ABSTRACT
Age-associated changes in immune cells have been linked to an increased risk for infection. However, a global and detailed characterization of the changes that human circulating immune cells undergo with age is lacking. Here, we combined scRNA-seq, mass cytometry and scATAC-seq to compare immune cell types in peripheral blood collected from young and old subjects and patients with COVID-19. We found that the immune cell landscape was reprogrammed with age and was characterized by T cell polarization from naive and memory cells to effector, cytotoxic, exhausted and regulatory cells, along with increased late natural killer cells, age-associated B cells, inflammatory monocytes and age-associated dendritic cells. In addition, the expression of genes, which were implicated in coronavirus susceptibility, was upregulated in a cell subtype-specific manner with age. Notably, COVID-19 promoted age-induced immune cell polarization and gene expression related to inflammation and cellular senescence. Therefore, these findings suggest that a dysregulated immune system and increased gene expression associated with SARS-CoV-2 susceptibility may at least partially account for COVID-19 vulnerability in the elderly.
Subject(s)
Adult , Aged , Aged, 80 and over , Humans , Middle Aged , Young Adult , Aging , Genetics , Allergy and Immunology , Betacoronavirus , CD4-Positive T-Lymphocytes , Metabolism , Cell Lineage , Chromatin Assembly and Disassembly , Coronavirus Infections , Allergy and Immunology , Cytokine Release Syndrome , Allergy and Immunology , Cytokines , Genetics , Disease Susceptibility , Flow Cytometry , Methods , Gene Expression Profiling , Gene Expression Regulation, Developmental , Gene Rearrangement , Immune System , Cell Biology , Allergy and Immunology , Immunocompetence , Genetics , Inflammation , Genetics , Allergy and Immunology , Mass Spectrometry , Methods , Pandemics , Pneumonia, Viral , Allergy and Immunology , Sequence Analysis, RNA , Single-Cell Analysis , TranscriptomeABSTRACT
Age-associated changes in immune cells have been linked to an increased risk for infection. However, a global and detailed characterization of the changes that human circulating immune cells undergo with age is lacking. Here, we combined scRNA-seq, mass cytometry and scATAC-seq to compare immune cell types in peripheral blood collected from young and old subjects and patients with COVID-19. We found that the immune cell landscape was reprogrammed with age and was characterized by T cell polarization from naive and memory cells to effector, cytotoxic, exhausted and regulatory cells, along with increased late natural killer cells, age-associated B cells, inflammatory monocytes and age-associated dendritic cells. In addition, the expression of genes, which were implicated in coronavirus susceptibility, was upregulated in a cell subtype-specific manner with age. Notably, COVID-19 promoted age-induced immune cell polarization and gene expression related to inflammation and cellular senescence. Therefore, these findings suggest that a dysregulated immune system and increased gene expression associated with SARS-CoV-2 susceptibility may at least partially account for COVID-19 vulnerability in the elderly.
Subject(s)
Adult , Aged , Aged, 80 and over , Humans , Middle Aged , Young Adult , Aging , Genetics , Allergy and Immunology , Betacoronavirus , CD4-Positive T-Lymphocytes , Metabolism , Cell Lineage , Chromatin Assembly and Disassembly , Coronavirus Infections , Allergy and Immunology , Cytokine Release Syndrome , Allergy and Immunology , Cytokines , Genetics , Disease Susceptibility , Flow Cytometry , Methods , Gene Expression Profiling , Gene Expression Regulation, Developmental , Gene Rearrangement , Immune System , Cell Biology , Allergy and Immunology , Immunocompetence , Genetics , Inflammation , Genetics , Allergy and Immunology , Mass Spectrometry , Methods , Pandemics , Pneumonia, Viral , Allergy and Immunology , Sequence Analysis, RNA , Single-Cell Analysis , TranscriptomeABSTRACT
Age-associated changes in immune cells have been linked to an increased risk for infection. However, a global and detailed characterization of the changes that human circulating immune cells undergo with age is lacking. Here, we combined scRNA-seq, mass cytometry and scATAC-seq to compare immune cell types in peripheral blood collected from young and old subjects and patients with COVID-19. We found that the immune cell landscape was reprogrammed with age and was characterized by T cell polarization from naive and memory cells to effector, cytotoxic, exhausted and regulatory cells, along with increased late natural killer cells, age-associated B cells, inflammatory monocytes and age-associated dendritic cells. In addition, the expression of genes, which were implicated in coronavirus susceptibility, was upregulated in a cell subtype-specific manner with age. Notably, COVID-19 promoted age-induced immune cell polarization and gene expression related to inflammation and cellular senescence. Therefore, these findings suggest that a dysregulated immune system and increased gene expression associated with SARS-CoV-2 susceptibility may at least partially account for COVID-19 vulnerability in the elderly.
Subject(s)
Adult , Aged , Aged, 80 and over , Humans , Middle Aged , Young Adult , Aging , Genetics , Allergy and Immunology , Betacoronavirus , CD4-Positive T-Lymphocytes , Metabolism , Cell Lineage , Chromatin Assembly and Disassembly , Coronavirus Infections , Allergy and Immunology , Cytokine Release Syndrome , Allergy and Immunology , Cytokines , Genetics , Disease Susceptibility , Flow Cytometry , Methods , Gene Expression Profiling , Gene Expression Regulation, Developmental , Gene Rearrangement , Immune System , Cell Biology , Allergy and Immunology , Immunocompetence , Genetics , Inflammation , Genetics , Allergy and Immunology , Mass Spectrometry , Methods , Pandemics , Pneumonia, Viral , Allergy and Immunology , Sequence Analysis, RNA , Single-Cell Analysis , TranscriptomeABSTRACT
Objective To investigate the clinical factors and therapeutic tactic for rebleeding of hypertensive hemorrhage after minimally invasive craniopuncture.Methods Clinical data of 213 cases were reviewed retrospectively.8 possible factors were gathered to select the high-risk ones by multiple-factor Logistic regression analysis.Results 27 cases bled after minimally invasive craniopuncture therapy.By Logistic regression analysis,we found 4 high-risk factors of recurrence hemorrhage,including hematoma shape (β =2.236,P =0.002),systolic blood pressure on admission (β =1.877,P =0.001),operation time (β =-1.589,P =0.004) and hematoma clearance (β =1.280,P =0.010).Conclusion Paying more attention to the 4 factors and treating each patient by individual therapeutic tactic according to the 4 factors will help to decrease the incidence of bleeding after minimally invasive craniopuncture.