About: T cell subset counts in peripheral blood can be used as discriminatory biomarkers for diagnosis and severity prediction of COVID-19

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About: T cell subset counts in peripheral blood can be used as discriminatory biomarkers for diagnosis and severity prediction of COVID-19 Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	T cell subset counts in peripheral blood can be used as discriminatory biomarkers for diagnosis and severity prediction of COVID-19
Creator	Zhao, Rui Luo, Qing Guo, Yang Jiang, Mei China, P Huang, Zikun Jie, Yongwai Le, Aiping Li, Junming Liu, Shuyuan Wan, Lagen
Source	Medline; PMC
abstract	This study evaluated the significance of lymphocyte subsets detection in peripheral blood in the diagnosis and prognosis of coronavirus disease 2019 (COVID-19). Our results revealed that CD3+T, CD4+T, CD8+T cells and NK cells were significantly decreased in COVID-19 patients. COVID-19 patients had a relatively slight decrease in CD4+T cells but a severe decrease of CD8+T cells. The significantly elevated CD4/CD8 ratio was observed in COVID-19 patients. T cell subset counts were related to the severity and prognosis of COVID-19. The counts of CD8+T and CD4+T cells can be used as diagnostic markers of COVID-19 and predictors of disease severity.
has issue date	2020-05-07(xsd:dateTime)
bibo:doi	10.1093/infdis/jiaa252
bibo:pmid	32379887
has license	no-cc
sha1sum (hex)	ce25390a4d5ae93dbb73bb6deb5e73a45abaaa9a
schema:url	https://doi.org/10.1093/infdis/jiaa252
resource representing a document's title	T cell subset counts in peripheral blood can be used as discriminatory biomarkers for diagnosis and severity prediction of COVID-19
has PubMed Central identifier	PMC7239156
has PubMed identifier	32379887
schema:publication	J Infect Dis
resource representing a document's body	covid:ce25390a4d5ae93dbb73bb6deb5e73a45abaaa9a#body_text
is schema:about of	named entity 'CD8+' named entity 'T cell' named entity 'patients' named entity 'COVID-19' named entity 'BUT' named entity 'DIAGNOSIS' named entity 'SEVERITY' covid:arg/ce25390a4d5ae93dbb73bb6deb5e73a45abaaa9a named entity 'counts' named entity 'subset' named entity 'slight' named entity 'T cells' named entity 'T cells' named entity 'NK cells' named entity 'T cells' named entity 'CD4' named entity 'CD8' named entity 'coronavirus disease 2019' named entity 'ICU' named entity 'COVID-19' named entity 'virus' named entity 'statistical difference' named entity 'ICU' named entity 'CD8' named entity 'prognosis' named entity 'SARS-CoV2' named entity 'lung' named entity 'SARS' named entity 'NK cells' named entity 'pneumonia' named entity 'SARS' named entity 'control group' named entity 'viruses' named entity 'CD4+T cells' named entity 'Treg cells' named entity 'anticoagulated' named entity 'sample size' named entity 'severe acute respiratory syndrome coronavirus 2' named entity 'Treg' named entity 'T-cell' named entity 'CD8+ T cells' named entity 'COVID' named entity 'COVID-19' named entity 'COVID' named entity 'COVID' named entity 'COVID' named entity 'nucleic acid test' named entity 'CD4+T cells' named entity 'COVID' named entity 'COVID' named entity 'COVID-19' named entity 'Informed consent' named entity 'lymphocyte subsets' named entity 'CD8' named entity 'COVID' named entity 'Treg' named entity 'SARS-CoV' named entity 'COVID' named entity 'Epstein-Barr' named entity 'coronavirus' named entity 'Treg' named entity 'nucleic acid test' named entity 'infection' named entity 'coronavirus' named entity 'SARS-CoV2' named entity 'lymphocytes' named entity 'significant difference' named entity 'lymphocyte' named entity 'peripheral blood' named entity 'EDTA' named entity 'significant difference'

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