ArticlePloS one2025
Metabolomics and databases driven approach of identification of phytochemicals from seed of Salvia schimperi using high-performance liquid chromatography tandem mass spectrometry.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Salvia schimperi is widely used in Ethiopian folk medicine, particularly its raw and roasted seeds for treating ailments such as diarrhea. While numerous reports on its traditional uses and biological activities exist, limited chemical datasets are available on this plant. This study aimed to annotate and identify the phytochemical constituents in S. schimperi seed extracts. The ground samples of S. schimperi seeds (raw and roasted) were extracted with 80% methanol prior to metabolomic analysis using LCMS. Data processing and compound identification were conducted using MZmine, SIRIUS and XCMS platforms. Multivariate statistical analyses and biological targets prediction were carried out via XCMS, MetaboAnalyst, BindingDB and Therapeutic Target Databases. Annotation by SIRIUS based on ZODIAC, SIRIUS and confidence scores criteria, validated 99 of the 689 identified compounds. Among the compounds annotated by METLIN in XCMS, 105 were predicted to be of significant value based on multivariate analysis of MetaboAnalyst. Compounds annotated comprised of primary and secondary metabolites. Two alkaloid compounds (actinonin and indole acrylate) were identified as significant from SIRIUS and METLIN/MetaboAnalyst, with actinonin described as a potent antibacterial metabolite. To our knowledge, this study represents the first metabolomic fingerprinting of S. schimperi seed extracts, revealing diverse bioactive phytochemicals with nutritional and therapeutic potential. The consistent identification of actinonin suggests promising antibacterial applications. Roasting significantly alters the metabolite profile, reducing certain nutritional components such as isoleucine. These findings underline the importance of processing methods in determining phytochemical composition and bioactivity. Further research would explore the toxicity and potential functional food applications.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.