Coronavirus disease-2019 (COVID-19) is a global pandemic with high infectivity and pathogenicity, accounting for tens of thousands of deaths worldwide. Recent studies have found that the pathogen of COVID-19, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), shares the same cell receptor angiotensin converting enzyme II (ACE2) as SARS-CoV. The pathological investigation of COVID-19 deaths showed that the lungs had characteristics of pulmonary fibrosis. However, how SARS-CoV-2 spreads from the lungs to other organs has not yet been determined. Here, we performed an unbiased evaluation of cell-type-specific expression of ACE2 in healthy and fibrotic lungs, as well as in normal and failed adult human hearts, using published single-cell RNA-seq data. We found that ACE2 expression in fibrotic lungs mainly locates in arterial vascular cells, which might provide a route for bloodstream spreading of SARS-CoV-2. Failed human hearts have a higher percentage of ACE2-expressing cardiomyocytes, and SARS-CoV-2 might attack cardiomyocytes through the bloodstream in patients with heart failure. Moreover, ACE2 was highly expressed in cells infected by respiratory syncytial virus or Middle East respiratory syndrome coronavirus and in mice treated by lipopolysaccharide. Our findings indicate that patients with pulmonary fibrosis, heart failure, and virus infection have a higher risk and are more susceptible to SARS-CoV-2 infection. The SARS-CoV-2 might attack other organs by getting into the bloodstream. This study provides new insights into SARS-CoV-2 blood entry and heart injury and might propose a therapeutic strategy to prevent patients from developing severe complications.
Keyphrases
- sars cov
- respiratory syndrome coronavirus
- angiotensin converting enzyme
- single cell
- coronavirus disease
- rna seq
- angiotensin ii
- heart failure
- pulmonary fibrosis
- poor prognosis
- endothelial cells
- induced apoptosis
- cell cycle arrest
- idiopathic pulmonary fibrosis
- left ventricular
- adipose tissue
- type diabetes
- ejection fraction
- stem cells
- atrial fibrillation
- pseudomonas aeruginosa
- binding protein
- respiratory syncytial virus
- prognostic factors
- cystic fibrosis
- chronic kidney disease
- oxidative stress
- long non coding rna
- systemic sclerosis
- climate change
- immune response
- endoplasmic reticulum stress
- artificial intelligence
- big data
- wild type
- induced pluripotent stem cells
- young adults
- early onset
- inflammatory response
- deep learning
- insulin resistance
- acute heart failure
- childhood cancer