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Kudose S, Sekulic M, Walavalkar V, Batal I, Stokes MB, Markowitz GS, D’Agati VD, Santoriello D. Immunofluorescence Staining for IgG Subclass: Cause for Discrepancy in the Detection of IgG1. Kidney Int Rep 2023; 8:2416-2420. [PMID: 38025244 PMCID: PMC10658247 DOI: 10.1016/j.ekir.2023.08.015] [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: 07/19/2023] [Revised: 08/04/2023] [Accepted: 08/14/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction Immunofluorescence (IF) staining for IgG subclasses plays an important role in the classification of kidney disease. However, widely used IgG subclass-specific antibodies are now commercially unavailable. Thus, we compared alternative antibodies for performing IgG subclass staining. Methods A total of 21 cases were stained by 3 different methods: direct IF using fluorescein isothiocyanate (FITC)-conjugated polyclonal antibodies against IgG1-4 (commercially unavailable method), direct IF using FITC-conjugated monoclonal antibodies (clones HP-6091, 6014, 6050, and 6025), indirect IF using monoclonal antibodies (clones HP-6069, 6002, 6050, and 6025), and FITC-conjugated polyclonal secondary antibody. For cases with discrepancy in IgG1 staining, additional direct IF using FITC-conjugated monoclonal antibody (clone 4E3) was performed. Results Of 21 cases, 11 (52%) had no staining for IgG1 by direct IF using the clone HP-6091 despite ≥1+ staining by the direct IF using polyclonal antibodies. Similarly, direct IF for IgG1 using the clone 4E3 had negative result in all 10 cases with available tissue. However, indirect IF for IgG1 using the clone HP-6069 had similar staining intensity (within 1 order of magnitude) as direct IF using the polyclonal antibodies (10 of 10). Results of IF for IgG2, IgG3, and IgG4 were similar in most cases. Conclusion The choice of antibodies influences the result of IgG subclass staining, especially for anti-IgG1 antibodies, in which 2 monoclonal antibodies (HP6091 and 4E3) appear less sensitive. Although this may be due to unaccounted variables and requires confirmation, our results may partially explain the difference in IgG1 staining in the literature and underscore the need for careful validation.
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Affiliation(s)
- Satoru Kudose
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York, USA
| | - Miroslav Sekulic
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York, USA
| | - Vighnesh Walavalkar
- Department of Pathology and Laboratory Medicine, University of California San Francisco, San Francisco, California, USA
| | - Ibrahim Batal
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York, USA
| | - M. Barry Stokes
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York, USA
| | - Glen S. Markowitz
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York, USA
| | - Vivette D. D’Agati
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York, USA
| | - Dominick Santoriello
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York, USA
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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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3
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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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Bemark M, Angeletti D. Know your enemy or find your friend?-Induction of IgA at mucosal surfaces. Immunol Rev 2021; 303:83-102. [PMID: 34331314 PMCID: PMC7612940 DOI: 10.1111/imr.13014] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 06/28/2021] [Indexed: 12/15/2022]
Abstract
Most antibodies produced in the body are of the IgA class. The dominant cell population producing them are plasma cells within the lamina propria of the gastrointestinal tract, but many IgA-producing cells are also found in the airways, within mammary tissues, the urogenital tract and inside the bone marrow. Most IgA antibodies are transported into the lumen by epithelial cells as part of the mucosal secretions, but they are also present in serum and other body fluids. A large part of the commensal microbiota in the gut is covered with IgA antibodies, and it has been demonstrated that this plays a role in maintaining a healthy balance between the host and the bacteria. However, IgA antibodies also play important roles in neutralizing pathogens in the gastrointestinal tract and the upper airways. The distinction between the two roles of IgA - protective and balance-maintaining - not only has implications on function but also on how the production is regulated. Here, we discuss these issues with a special focus on gut and airways.
