Clinical characteristics of the host DNA-removed metagenomic next-generation sequencing technology for detecting SARS-CoV-2, revealing host local immune signaling and assisting genomic epidemiology

BackgroundMetagenomic next-generation sequencing (mNGS) technology has been central in detecting infectious diseases and helping to simultaneously reveal the complex interplay between invaders and their hosts immune response characteristics. However, it needs to be rigorously assessed for clinical u...

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Main Authors: Sun Zhaoyang, Song Guowei, Pan Jing, Zhou Yundong, Lu Xinhua, Wei Muyun, Ma Xiaowei, Li Lixin, Chen Xiaoying
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Immunology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2022.1016440/full
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author Sun Zhaoyang
Song Guowei
Pan Jing
Zhou Yundong
Lu Xinhua
Wei Muyun
Ma Xiaowei
Li Lixin
Chen Xiaoying
author_facet Sun Zhaoyang
Song Guowei
Pan Jing
Zhou Yundong
Lu Xinhua
Wei Muyun
Ma Xiaowei
Li Lixin
Chen Xiaoying
author_sort Sun Zhaoyang
collection DOAJ
description BackgroundMetagenomic next-generation sequencing (mNGS) technology has been central in detecting infectious diseases and helping to simultaneously reveal the complex interplay between invaders and their hosts immune response characteristics. However, it needs to be rigorously assessed for clinical utility. The present study is the first to evaluate the clinical characteristics of the host DNA-removed mNGS technology for detecting SARS-CoV-2, revealing host local immune signaling and assisting genomic epidemiology.Methods46 swab specimens collected from COVID-19 patients were assayed by two approved commercial RT-qPCR kits and mNGS. The evolutionary tree of SARS-CoV-2 was plotted using FigTree directly from one sample. The workflow of removing the host and retaining the host was compared to investigate the influence of host DNA removal on the performances of mNGS. Functional enrichment analysis of DEGs and xCell score were used to explore the characteristics of host local immune signaling.ResultsThe detection rate of mNGS achieved 92.9% (26/28) for 28 samples with a Ct value ≤ 35 and 81.1% (30/37) for all 46 samples. The genome coverage of SARS-CoV-2 could reach up to 98.9% when the Ct value is about 20 in swab samples. Removing the host could enhance the sensitivity of mNGS for detecting SARS-CoV-2 from the swab sample but does not affect the species abundance of microbes RNA. Improving the sequencing depth did not show a positive effect on improving the detection sensitivity of SARS-CoV-2. Cell type enrichment scores found multiple immune cell types were differentially expressed between patients with high and low viral load.ConclusionsThe host DNA-removed mNGS has great potential utility and superior performance on comprehensive identification of SARS-CoV-2 and rapid traceability, revealing the microbiome’s transcriptional profiles and host immune responses.
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spelling doaj.art-0834780e10304d3a8e032d0873ba94362022-12-22T02:52:27ZengFrontiers Media S.A.Frontiers in Immunology1664-32242022-11-011310.3389/fimmu.2022.10164401016440Clinical characteristics of the host DNA-removed metagenomic next-generation sequencing technology for detecting SARS-CoV-2, revealing host local immune signaling and assisting genomic epidemiologySun Zhaoyang0Song Guowei1Pan Jing2Zhou Yundong3Lu Xinhua4Wei Muyun5Ma Xiaowei6Li Lixin7Chen Xiaoying8Department of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaDepartment of Laboratory Medicine, Shijiazhuang People’s Hospital, Shijiazhuang, ChinaDepartment of Laboratory Medicine, Shijiazhuang People’s Hospital, Shijiazhuang, ChinaShanghai Medical Innovation Fusion Biomedical Research Center, Shanghai, ChinaDepartment of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaDepartment of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaDepartment of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaDepartment of Laboratory Medicine, Shijiazhuang People’s Hospital, Shijiazhuang, ChinaDepartment of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaBackgroundMetagenomic next-generation sequencing (mNGS) technology has been central in detecting infectious diseases and helping to simultaneously reveal the complex interplay between invaders and their hosts immune response characteristics. However, it needs to be rigorously assessed for clinical utility. The present study is the first to evaluate the clinical characteristics of the host DNA-removed mNGS technology for detecting SARS-CoV-2, revealing host local immune signaling and assisting genomic epidemiology.Methods46 swab specimens collected from COVID-19 patients were assayed by two approved commercial RT-qPCR kits and mNGS. The evolutionary tree of SARS-CoV-2 was plotted using FigTree directly from one sample. The workflow of removing the host and retaining the host was compared to investigate the influence of host DNA removal on the performances of mNGS. Functional enrichment analysis of DEGs and xCell score were used to explore the characteristics of host local immune signaling.ResultsThe detection rate of mNGS achieved 92.9% (26/28) for 28 samples with a Ct value ≤ 35 and 81.1% (30/37) for all 46 samples. The genome coverage of SARS-CoV-2 could reach up to 98.9% when the Ct value is about 20 in swab samples. Removing the host could enhance the sensitivity of mNGS for detecting SARS-CoV-2 from the swab sample but does not affect the species abundance of microbes RNA. Improving the sequencing depth did not show a positive effect on improving the detection sensitivity of SARS-CoV-2. Cell type enrichment scores found multiple immune cell types were differentially expressed between patients with high and low viral load.ConclusionsThe host DNA-removed mNGS has great potential utility and superior performance on comprehensive identification of SARS-CoV-2 and rapid traceability, revealing the microbiome’s transcriptional profiles and host immune responses.https://www.frontiersin.org/articles/10.3389/fimmu.2022.1016440/fullmNGSRT-PCRSARS-CoV-2the removal of hosttraceability
spellingShingle Sun Zhaoyang
Song Guowei
Pan Jing
Zhou Yundong
Lu Xinhua
Wei Muyun
Ma Xiaowei
Li Lixin
Chen Xiaoying
Clinical characteristics of the host DNA-removed metagenomic next-generation sequencing technology for detecting SARS-CoV-2, revealing host local immune signaling and assisting genomic epidemiology
Frontiers in Immunology
mNGS
RT-PCR
SARS-CoV-2
the removal of host
traceability
title Clinical characteristics of the host DNA-removed metagenomic next-generation sequencing technology for detecting SARS-CoV-2, revealing host local immune signaling and assisting genomic epidemiology
title_full Clinical characteristics of the host DNA-removed metagenomic next-generation sequencing technology for detecting SARS-CoV-2, revealing host local immune signaling and assisting genomic epidemiology
title_fullStr Clinical characteristics of the host DNA-removed metagenomic next-generation sequencing technology for detecting SARS-CoV-2, revealing host local immune signaling and assisting genomic epidemiology
title_full_unstemmed Clinical characteristics of the host DNA-removed metagenomic next-generation sequencing technology for detecting SARS-CoV-2, revealing host local immune signaling and assisting genomic epidemiology
title_short Clinical characteristics of the host DNA-removed metagenomic next-generation sequencing technology for detecting SARS-CoV-2, revealing host local immune signaling and assisting genomic epidemiology
title_sort clinical characteristics of the host dna removed metagenomic next generation sequencing technology for detecting sars cov 2 revealing host local immune signaling and assisting genomic epidemiology
topic mNGS
RT-PCR
SARS-CoV-2
the removal of host
traceability
url https://www.frontiersin.org/articles/10.3389/fimmu.2022.1016440/full
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