Facets (new session)
Description
Metadata
Settings
owl:sameAs
Inference Rule:
b3s
b3sifp
dbprdf-label
facets
http://dbpedia.org/resource/inference/rules/dbpedia#
http://dbpedia.org/resource/inference/rules/opencyc#
http://dbpedia.org/resource/inference/rules/umbel#
http://dbpedia.org/resource/inference/rules/yago#
http://dbpedia.org/schema/property_rules#
http://www.ontologyportal.org/inference/rules/SUMO#
http://www.ontologyportal.org/inference/rules/WordNet#
http://www.w3.org/2002/07/owl#
ldp
oplweb
skos-trans
virtrdf-label
None
About:
Evaluation of Nucleocapsid and Spike Protein-based ELISAs for detecting antibodies against SARS-CoV-2
Goto
Sponge
NotDistinct
Permalink
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
Values
type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Evaluation of Nucleocapsid and Spike Protein-based ELISAs for detecting antibodies against SARS-CoV-2
Creator
Liu, Lei
Tan, Li
Wang, Qiongshu
Ding, Yinjuan
Kou, Guomei
Liu, Wanbing
Ni, Wenxu
Tang, Shi
Wu, Wanlei
Zheng, Shangen
Zheng, Yaqiong
Xiong, Zhou
Source
MedRxiv
abstract
Background: At present, PCR-based nucleic acid detection cannot meet the demands for coronavirus infectious disease (COVID-19) diagnosis. Methods: 214 confirmed COVID-19 patients who were hospitalized in the General Hospital of Central Theater Command of the People's Liberation Army between January 18 and February 26, 2020, were recruited. Two Enzyme-Linked Immunosorbent Assay (ELISA) kits based on recombinant SARS-CoV-2 nucleocapsid protein (rN) and spike protein (rS) were used for detecting IgM and IgG antibodies, and their diagnostic feasibility was evaluated. Results: Among the 214 patients, 146 (68.2%) and 150 (70.1%) were successfully diagnosed with the rN-based IgM and IgG ELISAs, respectively; 165 (77.1%) and 159 (74.3%) were successfully diagnosed with the rS-based IgM and IgG ELISAs, respectively. The positive rates of the rN-based and rS-based ELISAs for antibody (IgM and/or IgG) detection were 80.4% and 82.2%, respectively. The sensitivity of the rS-based ELISA for IgM detection was significantly higher than that of the rN-based ELISA. We observed an increase in the positive rate for IgM and IgG with an increasing number of days post-disease onset (d.p.o.), but the positive rate of IgM dropped after 35 d.p.o. The positive rate of rN-based and rS-based IgM and IgG ELISAs was less than 60% during the early stage of the illness 0-10 d.p.o., and that of IgM and IgG was obviously increased after 10 d.p.o. Conclusions: ELISA has a high sensitivity, especially for the detection of serum samples from patients after 10 d.p.o, it can be an important supplementary method for COVID-19 diagnosis.
has issue date
2020-03-20
(
xsd:dateTime
)
bibo:doi
10.1101/2020.03.16.20035014
has license
medrxiv
sha1sum (hex)
43102c2a4af46ae690f823d77401913f113f092d
schema:url
https://doi.org/10.1101/2020.03.16.20035014
resource representing a document's title
Evaluation of Nucleocapsid and Spike Protein-based ELISAs for detecting antibodies against SARS-CoV-2
resource representing a document's body
covid:43102c2a4af46ae690f823d77401913f113f092d#body_text
is
schema:about
of
named entity 'acid'
named entity 'coronavirus'
named entity 'nucleic acid detection'
named entity 'COVID'
named entity 'Nucleocapsid'
named entity 'ELISAs'
named entity 'serologic'
named entity 'ELISAs'
named entity 'SARS-CoV-2'
named entity 'antibodies'
named entity 'd.p.o.'
named entity 'IgG'
named entity 'serum'
named entity 'preprint'
named entity 'IgG'
named entity 'COVID'
named entity 'preprint'
named entity 'medRxiv'
named entity 'CC-BY-NC-ND 4.0'
named entity 'preprint'
named entity 'medRxiv'
named entity 'infectious disease'
named entity 'peer-reviewed'
named entity 'China'
named entity 'receptor'
named entity 'CC-BY-NC-ND 4.0'
named entity 'antibodies'
named entity 'protein'
named entity 'preprint'
named entity 'ELISAs'
named entity 'medRxiv'
named entity 'IgM'
named entity 'CC-BY-NC-ND 4.0'
named entity 'preprint'
named entity 'preprint'
named entity 'RBD'
named entity 'protein'
named entity 'IgM'
named entity 'peer-reviewed'
named entity 'IgM'
named entity 'medRxiv'
named entity 'nucleocapsid'
named entity 'incubation'
named entity 'Europe'
named entity 'peer-reviewed'
named entity 'negative control'
named entity 'antibodies'
named entity 'serum'
named entity 'IgM'
named entity 'immunoassays'
named entity 'peer-reviewed'
named entity 'preprint'
named entity 'angiotensin-converting enzyme 2'
named entity 'structural proteins'
named entity 'ACE2'
named entity 'SARS-CoV-2'
named entity 'immunogenic'
named entity 'IgG'
named entity 'medRxiv'
named entity 'IgG'
named entity 'IgG'
named entity 'pathogens'
named entity 'RBD'
named entity 'peer-reviewed'
named entity 'medRxiv'
named entity 'preprint'
named entity 'China'
named entity 'coronavirus 2'
named entity 'preprint'
named entity 'IgG'
named entity 'preprint'
named entity 'ORFs'
named entity 'preprint'
named entity 'COVID-19'
◂◂ First
◂ Prev
Next ▸
Last ▸▸
Page 1 of 4
Go
Faceted Search & Find service v1.13.91 as of Mar 24 2020
Alternative Linked Data Documents:
Sponger
|
ODE
Content Formats:
RDF
ODATA
Microdata
About
OpenLink Virtuoso
version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software