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Kaiser FMP, Janowska I, Menafra R, de Gier M, Korzhenevich J, Pico-Knijnenburg I, Khatri I, Schulz A, Kuijpers TW, Lankester AC, Konstantinidis L, Erlacher M, Kloet S, van Schouwenburg PA, Rizzi M, van der Burg M. IL-7 receptor signaling drives human B-cell progenitor differentiation and expansion. Blood 2023; 142:1113-1130. [PMID: 37369082 PMCID: PMC10644098 DOI: 10.1182/blood.2023019721] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 05/18/2023] [Accepted: 06/05/2023] [Indexed: 06/29/2023] Open
Abstract
Although absence of interleukin-7 (IL-7) signaling completely abrogates T and B lymphopoiesis in mice, patients with severe combined immunodeficiency caused by mutations in the IL-7 receptor α chain (IL-7Rα) still generate peripheral blood B cells. Consequently, human B lymphopoiesis has been thought to be independent of IL-7 signaling. Using flow cytometric analysis and single-cell RNA sequencing of bone marrow samples from healthy controls and patients who are IL-7Rα deficient, in combination with in vitro modeling of human B-cell differentiation, we demonstrate that IL-7R signaling plays a crucial role in human B lymphopoiesis. IL-7 drives proliferation and expansion of early B-cell progenitors but not of pre-BII large cells and has a limited role in the prevention of cell death. Furthermore, IL-7 guides cell fate decisions by enhancing the expression of BACH2, EBF1, and PAX5, which jointly orchestrate the specification and commitment of early B-cell progenitors. In line with this observation, early B-cell progenitors of patients with IL-7Rα deficiency still expressed myeloid-specific genes. Collectively, our results unveil a previously unknown role for IL-7 signaling in promoting the B-lymphoid fate and expanding early human B-cell progenitors while defining important differences between mice and humans. Our results have implications for hematopoietic stem cell transplantation strategies in patients with T- B+ severe combined immunodeficiency and provide insights into the role of IL-7R signaling in leukemogenesis.
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Affiliation(s)
- Fabian M. P. Kaiser
- Department of Immunology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Iga Janowska
- Department of Rheumatology and Clinical Immunology, Freiburg University Medical Center, University of Freiburg, Freiburg, Germany
- Center for Chronic Immunodeficiency, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | | | - Melanie de Gier
- Department of Pediatrics, Laboratory for Pediatric Immunology, Willem-Alexander Children’s Hospital, Leiden University Medical Center, Leiden, The Netherlands
| | - Jakov Korzhenevich
- Division of Clinical and Experimental Immunology, Institute of Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - Ingrid Pico-Knijnenburg
- Department of Pediatrics, Laboratory for Pediatric Immunology, Willem-Alexander Children’s Hospital, Leiden University Medical Center, Leiden, The Netherlands
| | - Indu Khatri
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Ansgar Schulz
- Department of Pediatrics and Adolescent Medicine, University Medical Center, University Ulm, Ulm, Germany
| | - Taco W. Kuijpers
- Department of Pediatrics, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Arjan C. Lankester
- Department of Pediatrics, Hematology and Stem Cell Transplantation, Willem-Alexander Children’s Hospital, Leiden University Medical Center, Leiden, The Netherlands
| | - Lukas Konstantinidis
- Department of Orthopedics and Trauma Surgery, Freiburg University Medical Center, University of Freiburg, Freiburg, Germany
| | - Miriam Erlacher
- Division of Pediatric Hematology and Oncology, Department of Pediatrics and Adolescent Medicine, Freiburg University Medical Center, University of Freiburg, Freiburg, Germany
| | - Susan Kloet
- Leiden Genome Technology Center, Leiden, The Netherlands
| | - Pauline A. van Schouwenburg
- Department of Pediatrics, Laboratory for Pediatric Immunology, Willem-Alexander Children’s Hospital, Leiden University Medical Center, Leiden, The Netherlands
| | - Marta Rizzi
- Department of Rheumatology and Clinical Immunology, Freiburg University Medical Center, University of Freiburg, Freiburg, Germany
- Center for Chronic Immunodeficiency, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Division of Clinical and Experimental Immunology, Institute of Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
- Centre for Integrative Biological Signalling Studies, University of Freiburg, Freiburg, Germany
| | - Mirjam van der Burg
- Department of Pediatrics, Laboratory for Pediatric Immunology, Willem-Alexander Children’s Hospital, Leiden University Medical Center, Leiden, The Netherlands
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Koers J, Pollastro S, Tol S, Niewold ITG, van Schouwenburg PA, de Vries N, Rispens T. Improving naive B cell isolation by absence of CD45RB glycosylation and CD27 expression in combination with BCR isotype. Eur J Immunol 2022; 52:1630-1639. [PMID: 35862268 DOI: 10.1002/eji.202250013] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 07/06/2022] [Accepted: 07/20/2022] [Indexed: 12/14/2022]
Abstract
In past years ex vivo and in vivo experimental approaches involving human naive B cells have proven fundamental for elucidation of mechanisms promoting B cell differentiation in both health and disease. For such studies, it is paramount that isolation strategies yield a population of bona fide naive B cells, i.e., B cells that are phenotypically and functionally naive, clonally non-expanded, and have non-mutated BCR variable regions. In this study different combinations of common as well as recently identified B cell markers were compared to isolate naive B cells from human peripheral blood. High-throughput BCR sequencing was performed to analyze levels of somatic hypermutation and clonal expansion. Additionally, contamination from mature mutated B cells intrinsic to each cell-sorting strategy was evaluated and how this impacts the purity of obtained populations. Our results show that current naive B cell isolation strategies harbor contamination from non-naive B cells, and use of CD27-IgD+ is adequate but can be improved by including markers for CD45RB glycosylation and IgM. The finetuning of naive B cell classification provided herein will harmonize research lines using naive B cells, and will improve B cell profiling during health and disease, e.g. during diagnosis, treatment, and vaccination strategies.
