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燕麦源代谢物与肠道微生物群改善非酒精性脂肪肝病的汇聚应用:网络药理学研究。

The convergent application of metabolites from Avena sativa and gut microbiota to ameliorate non-alcoholic fatty liver disease: a network pharmacology study.

机构信息

Institute for Liver and Digestive Diseases, College of Medicine, Hallym University, Chuncheon, 24252, Korea.

出版信息

J Transl Med. 2023 Apr 17;21(1):263. doi: 10.1186/s12967-023-04122-6.

Abstract

BACKGROUND

Non-alcoholic fatty liver disease (NAFLD) is a serious public health issue globally, currently, the treatment of NAFLD lies still in the labyrinth. In the inchoate stage, the combinatorial application of food regimen and favorable gut microbiota (GM) are considered as an alternative therapeutic. Accordingly, we integrated secondary metabolites (SMs) from GM and Avena sativa (AS) known as potent dietary grain to identify the combinatorial efficacy through network pharmacology.

METHODS

We browsed the SMs of AS via Natural Product Activity & Species Source (NPASS) database and SMs of GM were retrieved by gutMGene database. Then, specific intersecting targets were identified from targets related to SMs of AS and GM. The final targets were selected on NAFLD-related targets, which was considered as crucial targets. The protein-protein interaction (PPI) networks and bubble chart analysis to identify a hub target and a key signaling pathway were conducted, respectively. In parallel, we analyzed the relationship of GM or AS─a key signaling pathway─targets─SMs (GASTM) by merging the five components via RPackage. We identified key SMs on a key signaling pathway via molecular docking assay (MDA). Finally, the identified key SMs were verified the physicochemical properties and toxicity in silico platform.

RESULTS

The final 16 targets were regarded as critical proteins against NAFLD, and Vascular Endothelial Growth Factor A (VEGFA) was a key target in PPI network analysis. The PI3K-Akt signaling pathway was the uppermost mechanism associated with VEGFA as an antagonistic mode. GASTM networks represented 122 nodes (60 GM, AS, PI3K-Akt signaling pathway, 4 targets, and 56 SMs) and 154 edges. The VEGFA-myricetin, or quercetin, GSK3B-myricetin, IL2-diosgenin complexes formed the most stable conformation, the three ligands were derived from GM. Conversely, NR4A1-vestitol formed stable conformation with the highest affinity, and the vestitol was obtained from AS. The given four SMs were no hurdles to develop into drugs devoid of its toxicity.

CONCLUSION

In conclusion, we show that combinatorial application of AS and GM might be exerted to the potent synergistic effects against NAFLD, dampening PI3K-Akt signaling pathway. This work provides the importance of dietary strategy and beneficial GM on NAFLD, a data mining basis for further explicating the SMs and pharmacological mechanisms of combinatorial application (AS and GM) against NAFLD.

摘要

背景

非酒精性脂肪性肝病(NAFLD)是一个严重的全球公共卫生问题,目前,NAFLD 的治疗仍处于探索阶段。在早期阶段,饮食和有益的肠道微生物群(GM)的联合应用被认为是一种替代治疗方法。因此,我们整合了 GM 和燕麦(AS)的次生代谢物(SMs),因为它们是有效的饮食谷物,通过网络药理学来确定联合疗效。

方法

我们通过天然产物活性和物种源(NPASS)数据库浏览 AS 的 SMs,通过 gutMGene 数据库检索 GM 的 SMs。然后,从 AS 和 GM 的 SMs 相关靶点中确定特定的交集靶点。最后,根据 NAFLD 相关靶点选择最终靶点,这些靶点被认为是关键靶点。通过蛋白质-蛋白质相互作用(PPI)网络和气泡图分析,分别确定一个枢纽靶点和一个关键信号通路。同时,我们通过 RPackage 将五个组件合并,分析 GM 或 AS-关键信号通路-靶点-SMs(GASTM)的关系。通过分子对接试验(MDA)确定关键信号通路上的关键 SMs。最后,通过体内外计算平台验证了鉴定出的关键 SMs 的理化性质和毒性。

结果

最终确定了 16 个关键靶点作为治疗 NAFLD 的关键蛋白,其中血管内皮生长因子 A(VEGFA)是 PPI 网络分析中的关键靶点。PI3K-Akt 信号通路是与 VEGFA 拮抗作用最相关的机制。GASTM 网络包含 122 个节点(60 个 GM、AS、PI3K-Akt 信号通路、4 个靶点和 56 个 SMs)和 154 个边。VEGFA-杨梅素或槲皮素、GSK3B-薯蓣皂苷元、IL2-薯蓣皂苷复合物形成最稳定的构象,这三个配体均来自 GM。相反,NR4A1-缬草酸与 vestitol 形成稳定的构象,且亲和力最高,vestitol 则来自 AS。这四种给定的 SMs 没有障碍,可以开发成没有毒性的药物。

结论

总之,我们表明 AS 和 GM 的联合应用可能对 NAFLD 产生强大的协同作用,抑制 PI3K-Akt 信号通路。这项工作为饮食策略和有益的 GM 对 NAFLD 的重要性提供了数据支持,为进一步阐明 AS 和 GM 联合应用(AS 和 GM)治疗 NAFLD 的 SMs 和药理机制提供了数据挖掘基础。

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