4.5 Article

Severe acute respiratory syndrome coronavirus (BARS-CoV)-2 infection induces dysregulation of immunity: in silico gene expression analysis

期刊

INTERNATIONAL JOURNAL OF MEDICAL SCIENCES
卷 18, 期 5, 页码 1143-1152

出版社

IVYSPRING INT PUBL
DOI: 10.7150/ijms.52256

关键词

coronavirus; SARS-CoV-2; COVID-19; interferon; immune system

资金

  1. Ministry of Science and Technology (MOST) of Taiwan [MOST1092320-B-038-009-MY2]
  2. Kaohsiung Medical University Hospital [KMUH108-8R72]
  3. Taipei Medical University [TMU-108-AE1-B16]
  4. National Center for High-performance Computing in Taiwan [GOV109116, TRI1091523]
  5. Higher Education Sprout Project, Ministry of Education

向作者/读者索取更多资源

This study utilized a holistic bioinformatics approach to explore gene signature alterations in SARS-CoV-2-infected lung epithelial cells, identifying enrichment of genes associated with immune-related pathways, host cell responses, steroid hormone biosynthesis, receptor signaling, and the complement system. Dysregulation of the immune system and interferon malfunction contribute to the failure to eliminate SARS-CoV-2 and worsen respiratory distress in severely ill patients, highlighting the importance of understanding the genetic targets for this infection.
Highly pathogenic coronaviruses (CoVs) induce acute respiratory distress syndrome, and the severe acute respiratory syndrome coronavirus (SARS-CoV)-2 has caused a pandemic since late 2019. The diversity of clinical manifestations after SARS-CoV-2 infection results in great challenges to diagnose CoV disease 2019 (COVID-19). There is a growing body of published research on this topic; however, effective medications are still undergoing a long process of being assessed. In the search for potential genetic targets for this infection, we applied a holistic bioinformatics approach to study alterations of gene signatures between SARS-CoV-2-infected cells and mock-infected controls. Two different kinds of lung epithelial cells, A549 with angiotensin-converting enzyme 2 (ACE2) overexpression and normal human bronchial epithelial (NHBE) cells, were infected with SARS-CoV-2. We performed bioinformatics analyses of RNA-sequencing in this study. Through a Venn diagram, Database for Annotation, Visualization and Integrated Discovery, Gene Ontology, Ingenuity Pathway Analysis, and Gene Set Enrichment Analysis, the pathways and networks were constructed from commonly upregulated genes in SARS-CoV-2-infected lung epithelial cells. Genes associated with immune-related pathways, responses of host cells after intracellular infection, steroid hormone biosynthesis, receptor signaling, and the complement system were enriched. Dysregulation of the immune system and malfunction of interferon contribute to a failure to kill SARS-CoV-2 and exacerbate respiratory distress in severely ill patients. Current findings from this study provide a comprehensive investigation of SARS-CoV-2 infection using high-throughput technology.

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