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抗癌药物再利用治疗中度和重度 COVID 感染:基于网络的系统生物学方法。

Repurposing of Anti-Cancer Drugs Against Moderate and Severe COVID Infection: A Network-Based Systems Biological Approach.

机构信息

Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, Taif, Saudi Arabia.

出版信息

Niger J Clin Pract. 2024 Aug 1;27(8):950-957. doi: 10.4103/njcp.njcp_873_23. Epub 2024 Aug 26.

Abstract

BACKGROUND

The COVID-19 pandemic caused by SARS-CoV-2 is an unparalleled health risk, needing fast antiviral medication development. One of the most effective strategies for developing therapies against novel and emerging viruses is drug repurposing. Recently, systems biology approaches toward the discovery of repurposing medications are gaining prominence.

AIM

This study aimed to implement a systems biology approach to identify crucial drug targets as well as potential drug candidates against COVID infection.

METHODS

Our approach utilizes differential gene expression in COVID conditions that enable the construction of a protein-protein interaction (PPI) network. Core clusters were extracted from this network, followed by molecular enrichment analysis. This process identified critical drug targets and potential drug candidates targeting various stages of COVID-19 infection.

RESULTS

The network was built using the top 200 differently expressed genes in mild, moderate, and severe COVID-19 infections. Top 3 clusters for each disease condition were identified, representing the core mechanism of the network. Molecular enrichment revealed the majority of the pathways in the mild state were associated with transcription regulation, protein folding, angiogenesis, and cytokine-signaling pathways. Whereas, the enriched pathways in moderate and severe disease states were predominately linked with the immune system and apoptotic processes, which include NF-kappaB signaling, cytokine signaling, TNF-mediated signaling, and oxidative stress-induced cell death. Further analysis identifies 28 potential drugs that can be repurposed to treat moderate and severe COVID-19, most of which are currently used in cancer treatment.

CONCLUSION

Interestingly, some of the proposed drugs have demonstrated inhibitory effects against SARS-CoV-2, as supported by literature evidence. Overall, the drug repurposing method described here will help develop potential antiviral medications to treat emerging COVID strains.

摘要

背景

由 SARS-CoV-2 引起的 COVID-19 大流行是一种前所未有的健康风险,需要快速开发抗病毒药物。针对新型和新兴病毒开发疗法的最有效策略之一是药物再利用。最近,系统生物学方法在发现再利用药物方面越来越受到重视。

目的

本研究旨在实施系统生物学方法,以确定对抗 COVID 感染的关键药物靶点和潜在药物候选物。

方法

我们的方法利用 COVID 条件下的差异基因表达来构建蛋白质-蛋白质相互作用(PPI)网络。从该网络中提取核心簇,然后进行分子富集分析。该过程确定了针对 COVID-19 感染各个阶段的关键药物靶点和潜在药物候选物。

结果

该网络是使用轻度、中度和重度 COVID-19 感染中差异表达的前 200 个基因构建的。针对每种疾病情况确定了前 3 个簇,代表了网络的核心机制。分子富集显示,轻度状态下的大多数途径与转录调节、蛋白质折叠、血管生成和细胞因子信号通路有关。而中度和重度疾病状态下富集的途径主要与免疫系统和细胞凋亡过程有关,包括 NF-kappaB 信号、细胞因子信号、TNF 介导的信号和氧化应激诱导的细胞死亡。进一步分析确定了 28 种可用于治疗中度和重度 COVID-19 的潜在再利用药物,其中大多数目前用于癌症治疗。

结论

有趣的是,一些提出的药物已被证明对 SARS-CoV-2 具有抑制作用,这得到了文献证据的支持。总的来说,这里描述的药物再利用方法将有助于开发潜在的抗病毒药物来治疗新兴的 COVID 株。

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