Evidence map›Paper›PMID 38526815›Full record

ArticleJournal of food and drug analysis2023

Analysis and identification of phenolic compounds with antiproliferative activity from Chinese olive (Canarium album L.) fruit extract by HPLC-DAD-SPE-TT-NMR.

Yu-Te Yeh, Chien-Kuang Chen, Yi-Chun Liao, Shoei-Sheng Lee, Shu-Chen Hsieh

Open access · hybridAbstract read
In one paragraph

Article in Journal of food and drug analysis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 2 countries.

Yu-Te YehInstitute of Food Science and Technology, National Taiwan University, Taipei, Taiwan.
Chien-Kuang ChenSchool of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan.
Yi-Chun LiaoDepartment of Biochemical Science and Technology, National Taiwan University, Taipei, Taiwan.
Shoei-Sheng LeeSchool of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan.
Shu-Chen HsiehInstitute of Food Science and Technology, National Taiwan University, Taipei, Taiwan.
National Taiwan University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chinese olives (Canarium album L.) are rich in phenolic compounds, exhibiting a broad spectrum of potential clinical applications. This study is the first report on the isolation and elucidation of bioactive compounds with high antiproliferative activity from the ethyl acetate fraction of a Chinese olive fruit methanolic extract (CO-EtOAc). We used the WST-1 assay to determine which subfractions of CO-EtOAc had significant antiproliferative activity using the murine colon cancer cell line CT26. Subsequently, the functional compounds were characterized by the hyphenated technique and high-performance liquid chromatography-diode array detector-solid phase extraction-transfer tube-nuclear magnetic resonance (HPLC-DAD-SPE-TT-NMR). Thirteen phenolic constituents were identified from the antiproliferation-enhancing subfractions of CO-EtOAc, including two new compounds, 2,4-didehydrochebulic acid 1,7-dimethyl ester (5) and 1-hydroxybrevifolin (7), which were further purified and found to exhibit marked antiproliferative activity. Chebulic acid dimethyl ester (2), which was isolated from C. album for the first time, also possessed antiproliferative activity.

Indexed as

FruitPhenolsAnimalsChromatography, High Pressure LiquidEstersMagnetic Resonance SpectroscopyMicePlant ExtractsEstersPhenolsPlant Extracts

Identifiers

PMID38526815
PMCPMC10962664
OpenAlexW4389868453

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.