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Affiliation(s)
- Jana Koers
- Sanquin Research, Department of Immunopathology, and Landsteiner Laboratory, Amsterdam University medical centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Sabrina Pollastro
- Sanquin Research, Department of Immunopathology, and Landsteiner Laboratory, Amsterdam University medical centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Simon Tol
- Sanquin Research, Department of Research facilities, and Landsteiner Laboratory, Amsterdam University medical centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Ilse T G Niewold
- Department of Rheumatology and Clinical Immunology, ARC, Amsterdam UMC, location AMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Pauline A van Schouwenburg
- Department of Pediatrics, Laboratory for Pediatric Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Niek de Vries
- Department of Rheumatology and Clinical Immunology, ARC, Amsterdam UMC, location AMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Theo Rispens
- Sanquin Research, Department of Immunopathology, and Landsteiner Laboratory, Amsterdam University medical centers, University of Amsterdam, Amsterdam, The Netherlands
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3
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van Schouwenburg PA, van der Burg M, IJspeert H. NGS-Based B-Cell Receptor Repertoire AnalysisRepertoire analyses in the Context of Inborn Errors of Immunity. Methods Mol Biol 2022; 2453:169-190. [PMID: 35622327 DOI: 10.1007/978-1-0716-2115-8_11] [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] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Inborn errors of immunity (IEI) are genetic defects that can affect both the innate and the adaptive immune system. Patients with IEI usually present with recurrent infections, but many also suffer from immune dysregulation, autoimmunity, and malignancies.Inborn errors of the immune system can cause defects in the development and selection of the B-cell receptor (BCR ) repertoire. Patients with IEI can have a defect in one of the key processes of immune repertoire formation like V(D)J recombination, somatic hypermutation (SHM), class switch recombination (CSR), or (pre-)BCR signalling and proliferation. However, also other genetic defects can lead to quantitative and qualitative differences in the immune repertoire.In this chapter, we will give an overview of protocols that can be used to study the immune repertoire in patients with IEI, provide considerations to take into account before setting up experiments, and discuss analysis of the immune repertoire data using Antigen Receptor Galaxy (ARGalaxy).
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Affiliation(s)
- Pauline A van Schouwenburg
- Department of Pediatrics, Laboratory for Pediatric Immunology, Willem-Alexander Children's Hospital, Leiden University Medical Center, Leiden, The Netherlands
| | - Mirjam van der Burg
- Department of Pediatrics, Laboratory for Pediatric Immunology, Willem-Alexander Children's Hospital, Leiden University Medical Center, Leiden, The Netherlands
| | - Hanna IJspeert
- Department of Immunology, Laboratory Medical Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
- Academic Center for Rare Immunological Diseases (RIDC), Erasmus University Medical Center, Rotterdam, The Netherlands.
