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COVID-19 合并哮喘患者潜在机制的研究进展:基于支气管肺泡灌洗液基因表达谱的研究。

Insights into potential mechanisms of asthma patients with COVID-19: A study based on the gene expression profiling of bronchoalveolar lavage fluid.

机构信息

Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine, China.

The First Clinical Medical School of Guangzhou University of Chinese Medicine, China.

出版信息

Comput Biol Med. 2022 Jul;146:105601. doi: 10.1016/j.compbiomed.2022.105601. Epub 2022 May 19.

Abstract

BACKGROUND

The 2019 novel coronavirus disease (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is currently a major challenge threatening the global healthcare system. Respiratory virus infection is the most common cause of asthma attacks, and thus COVID-19 may contribute to an increase in asthma exacerbations. However, the mechanisms of COVID-19/asthma comorbidity remain unclear.

METHODS

The "Limma" package or "DESeq2" package was used to screen differentially expressed genes (DEGs). Alveolar lavage fluid datasets of COVID-19 and asthma were obtained from the GEO and GSV database. A series of analyses of common host factors for COVID-19 and asthma were conducted, including PPI network construction, module analysis, enrichment analysis, inference of the upstream pathway activity of host factors, tissue-specific analysis and drug candidate prediction. Finally, the key host factors were verified in the GSE152418 and GSE164805 datasets.

RESULTS

192 overlapping host factors were obtained by analyzing the intersection of asthma and COVID-19. FN1, UBA52, EEF1A1, ITGB1, XPO1, NPM1, EGR1, EIF4E, SRSF1, CCR5, PXN, IRF8 and DDX5 as host factors were tightly connected in the PPI network. Module analysis identified five modules with different biological functions and pathways. According to the degree values ranking in the PPI network, EEF1A1, EGR1, UBA52, DDX5 and IRF8 were considered as the key cohost factors for COVID-19 and asthma. The HO, VEGF, IL-1 and Wnt signaling pathways had the strongest activities in the upstream pathways. Tissue-specific enrichment analysis revealed the different expression levels of the five critical host factors. LY294002, wortmannin, PD98059 and heparin might have great potential to evolve into therapeutic drugs for COVID-19 and asthma comorbidity. Finally, the validation dataset confirmed that the expression of five key host factors were statistically significant among COVID-19 groups with different severity and healthy control subjects.

CONCLUSIONS

This study constructed a network of common host factors between asthma and COVID-19 and predicted several drugs with therapeutic potential. Therefore, this study is likely to provide a reference for the management and treatment for COVID-19/asthma comorbidity.

摘要

背景

由严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)引起的 2019 年新型冠状病毒病(COVID-19)目前是威胁全球医疗保健系统的主要挑战。呼吸道病毒感染是哮喘发作的最常见原因,因此 COVID-19 可能导致哮喘恶化增加。然而,COVID-19 和哮喘合并症的机制尚不清楚。

方法

使用“Limma”或“DESeq2”软件包筛选差异表达基因(DEGs)。从 GEO 和 GSV 数据库中获取 COVID-19 和哮喘的肺泡灌洗液数据集。对 COVID-19 和哮喘的共同宿主因素进行了一系列分析,包括 PPI 网络构建、模块分析、富集分析、宿主因子上游通路活性推断、组织特异性分析和药物候选物预测。最后,在 GSE152418 和 GSE164805 数据集验证了关键宿主因子。

结果

通过分析哮喘和 COVID-19 的交集,获得了 192 个重叠的宿主因子。FN1、UBA52、EEF1A1、ITGB1、XPO1、NPM1、EGR1、EIF4E、SRSF1、CCR5、PXN、IRF8 和 DDX5 作为宿主因子在 PPI 网络中紧密连接。模块分析确定了五个具有不同生物学功能和途径的模块。根据 PPI 网络中的度值排序,EEF1A1、EGR1、UBA52、DDX5 和 IRF8 被认为是 COVID-19 和哮喘的关键共同宿主因子。HO、VEGF、IL-1 和 Wnt 信号通路在上游通路中具有最强的活性。组织特异性富集分析显示了五个关键宿主因子的不同表达水平。LY294002、wortmannin、PD98059 和肝素可能具有很大的潜力发展成为 COVID-19 和哮喘合并症的治疗药物。最后,验证数据集证实,在严重程度不同的 COVID-19 组和健康对照组中,五个关键宿主因子的表达均具有统计学意义。

结论

本研究构建了哮喘和 COVID-19 之间共同宿主因子的网络,并预测了几种具有治疗潜力的药物。因此,本研究可能为 COVID-19/哮喘合并症的管理和治疗提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e21/9117163/a42c5adb3488/gr1_lrg.jpg

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