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1.
PLoS One ; 17(7): e0271463, 2022.
Article in English | MEDLINE | ID: covidwho-1933390

ABSTRACT

γδ T cells are thought to contribute to immunity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), but the mechanisms by which they are activated by the virus are unknown. Using flow cytometry, we investigated if the two most abundant viral structural proteins, spike and nucleocapsid, can activate human γδ T cell subsets, directly or in the presence of dendritic cells (DC). Both proteins failed to induce interferon-γ production by Vδ1 or Vδ2 T cells within fresh mononuclear cells or lines of expanded γδ T cells generated from healthy donors, but the same proteins stimulated CD3+ cells from COVID-19 patients. The nucleocapsid protein stimulated interleukin-12 production by DC and downstream interferon-γ production by co-cultured Vδ1 and Vδ2 T cells, but protease digestion and use of an alternative nucleocapsid preparation indicated that this activity was due to contaminating non-protein material. Thus, SARS-CoV-2 spike and nucleocapsid proteins do not have stimulatory activity for DC or γδ T cells. We propose that γδ T cell activation in COVID-19 patients is mediated by immune recognition of viral RNA or other structural proteins by γδ T cells, or by other immune cells, such as DC, that produce γδ T cell-stimulatory ligands or cytokines.


Subject(s)
COVID-19 , Dendritic Cells , Nucleocapsid Proteins , Receptors, Antigen, T-Cell, gamma-delta , SARS-CoV-2 , Spike Glycoprotein, Coronavirus , COVID-19/immunology , COVID-19/virology , Dendritic Cells/immunology , Humans , Interferon-gamma/immunology , Nucleocapsid Proteins/immunology , Receptors, Antigen, T-Cell, gamma-delta/immunology , SARS-CoV-2/immunology , Spike Glycoprotein, Coronavirus/immunology
2.
Viruses ; 13(11)2021 11 03.
Article in English | MEDLINE | ID: covidwho-1542790

ABSTRACT

The detailed characterization of human γδ T lymphocyte differentiation at the single-cell transcriptomic (scRNAseq) level in tumors and patients with coronavirus disease 2019 (COVID-19) requires both a reference differentiation trajectory of γδ T cells and a robust mapping method for additional γδ T lymphocytes. Here, we incepted such a method to characterize thousands of γδ T lymphocytes from (n = 95) patients with cancer or adult and pediatric COVID-19 disease. We found that cancer patients with human papillomavirus-positive head and neck squamous cell carcinoma and Epstein-Barr virus-positive Hodgkin's lymphoma have γδ tumor-infiltrating T lymphocytes that are more prone to recirculate from the tumor and avoid exhaustion. In COVID-19, both TCRVγ9 and TCRVγnon9 subsets of γδ T lymphocytes relocalize from peripheral blood mononuclear cells (PBMC) to the infected lung tissue, where their advanced differentiation, tissue residency, and exhaustion reflect T cell activation. Although severe COVID-19 disease increases both recruitment and exhaustion of γδ T lymphocytes in infected lung lesions but not blood, the anti-IL6R therapy with Tocilizumab promotes γδ T lymphocyte differentiation in patients with COVID-19. PBMC from pediatric patients with acute COVID-19 disease display similar γδ T cell lymphopenia to that seen in adult patients. However, blood γδ T cells from children with the COVID-19-related multisystem inflammatory syndrome are not lymphodepleted, but they are differentiated as in healthy PBMC. These findings suggest that some virus-induced memory γδ T lymphocytes durably persist in the blood of adults and could subsequently infiltrate and recirculate in tumors.


Subject(s)
COVID-19/immunology , Lymphocytes, Tumor-Infiltrating/immunology , Neoplasms/immunology , RNA-Seq , Receptors, Antigen, T-Cell, gamma-delta/immunology , T-Lymphocyte Subsets/immunology , T-Lymphocyte Subsets/metabolism , Adult , Bronchoalveolar Lavage Fluid/immunology , COVID-19/complications , Cell Differentiation , Child , Head and Neck Neoplasms/immunology , Head and Neck Neoplasms/virology , Herpesvirus 4, Human/isolation & purification , Hodgkin Disease/immunology , Hodgkin Disease/virology , Humans , Lung/immunology , Lymphocyte Activation , Lymphocyte Count , Lymphocytes, Tumor-Infiltrating/metabolism , Lymphocytes, Tumor-Infiltrating/physiology , Neoplasms/virology , Papillomaviridae/isolation & purification , Severity of Illness Index , Single-Cell Analysis , Systemic Inflammatory Response Syndrome/immunology , T-Lymphocyte Subsets/physiology
3.
Nat Immunol ; 22(12): 1490-1502, 2021 12.
Article in English | MEDLINE | ID: covidwho-1454796

