Evidence map›Paper›PMID 27464466›Full record

ArticleScientific reports2016

Evolutionary prediction of medicinal properties in the genus Euphorbia L.

Madeleine Ernst, C Haris Saslis-Lagoudakis, Olwen M Grace, Niclas Nilsson, Henrik Toft Simonsen, James W Horn, Nina Rønsted

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Acteoside exerts neuroprotective effects by preventing α-synuclein aggregation and oxidative stress in models of Parkinson's disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Article
  5. Article
  6. Article
  7. An Integrative Study ofPharmaceutics · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Evaluation of plant sources for antiinfective lead compound discovery by correlating phylogenetic, spatial, and bioactivity data.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  16. Review
  17. Review
  18. Article
  19. Ewé: a web-based ethnobotanical database for storing and analysing data.Database : the journal of biological databases and curation · 2020
    Article
  20. Assessing the utility of conserving evolutionary history.Biological reviews of the Cambridge Philosophical Society · 2019
    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

7 authors.

Madeleine ErnstNatural History Museum of Denmark, Faculty of Science, University of Copenhagen, Sølvgade 83S, DK-1307 Copenhagen K, Denmark.
C Haris Saslis-LagoudakisNatural History Museum of Denmark, Faculty of Science, University of Copenhagen, Sølvgade 83S, DK-1307 Copenhagen K, Denmark.
Olwen M GraceComparative Plant &Fungal Biology, Royal Botanic Gardens, Kew, Surrey TW9 3AB, United Kingdom.
Niclas NilssonSkin Research, LEO Pharma A/S, Industriparken 55, DK-2750 Ballerup, Denmark.
Henrik Toft SimonsenDepartment of Systems Biology, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark.
James W HornNatural and Applied Sciences, University of Wisconsin, Green Bay, LS 458, UW-Green Bay, 2420 Nicolet Dr, Green Bay, WI 54311-7001, USA.
Nina RønstedNatural History Museum of Denmark, Faculty of Science, University of Copenhagen, Sølvgade 83S, DK-1307 Copenhagen K, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current decrease of new drugs brought to the market has fostered renewed interest in plant-based drug discovery. Given the alarming rate of biodiversity loss, systematic methodologies in finding new plant-derived drugs are urgently needed. Medicinal uses of plants were proposed as proxy for bioactivity, and phylogenetic patterns in medicinal plant uses have suggested that phylogeny can be used as predictive tool. However, the common practice of grouping medicinal plant uses into standardised categories may restrict the relevance of phylogenetic predictions. Standardised categories are mostly associated to systems of the human body and only poorly reflect biological responses to the treatment. Here we show that medicinal plant uses interpreted from a perspective of a biological response can reveal different phylogenetic patterns of presumed underlying bioactivity compared to standardised methods of medicinal plant use classification. In the cosmopolitan and pharmaceutically highly relevant genus Euphorbia L., identifying plant uses modulating the inflammatory response highlighted a greater phylogenetic diversity and number of potentially promising species than standardised categories. Our interpretation of medicinal plant uses may therefore allow for a more targeted approach for future phylogeny-guided drug discovery at an early screening stage, which will likely result in higher discovery rates of novel chemistry with functional biological activity.

Indexed as

EuphorbiaPhylogenyPlants, MedicinalEthnobotanyHumansInflammationMedicine, TraditionalPhytotherapy

Identifiers

PMID27464466
PMCPMC4964329

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.