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Pérez-Pons A, Teodosio C, Jara-Acevedo M, Henriques A, Navarro-Navarro P, García-Montero AC, Álvarez-Twose I, Lecrevisse Q, Fluxa R, Sánchez-Muñoz L, Caldas C, Pozo J, Martín S, Sanfeliciano TC, Pedreira CE, Botafogo V, González-López O, Mayado A, Orfao A. T-cell immune profile in blood of systemic mastocytosis: Association with disease features. Allergy 2024; 79:1921-1937. [PMID: 38299742 DOI: 10.1111/all.16043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 01/02/2024] [Accepted: 01/16/2024] [Indexed: 02/02/2024]
Abstract
BACKGROUND Systemic mastocytosis (SM) is a heterogeneous disease characterized by an expansion of KIT-mutated mast cells (MC). KIT-mutated MC display activated features and release MC mediators that might act on the tumour microenvironment and other immune cells. Here, we investigated the distribution of lymphocyte subsets in blood of patients with distinct subtypes of SM and determined its association with other disease features. METHODS We studied the distribution of TCD4+ and TCD4- cytotoxic cells and their subsets, as well as total NK- and B cells, in blood of 115 SM patients-38 bone marrow mastocytosis (BMM), 67 indolent SM (ISM), 10 aggressive SM (ASM)- and 83 age-matched healthy donors (HD), using spectral flow cytometry and the EuroFlow Immunomonitoring panel, and correlated it with multilineage KITD816V, the alpha-tryptasemia genotype (HαT) and the clinical manifestations of the disease. RESULTS SM patients showed decreased counts (vs. HD) of TCD4- cytotoxic cells, NK cells and several functional subsets of TCD4+ cells (total Th1, Th2-effector memory, Th22-terminal effector and Th1-like Tregs), together with increased T-follicular-helper and Th1/Th17-like Treg counts, associated with different immune profiles per diagnostic subtype of SM, in multilineal versus MC-restricted KITD816V and in cases with a HαT+ versus HαT- genotype. Unique immune profiles were found among BMM and ISM patients with MC-restricted KITD816V who displayed HαT, anaphylaxis, hymenoptera venom allergy, bone disease, pruritus, flushing and GI symptoms. CONCLUSION Our results reveal altered T- and NK-cell immune profiles in blood of SM, which vary per disease subtype, the pattern of involvement of haematopoiesis by KITD816V, the HαT genotype and specific clinical manifestations of the disease.
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Affiliation(s)
- Alba Pérez-Pons
- Department of Medicine and Cytometry Service (NUCLEUS), Cancer Research Center (IBMCC, USAL-CSIC), Universidad de Salamanca, Salamanca, Spain
- Biomedical Research Networking Center Consortium (CIBERONC; CB16/12/00400), Madrid, Spain
- Biomedical Research Institute of Salamanca (IBSAL), Salamanca, Spain
- Spanish Network on Mastocytosis (REMA), Toledo, Salamanca, Spain
| | - Cristina Teodosio
- Department of Medicine and Cytometry Service (NUCLEUS), Cancer Research Center (IBMCC, USAL-CSIC), Universidad de Salamanca, Salamanca, Spain
- Biomedical Research Networking Center Consortium (CIBERONC; CB16/12/00400), Madrid, Spain
- Biomedical Research Institute of Salamanca (IBSAL), Salamanca, Spain
| | - María Jara-Acevedo
- Department of Medicine and Cytometry Service (NUCLEUS), Cancer Research Center (IBMCC, USAL-CSIC), Universidad de Salamanca, Salamanca, Spain
- Biomedical Research Networking Center Consortium (CIBERONC; CB16/12/00400), Madrid, Spain
- Biomedical Research Institute of Salamanca (IBSAL), Salamanca, Spain
- Spanish Network on Mastocytosis (REMA), Toledo, Salamanca, Spain
- Sequencing Service (NUCLEUS), Universidad de Salamanca, Salamanca, Spain
| | - Ana Henriques
- Spanish Network on Mastocytosis (REMA), Toledo, Salamanca, Spain
- Instituto de Estudios de Mastocitosis de Castilla La Mancha (CLMast), Virgen del Valle Hospital, CIBERONC, Toledo, Madrid, Spain
- Cytognos SL, Salamanca, Spain
| | - Paula Navarro-Navarro
- Department of Medicine and Cytometry Service (NUCLEUS), Cancer Research Center (IBMCC, USAL-CSIC), Universidad de Salamanca, Salamanca, Spain
- Biomedical Research Networking Center Consortium (CIBERONC; CB16/12/00400), Madrid, Spain
- Biomedical Research Institute of Salamanca (IBSAL), Salamanca, Spain
- Spanish Network on Mastocytosis (REMA), Toledo, Salamanca, Spain
- Sequencing Service (NUCLEUS), Universidad de Salamanca, Salamanca, Spain
| | - Andrés C García-Montero
- Department of Medicine and Cytometry Service (NUCLEUS), Cancer Research Center (IBMCC, USAL-CSIC), Universidad de Salamanca, Salamanca, Spain
- Biomedical Research Networking Center Consortium (CIBERONC; CB16/12/00400), Madrid, Spain
- Biomedical Research Institute of Salamanca (IBSAL), Salamanca, Spain
- Spanish Network on Mastocytosis (REMA), Toledo, Salamanca, Spain
| | - Iván Álvarez-Twose
- Biomedical Research Networking Center Consortium (CIBERONC; CB16/12/00400), Madrid, Spain
- Spanish Network on Mastocytosis (REMA), Toledo, Salamanca, Spain
- Instituto de Estudios de Mastocitosis de Castilla La Mancha (CLMast), Virgen del Valle Hospital, CIBERONC, Toledo, Madrid, Spain
| | - Quentin Lecrevisse
- Department of Medicine and Cytometry Service (NUCLEUS), Cancer Research Center (IBMCC, USAL-CSIC), Universidad de Salamanca, Salamanca, Spain
- Biomedical Research Networking Center Consortium (CIBERONC; CB16/12/00400), Madrid, Spain
- Biomedical Research Institute of Salamanca (IBSAL), Salamanca, Spain
| | | | - Laura Sánchez-Muñoz
- Biomedical Research Networking Center Consortium (CIBERONC; CB16/12/00400), Madrid, Spain
- Spanish Network on Mastocytosis (REMA), Toledo, Salamanca, Spain
- Instituto de Estudios de Mastocitosis de Castilla La Mancha (CLMast), Virgen del Valle Hospital, CIBERONC, Toledo, Madrid, Spain
| | - Carolina Caldas
- Department of Medicine and Cytometry Service (NUCLEUS), Cancer Research Center (IBMCC, USAL-CSIC), Universidad de Salamanca, Salamanca, Spain
- Biomedical Research Networking Center Consortium (CIBERONC; CB16/12/00400), Madrid, Spain
- Biomedical Research Institute of Salamanca (IBSAL), Salamanca, Spain
- Spanish Network on Mastocytosis (REMA), Toledo, Salamanca, Spain
| | - Julio Pozo
- Department of Medicine and Cytometry Service (NUCLEUS), Cancer Research Center (IBMCC, USAL-CSIC), Universidad de Salamanca, Salamanca, Spain
- Biomedical Research Networking Center Consortium (CIBERONC; CB16/12/00400), Madrid, Spain
- Biomedical Research Institute of Salamanca (IBSAL), Salamanca, Spain
| | - Silvia Martín
- Department of Medicine and Cytometry Service (NUCLEUS), Cancer Research Center (IBMCC, USAL-CSIC), Universidad de Salamanca, Salamanca, Spain
- Biomedical Research Networking Center Consortium (CIBERONC; CB16/12/00400), Madrid, Spain
- Biomedical Research Institute of Salamanca (IBSAL), Salamanca, Spain
| | | | - Carlos E Pedreira
- Systems and Computing Department (PESC), COPPE, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | - Vitor Botafogo
- Department of Hematology and Hemotherapy, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
| | - Oscar González-López
- Department of Medicine and Cytometry Service (NUCLEUS), Cancer Research Center (IBMCC, USAL-CSIC), Universidad de Salamanca, Salamanca, Spain
- Biomedical Research Networking Center Consortium (CIBERONC; CB16/12/00400), Madrid, Spain
| | - Andrea Mayado
- Department of Medicine and Cytometry Service (NUCLEUS), Cancer Research Center (IBMCC, USAL-CSIC), Universidad de Salamanca, Salamanca, Spain
- Biomedical Research Networking Center Consortium (CIBERONC; CB16/12/00400), Madrid, Spain
- Biomedical Research Institute of Salamanca (IBSAL), Salamanca, Spain
- Spanish Network on Mastocytosis (REMA), Toledo, Salamanca, Spain
| | - Alberto Orfao
- Department of Medicine and Cytometry Service (NUCLEUS), Cancer Research Center (IBMCC, USAL-CSIC), Universidad de Salamanca, Salamanca, Spain
- Biomedical Research Networking Center Consortium (CIBERONC; CB16/12/00400), Madrid, Spain
- Biomedical Research Institute of Salamanca (IBSAL), Salamanca, Spain
- Spanish Network on Mastocytosis (REMA), Toledo, Salamanca, Spain
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Pinho ACO, Barbosa P, Pereira MJ, Paiva A, Carvalho E, Laranjeira P. The role of CD20 + T cells: Insights in human peripheral blood. CYTOMETRY. PART B, CLINICAL CYTOMETRY 2024; 106:171-180. [PMID: 38695297 DOI: 10.1002/cyto.b.22178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 03/26/2024] [Accepted: 04/17/2024] [Indexed: 06/01/2024]
Abstract
CD20+ T cells constitute a small subset of T cells. These are found among CD4+, CD8+, CD4+CD8+, CD4-CD8- T, and TCRγδ+ T cells, and have been poorly characterized. The aim of this study was to characterize peripheral blood (PB) CD20+ T cells and compare them to their PB CD20- T cell counterparts. PB from 17 healthy individuals was collected. The distribution of CD20+ T cells among maturation-associated T cells compartments (naïve, central memory, transitional memory, effector memory, and effector T cells), their polarization, activation status, and expression of immune-regulatory proteins were evaluated by flow cytometry. Their function was also assessed, by measuring IFN-γ, TNF-α, and IL-17 production. Compared with CD20- T cells, CD20+ T cells represent a higher proportion of transitional memory cells. Furthermore, CD20+ T cells display a proinflammatory phenotype, characterized by the expansion of Th1, Th1/17, and Tc1 cell subsets , associated to a high expression of activation (CD25) and exhaustion (PD-1) markers. In addition, the simultaneous production of the proinflammatory cytokines IFN-γ, TNF-α, and IL-17 was also detected in CD4+CD20+ T cells. Our results show that CD20+ T cells are phenotypically and functionally different from CD20- T cells, suggesting that these cells are a distinct subset of T cells.
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Affiliation(s)
- Aryane Cruz Oliveira Pinho
- CNC-UC- Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal
- CIBB -Center for Innovative Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal
- Department of Life Sciences, Faculty of Science and Technology, University of Coimbra, Coimbra, Portugal
| | - Pedro Barbosa
- CNC-UC- Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal
- CIBB -Center for Innovative Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal
- Institute for Interdisciplinary Research, University of Coimbra, Coimbra, Portugal
| | - Maria João Pereira
- Department of Medical Sciences, Clinical Diabetology and Metabolism, Uppsala University, Uppsala, Sweden
| | - Artur Paiva
- CIBB -Center for Innovative Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal
- Flow Cytometry Unit, Clinical Pathology Department, Hospitais da Universidade de Coimbra, Unidade Local de Saúde de Coimbra, Coimbra, Portugal
- Coimbra Institute for Clinical and Biomedical Research (iCBR), Group of Environmental Genetics of Onco-biology (CIMAGO), Faculty of Medicine (FMUC), University of Coimbra, Coimbra, Portugal
- Clinical Academic Center of Coimbra (CACC), Coimbra, Portugal
- Instituto Politécnico de Coimbra, ESTESC-Coimbra Health School, Ciências Biomédicas Laboratoriais, Coimbra, Portugal
| | - Eugenia Carvalho
- CNC-UC- Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal
- CIBB -Center for Innovative Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal
- Institute for Interdisciplinary Research, University of Coimbra, Coimbra, Portugal
- APDP-Portuguese Diabetes Association, Lisbon, Portugal
| | - Paula Laranjeira
- CNC-UC- Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal
- CIBB -Center for Innovative Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal
- Flow Cytometry Unit, Clinical Pathology Department, Hospitais da Universidade de Coimbra, Unidade Local de Saúde de Coimbra, Coimbra, Portugal
- Coimbra Institute for Clinical and Biomedical Research (iCBR), Group of Environmental Genetics of Onco-biology (CIMAGO), Faculty of Medicine (FMUC), University of Coimbra, Coimbra, Portugal
- Clinical Academic Center of Coimbra (CACC), Coimbra, Portugal
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Seitz L, Gaitan D, Berkemeier CM, Berger CT, Recher M. Cluster analysis of flowcytometric immunophenotyping with extended T cell subsets in suspected immunodeficiency. Immun Inflamm Dis 2023; 11:e1106. [PMID: 38156376 PMCID: PMC10698832 DOI: 10.1002/iid3.1106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 10/30/2023] [Accepted: 11/18/2023] [Indexed: 12/30/2023] Open
Abstract
BACKGROUND Patients with immunodeficiencies commonly experience diagnostic delays resulting in morbidity. There is an unmet need to identify patients earlier, especially those with high risk for complications. Compared to immunoglobulin quantification and flowcytometric B cell subset analysis, expanded T cell subset analysis is rarely performed in the initial evaluation of patients with suspected immunodeficiency. The simultaneous interpretation of multiple immune variables, including lymphocyte subsets, is challenging. OBJECTIVE To evaluate the diagnostic value of cluster analyses of immune variables in patients with suspected immunodeficiency. METHODS Retrospective analysis of 38 immune system variables, including seven B cell and sixteen T cell subpopulations, in 107 adult patients (73 with immunodeficiency, 34 without) evaluated at a tertiary outpatient immunology clinic. Correlation analyses of individual variables, k-means cluster analysis with evaluation of the classification into "no immunodeficiency" versus "immunodeficiency" and visual analyses of hierarchical heatmaps were performed. RESULTS Binary classification of patients into groups with and without immunodeficiency was correct in 54% of cases with the full data set and increased to 69% and 75% of cases, respectively, when only 16 variables with moderate (p < .05) or 7 variables with strong evidence (p < .01) for a difference between groups were included. In a cluster heatmap with all patients but only moderately differing variables and a heatmap with only immunodeficient patients restricted to T cell variables alone, segregation of most patients with common variable immunodeficiency and combined immunodeficiency was observed. CONCLUSION Cluster analyses of immune variables, including detailed lymphocyte flowcytometry with T cell subpopulations, may support clinical decision making for suspected immunodeficiency in daily practice.