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Affiliation(s)
- Mats Bemark
- Department of Microbiology and Immunology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Clinical Immunology and Transfusion Medicine, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Davide Angeletti
- Department of Microbiology and Immunology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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Sanoja-Flores L, Flores-Montero J, Pérez-Andrés M, Puig N, Orfao A. Detection of Circulating Tumor Plasma Cells in Monoclonal Gammopathies: Methods, Pathogenic Role, and Clinical Implications. Cancers (Basel) 2020; 12:E1499. [PMID: 32521788 PMCID: PMC7352573 DOI: 10.3390/cancers12061499] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 05/29/2020] [Accepted: 06/03/2020] [Indexed: 12/28/2022] Open
Abstract
Cancer dissemination and distant metastasis most frequently require the release of tumor cells into the blood circulation, both in solid tumors and most hematological malignancies, including plasma cell neoplasms. However, detection of blood circulating tumor cells in solid tumors and some hematological malignancies, such as the majority of mature/peripheral B-cell lymphomas and monoclonal gammopathies, has long been a challenge due to their very low frequency. In recent years, the availability of highly-sensitive and standardized methods for the detection of circulating tumor plasma cells (CTPC) in monoclonal gammopathies, e.g., next-generation flow cytometry (NGF), demonstrated the systematic presence of CTPC in blood in virtually every smoldering (SMM) and symptomatic multiple myeloma (MM) patient studied at diagnosis, and in the majority of patients with newly-diagnosed monoclonal gammopathies of undetermined significance (MGUS). These methods set the basis for further detailed characterization of CTPC vs. their bone marrow counterpart in monoclonal gammopathies, to investigate their role in the biology of the disease, and to confirm their strong impact on patient outcome when measured both at diagnosis and after initiating therapy. Here, we review the currently available techniques for the detection of CTPC, and determine their biological features, physiopathological role and clinical significance in patients diagnosed with distinct diagnostic categories of plasma cell neoplasms.
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Affiliation(s)
- Luzalba Sanoja-Flores
- 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, 37007 Salamanca, Spain; (L.S.-F.); (J.F.-M.); (M.P.-A.)
- Centro de Investigación Biomédica en Red de Cáncer, CIBER-ONC number CB16/12/00400, Instituto Carlos III, 28029 Madrid, Spain
| | - Juan Flores-Montero
- 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, 37007 Salamanca, Spain; (L.S.-F.); (J.F.-M.); (M.P.-A.)
- Centro de Investigación Biomédica en Red de Cáncer, CIBER-ONC number CB16/12/00400, Instituto Carlos III, 28029 Madrid, Spain
| | - Martín Pérez-Andrés
- 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, 37007 Salamanca, Spain; (L.S.-F.); (J.F.-M.); (M.P.-A.)
- Centro de Investigación Biomédica en Red de Cáncer, CIBER-ONC number CB16/12/00400, Instituto Carlos III, 28029 Madrid, Spain
| | - Noemí Puig
- Department of Hematology, University Hospital of Salamanca, IBSAL, IBMCC (USAL-CSIC), 37007 Salamanca, Spain;
- Centro de Investigación Biomédica en Red de Cáncer, CIBER-ONC number CB16/12/00233, Instituto Carlos III, 28029 Madrid, Spain
| | - Alberto Orfao
- 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, 37007 Salamanca, Spain; (L.S.-F.); (J.F.-M.); (M.P.-A.)
