A neutrophil activation signature predicts critical illness and mortality in COVID-19

Author:

Meizlish Matthew L.1ORCID,Pine Alexander B.2ORCID,Bishai Jason D.34ORCID,Goshua George2,Nadelmann Emily R.5,Simonov Michael67,Chang C-Hong3,Zhang Hanming3ORCID,Shallow Marcus3ORCID,Bahel Parveen8,Owusu Kent9ORCID,Yamamoto Yu6ORCID,Arora Tanima6ORCID,Atri Deepak S.10ORCID,Patel Amisha2,Gbyli Rana2,Kwan Jennifer3,Won Christine H.11,Dela Cruz Charles11,Price Christina12,Koff Jonathan11,King Brett A.12ORCID,Rinder Henry M.28,Wilson F. Perry6ORCID,Hwa John3ORCID,Halene Stephanie2,Damsky William7,van Dijk David3ORCID,Lee Alfred I.2,Chun Hyung J.3ORCID

Affiliation:

1. Department of Immunobiology,

2. Section of Hematology, Department of Internal Medicine,

3. Yale Cardiovascular Research Center, Section of Cardiovascular Medicine, Department of Internal Medicine, and

4. Department of Microbial Pathogenesis, Yale School of Medicine, New Haven, CT;

5. Albert Einstein College of Medicine, Bronx, NY;

6. Clinical and Translational Research Accelerator, Department of Internal Medicine,

7. Department of Dermatology, and

8. Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT;

9. Department of Pharmacy, Yale New Haven Health System, New Haven, CT;

10. Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, MA; and

11. Section of Section of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, and

12. Section of Immunology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT

Abstract

Abstract Pathologic immune hyperactivation is emerging as a key feature of critical illness in COVID-19, but the mechanisms involved remain poorly understood. We carried out proteomic profiling of plasma from cross-sectional and longitudinal cohorts of hospitalized patients with COVID-19 and analyzed clinical data from our health system database of more than 3300 patients. Using a machine learning algorithm, we identified a prominent signature of neutrophil activation, including resistin, lipocalin-2, hepatocyte growth factor, interleukin-8, and granulocyte colony-stimulating factor, which were the strongest predictors of critical illness. Evidence of neutrophil activation was present on the first day of hospitalization in patients who would only later require transfer to the intensive care unit, thus preceding the onset of critical illness and predicting increased mortality. In the health system database, early elevations in developing and mature neutrophil counts also predicted higher mortality rates. Altogether, these data suggest a central role for neutrophil activation in the pathogenesis of severe COVID-19 and identify molecular markers that distinguish patients at risk of future clinical decompensation.

Publisher

American Society of Hematology

Subject

Hematology

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