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Affiliation(s)
- Luca Seitz
- Immunodeficiency Laboratory, Department of BiomedicineUniversity Hospital Basel and University of BaselBaselSwitzerland
- Department of Rheumatology and Immunology, Inselspital, University Hospital BernUniversity of BernBernSwitzerland
| | - Daniel Gaitan
- Immunodeficiency Laboratory, Department of BiomedicineUniversity Hospital Basel and University of BaselBaselSwitzerland
| | - Caroline M. Berkemeier
- Division of Medical Immunology, Laboratory MedicineUniversity Hospital BaselBaselSwitzerland
| | - Christoph T. Berger
- University Center for ImmunologyUniversity Hospital BaselBaselSwitzerland
- Translational Immunology, Department of BiomedicineUniversity of BaselBaselSwitzerland
| | - Mike Recher
- Immunodeficiency Laboratory, Department of BiomedicineUniversity Hospital Basel and University of BaselBaselSwitzerland
- University Center for ImmunologyUniversity Hospital BaselBaselSwitzerland
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4
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Brito-de-Sousa JP, Lima-Silva ML, Costa-Rocha IAD, Júnior LRADO, Campi-Azevedo AC, Peruhype-Magalhães V, Quetz JDS, Coelho-Dos-Reis JGA, Costa-Pereira C, Garcia CC, Antonelli LRDV, Fonseca CT, Lemos JAC, Mambrini JVDM, Souza-Fagundes EM, Teixeira-Carvalho A, Faria AMDC, Gomes AO, Torres KCDL, Martins-Filho OA. Rhythmic profile of memory T and B-cells along childhood and adolescence. Sci Rep 2023; 13:20978. [PMID: 38017254 PMCID: PMC10684863 DOI: 10.1038/s41598-023-48115-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 11/22/2023] [Indexed: 11/30/2023] Open
Abstract
Immunobiography describes the life-long effects of exogenous or endogenous stimuli on remodeling of immune cell biology, including the development of memory T and B-cells. The present study aimed at investigating the rhythms of changes in phenotypic features of memory T and B-cells along childhood and adolescence. A descriptive-observational investigation was conducted including 812 healthy volunteers, clustered into six consecutive age groups (9Mths-1Yr; 2Yrs; 3-4Yrs; 5-7Yrs; 8-10Yrs; 11-18Yrs). Immunophenotypic analysis of memory T-cell (CD4+ and CD8+) and B-cell subsets were performed by flow cytometry. The results pointed out that memory-related biomarkers of T and B-cells displayed a bimodal profile along healthy childhood and adolescence, regardless of sex. The first stage of changes occurs around 2Yrs, with predominance of naive cells, while the second and more prominent wave occurs around the age 8-10Yrs, with the prevalence of memory phenotypes. The neighborhood connectivity profile analysis demonstrated that the number of correlations reaches a peak at 11-18Yrs and lower values along the childhood. Males presented higher and conserved number of correlations when compared to females. Altogether, our results provide new insights into immunobiography and a better understanding of interactions among the cellular subsets studied here during childhood and adolescence.
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Affiliation(s)
- Joaquim Pedro Brito-de-Sousa
- Programa de Pós-graduação em Imunologia e Parasitologia Aplicadas, Universidade Federal de Uberlândia, Uberlândia, MG, Brazil
| | - Maria Luiza Lima-Silva
- Instituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ-Minas), Avenida Augusto de Lima, 1715, Barro Preto, Belo Horizonte, MG, 30190-002, Brazil
| | - Ismael Artur da Costa-Rocha
- Instituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ-Minas), Avenida Augusto de Lima, 1715, Barro Preto, Belo Horizonte, MG, 30190-002, Brazil
| | | | - Ana Carolina Campi-Azevedo
- Instituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ-Minas), Avenida Augusto de Lima, 1715, Barro Preto, Belo Horizonte, MG, 30190-002, Brazil
| | - Vanessa Peruhype-Magalhães
- Instituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ-Minas), Avenida Augusto de Lima, 1715, Barro Preto, Belo Horizonte, MG, 30190-002, Brazil
| | - Josiane da Silva Quetz
- Instituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ-Minas), Avenida Augusto de Lima, 1715, Barro Preto, Belo Horizonte, MG, 30190-002, Brazil
- Universidade Professor Edson Antônio Velano, UNIFENAS, Belo Horizonte, MG, Brazil
| | - Jordana Grazziela Alves Coelho-Dos-Reis
- Laboratório de Virologia Básica e Aplicada, Departamento de Microbiologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Christiane Costa-Pereira
- Instituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ-Minas), Avenida Augusto de Lima, 1715, Barro Preto, Belo Horizonte, MG, 30190-002, Brazil
| | - Cristiana Couto Garcia
- Instituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ-Minas), Avenida Augusto de Lima, 1715, Barro Preto, Belo Horizonte, MG, 30190-002, Brazil
| | - Lis Ribeiro do Vale Antonelli
- Instituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ-Minas), Avenida Augusto de Lima, 1715, Barro Preto, Belo Horizonte, MG, 30190-002, Brazil
| | - Cristina Toscano Fonseca
- Instituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ-Minas), Avenida Augusto de Lima, 1715, Barro Preto, Belo Horizonte, MG, 30190-002, Brazil
| | | | - Juliana Vaz de Melo Mambrini
- Instituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ-Minas), Avenida Augusto de Lima, 1715, Barro Preto, Belo Horizonte, MG, 30190-002, Brazil
| | - Elaine Maria Souza-Fagundes
- Laboratório de Virologia Básica e Aplicada, Departamento de Microbiologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Andréa Teixeira-Carvalho
- Instituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ-Minas), Avenida Augusto de Lima, 1715, Barro Preto, Belo Horizonte, MG, 30190-002, Brazil
| | - Ana Maria de Caetano Faria
- Departamento de Bioquímica e Imunologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | | | - Karen Cecília de Lima Torres
- Instituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ-Minas), Avenida Augusto de Lima, 1715, Barro Preto, Belo Horizonte, MG, 30190-002, Brazil.
- Universidade Professor Edson Antônio Velano, UNIFENAS, Belo Horizonte, MG, Brazil.
| | - Olindo Assis Martins-Filho
- Programa de Pós-graduação em Imunologia e Parasitologia Aplicadas, Universidade Federal de Uberlândia, Uberlândia, MG, Brazil.
- Instituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ-Minas), Avenida Augusto de Lima, 1715, Barro Preto, Belo Horizonte, MG, 30190-002, Brazil.
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5
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Torres-Valle A, Aragon L, Silva SL, Serrano C, Marcos M, Melero J, Bonroy C, Arenas-Caro PP, Casado DM, Olaizola PMR, Neirinck J, Hofmans M, de Arriba S, Jara M, Prieto C, Sousa AE, Prada Á, van Dongen JJM, Pérez-Andrés M, Orfao A. In-depth blood immune profiling of Good syndrome patients. Front Immunol 2023; 14:1285088. [PMID: 38035080 PMCID: PMC10684950 DOI: 10.3389/fimmu.2023.1285088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 10/23/2023] [Indexed: 12/02/2023] Open
Abstract
Introduction Good syndrome (GS) is a rare adult-onset immunodeficiency first described in 1954. It is characterized by the coexistence of a thymoma and hypogammaglobulinemia, associated with an increased susceptibility to infections and autoimmunity. The classification and management of GS has been long hampered by the lack of data about the underlying immune alterations, a controversy existing on whether it is a unique diagnostic entity vs. a subtype of Common Variable Immune Deficiency (CVID). Methods Here, we used high-sensitive flow cytometry to investigate the distribution of up to 70 different immune cell populations in blood of GS patients (n=9) compared to age-matched CVID patients (n=55) and healthy donors (n=61). Results All 9 GS patients displayed reduced B-cell counts -down to undetectable levels (<0.1 cells/μL) in 8/9 cases-, together with decreased numbers of total CD4+ T-cells, NK-cells, neutrophils, and basophils vs. age-matched healthy donors. In contrast, they showed expanded TCRγδ+ T-cells (p ≤ 0.05). Except for a deeper B-cell defect, the pattern of immune cell alteration in blood was similar in GS and (age-matched) CVID patients. In depth analysis of CD4+ T-cells revealed significantly decreased blood counts of naïve, central memory (CM) and transitional memory (TM) TCD4+ cells and their functional compartments of T follicular helper (TFH), regulatory T cells (Tregs), T helper (Th)2, Th17, Th22, Th1/Th17 and Th1/Th2 cells. In addition, GS patients also showed decreased NK-cell, neutrophil, basophil, classical monocyte and of both CD1c+ and CD141+ myeloid dendritic cell counts in blood, in parallel to an expansion of total and terminal effector TCRγδ+ T-cells. Interestingly, those GS patients who developed hypogammaglobulinemia several years after the thymoma presented with an immunological and clinical phenotype which more closely resembled a combined immune humoral and cellular defect, with poorer response to immunoglobulin replacement therapy, as compared to those in whom the thymoma and hypogammaglobulinemia were simultaneously detected. Discussion Our findings provide a more accurate definition of the immune cell defects of GS patients and contribute to a better discrimination among GS patients between those with a pure B-cell defect vs. those suffering from a combined immunodeficiency with important consequences on the diagnosis and management of the disease.
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Affiliation(s)
- Alba Torres-Valle
- Translational and Clinical Research Program, Centro de investigación del Cáncer (CIC), Instituto de Biología Molecular y Celular del Cáncer (IBMCC), Consejo Superior de Investigaciones Científicas (CSIC) and University of Salamanca (USAL), Salamanca, Spain
- Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca, Salamanca, Spain
- Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
| | - Larraitz Aragon
- Immunology Department, Donostia University Hospital, Osakidetza Basque Health Service, San Sebastián, Spain
| | - Susana L. Silva
- Serviço de Imunoalergologia, Centro Hospitalar Universitário Lisboa Norte, Lisbon, Portugal
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | | | - Miguel Marcos
- Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
- Department of Internal Medicine, University Hospital of Salamanca, Salamanca, Spain
- Department of Medicine, University of Salamanca, Salamanca, Spain
| | - Josefa Melero
- Servicio de inmunología y genética, Hospital Universitario de Badajoz, Badajoz, Spain
| | - Carolien Bonroy
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Pedro Pablo Arenas-Caro
- Immunology Department, Donostia University Hospital, Osakidetza Basque Health Service, San Sebastián, Spain
| | - David Monzon Casado
- Immunology Department, Donostia University Hospital, Osakidetza Basque Health Service, San Sebastián, Spain
| | | | - Jana Neirinck
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Mattias Hofmans
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Sonia de Arriba
- Pediatrics Department, University Hospital of Salamanca, Salamanca, Spain
| | - María Jara
- Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
- DNA Sequencing Service (NUCLEUS), University of Salamanca, Salamanca, Spain
| | - Carlos Prieto
- Bioinformatics service (NUCLEUS), University of Salamanca, Salamanca, Spain
| | - Ana E. Sousa
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Álvaro Prada
- Immunology Department, Donostia University Hospital, Osakidetza Basque Health Service, San Sebastián, Spain
| | - Jacques J. M. van Dongen
- Translational and Clinical Research Program, Centro de investigación del Cáncer (CIC), Instituto de Biología Molecular y Celular del Cáncer (IBMCC), Consejo Superior de Investigaciones Científicas (CSIC) and University of Salamanca (USAL), Salamanca, Spain
- Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca, Salamanca, Spain
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Martín Pérez-Andrés
- Translational and Clinical Research Program, Centro de investigación del Cáncer (CIC), Instituto de Biología Molecular y Celular del Cáncer (IBMCC), Consejo Superior de Investigaciones Científicas (CSIC) and University of Salamanca (USAL), Salamanca, Spain
- Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca, Salamanca, Spain
- Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Alberto Orfao
- Translational and Clinical Research Program, Centro de investigación del Cáncer (CIC), Instituto de Biología Molecular y Celular del Cáncer (IBMCC), Consejo Superior de Investigaciones Científicas (CSIC) and University of Salamanca (USAL), Salamanca, Spain
- Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca, Salamanca, Spain
- Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
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Delgado AH, Fluxa R, Perez-Andres M, Diks AM, van Gaans-van den Brink JAM, Barkoff AM, Blanco E, Torres-Valle A, Berkowska MA, Grigore G, van Dongen J.J.M, Orfao A. Automated EuroFlow approach for standardized in-depth dissection of human circulating B-cells and plasma cells. Front Immunol 2023; 14:1268686. [PMID: 37915569 PMCID: PMC10616957 DOI: 10.3389/fimmu.2023.1268686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 09/29/2023] [Indexed: 11/03/2023] Open
Abstract
Background Multiparameter flow cytometry (FC) immunophenotyping is a key tool for detailed identification and characterization of human blood leucocytes, including B-lymphocytes and plasma cells (PC). However, currently used conventional data analysis strategies require extensive expertise, are time consuming, and show limited reproducibility. Objective Here, we designed, constructed and validated an automated database-guided gating and identification (AGI) approach for fast and standardized in-depth dissection of B-lymphocyte and PC populations in human blood. Methods For this purpose, 213 FC standard (FCS) datafiles corresponding to umbilical cord and peripheral blood samples from healthy and patient volunteers, stained with the 14-color 18-antibody EuroFlow BIgH-IMM panel, were used. Results The BIgH-IMM antibody panel allowed identification of 117 different B-lymphocyte and PC subsets. Samples from 36 healthy donors were stained and 14 of the datafiles that fulfilled strict inclusion criteria were analysed by an expert flow cytometrist to build the EuroFlow BIgH-IMM database. Data contained in the datafiles was then merged into a reference database that was uploaded in the Infinicyt software (Cytognos, Salamanca, Spain). Subsequently, we compared the results of manual gating (MG) with the performance of two classification algorithms -hierarchical algorithm vs two-step algorithm- for AGI of the cell populations present in 5 randomly selected FCS datafiles. The hierarchical AGI algorithm showed higher correlation values vs conventional MG (r2 of 0.94 vs. 0.88 for the two-step AGI algorithm) and was further validated in a set of 177 FCS datafiles against conventional expert-based MG. For virtually all identifiable cell populations a highly significant correlation was observed between the two approaches (r2>0.81 for 79% of all B-cell populations identified), with a significantly lower median time of analysis per sample (6 vs. 40 min, p=0.001) for the AGI tool vs. MG, respectively and both intra-sample (median CV of 1.7% vs. 10.4% by MG, p<0.001) and inter-expert (median CV of 3.9% vs. 17.3% by MG by 2 experts, p<0.001) variability. Conclusion Our results show that compared to conventional FC data analysis strategies, the here proposed AGI tool is a faster, more robust, reproducible, and standardized approach for in-depth analysis of B-lymphocyte and PC subsets circulating in human blood.
