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Plasma cell-free RNA characteristics in COVID-19 patients
The pathogenesis of COVID-19 is still elusive, which impedes disease progression prediction, differential diagnosis, and targeted therapy. Plasma cell-free RNAs (cfRNAs) carry unique information from human tissue and thus could point to resourceful solutions for pathogenesis and host-pathogen intera...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8805721/ https://www.ncbi.nlm.nih.gov/pubmed/35064006 http://dx.doi.org/10.1101/gr.276175.121 |
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author | Wang, Yanqun Li, Jie Zhang, Lu Sun, Hai-Xi Zhang, Zhaoyong Xu, Jinjin Xu, Yonghao Lin, Yu Zhu, Airu Luo, Yuxue Zhou, Haibo Wu, Yan Lin, Shanwen Sun, Yuzhe Xiao, Fei Chen, Ruiying Wen, Liyan Chen, Wei Li, Fang Ou, Rijing Zhang, Yanjun Kuo, Tingyou Li, Yuming Li, Lingguo Sun, Jing Sun, Kun Zhuang, Zhen Lu, Haorong Chen, Zhao Mai, Guoqiang Zhuo, Jianfen Qian, Puyi Chen, Jiayu Yang, Huanming Wang, Jian Xu, Xun Zhong, Nanshan Zhao, Jingxian Li, Junhua Zhao, Jincun Jin, Xin |
author_facet | Wang, Yanqun Li, Jie Zhang, Lu Sun, Hai-Xi Zhang, Zhaoyong Xu, Jinjin Xu, Yonghao Lin, Yu Zhu, Airu Luo, Yuxue Zhou, Haibo Wu, Yan Lin, Shanwen Sun, Yuzhe Xiao, Fei Chen, Ruiying Wen, Liyan Chen, Wei Li, Fang Ou, Rijing Zhang, Yanjun Kuo, Tingyou Li, Yuming Li, Lingguo Sun, Jing Sun, Kun Zhuang, Zhen Lu, Haorong Chen, Zhao Mai, Guoqiang Zhuo, Jianfen Qian, Puyi Chen, Jiayu Yang, Huanming Wang, Jian Xu, Xun Zhong, Nanshan Zhao, Jingxian Li, Junhua Zhao, Jincun Jin, Xin |
author_sort | Wang, Yanqun |
collection | PubMed |
description | The pathogenesis of COVID-19 is still elusive, which impedes disease progression prediction, differential diagnosis, and targeted therapy. Plasma cell-free RNAs (cfRNAs) carry unique information from human tissue and thus could point to resourceful solutions for pathogenesis and host-pathogen interactions. Here, we performed a comparative analysis of cfRNA profiles between COVID-19 patients and healthy donors using serial plasma. Analyses of the cfRNA landscape, potential gene regulatory mechanisms, dynamic changes in tRNA pools upon infection, and microbial communities were performed. A total of 380 cfRNA molecules were up-regulated in all COVID-19 patients, of which seven could serve as potential biomarkers (AUC > 0.85) with great sensitivity and specificity. Antiviral (NFKB1A, IFITM3, and IFI27) and neutrophil activation (S100A8, CD68, and CD63)–related genes exhibited decreased expression levels during treatment in COVID-19 patients, which is in accordance with the dynamically enhanced inflammatory response in COVID-19 patients. Noncoding RNAs, including some microRNAs (let 7 family) and long noncoding RNAs (GJA9-MYCBP) targeting interleukin (IL6/IL6R), were differentially expressed between COVID-19 patients and healthy donors, which accounts for the potential core mechanism of cytokine storm syndromes; the tRNA pools change significantly between the COVID-19 and healthy group, leading to the accumulation of SARS-CoV-2 biased codons, which facilitate SARS-CoV-2 replication. Finally, several pneumonia-related microorganisms were detected in the plasma of COVID-19 patients, raising the possibility of simultaneously monitoring immune response regulation and microbial communities using cfRNA analysis. This study fills the knowledge gap in the plasma cfRNA landscape of COVID-19 patients and offers insight into the potential mechanisms of cfRNAs to explain COVID-19 pathogenesis. |
format | Online Article Text |