- Centro de Investigación Biomédica en Red de Cáncer, CIBER-ONC number CB16/12/00400, Instituto Carlos III, 28029 Madrid, Spain
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6
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Cornel AM, van der Burght CAJ, Nierkens S, van Velzen JF. FACSCanto II and LSRFortessa flow cytometer instruments can be synchronized utilizing single-fluorochrome-conjugated surface-dyed beads for standardized immunophenotyping. J Clin Lab Anal 2020; 34:e23361. [PMID: 32430992 PMCID: PMC7521264 DOI: 10.1002/jcla.23361] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 04/08/2020] [Accepted: 04/20/2020] [Indexed: 11/19/2022] Open
Abstract
Background Multiparameter flow cytometry is the preferred method to determine immunophenotypic features of cells present in a wide variety of sample types. Standardization is key to avoid inconsistencies and subjectivity of interpretations between clinical diagnostic laboratories. Among these standardization requirements, synchronization between different flow cytometer instruments is indispensable to obtain comparable results. This study aimed to investigate whether two widely used flow cytometers, the FACSCanto II and LSRFortessa, can be effectively synchronized utilizing calibration bead–based synchronization. Method Two FACSCanto II and two LSRFortessa flow cytometers were synchronized with both multicolor hard‐dyed and single‐fluorochrome–conjugated surface‐dyed beads according to the manufacturer's instructions. Cell staining was performed on five whole‐blood samples obtained from healthy controls and were analyzed upon synchronization with the respective synchronization protocols. Results Comparability criteria (defined as <15% deviation from the reference instrument) were met with both bead sets when synchronizing different FACSCanto II or LSRFortessa instruments. However, we observed that the criteria could not be met when synchronizing FACSCanto II with LSRFortessa instruments with multicolor hard‐dyed beads. By utilizing single‐fluorochrome–conjugated surface‐dyed beads to determine and adjust PMT voltages, the accepted comparability criteria were successfully met. The protocol has been validated using five different eight‐parameter stained samples. Conclusion We show that FACSCanto II and LSRFortessa instruments can effectively be synchronized using single‐fluorochrome–conjugated surface‐dyed beads in case deviation criteria cannot be met using multicolor hard‐dyed beads. Synchronization with single‐fluorochrome–conjugated surface‐dyed beads results in decreased deviations between instruments, allowing comparability criteria to become stricter.
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Affiliation(s)
- Annelisa M Cornel
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Christine A J van der Burght
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Stefan Nierkens
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Jeroen F van Velzen
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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7
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Human IgA Monoclonal Antibodies That Neutralize Poliovirus, Produced by Hybridomas and Recombinant Expression. Antibodies (Basel) 2020; 9:antib9010005. [PMID: 32121092 PMCID: PMC7148538 DOI: 10.3390/antib9010005] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Revised: 02/01/2020] [Accepted: 02/11/2020] [Indexed: 12/13/2022] Open
Abstract
Poliovirus (PV)-specific intestinal IgAs are important for cessation of PV shedding in the gastrointestinal tract following an acute infection with wild type or vaccine-derived PV strains. We sought to produce IgA monoclonal antibodies (mAbs) with PV neutralizing activity. We first performed de novo IgA discovery from primary human B cells using a hybridoma method that allows assessment of mAb binding and expression on the hybridoma surface: On-Cell mAb Screening (OCMS™). Six IgA1 mAbs were cloned by this method; three potently neutralized type 3 Sabin and wt PV strains. The hybridoma mAbs were heterogeneous, expressed in monomeric, dimeric, and aberrant forms. We also used recombinant methods to convert two high-potency anti-PV IgG mAbs into dimeric IgA1 and IgA2 mAbs. Isotype switching did not substantially change their neutralization activities. To purify the recombinant mAbs, Protein L binding was used, and one of the mAbs required a single amino acid substitution in its κ LC in order to enable protein L binding. Lastly, we used OCMS to assess IgA expression on the surface of hybridomas and transiently transfected, adherent cells. These studies have generated potent anti-PV IgA mAbs, for use in animal models, as well as additional tools for the discovery and production of human IgA mAbs.
