Immunological Biomarkers of Fatal COVID-19: A Study of 868 Patients
- Authors: Martin-Sanchez E.; Garces J.J.; Maia C.; Inoges S.; Lopez-Diaz de Cerio A.; Carmona-Torre F.; Marin-Oto M.; Alegre F.; Molano E.; Fernandez-Alonso M.; Perez C.; Botta C.; Zabaleta A.; Alcaide A.B.; Landecho M.F.; Rua M.; Perez-Warnisher T.; Blanco L.; Sarvide S.; Vilas-Zornoza A.; Alignani D.; Moreno C.; Pineda I.; Sogbe M.; Argemi J.; Paiva B.; Yuste J.R.
- Publication year: 2021
- Type: Articolo in rivista
- OA Link: http://hdl.handle.net/10447/512419
Abstract
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.