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      Regulatory T Cells as Predictors of Clinical Course in Hospitalised COVID-19 Patients

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          Abstract

          Background

          The host immune response has a prominent role in the progression and outcome of SARS-CoV-2 infection. Lymphopenia has been described as an important feature of SARS-CoV-2 infection and has been associated with severe disease manifestation. Lymphocyte dysregulation and hyper-inflammation have been shown to be associated with a more severe clinical course; however, a T cell subpopulation whose dysfunction correlate with disease progression has yet to be identify.

          Methods

          We performed an immuno-phenotypic analysis of T cell sub-populations in peripheral blood from patients affected by different severity of COVID-19 (n=60) and undergoing a different clinical evolution. Clinical severity was established based on a modified WHO score considering both ventilation support and respiratory capacity (PaO2/FiO2 ratio). The ability of circulating cells at baseline to predict the probability of clinical aggravation was explored through multivariate regression analyses.

          Results

          The immuno-phenotypic analysis performed by multi-colour flow cytometry confirmed that patients suffering from severe COVID-19 harboured significantly reduced circulating T cell subsets, especially for CD4 + T, Th1, and regulatory T cells. Peripheral T cells also correlated with parameters associated with disease severity, i.e., PaO2/FiO2 ratio and inflammation markers. CD4 + T cell subsets showed an important significant association with clinical evolution, with patients presenting markedly decreased regulatory T cells at baseline having a significantly higher risk of aggravation. Importantly, the combination of gender and regulatory T cells allowed distinguishing between improved and worsened patients with an area under the ROC curve (AUC) of 82%.

          Conclusions

          The present study demonstrates the association between CD4 + T cell dysregulation and COVID-19 severity and progression. Our results support the importance of analysing baseline regulatory T cell levels, since they were revealed able to predict the clinical worsening during hospitalization. Regulatory T cells assessment soon after hospital admission could thus allow a better clinical stratification and patient management.

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          Most cited references35

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          Clinical and immunologic features in severe and moderate Coronavirus Disease 2019

          Journal of Clinical Investigation
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            Dysregulation of immune response in patients with COVID-19 in Wuhan, China

            Abstract Background In December 2019, coronavirus disease 2019 (COVID-19) emerged in Wuhan and rapidly spread throughout China. Methods Demographic and clinical data of all confirmed cases with COVID-19 on admission at Tongji Hospital from January 10 to February 12, 2020, were collected and analyzed. The data of laboratory examinations, including peripheral lymphocyte subsets, were analyzed and compared between severe and non-severe patients. Results Of the 452 patients with COVID-19 recruited, 286 were diagnosed as severe infection. The median age was 58 years and 235 were male. The most common symptoms were fever, shortness of breath, expectoration, fatigue, dry cough and myalgia. Severe cases tend to have lower lymphocytes counts, higher leukocytes counts and neutrophil-lymphocyte-ratio (NLR), as well as lower percentages of monocytes, eosinophils, and basophils. Most of severe cases demonstrated elevated levels of infection-related biomarkers and inflammatory cytokines. The number of T cells significantly decreased, and more hampered in severe cases. Both helper T cells and suppressor T cells in patients with COVID-19 were below normal levels, and lower level of helper T cells in severe group. The percentage of naïve helper T cells increased and memory helper T cells decreased in severe cases. Patients with COVID-19 also have lower level of regulatory T cells, and more obviously damaged in severe cases. Conclusions The novel coronavirus might mainly act on lymphocytes, especially T lymphocytes. Surveillance of NLR and lymphocyte subsets is helpful in the early screening of critical illness, diagnosis and treatment of COVID-19.
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              Targets of T cell responses to SARS-CoV-2 coronavirus in humans with COVID-19 disease and unexposed individuals

              Summary Understanding adaptive immunity to SARS-CoV-2 is important for vaccine development, interpreting coronavirus disease 2019 (COVID-19) pathogenesis, and calibration of pandemic control measures. Using HLA class I and II predicted peptide ‘megapools’, circulating SARS-CoV-2−specific CD8+ and CD4+ T cells were identified in ∼70% and 100% of COVID-19 convalescent patients, respectively. CD4+ T cell responses to spike, the main target of most vaccine efforts, were robust and correlated with the magnitude of the anti-SARS-CoV-2 IgG and IgA titers. The M, spike and N proteins each accounted for 11-27% of the total CD4+ response, with additional responses commonly targeting nsp3, nsp4, ORF3a and ORF8, among others. For CD8+ T cells, spike and M were recognized, with at least eight SARS-CoV-2 ORFs targeted. Importantly, we detected SARS-CoV-2−reactive CD4+ T cells in ∼40-60% of unexposed individuals, suggesting cross-reactive T cell recognition between circulating ‘common cold’ coronaviruses and SARS-CoV-2.
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                Author and article information

                Contributors
                Journal
                Front Immunol
                Front Immunol
                Front. Immunol.
                Frontiers in Immunology
                Frontiers Media S.A.
                1664-3224
                02 December 2021
                2021
                02 December 2021
                : 12
                : 789735
                Affiliations
                [1] 1 Department of Infectious – Tropical Diseases and Microbiology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Sacro Cuore - Don Calabria Hospital , Verona, Italy
                [2] 2 Centre for Clinical Research, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Sacro Cuore - Don Calabria Hospital , Verona, Italy
                Author notes

                Edited by: Laura Maggi, Università degli Studi di Firenze, Italy

                Reviewed by: Chaofeng Han, Second Military Medical University, China; Grace Mulcahy, University College Dublin, Ireland

                *Correspondence: Sara Caldrer, sara.caldrer@ 123456sacrocuore.it ; Natalia Tiberti, natalia.tiberti@ 123456sacrocuore.it

                This article was submitted to T Cell Biology, a section of the journal Frontiers in Immunology

                Article
                10.3389/fimmu.2021.789735
                8674838
                34925369
                8359ae42-6d97-49f6-87c9-af857fd82029
                Copyright © 2021 Caldrer, Mazzi, Bernardi, Prato, Ronzoni, Rodari, Angheben, Piubelli and Tiberti

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 05 October 2021
                : 15 November 2021
                Page count
                Figures: 4, Tables: 4, Equations: 0, References: 35, Pages: 11, Words: 6242
                Funding
                Funded by: Ministero della Salute , doi 10.13039/501100003196;
                Award ID: Fondi Ricerca Corrente – L1P6, COVID-2020-12371675
                Categories
                Immunology
                Original Research

                Immunology
                covid-19,immunophenotype,t cell subtypes,regulatory t cells,disease severity
                Immunology
                covid-19, immunophenotype, t cell subtypes, regulatory t cells, disease severity

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