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8
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Fernandes RA, Perez-Andres M, Blanco E, Jara-Acevedo M, Criado I, Almeida J, Botafogo V, Coutinho I, Paiva A, van Dongen JJM, Orfao A, Faria E. Complete Multilineage CD4 Expression Defect Associated With Warts Due to an Inherited Homozygous CD4 Gene Mutation. Front Immunol 2019; 10:2502. [PMID: 31781092 PMCID: PMC6856949 DOI: 10.3389/fimmu.2019.02502] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Accepted: 10/07/2019] [Indexed: 12/12/2022] Open
Abstract
Idiopathic T-CD4 lymphocytopenia (ICL) is a rare and heterogeneous syndrome characterized by opportunistic infections due to reduced CD4 T-lymphocytes (<300 cells/μl or <20% T-cells) in the absence of HIV infection and other primary causes of lymphopenia. Molecular testing of ICL has revealed defects in genes not specific to CD4 T-cells, with pleiotropic effects on other cell types. Here we report for the first time an absolute CD4 lymphocytopenia (<0.01 CD4+ T-cells/μl) due to an autosomal recessive CD4 gene mutation that completely abrogates CD4 protein expression on the surface membrane of T-cells, monocytes, and dendritic cells. A 45-year-old female born to consanguineous parents consulted because of exuberant, relapsing, and treatment-refractory warts on her hands and feet since the age of 10 years, in the absence of other recurrent infections or symptoms. Serological studies were negative for severe infections, including HIV 1/2, HTLV-1, and syphilis, but positive for CMV and EBV. Blood analysis showed the absence of CD4+ T-cells (<0.01%) with repeatedly increased counts of B-cells, naïve CD8+ T-lymphocytes, and particularly, CD4/CD8 double-negative (DN) TCRαβ+ TCRγδ- T-cells (30% of T-cells; 400 cells/μl). Flow cytometric staining of CD4 using monoclonal antibodies directed against five different epitopes, located in two different domains of the protein, confirmed no cell surface membrane or intracytoplasmic expression of CD4 on T-cells, monocytes, and dendritic cells but normal soluble CD4 plasma levels. DN T-cells showed a phenotypic and functional profile similar to normal CD4+ T-cells as regards expression of maturation markers, T-helper and T-regulatory chemokine receptors, TCRvβ repertoire, and in vitro cytokine production against polyclonal and antigen-specific stimuli. Sequencing of the CD4 gene revealed a homozygous (splicing) mutation affecting the last bp on intron 7-8, leading to deletion of the juxtamembrane and intracellular domains of the protein and complete abrogation of CD4 expression on the cell membrane. These findings support previous studies in CD4 KO mice suggesting that surrogate DN helper and regulatory T-cells capable of supporting antigen-specific immune responses are produced in the absence of CD4 signaling and point out the need for better understanding the role of CD4 on thymic selection and the immune response.
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Affiliation(s)
- Rosa Anita Fernandes
- Allergy and Clinical Immunology Department, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Martin Perez-Andres
- Department of Medicine, Cancer Research Centre (IBMCC, USAL-CSIC), Cytometry Service (NUCLEUS), University of Salamanca (USAL), Salamanca, Spain.,Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain.,Biomedical Research Networking Centre on Cancer-CIBER-CIBERONC (CB16/12/00400), Institute of Health Carlos III, Madrid, Spain
| | - Elena Blanco
- Department of Medicine, Cancer Research Centre (IBMCC, USAL-CSIC), Cytometry Service (NUCLEUS), University of Salamanca (USAL), Salamanca, Spain.,Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain.,Biomedical Research Networking Centre on Cancer-CIBER-CIBERONC (CB16/12/00400), Institute of Health Carlos III, Madrid, Spain
| | - Maria Jara-Acevedo
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain.,Biomedical Research Networking Centre on Cancer-CIBER-CIBERONC (CB16/12/00400), Institute of Health Carlos III, Madrid, Spain.,Sequencing DNA Service, NUCLEUS, University of Salamanca, Salamanca, Spain
| | - Ignacio Criado
- Department of Medicine, Cancer Research Centre (IBMCC, USAL-CSIC), Cytometry Service (NUCLEUS), University of Salamanca (USAL), Salamanca, Spain.,Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain.,Biomedical Research Networking Centre on Cancer-CIBER-CIBERONC (CB16/12/00400), Institute of Health Carlos III, Madrid, Spain
| | - Julia Almeida
- Department of Medicine, Cancer Research Centre (IBMCC, USAL-CSIC), Cytometry Service (NUCLEUS), University of Salamanca (USAL), Salamanca, Spain.,Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain.,Biomedical Research Networking Centre on Cancer-CIBER-CIBERONC (CB16/12/00400), Institute of Health Carlos III, Madrid, Spain
