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Identification of Neutrophil-Related Factor LCN2 for Predicting Severity of Patients With Influenza A Virus and SARS-CoV-2 Infection

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单位: [1]Chinese Acad Med Sci, Peking Union Med Coll, Grad Sch, Beijing, Peoples R China [2]China Japan Friendship Hosp, Ctr Resp Dis, Dept Pulm & Crit Care Med, Beijing, Peoples R China [3]Shandong First Med Univ, Shandong Prov Hosp, Dept Resp & Crit Care Med, Jinan, Peoples R China [4]Capital Med Univ, Clin Ctr Pulm Infect, Natl Clin Res Ctr Resp Dis, China Japan Friendship Hosp, Beijing, Peoples R China
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关键词: severe infection inflammatory response Lipocalin 2 IAV SARS-CoV-2

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BackgroundInfluenza and COVID-19 are respiratory infectious diseases that are characterized by high contagiousness and high mutation and pose a serious threat to global health. After Influenza A virus (IAV) and SARS-CoV-2 infection, severe cases may develop into acute lung injury. Immune factors act as an important role during infection and inflammation. However, the molecular immune mechanisms still remain unclear. We aimed to explore immune-related host factors and core biomarker for severe infection, to provide a new therapeutic target of host factor in patients. MethodsGene expression profiles were obtained from Gene Expression Omnibus and the Seurat R package was used for data process of single-cell transcriptome. Differentially expressed gene analysis and cell cluster were used to explore core host genes and source cells of genes. We performed Gene Ontology enrichment, Kyoto Encyclopedia of Genes and Genomes analysis, and gene set enrichment analysis to explore potential biological functions of genes. Gene set variation analysis was used to evaluate the important gene set variation score for different samples. We conduct Enzyme-linked immunosorbent assay (ELISA) to test plasma concentrations of Lipocalin 2 (LCN2). ResultsMultiple virus-related, cytokine-related, and chemokine-related pathways involved in process of IAV infection and inflammatory response mainly derive from macrophages and neutrophils. LCN2 mainly in neutrophils was significantly upregulated after either IAV or SARS-CoV-2 infection and positively correlated with disease severity. The plasma LCN2 of influenza patients were elevated significantly compared with healthy controls by ELISA and positively correlated with disease severity of influenza patients. Further bioinformatics analysis revealed that LCN2 involved in functions of neutrophils, including neutrophil degranulation, neutrophil activation involved in immune response, and neutrophil extracellular trap formation. ConclusionThe neutrophil-related LCN2 could be a promising biomarker for predicting severity of patients with IAV and SARS-CoV-2 infection and may as a new treatment target in severe patients.

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出版当年[2021]版:
大类 | 2 区 生物学
小类 | 2 区 微生物学
最新[2025]版:
大类 | 2 区 生物学
小类 | 3 区 微生物学
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出版当年[2020]版:
Q1 MICROBIOLOGY
最新[2023]版:
Q2 MICROBIOLOGY

影响因子: 最新[2023版] 最新五年平均[2021-2025] 出版当年[2020版] 出版当年五年平均[2016-2020] 出版前一年[2019版] 出版后一年[2021版]

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第一作者单位: [1]Chinese Acad Med Sci, Peking Union Med Coll, Grad Sch, Beijing, Peoples R China [2]China Japan Friendship Hosp, Ctr Resp Dis, Dept Pulm & Crit Care Med, Beijing, Peoples R China
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通讯机构: [1]Chinese Acad Med Sci, Peking Union Med Coll, Grad Sch, Beijing, Peoples R China [2]China Japan Friendship Hosp, Ctr Resp Dis, Dept Pulm & Crit Care Med, Beijing, Peoples R China [4]Capital Med Univ, Clin Ctr Pulm Infect, Natl Clin Res Ctr Resp Dis, China Japan Friendship Hosp, Beijing, Peoples R China
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