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Metabolite profiling of ascidian Styela plicata using LC–MS with multivariate statistical analysis and their antitumor activity

机译:使用LC-MS进行多元统计分析的海藻Styela plicata代谢物谱及其抗肿瘤活性

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摘要

To identify the metabolite distribution in ascidian, we have applied an integrated liquid chromatography– tandem mass spectrometry (LC–MS) metabolomics approach to explore and identify patterns in chemical diversity of invasive ascidian Styela plicata. A total of 71 metabolites were reported among these alkaloids, fatty acids and lipids are the most dominant chemical group. Multivariate statistical analysis, principal component analysis (PCA) showed a clear separation according to chemical diversity and taxonomic groups. PCA and partial least square discriminant analysis were applied to discriminate the chemical group of S. plicata crude compounds and classify the compounds with unknown biological activities. In this study, we reported for the first time that a partially purified methanol extract prepared from the ascidian S. plicata and Ascidia mentula possess antitumor activity against four tumor cell lines with different tumor histotype, such as HeLa (cervical carcinoma), HT29 (colon carcinoma), MCF-7 (breast carcinoma) and M14 (melanoma). S. plicata fraction SP-50 showed strong inhibition of cell proliferation and induced apoptosis in HeLa and HT29 cells, thus indicating S. plicata fraction SP-50 a potential lead compound for anticancer therapy. The molecular mechanism of action and chemotherapeutic potential of these ascidian unknown biomolecules need further research.
机译:为了鉴定海藻中的代谢物分布,我们采用了集成液相色谱-串联质谱(LC-MS)代谢组学方法来探索和鉴定入侵性海豚Styela plicata的化学多样性模式。在这些生物碱中,总共报告了71种代谢物,其中脂肪酸和脂质是最主要的化学组。多元统计分析,主成分分析(PCA)根据化学多样性和分类学类别显示出清晰的分离。应用PCA和偏最小二乘判别分析法来鉴别S. plicata粗化合物的化学基团,并对具有未知生物活性的化合物进行分类。在这项研究中,我们首次报道了从海带子S. plicata和海带子Amentia制备的部分纯化的甲醇提取物对四种具有不同肿瘤组织类型的肿瘤细胞系(例如HeLa(宫颈癌),HT29(结肠))具有抗肿瘤活性。癌),MCF-7(乳腺癌)和M14(黑色素瘤)。褶皱葡萄球菌级分SP-50在HeLa和HT29细胞中显示出对细胞增殖的强烈抑制作用,并诱导了细胞凋亡,因此表明褶皱葡萄球菌级分SP-50是抗癌治疗的潜在先导化合物。这些海鞘未知生物分子的分子作用机理和化学治疗潜力有待进一步研究。

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