Evidence map›Paper›PMID 28605829›Full record

ReviewBiomolecules & therapeutics2017

Application of Metabolomics to Quality Control of Natural Product Derived Medicines.

Kyung-Min Lee, Jun-Yeong Jeon, Byeong-Ju Lee, Hwanhui Lee, Hyung-Kyoon Choi

Abstract readReview
In one paragraph

Review in Biomolecules & therapeutics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Review
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  4. Plant Metabolomics: The Future of Anticancer Drug Discovery.Pharmaceuticals (Basel, Switzerland) · 2024
    Review
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  6. Article
  7. Article
  8. Review
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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

5 authors.

Kyung-Min LeeCollege of Pharmacy, Chung-Ang University, Seoul 06974, Republic of Korea.
Jun-Yeong JeonCollege of Pharmacy, Chung-Ang University, Seoul 06974, Republic of Korea.
Byeong-Ju LeeCollege of Pharmacy, Chung-Ang University, Seoul 06974, Republic of Korea.
Hwanhui LeeCollege of Pharmacy, Chung-Ang University, Seoul 06974, Republic of Korea.
Hyung-Kyoon ChoiCollege of Pharmacy, Chung-Ang University, Seoul 06974, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics has been used as a powerful tool for the analysis and quality assessment of the natural product (NP)-derived medicines. It is increasingly being used in the quality control and standardization of NP-derived medicines because they are composed of hundreds of natural compounds. The most common techniques that are used in metabolomics consist of NMR, GC-MS, and LC-MS in combination with multivariate statistical analyses including principal components analysis (PCA) and partial least squares-discriminant analysis (PLS-DA). Currently, the quality control of the NP-derived medicines is usually conducted using HPLC and is specified by one or two indicators. To create a superior quality control framework and avoid adulterated drugs, it is necessary to be able to determine and establish standards based on multiple ingredients using metabolic profiling and fingerprinting. Therefore, the application of various analytical tools in the quality control of NP-derived medicines forms the major part of this review. Veregen

Indexed as

MetabolomicsNatural product-derived medicinesQuality controlVeregen®

Identifiers

PMID28605829
PMCPMC5685424

What OpenQuestion holds

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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.