About: Immune Phenotyping Based on the Neutrophil-to-Lymphocyte Ratio and IgG Level Predicts Disease Severity and Outcome for Patients With COVID-19

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About: Immune Phenotyping Based on the Neutrophil-to-Lymphocyte Ratio and IgG Level Predicts Disease Severity and Outcome for Patients With COVID-19 Goto Sponge NotDistinct Permalink

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

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Immune Phenotyping Based on the Neutrophil-to-Lymphocyte Ratio and IgG Level Predicts Disease Severity and Outcome for Patients With COVID-19
Creator	Yuan, Jing Wang, Jun Zhu, Chengliang Feng, Fan Feng, Jia Jia, Qingzhu Qiu, Yanru Song, Qibin Zhang, Bicheng Zhou, Xiaoyang Zhu, Bo Feng, Qiu Feng, Song Piccaluga, Pier Song, Yuxiao
source	Medline; PMC
abstract	Introduction: A recently emerging respiratory disease named coronavirus disease 2019 (COVID-19) has quickly spread across the world. This disease is initiated by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and uncontrolled cytokine storm, but it remains unknown as to whether a robust antibody response is related to clinical deterioration and poor outcome in COVID-19 patients. Methods: Anti-SARS-CoV-2 IgG and IgM antibodies were determined by chemiluminescence analysis (CLIA) in COVID-19 patients at a single center in Wuhan. Median IgG and IgM levels in acute and convalescent-phase sera (within 35 days) for all included patients were calculated and compared between severe and non-severe patients. Immune response phenotyping based on the late IgG levels and neutrophil-to-lymphocyte ratio (NLR) was characterized to stratified patients into different disease severities and outcomes. Results: A total of 222 patients were included in this study. IgG was first detected on day 4 of illness, and its peak levels occurred in the fourth week. Severe cases were more frequently found in patients with high IgG levels, compared to those with low IgG levels (51.8 vs. 32.3%; p = 0.008). Severity rates for patients with NLR(hi)IgG(hi), NLR(hi)IgG(lo), NLR(lo)IgG(hi), and NLR(lo)IgG(lo) phenotype were 72.3, 48.5, 33.3, and 15.6%, respectively (p < 0.0001). Furthermore, severe patients with NLR(hi)IgG(hi), NLR(hi)IgG(lo) had higher inflammatory cytokines levels including IL-2, IL-6 and IL-10, and decreased CD4+ T cell count compared to those with NLR(lo)IgG(lo) phenotype (p < 0.05). Recovery rates for severe patients with NLR(hi)IgG(hi), NLR(hi)IgG(lo), NLR(lo)IgG(hi), and NLR(lo)IgG(lo) phenotype were 58.8% (20/34), 68.8% (11/16), 80.0% (4/5), and 100% (12/12), respectively (p = 0.0592). Dead cases only occurred in NLR(hi)IgG(hi) and NLR(hi)IgG(lo) phenotypes. Conclusions: COVID-19 severity is associated with increased IgG response, and an immune response phenotyping based on the late IgG response and NLR could act as a simple complementary tool to discriminate between severe and non-severe COVID-19 patients, and further predict their clinical outcome.
has issue date	2020-07-03(xsd:dateTime)
bibo:doi	10.3389/fmolb.2020.00157
bibo:pmid	32719810
has license	cc-by
sha1sum (hex)	f07331c9dd8095a00aa2cd8093bf088dad02250d
schema:url	https://doi.org/10.3389/fmolb.2020.00157
resource representing a document's title	Immune Phenotyping Based on the Neutrophil-to-Lymphocyte Ratio and IgG Level Predicts Disease Severity and Outcome for Patients With COVID-19
has PubMed Central identifier	PMC7350507
has PubMed identifier	32719810
schema:publication	Front Mol Biosci
resource representing a document's body	covid:f07331c9dd8095a00aa2cd8093bf088dad02250d#body_text
is schema:about of	named entity 'Ratio' named entity 'Lymphocyte' named entity 'IgG' named entity 'SARS-CoV-2' named entity 'IgG' named entity 'wound-healing' named entity 'NLR' named entity 'phenotype' named entity 'IgG' named entity 'SARS' named entity 'NLR' named entity 'Wuhan, China' named entity 'SARS-CoV-2' named entity 'mechanical ventilation' named entity 'Stata' named entity 'acute respiratory distress syndrome' named entity 'secondary antibody' named entity 'infection' named entity 'Research Ethics Committee' named entity 'NLR' named entity 'IgG' named entity 'RT-PCR' named entity 'immune response' named entity 'critical illness' named entity 'IgA' named entity 'intravenous' named entity 'anti-inflammatory response' named entity '5.5' named entity 'IgG' named entity 'SARS-CoV-2' named entity 'epidemiological' named entity 'lymphocyte' named entity 'China' named entity 'acquired immunity' named entity 'immunopathogenesis' named entity 'Wuhan University' named entity 'phenotype' named entity 'IFN-γ' named entity 'viral infection' named entity 'IgG' named entity 'pathogenesis' named entity 'IgG' named entity 'data analysis' named entity 'IL-10' named entity 'organ' named entity 'IgM' named entity 'corticosteroid' named entity 'Descriptive analyses' named entity 'IgG' named entity 'inflammatory cytokines' named entity 'NLR' named entity 'corticosteroid' named entity 'organ damage' named entity 'SARS-CoV-2' named entity 'immune response' named entity 'immune response' named entity 'IgM' named entity 'NLR' named entity 'NLR' named entity 'Chi-squared test' named entity 'tocilizumab' named entity 'IgG' named entity 'NLR' named entity 'PBMCs' named entity 'acquired immunity' named entity 'BD Biosciences' named entity 'humoral response'

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