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瑞德西韦治疗 COVID-19 相关肺纤维化的药理学靶点及验证:基于网络的药理学和生物信息学研究。

Pharmacological targets and validation of remdesivir for the treatment of COVID-19-associated pulmonary fibrosis: A network-based pharmacology and bioinformatics study.

机构信息

Department of Pharmacy, The First People's Hospital of Hangzhou Lin'an District, Hangzhou, China.

Department of Pharmacy, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Key Laboratory of Drug Clinical Risk and Personalized Medication Evaluation, Beijing, China.

出版信息

Medicine (Baltimore). 2024 Sep 27;103(39):e39062. doi: 10.1097/MD.0000000000039062.

Abstract

The objective of this study was to employ bioinformatics and network pharmacology methodologies to investigate the targets and molecular mechanisms of remdesivir in the treatment of coronavirus disease 2019 (COVID-19)-associated pulmonary fibrosis (PF). Several open-source databases were utilized to confirm the shared targets of remdesivir, COVID-19, and PF. Following this, a comprehensive analysis incorporating function enrichment, protein-protein interaction (PPI), transcription factor (TF), and molecular docking was conducted to investigate the potential mechanisms underlying the effectiveness of remdesivir in the treatment of COVID-19-associated PF. The initial validation of these findings was performed using publicly available histological and single-cell sequencing databases. The functional enrichment analysis revealed a strong association between remdesivir and viral defense, inflammatory response, and immune response. The key pathways identified in the study were transforming growth factor (TGF-β), PI3K-Akt, mTOR, MAPK, epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor resistance, HIF-1, and Toll-like receptor signaling pathways. Additionally, the PPI analysis demonstrated the network relationships of 13 important targets, while the TF analysis provided valuable insights into the regulatory networks of these targets. Among the identified TFs, RELA was found to be the most significant. To validate our findings, we utilized publicly available histological and single-cell sequencing databases, successfully confirming the involvement of 8 key targets, including AKT1, EGFR, RHOA, MAPK1, PIK3R1, MAPK8, MAPK14, and MTOR. Furthermore, molecular docking studies were conducted to assess the interaction between remdesivir and the identified key targets, thus confirming its effective targeting effects. Remdesivir has the potential to exert antiviral, anti-inflammatory, and immunomodulatory effects in the context of COVID-19-associated PF.

摘要

本研究旨在运用生物信息学和网络药理学方法探讨瑞德西韦治疗 2019 冠状病毒病(COVID-19)相关肺纤维化(PF)的作用靶点和分子机制。利用多个开源数据库证实瑞德西韦、COVID-19 和 PF 的共有靶点。在此基础上,通过功能富集、蛋白-蛋白相互作用(PPI)、转录因子(TF)和分子对接综合分析,探讨瑞德西韦治疗 COVID-19 相关 PF 的潜在机制。通过使用公共可用的组织学和单细胞测序数据库对这些发现进行初步验证。功能富集分析显示瑞德西韦与病毒防御、炎症反应和免疫反应密切相关。研究中确定的关键途径包括转化生长因子(TGF-β)、PI3K-Akt、mTOR、MAPK、表皮生长因子受体(EGFR)酪氨酸激酶抑制剂耐药、缺氧诱导因子(HIF-1)和 Toll 样受体信号通路。此外,PPI 分析显示了 13 个重要靶点的网络关系,而 TF 分析提供了这些靶点调控网络的有价值信息。在鉴定的 TF 中,RELA 被认为是最重要的。为了验证我们的发现,我们利用公共可用的组织学和单细胞测序数据库,成功证实了 8 个关键靶点的参与,包括 AKT1、EGFR、RHOA、MAPK1、PIK3R1、MAPK8、MAPK14 和 MTOR。此外,进行了分子对接研究以评估瑞德西韦与鉴定的关键靶点之间的相互作用,从而证实其有效的靶向作用。瑞德西韦在 COVID-19 相关 PF 中具有发挥抗病毒、抗炎和免疫调节作用的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d368/11441881/fa0a97d7eed6/medi-103-e39062-g001.jpg

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