Evidence map›Paper›PMID 41441021›Full record

ArticleMetabolites2025

Untargeted Metabolomics for Profiling of Cascara, Senna, Rhubarb, and Frangula Metabolites.

Paola Nezi, Alessia Lucia Prete, Filippo Costanti, Vittoria Cicaloni, Mattia Cicogni, Laura Tinti, Laura Salvini, Monica Bianchini

Abstract read
In one paragraph

Article in Metabolites, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Paola NeziFondazione Toscana Life Sciences, Via Fiorentina 1, 53100 Siena, Italy.ORCID 0009-0003-2972-0028
Alessia Lucia PreteFondazione Toscana Life Sciences, Via Fiorentina 1, 53100 Siena, Italy.ORCID 0009-0008-3605-0700
Filippo CostantiDepartment of Information Engineering and Mathematics, University of Siena, Via Roma, 56, 53100 Siena, Italy.ORCID 0000-0002-1668-9557
Vittoria CicaloniFondazione Toscana Life Sciences, Via Fiorentina 1, 53100 Siena, Italy.ORCID 0000-0002-8329-1565
Mattia CicogniFondazione Toscana Life Sciences, Via Fiorentina 1, 53100 Siena, Italy.
Laura TintiFondazione Toscana Life Sciences, Via Fiorentina 1, 53100 Siena, Italy.ORCID 0000-0002-0607-6212
Laura SalviniFondazione Toscana Life Sciences, Via Fiorentina 1, 53100 Siena, Italy.ORCID 0000-0002-2923-8157
Monica BianchiniDepartment of Information Engineering and Mathematics, University of Siena, Via Roma, 56, 53100 Siena, Italy.ORCID 0000-0002-8206-8142

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesNatural products containing hydroxyanthracene derivatives (HADs) such as Cascara (

methodsFour commercial botanical raw materials were extracted with 60% methanol and analysed by UPLC-HRMS/MS in positive and negative ion modes. Features were processed in Compound Discoverer and annotated by accurate mass and MS/MS matching against spectral databases, then assigned to structural classes using a graph neural network classifier. Multivariate analyses (PCA, HCA) were used to compare metabolic patterns across species.

resultsIn total, 93, 83, 83 and 51 metabolites were annotated in cascara, frangula, rhubarb, and senna, respectively, spanning flavonoids, anthraquinones, phenylpropanoids and other classes. Only four flavonoids were shared by all species, indicating marked biochemical divergence. Several putatively species-enriched features were observed, including pavine in cascara and frangula, vicenin-2 in senna, and piceatannol in rhubarb. Senna displayed the most distinct metabolic profile, whereas cascara and frangula clustered closely.

conclusionsThis work provides a chemistry-centred metabolomic fingerprint of four HAD-containing herbal drugs using graph-based neural networks for natural product classification, supporting future studies on the pharmacological potential, bioavailability and safety of their metabolites.

Indexed as

hydroxyanthracene derivativesmedicinal plantssecondary metabolitesuntargeted metabolomics

Identifiers

PMID41441021
PMCPMC12734871

What OpenQuestion holds

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Registered trials

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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.