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

BackgroundThe 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 ha...

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Autores principales: Sara Caldrer, Cristina Mazzi, Milena Bernardi, Marco Prato, Niccolò Ronzoni, Paola Rodari, Andrea Angheben, Chiara Piubelli, Natalia Tiberti
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Publicado: Frontiers Media S.A. 2021
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Acceso en línea:https://doaj.org/article/708bdcdeb96043cba2aa2368d921ecc9
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spelling oai:doaj.org-article:708bdcdeb96043cba2aa2368d921ecc92021-12-02T10:16:41ZRegulatory T Cells as Predictors of Clinical Course in Hospitalised COVID-19 Patients1664-322410.3389/fimmu.2021.789735https://doaj.org/article/708bdcdeb96043cba2aa2368d921ecc92021-12-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fimmu.2021.789735/fullhttps://doaj.org/toc/1664-3224BackgroundThe 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.MethodsWe 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.ResultsThe 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%.ConclusionsThe 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.Sara CaldrerCristina MazziMilena BernardiMarco PratoNiccolò RonzoniPaola RodariAndrea AnghebenChiara PiubelliNatalia TibertiFrontiers Media S.A.articleCOVID-19immunophenotypeT cell subtypesregulatory T cellsdisease severityImmunologic diseases. AllergyRC581-607ENFrontiers in Immunology, Vol 12 (2021)
institution DOAJ
collection DOAJ
language EN
topic COVID-19
immunophenotype
T cell subtypes
regulatory T cells
disease severity
Immunologic diseases. Allergy
RC581-607
spellingShingle COVID-19
immunophenotype
T cell subtypes
regulatory T cells
disease severity
Immunologic diseases. Allergy
RC581-607
Sara Caldrer
Cristina Mazzi
Milena Bernardi
Marco Prato
Niccolò Ronzoni
Paola Rodari
Andrea Angheben
Chiara Piubelli
Natalia Tiberti
Regulatory T Cells as Predictors of Clinical Course in Hospitalised COVID-19 Patients
description BackgroundThe 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.MethodsWe 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.ResultsThe 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%.ConclusionsThe 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.
format article
author Sara Caldrer
Cristina Mazzi
Milena Bernardi
Marco Prato
Niccolò Ronzoni
Paola Rodari
Andrea Angheben
Chiara Piubelli
Natalia Tiberti
author_facet Sara Caldrer
Cristina Mazzi
Milena Bernardi
Marco Prato
Niccolò Ronzoni
Paola Rodari
Andrea Angheben
Chiara Piubelli
Natalia Tiberti
author_sort Sara Caldrer
title Regulatory T Cells as Predictors of Clinical Course in Hospitalised COVID-19 Patients
title_short Regulatory T Cells as Predictors of Clinical Course in Hospitalised COVID-19 Patients
title_full Regulatory T Cells as Predictors of Clinical Course in Hospitalised COVID-19 Patients
title_fullStr Regulatory T Cells as Predictors of Clinical Course in Hospitalised COVID-19 Patients
title_full_unstemmed Regulatory T Cells as Predictors of Clinical Course in Hospitalised COVID-19 Patients
title_sort regulatory t cells as predictors of clinical course in hospitalised covid-19 patients
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/708bdcdeb96043cba2aa2368d921ecc9
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