Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34030677&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215
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 #MMPMID34030677
Bickler SW; Cauvi DM; Fisch KM; Prieto JM; Sykes AG; Thangarajah H; Lazar DA; Ignacio RC; Gerstmann DR; Ryan AF; Bickler PE; De Maio A
BMC Med Genomics 2021[May]; 14 (1): 138 PMID34030677show ga
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.