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Affiliation(s)
- Alejandro H. Delgado
- Cytognos SL, Salamanca, Spain
- Translational and Clinical Research Program, Centro de Investigación del Cáncer (CIC) and Instituto de Biología Molecular y Celular del Cancer (IBMCC), CSIC-University of Salamanca (USAL), Salamanca, Spain
| | | | - Martin Perez-Andres
- Translational and Clinical Research Program, Centro de Investigación del Cáncer (CIC) and Instituto de Biología Molecular y Celular del Cancer (IBMCC), CSIC-University of Salamanca (USAL), Salamanca, Spain
- Department of Medicine, University of Salamanca (USAL) and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Annieck M. Diks
- Department of Immunology (IMMU), Leiden University Medical Center (LUMC), Leiden, Netherlands
| | | | | | - Elena Blanco
- Translational and Clinical Research Program, Centro de Investigación del Cáncer (CIC) and Instituto de Biología Molecular y Celular del Cancer (IBMCC), CSIC-University of Salamanca (USAL), Salamanca, Spain
- Department of Medicine, University of Salamanca (USAL) and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Alba Torres-Valle
- Translational and Clinical Research Program, Centro de Investigación del Cáncer (CIC) and Instituto de Biología Molecular y Celular del Cancer (IBMCC), CSIC-University of Salamanca (USAL), Salamanca, Spain
- Department of Medicine, University of Salamanca (USAL) and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Magdalena A. Berkowska
- Department of Immunology (IMMU), Leiden University Medical Center (LUMC), Leiden, Netherlands
| | | | - J .J .M. van Dongen
- Translational and Clinical Research Program, Centro de Investigación del Cáncer (CIC) and Instituto de Biología Molecular y Celular del Cancer (IBMCC), CSIC-University of Salamanca (USAL), Salamanca, Spain
- Department of Immunology (IMMU), Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - Alberto Orfao
- Translational and Clinical Research Program, Centro de Investigación del Cáncer (CIC) and Instituto de Biología Molecular y Celular del Cancer (IBMCC), CSIC-University of Salamanca (USAL), Salamanca, Spain
- Department of Medicine, University of Salamanca (USAL) and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
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Trefond L, Billard E, Pereira B, Richard D, Vazeille E, Bonnet R, Barnich N, Andre M. Host-microbiota relationship in the pathophysiology of aseptic abscess syndrome: protocol for a multicentre case-control study (ABSCESSBIOT). BMJ Open 2023; 13:e073776. [PMID: 37541750 PMCID: PMC10407381 DOI: 10.1136/bmjopen-2023-073776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 07/13/2023] [Indexed: 08/06/2023] Open
Abstract
INTRODUCTION Aseptic abscess (AA) syndrome is a rare disease whose pathophysiology is unknown. It is often associated with inflammatory bowel disease and characterised by sterile inflammation with collections of neutrophils affecting several organs, especially the spleen. Microbiota are known to influence local and systemic immune responses, and both gut and oral microbiota perturbations have been reported in diseases associated with AA syndrome. However, interactions between these factors have never been studied in AA syndrome. The purpose of this translational case-control study (ABSCESSBIOT) is to investigate gut and/or oral microbiota in patients with AA syndrome compared with healthy controls. Moreover, microbiota associated metabolites quantification and Treg/Th17 balance characterisation will give a mechanistic insight on how microbiota may be involved in the pathophysiology of AA syndrome. METHODS AND ANALYSIS This French multicentre case-control study including 30 French centres (University hospital or regional hospital) aims to prospectively enrol 30 patients with AA syndrome with 30 matched controls and to analyse microbiota profiling (in stools and saliva), microbial metabolites quantification in stools and circulating CD4+ T cell populations. ETHICS AND DISSEMINATION This study protocol was reviewed and approved by an independent French regional review board (n° 2017-A03499-44, Comité de Protection des Personnes Ile de France 1) on 10 October 2022, and declared to the competent French authority (Agence Nationale de Sécurité du Médicament et des produits de santé, France). Oral and written informed consent will be obtained from each included patient and the control participant. Study results will be reported to the scientific community at conferences and in peer-reviewed scientific journals. TRIAL REGISTRATION NUMBER Clinical Trials web-based platform (NCT05537909).
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Affiliation(s)
- Ludovic Trefond
- Inserm U1071, M2iSH, USC-INRA 1382, Université Clermont Auvergne, Clermont-Ferrand, Auvergne-Rhône-Alpes, France
- Médecine Interne, CHU Gabriel Montpied, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Elisabeth Billard
- Inserm U1071, M2iSH, USC-INRA 1382, Université Clermont Auvergne, Clermont-Ferrand, Auvergne-Rhône-Alpes, France
| | - Bruno Pereira
- Biostatistics Unit (DRCI), CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Damien Richard
- Service de Pharmacologie médicale, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Emilie Vazeille
- Inserm U1071, M2iSH, USC-INRA 1382, Université Clermont Auvergne, Clermont-Ferrand, Auvergne-Rhône-Alpes, France
| | - Richard Bonnet
- Inserm U1071, M2iSH, USC-INRA 1382, Université Clermont Auvergne, Clermont-Ferrand, Auvergne-Rhône-Alpes, France
- Laboratoire de Bactériologie, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Nicolas Barnich
- Inserm U1071, M2iSH, USC-INRA 1382, Université Clermont Auvergne, Clermont-Ferrand, Auvergne-Rhône-Alpes, France
| | - Marc Andre
- Inserm U1071, M2iSH, USC-INRA 1382, Université Clermont Auvergne, Clermont-Ferrand, Auvergne-Rhône-Alpes, France
- Médecine Interne, CHU Gabriel Montpied, CHU Clermont-Ferrand, Clermont-Ferrand, France
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Diks AM, Teodosio C, de Mooij B, Groenland RJ, Naber BAE, de Laat IF, Vloemans SA, Rohde S, de Jonge MI, Lorenz L, Horsten D, van Dongen JJM, Berkowska MA, Holstege H. Carriers of the p.P522R variant in PLCγ2 have a slightly more responsive immune system. Mol Neurodegener 2023; 18:25. [PMID: 37081539 PMCID: PMC10116473 DOI: 10.1186/s13024-023-00604-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 02/14/2023] [Indexed: 04/22/2023] Open
Abstract
BACKGROUND The rs72824905 single-nucleotide polymorphism in the PLCG2 gene, encoding the p.P522R residue change in Phospholipase C gamma 2 (PLCγ2), associates with protection against several dementia subtypes and with increased likelihood of longevity. Cell lines and animal models indicated that p.P522R is a functional hypermorph. We aimed to confirm this in human circulating peripheral immune cells. METHODS We compared effects of p.P522R on immune system function between carriers and non-carriers (aged 59-103y), using in-depth immunophenotyping, functional B-cell and myeloid cell assays, and in vivo SARS-CoV-2 vaccination. RESULTS In line with expectations, p.P522R impacts immune cell function only slightly, but it does so across a wide array of immune cell types. Upon B-cell stimulation, we observed increased PLCγ2 phosphorylation and calcium release, suggesting increased B-cell sensitivity upon antigen recognition. Further, p.P522R-carriers had higher numbers of CD20++CD21-CD24+ naive B cells and IgG1+ memory B cells. In myeloid cells, normalized ROS production was higher upon PLCγ2-dependent stimulation. On classical monocytes, CD33 levels were elevated. Furthermore, carriers expressed lower levels of allergy-related FcεRI on several immune cell subsets. Nevertheless, carriers and non-carriers had similar serological responses to SARS-CoV-2 vaccination. CONCLUSION The immune system from p.P522R-carriers is slightly more responsive to stimulation than in non-carriers.
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Affiliation(s)
- Annieck M Diks
- Department of Immunology, Leiden University Medical Center, Albinusdreef 2, Leiden, ZA, 2333, the Netherlands
- Department of Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Cristina Teodosio
- Department of Immunology, Leiden University Medical Center, Albinusdreef 2, Leiden, ZA, 2333, the Netherlands
- Translational and Clinical Research Program, Cancer Research Center (IBMCC; University of Salamanca - CSIC), Salamanca, Spain
- Department of Medicine, University of Salamanca and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Bas de Mooij
- Department of Immunology, Leiden University Medical Center, Albinusdreef 2, Leiden, ZA, 2333, the Netherlands
| | - Rick J Groenland
- Department of Immunology, Leiden University Medical Center, Albinusdreef 2, Leiden, ZA, 2333, the Netherlands
| | - Brigitta A E Naber
- Department of Immunology, Leiden University Medical Center, Albinusdreef 2, Leiden, ZA, 2333, the Netherlands
| | - Inge F de Laat
- Department of Immunology, Leiden University Medical Center, Albinusdreef 2, Leiden, ZA, 2333, the Netherlands
| | - Sandra A Vloemans
- Department of Immunology, Leiden University Medical Center, Albinusdreef 2, Leiden, ZA, 2333, the Netherlands
| | - Susan Rohde
- Department of Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Marien I de Jonge
- Laboratory of Medical Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Linda Lorenz
- Department of Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Debbie Horsten
- Department of Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Jacques J M van Dongen
- Department of Immunology, Leiden University Medical Center, Albinusdreef 2, Leiden, ZA, 2333, the Netherlands.
- Translational and Clinical Research Program, Cancer Research Center (IBMCC; University of Salamanca - CSIC), Salamanca, Spain.
- Department of Medicine, University of Salamanca and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain.
| | - Magdalena A Berkowska
- Department of Immunology, Leiden University Medical Center, Albinusdreef 2, Leiden, ZA, 2333, the Netherlands
| | - Henne Holstege
- Department of Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.
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Diks AM, de Graaf H, Teodosio C, Groenland RJ, de Mooij B, Ibrahim M, Hill AR, Read RC, van Dongen JJ, Berkowska MA. Distinct early cellular kinetics in participants protected against colonization upon Bordetella pertussis challenge. J Clin Invest 2023; 133:163121. [PMID: 36649086 PMCID: PMC9974097 DOI: 10.1172/jci163121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 01/10/2023] [Indexed: 01/18/2023] Open
Abstract
BACKGROUNDTo date, only limited data are available on the mechanisms of protection against colonization with Bordetella pertussis in humans.METHODSIn this study, the cellular responses to B. pertussis challenge were monitored longitudinally using high-dimensional EuroFlow-based flow cytometry, allowing quantitative detection of more than 250 different immune cell subsets in the blood of 15 healthy donors.RESULTSParticipants who were protected against colonization showed different early cellular responses compared with colonized participants. Especially prominent for colonization-protected participants were the early expansion of CD36- nonclassical monocytes on day 1 (D1), natural killer cells (D3), follicular T helper cells (D1-D3), and plasma cells (D3). Plasma cell expansion on D3 correlated negatively with the CFU load on D7 and D9 after challenge. Increased plasma cell maturation on D11-D14 was found in participants with seroconversion.CONCLUSIONThese early cellular immune responses following experimental infection can now be further characterized and potentially linked to an efficient mucosal immune response, preventing colonization. Ultimately, their presence may be used to evaluate whether new B. pertussis vaccine candidates are protective against B. pertussis colonization, e.g., by bacterial challenge after vaccination.TRIAL REGISTRATIONClinicalTrials.gov NCT03751514.FUNDINGInnovative Medicines Initiative 2 Joint Undertaking and the EuroFlow Consortium.
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Affiliation(s)
- Annieck M Diks
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Hans de Graaf
- Faculty of Medicine and.,NIHR Southampton Biomedical Research Centre, University of Southampton, University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Cristina Teodosio
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands.,Centro de Investigación del Cáncer-Instituto de Biología Molecular y Celular del Cáncer (CIC-IBMCC, USAL-CSIC-FICUS) and Department of Medicine, University of Salamanca, Salamanca, Spain
| | - Rick J Groenland
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Bas de Mooij
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Muktar Ibrahim
- NIHR Southampton Biomedical Research Centre, University of Southampton, University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Alison R Hill
- NIHR Southampton Biomedical Research Centre, University of Southampton, University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Robert C Read
- NIHR Southampton Biomedical Research Centre, University of Southampton, University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Jacques Jm van Dongen
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands.,Centro de Investigación del Cáncer-Instituto de Biología Molecular y Celular del Cáncer (CIC-IBMCC, USAL-CSIC-FICUS) and Department of Medicine, University of Salamanca, Salamanca, Spain
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Monitoring of the Forgotten Immune System during Critical Illness-A Narrative Review. Medicina (B Aires) 2022; 59:medicina59010061. [PMID: 36676685 PMCID: PMC9866378 DOI: 10.3390/medicina59010061] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 12/24/2022] [Accepted: 12/25/2022] [Indexed: 12/29/2022] Open
Abstract
Immune organ failure is frequent in critical illness independent of its cause and has been acknowledged for a long time. Most patients admitted to the ICU, whether featuring infection, trauma, or other tissue injury, have high levels of alarmins expression in tissues or systemically which then activate innate and adaptive responses. Although necessary, this response is frequently maladaptive and leads to organ dysfunction. In addition, the counter-response aiming to restore homeostasis and repair injury can also be detrimental and contribute to persistent chronic illness. Despite intensive research on this topic in the last 40 years, the immune system is not routinely monitored in critical care units. In this narrative review we will first discuss the inflammatory response after acute illness and the players of maladaptive response, focusing on neutrophils, monocytes, and T cells. We will then go through commonly used biomarkers, like C-reactive protein, procalcitonin and pancreatic stone protein (PSP) and what they monitor. Next, we will discuss the strengths and limitations of flow cytometry and related techniques as an essential tool for more in-depth immune monitoring and end with a presentation of the most promising cell associated markers, namely HLA-DR expression on monocytes, neutrophil expression of CD64 and PD-1 expression on T cells. In sum, immune monitoring critically ill patients is a forgotten and missing piece in the monitoring capacity of intensive care units. New technology, including bed-side equipment and in deep cell phenotyping using emerging multiplexing techniques will likely allow the definition of endotypes and a more personalized care in the future.