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4
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Koers J, Pollastro S, Tol S, Pico-Knijnenburg I, Derksen NIL, van Schouwenburg PA, van der Burg M, van Ham SM, Rispens T. CD45RB Glycosylation and Ig Isotype Define Maturation of Functionally Distinct B Cell Subsets in Human Peripheral Blood. Front Immunol 2022; 13:891316. [PMID: 35572548 PMCID: PMC9095956 DOI: 10.3389/fimmu.2022.891316] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 03/07/2022] [Accepted: 04/04/2022] [Indexed: 11/13/2022] Open
Abstract
Glycosylation of CD45RB (RB+) has recently been identified to mark antigen-experienced B cells, independent of their CD27 expression. By using a novel combination of markers including CD45RB glycosylation, CD27 and IgM/IgD isotype expression we segregated human peripheral blood B cell subsets and investigated their IGHV repertoire and in vitro functionality. We observed distinct maturation stages for CD27-RB+ cells, defined by differential expression of non-switched Ig isotypes. CD27-RB+ cells, which only express IgM, were more matured in terms of Ig gene mutation levels and function as compared to CD27-RB+ cells that express both IgM and IgD or cells that were CD27-RB-. Moreover, CD27-RB+IgM+ cells already showed remarkable rigidity in IgM isotype commitment, different from CD27-RB+IgMD+ and CD27-RB- cells that still demonstrated great plasticity in B cell fate decision. Thus, glycosylation of CD45RB is indicative for antigen-primed B cells, which are, dependent on the Ig isotype, functionally distinct.
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Affiliation(s)
- Jana Koers
- Landsteiner Laboratory, Sanquin Research, Department of Immunopathology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Sabrina Pollastro
- Landsteiner Laboratory, Sanquin Research, Department of Immunopathology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Simon Tol
- Landsteiner Laboratory, Sanquin Research, Department of Research Facilities, Amsterdam University Medical Center (UMC), University of Amsterdam, Amsterdam, Netherlands
| | - Ingrid Pico-Knijnenburg
- Laboratory for Pediatric Immunology, Department of Pediatrics, Leiden University Medical Center, Leiden, Netherlands
| | - Ninotska I L Derksen
- Landsteiner Laboratory, Sanquin Research, Department of Immunopathology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Pauline A van Schouwenburg
- Laboratory for Pediatric Immunology, Department of Pediatrics, Leiden University Medical Center, Leiden, Netherlands
| | - Mirjam van der Burg
- Laboratory for Pediatric Immunology, Department of Pediatrics, Leiden University Medical Center, Leiden, Netherlands
| | - S Marieke van Ham
- Landsteiner Laboratory, Sanquin Research, Department of Immunopathology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.,Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands
| | - Theo Rispens
- Landsteiner Laboratory, Sanquin Research, Department of Immunopathology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
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5
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Framme JL, Lundqvist C, Lundell AC, van Schouwenburg PA, Lemarquis AL, Thörn K, Lindgren S, Gudmundsdottir J, Lundberg V, Degerman S, Zetterström RH, Borte S, Hammarström L, Telemo E, Hultdin M, van der Burg M, Fasth A, Oskarsdóttir S, Ekwall O. Long-Term Follow-Up of Newborns with 22q11 Deletion Syndrome and Low TRECs. J Clin Immunol 2022; 42:618-633. [PMID: 35080750 PMCID: PMC9016018 DOI: 10.1007/s10875-021-01201-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Accepted: 12/12/2021] [Indexed: 01/03/2023]
Abstract
Background Population-based neonatal screening using T-cell receptor excision circles (TRECs) identifies infants with profound T lymphopenia, as seen in cases of severe combined immunodeficiency, and in a subgroup of infants with 22q11 deletion syndrome (22q11DS). Purpose To investigate the long-term prognostic value of low levels of TRECs in newborns with 22q11DS. Methods Subjects with 22q11DS and low TRECs at birth (22q11Low, N=10), matched subjects with 22q11DS and normal TRECs (22q11Normal, N=10), and matched healthy controls (HC, N=10) were identified. At follow-up (median age 16 years), clinical and immunological characterizations, covering lymphocyte subsets, immunoglobulins, TRECs, T-cell receptor repertoires, and relative telomere length (RTL) measurements were performed. Results At follow-up, the 22q11Low group had lower numbers of naïve T-helper cells, naïve T-regulatory cells, naïve cytotoxic T cells, and persistently lower TRECs compared to healthy controls. Receptor repertoires showed skewed V-gene usage for naïve T-helper cells, whereas for naïve cytotoxic T cells, shorter RTL and a trend towards higher clonality were found. Multivariate discriminant analysis revealed a clear distinction between the three groups and a skewing towards Th17 differentiation of T-helper cells, particularly in the 22q11Low individuals. Perturbations of B-cell subsets were found in both the 22q11Low and 22q11Normal group compared to the HC group, with larger proportions of naïve B cells and lower levels of memory B cells, including switched memory B cells. Conclusions This long-term follow-up study shows that 22q11Low individuals have persistent immunologic aberrations and increased risk for immune dysregulation, indicating the necessity of lifelong monitoring. Clinical Implications This study elucidates the natural history of childhood immune function in newborns with 22q11DS and low TRECs, which may facilitate the development of programs for long-term monitoring and therapeutic choices. Supplementary Information The online version contains supplementary material available at 10.1007/s10875-021-01201-5.
