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COVID-19 Mortality is Associated with Impaired Innate Immunity in Pre-existing Health Conditions

Matthew E. Lee, Yung Chang, Navid Ahmadinejad, Crista E. Johnson-Agbakwu, Celeste Bailey, View ORCID ProfileLi Liu
doi: https://doi.org/10.1101/2021.05.31.446476
Matthew E. Lee
1College of Health Solutions, Arizona State University, Phoenix, AZ, 85004, USA
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Yung Chang
2School of Life Sciences, Arizona State University, Tempe, AZ, 85281, USA
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Navid Ahmadinejad
1College of Health Solutions, Arizona State University, Phoenix, AZ, 85004, USA
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Crista E. Johnson-Agbakwu
3Valleywise Health Medical Center, Phoenix, AZ, 85008, USA
4Creighton University School of Medicine -Phoenix Campus, Phoenix, AZ, 85008, USA
6Southwest Interdisciplinary Research Center, Arizona State University, Phoenix, AZ 85004, USA
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Celeste Bailey
3Valleywise Health Medical Center, Phoenix, AZ, 85008, USA
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Li Liu
1College of Health Solutions, Arizona State University, Phoenix, AZ, 85004, USA
3Valleywise Health Medical Center, Phoenix, AZ, 85008, USA
5Department of Neurology, Mayo Clinic, Scottsdale, AZ 85259, USA
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  • ORCID record for Li Liu
  • For correspondence: liliu@asu.edu
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Abstract

Background COVID-19 poses a life-threatening endangerment to individuals with chronic diseases. However, not all comorbidities affect COVID-19 prognosis equally. Some increase the risk of COVID-19 related death by more than six folds while others show little to no impact. To prevent severe outcomes, it is critical that we comprehend pre-existing molecular abnormalities in common health conditions that predispose patients to poor prognoses. In this study, we aim to discover some of these molecular risk factors by associating gene expression dysregulations in common health conditions with COVID-19 mortality rates in different cohorts.

Methods We focused on fourteen pre-existing health conditions, for which age-and-sex-adjusted hazard ratios of COVID-19 mortality have been documented. For each health condition, we analyzed existing transcriptomics data to identify differentially expressed genes (DEGs) between affected individuals and unaffected individuals. We then tested if fold changes of any DEG in these pre-existing conditions were correlated with hazard ratios of COVID-19 mortality to discover molecular risk factors. We performed gene set enrichment analysis to identify functional groups overrepresented in these risk factor genes and examined their relationships with the COVID-19 disease pathway.

Results We found that upregulated expression of 70 genes and downregulated expression of 181 genes in pre-existing health conditions were correlated with increased risk of COVID-19 related death. These genes were significantly enriched with endoplasmic reticulum (ER) function, proinflammatory reaction, and interferon production that participate in viral transcription and immune responses to viral infections.

Conclusions Impaired innate immunity in pre-existing health conditions are associated with increased hazard of COVID-19 mortality. The discovered molecular risk factors are potential prognostic biomarkers and targets for therapeutic interventions.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted May 31, 2021.
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COVID-19 Mortality is Associated with Impaired Innate Immunity in Pre-existing Health Conditions
Matthew E. Lee, Yung Chang, Navid Ahmadinejad, Crista E. Johnson-Agbakwu, Celeste Bailey, Li Liu
bioRxiv 2021.05.31.446476; doi: https://doi.org/10.1101/2021.05.31.446476
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COVID-19 Mortality is Associated with Impaired Innate Immunity in Pre-existing Health Conditions
Matthew E. Lee, Yung Chang, Navid Ahmadinejad, Crista E. Johnson-Agbakwu, Celeste Bailey, Li Liu
bioRxiv 2021.05.31.446476; doi: https://doi.org/10.1101/2021.05.31.446476

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