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Criado I, Nieto WG, Oliva-Ariza G, Fuentes-Herrero B, Teodosio C, Lecrevisse Q, Lopez A, Romero A, Almeida J, Orfao A. Age- and Sex-Matched Normal Leukocyte Subset Ranges in the General Population Defined with the EuroFlow Lymphocyte Screening Tube (LST) for Monoclonal B-Cell Lymphocytosis (MBL) vs. Non-MBL Subjects. Cancers (Basel) 2022; 15:cancers15010058. [PMID: 36612056 PMCID: PMC9817826 DOI: 10.3390/cancers15010058] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 12/02/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022] Open
Abstract
Reference ranges of blood-circulating leukocyte populations by, e.g., age and sex, are required for monitoring immune-cell kinetics. Most previous reports in which flow cytometry has been used to define the reference ranges for leukocyte counts included a limited number of donors and/or cell populations and/or did not consider age and sex simultaneously. Moreover, other factors not previously considered in the definition of normal ranges, such as the presence of chronic-lymphocytic-leukemia (CLL)-like low-count monoclonal B-cell lymphocytosis (MBLlo), might also be associated with an altered distribution of leukocytes in blood in association with an immunodeficiency and increased risk of infection and cancer. Here, we established reference cell-count ranges for the major populations of leukocytes in blood of non-MBL and MBLlo adult Caucasians matched by age and sex using the EuroFlow Lymphocyte Screening Tube (LST). A total of 706 Caucasian adult donors—622 non-MBL and 84 MBLlo—were recruited from the general population. Among non-MBL donors, the total leukocyte, neutrophil, basophil dendritic cell and monocyte counts remained stable through adulthood, while the absolute numbers of T- and B-cell populations and plasma cells decreased with age. The number of eosinophils and NK-cell increased over time, with clear differences according to sex for certain age ranges. In MBLlo subjects, few differences in the absolute cell counts by age (vs. non-MBL) were observed, and MBLlo men and women showed similar trends to non-MBL subjects except for the B-cell count drop observed in >70 y-men, which was more pronounced in MBLlo vs. non-MBL controls. Building robust age- and sex-matched reference ranges for the most relevant immune-cell populations in the blood of non-MBL donors is essential to appropriately identify an altered immune status in different clinical settings and highlight the altered immune-cell profiles of MBLlo subjects.
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Affiliation(s)
- Ignacio Criado
- Translational and Clinical Research Program, Centro de Investigación del Cáncer (IBMCC; CSIC–Universidad de Salamanca); Cytometry Service, NUCLEUS; Departamento de Medicina, Universidad de Salamanca (https://ror.org/02f40zc51) and Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Wendy G. Nieto
- Translational and Clinical Research Program, Centro de Investigación del Cáncer (IBMCC; CSIC–Universidad de Salamanca); Cytometry Service, NUCLEUS; Departamento de Medicina, Universidad de Salamanca (https://ror.org/02f40zc51) and Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain
| | - Guillermo Oliva-Ariza
- Translational and Clinical Research Program, Centro de Investigación del Cáncer (IBMCC; CSIC–Universidad de Salamanca); Cytometry Service, NUCLEUS; Departamento de Medicina, Universidad de Salamanca (https://ror.org/02f40zc51) and Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain
| | - Blanca Fuentes-Herrero
- Translational and Clinical Research Program, Centro de Investigación del Cáncer (IBMCC; CSIC–Universidad de Salamanca); Cytometry Service, NUCLEUS; Departamento de Medicina, Universidad de Salamanca (https://ror.org/02f40zc51) and Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain
| | - Cristina Teodosio
- Translational and Clinical Research Program, Centro de Investigación del Cáncer (IBMCC; CSIC–Universidad de Salamanca); Cytometry Service, NUCLEUS; Departamento de Medicina, Universidad de Salamanca (https://ror.org/02f40zc51) and Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Quentin Lecrevisse
- Translational and Clinical Research Program, Centro de Investigación del Cáncer (IBMCC; CSIC–Universidad de Salamanca); Cytometry Service, NUCLEUS; Departamento de Medicina, Universidad de Salamanca (https://ror.org/02f40zc51) and Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Antonio Lopez
- Translational and Clinical Research Program, Centro de Investigación del Cáncer (IBMCC; CSIC–Universidad de Salamanca); Cytometry Service, NUCLEUS; Departamento de Medicina, Universidad de Salamanca (https://ror.org/02f40zc51) and Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain
| | - Alfonso Romero
- Centro de Atención Primaria de Salud Miguel Armijo, Sanidad de Castilla y León (SACyL), 37007 Salamanca, Spain
| | - Julia Almeida
- Translational and Clinical Research Program, Centro de Investigación del Cáncer (IBMCC; CSIC–Universidad de Salamanca); Cytometry Service, NUCLEUS; Departamento de Medicina, Universidad de Salamanca (https://ror.org/02f40zc51) and Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Correspondence: (J.A.); (A.O.); Tel.: +34-923-29-4811 (J.A.)
| | - Alberto Orfao
- Translational and Clinical Research Program, Centro de Investigación del Cáncer (IBMCC; CSIC–Universidad de Salamanca); Cytometry Service, NUCLEUS; Departamento de Medicina, Universidad de Salamanca (https://ror.org/02f40zc51) and Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Correspondence: (J.A.); (A.O.); Tel.: +34-923-29-4811 (J.A.)
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Pieren DKJ, Boer MC, de Wit J. The adaptive immune system in early life: The shift makes it count. Front Immunol 2022; 13:1031924. [PMID: 36466865 PMCID: PMC9712958 DOI: 10.3389/fimmu.2022.1031924] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 10/31/2022] [Indexed: 10/13/2023] Open
Abstract
Respiratory infectious diseases encountered early in life may result in life-threatening disease in neonates, which is primarily explained by the relatively naive neonatal immune system. Whereas vaccines are not readily available for all infectious diseases, vaccinations have greatly reduced childhood mortality. However, repeated vaccinations are required to reach protective immunity in infants and not all vaccinations are effective at young age. Moreover, protective adaptive immunity elicited by vaccination wanes more rapidly at young age compared to adulthood. The infant adaptive immune system has previously been considered immature but this paradigm has changed during the past years. Recent evidence shows that the early life adaptive immune system is equipped with a strong innate-like effector function to eliminate acute pathogenic threats. These strong innate-like effector capacities are in turn kept in check by a tolerogenic counterpart of the adaptive system that may have evolved to maintain balance and to reduce collateral damage. In this review, we provide insight into these aspects of the early life's adaptive immune system by addressing recent literature. Moreover, we speculate that this shift from innate-like and tolerogenic adaptive immune features towards formation of immune memory may underlie different efficacy of infant vaccination in these different phases of immune development. Therefore, presence of innate-like and tolerogenic features of the adaptive immune system may be used as a biomarker to improve vaccination strategies against respiratory and other infections in early life.
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Affiliation(s)
| | | | - Jelle de Wit
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
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Liu W, Xu J, Pu Q, Lan M, Zhang X, Gu Y, Wang Y, Zheng F, Qian J, Fan C, Sui J, Xu Y, Zhang Y, Luo J, Lin X, Shi S, Wang L, Sun C, Zhou M, Yue B, Wang F. The reference ranges and characteristics of lymphocyte parameters and the correlation between lymphocyte parameters and routine health indicators in adults from China. Immun Ageing 2022; 19:42. [PMID: 36167546 PMCID: PMC9513899 DOI: 10.1186/s12979-022-00298-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 09/19/2022] [Indexed: 11/24/2022]
Abstract
Background Assessment of immune function is of key importance in recognition of disease or healthy status, which still faces challenge in clinical practice. We conducted a 10-center study to investigate lymphocyte parameters including the number, phenotype and IFN-γ-producing ability, and routine laboratory indicators by using the standard method. Results Although the heterogeneity of lymphocyte parameters was widely found, we have established the normal ranges of these parameters by using pooled data which showed no significant difference among centers. Cluster analysis of 35 parameters found 3 interesting clusters which represented different immunological status. Cluster 1 (parameters: IFN-γ+CD4+ T cell percentage and IFN-γ+CD8+ T cell percentage) represented current lymphocyte function, which was associated with indicators such as body mass index and red blood cell; Cluster 2 (parameters: NK cell number and CD45RA+CD4+ T cell percentage) represented potential of lymphocytes, which was associated with indicators such as albumin and high-density lipoprotein. Cluster 3 (parameters: HLA-DR+CD8+ T cell percentage) represented inflammatory status, which was associated with indicators such as low-density lipoprotein, globulin and age. Correlation analysis found that nutritional indicator albumin is significantly positively correlated with lymphocyte potential. Triglyceride and body mass index were positively correlated with current lymphocyte function rather than lymphocyte potential. The loss of CD8+ T cells was extremely pronounced with increasing age and was one of the most important factors to cause immunosenescence, which may be associated with increased glucose. Conclusions We have established the normal ranges of lymphocyte parameters in different areas. This study elucidates the key indicators used to reflect the current function or potential of lymphocytes, which may provide a valuable clue for how to keep immunity healthy. Supplementary Information The online version contains supplementary material available at 10.1186/s12979-022-00298-5.
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van der Pan K, de Bruin-Versteeg S, Damasceno D, Hernández-Delgado A, van der Sluijs-Gelling AJ, van den Bossche WBL, de Laat IF, Díez P, Naber BAE, Diks AM, Berkowska MA, de Mooij B, Groenland RJ, de Bie FJ, Khatri I, Kassem S, de Jager AL, Louis A, Almeida J, van Gaans-van den Brink JAM, Barkoff AM, He Q, Ferwerda G, Versteegen P, Berbers GAM, Orfao A, van Dongen JJM, Teodosio C. Development of a standardized and validated flow cytometry approach for monitoring of innate myeloid immune cells in human blood. Front Immunol 2022; 13:935879. [PMID: 36189252 PMCID: PMC9519388 DOI: 10.3389/fimmu.2022.935879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 08/18/2022] [Indexed: 11/13/2022] Open
Abstract
Innate myeloid cell (IMC) populations form an essential part of innate immunity. Flow cytometric (FCM) monitoring of IMCs in peripheral blood (PB) has great clinical potential for disease monitoring due to their role in maintenance of tissue homeostasis and ability to sense micro-environmental changes, such as inflammatory processes and tissue damage. However, the lack of standardized and validated approaches has hampered broad clinical implementation. For accurate identification and separation of IMC populations, 62 antibodies against 44 different proteins were evaluated. In multiple rounds of EuroFlow-based design-testing-evaluation-redesign, finally 16 antibodies were selected for their non-redundancy and separation power. Accordingly, two antibody combinations were designed for fast, sensitive, and reproducible FCM monitoring of IMC populations in PB in clinical settings (11-color; 13 antibodies) and translational research (14-color; 16 antibodies). Performance of pre-analytical and analytical variables among different instruments, together with optimized post-analytical data analysis and reference values were assessed. Overall, 265 blood samples were used for design and validation of the antibody combinations and in vitro functional assays, as well as for assessing the impact of sample preparation procedures and conditions. The two (11- and 14-color) antibody combinations allowed for robust and sensitive detection of 19 and 23 IMC populations, respectively. Highly reproducible identification and enumeration of IMC populations was achieved, independently of anticoagulant, type of FCM instrument and center, particularly when database/software-guided automated (vs. manual “expert-based”) gating was used. Whereas no significant changes were observed in identification of IMC populations for up to 24h delayed sample processing, a significant impact was observed in their absolute counts after >12h delay. Therefore, accurate identification and quantitation of IMC populations requires sample processing on the same day. Significantly different counts were observed in PB for multiple IMC populations according to age and sex. Consequently, PB samples from 116 healthy donors (8-69 years) were used for collecting age and sex related reference values for all IMC populations. In summary, the two antibody combinations and FCM approach allow for rapid, standardized, automated and reproducible identification of 19 and 23 IMC populations in PB, suited for monitoring of innate immune responses in clinical and translational research settings.
