- Bickler, Stephen W;
- Cauvi, David M;
- Fisch, Kathleen M;
- Prieto, James M;
- Sykes, Alicia G;
- Thangarajah, Hariharan;
- Lazar, David A;
- Ignacio, Romeo C;
- Gerstmann, Dale R;
- Ryan, Allen F;
- Bickler, Philip E;
- De Maio, Antonio
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.