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基于网络药理学和实验验证探索山奈酚减轻脓毒症相关急性呼吸窘迫综合征的分子机制

Exploring the Molecular Mechanism by which Kaempferol Attenuates Sepsis-related Acute Respiratory Distress Syndrome Based on Network Pharmacology and Experimental Verification.

作者信息

Ding Weichao, Huang Changbao, Chen Juan, Zhang Wei, Wang Mengmeng, Ji Xiaohang, Nie Shinan, Sun Zhaorui

机构信息

Department of Emergency Medicine, Jinling Clinical Medical College of Nanjing University of Chinese Medicine, Nanjing, 210000, China.

Department of Emergency Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210000, China.

出版信息

Curr Comput Aided Drug Des. 2025;21(2):166-178. doi: 10.2174/0115734099295805240126043059.

DOI:10.2174/0115734099295805240126043059
PMID:38321908
Abstract

BACKGROUND

Sepsis-related acute respiratory distress syndrome (ARDS) is a fatal disease without effective therapy. Kaempferol is a flavonoid compound extracted from natural plant products; it exerts numerous pharmacological effects. Kaempferol attenuates sepsis-related ARDS; however, the underlying protective mechanism has not been elucidated completely.

OBJECTIVES

This study aimed to use network pharmacology and experimental verification to investigate the mechanisms by which kaempferol attenuates sepsis-related ARDS.

METHODS

We screened the targets of kaempferol by PharMapper, Swiss Target Prediction, and CTD database. We identified the targets of sepsis-related ARDS by GeneCards, DisGeNet, OMIM, and TTD. The Weishengxin platform was used to map the targets of both kaempferol and sepsis-related ARDS. We created a Venn diagram to identify the intersection targets. We constructed the "component-intersection targets-disease" network diagram using Cytoscape 3.9.1 software. The intersection targets were imported into the STRING database for developing the protein-protein interaction network. Metascape was used for the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. We selected the leading 20 KEGG pathways to establish the KEGG relationship network. Finally, we performed experimental verification to confirm our prediction results.

RESULTS

Through database screening, we obtained 502, 360, and 78 kaempferol targets, disease targets of sepsis-related ARDS, and intersection targets, respectively. The core targets consisted of tumor necrosis factor-alpha (TNF-α), interleukin (IL)-6, albumin (ALB), IL-1β, and AKT serine/ threonine kinase (AKT)1. GO enrichment analysis identified 426 items, which were principally involved in response to lipopolysaccharide, regulation of inflammatory response, inflammatory response, positive regulation of cell migration, positive regulation of cell adhesion, positive regulation of protein phosphorylation, response to hormone, regulation of reactive oxygen species (ROS) metabolic process, negative regulation of apoptotic signaling pathway, and response to decreased oxygen levels. KEGG enrichment analysis identified 151 pathways. After eliminating the disease and generalized pathways, we obtained the hypoxia-inducible factor 1 (HIF-1), nuclear factor κB (NF-κB), and phosphoinositide 3-kinase (PI3K)-Akt signaling pathways. Our experimental verification confirmed that kaempferol blocked the HIF-1, NFκκB, and PI3K-Akt signaling pathways, diminished TNF-α, IL-1β, and IL-6 expressions, suppressed ROS production, and inhibited apoptosis in lipopolysaccharide (LPS)-induced murine alveolar macrophage (MH-S) cells.

CONCLUSION

Kaempferol can reduce inflammatory response, ROS production, and cell apoptosis by acting on the HIF-1, NF-κB, and PI3K-Akt signaling pathways, thereby alleviating sepsis- related ARDS.

摘要

背景

脓毒症相关急性呼吸窘迫综合征(ARDS)是一种缺乏有效治疗方法的致命疾病。山奈酚是一种从天然植物产品中提取的黄酮类化合物;它具有多种药理作用。山奈酚可减轻脓毒症相关ARDS;然而,其潜在的保护机制尚未完全阐明。

目的

本研究旨在利用网络药理学和实验验证来探究山奈酚减轻脓毒症相关ARDS的机制。

方法

我们通过PharMapper、Swiss Target Prediction和CTD数据库筛选山奈酚的靶点。我们通过GeneCards、DisGeNet、OMIM和TTD确定脓毒症相关ARDS的靶点。利用维生信平台映射山奈酚和脓毒症相关ARDS的靶点。我们创建了韦恩图以确定交集靶点。我们使用Cytoscape 3.9.1软件构建了“成分-交集靶点-疾病”网络图。将交集靶点导入STRING数据库以构建蛋白质-蛋白质相互作用网络。利用Metascape进行基因本体论(GO)和京都基因与基因组百科全书(KEGG)富集分析。我们选择前20条KEGG通路来建立KEGG关系网络。最后,我们进行实验验证以证实我们的预测结果。

结果

通过数据库筛选,我们分别获得了502个、360个和78个山奈酚靶点、脓毒症相关ARDS的疾病靶点和交集靶点。核心靶点包括肿瘤坏死因子-α(TNF-α)、白细胞介素(IL)-6、白蛋白(ALB)、IL-1β和AKT丝氨酸/苏氨酸激酶(AKT)1。GO富集分析确定了426个条目,主要涉及对脂多糖的反应、炎症反应调节、炎症反应、细胞迁移的正调节、细胞黏附的正调节、蛋白质磷酸化的正调节、对激素的反应、活性氧(ROS)代谢过程的调节、凋亡信号通路的负调节以及对氧水平降低的反应。KEGG富集分析确定了151条通路。在去除疾病和通用通路后,我们获得了缺氧诱导因子1(HIF-1)、核因子κB(NF-κB)和磷脂酰肌醇3-激酶(PI3K)-Akt信号通路。我们的实验验证证实,山奈酚阻断了HIF-1、NFκκB和PI3K-Akt信号通路,减少了TNF-α、IL-1β和IL-6的表达,抑制了ROS的产生,并抑制了脂多糖(LPS)诱导的小鼠肺泡巨噬细胞(MH-S)细胞的凋亡。

结论

山奈酚可通过作用于HIF-1、NF-κB和PI3K-Akt信号通路来减轻炎症反应、ROS产生和细胞凋亡,从而缓解脓毒症相关ARDS。

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