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Affiliation(s)
- Kyra van der Pan
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Daniela Damasceno
- Translational and Clinical Research Program, Cancer Research Center (IBMCC; University of Salamanca - CSIC), Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca (Universidad de Salamanca, and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Alejandro Hernández-Delgado
- Translational and Clinical Research Program, Cancer Research Center (IBMCC; University of Salamanca - CSIC), Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca (Universidad de Salamanca, and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | | | - Wouter B. L. van den Bossche
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
- Department of Immunology, Department of Neurosurgery, Brain Tumor Center, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Inge F. de Laat
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Paula Díez
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Annieck M. Diks
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Bas de Mooij
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Rick J. Groenland
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Fenna J. de Bie
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Indu Khatri
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Sara Kassem
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Anniek L. de Jager
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Alesha Louis
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Julia Almeida
- Translational and Clinical Research Program, Cancer Research Center (IBMCC; University of Salamanca - CSIC), Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca (Universidad de Salamanca, and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | | | - Alex-Mikael Barkoff
- Institute of Biomedicine, Research Center for Infections and Immunity, University of Turku (UTU), Turku, Finland
| | - Qiushui He
- Institute of Biomedicine, Research Center for Infections and Immunity, University of Turku (UTU), Turku, Finland
| | - Gerben Ferwerda
- Section of Paediatric Infectious Diseases, Laboratory of Medical Immunology, Radboud Institute for Molecular Life Sciences, Nijmegen, Netherlands
| | - Pauline Versteegen
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Guy A. M. Berbers
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Alberto Orfao
- Translational and Clinical Research Program, Cancer Research Center (IBMCC; University of Salamanca - CSIC), Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca (Universidad de Salamanca, and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Jacques J. M. van Dongen
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
- Translational and Clinical Research Program, Cancer Research Center (IBMCC; University of Salamanca - CSIC), Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca (Universidad de Salamanca, and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- *Correspondence: Jacques J. M. van Dongen,
| | - Cristina Teodosio
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
- Translational and Clinical Research Program, Cancer Research Center (IBMCC; University of Salamanca - CSIC), Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca (Universidad de Salamanca, and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
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15
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Neirinck J, Emmaneel A, Buysse M, Philippé J, Van Gassen S, Saeys Y, Bossuyt X, De Buyser S, van der Burg M, Pérez-Andrés M, Orfao A, van Dongen JJM, Lambrecht BN, Kerre T, Hofmans M, Haerynck F, Bonroy C. The Euroflow PID Orientation Tube in the diagnostic workup of primary immunodeficiency: Daily practice performance in a tertiary university hospital. Front Immunol 2022; 13:937738. [PMID: 36177024 PMCID: PMC9513319 DOI: 10.3389/fimmu.2022.937738] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 08/16/2022] [Indexed: 11/23/2022] Open
Abstract
Introduction Multiparameter flow cytometry (FCM) immunophenotyping is an important tool in the diagnostic screening and classification of primary immunodeficiencies (PIDs). The EuroFlow Consortium recently developed the PID Orientation Tube (PIDOT) as a universal screening tool to identify lymphoid-PID in suspicious patients. Although PIDOT can identify different lymphoid-PIDs with high sensitivity, clinical validation in a broad spectrum of patients with suspicion of PID is missing. In this study, we investigated the diagnostic performance of PIDOT, as part of the EuroFlow diagnostic screening algorithm for lymphoid-PID, in a daily practice at a tertiary reference center for PID. Methods PIDOT was tested in 887 consecutive patients suspicious of PID at the Ghent University Hospital, Belgium. Patients were classified into distinct subgroups of lymphoid-PID vs. non-PID disease controls (non-PID DCs), according to the IUIS and ESID criteria. For the clinical validation of PIDOT, comprehensive characterization of the lymphoid defects was performed, together with the identification of the most discriminative cell subsets to distinguish lymphoid-PID from non-PID DCs. Next, a decision-tree algorithm was designed to guide subsequent FCM analyses. Results The mean number of lymphoid defects detected by PIDOT in blood was 2.87 times higher in lymphoid-PID patients vs. non-PID DCs (p < 0.001), resulting in an overall sensitivity and specificity of 87% and 62% to detect severe combined immunodeficiency (SCID), combined immunodeficiency with associated or syndromic features (CID), immune dysregulation disorder (ID), and common variable immunodeficiency (CVID). The most discriminative populations were total memory and switched memory B cells, total T cells, TCD4+cells, and naive TCD4+cells, together with serum immunoglobulin levels. Based on these findings, a decision-tree algorithm was designed to guide further FCM analyses, which resulted in an overall sensitivity and specificity for all lymphoid-PIDs of 86% and 82%, respectively. Conclusion Altogether, our findings confirm that PIDOT is a powerful tool for the diagnostic screening of lymphoid-PID, particularly to discriminate (S)CID, ID, and CVID patients from other patients suspicious of PID. The combination of PIDOT and serum immunoglobulin levels provides an efficient guide for further immunophenotypic FCM analyses, complementary to functional and genetic assays, for accurate PID diagnostics.
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Affiliation(s)
- Jana Neirinck
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Annelies Emmaneel
- Data Mining and Modelling for Biomedicine Group, Vlaams Instituut voor Biotechnologie (VIB) Center for Inflammation Research, Ghent, Belgium
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium
| | - Malicorne Buysse
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Jan Philippé
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Sofie Van Gassen
- Data Mining and Modelling for Biomedicine Group, Vlaams Instituut voor Biotechnologie (VIB) Center for Inflammation Research, Ghent, Belgium
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium
| | - Yvan Saeys
- Data Mining and Modelling for Biomedicine Group, Vlaams Instituut voor Biotechnologie (VIB) Center for Inflammation Research, Ghent, Belgium
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium
| | - Xavier Bossuyt
- Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
- Department of Laboratory Medicine, KU Leuven University Hospitals Leuven, Leuven, Belgium
| | - Stefanie De Buyser
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
| | - Mirjam van der Burg
- Laboratory for Pediatric Immunology, Department of Pediatrics, Leiden University Medical Center, Leiden, Netherlands
| | - Martín Pérez-Andrés
- Cancer Research Centre (Instituto de Biología Molecular y Celular del Cáncer (IBMCC), USAL-CSIC; CIBERONC CB16/12/00400), Institute for Biomedical Research of Salamanca (IBSAL), Department of Medicine and Cytometry Service (NUCLEUS Research Support Platform), University of Salamanca (USAL), Salamanca, Spain
- Translational and Clinical Research Program, Centro de Investigación del Cáncer and Instituto de Biología Molecular y Celular del Cáncer, Consejo Superior de Investigaciones Científicas (CSIC)-University of Salamanca (USAL), Department of Medicine, IBSAL and Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), University of Salamanca, Salamanca, Spain
| | - Alberto Orfao
- Cancer Research Centre (Instituto de Biología Molecular y Celular del Cáncer (IBMCC), USAL-CSIC; CIBERONC CB16/12/00400), Institute for Biomedical Research of Salamanca (IBSAL), Department of Medicine and Cytometry Service (NUCLEUS Research Support Platform), University of Salamanca (USAL), Salamanca, Spain
- Translational and Clinical Research Program, Centro de Investigación del Cáncer and Instituto de Biología Molecular y Celular del Cáncer, Consejo Superior de Investigaciones Científicas (CSIC)-University of Salamanca (USAL), Department of Medicine, IBSAL and Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), University of Salamanca, Salamanca, Spain
| | | | - Bart N. Lambrecht
- Laboratory of Mucosal Immunology, VIB-UGhent Center for Inflammation Research, Ghent University, Ghent, Belgium
- Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Department of Pulmonary Medicine, University Hospital Ghent, Ghent, Belgium
| | - Tessa Kerre
- Department of Hematology, Ghent University Hospital, Ghent, Belgium
| | - Mattias Hofmans
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Filomeen Haerynck
- Department of Pediatric Pulmonology and Immunology and Primary Immunodeficiency (PID) Research Lab, Ghent University Hospital, Ghent, Belgium
| | - Carolien Bonroy
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
- *Correspondence: Carolien Bonroy,
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16
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Pasmans H, Berkowska MA, Diks AM, de Mooij B, Groenland RJ, de Rond L, Nicolaie MA, van der Burg SH, van Dongen JJM, van der Klis FRM, Buisman AM. Characterization of the early cellular immune response induced by HPV vaccines. Front Immunol 2022; 13:863164. [PMID: 35924247 PMCID: PMC9341268 DOI: 10.3389/fimmu.2022.863164] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 06/23/2022] [Indexed: 11/29/2022] Open
Abstract
Introduction Current human papillomavirus (HPV) vaccines consist of virus-like particles (VLPs) which are based on the L1 protein, but they are produced by different expression systems and use different adjuvants. We performed in-depth immunophenotyping of multiple innate and adaptive immune cells after vaccination with bivalent versus nonavalent HPV vaccines. Method Twenty pre-menopausal HPV-seronegative women were enrolled and randomized to receive three-doses of either the bivalent or the nonavalent HPV vaccine. Blood samples were collected at multiple time points from baseline up to 7 months after first vaccination. Four extensive EuroFlow flow cytometry antibody panels were used to monitor various immune cell subsets. Additionally, HPV-specific memory B- and T cells were determined by ELISPOT and HPV-specific antibody levels were measured by a VLP-based multiplex immunoassay. Results In both cohorts, the numbers of plasma cells expanded in the first week after both primary and tertiary vaccination. HPV16 and HPV18-specific antibody levels and memory B and T-cell responses were higher in the bivalent than in the nonavalent vaccinees one month post third vaccination. For HPV31 and HPV45-specific antibody levels this pattern was reversed. Monocytes showed an expansion one day after vaccination in both cohorts but were significantly higher in the bivalent vaccine cohort. Large heterogeneity in responses of the other cell subsets was observed between donors. Conclusion This pilot study showed a consistent response of monocytes and plasma cells after vaccination and a considerable variation in other circulating immune cells in both types of HPV vaccines between donors.
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Affiliation(s)
- Hella Pasmans
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | | | - Annieck M. Diks
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Bas de Mooij
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Rick J. Groenland
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Lia de Rond
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - M. Alina Nicolaie
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | | | | | - Fiona R. M. van der Klis
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Anne-Marie Buisman
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
- *Correspondence: Anne-Marie Buisman,
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17
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Hoeks C, Duran G, Hellings N, Broux B. When Helpers Go Above and Beyond: Development and Characterization of Cytotoxic CD4+ T Cells. Front Immunol 2022; 13:951900. [PMID: 35903098 PMCID: PMC9320319 DOI: 10.3389/fimmu.2022.951900] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 06/21/2022] [Indexed: 11/26/2022] Open
Abstract
Once regarded as an experimental artefact, cytotoxic CD4+ T cells (CD4 CTL) are presently recognized as a biologically relevant T cell subset with important functions in anti-viral, anti-tumor, and autoimmune responses. Despite the potentially large impact on their micro-environment, the absolute cell counts of CD4 CTL within the peripheral circulation are relatively low. With the rise of single cell analysis techniques, detection of these cells is greatly facilitated. This led to a renewed appraisal of CD4 CTL and an increased insight into their heterogeneous nature and ontogeny. In this review, we summarize the developmental path from naïve CD4+ T cells to terminally differentiated CD4 CTL, and present markers that can be used to detect or isolate CD4 CTL and their precursors. Subsets of CD4 CTL and their divergent functionalities are discussed. Finally, the importance of local cues as triggers for CD4 CTL differentiation is debated, posing the question whether CD4 CTL develop in the periphery and migrate to site of inflammation when called for, or that circulating CD4 CTL reflect cells that returned to the circulation following differentiation at the local inflammatory site they previously migrated to. Even though much remains to be learned about this intriguing T cell subset, it is clear that CD4 CTL represent interesting therapeutic targets for several pathologies.
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Affiliation(s)
- Cindy Hoeks
- Neuro Immune Connections & Repair Lab, Department of Immunology and Infection, Biomedical Research Institute, Hasselt University, Hasselt, Belgium
- University MS Center (UMSC), Hasselt, Belgium
| | - Gayel Duran
- Neuro Immune Connections & Repair Lab, Department of Immunology and Infection, Biomedical Research Institute, Hasselt University, Hasselt, Belgium
- University MS Center (UMSC), Hasselt, Belgium
| | - Niels Hellings
- Neuro Immune Connections & Repair Lab, Department of Immunology and Infection, Biomedical Research Institute, Hasselt University, Hasselt, Belgium
- University MS Center (UMSC), Hasselt, Belgium
| | - Bieke Broux
- Neuro Immune Connections & Repair Lab, Department of Immunology and Infection, Biomedical Research Institute, Hasselt University, Hasselt, Belgium
- University MS Center (UMSC), Hasselt, Belgium
- *Correspondence: Bieke Broux,
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CD161 expression defines new human γδ T cell subsets. IMMUNITY & AGEING 2022; 19:11. [PMID: 35193613 PMCID: PMC8862246 DOI: 10.1186/s12979-022-00269-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 02/14/2022] [Indexed: 11/10/2022]
Abstract
Abstractγδ T cells are a highly versatile immune lineage involved in host defense and homeostasis, but questions remain around their heterogeneity, precise function and role during health and disease. We used multi−parametric flow cytometry, dimensionality reduction, unsupervised clustering, and self-organizing maps (SOM) to identify novel γδ T cell naïve/memory subsets chiefly defined by CD161 expression levels, a surface membrane receptor that can be activating or suppressive. We used middle-to-old age individuals given immune blockade is commonly used in this population. Whilst most Vδ1+subset cells exhibited a terminal differentiation phenotype, Vδ1− subset cells showed an early memory phenotype. Dimensionality reduction revealed eight γδ T cell clusters chiefly diverging through CD161 expression with CD4 and CD8 expression limited to specific subpopulations. Comparison of matched healthy elderly individuals to bronchiectasis patients revealed elevated Vδ1+ terminally differentiated effector memory cells in patients potentially linking this population with chronic proinflammatory disease.
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Age and Primary Vaccination Background Influence the Plasma Cell Response to Pertussis Booster Vaccination. Vaccines (Basel) 2022; 10:vaccines10020136. [PMID: 35214595 PMCID: PMC8878388 DOI: 10.3390/vaccines10020136] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 01/07/2022] [Accepted: 01/12/2022] [Indexed: 02/08/2023] Open
Abstract
Pertussis is a vaccine-preventable disease caused by the bacterium Bordetella pertussis. Over the past years, the incidence and mortality of pertussis increased significantly. A possible cause is the switch from whole-cell to acellular pertussis vaccines, although other factors may also contribute. Here, we applied high-dimensional flow cytometry to investigate changes in B cells in individuals of different ages and distinct priming backgrounds upon administration of an acellular pertussis booster vaccine. Participants were divided over four age cohorts. We compared longitudinal kinetics within each cohort and between the different cohorts. Changes in the B-cell compartment were correlated to numbers of vaccine-specific B- and plasma cells and serum Ig levels. Expansion and maturation of plasma cells 7 days postvaccination was the most prominent cellular change in all age groups and was most pronounced for more mature IgG1+ plasma cells. Plasma cell responses were stronger in individuals primed with whole-cell vaccine than in individuals primed with acellular vaccine. Moreover, IgG1+ and IgA1+ plasma cell expansion correlated with FHA-, Prn-, or PT- specific serum IgG or IgA levels. Our study indicates plasma cells as a potential early cellular marker of an immune response and contributes to understanding differences in immune responses between age groups and primary vaccination backgrounds.
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[Pericardial and myocardial involvement after SARS-CoV-2 infection: a cross-sectional descriptive study in healthcare workers]. Rev Esp Cardiol 2022; 75:735-747. [PMID: 35039707 PMCID: PMC8755423 DOI: 10.1016/j.recesp.2021.10.021] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 10/22/2021] [Indexed: 11/24/2022]
Abstract
Introduction and objectives The cardiac sequelae of SARS-CoV-2 infection are still poorly documented. We conducted a cross-sectional study in healthcare workers to report evidence of pericardial and myocardial involvement after SARS-CoV-2 infection.Methods We studied 139 healthcare workers with confirmed past SARS-CoV-2 infection. Participants underwent clinical assessment, electrocardiography, and laboratory tests, including immune cell profiling and cardiac magnetic resonance (CMR). Clinically suspected pericarditis was diagnosed when classic criteria were present and clinically suspected myocarditis was based on the combination of at least 2 CMR criteria.Results Median age was 52 (41-57) years, 71.9% were women, and 16.5% were previously hospitalized for COVID-19 pneumonia. On examination (10.4 [9.3-11.0] weeks after infection-like symptoms), participants showed hemodynamic stability. Chest pain, dyspnea or palpitations were present in 41.7% participants, electrocardiographic abnormalities in 49.6%, NT-proBNP elevation in 7.9%, troponin in 0.7%, and CMR abnormalities in 60.4%. A total of 30.9% participants met criteria for either pericarditis and/or myocarditis: isolated pericarditis was diagnosed in 5.8%, myopericarditis in 7.9%, and isolated myocarditis in 17.3%. Most participants (73.2%) showed altered immune cell counts in blood, particularly decreased eosinophil (27.3%; P < .001) and increased cytotoxic T cell numbers (17.3%; P < .001). Clinically suspected pericarditis was associated (P < .005) with particularly elevated cytotoxic T cells and decreased eosinophil counts, while participants diagnosed with clinically suspected myopericarditis or myocarditis had lower (P < .05) neutrophil counts, natural killer-cells, and plasma cells.Conclusions Pericardial and myocardial involvement with clinical stability are frequent after SARS-CoV-2 infection and are associated with specific immune cell profiles.
