Extremes of age are associated with differences in the expression of selected pattern recognition receptor genes and ACE2, the receptor for SARS-CoV-2: implications for the epidemiology of COVID-19 disease

BMC Med Genomics. 2021 May 24;14(1):138. doi: 10.1186/s12920-021-00970-7.

Abstract

Background: Older aged adults and those with pre-existing conditions are at highest risk for severe COVID-19 associated outcomes.

Methods: Using a large dataset of genome-wide RNA-seq profiles derived from human dermal fibroblasts (GSE113957) we investigated whether age affects the expression of pattern recognition receptor (PRR) genes and ACE2, the receptor for SARS-CoV-2.

Results: Extremes of age are associated with increased expression of selected PRR genes, ACE2 and four genes that encode proteins that have been shown to interact with SAR2-CoV-2 proteins.

Conclusions: Assessment of PRR expression might provide a strategy for stratifying the risk of severe COVID-19 disease at both the individual and population levels.

Keywords: Aging; Pattern recognition receptors; SARS-CoV-2; Skin fibroblasts; Toll-like receptor 4.

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Aged
  • Aged, 80 and over
  • COVID-19 / genetics*
  • COVID-19 / virology*
  • Child
  • Dermis / pathology
  • Fibroblasts / metabolism
  • Gene Expression Profiling
  • Gene Expression Regulation*
  • Humans
  • Middle Aged
  • Peptidyl-Dipeptidase A / genetics*
  • RNA-Seq
  • Receptors, Pattern Recognition / genetics*
  • Receptors, Virus / genetics*
  • Receptors, Virus / metabolism
  • SARS-CoV-2 / metabolism*
  • Young Adult

Substances

  • Receptors, Pattern Recognition
  • Receptors, Virus
  • Peptidyl-Dipeptidase A