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Metatranscriptome of human lung microbial communities in a cohort of mechanically ventilated COVID-19 Omicron patients
The Omicron variant of the severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) infected a substantial proportion of Chinese population, and understanding the factors underlying the severity of the disease and fatality is valuable for future prevention and clinical treatment. We recruited 64...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638395/ https://www.ncbi.nlm.nih.gov/pubmed/37949875 http://dx.doi.org/10.1038/s41392-023-01684-1 |
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author | Wang, Lin Cao, Jia-Bao Xia, Bin-Bin Li, Yue-Juan Zhang, Xuan Mo, Guo-Xin Wang, Rui-Juan Guo, Si-Qi Zhang, Yu-Qing Xiao, Kun Zhu, Guang-Fa Liu, Peng-Fei Song, Li-Cheng Ma, Xi-Hui Xiang, Ping-Chao Wang, Jiang Liu, Yu-Hong Xie, Fei Zhang, Xu-Dong Li, Xiang-Xin Sun, Wan-Lu Cao, Yan Wang, Kai-Fei Zhang, Wen-Hui Zhao, Wei-Chao Yan, Peng Chen, Ji-Chao Yang, Yu-Wei Yu, Zhong-Kuo Tang, Jing-Si Xiao, Li Zhou, Jie-Min Xie, Li-Xin Wang, Jun |
author_facet | Wang, Lin Cao, Jia-Bao Xia, Bin-Bin Li, Yue-Juan Zhang, Xuan Mo, Guo-Xin Wang, Rui-Juan Guo, Si-Qi Zhang, Yu-Qing Xiao, Kun Zhu, Guang-Fa Liu, Peng-Fei Song, Li-Cheng Ma, Xi-Hui Xiang, Ping-Chao Wang, Jiang Liu, Yu-Hong Xie, Fei Zhang, Xu-Dong Li, Xiang-Xin Sun, Wan-Lu Cao, Yan Wang, Kai-Fei Zhang, Wen-Hui Zhao, Wei-Chao Yan, Peng Chen, Ji-Chao Yang, Yu-Wei Yu, Zhong-Kuo Tang, Jing-Si Xiao, Li Zhou, Jie-Min Xie, Li-Xin Wang, Jun |
author_sort | Wang, Lin |
collection | PubMed |
description | The Omicron variant of the severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) infected a substantial proportion of Chinese population, and understanding the factors underlying the severity of the disease and fatality is valuable for future prevention and clinical treatment. We recruited 64 patients with invasive ventilation for COVID-19 and performed metatranscriptomic sequencing to profile host transcriptomic profiles, plus viral, bacterial, and fungal content, as well as virulence factors and examined their relationships to 28-day mortality were examined. In addition, the bronchoalveolar lavage fluid (BALF) samples from invasive ventilated hospital/community-acquired pneumonia patients (HAP/CAP) sampled in 2019 were included for comparison. Genomic analysis revealed that all Omicron strains belong to BA.5 and BF.7 sub-lineages, with no difference in 28-day mortality between them. Compared to HAP/CAP cohort, invasive ventilated COVID-19 patients have distinct host transcriptomic and microbial signatures in the lower respiratory tract; and in the COVID-19 non-survivors, we found significantly lower gene expressions in pathways related viral processes and positive regulation of protein localization to plasma membrane, higher abundance of opportunistic pathogens including bacterial Alloprevotella, Caulobacter, Escherichia-Shigella, Ralstonia and fungal Aspergillus sydowii and Penicillium rubens. Correlational analysis further revealed significant associations between host immune responses and microbial compositions, besides synergy within viral, bacterial, and fungal pathogens. Our study presents the relationships of lower respiratory tract microbiome and transcriptome in invasive ventilated COVID-19 patients, providing the basis for future clinical treatment and reduction of fatality. |
format | Online Article Text |
