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基于代谢组学和网络药理学鉴定滇黄精变种大叶黄精根茎中的酚酸作为抗癌/肿瘤活性成分

Metabolomics and network pharmacology-based identification of phenolic acids in Polygonatum kingianum var. grandifolium rhizomes as anti-cancer/Tumor active ingredients.

作者信息

Wan Xiaolin, Cui Lingjun, Xiao Qiang

机构信息

Hubei Key Laboratory of Biological Resources Protection and Utilization (Hubei Minzu University), Enshi, China.

出版信息

PLoS One. 2024 Dec 17;19(12):e0315857. doi: 10.1371/journal.pone.0315857. eCollection 2024.

Abstract

Broadly targeted metabolomics techniques were used to identify phenolic acid compounds in Polygonatum kingianum var. grandifolium (PKVG) rhizomes and retrieve anti-cancer/tumor active substance bases from them. We identified potential drug targets by constructing Venn diagrams of compound and disease targets. Further, KEGG pathway analysis was performed to reveal the relevant pathways for anti-cancer/tumor activity of PKVG. Finally, we performed molecular docking to determine whether the identified proteins were targets of phenolic acid compounds from PKVG rhizome parts. The study's results revealed 71 phenolic acid compounds in PKVG rhizomes. Among them, three active ingredients and 42 corresponding targets were closely related to the anticancer/tumor activities of PKVG rhizome site phenolic acids. We identified two essential compounds and eight important targets by constructing the compound-target pathway network. 2 essential compounds were androsin and chlorogenic acid; 8 key targets were MAPK1, EGFR, PRKCA, MAPK10, GSK3B, CASP3, CASP8, and MMP9. The analysis of the KEGG pathway identified 42 anti-cancer/tumor-related pathways. In order of degree, we performed molecular docking on two essential compounds and the top 4 targets, MAPK1, EGFR, PRKCA, and MAPK10, to further validate the network pharmacology screening results. The molecular docking results were consistent with the network pharmacology results. Therefore, we suggest that the phenolic acids in PKVG rhizomes may exert anti-cancer/tumor activity through a multi-component, multi-target, and multi-channel mechanism of action.

摘要

采用广泛靶向代谢组学技术鉴定滇黄精(Polygonatum kingianum var. grandifolium,PKVG)根茎中的酚酸类化合物,并从中筛选出抗癌/抗肿瘤活性物质基础。通过构建化合物与疾病靶点的韦恩图来确定潜在的药物靶点。此外,进行KEGG通路分析以揭示PKVG抗癌/抗肿瘤活性的相关通路。最后,进行分子对接以确定所鉴定的蛋白质是否为PKVG根茎部位酚酸类化合物的靶点。研究结果显示,PKVG根茎中含有71种酚酸类化合物。其中,三种活性成分和42个相应靶点与PKVG根茎部位酚酸的抗癌/抗肿瘤活性密切相关。通过构建化合物-靶点-通路网络,确定了两种关键化合物和八个重要靶点。两种关键化合物为雄麻素和绿原酸;八个关键靶点为MAPK1、EGFR、PRKCA、MAPK10、GSK3B、CASP3、CASP8和MMP9。KEGG通路分析确定了42条抗癌/抗肿瘤相关通路。按照关联度顺序,对两种关键化合物和前四个靶点MAPK1、EGFR、PRKCA和MAPK10进行分子对接,以进一步验证网络药理学筛选结果。分子对接结果与网络药理学结果一致。因此,我们认为PKVG根茎中的酚酸可能通过多成分、多靶点和多通道作用机制发挥抗癌/抗肿瘤活性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a43e/11651577/4005340ee7fd/pone.0315857.g001.jpg

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