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Affiliation(s)
- Jenny Lingman Framme
- Department of Pediatrics, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.
- Department of Pediatrics, Halland Hospital Halmstad, Halmstad, Region Halland, Sweden.
| | - Christina Lundqvist
- Department of Rheumatology and Inflammation Research, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Anna-Carin Lundell
- Department of Rheumatology and Inflammation Research, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Pauline A van Schouwenburg
- Department of Pediatrics, Laboratory for Pediatric Immunology, Willem-Alexander Children's Hospital, Leiden University Medical Center, Leiden, The Netherlands
| | - Andri L Lemarquis
- Department of Pediatrics, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Karolina Thörn
- Department of Rheumatology and Inflammation Research, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Susanne Lindgren
- Department of Pediatrics, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
- Department of Rheumatology and Inflammation Research, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Judith Gudmundsdottir
- Department of Pediatrics, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
- Children's Medical Center, National University Hospital of Iceland, Reykjavík, Iceland
| | - Vanja Lundberg
- Department of Pediatrics, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
- Department of Rheumatology and Inflammation Research, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Sofie Degerman
- Department of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden
- Department of Clinical Microbiology, Umeå University, Umeå, Sweden
| | - Rolf H Zetterström
- Centre for Inherited Metabolic Diseases, Karolinska University Hospital Solna, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
| | - Stephan Borte
- ImmunoDeficiencyCenter Leipzig (IDCL), Municipal Hospital St. Georg Leipzig, Leipzig, Germany
| | - Lennart Hammarström
- Department of Biosciences and Nutrition, Neo, Karolinska Institute, Stockholm, Sweden
| | - Esbjörn Telemo
- Department of Rheumatology and Inflammation Research, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Magnus Hultdin
- Department of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden
| | - Mirjam van der Burg
- Department of Pediatrics, Laboratory for Pediatric Immunology, Willem-Alexander Children's Hospital, Leiden University Medical Center, Leiden, The Netherlands
| | - Anders Fasth
- Department of Pediatrics, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Sólveig Oskarsdóttir
- Department of Pediatrics, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Olov Ekwall
- Department of Pediatrics, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
- Department of Rheumatology and Inflammation Research, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
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Sepúlveda-Yáñez JH, Alvarez Saravia D, Pilzecker B, van Schouwenburg PA, van den Burg M, Veelken H, Navarrete MA, Jacobs H, Koning MT. Tandem Substitutions in Somatic Hypermutation. Front Immunol 2022; 12:807015. [PMID: 35069591 PMCID: PMC8781386 DOI: 10.3389/fimmu.2021.807015] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 12/16/2021] [Indexed: 11/13/2022] Open
Abstract
Upon antigen recognition, activation-induced cytosine deaminase initiates affinity maturation of the B-cell receptor by somatic hypermutation (SHM) through error-prone DNA repair pathways. SHM typically creates single nucleotide substitutions, but tandem substitutions may also occur. We investigated incidence and sequence context of tandem substitutions by massive parallel sequencing of V(D)J repertoires in healthy human donors. Mutation patterns were congruent with SHM-derived single nucleotide mutations, delineating initiation of the tandem substitution by AID. Tandem substitutions comprised 5,7% of AID-induced mutations. The majority of tandem substitutions represents single nucleotide juxtalocations of directly adjacent sequences. These observations were confirmed in an independent cohort of healthy donors. We propose a model where tandem substitutions are predominantly generated by translesion synthesis across an apyramidinic site that is typically created by UNG. During replication, apyrimidinic sites transiently adapt an extruded configuration, causing skipping of the extruded base. Consequent strand decontraction leads to the juxtalocation, after which exonucleases repair the apyramidinic site and any directly adjacent mismatched base pairs. The mismatch repair pathway appears to account for the remainder of tandem substitutions. Tandem substitutions may enhance affinity maturation and expedite the adaptive immune response by overcoming amino acid codon degeneracies or mutating two adjacent amino acid residues simultaneously.