id | pubmed-10638395 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106383952023-11-11 Metatranscriptome of human lung microbial communities in a cohort of mechanically ventilated COVID-19 Omicron patients Wang, Lin Cao, Jia-Bao Xia, Bin-Bin Li, Yue-Juan Zhang, Xuan Mo, Guo-Xin Wang, Rui-Juan Guo, Si-Qi Zhang, Yu-Qing Xiao, Kun Zhu, Guang-Fa Liu, Peng-Fei Song, Li-Cheng Ma, Xi-Hui Xiang, Ping-Chao Wang, Jiang Liu, Yu-Hong Xie, Fei Zhang, Xu-Dong Li, Xiang-Xin Sun, Wan-Lu Cao, Yan Wang, Kai-Fei Zhang, Wen-Hui Zhao, Wei-Chao Yan, Peng Chen, Ji-Chao Yang, Yu-Wei Yu, Zhong-Kuo Tang, Jing-Si Xiao, Li Zhou, Jie-Min Xie, Li-Xin Wang, Jun Signal Transduct Target Ther Article The Omicron variant of the severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) infected a substantial proportion of Chinese population, and understanding the factors underlying the severity of the disease and fatality is valuable for future prevention and clinical treatment. We recruited 64 patients with invasive ventilation for COVID-19 and performed metatranscriptomic sequencing to profile host transcriptomic profiles, plus viral, bacterial, and fungal content, as well as virulence factors and examined their relationships to 28-day mortality were examined. In addition, the bronchoalveolar lavage fluid (BALF) samples from invasive ventilated hospital/community-acquired pneumonia patients (HAP/CAP) sampled in 2019 were included for comparison. Genomic analysis revealed that all Omicron strains belong to BA.5 and BF.7 sub-lineages, with no difference in 28-day mortality between them. Compared to HAP/CAP cohort, invasive ventilated COVID-19 patients have distinct host transcriptomic and microbial signatures in the lower respiratory tract; and in the COVID-19 non-survivors, we found significantly lower gene expressions in pathways related viral processes and positive regulation of protein localization to plasma membrane, higher abundance of opportunistic pathogens including bacterial Alloprevotella, Caulobacter, Escherichia-Shigella, Ralstonia and fungal Aspergillus sydowii and Penicillium rubens. Correlational analysis further revealed significant associations between host immune responses and microbial compositions, besides synergy within viral, bacterial, and fungal pathogens. Our study presents the relationships of lower respiratory tract microbiome and transcriptome in invasive ventilated COVID-19 patients, providing the basis for future clinical treatment and reduction of fatality. Nature Publishing Group UK 2023-11-10 /pmc/articles/PMC10638395/ /pubmed/37949875 http://dx.doi.org/10.1038/s41392-023-01684-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wang, Lin Cao, Jia-Bao Xia, Bin-Bin Li, Yue-Juan Zhang, Xuan Mo, Guo-Xin Wang, Rui-Juan Guo, Si-Qi Zhang, Yu-Qing Xiao, Kun Zhu, Guang-Fa Liu, Peng-Fei Song, Li-Cheng Ma, Xi-Hui Xiang, Ping-Chao Wang, Jiang Liu, Yu-Hong Xie, Fei Zhang, Xu-Dong Li, Xiang-Xin Sun, Wan-Lu Cao, Yan Wang, Kai-Fei Zhang, Wen-Hui Zhao, Wei-Chao Yan, Peng Chen, Ji-Chao Yang, Yu-Wei Yu, Zhong-Kuo Tang, Jing-Si Xiao, Li Zhou, Jie-Min Xie, Li-Xin Wang, Jun Metatranscriptome of human lung microbial communities in a cohort of mechanically ventilated COVID-19 Omicron patients |
title | Metatranscriptome of human lung microbial communities in a cohort of mechanically ventilated COVID-19 Omicron patients |
title_full | Metatranscriptome of human lung microbial communities in a cohort of mechanically ventilated COVID-19 Omicron patients |
title_fullStr | Metatranscriptome of human lung microbial communities in a cohort of mechanically ventilated COVID-19 Omicron patients |
title_full_unstemmed | Metatranscriptome of human lung microbial communities in a cohort of mechanically ventilated COVID-19 Omicron patients |
title_short | Metatranscriptome of human lung microbial communities in a cohort of mechanically ventilated COVID-19 Omicron patients |
title_sort | metatranscriptome of human lung microbial communities in a cohort of mechanically ventilated covid-19 omicron patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638395/ https://www.ncbi.nlm.nih.gov/pubmed/37949875 http://dx.doi.org/10.1038/s41392-023-01684-1 |
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