ABSTRACT

Despite extensive studies into severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the effect of maternal infection on the neonate is unclear. To investigate this, we characterized the immunology of neonates born to mothers with confirmed SARS-CoV-2 infection during pregnancy. Here we show that maternal SARS-CoV-2 infection affects the neonatal immune system. Despite similar proportions of B cells, CD4+ T cells and CD8+ T cells, increased percentages of natural killer cells, Vδ2+ γδ T cells and regulatory T cells were detected in neonates born to mothers with recent or ongoing infection compared with those born to recovered or uninfected mothers. Increased plasma cytokine levels were also evident in neonates and mothers within the recent or ongoing infection group. Cytokine functionality was enhanced in neonates born to SARS-CoV-2-exposed mothers, compared to those born to uninfected mothers. In most neonates, this immune imprinting was nonspecific, suggesting vertical transmission of SARS-CoV-2 is limited, a finding supported by a lack of SARS-CoV-2-specific IgM in neonates despite maternal IgG transfer.


Subject(s)
COVID-19/immunology , Infant, Newborn, Diseases/immunology , Infectious Disease Transmission, Vertical , Pregnancy Complications, Infectious/immunology , SARS-CoV-2/immunology , Adult , Antibodies, Viral/immunology , COVID-19/diagnosis , COVID-19/virology , Cytokines/blood , Cytokines/immunology , Cytokines/metabolism , Female , Humans , Immunity, Innate/immunology , Immunoglobulin G/immunology , Infant, Newborn , Infant, Newborn, Diseases/diagnosis , Infant, Newborn, Diseases/virology , Killer Cells, Natural/immunology , Pregnancy , Pregnancy Complications, Infectious/virology , Receptors, Antigen, T-Cell, gamma-delta/immunology , Receptors, Antigen, T-Cell, gamma-delta/metabolism , SARS-CoV-2/physiology , T-Lymphocytes/immunology , T-Lymphocytes/metabolism , T-Lymphocytes, Regulatory/immunology
4.
Nat Commun ; 11(1): 5243, 2020 10 16.
Article in English | MEDLINE | ID: covidwho-872700

ABSTRACT

SARS-CoV-2 is the novel coronavirus responsible for the current COVID-19 pandemic. Severe complications are observed only in a small proportion of infected patients but the cellular mechanisms underlying this progression are still unknown. Comprehensive flow cytometry of whole blood samples from 54 COVID-19 patients reveals a dramatic increase in the number of immature neutrophils. This increase strongly correlates with disease severity and is associated with elevated IL-6 and IP-10 levels, two key players in the cytokine storm. The most pronounced decrease in cell counts is observed for CD8 T-cells and VD2 γδ T-cells, which both exhibit increased differentiation and activation. ROC analysis reveals that the count ratio of immature neutrophils to VD2 (or CD8) T-cells predicts pneumonia onset (0.9071) as well as hypoxia onset (0.8908) with high sensitivity and specificity. It would thus be a useful prognostic marker for preventive patient management and improved healthcare resource management.


Subject(s)
Betacoronavirus/immunology , CD8-Positive T-Lymphocytes/immunology , Neutrophils/immunology , Receptors, Antigen, T-Cell, gamma-delta/immunology , Biomarkers/blood , COVID-19 , Coronavirus Infections/immunology , Coronavirus Infections/pathology , Cytokine Release Syndrome/immunology , Cytokine Release Syndrome/pathology , Flow Cytometry , Humans , Immunophenotyping/methods , Interleukin-10/blood , Interleukin-6/blood , Lymphocyte Count , Pandemics , Pneumonia, Viral/immunology , Pneumonia, Viral/pathology , SARS-CoV-2 , Severity of Illness Index
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