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Abu-Raya B, Esser MJ, Nakabembe E, Reiné J, Amaral K, Diks AM, Imede E, Way SS, Harandi AM, Gorringe A, Le Doare K, Halperin SA, Berkowska MA, Sadarangani M. Antibody and B-cell Immune Responses Against Bordetella Pertussis Following Infection and Immunization. J Mol Biol 2023; 435:168344. [PMID: 37926426 DOI: 10.1016/j.jmb.2023.168344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 10/27/2023] [Accepted: 10/31/2023] [Indexed: 11/07/2023]
Abstract
Neither immunization nor recovery from natural infection provides life-long protection against Bordetella pertussis. Replacement of a whole-cell pertussis (wP) vaccine with an acellular pertussis (aP) vaccine, mutations in B. pertussis strains, and better diagnostic techniques, contribute to resurgence of number of cases especially in young infants. Development of new immunization strategies relies on a comprehensive understanding of immune system responses to infection and immunization and how triggering these immune components would ensure protective immunity. In this review, we assess how B cells, and their secretory products, antibodies, respond to B. pertussis infection, current and novel vaccines and highlight similarities and differences in these responses. We first focus on antibody-mediated immunity. We discuss antibody (sub)classes, elaborate on antibody avidity, ability to neutralize pertussis toxin, and summarize different effector functions, i.e. ability to activate complement, promote phagocytosis and activate NK cells. We then discuss challenges and opportunities in studying B-cell immunity. We highlight shared and unique aspects of B-cell and plasma cell responses to infection and immunization, and discuss how responses to novel immunization strategies better resemble those triggered by a natural infection (i.e., by triggering responses in mucosa and production of IgA). With this comprehensive review, we aim to shed some new light on the role of B cells and antibodies in the pertussis immunity to guide new vaccine development.
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Affiliation(s)
- Bahaa Abu-Raya
- Vaccine Evaluation Center, BC Children's Hospital Research Institute, Vancouver, BC, Canada; Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada.
| | - Mirjam J Esser
- Department of Pediatrics, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Eve Nakabembe
- Centre for Neonatal and Paediatric Infectious Diseases Research, St George's, University of London, Cranmer Terrace, London SW17 0RE, UK; Department of Obstetrics and Gynaecology, Makerere University College of Health Sciences, Upper Mulago Hill Road, Kampala, P.O. Box 7072, Uganda
| | - Jesús Reiné
- Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom; Oxford Vaccine Group, University of Oxford, Oxford, United Kingdom
| | - Kyle Amaral
- Vaccine Evaluation Center, BC Children's Hospital Research Institute, Vancouver, BC, Canada; Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada
| | - Annieck M Diks
- Department of Immunology, Leiden University Medical Center, Albinusdreef 2, Leiden ZA 2333, the Netherlands
| | - Esther Imede
- MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda
| | - Sing Sing Way
- Department of Pediatrics, Division of Infectious Diseases, Center for Inflammation and Tolerance, Cincinnati Children's Hospital Medical Center, University of Cincinnati School of Medicine, Cincinnati, OH, USA
| | - Ali M Harandi
- Vaccine Evaluation Center, BC Children's Hospital Research Institute, Vancouver, BC, Canada; Department of Microbiology and Immunology, University of Gothenburg, Gothenburg, Sweden
| | - Andrew Gorringe
- UK Health Security Agency, Porton Down, Salisbury SP4 0JG, UK
| | - Kirsty Le Doare
- Centre for Neonatal and Paediatric Infectious Diseases Research, St George's, University of London, Cranmer Terrace, London SW17 0RE, UK; Makerere University-Johns Hopkins University Research Collaboration, MU-JHU, Upper Mulago Hill, Kampala, P.O. Box 23491, Uganda
| | - Scott A Halperin
- Canadian Center for Vaccinology, Departments of Pediatrics and Microbiology and Immunology, Dalhousie University, Izaak Walton Killam Health Centre, and Nova Scotia Health Authority, Halifax, NS, Canada
| | - Magdalena A Berkowska
- Medical Microbiology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Manish Sadarangani
- Vaccine Evaluation Center, BC Children's Hospital Research Institute, Vancouver, BC, Canada; Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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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] [What about the content of this article? (0)] [Affiliation(s)] [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] [What about the content of this article? (0)] [Affiliation(s)] [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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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] [What about the content of this article? (0)] [Affiliation(s)] [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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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: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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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Khatri I, Diks AM, van den Akker EB, Oosten LEM, Zwaginga JJ, Reinders MJT, van Dongen JJM, Berkowska MA. Longitudinal Dynamics of Human B-Cell Response at the Single-Cell Level in Response to Tdap Vaccination. Vaccines (Basel) 2021; 9:1352. [PMID: 34835283 PMCID: PMC8617659 DOI: 10.3390/vaccines9111352] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 11/08/2021] [Accepted: 11/13/2021] [Indexed: 01/28/2023] Open
Abstract
To mount an adequate immune response against pathogens, stepwise mutation and selection processes are crucial functions of the adaptive immune system. To better characterize a successful vaccination response, we performed longitudinal (days 0, 5, 7, 10, and 14 after Boostrix vaccination) analysis of the single-cell transcriptome as well as the B-cell receptor (BCR) repertoire (scBCR-rep) in plasma cells of an immunized donor and compared it with baseline B-cell characteristics as well as flow cytometry findings. Based on the flow cytometry knowledge and literature findings, we discriminated individual B-cell subsets in the transcriptomics data and traced over-time maturation of plasmablasts/plasma cells (PB/PCs) and identified the pathways associated with the plasma cell maturation. We observed that the repertoire in PB/PCs differed from the baseline B-cell repertoire e.g., regarding expansion of unique clones in post-vaccination visits, high usage of IGHG1 in expanded clones, increased class-switching events post-vaccination represented by clonotypes spanning multiple IGHC classes and positive selection of CDR3 sequences over time. Importantly, the Variable gene family-based clustering of BCRs represented a similar measure as the gene-based clustering, but certainly improved the clustering of BCRs, as BCRs from duplicated Variable gene families could be clustered together. Finally, we developed a query tool to dissect the immune response to the components of the Boostrix vaccine. Using this tool, we could identify the BCRs related to anti-tetanus and anti-pertussis toxoid BCRs. Collectively, we developed a bioinformatic workflow which allows description of the key features of an ongoing (longitudinal) immune response, such as activation of PB/PCs, Ig class switching, somatic hypermutation, and clonal expansion, all of which are hallmarks of antigen exposure, followed by mutation & selection processes.
