Evidence map›Paper›PMID 40559386›Full record

ReviewMetabolites2025

Bridging Ethnobotanical Knowledge and Multi-Omics Approaches for Plant-Derived Natural Product Discovery.

Kekeletso H Chele, Lizelle A Piater, Justin J J van der Hooft, Fidele Tugizimana

Abstract readReview
In one paragraph

Review in Metabolites, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Antibacterial and Anticancer Potential ofInternational journal of molecular sciences · 2026
    Article
  2. Review
  3. Review
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.

Kekeletso H CheleDepartment of Biochemistry, University of Johannesburg, Auckland Park, Johannesburg 2006, South Africa.
Lizelle A PiaterDepartment of Biochemistry, University of Johannesburg, Auckland Park, Johannesburg 2006, South Africa.ORCID 0000-0002-9526-0109
Justin J J van der HooftDepartment of Biochemistry, University of Johannesburg, Auckland Park, Johannesburg 2006, South Africa.ORCID 0000-0002-9340-5511
Fidele TugizimanaDepartment of Biochemistry, University of Johannesburg, Auckland Park, Johannesburg 2006, South Africa.ORCID 0000-0001-8172-6599

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For centuries, plant-derived natural products (NPs) have been fundamental to traditional medicine, providing essential therapeutic compounds. Ethnobotanical knowledge has historically guided NP discovery, leading to the identification of key pharmaceuticals such as aspirin, morphine, and artemisinin. However, conventional bioactivity-guided fractionation methods for NP isolation are labour-intensive and can result in the loss of bioactive properties due to the focus on a single compound. Advances in omics sciences-genomics, transcriptomics, proteomics, metabolomics, and phenomics-coupled with computational tools have altogether revolutionised NP research by enabling high-throughput screening and more precise compound identification. This review explores how integrating traditional medicinal knowledge with multi-omics strategies enhances NP discovery. We highlight emerging bioinformatics tools, mass spectrometry techniques, and metabologenomics approaches that accelerate the identification, annotation, and functional characterisation of plant-derived metabolites. Additionally, we discuss challenges in omics data integration and propose strategies to harness ethnobotanical knowledge for targeted NP discovery and drug development. By combining traditional wisdom with modern scientific advancements, this integrated approach paves the way for novel therapeutic discoveries and the sustainable utilisation of medicinal plants.

Indexed as

computational toolsethnobotanymetabolite annotationmetabolite identificationmetabologenomicsmetabolomicsnatural productspaired omicstraditional medicine

Identifiers

PMID40559386
PMCPMC12195599

What OpenQuestion holds

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LicenceCC BY
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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.