id | pubmed-8805721 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-88057212022-02-07 Plasma cell-free RNA characteristics in COVID-19 patients Wang, Yanqun Li, Jie Zhang, Lu Sun, Hai-Xi Zhang, Zhaoyong Xu, Jinjin Xu, Yonghao Lin, Yu Zhu, Airu Luo, Yuxue Zhou, Haibo Wu, Yan Lin, Shanwen Sun, Yuzhe Xiao, Fei Chen, Ruiying Wen, Liyan Chen, Wei Li, Fang Ou, Rijing Zhang, Yanjun Kuo, Tingyou Li, Yuming Li, Lingguo Sun, Jing Sun, Kun Zhuang, Zhen Lu, Haorong Chen, Zhao Mai, Guoqiang Zhuo, Jianfen Qian, Puyi Chen, Jiayu Yang, Huanming Wang, Jian Xu, Xun Zhong, Nanshan Zhao, Jingxian Li, Junhua Zhao, Jincun Jin, Xin Genome Res Research The pathogenesis of COVID-19 is still elusive, which impedes disease progression prediction, differential diagnosis, and targeted therapy. Plasma cell-free RNAs (cfRNAs) carry unique information from human tissue and thus could point to resourceful solutions for pathogenesis and host-pathogen interactions. Here, we performed a comparative analysis of cfRNA profiles between COVID-19 patients and healthy donors using serial plasma. Analyses of the cfRNA landscape, potential gene regulatory mechanisms, dynamic changes in tRNA pools upon infection, and microbial communities were performed. A total of 380 cfRNA molecules were up-regulated in all COVID-19 patients, of which seven could serve as potential biomarkers (AUC > 0.85) with great sensitivity and specificity. Antiviral (NFKB1A, IFITM3, and IFI27) and neutrophil activation (S100A8, CD68, and CD63)–related genes exhibited decreased expression levels during treatment in COVID-19 patients, which is in accordance with the dynamically enhanced inflammatory response in COVID-19 patients. Noncoding RNAs, including some microRNAs (let 7 family) and long noncoding RNAs (GJA9-MYCBP) targeting interleukin (IL6/IL6R), were differentially expressed between COVID-19 patients and healthy donors, which accounts for the potential core mechanism of cytokine storm syndromes; the tRNA pools change significantly between the COVID-19 and healthy group, leading to the accumulation of SARS-CoV-2 biased codons, which facilitate SARS-CoV-2 replication. Finally, several pneumonia-related microorganisms were detected in the plasma of COVID-19 patients, raising the possibility of simultaneously monitoring immune response regulation and microbial communities using cfRNA analysis. This study fills the knowledge gap in the plasma cfRNA landscape of COVID-19 patients and offers insight into the potential mechanisms of cfRNAs to explain COVID-19 pathogenesis. Cold Spring Harbor Laboratory Press 2022-02 /pmc/articles/PMC8805721/ /pubmed/35064006 http://dx.doi.org/10.1101/gr.276175.121 Text en © 2022 Wang et al.; Published by Cold Spring Harbor Laboratory Press https://creativecommons.org/licenses/by-nc/4.0/This article, published in Genome Research, is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Research Wang, Yanqun Li, Jie Zhang, Lu Sun, Hai-Xi Zhang, Zhaoyong Xu, Jinjin Xu, Yonghao Lin, Yu Zhu, Airu Luo, Yuxue Zhou, Haibo Wu, Yan Lin, Shanwen Sun, Yuzhe Xiao, Fei Chen, Ruiying Wen, Liyan Chen, Wei Li, Fang Ou, Rijing Zhang, Yanjun Kuo, Tingyou Li, Yuming Li, Lingguo Sun, Jing Sun, Kun Zhuang, Zhen Lu, Haorong Chen, Zhao Mai, Guoqiang Zhuo, Jianfen Qian, Puyi Chen, Jiayu Yang, Huanming Wang, Jian Xu, Xun Zhong, Nanshan Zhao, Jingxian Li, Junhua Zhao, Jincun Jin, Xin Plasma cell-free RNA characteristics in COVID-19 patients |
title | Plasma cell-free RNA characteristics in COVID-19 patients |
title_full | Plasma cell-free RNA characteristics in COVID-19 patients |
title_fullStr | Plasma cell-free RNA characteristics in COVID-19 patients |
title_full_unstemmed | Plasma cell-free RNA characteristics in COVID-19 patients |
title_short | Plasma cell-free RNA characteristics in COVID-19 patients |
title_sort | plasma cell-free rna characteristics in covid-19 patients |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8805721/ https://www.ncbi.nlm.nih.gov/pubmed/35064006 http://dx.doi.org/10.1101/gr.276175.121 |
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