| | - Vitor Botafogo
- Department of Medicine, Cancer Research Centre (IBMCC, USAL-CSIC), Cytometry Service (NUCLEUS), University of Salamanca (USAL), Salamanca, Spain.,Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain.,Biomedical Research Networking Centre on Cancer-CIBER-CIBERONC (CB16/12/00400), Institute of Health Carlos III, Madrid, Spain
| | - Ines Coutinho
- Dermatology Department, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Artur Paiva
- Flow Cytometry Unit-Clinical Pathology Department, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal.,Ciências Biomédicas Laboratoriais, ESTESC-Coimbra Health School, Instituto Politécnico de Coimbra, Coimbra, Portugal.,Faculty of Medicine, Coimbra Institute for Clinical and Biomedical Research (iCBR), University of Coimbra, Coimbra, Portugal
| | - Jacques J M van Dongen
- Department of Immunohematology and Blood Transfusion, Leiden University Medical Center, Leiden, Netherlands
| | - Alberto Orfao
- Department of Medicine, Cancer Research Centre (IBMCC, USAL-CSIC), Cytometry Service (NUCLEUS), University of Salamanca (USAL), Salamanca, Spain.,Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain.,Biomedical Research Networking Centre on Cancer-CIBER-CIBERONC (CB16/12/00400), Institute of Health Carlos III, Madrid, Spain
| | - Emilia Faria
- Allergy and Clinical Immunology Department, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
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9
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Kalina T. Reproducibility of Flow Cytometry Through Standardization: Opportunities and Challenges. Cytometry A 2019; 97:137-147. [DOI: 10.1002/cyto.a.23901] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Revised: 09/04/2019] [Accepted: 09/11/2019] [Indexed: 12/21/2022]
Affiliation(s)
- Tomas Kalina
- CLIP‐Childhood Leukemia Investigation Prague, Department of Pediatric Hematology and Oncology2nd Medical School, Charles University and University Hospital Motol Prague Czech Republic
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10
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van Dongen JJM, van der Burg M, Kalina T, Perez-Andres M, Mejstrikova E, Vlkova M, Lopez-Granados E, Wentink M, Kienzler AK, Philippé J, Sousa AE, van Zelm MC, Blanco E, Orfao A. EuroFlow-Based Flowcytometric Diagnostic Screening and Classification of Primary Immunodeficiencies of the Lymphoid System. Front Immunol 2019; 10:1271. [PMID: 31263462 PMCID: PMC6585843 DOI: 10.3389/fimmu.2019.01271] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Accepted: 05/17/2019] [Indexed: 12/16/2022] Open
Abstract
Guidelines for screening for primary immunodeficiencies (PID) are well-defined and several consensus diagnostic strategies have been proposed. These consensus proposals have only partially been implemented due to lack of standardization in laboratory procedures, particularly in flow cytometry. The main objectives of the EuroFlow Consortium were to innovate and thoroughly standardize the flowcytometric techniques and strategies for reliable and reproducible diagnosis and classification of PID of the lymphoid system. The proposed EuroFlow antibody panels comprise one orientation tube and seven classification tubes and corresponding databases of normal and PID samples. The 8-color 12-antibody PID Orientation tube (PIDOT) aims at identification and enumeration of the main lymphocyte and leukocyte subsets; this includes naïve pre-germinal center (GC) and antigen-experienced post-GC memory B-cells and plasmablasts. The seven additional 8(-12)-color tubes can be used according to the EuroFlow PID algorithm in parallel or subsequently to the PIDOT for more detailed analysis of B-cell and T-cell subsets to further classify PID of the lymphoid system. The Pre-GC, Post-GC, and immunoglobulin heavy chain (IgH)-isotype B-cell tubes aim at identification and enumeration of B-cell subsets for evaluation of B-cell maturation blocks and specific defects in IgH-subclass production. The severe combined immunodeficiency (SCID) tube and T-cell memory/effector subset tube aim at identification and enumeration of T-cell subsets for assessment of T-cell defects, such as SCID. In case of suspicion of antibody deficiency, PIDOT is preferably directly combined with the IgH isotype tube(s) and in case of SCID suspicion (e.g., in newborn screening programs) the PIDOT is preferably directly combined with the SCID T-cell tube. The proposed ≥8-color antibody panels and corresponding reference databases combined with the EuroFlow PID algorithm are designed to provide fast, sensitive and cost-effective flowcytometric diagnosis of PID of the lymphoid system, easily applicable in multicenter diagnostic settings world-wide.
