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利用综合生物信息学分析鉴定 ACHE 为与非小细胞肺癌(NSCLC)相关的龙葵素作用靶点的枢纽基因。

Identification of ACHE as the hub gene targeting solasonine associated with non-small cell lung cancer (NSCLC) using integrated bioinformatics analysis.

机构信息

Anhui University of Chinese Medicine, Hefei, Anhui, China.

Key Laboratory of Xin'An Medicine, Ministry of Education, Hefei, Anhui, China.

出版信息

PeerJ. 2023 Oct 10;11:e16195. doi: 10.7717/peerj.16195. eCollection 2023.

Abstract

BACKGROUND

Solasonine, as a major biological component of L., has demonstrated anticancer effects against several malignancies. However, little is understood regarding its biological target and mechanism in non-small cell lung cancer (NSCLC).

METHODS

We conducted an analysis on transcriptomic data to identify differentially expressed genes (DEGs), and employed an artificial intelligence (AI) strategy to predict the target protein for solasonine. Subsequently, genetic dependency analysis and molecular docking were performed, with Acetylcholinesterase (ACHE) selected as a pivotal marker for solasonine. We then employed a range of bioinformatic approaches to explore the relationship between ACHE and solasonine. Furthermore, we investigated the impact of solasonine on A549 cells, a human lung cancer cell line. Cell inhibition of A549 cells following solasonine treatment was analyzed using the CCK8 assay. Additionally, we assessed the protein expression of ACHE, as well as markers associated with apoptosis and inflammation, using western blotting. To investigate their functions, we employed a plasmid-based ACHE overexpression system. Finally, we performed dynamics simulations to simulate the interaction mode between solasonine and ACHE.

RESULTS

The results of the genetic dependency analysis revealed that ACHE could be identified as the pivotal target with the highest docking affinity. The cell experiments yielded significant findings, as evidenced by the negative regulatory effect of solasonine treatment on tumor cells, as demonstrated by the CCK8 assay. Western blotting analysis revealed that solasonine treatment resulted in the downregulation of the Bcl-2/Bax ratio and upregulation of cleaved caspase-3 protein expression levels. Moreover, we observed that ACHE overexpression promoted the expression of the Bcl-2/Bax ratio and decreased cleaved caspase-3 expression in the OE-ACHE group. Notably, solasonine treatment rescued the Bcl-2/Bax ratio and cleaved caspase-3 expression in OE-ACHE cells compared to OE-ACHE cells without solasonine treatment, suggesting that solasonine induces apoptosis. Besides, solasonine exhibited its anti-inflammatory effects by inhibiting P38 MAPK. This was supported by the decline in protein levels of IL-1β and TNF-α, as well as the phosphorylated forms of JNK and P38 MAPK. The results from the molecular docking and dynamics simulations further confirmed the potent binding affinity and effective inhibitory action between solasonine and ACHE.

CONCLUSIONS

The findings of the current investigation show that solasonine exerts its pro-apoptosis and anti-inflammatory effects by suppressing the expression of ACHE.

摘要

背景

龙葵碱作为龙葵的主要生物成分,已被证明对多种恶性肿瘤具有抗癌作用。然而,关于其在非小细胞肺癌(NSCLC)中的生物靶标和机制知之甚少。

方法

我们对转录组数据进行了分析,以鉴定差异表达基因(DEGs),并采用人工智能(AI)策略预测龙葵碱的靶蛋白。随后,进行了遗传依赖性分析和分子对接,选择乙酰胆碱酯酶(ACHE)作为龙葵碱的关键标志物。然后,我们采用了一系列生物信息学方法来探索 ACHE 与龙葵碱之间的关系。此外,我们研究了龙葵碱对 A549 细胞(人肺癌细胞系)的影响。使用 CCK8 测定法分析龙葵碱处理后 A549 细胞的抑制作用。此外,我们还使用蛋白质印迹法评估了 ACHE 以及与凋亡和炎症相关的标志物的蛋白表达。为了研究它们的功能,我们采用了基于质粒的 ACHE 过表达系统。最后,我们进行了动力学模拟以模拟龙葵碱与 ACHE 之间的相互作用模式。

结果

遗传依赖性分析的结果表明,ACHE 可被鉴定为具有最高对接亲和力的关键靶标。细胞实验产生了重要的发现,CCK8 测定法证明龙葵碱处理对肿瘤细胞具有负调节作用。蛋白质印迹分析表明,龙葵碱处理导致 Bcl-2/Bax 比值下调和 cleaved caspase-3 蛋白表达水平上调。此外,我们观察到 ACHE 过表达促进了 OE-ACHE 组中 Bcl-2/Bax 比值的表达,并降低了 cleaved caspase-3 的表达。值得注意的是,与未用龙葵碱处理的 OE-ACHE 细胞相比,龙葵碱处理可挽救 OE-ACHE 细胞中 Bcl-2/Bax 比值和 cleaved caspase-3 的表达,表明龙葵碱诱导凋亡。此外,龙葵碱通过抑制 P38 MAPK 发挥其抗炎作用。这得到了 IL-1β 和 TNF-α 蛋白水平下降以及 JNK 和 P38 MAPK 磷酸化形式的支持。分子对接和动力学模拟的结果进一步证实了龙葵碱与 ACHE 之间强大的结合亲和力和有效的抑制作用。

结论

本研究结果表明,龙葵碱通过抑制 ACHE 的表达发挥促凋亡和抗炎作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f95/10573390/3f36d1103a3b/peerj-11-16195-g001.jpg

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