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Affiliation(s)
- Julieta H Sepúlveda-Yáñez
- Department of Hematology, Leiden University Medical Center, Leiden, Netherlands
- School of Medicine, University of Magallanes, Punta Arenas, Chile
| | | | - Bas Pilzecker
- Department of Tumor Immunology, Radboud Institute for Molecular Life Sciences, Nijmegen, Netherlands
- Division of Tumor Biology and Immunology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | | | - Mirjam van den Burg
- Department of Pediatrics, Leiden University Medical Center, Leiden, Netherlands
| | - Hendrik Veelken
- Department of Hematology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Heinz Jacobs
- Division of Tumor Biology and Immunology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Marvyn T Koning
- Department of Hematology, Leiden University Medical Center, Leiden, Netherlands
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7
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van der Maas NG, von Asmuth EGJ, Berghuis D, van Schouwenburg PA, Putter H, van der Burg M, Lankester AC. Modeling Influencing Factors in B-Cell Reconstitution After Hematopoietic Stem Cell Transplantation in Children. Front Immunol 2021; 12:684147. [PMID: 34025685 PMCID: PMC8138425 DOI: 10.3389/fimmu.2021.684147] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 04/22/2021] [Indexed: 11/13/2022] Open
Abstract
Reduced total and memory B-cell numbers in peripheral blood long term after hematopoietic stem cell transplantation (HSCT) are associated with an increased incidence of infections and immune complications. Using novel modelling strategies, baseline factors influencing B-cell reconstitution can be comprehensively studied. This study aims to investigate the numerical total and memory B-cell reconstitution in children and the association with baseline determinants 0.5-2 years after allogeneic HSCT. Eligible for inclusion were children transplanted in our center between 2004-2017 who received a first HSCT for malignant or non-malignant disorders. The continuous absolute counts of total and memory B-cells were evaluated as outcome measure. Exploratory analysis at one year was done to identify possible determinants. Linear mixed effect modelling was used to analyze the association of these determinants with total and memory B-cell reconstitution 0.5-2 years after HSCT. In a cohort of 223 evaluable patients analyzed at 1-year after HSCT donor age, stem cell source, donor type, recipient age and conditioning were identified as significant determinants for total and memory B-cell numbers. Multivariable analysis revealed that both donor and recipient age were inversely correlated with the size of total and memory B-cell reconstitution. In contrast, no correlation was found with stem cell source, donor type and conditioning. Making use of linear mixed modelling both stem cell donor and recipient age were identified as independent determinants of total and memory B-cell reconstitution 0.5-2 years after HSCT.
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Affiliation(s)
- Nicolaas G van der Maas
- Willem-Alexander Children's Hospital, Department of Pediatrics and Laboratory for Pediatric Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Erik G J von Asmuth
- Willem-Alexander Children's Hospital, Department of Pediatrics and Laboratory for Pediatric Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Dagmar Berghuis
- Willem-Alexander Children's Hospital, Department of Pediatrics and Laboratory for Pediatric Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Pauline A van Schouwenburg
- Willem-Alexander Children's Hospital, Department of Pediatrics and Laboratory for Pediatric Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Hein Putter
- Leiden University Medical Center, Department of Medical Statistics and Bioinformatics, Leiden, Netherlands
| | - Mirjam van der Burg
- Willem-Alexander Children's Hospital, Department of Pediatrics and Laboratory for Pediatric Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Arjan C Lankester
- Willem-Alexander Children's Hospital, Department of Pediatrics and Laboratory for Pediatric Immunology, Leiden University Medical Center, Leiden, Netherlands
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8
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IJspeert H, van Schouwenburg PA, Pico-Knijnenburg I, Loeffen J, Brugieres L, Driessen GJ, Blattmann C, Suerink M, Januszkiewicz-Lewandowska D, Azizi AA, Seidel MG, Jacobs H, van der Burg M. Repertoire Sequencing of B Cells Elucidates the Role of UNG and Mismatch Repair Proteins in Somatic Hypermutation in Humans. Front Immunol 2019; 10:1913. [PMID: 31507588 PMCID: PMC6718458 DOI: 10.3389/fimmu.2019.01913] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [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: 05/31/2019] [Accepted: 07/29/2019] [Indexed: 01/12/2023] Open
Abstract
The generation of high-affinity antibodies depends on somatic hypermutation (SHM). SHM is initiated by the activation-induced cytidine deaminase (AID), which generates uracil (U) lesions in the B-cell receptor (BCR) encoding genes. Error-prone processing of U lesions creates a typical spectrum of point mutations during SHM. The aim of this study was to determine the molecular mechanism of SHM in humans; currently available knowledge is limited by the number of mutations analyzed per patient. We collected a unique cohort of 10 well-defined patients with bi-allelic mutations in genes involved in base excision repair (BER) (UNG) or mismatch repair (MMR) (MSH2, MSH6, or PMS2) and are the first to present next-generation sequencing (NGS) data of the BCR, allowing us to study SHM extensively in humans. Analysis using ARGalaxy revealed selective skewing of SHM mutation patterns specific for each genetic defect, which are in line with the five-pathway model of SHM that was recently proposed based on mice data. However, trans-species comparison revealed differences in the role of PMS2 and MSH2 in strand targeting between mice and man. In conclusion, our results indicate a role for UNG, MSH2, MSH6, and PMS2 in the generation of SHM in humans comparable to their function in mice. However, we observed differences in strand targeting between humans and mice, emphasizing the importance of studying molecular mechanisms in a human setting. The here developed method combining NGS and ARGalaxy analysis of BCR mutation data forms the basis for efficient SHM analyses of other immune deficiencies.
