Comprehensive bioinformatics analysis and systems biology approaches to identify the interplay between COVID-19 and

Daisong Li1, Ruolan Chen1, Chao Huang1

  • 1Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao, China.

PubMed

Insights

This study identified common genes and molecular mechanisms linking coronavirus disease 2019 (COVID-19) and pericarditis. Eight key genes were highlighted, offering new research avenues for understanding COVID-19 associated pericarditis.

Area of Science:

  • Immunology
  • Genetics
  • Computational Biology

Background:

  • Growing evidence links coronavirus disease 2019 (COVID-19) to increased risks of pericarditis.
  • The underlying molecular mechanisms connecting COVID-19 and pericarditis remain largely unknown.
  • Investigating the genetic basis is crucial for understanding this association.

Purpose of the Study:

  • To elucidate the molecular mechanisms of COVID-19 associated pericarditis at the gene level.
  • To identify common genes and pathways involved in both conditions.
  • To utilize bioinformatics for a comprehensive genetic analysis.

Main Methods:

  • Collected and intersected genes associated with COVID-19 and pericarditis.
  • Performed gene ontology, pathway enrichment, and protein-protein interaction analyses.
  • Constructed interaction networks and conducted immune infiltration analysis.

Main Results:

  • Identified 313 common genes between COVID-19 and pericarditis.
  • Eight hub genes (IL-1β, CD8A, IL-10, CD4, IL-6, TLR4, CCL2, PTPRC) were identified.
  • Revealed a common gene interaction network and predicted related transcription factors, miRNAs, and drugs.

Conclusions:

  • Established a common gene interaction network for COVID-19 and pericarditis.
  • Highlighted key functional pathways and hub genes for further investigation.
  • Provided potential therapeutic targets and insights into COVID-19 associated pericarditis.
Abstract

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