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Affiliation(s)
- Jacques J M van Dongen
- Department of Immunohematology and Blood Transfusion, Leiden University Medical Center, Leiden, Netherlands
| | - Mirjam van der Burg
- Department of Immunology, Erasmus MC, Rotterdam, Netherlands.,Department of Pediatrics, Leiden University Medical Center, Leiden, Netherlands
| | - Tomas Kalina
- Department of Pediatric Hematology and Oncology, University Hospital Motol, Charles University, Prague, Czechia
| | - Martin Perez-Andres
- Department of Medicine, Cancer Research Centre (IBMCC, USAL-CSIC), Cytometry Service (NUCLEUS), University of Salamanca (USAL), Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain.,Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), CB/16/12/00233, Instituto Carlos III, Madrid, Spain
| | - Ester Mejstrikova
- Department of Pediatric Hematology and Oncology, University Hospital Motol, Charles University, Prague, Czechia
| | - Marcela Vlkova
- Institute of Clinical Immunology and Allergology, St. Anne's University Hospital Brno, Masaryk University, Brno, Czechia
| | | | | | - Anne-Kathrin Kienzler
- Experimental Medicine Division, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Jan Philippé
- Department of Laboratory Medicine, University Hospital Ghent, Ghent, Belgium
| | - Ana E Sousa
- Faculdade de Medicina, Instituto de Medicina Molecular, Universidade de Lisboa, Lisbon, Portugal
| | - Menno C van Zelm
- Department of Immunology, Erasmus MC, Rotterdam, Netherlands.,Department of Immunology and Pathology, Central Clinical School, Alfred Hospital, Monash University, Melbourne, VIC, Australia
| | - Elena Blanco
- Department of Medicine, Cancer Research Centre (IBMCC, USAL-CSIC), Cytometry Service (NUCLEUS), University of Salamanca (USAL), Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain.,Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), CB/16/12/00233, Instituto Carlos III, Madrid, Spain
| | - Alberto Orfao
- Department of Medicine, Cancer Research Centre (IBMCC, USAL-CSIC), Cytometry Service (NUCLEUS), University of Salamanca (USAL), Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain.,Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), CB/16/12/00233, Instituto Carlos III, Madrid, Spain
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11
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Defects in memory B-cell and plasma cell subsets expressing different immunoglobulin-subclasses in patients with CVID and immunoglobulin subclass deficiencies. J Allergy Clin Immunol 2019; 144:809-824. [PMID: 30826363 DOI: 10.1016/j.jaci.2019.02.017] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Revised: 01/29/2019] [Accepted: 02/01/2019] [Indexed: 12/15/2022]
Abstract
BACKGROUND Predominantly antibody deficiencies (PADs) are the most prevalent primary immunodeficiencies, but their B-cell defects and underlying genetic alterations remain largely unknown. OBJECTIVE We investigated patients with PADs for the distribution of 41 blood B-cell and plasma cell (PC) subsets, including subsets defined by expression of distinct immunoglobulin heavy chain subclasses. METHODS Blood samples from 139 patients with PADs, 61 patients with common variable immunodeficiency (CVID), 68 patients with selective IgA deficiency (IgAdef), 10 patients with IgG subclass deficiency with IgA deficiency, and 223 age-matched control subjects were studied by using flow cytometry with EuroFlow immunoglobulin isotype staining. Patients were classified according to their B-cell and PC immune profile, and the obtained patient clusters were correlated with clinical manifestations of PADs. RESULTS Decreased counts of blood PCs, memory B cells (MBCs), or both expressing distinct IgA and IgG subclasses were identified in all patients with PADs. In patients with IgAdef, B-cell defects were mainly restricted to surface membrane (sm)IgA+ PCs and MBCs, with 2 clear