Brain Disease Network Analysis to Elucidate the Neurological Manifestations of COVID-19

Mol Neurobiol. 2021 May;58(5):1875-1893. doi: 10.1007/s12035-020-02266-w. Epub 2021 Jan 6.

Abstract

Although COVID-19 largely causes respiratory complications, it can also lead to various extrapulmonary manifestations resulting in higher mortality and these comorbidities are posing a challenge to the health care system. Reports indicate that 30-60% of patients with COVID-19 suffer from neurological symptoms. To understand the molecular basis of the neurologic comorbidity in COVID-19 patients, we have investigated the genetic association between COVID-19 and various brain disorders through a systems biology-based network approach and observed a remarkable resemblance. Our results showed 123 brain-related disorders associated with COVID-19 and form a high-density disease-disease network. The brain-disease-gene network revealed five highly clustered modules demonstrating a greater complexity of COVID-19 infection. Moreover, we have identified 35 hub proteins of the network which were largely involved in the protein catabolic process, cell cycle, RNA metabolic process, and nuclear transport. Perturbing these hub proteins by drug repurposing will improve the clinical conditions in comorbidity. In the near future, we assumed that in COVID-19 patients, many other neurological manifestations will likely surface. Thus, understanding the infection mechanisms of SARS-CoV-2 and associated comorbidity is a high priority to contain its short- and long-term effects on human health. Our network-based analysis strengthens the understanding of the molecular basis of the neurological manifestations observed in COVID-19 and also suggests drug for repurposing.

Keywords: COVID-19; Disease-gene interaction; Drug repurposing; Hub genes; Network biology; Neurologic comorbidity.

MeSH terms

  • Brain Diseases / genetics*
  • COVID-19 / genetics*
  • Gene Regulatory Networks*
  • Genetic Association Studies
  • Humans
  • SARS-CoV-2*
  • Systems Biology