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21
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Reference ranges of T lymphocyte subsets by single-platform among healthy population in southwest China. BMC Immunol 2021; 22:80. [PMID: 34930155 PMCID: PMC8690880 DOI: 10.1186/s12865-021-00474-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Accepted: 12/13/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Appropriate reference ranges of T lymphocyte subsets are essential for immune status evaluation of patients with immunological diseases. We aim to establish the age- and sex-related reference intervals of T lymphocyte subsets by single-platform for the southwest China population using the indirect method with the data resulting from 53,822 cases of periodic health examination individuals in the Laboratory Information System (LIS) of West China Hospital from 2018 to 2020. METHODS We used the Box-Cox conversion combined with the Tukey method to normalize the data and eliminate the outliers, and the nonparametric method to estimate the 95% distribution reference intervals. RESULTS We initially established the reference ranges of T lymphocyte subsets by single-platform among healthy population in southwest China by indirect method (See text for details). Using the standard normal deviate test (z-test) suggested by Harris and Boyd according to CLSI EP28-A3C, which is more scientific, we found the reference ranges of T lymphocyte subsets should be differentiated by ages and genders since the reference ranges of T lymphocyte subsets by single-platform in different ages and genders are significantly different. CONCLUSIONS We further demonstrated the absolute count of CD3 + T cell, CD3 + CD4 + T cell, CD3 + CD8 + T cell decreased with aging, which is more marked in men and CD3 + CD8 + T cell count, and the obtained reference intervals were superior to the reference intervals derived from the reagent specification currently in use.
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Perazzio SF, Palmeira P, Moraes-Vasconcelos D, Rangel-Santos A, de Oliveira JB, Andrade LEC, Carneiro-Sampaio M. A Critical Review on the Standardization and Quality Assessment of Nonfunctional Laboratory Tests Frequently Used to Identify Inborn Errors of Immunity. Front Immunol 2021; 12:721289. [PMID: 34858394 PMCID: PMC8630704 DOI: 10.3389/fimmu.2021.721289] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Accepted: 10/05/2021] [Indexed: 12/24/2022] Open
Abstract
Inborn errors of immunity (IEI), which were previously termed primary immunodeficiency diseases, represent a large and growing heterogeneous group of diseases that are mostly monogenic. In addition to increased susceptibility to infections, other clinical phenotypes have recently been associated with IEI, such as autoimmune disorders, severe allergies, autoinflammatory disorders, benign lymphoproliferative diseases, and malignant manifestations. The IUIS 2019 classification comprises 430 distinct defects that, although rare individually, represent a group affecting a significant number of patients, with an overall prevalence of 1:1,200-2,000 in the general population. Early IEI diagnosis is critical for appropriate therapy and genetic counseling, however, this process is deeply dependent on accurate laboratory tests. Despite the striking importance of laboratory data for clinical immunologists, several IEI-relevant immunoassays still lack standardization, including standardized protocols, reference materials, and external quality assessment programs. Moreover, well-established reference values mostly remain to be determined, especially for early ages, when the most severe conditions manifest and diagnosis is critical for patient survival. In this article, we intend to approach the issue of standardization and quality control of the nonfunctional diagnostic tests used for IEI, focusing on those frequently utilized in clinical practice. Herein, we will focus on discussing the issues of nonfunctional immunoassays (flow cytometry, enzyme-linked immunosorbent assays, and turbidimetry/nephelometry, among others), as defined by the pure quantification of proteins or cell subsets without cell activation or cell culture-based methods.
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Affiliation(s)
- Sandro Félix Perazzio
- Division of Rheumatology, Universidade Federal de São Paulo, Sao Paulo, Brazil.,Immunology Division, Fleury Medicine and Health Laboratory, Sao Paulo, Brazil
| | - Patricia Palmeira
- Laboratório de Investigação Médica (LIM-36), Hospital das Clinicas da Faculdade de Medicina da Universidade de São Paulo (FMUSP), Sao Paulo, Brazil
| | - Dewton Moraes-Vasconcelos
- Laboratório de Investigação Médica (LIM-56), Hospital das Clinicas da Faculdade de Medicina da Universidade de São Paulo (FMUSP), Sao Paulo, Brazil
| | - Andréia Rangel-Santos
- Laboratório de Investigação Médica (LIM-36), Hospital das Clinicas da Faculdade de Medicina da Universidade de São Paulo (FMUSP), Sao Paulo, Brazil
| | | | - Luis Eduardo Coelho Andrade
- Division of Rheumatology, Universidade Federal de São Paulo, Sao Paulo, Brazil.,Immunology Division, Fleury Medicine and Health Laboratory, Sao Paulo, Brazil
| | - Magda Carneiro-Sampaio
- Laboratório de Investigação Médica (LIM-36), Hospital das Clinicas da Faculdade de Medicina da Universidade de São Paulo (FMUSP), Sao Paulo, Brazil.,Department of Pediatrics, Faculdade de Medicina da Universidade de São Paulo (FMUSP), Sao Paulo, Brazil
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A case report describing the immune response of an infant with congenital heart disease and severe COVID-19. COMMUNICATIONS MEDICINE 2021; 1:47. [PMID: 35602234 PMCID: PMC9053208 DOI: 10.1038/s43856-021-00047-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 10/21/2021] [Indexed: 12/21/2022] Open
Abstract
Background Children with SARS-CoV-2 infection generally present with milder symptoms or are asymptomatic in comparison with adults, however severe disease occurs in a subset of children. To date, the immune correlates of severe COVID-19 in young children have been poorly characterised. Methods We report the kinetics of immune responses in relation to clinical and virological features in an infant with acute severe COVID-19 using high-dimensional flow cytometry and multiplex cytokine analysis. Results Systemic cellular and cytokine profiling show an initial increase in neutrophils and monocytes with depletion of lymphoid cell populations (particularly CD8 + T and NK cells) and elevated inflammatory cytokines. Expansion of memory CD4 + T (but not CD8 + T) cells occurred over time, with a predominant Th2 bias. Marked activation of T cell populations observed during the acute infection gradually resolved as the child recovered. Substantial in vitro activation of T-cell populations and robust cytokine production, in response to inactivated SARS-CoV-2 stimulation, was observed 3 months after infection indicating durable, long-lived cellular immune memory. Conclusions These findings provide important insights into the immune response of a young infant with severe COVID-19 and will help to inform future research into therapeutic targets for high-risk groups. SARS-CoV-2 infection can cause COVID-19, which is usually a mild disease in children. However, severe illness requiring intensive care management can occur, particularly in younger children and those with chronic disease. The immune system likely plays an important role in susceptibility to severe disease, but few studies have examined the immune response in infants with severe COVID-19. Here, we provide an in-depth analysis of the clinical features and immune response over time in a 5-month-old infant with congenital heart disease and severe COVID-19. Robust immune responses were observed up to 3 months following infection, providing evidence of durable and long-lived immunity against SARS-CoV-2. These findings provide important insights into the immune responses of a young infant with severe COVID-19 and might help inform future research into therapeutic targets. Wurzel et al. describe the kinetics of the immune response in relation to clinical and virological features in a 5-month old infant with congenital heart disease and severe COVID-19. The immune response was characterised by an elevated inflammatory response in the acute phase of infection, followed by Th2 skewing and prolonged T cell activation.
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24
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Eiros R, Barreiro-Pérez M, Martín-García A, Almeida J, Villacorta E, Pérez-Pons A, Merchán S, Torres-Valle A, Sánchez-Pablo C, González-Calle D, Pérez-Escurza O, Toranzo I, Díaz-Peláez E, Fuentes-Herrero B, Macías-Álvarez L, Oliva-Ariza G, Lecrevisse Q, Fluxa R, Bravo-Grande JL, Orfao A, Sánchez PL. Pericardial and myocardial involvement after SARS-CoV-2 infection: a cross-sectional descriptive study in healthcare workers. REVISTA ESPANOLA DE CARDIOLOGIA (ENGLISH ED.) 2021; 75:734-746. [PMID: 34866030 PMCID: PMC8570413 DOI: 10.1016/j.rec.2021.11.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 10/22/2021] [Indexed: 12/14/2022]
Abstract
Introduction and objectives The cardiac sequelae of SARS-CoV-2 infection are still poorly documented. We conducted a cross-sectional study in healthcare workers to report evidence of pericardial and myocardial involvement after SARS-CoV-2 infection. Methods We studied 139 healthcare workers with confirmed past SARS-CoV-2 infection. Participants underwent clinical assessment, electrocardiography, and laboratory tests, including immune cell profiling and cardiac magnetic resonance (CMR). Clinically suspected pericarditis was diagnosed when classic criteria were present and clinically suspected myocarditis was based on the combination of at least 2 CMR criteria. Results Median age was 52 (41-57) years, 71.9% were women, and 16.5% were previously hospitalized for COVID-19 pneumonia. On examination (10.4 [9.3-11.0] weeks after infection-like symptoms), participants showed hemodynamic stability. Chest pain, dyspnea or palpitations were present in 41.7% participants, electrocardiographic abnormalities in 49.6%, NT-proBNP elevation in 7.9%, troponin in 0.7%, and CMR abnormalities in 60.4%. A total of 30.9% participants met criteria for either pericarditis and/or myocarditis: isolated pericarditis was diagnosed in 5.8%, myopericarditis in 7.9%, and isolated myocarditis in 17.3%. Most participants (73.2%) showed altered immune cell counts in blood, particularly decreased eosinophil (27.3%; P < .001) and increased cytotoxic T cell numbers (17.3%; P < .001). Clinically suspected pericarditis was associated (P < .005) with particularly elevated cytotoxic T cells and decreased eosinophil counts, while participants diagnosed with clinically suspected myopericarditis or myocarditis had lower (P < .05) neutrophil counts, natural killer-cells, and plasma cells. Conclusions Pericardial and myocardial involvement with clinical stability are frequent after SARS-CoV-2 infection and are associated with specific immune cell profiles.
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Affiliation(s)
- Rocío Eiros
- Servicio de Cardiología, Hospital Universitario de Salamanca, Salamanca, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain; Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
| | - Manuel Barreiro-Pérez
- Servicio de Cardiología, Hospital Universitario de Salamanca, Salamanca, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain; Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
| | - Ana Martín-García
- Servicio de Cardiología, Hospital Universitario de Salamanca, Salamanca, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain; Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain; Facultad de Medicina, Universidad de Salamanca, Salamanca, Spain
| | - Julia Almeida
- Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain; Facultad de Medicina, Universidad de Salamanca, Salamanca, Spain; Centro de Investigación del Cáncer, Universidad de Salamanca-CSIC, Salamanca, Spain; Servicio de Citometría, Nucleus - Universidad de Salamanca, Salamanca, Spain; Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain
| | - Eduardo Villacorta
- Servicio de Cardiología, Hospital Universitario de Salamanca, Salamanca, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain; Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain; Facultad de Medicina, Universidad de Salamanca, Salamanca, Spain
| | - Alba Pérez-Pons
- Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain; Centro de Investigación del Cáncer, Universidad de Salamanca-CSIC, Salamanca, Spain; Servicio de Citometría, Nucleus - Universidad de Salamanca, Salamanca, Spain; Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain
| | - Soraya Merchán
- Servicio de Cardiología, Hospital Universitario de Salamanca, Salamanca, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain; Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
| | - Alba Torres-Valle
- Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain; Centro de Investigación del Cáncer, Universidad de Salamanca-CSIC, Salamanca, Spain; Servicio de Citometría, Nucleus - Universidad de Salamanca, Salamanca, Spain; Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain
| | - Clara Sánchez-Pablo
- Servicio de Cardiología, Hospital Universitario de Salamanca, Salamanca, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain; Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
| | - David González-Calle
- Servicio de Cardiología, Hospital Universitario de Salamanca, Salamanca, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain; Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
| | - Oihane Pérez-Escurza
- Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain; Centro de Investigación del Cáncer, Universidad de Salamanca-CSIC, Salamanca, Spain; Servicio de Citometría, Nucleus - Universidad de Salamanca, Salamanca, Spain; Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain
| | - Inés Toranzo
- Servicio de Cardiología, Hospital Universitario de Salamanca, Salamanca, Spain; Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
| | - Elena Díaz-Peláez
- Servicio de Cardiología, Hospital Universitario de Salamanca, Salamanca, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain; Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
| | - Blanca Fuentes-Herrero
- Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain; Centro de Investigación del Cáncer, Universidad de Salamanca-CSIC, Salamanca, Spain; Servicio de Citometría, Nucleus - Universidad de Salamanca, Salamanca, Spain; Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain
| | - Laura Macías-Álvarez
- Servicio de Cardiología, Hospital Universitario de Salamanca, Salamanca, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain; Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
| | - Guillermo Oliva-Ariza
- Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain; Centro de Investigación del Cáncer, Universidad de Salamanca-CSIC, Salamanca, Spain; Servicio de Citometría, Nucleus - Universidad de Salamanca, Salamanca, Spain; Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain
| | - Quentin Lecrevisse
- Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain; Centro de Investigación del Cáncer, Universidad de Salamanca-CSIC, Salamanca, Spain; Servicio de Citometría, Nucleus - Universidad de Salamanca, Salamanca, Spain; Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain
| | - Rafael Fluxa
- Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain; Facultad de Medicina, Universidad de Salamanca, Salamanca, Spain; Centro de Investigación del Cáncer, Universidad de Salamanca-CSIC, Salamanca, Spain; Servicio de Citometría, Nucleus - Universidad de Salamanca, Salamanca, Spain; Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain
| | - José L Bravo-Grande
- Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain; Servicio de Prevención de Riesgos Laborales, Hospital Universitario de Salamanca, Salamanca, Spain
| | - Alberto Orfao
- Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain; Facultad de Medicina, Universidad de Salamanca, Salamanca, Spain; Centro de Investigación del Cáncer, Universidad de Salamanca-CSIC, Salamanca, Spain; Servicio de Citometría, Nucleus - Universidad de Salamanca, Salamanca, Spain; Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain
| | - Pedro L Sánchez
- Servicio de Cardiología, Hospital Universitario de Salamanca, Salamanca, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Spain; Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain; Facultad de Medicina, Universidad de Salamanca, Salamanca, Spain.