subgroups showing strongly decreased numbers of smIgA+ PCs with mild versus severe smIgA+ MBC defects and higher frequencies of nonrespiratory tract infections, autoimmunity, and affected family members. Patients with IgG subclass deficiency with IgA deficiency and those with CVID showed defects in both smIgA+ and smIgG+ MBCs and PCs. Reduced numbers of switched PCs were systematically found in patients with CVID (absent in 98%), with 6 different defective MBC (and clinical) profiles: (1) profound decrease in MBC numbers; (2) defective CD27+ MBCs with almost normal IgG3+ MBCs; (3) absence of switched MBCs; and (4) presence of both unswitched and switched MBCs without and; (5) with IgG2+ MBCs; and (6) with IgA1+ MBCs. CONCLUSION Distinct PAD defective B-cell patterns were identified that are associated with unique clinical profiles.
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12
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Han Y, Jin Y, Miao Y, Shi T, Lin X. Improved RANKL expression and osteoclastogenesis induction of CD27+CD38- memory B cells: A link between B cells and alveolar bone damage in periodontitis. J Periodontal Res 2018; 54:73-80. [PMID: 30346027 DOI: 10.1111/jre.12606] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2018] [Revised: 08/03/2018] [Accepted: 08/08/2018] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND OBJECTIVE Periodontitis is a bacteria-induced disease that often leads to alveolar bone damage. Its mechanisms were considered to be complicated, involving an imbalance of the formation and resorption of bone. We sought to disclose the antibody-independent function of B cells during periodontitis. MATERIAL AND METHODS Production of receptor activator for nuclear factor-κB ligand (RANKL) by total lymphocytes or sorted B-cell subsets in gingiva from healthy or experimental periodontitis animals was examined by flow cytometry, real-time polymerase chain reaction, and enzyme-linked immunosorbent assay. To define the effects of lymphocytes or B-cell subsets on osteoclastogenesis induction, bone marrow mononuclear cells were culture in culture medium of lymphocytes or cocultured with B-cell subsets. Osteoclasts were enumerated by tartrate-resistant acid phosphatase staining. Constituent ratio of B-cell subsets in healthy or experimental periodontitis was also detected by flow cytometry. RESULT Gingiva B cells produce more RANKL and support more osteoclastogenesis than T and other lymphocytes, and this potential improved in periodontitis. Memory B cells (CD27+CD38-) decreased their percentage in periodontitis. Memory B cells have the highest propensity for RANKL production. Remarkably, memory B cells from periodontitis animals expressed significantly more RANKL compared to healthy controls. Memory B cells supported osteoclast differentiation in vitro in a RANKL-dependent manner, and the number of osteoclasts was higher in cultures with memory B cells from periodontitis animals than in those derived from healthy ones. Other B-cell subsets have limited impact on osteoclast formation. CONCLUSION Findings of this study further disclose the roles of B cells engaged in periodontal immunomodulation and reveal the considerable importance of memory B cells in alveolar bone homeostasis and their likely contribution to alveolar bone destruction in periodontitis.
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Affiliation(s)
- Yakun Han
- Department of Stomatology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ying Jin
- Department of Stomatology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yibin Miao
- Department of Stomatology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Tie Shi
- Department of Stomatology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xiaoping Lin
- Department of Stomatology, Shengjing Hospital of China Medical University, Shenyang, China
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