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Transcriptional Start Site Coverage Analysis in Plasma Cell-Free DNA Reveals Disease Severity and Tissue Specificity of COVID-19 Patients
Symptoms of coronavirus disease 2019 (COVID-19) range from asymptomatic to severe pneumonia and death. A deep understanding of the variation of biological characteristics in severe COVID-19 patients is crucial for the detection of individuals at high risk of critical condition for the clinical manag...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8194351/ https://www.ncbi.nlm.nih.gov/pubmed/34122515 http://dx.doi.org/10.3389/fgene.2021.663098 |
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author | Chen, Xinping Wu, Tao Li, Lingguo Lin, Yu Ma, Zhichao Xu, Jinjin Li, Hui Cheng, Fanjun Chen, Ruoyan Sun, Kun Luo, Yuxue Zhang, Chen Chen, Fang Wang, Jiao Kuo, Tingyu Li, Xiaojuan Geng, Chunyu Lin, Feng Huang, Chaojie Hu, Junjie Yin, Jianhua Liu, Ming Tao, Ye Zhang, Jiye Ou, Rijing Zheng, Fang Jin, Yan Yang, Huanming Wang, Jian Xu, Xun Fu, Shengmiao Jiang, Hongyan Jin, Xin Zhang, Haiqiang |
author_facet | Chen, Xinping Wu, Tao Li, Lingguo Lin, Yu Ma, Zhichao Xu, Jinjin Li, Hui Cheng, Fanjun Chen, Ruoyan Sun, Kun Luo, Yuxue Zhang, Chen Chen, Fang Wang, Jiao Kuo, Tingyu Li, Xiaojuan Geng, Chunyu Lin, Feng Huang, Chaojie Hu, Junjie Yin, Jianhua Liu, Ming Tao, Ye Zhang, Jiye Ou, Rijing Zheng, Fang Jin, Yan Yang, Huanming Wang, Jian Xu, Xun Fu, Shengmiao Jiang, Hongyan Jin, Xin Zhang, Haiqiang |
author_sort | Chen, Xinping |
collection | PubMed |
description | Symptoms of coronavirus disease 2019 (COVID-19) range from asymptomatic to severe pneumonia and death. A deep understanding of the variation of biological characteristics in severe COVID-19 patients is crucial for the detection of individuals at high risk of critical condition for the clinical management of the disease. Herein, by profiling the gene expression spectrum deduced from DNA coverage in regions surrounding transcriptional start site in plasma cell-free DNA (cfDNA) of COVID-19 patients, we deciphered the altered biological processes in the severe cases and demonstrated the feasibility of cfDNA in measuring the COVID-19 progression. The up- and downregulated genes in the plasma of severe patient were found to be closely related to the biological processes and functions affected by COVID-19 progression. More importantly, with the analysis of transcriptome data of blood cells and lung cells from control group and cases with severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) infection, we revealed that the upregulated genes were predominantly involved in the viral and antiviral activity in blood cells, reflecting the intense viral replication and the active reaction of immune system in the severe patients. Pathway analysis of downregulated genes in plasma DNA and lung cells also demonstrated the diminished adenosine triphosphate synthesis function in lung cells, which was evidenced to correlate with the severe COVID-19 symptoms, such as a cytokine storm and acute respiratory distress. Overall, this study revealed tissue involvement, provided insights into the mechanism of COVID-19 progression, and highlighted the utility of cfDNA as a noninvasive biomarker for disease severity inspections. |
format | Online Article Text |
