Immunocytometric analysis of COVID patients: A contribution to personalized therapy?
- PMID: 32871183
- PMCID: PMC7456265
- DOI: 10.1016/j.lfs.2020.118355
Immunocytometric analysis of COVID patients: A contribution to personalized therapy?
Abstract
Aims: This study aims to cast light on immunocytometric alterations in COVID-19, a potentially fatal viral infection with heterogeneous clinical expression and a not completely defined pathophysiology.
Methods: We studied 35 COVID patients at hospital admission testing by cytofluorimetry a large panel of lymphocyte subpopulations and serum tumor necrosis factor (TNF)-α, interleukin (IL)-6, IL-17A and the soluble receptor of IL-17A (IL-17RA).
Key findings: At hospital admission, total lymphocytes and most T and B subpopulations were reduced in 50-80% of patients, with close relationship to disease severity. While activated T helper 1 (TH1) and TH17 cells resulted normal or higher. Serum IL-6 was increased in all patients, while TNF-α and IL-17A were higher in advanced stages. A patient subset with low severity had very high IL-17RA levels. Tocilizumab treatment caused an increase of IL-17A in 3/6 patients and a reduction in 3 others, while the lymphocyte number increased in 3 patients and did not change in the others.
Significance: Cytofluorimetry revealed a functional exhaustion of most lymphocyte populations in COVID patients not involving activated TH1 and TH17. Consequently, there was a relevant cytokines production that contributes to impair the respiratory inflammation. The increase of TH17 and IL-17 in a subset of cases and the evidence of a significant increase of IL-17RA (that prevents the interaction of IL-17 with the cell receptor) in patients with low severity suggest that some patients could benefit from monoclonal antibodies treatment targeting IL-17 pathway. Immunocytofluorimetric markers may contribute to a personalized therapy in COVID patients.
Keywords: COVID-19; Lymphocyte subpopulations; SARS-CoV-2; Serum cytokines.
Copyright © 2020 Elsevier Inc. All rights reserved.
Conflict of interest statement
The authors declare that there are no conflicts of interest.
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References
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- M. Cascella, M. Rajnik, A. Cuomo, S.C. Dulebohn, R. Di Napoli, Features, evaluation and treatment Coronavirus (COVID-19). In: StatPearls. Treasure Island (FL): StatPearls Publishing. https://pubmed.ncbi.nlm.nih.gov/32150360/, 2020 (accessed July 4, 2020). - PubMed
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