Age is Associated With Increased Expression of 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 pattern recognition receptor (PRR) genes and ACE2, the receptor for SARS-CoV-2.
Results: Older age was associated with increased expression of 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.
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Additional file 1: Supplementary Table 1. Gene expression analysis between the oldest (≥80 years) and youngest (≤10) age groups: a) Differentially expressed genes with an Adjusted P Value <0.05 and Absolute FC >1.0, b) ACE2 and PRR genes
Additional file 1: Supplementary Table 1. Gene expression analysis between the oldest (≥80 years) and youngest (≤10) age groups: a) Differentially expressed genes with an Adjusted P Value <0.05 and Absolute FC >1.0, b) ACE2 and PRR genes
Additional file 2: Supplementary Table 2. ToppGene enrichment results for differentially expressed genes between the oldest and youngest age groups (filtered to show KEGG pathway results)
Additional file 2: Supplementary Table 2. ToppGene enrichment results for differentially expressed genes between the oldest and youngest age groups (filtered to show KEGG pathway results)
Additional file 3: Supplementary Table 3. a) Pearson r, b) P values, and c) Confidence intervals of r for the correlation matrix shown in Fig. 2a
Additional file 3: Supplementary Table 3. a) Pearson r, b) P values, and c) Confidence intervals of r for the correlation matrix shown in Fig. 2a
Additional file 4: Supplementary Figure 1. Normalized gene counts for the ten Toll-like receptors expressed as a function of age
Additional file 4: Supplementary Figure 1. Normalized gene counts for the ten Toll-like receptors expressed as a function of age
Additional file 5: Supplementary Table 4. Differentially expressed genes between TLR4 high vs low expressors
Additional file 5: Supplementary Table 4. Differentially expressed genes between TLR4 high vs low expressors
Additional file 6: Supplementary Table 5. ToppGene enrichment results for differentially expressed genes between TLR4 high and low expressors (filtered to show KEGG pathway results)
Additional file 6: Supplementary Table 5. ToppGene enrichment results for differentially expressed genes between TLR4 high and low expressors (filtered to show KEGG pathway results)
Posted 21 Sep, 2020
Age is Associated With Increased Expression of Pattern Recognition Receptor Genes and ACE2, the Receptor for SARs-Cov-2: Implications for the Epidemiology of COVID-19 Disease
Posted 21 Sep, 2020
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: Older age was associated with increased expression of 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.
Figure 1
Figure 2