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  • A human circulating immune cell landscape in aging and COVID-19 #MMPMID32780218
  • Zheng Y; Liu X; Le W; Xie L; Li H; Wen W; Wang S; Ma S; Huang Z; Ye J; Shi W; Ye Y; Liu Z; Song M; Zhang W; Han JJ; Belmonte JCI; Xiao C; Qu J; Wang H; Liu GH; Su W
  • Protein Cell 2020[Oct]; 11 (10): 740-770 PMID32780218show ga
  • 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.
  • |*Betacoronavirus[MESH]
  • |*Pandemics[MESH]
  • |*Single-Cell Analysis[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |Aging/genetics/*immunology[MESH]
  • |CD4-Positive T-Lymphocytes/metabolism[MESH]
  • |Cell Lineage[MESH]
  • |Chromatin Assembly and Disassembly[MESH]
  • |Coronavirus Infections/*immunology[MESH]
  • |Cytokine Release Syndrome/etiology/immunology[MESH]
  • |Cytokines/biosynthesis/genetics[MESH]
  • |Disease Susceptibility[MESH]
  • |Flow Cytometry/methods[MESH]
  • |Gene Expression Profiling[MESH]
  • |Gene Expression Regulation, Developmental[MESH]
  • |Gene Rearrangement[MESH]
  • |Humans[MESH]
  • |Immune System/cytology/growth & development/*immunology[MESH]
  • |Immunocompetence/genetics[MESH]
  • |Inflammation/genetics/immunology[MESH]
  • |Mass Spectrometry/methods[MESH]
  • |Middle Aged[MESH]
  • |Pneumonia, Viral/*immunology[MESH]
  • |Sequence Analysis, RNA[MESH]
  • |Transcriptome[MESH]
  • |Young Adult[MESH]

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  • suck abstract from ncbi

    740 10.11 2020