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Research article
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
Stephen W. Bickler
Professor of Surgery and Pediatrics Rady Children’s Hospital—University of California San Diego 3030 Children’s Way San Diego, CA 92123 USA
Corresponding Author
ORCiD: https://orcid.org/0000-0003-2626-2407
License:
This work is licensed under a CC BY 4.0 License. Read Full License
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.
Keywords
SARS-CoV-2, Pattern recognition receptors, Toll-like receptor 4, Aging, Skin fibroblasts
Figure 1
Figure 2
This is a list of supplementary files associated with this preprint. Click to download.
- supp1.xlsx
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
- supp1.xlsx
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
- supp2.xlsx
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)
- supp2.xlsx
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)
- supp3.xlsx
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
- supp3.xlsx
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
- supp4.pdf
Additional file 4: Supplementary Figure 1. Normalized gene counts for the ten Toll-like receptors expressed as a function of age
- supp4.pdf
Additional file 4: Supplementary Figure 1. Normalized gene counts for the ten Toll-like receptors expressed as a function of age
- supp5.xlsx
Additional file 5: Supplementary Table 4. Differentially expressed genes between TLR4 high vs low expressors
- supp5.xlsx
Additional file 5: Supplementary Table 4. Differentially expressed genes between TLR4 high vs low expressors
- supp6.xlsx
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)
- supp6.xlsx
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)
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Research article
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
Stephen W. Bickler
Professor of Surgery and Pediatrics Rady Children’s Hospital—University of California San Diego 3030 Children’s Way San Diego, CA 92123 USA
Corresponding Author
ORCiD: https://orcid.org/0000-0003-2626-2407
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 21 Sep, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Epigenetics & Genomics
License:
This work is licensed under a CC BY 4.0 License. Read Full License
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