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Microbiome Profiling Using Shotgun Metagenomic Sequencing Identified Unique Microorganisms in COVID-19 Patients With Altered Gut Microbiota

COVID-19 is mainly associated with respiratory distress syndrome, but a subset of patients often present gastrointestinal (GI) symptoms. Imbalances of gut microbiota have been previously linked to respiratory virus infection. Understanding how the gut–lung axis affects the progression of COVID-19 ca...

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Autores principales: Li, Sijia, Yang, Siyuan, Zhou, Yuzheng, Disoma, Cyrollah, Dong, Zijun, Du, Ashuai, Zhang, Yongxing, Chen, Yong, Huang, Weiliang, Chen, Junru, Song, Deqiang, Chen, Zongpeng, Liu, Pinjia, Li, Shiqin, Zheng, Rong, Liu, Sixu, Razzaq, Aroona, Chen, Xuan, Tao, Siyi, Yu, Chengping, Feng, Tianxu, Liao, Wenyan, Peng, Yousong, Jiang, Taijiao, Huang, Jufang, Wu, Wei, Hu, Liqiang, Wang, Linghang, Li, Shanni, Xia, Zanxian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8542975/
https://www.ncbi.nlm.nih.gov/pubmed/34707577
http://dx.doi.org/10.3389/fmicb.2021.712081
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author Li, Sijia
Yang, Siyuan
Zhou, Yuzheng
Disoma, Cyrollah
Dong, Zijun
Du, Ashuai
Zhang, Yongxing
Chen, Yong
Huang, Weiliang
Chen, Junru
Song, Deqiang
Chen, Zongpeng
Liu, Pinjia
Li, Shiqin
Zheng, Rong
Liu, Sixu
Razzaq, Aroona
Chen, Xuan
Tao, Siyi
Yu, Chengping
Feng, Tianxu
Liao, Wenyan
Peng, Yousong
Jiang, Taijiao
Huang, Jufang
Wu, Wei
Hu, Liqiang
Wang, Linghang
Li, Shanni
Xia, Zanxian
author_facet Li, Sijia
Yang, Siyuan
Zhou, Yuzheng
Disoma, Cyrollah
Dong, Zijun
Du, Ashuai
Zhang, Yongxing
Chen, Yong
Huang, Weiliang
Chen, Junru
Song, Deqiang
Chen, Zongpeng
Liu, Pinjia
Li, Shiqin
Zheng, Rong
Liu, Sixu
Razzaq, Aroona
Chen, Xuan
Tao, Siyi
Yu, Chengping
Feng, Tianxu
Liao, Wenyan
Peng, Yousong
Jiang, Taijiao
Huang, Jufang
Wu, Wei
Hu, Liqiang
Wang, Linghang
Li, Shanni
Xia, Zanxian
author_sort Li, Sijia
collection PubMed
description COVID-19 is mainly associated with respiratory distress syndrome, but a subset of patients often present gastrointestinal (GI) symptoms. Imbalances of gut microbiota have been previously linked to respiratory virus infection. Understanding how the gut–lung axis affects the progression of COVID-19 can provide a novel framework for therapies and management. In this study, we examined the gut microbiota of patients with COVID-19 (n = 47) and compared it to healthy controls (n = 19). Using shotgun metagenomic sequencing, we have identified four microorganisms unique in COVID-19 patients, namely Streptococcus thermophilus, Bacteroides oleiciplenus, Fusobacterium ulcerans, and Prevotella bivia. The abundances of Bacteroides stercoris, B. vulgatus, B. massiliensis, Bifidobacterium longum, Streptococcus thermophilus, Lachnospiraceae bacterium 5163FAA, Prevotella bivia, Erysipelotrichaceae bacterium 6145, and Erysipelotrichaceae bacterium 2244A were enriched in COVID-19 patients, whereas the abundances of Clostridium nexile, Streptococcus salivarius, Coprococcus catus, Eubacterium hallii, Enterobacter aerogenes, and Adlercreutzia equolifaciens were decreased (p < 0.05). The relative abundance of butyrate-producing Roseburia inulinivorans is evidently depleted in COVID-19 patients, while the relative abundances of Paraprevotella sp. and the probiotic Streptococcus thermophilus were increased. We further identified 30 KEGG orthology (KO) modules overrepresented, with 7 increasing and 23 decreasing modules. Notably, 15 optimal microbial markers were identified using the random forest model to have strong diagnostic potential in distinguishing COVID-19. Based on Spearman’s correlation, eight species were associated with eight clinical indices. Moreover, the increased abundance of Bacteroidetes and decreased abundance of Firmicutes were also found across clinical types of COVID-19. Our findings suggest that the alterations of gut microbiota in patients with COVID-19 may influence disease severity. Our COVID-19 classifier, which was cross-regionally verified, provides a proof of concept that a set of microbial species markers can distinguish the presence of COVID-19.
