Primate Monocytes - CD14, CD16 - Ziegler-Heitbrock


Immunological Biomarkers of Fatal COVID-19: A Study of 868 Patients.


Information on the immunopathobiology of coronavirus disease 2019 (COVID-19) is rapidly increasing; however, there remains a need to identify immune features predictive of fatal outcome. This large-scale study characterized immune responses to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection using multidimensional flow cytometry, with the aim of identifying high-risk immune biomarkers. Holistic and unbiased analyses of 17 immune cell-types were conducted on 1,075 peripheral blood samples obtained from 868 COVID-19 patients and on samples from 24 patients presenting with non-SARS-CoV-2 infections and 36 healthy donors. Immune profiles of COVID-19 patients were significantly different from those of age-matched healthy donors but generally similar to those of patients with non-SARS-CoV-2 infections. Unsupervised clustering analysis revealed three immunotypes during SARS-CoV-2 infection; immunotype 1 (14% of patients) was characterized by significantly lower percentages of all immune cell-types except neutrophils and circulating plasma cells, and was significantly associated with severe disease. Reduced B-cell percentage was most strongly associated with risk of death. On multivariate analysis incorporating age and comorbidities, B-cell and non-classical monocyte percentages were independent prognostic factors for survival in training (n=513) and validation (n=355) cohorts. Therefore, reduced percentages of B-cells and non-classical monocytes are high-risk immune biomarkers for risk-stratification of COVID-19 patients.

Authors: Martín-Sánchez E, Garcés JJ, Maia C, Inogés S, López-Díaz de Cerio A, Carmona-Torre F, Marin-Oto M, Alegre F, Molano E, Fernandez-Alonso M, Perez C, Botta C, Zabaleta A, Alcaide AB, Landecho MF, Rua M, Pérez-Warnisher T, Blanco L, Sarvide S, Vilas-Zornoza
Journal: Front Immunol; 2021 ; 12 659018. doi:10.3389/fimmu.2021.659018
Year: 2021
PubMed: PMID: 34012444 (Go to PubMed)