Resolving the developmental mechanisms of coagulation abnormalities characteristic of SARS-CoV2 based on single-cell transcriptome analysis
Luo, X.; Zhang, N.; Liu, Y.; Du, B.; Wang, X.; Zhao, T.; Liu, B.; Zhao, S.; Qiu, J.; Wang, G.
Show abstract
The COVID-19 outbreak caused by the SARS-CoV-2 virus has developed into a global health emergency. In addition to causing respiratory symptoms following SARS-CoV-2 infection, COVID-19-associated coagulopathy (CAC) is the main cause of death in patients with severe COVID-19. In this study, we performed single-cell sequencing analysis of the right ventricular free wall tissue from healthy donors, patients who died in the hypercoagulable phase of CAC, and patients in the fibrinolytic phase of CAC. Among these, we collected 61,187 cells, which were enriched in 24 immune cell subsets and 13 cardiac-resident cell subsets. We found that in response to SARS-CoV-2 infection, CD9highCCR2highmonocyte-derived mo promoted hyperactivation of the immune system and initiated the extrinsic coagulation pathway by activating CXCR-GNB/G-PI3K-AKT. This sequence of events is the main process contributing the development of coagulation disorders subsequent to SARS-CoV-2 infection. In the characteristic coagulation disorder caused by SARS-CoV-2, excessive immune activation is accompanied by an increase in cellular iron content, which in turn promotes oxidative stress and intensifies intercellular competition. This induces cells to alter their metabolic environment, resulting in an increase in sugar uptake, such as that via the glycosaminoglycan synthesis pathway, in CAC coagulation disorders. In addition, high levels of reactive oxygen species generated in response elevated iron levels promote the activation of unsaturated fatty acid metabolic pathways in endothelial cell subgroups, including vascular endothelial cells. This in turn promotes the excessive production of the toxic peroxidation by-product malondialdehyde, which exacerbates both the damage caused to endothelial cells and coagulation disorders.
Matching journals
The top 11 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Impact of Comorbidities on SARS-CoV-2 Viral Entry-Related Genes 91%
- White blood cells and severe COVID-19: a Mendelian randomization study 91%
- In situ maturated early-stage human induced pluripotent stem cell-derived cardiomyocytes improve cardiac function by enhancing segmentary contraction in infarcted rats 91%
Similar papers in this journal
- Endothelial Cell-Derived Extracellular Vesicles Elicit Neutrophil Deployment from the Spleen Following Acute Myocardial Infarction 93%
- Endothelial Rho kinase controls blood vessel integrity and angiogenesis 92%
- Cardiac SARS-CoV-2 infection is associated with distinct transcriptomic changes within the heart 92%
Similar papers in this journal
- Elevated Angiopoietin-2 inhibits thrombomodulin-mediated anticoagulation in critically ill COVID-19 patients 94%
- Platelets induce cell apoptosis of cardiac cells via FasL after acute myocardial infarction 93%
- Spontaneous myocarditis in mice predisposed to autoimmune disease: Including Vaccination-induced onset 93%
Similar papers in this journal
- Deciphering the Preeclampsia-Specific Immune Microenvironment: The Role of Pro-inflammatory Macrophages 93%
- Single cell transcriptome analysis of cavernous tissues reveals the key roles of pericytes in diabetic erectile dysfunction 93%
- Cross-talk between red blood cells and plasma influences blood flow and omics phenotypes in severe COVID-19 93%
Similar papers in this journal
- Shapes and Dimensions of Blood Clots Affect the Rate and Extent of Platelet-Driven Clot Contraction and Will Determine the Outcomes of Thrombosis 93%
- Fibrinogen-Associated Plasma Metabolites and Implications for Coagulation, Inflammation, and Vascular Diseases 93%
- Viable circulating endothelial cells and their progenitors are increased in Covid-19 patients 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.