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Affiliation(s)
- Hanna IJspeert
- Department of Immunology, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, Netherlands.,Laboratory for Immunology, Department of Pediatrics, Leiden University Medical Center, Leiden, Netherlands
| | - Pauline A van Schouwenburg
- Department of Immunology, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Ingrid Pico-Knijnenburg
- Laboratory for Immunology, Department of Pediatrics, Leiden University Medical Center, Leiden, Netherlands
| | - Jan Loeffen
- Department of Pediatric Oncology and Hematology, Erasmus Medical Centre, Sophia Children's Hospital, Rotterdam, Netherlands
| | - Laurence Brugieres
- Department of Pediatric and Adolescent Oncology, Gustave Roussy Cancer Campus, Villejuif, France
| | - Gertjan J Driessen
- Department of Paediatrics, Juliana Children's Hospital, Haga Teaching Hospital, The Hague, Netherlands
| | - Claudia Blattmann
- Department of Pediatric Hematology and Oncology, Palliative Care, Olgahospital Klinikum Stuttgart, Stuttgart, Germany
| | - Manon Suerink
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, Netherlands
| | | | - Amedeo A Azizi
- Department of Pediatrics and Adolescent Medicine, Medical University Vienna, Vienna, Austria
| | - Marcus G Seidel
- Research Unit Pediatric Hematology and Immunology, Division of Pediatric Hematology-Oncology, Department of Pediatrics and Adolescent Medicine, Medical University Graz, Graz, Austria
| | - Heinz Jacobs
- Division of Tumor Biology and Immunology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Mirjam van der Burg
- Laboratory for Immunology, Department of Pediatrics, Leiden University Medical Center, Leiden, Netherlands
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9
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van Schouwenburg PA, IJspeert H, Pico-Knijnenburg I, Dalm VASH, van Hagen PM, van Zessen D, Stubbs AP, Patel SY, van der Burg M. Identification of CVID Patients With Defects in Immune Repertoire Formation or Specification. Front Immunol 2018; 9:2545. [PMID: 30532750 PMCID: PMC6265514 DOI: 10.3389/fimmu.2018.02545] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [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: 08/13/2018] [Accepted: 10/16/2018] [Indexed: 01/08/2023] Open
Abstract
Common variable immune deficiency disorder (CVID) is the most clinically relevant cause of antibody failure. It is a highly heterogeneous disease with different underlying etiologies. CVID has been associated with a quantitative B cell defect, however, little is known about the quality of B cells present. Here, we studied the naïve and antigen selected B-cell receptor (BCR) repertoire in 33 CVID patients using next generation sequencing, to investigate B cells quality. Analysis for each individual patient revealed whether they have a defect in immune repertoire formation [V(D)J recombination] or specification (somatic hypermutation, subclass distribution, or selection). The naïve BCR repertoire was normal in most of the patients, although alterations in repertoire diversity and the junctions were found in a limited number of patients indicating possible defects in early B-cell development or V(D)J recombination in these patients. In contrast, major differences were found in the antigen selected BCR repertoire. Here, most patients (15/17) showed a reduced frequency of somatic hypermutation (SHM), changes in subclass distribution and/or minor alterations in antigen selection. Together these data show that in our CVID cohort only a small number of patients have a defect in formation of the naïve BCR repertoire, whereas the clear majority of patients have disturbances in their antigen selected repertoire, suggesting a defect in repertoire specification in the germinal centers of these patients. This highlights that CVID patients not only have a quantitative B cell defect, but that also the quality of, especially post germinal center B cells, is impaired.
