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Alterations in the human oral and gut microbiomes and lipidomics in COVID-19

OBJECTIVE: To characterise the oral microbiome, gut microbiome and serum lipid profiles in patients with active COVID-19 and recovered patients; evaluate the potential of the microbiome as a non-invasive biomarker for COVID-19; and explore correlations between the microbiome and lipid profile. DESIG...

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Autores principales: Ren, Zhigang, Wang, Haiyu, Cui, Guangying, Lu, Haifeng, Wang, Ling, Luo, Hong, Chen, Xinhua, Ren, Hongyan, Sun, Ranran, Liu, Wenli, Liu, Xiaorui, Liu, Chao, Li, Ang, Wang, Xuemei, Rao, Benchen, Yuan, Chengyu, Zhang, Hua, Sun, Jiarui, Chen, Xiaolong, Li, Bingjie, Hu, Chuansong, Wu, Zhongwen, Yu, Zujiang, Kan, Quancheng, Li, Lanjuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042598/
https://www.ncbi.nlm.nih.gov/pubmed/33789966
http://dx.doi.org/10.1136/gutjnl-2020-323826
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author Ren, Zhigang
Wang, Haiyu
Cui, Guangying
Lu, Haifeng
Wang, Ling
Luo, Hong
Chen, Xinhua
Ren, Hongyan
Sun, Ranran
Liu, Wenli
Liu, Xiaorui
Liu, Chao
Li, Ang
Wang, Xuemei
Rao, Benchen
Yuan, Chengyu
Zhang, Hua
Sun, Jiarui
Chen, Xiaolong
Li, Bingjie
Hu, Chuansong
Wu, Zhongwen
Yu, Zujiang
Kan, Quancheng
Li, Lanjuan
author_facet Ren, Zhigang
Wang, Haiyu
Cui, Guangying
Lu, Haifeng
Wang, Ling
Luo, Hong
Chen, Xinhua
Ren, Hongyan
Sun, Ranran
Liu, Wenli
Liu, Xiaorui
Liu, Chao
Li, Ang
Wang, Xuemei
Rao, Benchen
Yuan, Chengyu
Zhang, Hua
Sun, Jiarui
Chen, Xiaolong
Li, Bingjie
Hu, Chuansong
Wu, Zhongwen
Yu, Zujiang
Kan, Quancheng
Li, Lanjuan
author_sort Ren, Zhigang
collection PubMed
description OBJECTIVE: To characterise the oral microbiome, gut microbiome and serum lipid profiles in patients with active COVID-19 and recovered patients; evaluate the potential of the microbiome as a non-invasive biomarker for COVID-19; and explore correlations between the microbiome and lipid profile. DESIGN: We collected and sequenced 392 tongue-coating samples, 172 faecal samples and 155 serum samples from Central China and East China. We characterised microbiome and lipid molecules, constructed microbial classifiers in discovery cohort and verified their diagnostic potential in 74 confirmed patients (CPs) from East China and 37 suspected patients (SPs) with IgG positivity. RESULTS: Oral and faecal microbial diversity was significantly decreased in CPs versus healthy controls (HCs). Compared with HCs, butyric acid-producing bacteria were decreased and lipopolysaccharide-producing bacteria were increased in CPs in oral cavity. The classifiers based on 8 optimal oral microbial markers (7 faecal microbial markers) achieved good diagnostic efficiency in different cohorts. Importantly, diagnostic efficacy reached 87.24% in the cross-regional cohort. Moreover, the classifiers successfully diagnosed SPs with IgG antibody positivity as CPs, and diagnostic efficacy reached 92.11% (98.01% of faecal microbiome). Compared with CPs, 47 lipid molecules, including sphingomyelin (SM)(d40:4), SM(d38:5) and monoglyceride(33:5), were depleted, and 122 lipid molecules, including phosphatidylcholine(36:4p), phosphatidylethanolamine (PE)(16:0p/20:5) and diglyceride(20:1/18:2), were enriched in confirmed patients recovery. CONCLUSION: This study is the first to characterise the oral microbiome in COVID-19, and oral microbiomes and lipid alterations in recovered patients, to explore their correlations and to report the successful establishment and validation of a diagnostic model for COVID-19.
