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About:
Metagenomic analysis reveals clinical SARS-CoV-2 infection and bacterial or viral superinfection and colonization
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An Entity of Type :
schema:ScholarlyArticle
, within Data Space :
covidontheweb.inria.fr
associated with source
document(s)
Type:
Academic Article
research paper
schema:ScholarlyArticle
New Facet based on Instances of this Class
Attributes
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Metagenomic analysis reveals clinical SARS-CoV-2 infection and bacterial or viral superinfection and colonization
Creator
Jerome, Keith
Nalla, Arun
Perchetti, Garrett
Huang, Meei-Li
Minot, Samuel
Roychoudhury, Pavitra
Shean, Ryan
Reinhardt, Adam
Shrestha, Lasata
Xie, Hong
Greninger,
Peddu, Vikas
Phung, Quynh
Reddy, Shriya
Source
Medline; PMC
abstract
BACKGROUND: More than two months separated the initial description of SARS-CoV-2 and discovery of its widespread dissemination in the United States. Despite this lengthy interval, implementation of specific quantitative reverse transcription (qRT)-PCR-based SARS-CoV-2 tests in the US has been slow, and testing is still not widely available. Metagenomic sequencing offers the promise of unbiased detection of emerging pathogens, without requiring prior knowledge of the identity of the responsible agent or its genomic sequence. METHODS: To evaluate metagenomic approaches in the context of the current SARS-CoV-2 epidemic, laboratory-confirmed positive and negative samples from Seattle, Washington were evaluated by metagenomic sequencing, with comparison to a 2019 reference genomic database created before the emergence of SARS-CoV-2. RESULTS: Within 36 hours our results showed clear identification of a novel human Betacoronavirus, closely related to known Betacoronaviruses of bats, in laboratory-proven cases of SARS-CoV-2. A subset of samples also showed superinfection or colonization with human parainfluenza virus 3 or Moraxella species, highlighting the need to test directly for SARS-CoV-2 as opposed to ruling out an infection using a viral respiratory panel. Samples negative for SARS-CoV-2 by RT-PCR were also negative by metagenomic analysis, and positive for Rhinovirus A and C. Unlike targeted SARS-CoV-2 qRT-PCR testing, metagenomic analysis of these SARS-CoV-2 negative samples identified candidate etiological agents for the patients’ respiratory symptoms. CONCLUSION: Taken together, these results demonstrate the value of metagenomic analysis in the monitoring and response to this and future viral pandemics.
has issue date
2020-05-07
(
xsd:dateTime
)
bibo:doi
10.1093/clinchem/hvaa106
bibo:pmid
32379863
has license
no-cc
sha1sum (hex)
6fca64fc4a6ac016e333ddf9fac87a1bf222917e
schema:url
https://doi.org/10.1093/clinchem/hvaa106
resource representing a document's title
Metagenomic analysis reveals clinical SARS-CoV-2 infection and bacterial or viral superinfection and colonization
has PubMed Central identifier
PMC7239240
has PubMed identifier
32379863
schema:publication
Clin Chem
resource representing a document's body
covid:6fca64fc4a6ac016e333ddf9fac87a1bf222917e#body_text
is
schema:about
of
named entity 'More'
named entity 'type 3'
named entity 'Despite'
named entity 'next-generation sequencing'
named entity 'Reads'
named entity 'specific'
named entity 'United States'
named entity 'RPM'
named entity 'SARS-CoV-2'
named entity 'reverse transcription'
named entity 'infection'
named entity 'Metagenomic analysis'
named entity 'Severe acute respiratory syndrome-related coronavirus'
named entity 'genome'
named entity 'SARS-CoV-2'
named entity 'sequence homology'
named entity 'clade'
named entity 'Clinical Virology'
named entity 'Cutibacterium acnes'
named entity 'next-generation sequencing'
named entity 'SARS-CoV-2'
named entity 'comorbidities'
named entity 'metagenomic sequencing'
named entity 'genome'
named entity 'RPM'
named entity 'United States'
named entity 'mortality risk'
named entity 'rhinovirus'
named entity 'qRT-PCR'
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named entity 'metagenomic'
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named entity 'Bowtie2'
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named entity 'genomes'
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named entity 'A71'
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named entity 'Mitochondrial'
named entity 'Illumina MiSeq'
named entity 'RPM'
named entity 'SARS-CoV-2'
named entity 'bioinformatician'
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named entity 'elderly patients'
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named entity 'Epidemiological'
named entity 'SARS-CoV-2'
named entity 'board-certified'
named entity 'clinical complications'
named entity 'emerging infectious diseases'
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