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Identification of hub genes and molecular subtypes in COVID-19 based on WGCNA

R-W Hu1, C Liu, Y-Y Yan

  • 1Department of Gastrointestinal Surgery, Henan Provincial People's Hospital, Zhengzhou, Henan, China. sry_lidan@sina.com.

European Review for Medical and Pharmacological Sciences
|November 3, 2021
PubMed

Insights

Researchers identified three molecular subtypes of Coronavirus disease 2019 (COVID-19) with distinct gene activation patterns. These subtypes may explain the varied clinical presentations and outcomes observed in COVID-19 patients.

Area of Science:

  • Genomics
  • Molecular Biology
  • Infectious Diseases

Background:

  • Coronavirus disease 2019 (COVID-19) exhibits significant heterogeneity in clinical manifestations and mortality.
  • This variability may stem from underlying molecular differences within the patient population.
  • Identifying these molecular subtypes is crucial for improving disease management and patient outcomes.

Purpose of the Study:

  • To classify Coronavirus disease 2019 (COVID-19) patients into distinct molecular subtypes.
  • To identify key genes and biological pathways associated with each identified subtype.
  • To understand the molecular basis of clinical heterogeneity in COVID-19.

Main Methods:

  • Whole-genome sequencing data from COVID-19 patients and healthy controls were analyzed.
  • Consistent clustering was employed to classify patients into molecular subtypes.
  • Weighted gene co-expression network analysis (WGCNA) and differential gene expression analysis were performed.
  • Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted.

Main Results:

  • Three distinct molecular subtypes of COVID-19 were identified.
  • Significant differences in gene activation and pathway enrichment were observed between subtypes.
  • Eleven hub genes, including RSAD2, IFIT1, and MX1, were identified as critical for differentiating subtypes.

Conclusions:

  • Distinct molecular subtypes of COVID-19 exist, characterized by unique gene activation profiles.
  • These molecular differences likely contribute to the observed heterogeneity in clinical symptoms and prognosis.
  • Understanding these subtypes offers potential for more targeted therapeutic strategies.
Abstract

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