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Affiliation(s)
- Indu Khatri
- Department of Immunology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (I.K.); (A.M.D.); (M.A.B.)
- Leiden Computational Biology Center, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands; (E.B.v.d.A.); (M.J.T.R.)
| | - Annieck M. Diks
- Department of Immunology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (I.K.); (A.M.D.); (M.A.B.)
| | - Erik B. van den Akker
- Leiden Computational Biology Center, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands; (E.B.v.d.A.); (M.J.T.R.)
- Department of Molecular Epidemiology, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands
| | - Liesbeth E. M. Oosten
- Department of Hematology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (L.E.M.O.); (J.J.Z.)
| | - Jaap Jan Zwaginga
- Department of Hematology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (L.E.M.O.); (J.J.Z.)
| | - Marcel J. T. Reinders
- Leiden Computational Biology Center, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands; (E.B.v.d.A.); (M.J.T.R.)
- Delft Bioinformatics Lab, Delft University of Technology, 2628 CD Delft, The Netherlands
| | - Jacques J. M. van Dongen
- Department of Immunology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (I.K.); (A.M.D.); (M.A.B.)
| | - Magdalena A. Berkowska
- Department of Immunology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (I.K.); (A.M.D.); (M.A.B.)
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8
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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9
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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10
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Linskens E, Diks AM, Neirinck J, Perez-Andres M, De Maertelaere E, Berkowska MA, Kerre T, Hofmans M, Orfao A, van Dongen JJM, Haerynck F, Philippé J, Bonroy C. Improved Standardization of Flow Cytometry Diagnostic Screening of Primary Immunodeficiency by Software-Based Automated Gating. Front Immunol 2020; 11:584646. [PMID: 33224147 PMCID: PMC7667243 DOI: 10.3389/fimmu.2020.584646] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 10/12/2020] [Indexed: 01/08/2023] Open
Abstract
Background Multiparameter flow cytometry (FC) is essential in the diagnostic work-up and classification of primary immunodeficiency (PIDs). The EuroFlow PID Orientation tube (PIDOT) allows identification of all main lymphocyte subpopulations in blood. To standardize data analysis, tools for Automated Gating and Identification (AG&I) of the informative cell populations, were developed by EuroFlow. Here, we evaluated the contribution of these innovative AG&I tools to the standardization of FC in the diagnostic work-up of PID, by comparing AG&I against expert-based (EuroFlow-standardized) Manual Gating (MG) strategy, and its impact on the reproducibility and clinical interpretation of results. Methods FC data files from 44 patients (13 CVID, 12 PID, 19 non-PID) and 26 healthy donor (HD) blood samples stained with PIDOT were analyzed in parallel by MG and AG&I, using Infinicyt™ software (Cytognos). For comparison, percentage differences in absolute cell counts/µL were calculated for each lymphocyte subpopulation. Data files showing differences >20% were checked for their potential clinical relevance, based on age-matched percentile (p5-p95) reference ranges. In parallel, intra- and inter-observer reproducibility of MG vs AG&I were evaluated in a subset of 12 samples. Results The AG&I approach was able to identify the vast majority of lymphoid events (>99%), associated with a significantly higher intra- and inter-observer reproducibility compared to MG. For most HD (83%) and patient (68%) samples, a high degree of agreement (<20% numerical differences in absolute cell counts/µL) was obtained between MG and the AG&I module. This translated into a minimal impact (<5% of observations) on the final clinical interpretation. In all except three samples, extended expert revision of the AG&I approach revealed no error. In the three remaining samples aberrant maturation and/or abnormal marker expression profiles were seen leading in all three cases to numerical alarms by AG&I. Conclusion Altogether, our results indicate that replacement of MG by the AG&I module would be associated with a greater reproducibility and robustness of results in the diagnostic work-up of patients suspected of PID. However, expert revision of the results of AG&I of PIDOT data still remains necessary in samples with numerical alterations and aberrant B- and T-cell maturation and/or marker expression profiles.