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spelling pubmed-80425982021-04-13 Alterations in the human oral and gut microbiomes and lipidomics in COVID-19 Ren, Zhigang Wang, Haiyu Cui, Guangying Lu, Haifeng Wang, Ling Luo, Hong Chen, Xinhua Ren, Hongyan Sun, Ranran Liu, Wenli Liu, Xiaorui Liu, Chao Li, Ang Wang, Xuemei Rao, Benchen Yuan, Chengyu Zhang, Hua Sun, Jiarui Chen, Xiaolong Li, Bingjie Hu, Chuansong Wu, Zhongwen Yu, Zujiang Kan, Quancheng Li, Lanjuan Gut Covid-19 OBJECTIVE: To characterise the oral microbiome, gut microbiome and serum lipid profiles in patients with active COVID-19 and recovered patients; evaluate the potential of the microbiome as a non-invasive biomarker for COVID-19; and explore correlations between the microbiome and lipid profile. DESIGN: We collected and sequenced 392 tongue-coating samples, 172 faecal samples and 155 serum samples from Central China and East China. We characterised microbiome and lipid molecules, constructed microbial classifiers in discovery cohort and verified their diagnostic potential in 74 confirmed patients (CPs) from East China and 37 suspected patients (SPs) with IgG positivity. RESULTS: Oral and faecal microbial diversity was significantly decreased in CPs versus healthy controls (HCs). Compared with HCs, butyric acid-producing bacteria were decreased and lipopolysaccharide-producing bacteria were increased in CPs in oral cavity. The classifiers based on 8 optimal oral microbial markers (7 faecal microbial markers) achieved good diagnostic efficiency in different cohorts. Importantly, diagnostic efficacy reached 87.24% in the cross-regional cohort. Moreover, the classifiers successfully diagnosed SPs with IgG antibody positivity as CPs, and diagnostic efficacy reached 92.11% (98.01% of faecal microbiome). Compared with CPs, 47 lipid molecules, including sphingomyelin (SM)(d40:4), SM(d38:5) and monoglyceride(33:5), were depleted, and 122 lipid molecules, including phosphatidylcholine(36:4p), phosphatidylethanolamine (PE)(16:0p/20:5) and diglyceride(20:1/18:2), were enriched in confirmed patients recovery. CONCLUSION: This study is the first to characterise the oral microbiome in COVID-19, and oral microbiomes and lipid alterations in recovered patients, to explore their correlations and to report the successful establishment and validation of a diagnostic model for COVID-19. BMJ Publishing Group 2021-07 2021-03-31 /pmc/articles/PMC8042598/ /pubmed/33789966 http://dx.doi.org/10.1136/gutjnl-2020-323826 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Covid-19
Ren, Zhigang
Wang, Haiyu
Cui, Guangying
Lu, Haifeng
Wang, Ling
Luo, Hong
Chen, Xinhua
Ren, Hongyan
Sun, Ranran
Liu, Wenli
Liu, Xiaorui
Liu, Chao
Li, Ang
Wang, Xuemei
Rao, Benchen
Yuan, Chengyu
Zhang, Hua
Sun, Jiarui
Chen, Xiaolong
Li, Bingjie
Hu, Chuansong
Wu, Zhongwen
Yu, Zujiang
Kan, Quancheng
Li, Lanjuan
Alterations in the human oral and gut microbiomes and lipidomics in COVID-19
title Alterations in the human oral and gut microbiomes and lipidomics in COVID-19
title_full Alterations in the human oral and gut microbiomes and lipidomics in COVID-19
title_fullStr Alterations in the human oral and gut microbiomes and lipidomics in COVID-19
title_full_unstemmed Alterations in the human oral and gut microbiomes and lipidomics in COVID-19
title_short Alterations in the human oral and gut microbiomes and lipidomics in COVID-19
title_sort alterations in the human oral and gut microbiomes and lipidomics in covid-19
topic Covid-19
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042598/
https://www.ncbi.nlm.nih.gov/pubmed/33789966
http://dx.doi.org/10.1136/gutjnl-2020-323826
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