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

Autor: Philip E. Bickler, Alicia G. Sykes, James M. Prieto, David A. Lazar, Antonio De Maio, Kathleen M. Fisch, Hariharan Thangarajah, Allen F. Ryan, Dale R. Gerstmann, Romeo C. Ignacio, David M. Cauvi, Stephen W. Bickler
Rok vydání: 2021
Předmět:
0301 basic medicine
Aging
Disease
Medical Biochemistry and Metabolomics
QH426-470
0302 clinical medicine
Receptors
80 and over
RNA-Seq
030212 general & internal medicine
Child
Receptor
Lung
Internal medicine
Genetics (clinical)
Genetics & Heredity
Aged
80 and over
Regulation of gene expression
Genetics
education.field_of_study
Age Factors
Pattern recognition receptor
Dermis
Middle Aged
Virus
Infectious Diseases
Receptors
Pattern Recognition
Receptors
Virus
DNA microarray
Research Article
Adult
Pattern recognition receptors
Adolescent
Oncology and Carcinogenesis
Population
Skin fibroblasts
Pattern Recognition
Peptidyl-Dipeptidase A
Biology
Vaccine Related
Young Adult
03 medical and health sciences
Clinical Research
Biodefense
Humans
education
Gene
Aged
SARS-CoV-2
Prevention
Gene Expression Profiling
Human Genome
COVID-19
Pneumonia
Fibroblasts
Toll-like receptor 4
RC31-1245
Gene expression profiling
Emerging Infectious Diseases
Good Health and Well Being
030104 developmental biology
Gene Expression Regulation
Zdroj: BMC Medical Genomics, Vol 14, Iss 1, Pp 1-8 (2021)
BMC Medical Genomics
BMC medical genomics, vol 14, iss 1
ISSN: 1755-8794
DOI: 10.1186/s12920-021-00970-7
Popis: 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.
Databáze: OpenAIRE
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