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spelling pubmed-85429752021-10-26 Microbiome Profiling Using Shotgun Metagenomic Sequencing Identified Unique Microorganisms in COVID-19 Patients With Altered Gut Microbiota Li, Sijia Yang, Siyuan Zhou, Yuzheng Disoma, Cyrollah Dong, Zijun Du, Ashuai Zhang, Yongxing Chen, Yong Huang, Weiliang Chen, Junru Song, Deqiang Chen, Zongpeng Liu, Pinjia Li, Shiqin Zheng, Rong Liu, Sixu Razzaq, Aroona Chen, Xuan Tao, Siyi Yu, Chengping Feng, Tianxu Liao, Wenyan Peng, Yousong Jiang, Taijiao Huang, Jufang Wu, Wei Hu, Liqiang Wang, Linghang Li, Shanni Xia, Zanxian Front Microbiol Microbiology COVID-19 is mainly associated with respiratory distress syndrome, but a subset of patients often present gastrointestinal (GI) symptoms. Imbalances of gut microbiota have been previously linked to respiratory virus infection. Understanding how the gut–lung axis affects the progression of COVID-19 can provide a novel framework for therapies and management. In this study, we examined the gut microbiota of patients with COVID-19 (n = 47) and compared it to healthy controls (n = 19). Using shotgun metagenomic sequencing, we have identified four microorganisms unique in COVID-19 patients, namely Streptococcus thermophilus, Bacteroides oleiciplenus, Fusobacterium ulcerans, and Prevotella bivia. The abundances of Bacteroides stercoris, B. vulgatus, B. massiliensis, Bifidobacterium longum, Streptococcus thermophilus, Lachnospiraceae bacterium 5163FAA, Prevotella bivia, Erysipelotrichaceae bacterium 6145, and Erysipelotrichaceae bacterium 2244A were enriched in COVID-19 patients, whereas the abundances of Clostridium nexile, Streptococcus salivarius, Coprococcus catus, Eubacterium hallii, Enterobacter aerogenes, and Adlercreutzia equolifaciens were decreased (p < 0.05). The relative abundance of butyrate-producing Roseburia inulinivorans is evidently depleted in COVID-19 patients, while the relative abundances of Paraprevotella sp. and the probiotic Streptococcus thermophilus were increased. We further identified 30 KEGG orthology (KO) modules overrepresented, with 7 increasing and 23 decreasing modules. Notably, 15 optimal microbial markers were identified using the random forest model to have strong diagnostic potential in distinguishing COVID-19. Based on Spearman’s correlation, eight species were associated with eight clinical indices. Moreover, the increased abundance of Bacteroidetes and decreased abundance of Firmicutes were also found across clinical types of COVID-19. Our findings suggest that the alterations of gut microbiota in patients with COVID-19 may influence disease severity. Our COVID-19 classifier, which was cross-regionally verified, provides a proof of concept that a set of microbial species markers can distinguish the presence of COVID-19. Frontiers Media S.A. 2021-10-11 /pmc/articles/PMC8542975/ /pubmed/34707577 http://dx.doi.org/10.3389/fmicb.2021.712081 Text en Copyright © 2021 Li, Yang, Zhou, Disoma, Dong, Du, Zhang, Chen, Huang, Chen, Song, Chen, Liu, Li, Zheng, Liu, Razzaq, Chen, Tao, Yu, Feng, Liao, Peng, Jiang, Huang, Wu, Hu, Wang, Li and Xia. 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 Microbiology
Li, Sijia
Yang, Siyuan
Zhou, Yuzheng
Disoma, Cyrollah
Dong, Zijun
Du, Ashuai
Zhang, Yongxing
Chen, Yong
Huang, Weiliang
Chen, Junru
Song, Deqiang
Chen, Zongpeng
Liu, Pinjia
Li, Shiqin
Zheng, Rong
Liu, Sixu
Razzaq, Aroona
Chen, Xuan
Tao, Siyi
Yu, Chengping
Feng, Tianxu
Liao, Wenyan
Peng, Yousong
Jiang, Taijiao
Huang, Jufang
Wu, Wei
Hu, Liqiang
Wang, Linghang
Li, Shanni
Xia, Zanxian
Microbiome Profiling Using Shotgun Metagenomic Sequencing Identified Unique Microorganisms in COVID-19 Patients With Altered Gut Microbiota
title Microbiome Profiling Using Shotgun Metagenomic Sequencing Identified Unique Microorganisms in COVID-19 Patients With Altered Gut Microbiota
title_full Microbiome Profiling Using Shotgun Metagenomic Sequencing Identified Unique Microorganisms in COVID-19 Patients With Altered Gut Microbiota
title_fullStr Microbiome Profiling Using Shotgun Metagenomic Sequencing Identified Unique Microorganisms in COVID-19 Patients With Altered Gut Microbiota
title_full_unstemmed Microbiome Profiling Using Shotgun Metagenomic Sequencing Identified Unique Microorganisms in COVID-19 Patients With Altered Gut Microbiota
title_short Microbiome Profiling Using Shotgun Metagenomic Sequencing Identified Unique Microorganisms in COVID-19 Patients With Altered Gut Microbiota
title_sort microbiome profiling using shotgun metagenomic sequencing identified unique microorganisms in covid-19 patients with altered gut microbiota
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8542975/
https://www.ncbi.nlm.nih.gov/pubmed/34707577
http://dx.doi.org/10.3389/fmicb.2021.712081
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