Untargeted Characterization and Biological Activity of Amazonian Aqueous Stem Bark Extracts by Liquid and Gas Chromatography-Mass Spectrometry.

IF 3 3区生物学 Q2 BIOCHEMICAL RESEARCH METHODS

Phytochemical Analysis Pub Date : 2025-01-14 DOI:10.1002/pca.3500

Jefferson V Pastuña-Fasso, Nina Espinosa de Los Monteros-Silva, Cristian Daniel Quiroz-Moreno, Evencio Joel Medina-Villamizar, Gabriela Sosa-Pozo, Pablo A Cisneros-Pérez, Carolina Proaño-Bolaños, Matteo Radice, Zulay Niño-Ruíz, Noroska G S Mogollón

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引用次数: 0

Abstract

Introduction: Aqueous stem bark extracts of Aspidosperma rigidum Rusby, Couroupita guianensis Aubl., Monteverdia laevis (Reissek) Biral, and Protium sagotianum Marchand have been reported as traditional remedies in several countries of the Amazonian region. Despite previous research, further investigation to characterize secondary metabolites and the biological activity of extracts is needed to derive potential applications.

Material and methods: Metabolic profiling was carried out using liquid and gas chromatography coupled with mass spectrometry (UHPLC-MS/MS and GC-MS). The chemical composition of the studied plants was further compared by principal component analysis (PCA). Additionally, chemical profiles were correlated with antimicrobial and toxicity activities, which suggested potential metabolites for future research.

Results: We identified 16 and 32 compounds by UHPLC-MS/MS and GC-MS analysis, respectively. Antimicrobial activity was detected in three stem bark extracts. C. guianensis showed inhibition of all tested microorganisms, including antibiotic-resistant strains. Molecular networking approaches, in silico tools, and Pearson's correlation showed that antifungal compounds could be a terpene glycoside (r = 0.918) and/or a phenolic (r = 0.882) metabolite class.

Conclusion: This study highlights the use of the established procedure in exploring the metabolomes of these species, which could be a novel source of antimicrobial drug discovery. Coupling the observed biological potential with UHPLC-MS/MS data has also accelerated the tracing of their bioactive compounds. These findings update the state of the art regarding the chemical composition and biological activity of the plant extracts, defining potential new applications for the pharmaceutical applications.

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用液相和气相色谱-质谱联用技术对亚马逊水茎树皮提取物进行非靶向鉴定和生物活性研究。

简介：Aspidosperma rigidum Rusby、Couroupita guianensis Aubl.、Monteverdia laevis (Reissek) Biral和Protium sagotianum Marchand的茎皮水提取物已被报道为亚马逊地区多个国家的传统疗法。尽管之前已有研究，但仍需进一步调查次生代谢物的特征和提取物的生物活性，以获得潜在的应用：使用液相和气相色谱-质谱联用仪（UHPLC-MS/MS 和 GC-MS）进行了代谢分析。通过主成分分析（PCA）进一步比较了所研究植物的化学成分。此外，化学成分还与抗菌和毒性活性相关，这为今后的研究提供了潜在的代谢物：结果：通过超高效液相色谱-质谱/质谱和气相色谱-质谱分析，我们分别鉴定出 16 种和 32 种化合物。在三种茎皮提取物中检测到了抗菌活性。C. guianensis对所有测试微生物都有抑制作用，包括抗生素耐药菌株。分子网络方法、硅学工具和皮尔逊相关性表明，抗真菌化合物可能是萜烯苷类（r = 0.918）和/或酚类（r = 0.882）代谢物：本研究强调了使用既定程序探索这些物种代谢组的重要性，这可能是发现抗菌药物的新来源。将观察到的生物潜力与超高效液相色谱-质谱/质谱数据相结合，也加快了对其生物活性化合物的追踪。这些发现更新了有关植物提取物的化学成分和生物活性的最新技术水平，确定了潜在的新医药应用领域。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Phytochemical Analysis 生物-分析化学

CiteScore

6.00

自引率

6.10%

发文量

审稿时长

1.7 months

期刊介绍： Phytochemical Analysis is devoted to the publication of original articles concerning the development, improvement, validation and/or extension of application of analytical methodology in the plant sciences. The spectrum of coverage is broad, encompassing methods and techniques relevant to the detection (including bio-screening), extraction, separation, purification, identification and quantification of compounds in plant biochemistry, plant cellular and molecular biology, plant biotechnology, the food sciences, agriculture and horticulture. The Journal publishes papers describing significant novelty in the analysis of whole plants (including algae), plant cells, tissues and organs, plant-derived extracts and plant products (including those which have been partially or completely refined for use in the food, agrochemical, pharmaceutical and related industries). All forms of physical, chemical, biochemical, spectroscopic, radiometric, electrometric, chromatographic, metabolomic and chemometric investigations of plant products (monomeric species as well as polymeric molecules such as nucleic acids, proteins, lipids and carbohydrates) are included within the remit of the Journal. Papers dealing with novel methods relating to areas such as data handling/ data mining in plant sciences will also be welcomed.