.

Yujing ZhangSchool of Pharmacy, Shenyang Pharmaceutical University, Shenyang, P. R. China.
Chao WangSchool of Pharmaceutical Engineering, Shenyang Pharmaceutical University, Shenyang, P. R. China.
Fangliang YangSchool of Pharmacy, Shenyang Pharmaceutical University, Shenyang, P. R. China.
Guoxiang SunSchool of Pharmacy, Shenyang Pharmaceutical University, Shenyang, P. R. China. gxswmwys@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was to evaluate the quality consistency of glycyrrhiza extract and to explore the possible anti-oxidant components in combination with chromatographic fingerprint and bioactivity evaluation. Characteristic fingerprints of glycyrrhiza extract samples from different sources were generated by high performance liquid chromatography with diode array detector (HPLC-DAD) and evaluated using hierarchical clustering and similarity analysis. Compared with the conventional qualitative similarity evaluation method, the averagely linear quantified fingerprint method had an important quantitative similarity parameter supported by quantitative analysis, which was recommended in the fingerprint evaluation. Antioxidant activities of the glycyrrhiza extract samples were determined by DPPH (2, 2-diphenyl-1-picryldrazyl) radical scavenging assays. In addition, the fingerprint-efficacy relationship was investigated by the chemical fingerprints and the anti-oxidant activities utilizing partial least squares model, which was capable of exploring and discovering the bioactive components of glycyrrhiza extracts. Therefore, the present study provided a powerful strategy to evaluate the holistic quality consistency of medicinal plant.

Indexed as

Models, TheoreticalAlgorithmsAntioxidantsChromatography, High Pressure LiquidCluster AnalysisGlycyrrhizaMolecular StructurePhytochemicalsPlant ExtractsStructure-Activity RelationshipAntioxidantsPhytochemicalsPlant Extracts

Identifiers

PMID30718789
PMCPMC6361909

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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.