Evidence map›Paper›PMID 26184333›Full record

ArticleMetabolites2015

A Metabolomic Approach to Target Compounds from the Asteraceae Family for Dual COX and LOX Inhibition.

Daniela A Chagas-Paula, Tong Zhang, Fernando B Da Costa, RuAngelie Edrada-Ebel

Abstract read
In one paragraph

Article in Metabolites, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. The Metabolome of theJournal of natural products · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Quality Assessment and Classification ofMolecules (Basel, Switzerland) · 2023
    Article
  7. Article
  8. Article
  9. ACS omega · 2022
    Article
  10. Changes in Triterpenes inMolecules (Basel, Switzerland) · 2021
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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.

Daniela A Chagas-PaulaUniversity of Strathclyde, the John Arbuthnott Building, 161 Cathedral Street, Glasgow G4 0RE, UK. febcosta@fcfrp.usp.br.
Tong ZhangUniversity of Strathclyde, the John Arbuthnott Building, 161 Cathedral Street, Glasgow G4 0RE, UK. tong.zhang.101@strath.ac.uk.
Fernando B Da CostaSchool of Pharmaceutical Sciences of Ribeirão Preto (FCFRP), University of São Paulo (USP), Department of Pharmaceutical Sciences, Av. Café s/n, Ribeirão Preto-SP 14040-903, Brazil. febcosta@fcfrp.usp.br.
RuAngelie Edrada-EbelUniversity of Strathclyde, the John Arbuthnott Building, 161 Cathedral Street, Glasgow G4 0RE, UK. ruangelie.edrada-ebel@strath.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of metabolomics in phytochemical analysis is an innovative strategy for targeting active compounds from a complex plant extract. Species of the Asteraceae family are well-known to exhibit potent anti-inflammatory (AI) activity. Dual inhibition of the enzymes COX-1 and 5-LOX is essential for the treatment of several inflammatory diseases, but there is not much investigation reported in the literature for natural products. In this study, 57 leaf extracts (EtOH-H2O 7:3, v/v) from different genera and species of the Asteraceae family were tested against COX-1 and 5-LOX while HPLC-ESI-HRMS analysis of the extracts indicated high diversity in their chemical compositions. Using O2PLS-DA (R2 > 0.92; VIP > 1 and positive Y-correlation values), dual inhibition potential of low-abundance metabolites was determined. The O2PLS-DA results exhibited good validation values (cross-validation = Q2 > 0.7 and external validation = P2 > 0.6) with 0% of false positive predictions. The metabolomic approach determined biomarkers for the required biological activity and detected active compounds in the extracts displaying unique mechanisms of action. In addition, the PCA data also gave insights on the chemotaxonomy of the family Asteraceae across its diverse range of genera and tribes.

Indexed as

AsteraceaeCOXHPLC-ESI-HRMSLOXmetabolomicsO2PLS

Identifiers

PMID26184333
PMCPMC4588803

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.