Evidence map›Paper›PMID 40124017›Full record

ArticleACS omega2025

Deciphering Steroidal and Aporphine Alkaloids as Antileukemic Agents by Approaches of Molecular Networking and Metabolomics.

Suni Liu, Katyuce Souza Farias, Vanessa Samudio Santos Zanuncio, Geraldo Alves Damasceno Júnior, Flávio Macedo Alves, Edgar J Paredes-Gamero, Kamylla Fernanda Souza de Souza, Lucas Roberto Pessatto, Heron Fernandes Vieira Torquato, Carlos Alexandre Carollo and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Suni LiuFaculty of Pharmaceutical Sciences, Food and Nutrition (FACFAN), Laboratory of Natural Products and Mass Spectrometry (LaPNEM), Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul 79070-900, Brazil.
Katyuce Souza FariasFaculty of Pharmaceutical Sciences, Food and Nutrition (FACFAN), Laboratory of Natural Products and Mass Spectrometry (LaPNEM), Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul 79070-900, Brazil.
Vanessa Samudio Santos ZanuncioFaculty of Pharmaceutical Sciences, Food and Nutrition (FACFAN), Laboratory of Natural Products and Mass Spectrometry (LaPNEM), Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul 79070-900, Brazil.
Geraldo Alves Damasceno JúniorLaboratory of Botany, Institute of Biosciences (INBIO), Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul 79070-900, Brazil.
Flávio Macedo AlvesLaboratory of Botany, Institute of Biosciences (INBIO), Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul 79070-900, Brazil.
Edgar J Paredes-GameroLaboratory of Molecular Biology and Cell Cultures, Faculty of Pharmaceutical Sciences, Food and Nutrition (FACFAN), Federal University of Mato Grosso do Sul, 79070-900, Mato Grosso do Sul Campo Grande, Brazil.
Kamylla Fernanda Souza de SouzaLaboratory of Molecular Biology and Cell Cultures, Faculty of Pharmaceutical Sciences, Food and Nutrition (FACFAN), Federal University of Mato Grosso do Sul, 79070-900, Mato Grosso do Sul Campo Grande, Brazil.
Lucas Roberto PessattoLaboratory of Molecular Biology and Cell Cultures, Faculty of Pharmaceutical Sciences, Food and Nutrition (FACFAN), Federal University of Mato Grosso do Sul, 79070-900, Mato Grosso do Sul Campo Grande, Brazil.
Heron Fernandes Vieira TorquatoLaboratory of Molecular Biology and Cell Cultures, Faculty of Pharmaceutical Sciences, Food and Nutrition (FACFAN), Federal University of Mato Grosso do Sul, 79070-900, Mato Grosso do Sul Campo Grande, Brazil.ORCID https://orcid.org/0000-0002-9480-9657
Carlos Alexandre CarolloFaculty of Pharmaceutical Sciences, Food and Nutrition (FACFAN), Laboratory of Natural Products and Mass Spectrometry (LaPNEM), Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul 79070-900, Brazil.ORCID https://orcid.org/0000-0003-1231-9441
Denise Brentan SilvaFaculty of Pharmaceutical Sciences, Food and Nutrition (FACFAN), Laboratory of Natural Products and Mass Spectrometry (LaPNEM), Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul 79070-900, Brazil.ORCID https://orcid.org/0000-0003-0872-2756

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The chemodiversity of plants is a valuable resource for drug discovery, and its combination with modern approaches can reduce the time consumption for bioactive metabolite discovery. This study aimed to evaluate the chemical constituents from 18 plant species of different families against leukemia cancer cells and the application of statistical analysis from metabolomic data and molecular networking for the prediction of bioactive metabolites. The samples, extracted by an accelerated solvent extractor using ethanol and water 7:3 (v/v), were analyzed by LC-DAD-MS and evaluated against leukemia cancer cells (Kasumi-1, KG-1, and K-562). Chemical data were aligned, analyzed by statistics, and applied to create the molecular network.

Identifiers

PMID40124017
PMCPMC11923848

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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.