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Affiliation(s)
| | - Hanna IJspeert
- Department of Immunology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | | | - Virgil A S H Dalm
- Department of Immunology, Erasmus MC University Medical Center, Rotterdam, Netherlands.,Division of Clinical Immunology, Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - P Martin van Hagen
- Department of Immunology, Erasmus MC University Medical Center, Rotterdam, Netherlands.,Division of Clinical Immunology, Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - David van Zessen
- Clinical Bioinformatics Unit, Department of Pathology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Andrew P Stubbs
- Clinical Bioinformatics Unit, Department of Pathology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Smita Y Patel
- Nuffield Department of Clinical Medicine and Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
| | - Mirjam van der Burg
- Department of Immunology, Erasmus MC University Medical Center, Rotterdam, Netherlands
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10
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Van Nieuwenhove E, Garcia-Perez JE, Helsen C, Rodriguez PD, van Schouwenburg PA, Dooley J, Schlenner S, van der Burg M, Verhoeyen E, Gijsbers R, Frietze S, Schjerven H, Meyts I, Claessens F, Humblet-Baron S, Wouters C, Liston A. A kindred with mutant IKAROS and autoimmunity. J Allergy Clin Immunol 2018; 142:699-702.e12. [PMID: 29705243 DOI: 10.1016/j.jaci.2018.04.008] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Revised: 04/09/2018] [Accepted: 04/16/2018] [Indexed: 11/17/2022]
Affiliation(s)
- Erika Van Nieuwenhove
- Department of Microbiology and Immunology, KUL - University of Leuven, Leuven, Belgium; VIB Center for Brain and Disease Research, Leuven, Belgium; University Hospitals Leuven, Leuven, Belgium
| | - Josselyn E Garcia-Perez
- Department of Microbiology and Immunology, KUL - University of Leuven, Leuven, Belgium; VIB Center for Brain and Disease Research, Leuven, Belgium
| | - Christine Helsen
- Department of Cellular and Molecular Medicine, KUL - University of Leuven, Leuven, Belgium
| | - Princess D Rodriguez
- Department of Medical Laboratory and Radiation Science, University of Vermont, Burlington, Vt
| | | | - James Dooley
- Department of Microbiology and Immunology, KUL - University of Leuven, Leuven, Belgium; VIB Center for Brain and Disease Research, Leuven, Belgium
| | - Susan Schlenner
- Department of Microbiology and Immunology, KUL - University of Leuven, Leuven, Belgium; VIB Center for Brain and Disease Research, Leuven, Belgium
| | - Mirjam van der Burg
- Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Els Verhoeyen
- CIRI - International Center for Infectiology Research, Team EVIR, Inserm, Université Claude Bernard Lyon 1, Ecole Normale Supérieure de Lyon, Univ Lyon, Lyon, France; Université Côte d'Azur, INSERM, C3M, Nice, France
| | - Rik Gijsbers
- the Laboratory for Viral Vector Technology and Gene Therapy, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium; Leuven Viral Vector Core, Leuven, Belgium
| | - Seth Frietze
- Department of Medical Laboratory and Radiation Science, University of Vermont, Burlington, Vt
| | - Hilde Schjerven
- the Department of Laboratory Medicine, University of California, San Francisco, Calif
| | - Isabelle Meyts
- Department of Microbiology and Immunology, KUL - University of Leuven, Leuven, Belgium; University Hospitals Leuven, Leuven, Belgium
| | - Frank Claessens
- Department of Cellular and Molecular Medicine, KUL - University of Leuven, Leuven, Belgium
| | - Stephanie Humblet-Baron
- Department of Microbiology and Immunology, KUL - University of Leuven, Leuven, Belgium; VIB Center for Brain and Disease Research, Leuven, Belgium
| | - Carine Wouters
- Department of Microbiology and Immunology, KUL - University of Leuven, Leuven, Belgium; University Hospitals Leuven, Leuven, Belgium.
| | - Adrian Liston
- Department of Microbiology and Immunology, KUL - University of Leuven, Leuven, Belgium; VIB Center for Brain and Disease Research, Leuven, Belgium.
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11
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IJspeert H, van Schouwenburg PA, van Zessen D, Pico-Knijnenburg I, Stubbs AP, van der Burg M. Antigen Receptor Galaxy: A User-Friendly, Web-Based Tool for Analysis and Visualization of T and B Cell Receptor Repertoire Data. J Immunol 2017; 198:4156-4165. [PMID: 28416602 DOI: 10.4049/jimmunol.1601921] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Accepted: 03/13/2017] [Indexed: 11/19/2022]
Abstract
Antigen Receptor Galaxy (ARGalaxy) is a Web-based tool for analyses and visualization of TCR and BCR sequencing data of 13 species. ARGalaxy consists of four parts: the demultiplex tool, the international ImMunoGeneTics information system (IMGT) concatenate tool, the immune repertoire pipeline, and the somatic hypermutation (SHM) and class switch recombination (CSR) pipeline. Together they allow the analysis of all different aspects of the immune repertoire. All pipelines can be run independently or combined, depending on the available data and the question of interest. The demultiplex tool allows data trimming and demultiplexing, whereas with the concatenate tool multiple IMGT/HighV-QUEST output files can be merged into a single file. The immune repertoire pipeline is an extended version of our previously published ImmunoGlobulin Galaxy (IGGalaxy) virtual machine that was developed to visualize V(D)J gene usage. It allows analysis of both BCR and TCR rearrangements, visualizes CDR3 characteristics (length and amino acid usage) and junction characteristics, and calculates the diversity of the immune repertoire. Finally, ARGalaxy includes the newly developed SHM and CSR pipeline to analyze SHM and/or CSR in BCR rearrangements. It analyzes the frequency and patterns of SHM, Ag selection (including BASELINe), clonality (Change-O), and CSR. The functionality of the ARGalaxy tool is illustrated in several clinical examples of patients with primary immunodeficiencies. In conclusion, ARGalaxy is a novel tool for the analysis of the complete immune repertoire, which is applicable to many patient groups with disturbances in the immune repertoire such as autoimmune diseases, allergy, and leukemia, but it can also be used to address basic research questions in repertoire formation and selection.