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Affiliation(s)
- Eleni Linskens
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Annieck M Diks
- Department of Immunohematology and Blood Transfusion, Leiden University Medical Center, Leiden, Netherlands
| | - Jana Neirinck
- Department of Diagnostic Science, Ghent University, Ghent, Belgium
| | - Martín Perez-Andres
- Cancer Research Centre (IBMCC, USAL-CSIC; CIBERONC CB16/12/00400), Department of Medicine and Cytometry Service (NUCLEUS Research Support Platform), Institute for Biomedical Research of Salamanca (IBSAL), 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 CIBERONC, University of Salamanca, Salamanca, Spain
| | | | - Magdalena A Berkowska
- Department of Immunohematology and Blood Transfusion, Leiden University Medical Center, Leiden, Netherlands
| | - Tessa Kerre
- Department of Hematology, Ghent University Hospital, Ghent, Belgium
| | - Mattias Hofmans
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Alberto Orfao
- Cancer Research Centre (IBMCC, USAL-CSIC; CIBERONC CB16/12/00400), Department of Medicine and Cytometry Service (NUCLEUS Research Support Platform), Institute for Biomedical Research of Salamanca (IBSAL), 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 CIBERONC, University of Salamanca, Salamanca, Spain
| | - Jacques J M van Dongen
- Department of Immunohematology and Blood Transfusion, Leiden University Medical Center, Leiden, Netherlands
| | - Filomeen Haerynck
- Department of Pediatric Pulmonology and Immunology and PID Research Laboratory, Ghent University Hospital, Ghent, Belgium
| | - Jan Philippé
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium.,Department of Diagnostic Science, Ghent University, Ghent, Belgium
| | - Carolien Bonroy
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium.,Department of Diagnostic Science, Ghent University, Ghent, Belgium
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11
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Diks AM, Bonroy C, Teodosio C, Groenland RJ, de Mooij B, de Maertelaere E, Neirynck J, Philippé J, Orfao A, van Dongen JJM, Berkowska MA. Impact of blood storage and sample handling on quality of high dimensional flow cytometric data in multicenter clinical research. J Immunol Methods 2019; 475:112616. [PMID: 31181213 DOI: 10.1016/j.jim.2019.06.007] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 05/21/2019] [Accepted: 06/04/2019] [Indexed: 01/20/2023]
Abstract
Obtaining reliable and reproducible high quality data in multicenter clinical research settings requires design of optimal standard operating procedures. While the need for standardization in sample processing and data analysis is well-recognized, the impact of sample handling in the pre-analytical phase remains underestimated. We evaluated the impact of sample storage time (≈transport time) and temperature, type of anticoagulant, and limited blood volume on reproducibility of flow cytometric studies. EDTA and Na-Heparin samples processed with the EuroFlow bulk lysis protocol, stained and stored at 4 °C showed fairly stable expression of cell surface markers and distribution of the major leukocyte populations for up to 72 h. Additional sample fixation (1% PFA, Fix & Perm) did not have any beneficial effects. Blood samples stored for <24 h at room temperature before processing and staining seemed suitable for reliable immunophenotyping, although losses in absolute cell numbers were observed. The major losses were observed in myeloid cells and monocytes, while lymphocytes seemed less affected. Expression of cell surface markers and population distribution were more stable in Na-Heparin blood than in EDTA blood. However, storage of Na-Heparin samples was associated with faster decrease in leukocyte counts over time. Whole blood fixation strategies (Cyto-Chex, TransFix) improved long-term population distribution, but were detrimental for expression of cellular markers. The main conclusions from this study on healthy donor blood samples were successfully confirmed in EDTA clinical (patient) blood samples with different time delays until processing. Finally, we recognized the need for adjustments in bulk lysis in case of insufficient blood volumes. Despite clear overall conclusions, individual markers and cell populations had different preferred conditions. Therefore, specific guidelines for sample handling should always be adjusted to the clinical application and the main target leukocyte population.
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Affiliation(s)
- A M Diks
- Department of Immunohematology and Blood Transfusion, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands
| | - C Bonroy
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium; Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - C Teodosio
- Department of Immunohematology and Blood Transfusion, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands
| | - R J Groenland
- Department of Immunohematology and Blood Transfusion, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands
| | - B de Mooij
- Department of Immunohematology and Blood Transfusion, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands
| | - E de Maertelaere
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - J Neirynck
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - J Philippé
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium; Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - A Orfao
- Cancer Research Centre (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
| | - J J M van Dongen
- Department of Immunohematology and Blood Transfusion, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands.
| | - M A Berkowska
- Department of Immunohematology and Blood Transfusion, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands
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