COVID-19 Severity Potentially Modulated by Cardiovascular-Disease-Associated Immune Dysregulation.
Abby C LeeGrant CastanedaWei Tse LiChengyu ChenNeil ShendeJaideep ChakladarPam R TaubEric Y ChangWeg M OngkekoPublished in: Viruses (2021)
Patients with underlying cardiovascular conditions are particularly vulnerable to severe COVID-19. In this project, we aimed to characterize similarities in dysregulated immune pathways between COVID-19 patients and patients with cardiomyopathy, venous thromboembolism (VTE), or coronary artery disease (CAD). We hypothesized that these similarly dysregulated pathways may be critical to how cardiovascular diseases (CVDs) exacerbate COVID-19. To evaluate immune dysregulation in different diseases, we used four separate datasets, including RNA-sequencing data from human left ventricular cardiac muscle samples of patients with dilated or ischemic cardiomyopathy and healthy controls; RNA-sequencing data of whole blood samples from patients with single or recurrent event VTE and healthy controls; RNA-sequencing data of human peripheral blood mononuclear cells (PBMCs) from patients with and without obstructive CAD; and RNA-sequencing data of platelets from COVID-19 subjects and healthy controls. We found similar immune dysregulation profiles between patients with CVDs and COVID-19 patients. Interestingly, cardiomyopathy patients display the most similar immune landscape to COVID-19 patients. Additionally, COVID-19 patients experience greater upregulation of cytokine- and inflammasome-related genes than patients with CVDs. In all, patients with CVDs have a significant overlap of cytokine- and inflammasome-related gene expression profiles with that of COVID-19 patients, possibly explaining their greater vulnerability to severe COVID-19.
Keyphrases
- sars cov
- venous thromboembolism
- coronavirus disease
- single cell
- coronary artery disease
- cardiovascular disease
- respiratory syndrome coronavirus
- left ventricular
- electronic health record
- heart failure
- endothelial cells
- end stage renal disease
- big data
- rna seq
- chronic kidney disease
- climate change
- type diabetes
- direct oral anticoagulants
- induced pluripotent stem cells
- peritoneal dialysis
- cell proliferation
- early onset
- acute myocardial infarction
- genome wide
- mitral valve
- drug induced
- hypertrophic cardiomyopathy
- machine learning
- cardiovascular risk factors
- coronary artery bypass grafting
- acute coronary syndrome
- copy number
- metabolic syndrome
- atrial fibrillation
- long non coding rna
- left atrial
- aortic stenosis
- cardiac resynchronization therapy