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基于 UHPLC-ESI-MS/MS 联合生物活性导向分子网络的整合策略鉴定(Vell.)I.M.C.罗德里格斯和施泰曼中抗肿瘤甾体化合物。

An Integrated Strategy of UHPLC-ESI-MS/MS Combined with Bioactivity-Based Molecular Networking for Identification of Antitumoral Withanolides from (Vell.) I.M.C. Rodrigues & Stehmann.

机构信息

Department of Natural Products, Pharmaceutical Technology Institute, Farmanguinhos, Fiocruz, Sizenando Nabuco 100 st, Manguinhos, Rio de Janeiro 21041-250, Brazil.

Department of Natural Products and Food, Faculty of Pharmacy, Center of Health Sciences (CCS), Federal University of Rio de Janeiro, Rio de Janeiro 21941-902, Brazil.

出版信息

Molecules. 2024 Sep 13;29(18):4357. doi: 10.3390/molecules29184357.

Abstract

BACKGROUND

, a Brazilian native species from the Solanaceae family, is recognized as a promising source of bioactive withanolides, particularly Aurelianolide A and B, which exhibit significant antitumoral activities. Despite its potential, research on the chemical constituents of this species remains limited. This study aimed to dereplicate extracts and partitions of to streamline the discovery of bioactive withanolides.

METHODS

Using ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS), various extracts-including -hexane, methanol, and ethanol-were analyzed, and their mass spectrometry data were processed through the GNPS platform for the generation of molecular networking. The results indicated that crude extracts displayed comparable cytotoxicity against Jurkat cells, by treatment at 150 µg/mL, while alcoholic extracts achieved approximately 80% inhibition of K562 cells and K562-Lucena 1 at the same concentration. Notably, the dichloromethane partition exhibited the highest cytotoxicity across leukemia cell lines, particularly against Jurkat cells (IC = 14.34 µg/mL). A total of 22 compounds were annotated by manual inspection and different libraries, with six of them demonstrating significant cytotoxic effects.

CONCLUSIONS

This research underscores the therapeutic potential of and highlights the effectiveness of integrating advanced analytical methods in drug discovery, paving the way for further exploration of its bioactive compounds.

摘要

背景

巴西土生土长的茄科植物 ,被认为是具有生物活性的潜在来源,特别是 Aurelianolide A 和 B,具有显著的抗肿瘤活性。尽管有这种潜力,但对该物种的化学成分研究仍然有限。本研究旨在对 进行提取物的去重复和分配,以简化生物活性的发现。

方法

采用超高效液相色谱-串联质谱法(UHPLC-MS/MS)分析了包括正己烷、甲醇和乙醇在内的各种提取物,并通过 GNPS 平台对其质谱数据进行处理,生成分子网络。结果表明,粗提物在 150μg/mL 时对 Jurkat 细胞表现出相当的细胞毒性,而醇提物在相同浓度下对 K562 细胞和 K562-Lucena 1 的抑制率约为 80%。值得注意的是,二氯甲烷分配物在白血病细胞系中表现出最高的细胞毒性,特别是对 Jurkat 细胞(IC=14.34μg/mL)。通过手动检查和不同的库总共注释了 22 种化合物,其中 6 种表现出显著的细胞毒性。

结论

本研究强调了 的治疗潜力,并突出了将先进分析方法整合到药物发现中的有效性,为进一步探索其生物活性化合物铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30c2/11434275/beaaf0e5f289/molecules-29-04357-g003.jpg

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