Sign in
ImmunologybioRxiv
Preprint

Clinical and immunological signatures of severe COVID-19 in previously healthy patients with clonal hematopoiesis

C. K. Kang, B. Choi, S. Kim, S. Park, S. H. Yoon, D. Lee, A. Lee, Y. Ko, E. Chang, J. Jung, P. G. Choe, W. B. Park, E. S. Kim, H. B. Kim, N. J. Kim, M.-d. Oh, S. Kim, H. Im, J. Kim, K. Kang, S.-J. Kang, Y. H. Lee, J. Lee, J. Y. Lee, J. H. Moon, , I. Jung

Abstract

Identifying additional risk factors for COVID-19 severity in numerous previously healthy patients without canonical clinical risk factors remains challenging. In this study, we investigate whether clonal hematopoiesis of indeterminate potential (CHIP), a common aging-related process that predisposes various inflammatory responses, may exert COVID-19 severity. We examine the clinical impact of CHIP in 143 laboratory-confirmed COVID-19 patients. Both stratified analyses and logistic regression including the interaction between canonical risk factors and CHIP show that CHIP is an independent risk factor for severe COVID-19, especially in previously healthy patients. Analyses of 60,310 single-cell immune transcriptome profiles identify distinct immunological signatures for CHIP (+) severe COVID-19 patients, particularly in classical monocytes, with a marked increase in pro-inflammatory cytokine responses and potent IFN-{gamma} mediated hyperinflammation signature. We further demonstrate that the enhanced expression of CHIP (+) specific IFN-{gamma} response genes is attributed to the CHIP mutation-dependent epigenetic reprogramming of poised or bivalent cis-regulatory elements. Our results highlight a unique immunopathogenic mechanism of CHIP in the progression of severe COVID-19, which could be extended to elucidate how CHIP contributes to a variety of human infectious diseases.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.