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Insights into potential mechanisms of asthma patients with COVID-19: A study based on the gene expression profiling of bronchoalveolar lavage fluid.
Jiang, Yong; Yan, Qian; Liu, Cheng-Xin; Peng, Chen-Wen; Zheng, Wen-Jiang; Zhuang, Hong-Fa; Huang, Hui-Ting; Liu, Qiong; Liao, Hui-Li; Zhan, Shao-Feng; Liu, Xiao-Hong; Huang, Xiu-Fang.
  • Jiang Y; Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine, China. Electronic address: jiangyongszzxy@163.com.
  • Yan Q; The First Clinical Medical School of Guangzhou University of Chinese Medicine, China. Electronic address: qian.yan@stu.gzucm.edu.cn.
  • Liu CX; The First Clinical Medical School of Guangzhou University of Chinese Medicine, China. Electronic address: 20192109525@stu.gzucm.edu.cn.
  • Peng CW; The First Clinical Medical School of Guangzhou University of Chinese Medicine, China. Electronic address: 20211120548@stu.gzucm.edu.cn.
  • Zheng WJ; The First Clinical Medical School of Guangzhou University of Chinese Medicine, China. Electronic address: 20202120031@stu.gzucm.edu.cn.
  • Zhuang HF; The First Affiliated Hospital of Guangzhou University of Chinese Medicine, China. Electronic address: zhuanghongfa@163.com.
  • Huang HT; The First Affiliated Hospital of Guangzhou University of Chinese Medicine, China. Electronic address: 348619123@qq.com.
  • Liu Q; The First Affiliated Hospital of Guangzhou University of Chinese Medicine, China. Electronic address: 1423254686@qq.com.
  • Liao HL; The First Affiliated Hospital of Guangzhou University of Chinese Medicine, China. Electronic address: lilitcm@163.com.
  • Zhan SF; The First Affiliated Hospital of Guangzhou University of Chinese Medicine, China. Electronic address: zsfstone@163.com.
  • Liu XH; The First Affiliated Hospital of Guangzhou University of Chinese Medicine, China. Electronic address: rsclxhgzucm@gzucm.edu.cn.
  • Huang XF; The First Affiliated Hospital of Guangzhou University of Chinese Medicine, China. Electronic address: huangxf28@foxmail.com.
Comput Biol Med ; 146: 105601, 2022 07.
Article in English | MEDLINE | ID: covidwho-1850901
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 H2O2, 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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Asthma / COVID-19 Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Comput Biol Med Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Asthma / COVID-19 Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Comput Biol Med Year: 2022 Document Type: Article