Screening potential antileukemia agents from duckweed: Integration of chemical profiling, network pharmacology, and experimental validation.

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Phytochemical Analysis Pub Date : 2024-10-01 Epub Date: 2024-06-25 DOI:10.1002/pca.3407
Jing Liu, Mengjun Huang, Yan Yang, Yan Zeng, You Yang, Qulian Guo, Wenjun Liu, Ling Guo
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引用次数: 0

Abstract

Introduction: The identification of active dietary flavonoids in food is promising for novel drug discovery. The active ingredients of duckweed (a widely recognized food and herb with abundant flavonoids) that are associated with acute myeloid leukemia (AML) have yet to be identified, and their underlying mechanisms have not been elucidated.

Objectives: The objective of this study was to identify novel constituents exhibiting antileukemia activity in duckweed through the integration of chemical profiling, network pharmacology, and experimental validation.

Methods: First, high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) was used to characterize the primary constituents of duckweed. Subsequently, AML cell-xenograft tumor models were used to validate the anticancer effect of duckweed extract. Furthermore, network pharmacology analysis was conducted to predict the potential active compounds and drug targets against AML. Lastly, based on these findings, two monomers (apiin and luteoloside) were selected for experimental validation.

Results: A total of 17 compounds, all of which are apigenin and luteolin derivatives, were identified in duckweed. The duckweed extract significantly inhibited AML cell growth in vivo. Furthermore, a total of 88 targets for duckweed against AML were predicted, with key targets including PTGS2, MYC, MDM2, VEGFA, CTNNB1, CASP3, EGFR, TP53, HSP90AA1, CCND1, MMP9, TNF, and MAPK1. GO and KEGG pathway enrichment analyses indicated that these targets were primarily involved in the apoptotic signaling pathway. Lastly, both apiin and luteoloside effectively induced apoptosis through CASP3 activation, and this effect could be partially reversed by a caspase inhibitor (Z-VAD).

Conclusion: Duckweed extract has an antileukemic effect, and apiin derived from duckweed shows potential as a treatment for AML.

从浮萍中筛选潜在的抗白血病药物:整合化学分析、网络药理学和实验验证。
导言:鉴定食物中的活性膳食类黄酮对发现新药大有希望。浮萍(一种被广泛认可的含有丰富类黄酮的食物和草本植物)中与急性髓性白血病(AML)相关的活性成分尚未确定,其潜在机制也尚未阐明:本研究旨在通过整合化学图谱分析、网络药理学和实验验证,鉴定浮萍中具有抗白血病活性的新型成分:方法:首先,采用高效液相色谱-串联质谱法(HPLC-MS/MS)鉴定浮萍的主要成分。随后,利用急性髓系白血病细胞异种移植肿瘤模型验证浮萍提取物的抗癌效果。此外,还进行了网络药理学分析,以预测抗 AML 的潜在活性化合物和药物靶点。最后,根据这些研究结果,选择了两种单体(芹菜素和木犀草苷)进行实验验证:结果:在浮萍中发现了 17 种化合物,均为芹菜素和木犀草素的衍生物。浮萍提取物能明显抑制急性髓细胞白血病细胞在体内的生长。此外,还预测了浮萍对急性髓细胞性白血病的88个靶点,主要靶点包括PTGS2、MYC、MDM2、VEGFA、CTNNB1、CASP3、EGFR、TP53、HSP90AA1、CCND1、MMP9、TNF和MAPK1。GO 和 KEGG 通路富集分析表明,这些靶标主要参与凋亡信号通路。最后,芹菜苷和木犀草苷都能通过激活 CASP3 有效诱导细胞凋亡,而这种效应可被一种 Caspase 抑制剂(Z-VAD)部分逆转:结论:浮萍提取物具有抗白血病作用,从浮萍中提取的芹菜素具有治疗急性髓细胞白血病的潜力。
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来源期刊
Phytochemical Analysis
Phytochemical Analysis 生物-分析化学
CiteScore
6.00
自引率
6.10%
发文量
88
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.
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