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A specific low-density neutrophil population correlates with hypercoagulation and disease severity in hospitalized COVID-19 patients
Samantha M. Morrissey, … , Jiapeng Huang, Jun Yan
Samantha M. Morrissey, … , Jiapeng Huang, Jun Yan
Published May 10, 2021
Citation Information: JCI Insight. 2021;6(9):e148435. https://doi.org/10.1172/jci.insight.148435.
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Research Article COVID-19 Immunology

A specific low-density neutrophil population correlates with hypercoagulation and disease severity in hospitalized COVID-19 patients

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Abstract

SARS coronavirus 2 (SARS-CoV-2) is a novel viral pathogen that causes a clinical disease called coronavirus disease 2019 (COVID-19). Although most COVID-19 cases are asymptomatic or involve mild upper respiratory tract symptoms, a significant number of patients develop severe or critical disease. Patients with severe COVID-19 commonly present with viral pneumonia that may progress to life-threatening acute respiratory distress syndrome (ARDS). Patients with COVID-19 are also predisposed to venous and arterial thromboses that are associated with a poorer prognosis. The present study identified the emergence of a low-density inflammatory neutrophil (LDN) population expressing intermediate levels of CD16 (CD16Int) in patients with COVID-19. These cells demonstrated proinflammatory gene signatures, activated platelets, spontaneously formed neutrophil extracellular traps, and enhanced phagocytic capacity and cytokine production. Strikingly, CD16Int neutrophils were also the major immune cells within the bronchoalveolar lavage fluid, exhibiting increased CXCR3 but loss of CD44 and CD38 expression. The percentage of circulating CD16Int LDNs was associated with D-dimer, ferritin, and systemic IL-6 and TNF-α levels and changed over time with altered disease status. Our data suggest that the CD16Int LDN subset contributes to COVID-19–associated coagulopathy, systemic inflammation, and ARDS. The frequency of that LDN subset in the circulation could serve as an adjunct clinical marker to monitor disease status and progression.

Authors

Samantha M. Morrissey, Anne E. Geller, Xiaoling Hu, David Tieri, Chuanlin Ding, Christopher K. Klaes, Elizabeth A. Cooke, Matthew R. Woeste, Zachary C. Martin, Oscar Chen, Sarah E. Bush, Huang-ge Zhang, Rodrigo Cavallazzi, Sean P. Clifford, James Chen, Smita Ghare, Shirish S. Barve, Lu Cai, Maiying Kong, Eric C. Rouchka, Kenneth R. McLeish, Silvia M. Uriarte, Corey T. Watson, Jiapeng Huang, Jun Yan

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Figure 1

The identification of a CD16 intermediate low-density neutrophil population in COVID-19 patients.

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The identification of a CD16 intermediate low-density neutrophil populat...
(A) The averaged percentage of CD16-negative (CD16Neg), CD16 intermediate (CD16Int), and CD16 high (CD16hi) neutrophils from serially drawn whole blood samples among healthy donors (HD, n = 6), comorbid control patients (Cm Ctrl, n = 9), and moderate (n = 24) and severe (n = 12) COVID-19 patients. Cells were gated on the CD45+CD66b+ population. Summarized data and representative dot plots are shown. (B) Cluster maps for moderate and severe COVID-19 patients compared with HD and Cm Ctrl. The data were generated from CyTOF-based analysis of CD45+ PBMCs isolated from peripheral blood. (C) Representative dot plots (left) and summarized data (right) showing the overall percentage of CD66b+ neutrophils (gated on viable, CD45+) and the CD16Int subset as found in Ficoll-isolated PBMCs analyzed using CyTOF mass cytometry in HD, Cm Ctrl, and moderate and severe COVID-19 patients. (D) Representative viSNE cluster plots show the CD66b (left) and CD16 (right) expression within the CD45+ PBMC populations in Cm Ctrl and patients with moderate and severe COVID-19. Red circles indicate the location of the neutrophil population; blue circles indicate the CD16Int neutrophil population. Data are presented as mean ± SD. P values were determined using 1-way ANOVA with multiple comparisons. **P < 0.01, ***P < 0.001, ****P < 0.0001.

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