| Autor: |
Fang Li, Pingchao Li, Zhilong Chen, Fuchun Zhang, Ying Feng, Qihong Yan, Jinlin Wang, Jia Luo, Zhaoming Chen, Kun Luo, Ling Chen, Linbing Qu, Tianxing Ji, X.L. Ye, Chunliang Lei, Xiaohan Huang, Qian Wang, Xiaoneng Mo, Bo Feng, Liqiang Feng, Xuefeng Niu, Feng Li, Yudi Zhang, Jian-Hua Wang |
| Rok vydání: |
2020 |
| Předmět: |
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| DOI: |
10.1101/2020.05.05.20091355 |
| Popis: |
COVID-19, caused by SARS-CoV-2, is an acute self-resolving disease in most of the patients, but some patients can develop a severe illness or even death. To characterize the host responses and identify potential biomarkers during disease progression, we performed a longitudinal transcriptome analysis for peripheral blood mononuclear cells (PBMCs) collected from 4 COVID-19 patients at 4 different time points from symptom onset to recovery. We found that PBMCs at different COVID-19 disease stages exhibited unique transcriptome characteristics. SARS-CoV-2 infection dysregulated innate immunity especially type I interferon response as well as the disturbed release of inflammatory cytokines and lipid mediators, and an aberrant increase of low-density neutrophils may cause tissue damage. Activation of cell death, exhaustion and migratory pathways may lead to the reduction of lymphocytes and dysfunction of adaptive immunity. COVID-19 induced hypoxia may exacerbate disorders in blood coagulation. Based on our analysis, we proposed a set of potential biomarkers for monitoring disease progression and predicting the risk of severity. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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