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Diks AM, Overduin LA, van Leenen LD, Slobbe L, Jolink H, Visser LG, van Dongen JJM, Berkowska MA. B-Cell Immunophenotyping to Predict Vaccination Outcome in the Immunocompromised - A Systematic Review. Front Immunol 2021; 12:690328. [PMID: 34557188 PMCID: PMC8452967 DOI: 10.3389/fimmu.2021.690328] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 08/13/2021] [Indexed: 11/13/2022] Open
Abstract
Vaccination is the most effective measure to prevent infections in the general population. Its efficiency strongly depends on the function and composition of the immune system. If the immune system lacks critical components, patients will not be fully protected despite a completed vaccination schedule. Antigen-specific serum immunoglobulin levels are broadly used correlates of protection. These are the products of terminally differentiated B cells - plasma cells. Here we reviewed the literature on how aberrancies in B-cell composition and function influence immune responses to vaccinations. In a search through five major literature databases, 6,537 unique articles published from 2000 and onwards were identified. 75 articles were included along three major research lines: extremities of life, immunodeficiency and immunosuppression. Details of the protocol can be found in the International Prospective Register of Systematic Reviews [PROSPERO (registration number CRD42021226683)]. The majority of articles investigated immune responses in adults, in which vaccinations against pneumococci and influenza were strongly represented. Lack of baseline information was the most common reason of exclusion. Irrespective of study group, three parameters measured at baseline seemed to have a predictive value in assessing vaccine efficacy: (1) distribution of B-cell subsets (mostly a reduction in memory B cells), (2) presence of exhausted/activated B cells, or B cells with an aberrant phenotype, and (3) pre-existing immunological memory. In this review we showed how pre-immunization (baseline) knowledge of circulating B cells can be used to predict vaccination efficacy. We hope that this overview will contribute to optimizing vaccination strategies, especially in immunocompromised patients.
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Affiliation(s)
- Annieck M Diks
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - Lisanne A Overduin
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands.,Department of Infectious Diseases, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - Laurens D van Leenen
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - Lennert Slobbe
- Department of Internal Medicine, Section of Infectious Diseases, Institute for Tropical Diseases, Erasmus Medical Center (MC), Rotterdam, Netherlands
| | - Hetty Jolink
- Department of Infectious Diseases, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - Leonardus G Visser
- Department of Infectious Diseases, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | | | - Magdalena A Berkowska
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands
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26
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Age-Associated Characteristics of CD4+ T-Cell Composition in Patients with Atherosclerosis. IMMUNO 2021. [DOI: 10.3390/immuno1030019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background. We aimed to analyze the contents of the main CD4+ T-cell subsets in patients with atherosclerosis (AS) depending on age. Methods. Male patients with coronary and/or carotid AS, who are non-smokers, and who are receiving statins were divided into three age groups (I—<55 y.o. (n = 23), II—55–64 y.o. (n = 42), III—≥65 y.o. (n = 46)). Leukocyte phenotyping was performed by direct immunofluorescence and flow cytometry. For intracellular cytokine detection, blood mononuclear cells were pre-activated with phorbol 12-myristate 13-acetate and ionomycin in the presence of an intracellular vesicle transport blocker monensin. Results. The groups did not differ in traditional CVD risk factors and AS severity. The content of CD4+ T-cells was lower in group III and II than in group I. The content of CD4+CD25high Treg was lower in group III than in groups I and II. No differences in the quantities of the primed CD39+CD45RA− and CD278high Treg, CD4+INFγ+ Th1, CD4+IL17+ Th17, and CD4+IL17+INFγ+ Th1/17 were observed. There were negative correlations between the values of CD4+ T-cells, CD4+CD45RA+ T-cells, CD4+CD25high Treg, CD4+CD25highCD45RA+ Treg, and age. Conclusion. In patients with AS, the age-related depletion of naive CD4+ T-cells also extends to the regulatory compartment. This phenomenon should be considered when studying the impact of the immune cells on the progression of AS.
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Improved Sézary cell detection and novel insights into immunophenotypic and molecular heterogeneity in Sézary syndrome. Blood 2021; 138:2539-2554. [PMID: 34314480 DOI: 10.1182/blood.2021012286] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 07/14/2021] [Indexed: 11/20/2022] Open
Abstract
Sézary syndrome (SS) is an aggressive leukemic form of Cutaneous T-cell Lymphoma with neoplastic CD4+ T cells present in skin, lymph nodes, and blood. Despite advances in therapy, prognosis remains poor with a 5-year overall survival of 30%. The immunophenotype of Sézary cells is diverse, which hampers efficient diagnosis, sensitive disease monitoring, and accurate assessment of treatment response. Comprehensive immunophenotypic profiling of Sézary cells with an in-depth analysis of maturation and functional subsets has not been performed thus far. We immunophenotypically profiled 24 SS patients employing standardized and sensitive EuroFlow-based multiparameter flow cytometry (MFC). We accurately identified and quantified Sézary cells in blood and performed an in-depth assessment of their phenotypic characteristics in comparison with their normal counterparts in the blood CD4+ T-cell compartment. We observed inter-and intra-patient heterogeneity and phenotypic changes over time. Sézary cells exhibited phenotypes corresponding with classical and non-classical T helper subsets with different maturation phenotypes. We combined MFC analyses with FACS cell sorting and performed RNA-sequencing studies on purified subsets of malignant Sézary cells and normal CD4+ T cells of the same patients. We confirmed pure mono-clonality in Sézary subsets, we compared transcriptomes of phenotypically distinct Sézary subsets and identified novel down-regulated genes, most remarkable THEMIS and LAIR1 which discriminate Sézary cells from normal residual CD4+ T cells. Together, these findings further unravel the heterogeneity of Sézary cell subpopulations within and between patients. These new data will support improved blood staging and more accurate disease monitoring.
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28
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Diks AM, Khatri I, Oosten LE, de Mooij B, Groenland RJ, Teodosio C, Perez-Andres M, Orfao A, Berbers GAM, Zwaginga JJ, van Dongen JJM, Berkowska MA. Highly Sensitive Flow Cytometry Allows Monitoring of Changes in Circulating Immune Cells in Blood After Tdap Booster Vaccination. Front Immunol 2021; 12:666953. [PMID: 34177905 PMCID: PMC8223751 DOI: 10.3389/fimmu.2021.666953] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 05/17/2021] [Indexed: 12/21/2022] Open
Abstract
Antigen-specific serum immunoglobulin (Ag-specific Ig) levels are broadly used as correlates of protection. However, in several disease and vaccination models these fail to predict immunity. In these models, in-depth knowledge of cellular processes associated with protective versus poor responses may bring added value. We applied high-throughput multicolor flow cytometry to track over-time changes in circulating immune cells in 10 individuals following pertussis booster vaccination (Tdap, Boostrix®, GlaxoSmithKline). Next, we applied correlation network analysis to extensively investigate how changes in individual cell populations correlate with each other and with Ag-specific Ig levels. We further determined the most informative cell subsets and analysis time points for future studies. Expansion and maturation of total IgG1 plasma cells, which peaked at day 7 post-vaccination, was the most prominent cellular change. Although these cells preceded the increase in Ag-specific serum Ig levels, they did not correlate with the increase of Ig levels. In contrast, strong correlation was observed between Ag-specific IgGs and maximum expansion of total IgG1 and IgA1 memory B cells at days 7 to 28. Changes in circulating T cells were limited, implying the need for a more sensitive approach. Early changes in innate immune cells, i.e. expansion of neutrophils, and expansion and maturation of monocytes up to day 5, most likely reflected their responses to local damage and adjuvant. Here we show that simultaneous monitoring of multiple circulating immune subsets in blood by flow cytometry is feasible. B cells seem to be the best candidates for vaccine monitoring.
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Affiliation(s)
- Annieck M. Diks
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Indu Khatri
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
- Leiden Computational Biology Center, Leiden University Medical Center, Leiden, Netherlands
| | | | - Bas de Mooij
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Rick J. Groenland
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Cristina Teodosio
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Martin Perez-Andres
- Cancer Research Centre (IBMCC, USAL-CSIC; CIBERONC CB16/12/00400), Institute for Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Department of Medicine and Cytometry Service (NUCLEUS Research Support Platform), University of Salamanca (USAL), Salamanca, Spain
| | - Alberto Orfao
- Cancer Research Centre (IBMCC, USAL-CSIC; CIBERONC CB16/12/00400), Institute for Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Department of Medicine and Cytometry Service (NUCLEUS Research Support Platform), University of Salamanca (USAL), Salamanca, Spain
| | - Guy A. M. Berbers
- Center for Infectious Disease Control, National Institute of Public Health and the Environment, Bilthoven, Netherlands
| | - Jaap Jan Zwaginga
- Department of Hematology, Leiden University Medical Center, Leiden, Netherlands
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Lhermitte L, Barreau S, Morf D, Fernandez P, Grigore G, Barrena S, de Bie M, Flores-Montero J, Brüggemann M, Mejstrikova E, Nierkens S, Burgos L, Caetano J, Gaipa G, Buracchi C, da Costa ES, Sedek L, Szczepański T, Aanei CM, van der Sluijs-Gelling A, Delgado AH, Fluxa R, Lecrevisse Q, Pedreira CE, van Dongen JJM, Orfao A, van der Velden VHJ. Automated identification of leukocyte subsets improves standardization of database-guided expert-supervised diagnostic orientation in acute leukemia: a EuroFlow study. Mod Pathol 2021; 34:59-69. [PMID: 32999413 PMCID: PMC7806506 DOI: 10.1038/s41379-020-00677-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 08/21/2020] [Accepted: 08/21/2020] [Indexed: 02/06/2023]
Abstract
Precise classification of acute leukemia (AL) is crucial for adequate treatment. EuroFlow has previously designed an AL orientation tube (ALOT) to guide toward the relevant classification panel and final diagnosis. In this study, we designed and validated an algorithm for automated (database-supported) gating and identification (AGI tool) of cell subsets within samples stained with ALOT. A reference database of normal peripheral blood (PB, n = 41) and bone marrow (BM; n = 45) samples analyzed with the ALOT was constructed, and served as a reference for the AGI tool to automatically identify normal cells. Populations not unequivocally identified as normal cells were labeled as checks and were classified by an expert. Additional normal BM (n = 25) and PB (n = 43) and leukemic samples (n = 109), analyzed in parallel by experts and the AGI tool, were used to evaluate the AGI tool. Analysis of normal PB and BM samples showed low percentages of checks (<3% in PB, <10% in BM), with variations between different laboratories. Manual analysis and AGI analysis of normal and leukemic samples showed high levels of correlation between cell numbers (r2 > 0.95 for all cell types in PB and r2 > 0.75 in BM) and resulted in highly concordant classification of leukemic cells by our previously published automated database-guided expert-supervised orientation tool for immunophenotypic diagnosis and classification of acute leukemia (Compass tool). Similar data were obtained using alternative, commercially available tubes, confirming the robustness of the developed tools. The AGI tool represents an innovative step in minimizing human intervention and requirements in expertise, toward a "sample-in and result-out" approach which may result in more objective and reproducible data analysis and diagnostics. The AGI tool may improve quality of immunophenotyping in individual laboratories, since high percentages of checks in normal samples are an alert on the quality of the internal procedures.
