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

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 pat...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8142073/
https://www.ncbi.nlm.nih.gov/pubmed/34030677
http://dx.doi.org/10.1186/s12920-021-00970-7
Descripción
Sumario: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.

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