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. Supplementary Information The online version contains supplementary material available at 10.1186/s12920-021-00970-7.
【저자키워드】 SARS-CoV-2, aging, Pattern recognition receptors, toll-like receptor 4, Skin fibroblasts, 【초록키워드】 ACE2, severe COVID-19, risk, Proteins, outcomes, Protein, RNA-Seq, age, dataset, receptor, assessment, expression, severe COVID-19 disease, PRR, pattern recognition receptor, supplementary material, increased expression, profile, fibroblast, Affect, Genes, Result, selected, highest, shown, investigated, condition, 【제목키워드】 ACE2, Epidemiology, COVID-19 disease, age, receptor, expression, pattern recognition receptor, implication, selected,