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Affiliation(s)
- Ludovic Lhermitte
- grid.508487.60000 0004 7885 7602Institut Necker-Enfants Malades, Institut National de Recherche Médicale U1151, Laboratory of Onco-Hematology, Assistance Publique-Hôpitaux de Paris, Hôpital Necker Enfants-Malades, Université de Paris, Paris, France
| | - Sylvain Barreau
- grid.508487.60000 0004 7885 7602Institut Necker-Enfants Malades, Institut National de Recherche Médicale U1151, Laboratory of Onco-Hematology, Assistance Publique-Hôpitaux de Paris, Hôpital Necker Enfants-Malades, Université de Paris, Paris, France
| | - Daniela Morf
- grid.413357.70000 0000 8704 3732FACS/Stem Cell Laboratory, Kantonsspital Aarau, Aarau, Switzerland
| | - Paula Fernandez
- grid.413357.70000 0000 8704 3732FACS/Stem Cell Laboratory, Kantonsspital Aarau, Aarau, Switzerland
| | | | - Susana Barrena
- Cytognos SL, Salamanca, Spain ,Translational and Clinical Research Program, Cancer Research Centre (IBMCC, CSIC-USAL), Cytometry Service, NUCLEUS, Salamanca, Spain ,grid.11762.330000 0001 2180 1817Department of Medicine, University of Salamanca (USAL), Salamanca, Spain ,grid.452531.4Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain ,grid.413448.e0000 0000 9314 1427Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Maaike de Bie
- grid.5645.2000000040459992XDepartment of Immunology, Laboratory for Medical Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Juan Flores-Montero
- Translational and Clinical Research Program, Cancer Research Centre (IBMCC, CSIC-USAL), Cytometry Service, NUCLEUS, Salamanca, Spain ,grid.11762.330000 0001 2180 1817Department of Medicine, University of Salamanca (USAL), Salamanca, Spain ,grid.452531.4Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain ,grid.413448.e0000 0000 9314 1427Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Monika Brüggemann
- grid.412468.d0000 0004 0646 2097Department of Hematology, University of Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Ester Mejstrikova
- grid.4491.80000 0004 1937 116XDepartment of Pediatric Hematology and Oncology, University Hospital Motol, Charles University, Prague, Czechia
| | - Stefan Nierkens
- grid.487647.ePrincess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Leire Burgos
- grid.411730.00000 0001 2191 685XApplied Medical Research Center (CIMA), IDISNA, Clinica Universidad de Navarra (UNAV), Pamplona, Spain
| | - Joana Caetano
- grid.418711.a0000 0004 0631 0608Hemato-Oncology Laboratory, Portuguese Institute of Oncology, Lisbon, Portugal
| | - Giuseppe Gaipa
- grid.7563.70000 0001 2174 1754Tettamanti Research Center, Pediatric Clinic University of Milano Bicocca, Monza, MB Italy
| | - Chiara Buracchi
- grid.7563.70000 0001 2174 1754Tettamanti Research Center, Pediatric Clinic University of Milano Bicocca, Monza, MB Italy
| | - Elaine Sobral da Costa
- grid.8536.80000 0001 2294 473XPediatrics Institute IPPMG, Faculty of Medicine, Federal University of Rio de Janeiro, Av. Horacio Macedo, Predio do CT, CEP, Rio de Janeiro, 21941-914 Brazil
| | - Lukasz Sedek
- grid.411728.90000 0001 2198 0923Department of Microbiology and Immunology, Medical University of Silesia in Katowice, Zabrze, Poland
| | - Tomasz Szczepański
- grid.411728.90000 0001 2198 0923Department of Pediatric Hematology and Oncology, Medical University of Silesia in Katowice, Zabrze, Poland
| | - Carmen-Mariana Aanei
- grid.412954.f0000 0004 1765 1491Laboratory of Hematology, University Hospital of Saint-Etienne, Saint-Etienne, France
| | - Alita van der Sluijs-Gelling
- grid.10419.3d0000000089452978Department of Immunohematology and Blood Transfusion (IHB), Leiden University Medical Center (LUMC), Leiden, The Netherlands
| | - Alejandro Hernández Delgado
- Cytognos SL, Salamanca, Spain ,Translational and Clinical Research Program, Cancer Research Centre (IBMCC, CSIC-USAL), Cytometry Service, NUCLEUS, Salamanca, Spain ,grid.11762.330000 0001 2180 1817Department of Medicine, University of Salamanca (USAL), Salamanca, Spain ,grid.452531.4Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain ,grid.413448.e0000 0000 9314 1427Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | | | - Quentin Lecrevisse
- Translational and Clinical Research Program, Cancer Research Centre (IBMCC, CSIC-USAL), Cytometry Service, NUCLEUS, Salamanca, Spain ,grid.11762.330000 0001 2180 1817Department of Medicine, University of Salamanca (USAL), Salamanca, Spain ,grid.452531.4Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain ,grid.413448.e0000 0000 9314 1427Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Carlos E. Pedreira
- grid.8536.80000 0001 2294 473XSystems and Computing Department (PESC), COPPE, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | - Jacques J. M. van Dongen
- grid.10419.3d0000000089452978Department of Immunohematology and Blood Transfusion (IHB), Leiden University Medical Center (LUMC), Leiden, The Netherlands
| | - Alberto Orfao
- Translational and Clinical Research Program, Cancer Research Centre (IBMCC, CSIC-USAL), Cytometry Service, NUCLEUS, Salamanca, Spain ,grid.11762.330000 0001 2180 1817Department of Medicine, University of Salamanca (USAL), Salamanca, Spain ,grid.452531.4Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain ,grid.413448.e0000 0000 9314 1427Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Vincent H. J. van der Velden
- grid.5645.2000000040459992XDepartment of Immunology, Laboratory for Medical Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
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30
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Gutiérrez-Bautista JF, Rodriguez-Nicolas A, Rosales-Castillo A, Jiménez P, Garrido F, Anderson P, Ruiz-Cabello F, López-Ruz MÁ. Negative Clinical Evolution in COVID-19 Patients Is Frequently Accompanied With an Increased Proportion of Undifferentiated Th Cells and a Strong Underrepresentation of the Th1 Subset. Front Immunol 2020; 11:596553. [PMID: 33324414 PMCID: PMC7726249 DOI: 10.3389/fimmu.2020.596553] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 11/03/2020] [Indexed: 01/08/2023] Open
Abstract
The severity of SARS-CoV-2 infection has been related to uncontrolled inflammatory innate responses and impaired adaptive immune responses mostly due to exhausted T lymphocytes and lymphopenia. In this work we have characterized the nature of the lymphopenia and demonstrate a set of factors that hinder the effective control of virus infection and the activation and arming of effector cytotoxic T CD8 cells and showing signatures defining a high-risk population. We performed immune profiling of the T helper (Th) CD4+ and T CD8+ cell compartments in peripheral blood of 144 COVID-19 patients using multiparametric flow cytometry analysis. On the one hand, there was a consistent lymphopenia with an overrepresentation of non-functional T cells, with an increased percentage of naive Th cells (CD45RA+, CXCR3-, CCR4-, CCR6-, CCR10-) and persistently low frequency of markers associated with Th1, Th17, and Th1/Th17 memory-effector T cells compared to healthy donors. On the other hand, the most profound alteration affected the Th1 subset, which may explain the poor T cells responses and the persistent blood virus load. Finally, the decrease in Th1 cells may also explain the low frequency of CD4+ and CD8+ T cells that express the HLA-DR and CD38 activation markers observed in numerous patients who showed minimal or no lymphocyte activation response. We also identified the percentage of HLA-DR+CD4+ T cells, PD-1+CD+4/CD8+ T cells in blood, and the neutrophil/lymphocyte ratio as useful factors for predicting critical illness and fatal outcome in patients with confirmed COVID-19.
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Affiliation(s)
| | - Antonio Rodriguez-Nicolas
- Servicio de Análisis Clínicos e Inmunología, Hospital Universitario Virgen de las Nieves, Granada, Spain
| | | | - Pilar Jiménez
- Servicio de Análisis Clínicos e Inmunología, Hospital Universitario Virgen de las Nieves, Granada, Spain
| | - Federico Garrido
- Servicio de Análisis Clínicos e Inmunología, Hospital Universitario Virgen de las Nieves, Granada, Spain.,Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain.,Departamento Bioquímica, Biología Molecular e Inmunología III, University of Granada, Granada, Spain
| | - Per Anderson
- Servicio de Análisis Clínicos e Inmunología, Hospital Universitario Virgen de las Nieves, Granada, Spain.,Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain
| | - Francisco Ruiz-Cabello
- Servicio de Análisis Clínicos e Inmunología, Hospital Universitario Virgen de las Nieves, Granada, Spain.,Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain.,Departamento Bioquímica, Biología Molecular e Inmunología III, University of Granada, Granada, Spain
| | - Miguel Ángel López-Ruz
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain.,Servicio de Enfermedades Infecciosas, Hospital Universitario Virgen de las Nieves, Granada, Spain.,Departamento de Medicina, University of Granada, Granada, Spain
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31
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Watkins TS, Miles JJ. The human T-cell receptor repertoire in health and disease and potential for omics integration. Immunol Cell Biol 2020; 99:135-145. [PMID: 32677130 DOI: 10.1111/imcb.12377] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 07/07/2020] [Accepted: 07/12/2020] [Indexed: 12/11/2022]
Abstract
The adaptive immune system arose 600 million years ago in a cold-blooded fish. Over countless generations, our antecedents tuned the function of the T-cell receptor (TCR). The TCR system is arguably the most complex known to science. The TCR evolved hypervariability to fight the hypervariability of pathogens and cancers that look to consume our resources. This review describes the genetics and architecture of the human TCR and highlights surprising new discoveries over the past years that have disproved very old dogmas. The standardization of TCR sequencing data is discussed in preparation for big data bioinformatics and predictive analysis. We next catalogue new signatures and phenomenon discovered by TCR next generation sequencing (NGS) in health and disease and work that remain to be done in this space. Finally, we discuss how TCR NGS can add to immunodiagnostics and integrate with other omics platforms for both a deeper understanding of TCR biology and its use in the clinical setting.
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Affiliation(s)
- Thomas S Watkins
- The Australian Institute of Tropical Health and Medicine (AITHM), James Cook University, Cairns, QLD, Australia.,Centre for Molecular Therapeutics, James Cook University, Cairns, QLD, Australia.,Centre for Tropical Bioinformatics and Molecular Biology, James Cook University, Cairns, QLD, Australia
| | - John J Miles
- The Australian Institute of Tropical Health and Medicine (AITHM), James Cook University, Cairns, QLD, Australia.,Centre for Molecular Therapeutics, James Cook University, Cairns, QLD, Australia.,Centre for Tropical Bioinformatics and Molecular Biology, James Cook University, Cairns, QLD, Australia
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32
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Entrican G, Lunney JK, Wattegedera SR, Mwangi W, Hope JC, Hammond JA. The Veterinary Immunological Toolbox: Past, Present, and Future. Front Immunol 2020; 11:1651. [PMID: 32849568 PMCID: PMC7399100 DOI: 10.3389/fimmu.2020.01651] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Accepted: 06/22/2020] [Indexed: 12/02/2022] Open
Abstract
It is well-recognized that research capability in veterinary species is restricted by a lack of immunological reagents relative to the extensive toolboxes for small rodent biomedical model species and humans. This creates a barrier to the strategic development of disease control solutions for livestock, companion animals and wildlife that not only affects animal health but can affect human health by increasing the risk of transmission of zoonotic pathogens. There have been a number of projects aimed at reducing the capability gaps in the veterinary immunological toolbox, the majority of these focusing on livestock species. Various approaches have been taken to veterinary immunological reagent development across the globe and technological advances in molecular biology and protein biochemistry have accelerated toolbox development. While short-term funding initiatives can address specific gaps in capability, they do not account for long-term sustainability of reagents and databases that requires a different funding model. We review the past, present and future of the veterinary immunological toolbox with specific reference to recent developments discussed at the International Union of Immunological Societies (IUIS) Veterinary Immunology Committee (VIC) Immune Toolkit Workshop at the 12th International Veterinary Immunology Symposium (IVIS) in Seattle, USA, 16–19 August 2019. The future availability of these reagents is critical to research for improving animal health, responses to infectious pathogens and vaccine design as well as for important analyses of zoonotic pathogens and the animal /human interface for One Health initiatives.
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Affiliation(s)
- Gary Entrican
- The Roslin Institute at The University of Edinburgh, Easter Bush Campus, Midlothian, United Kingdom
| | - Joan K Lunney
- Animal Parasitic Diseases Laboratory, BARC, NEA, ARS, USDA, Beltsville, MD, United States
| | - Sean R Wattegedera
- Moredun Research Institute, Pentlands Science Park, Edinburgh, United Kingdom
| | | | - Jayne C Hope
- The Roslin Institute at The University of Edinburgh, Easter Bush Campus, Midlothian, United Kingdom
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33
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Lambert EE, Corbière V, van Gaans-van den Brink JAM, Duijst M, Venkatasubramanian PB, Simonetti E, Huynen M, Diavatopoulos DD, Versteegen P, Berbers GAM, Mascart F, van Els CACM. Uncovering Distinct Primary Vaccination-Dependent Profiles in Human Bordetella Pertussis Specific CD4+ T-Cell Responses Using a Novel Whole Blood Assay. Vaccines (Basel) 2020; 8:E225. [PMID: 32429152 PMCID: PMC7349943 DOI: 10.3390/vaccines8020225] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 05/06/2020] [Accepted: 05/11/2020] [Indexed: 01/24/2023] Open
Abstract
To advance research and development of improved pertussis vaccines, new immunoassays are needed to qualify the outcome of Bordetella pertussis (Bp) specific CD4+ T-cell differentiation. Here, we applied a recently developed whole blood assay to evaluate Bp specific CD4+ T-cell responses. The assay is based on intracellular cytokine detection after overnight in vitro Bp antigen stimulation of diluted whole blood. We show for the first time that CD4+ T-cell memory of Th1, Th2, and Th17 lineages can be identified simultaneously in whole blood. Participants ranging from 7 to 70 years of age with different priming backgrounds of whole-cell pertussis (wP) and acellular pertussis (aP) vaccination were analyzed around an acellular booster vaccination. The assay allowed detection of low frequent antigen-specific CD4+ T-cells and revealed significantly elevated numbers of activated and cytokine-producing CD4+ T-cells, with a significant tendency to segregate recall responses based on primary vaccination background. A stronger Th2 response hallmarked an aP primed cohort compared to a wP primed cohort. In conclusion, analysis of Bp specific CD4+ T-cell responses in whole blood showed separation based on vaccination background and provides a promising tool to assess the quantity and quality of CD4+ T-cell responses induced by vaccine candidates.
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Affiliation(s)
- Eleonora E. Lambert
- Center for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands; (E.E.L.); (J.A.M.v.G.-v.d.B.); (M.D.); (P.V.); (G.A.M.B.)
| | - Véronique Corbière
- Laboratory of Vaccinology and Mucosal Immunity, Université Libre de Bruxelles (U.L.B.), 1070 Brussels, Belgium; (V.C.); (F.M.)
| | - Jacqueline A. M. van Gaans-van den Brink
- Center for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands; (E.E.L.); (J.A.M.v.G.-v.d.B.); (M.D.); (P.V.); (G.A.M.B.)
| | - Maxime Duijst
- Center for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands; (E.E.L.); (J.A.M.v.G.-v.d.B.); (M.D.); (P.V.); (G.A.M.B.)
| | - Prashanna Balaji Venkatasubramanian
- Center for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboudumc, 6525 GA Nijmegen, The Netherlands; (P.B.V.); (M.H.)
| | - Elles Simonetti
- Laboratory of Medical Immunology, Radboud Institute for Molecular Life Sciences, Radboudumc, 6525 GA Nijmegen, The Netherlands; (E.S.); (D.D.D.)
| | - Martijn Huynen
- Center for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboudumc, 6525 GA Nijmegen, The Netherlands; (P.B.V.); (M.H.)
| | - Dimitri D. Diavatopoulos
- Laboratory of Medical Immunology, Radboud Institute for Molecular Life Sciences, Radboudumc, 6525 GA Nijmegen, The Netherlands; (E.S.); (D.D.D.)
| | - Pauline Versteegen
- Center for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands; (E.E.L.); (J.A.M.v.G.-v.d.B.); (M.D.); (P.V.); (G.A.M.B.)
| | - Guy A. M. Berbers
- Center for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands; (E.E.L.); (J.A.M.v.G.-v.d.B.); (M.D.); (P.V.); (G.A.M.B.)
| | - Françoise Mascart
- Laboratory of Vaccinology and Mucosal Immunity, Université Libre de Bruxelles (U.L.B.), 1070 Brussels, Belgium; (V.C.); (F.M.)
| | - Cécile A. C. M. van Els
- Center for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), 3721 MA Bilthoven, The Netherlands; (E.E.L.); (J.A.M.v.G.-v.d.B.); (M.D.); (P.V.); (G.A.M.B.)
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