Single-cell analyses and host genetics highlight the role of innate immune cells in COVID-19 severity.
Ryuya EdahiroYuya ShiraiYusuke TakeshimaShuhei SakakibaraYuta YamaguchiTeruaki MurakamiTakayoshi MoritaYasuhiro KatoYu-Chen LiuDaisuke MotookaYoko NaitoAyako TakuwaFuminori SugiharaKentaro TanakaJames Badger WingKyuto SoneharaYoshihiko Tomofujinull nullHo NamkoongHiromu TanakaHo LeeKoichi FukunagaHaruhiko HirataYoshito TakedaDaisuke OkuzakiAtsushi KumanogohYukinori OkadaPublished in: Nature genetics (2023)
Mechanisms underpinning the dysfunctional immune response in severe acute respiratory syndrome coronavirus 2 infection are elusive. We analyzed single-cell transcriptomes and T and B cell receptors (BCR) of >895,000 peripheral blood mononuclear cells from 73 coronavirus disease 2019 (COVID-19) patients and 75 healthy controls of Japanese ancestry with host genetic data. COVID-19 patients showed a low fraction of nonclassical monocytes (ncMono). We report downregulated cell transitions from classical monocytes to ncMono in COVID-19 with reduced CXCL10 expression in ncMono in severe disease. Cell-cell communication analysis inferred decreased cellular interactions involving ncMono in severe COVID-19. Clonal expansions of BCR were evident in the plasmablasts of patients. Putative disease genes identified by COVID-19 genome-wide association study showed cell type-specific expressions in monocytes and dendritic cells. A COVID-19-associated risk variant at the IFNAR2 locus (rs13050728) had context-specific and monocyte-specific expression quantitative trait loci effects. Our study highlights biological and host genetic involvement of innate immune cells in COVID-19 severity.
Keyphrases
- coronavirus disease
- sars cov
- single cell
- respiratory syndrome coronavirus
- dendritic cells
- immune response
- genome wide association study
- genome wide
- rna seq
- chronic kidney disease
- poor prognosis
- acute lymphoblastic leukemia
- regulatory t cells
- high throughput
- newly diagnosed
- peripheral blood
- end stage renal disease
- cell therapy
- healthcare
- gene expression
- early onset
- drug induced
- prognostic factors
- machine learning
- chronic myeloid leukemia
- big data
- stem cells
- copy number
- toll like receptor
- endothelial cells
- patient reported
- mass spectrometry
- inflammatory response