Your browser doesn't support javascript.
loading
Single cell transcriptomic re-analysis of immune cells in bronchoalveolar lavage fluids reveals the correlation of B cell characteristics and disease severity of patients with SARS-CoV-2 infection
Chae Won Kim; Ji Eun Oh; Heung Kyu Lee.
Affiliation
  • Chae Won Kim; Korea Advanced Institute of Science and Technology
  • Ji Eun Oh; Korea Advanced Institute of Science and Technology
  • Heung Kyu Lee; Korea Advanced Institute of Science and Technology
Preprint in English | bioRxiv | ID: ppbiorxiv-374272
ABSTRACT
The COVID-19 pandemic (SARS-CoV-2) is a global infectious disease with rapid spread. Some patients have severe symptoms and clinical signs caused by an excessive inflammatory response, which increases the risk of mortality. In this study, we reanalyzed scRNA-seq data of cells from bronchoalveolar lavage fluids of patients with COVID-19 with mild and severe symptoms, focusing on antibody-producing cells. In patients with severe disease, B cells seemed to be more activated and expressed more immunoglobulin genes compared with cells from patients with mild disease, and macrophages expressed higher levels of the TNF superfamily member B-cell activating factor but not of APRIL (a proliferation-inducing ligand). In addition, macrophages from patients with severe disease had increased pro-inflammatory features and pathways associated with Fc receptor-mediated signaling, compared with patients with mild disease. CCR2-positive plasma cells accumulated in patients with severe disease, probably because of increased CCL2 expression on macrophages from patients with severe disease. Together, these results support that different characteristics of B cells might affect the severity of COVID-19 infection.
License
cc_by_nc_nd
Full text: Available Collection: Preprints Database: bioRxiv Type of study: Prognostic study Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: bioRxiv Type of study: Prognostic study Language: English Year: 2020 Document type: Preprint
...