单细胞基因调控网络分析揭示抗疟药物对SARS-CoV-2的潜在作用机制

James J. Cai, Daniel Osório
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引用次数: 1

摘要

抗疟药氯喹(CQ)和羟氯喹(HCQ)在预防和治疗2019冠状病毒病(COVID-19)方面的效率存在激烈争论。抗疟药物抗严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)的作用机制尚未完全阐明。在这里,我们应用基于网络的比较分析,在我们的机器学习工作流程- sctenifoldnet中实现,对来自不同严重程度的COVID-19患者的scRNA-seq数据进行了分析。我们发现,在中度和重度症状患者中,巨噬细胞中表达的疟疾途径基因有显著差异。我们的研究结果有助于揭示CQ和HCQ在SARS-CoV-2感染期间的作用机制,为支持使用这些抗疟药物治疗COVID-19,特别是对轻度感染或感染早期的患者提供新的证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Single-Cell Gene Regulatory Network Analysis Reveals Potential Mechanisms of Action of Antimalarials Against SARS-CoV-2
The efficiency of antimalarials, chloroquine (CQ) and hydroxychloroquine (HCQ), in the prevention and treatment of coronavirus disease 2019 (COVID-19) is under intense debate. The mechanisms of action of antimalarials against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have not been fully elucidated. Here, we applied a network-based comparative analysis, implemented in our machine learning workflow—scTenifoldNet, to scRNA-seq data from COVID-19 patients with different levels of severity. We found that genes of the Malaria pathway expressed in macrophages are significantly differentially regulated between patients with moderate and severe symptoms. Our findings help reveal the mechanisms of action of CQ and HCQ during SARS-CoV-2 infection, providing new evidence to support the use of these antimalarial drugs in the treatment of COVID-19, especially for patients who are mildly affected or in the early stage of the infection.
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