id | pubmed-8194351 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81943512021-06-12 Transcriptional Start Site Coverage Analysis in Plasma Cell-Free DNA Reveals Disease Severity and Tissue Specificity of COVID-19 Patients Chen, Xinping Wu, Tao Li, Lingguo Lin, Yu Ma, Zhichao Xu, Jinjin Li, Hui Cheng, Fanjun Chen, Ruoyan Sun, Kun Luo, Yuxue Zhang, Chen Chen, Fang Wang, Jiao Kuo, Tingyu Li, Xiaojuan Geng, Chunyu Lin, Feng Huang, Chaojie Hu, Junjie Yin, Jianhua Liu, Ming Tao, Ye Zhang, Jiye Ou, Rijing Zheng, Fang Jin, Yan Yang, Huanming Wang, Jian Xu, Xun Fu, Shengmiao Jiang, Hongyan Jin, Xin Zhang, Haiqiang Front Genet Genetics Symptoms of coronavirus disease 2019 (COVID-19) range from asymptomatic to severe pneumonia and death. A deep understanding of the variation of biological characteristics in severe COVID-19 patients is crucial for the detection of individuals at high risk of critical condition for the clinical management of the disease. Herein, by profiling the gene expression spectrum deduced from DNA coverage in regions surrounding transcriptional start site in plasma cell-free DNA (cfDNA) of COVID-19 patients, we deciphered the altered biological processes in the severe cases and demonstrated the feasibility of cfDNA in measuring the COVID-19 progression. The up- and downregulated genes in the plasma of severe patient were found to be closely related to the biological processes and functions affected by COVID-19 progression. More importantly, with the analysis of transcriptome data of blood cells and lung cells from control group and cases with severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) infection, we revealed that the upregulated genes were predominantly involved in the viral and antiviral activity in blood cells, reflecting the intense viral replication and the active reaction of immune system in the severe patients. Pathway analysis of downregulated genes in plasma DNA and lung cells also demonstrated the diminished adenosine triphosphate synthesis function in lung cells, which was evidenced to correlate with the severe COVID-19 symptoms, such as a cytokine storm and acute respiratory distress. Overall, this study revealed tissue involvement, provided insights into the mechanism of COVID-19 progression, and highlighted the utility of cfDNA as a noninvasive biomarker for disease severity inspections. Frontiers Media S.A. 2021-05-28 /pmc/articles/PMC8194351/ /pubmed/34122515 http://dx.doi.org/10.3389/fgene.2021.663098 Text en Copyright © 2021 Chen, Wu, Li, Lin, Ma, Xu, Li, Cheng, Chen, Sun, Luo, Zhang, Chen, Wang, Kuo, Li, Geng, Lin, Huang, Hu, Yin, Liu, Tao, Zhang, Ou, Zheng, Jin, Yang, Wang, Xu, Fu, Jiang, Jin and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Chen, Xinping Wu, Tao Li, Lingguo Lin, Yu Ma, Zhichao Xu, Jinjin Li, Hui Cheng, Fanjun Chen, Ruoyan Sun, Kun Luo, Yuxue Zhang, Chen Chen, Fang Wang, Jiao Kuo, Tingyu Li, Xiaojuan Geng, Chunyu Lin, Feng Huang, Chaojie Hu, Junjie Yin, Jianhua Liu, Ming Tao, Ye Zhang, Jiye Ou, Rijing Zheng, Fang Jin, Yan Yang, Huanming Wang, Jian Xu, Xun Fu, Shengmiao Jiang, Hongyan Jin, Xin Zhang, Haiqiang Transcriptional Start Site Coverage Analysis in Plasma Cell-Free DNA Reveals Disease Severity and Tissue Specificity of COVID-19 Patients |
title | Transcriptional Start Site Coverage Analysis in Plasma Cell-Free DNA Reveals Disease Severity and Tissue Specificity of COVID-19 Patients |
title_full | Transcriptional Start Site Coverage Analysis in Plasma Cell-Free DNA Reveals Disease Severity and Tissue Specificity of COVID-19 Patients |
title_fullStr | Transcriptional Start Site Coverage Analysis in Plasma Cell-Free DNA Reveals Disease Severity and Tissue Specificity of COVID-19 Patients |
title_full_unstemmed | Transcriptional Start Site Coverage Analysis in Plasma Cell-Free DNA Reveals Disease Severity and Tissue Specificity of COVID-19 Patients |
title_short | Transcriptional Start Site Coverage Analysis in Plasma Cell-Free DNA Reveals Disease Severity and Tissue Specificity of COVID-19 Patients |
title_sort | transcriptional start site coverage analysis in plasma cell-free dna reveals disease severity and tissue specificity of covid-19 patients |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8194351/ https://www.ncbi.nlm.nih.gov/pubmed/34122515 http://dx.doi.org/10.3389/fgene.2021.663098 |
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