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Affiliation(s)
- Hanna IJspeert
- Department of Immunology, Erasmus University Medical Center, 3015 CN Rotterdam, the Netherlands; and
| | | | - David van Zessen
- Department of Immunology, Erasmus University Medical Center, 3015 CN Rotterdam, the Netherlands; and.,Department of Bioinformatics, Erasmus University Medical Center, 3015 CE Rotterdam, the Netherlands
| | - Ingrid Pico-Knijnenburg
- Department of Immunology, Erasmus University Medical Center, 3015 CN Rotterdam, the Netherlands; and
| | - Andrew P Stubbs
- Department of Bioinformatics, Erasmus University Medical Center, 3015 CE Rotterdam, the Netherlands
| | - Mirjam van der Burg
- Department of Immunology, Erasmus University Medical Center, 3015 CN Rotterdam, the Netherlands; and
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12
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Wentink M, Dalm V, Lankester AC, van Schouwenburg PA, Schölvinck L, Kalina T, Zachova R, Sediva A, Lambeck A, Pico-Knijnenburg I, van Dongen JJM, Pac M, Bernatowska E, van Hagen M, Driessen G, van der Burg M. Genetic defects in PI3Kδ affect B-cell differentiation and maturation leading to hypogammaglobulineamia and recurrent infections. Clin Immunol 2017; 176:77-86. [PMID: 28104464 DOI: 10.1016/j.clim.2017.01.004] [Citation(s) in RCA: 68] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2016] [Revised: 01/05/2017] [Accepted: 01/06/2017] [Indexed: 12/18/2022]
Abstract
BACKGROUND Mutations in PIK3CD and PIK3R1 cause activated PI3K-δ syndrome (APDS) by dysregulation of the PI3K-AKT pathway. METHODS We studied precursor and peripheral B-cell differentiation and apoptosis via flowcytometry. Furthermore, we performed AKT-phosphorylation assays and somatic hypermutations (SHM) and class switch recombination (CSR) analysis. RESULTS We identified 13 patients of whom 3 had new mutations in PIK3CD or PIK3R1. Patients had low total B-cell numbers with increased frequencies of transitional B cells and plasmablasts, while the precursor B-cell compartment in bone marrow was relatively normal. Basal AKT phosphorylation was increased in lymphocytes from APDS patients and natural effector B cells where most affected. PI3K mutations resulted in altered SHM and CSR and increased apoptosis. CONCLUSIONS The B-cell compartment in APDS patients is affected by the mutations in PI3K. There is reduced differentiation beyond the transitional stage, increased AKT phosphorylation and increased apoptosis. This B-cell phenotype contributes to the clinical phenotype.
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Affiliation(s)
- Marjolein Wentink
- Dept. of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Virgil Dalm
- Dept. of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands; Dept. of Internal Medicine, Division of Clinical Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Arjan C Lankester
- Dept. of Pediatric Hematology, Leiden University Medical Centre, Leiden, The Netherlands
| | | | - Liesbeth Schölvinck
- University of Groningen, University Medical Centre Groningen, Beatrix Children's Hospital, Department of Paediatrics, Infectious Diseases and Immunology Section, Groningen, The Netherlands
| | - Tomas Kalina
- Dept. of Pediatric Hematology and Oncology, Charles University, 2nd Faculty of Medicine, Prague, Czech Republic
| | - Radana Zachova
- Dept. of Immunology, Charles University, 2nd Faculty of Medicine and Motol Hospital, Prague, Czech Republic
| | - Anna Sediva
- Dept. of Immunology, Charles University, 2nd Faculty of Medicine and Motol Hospital, Prague, Czech Republic
| | - Annechien Lambeck
- University of Groningen, University Medical Centre Groningen, Beatrix Children's Hospital, Department of Paediatrics, Infectious Diseases and Immunology Section, Groningen, The Netherlands
| | - Ingrid Pico-Knijnenburg
- Dept. of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Jacques J M van Dongen
- Dept. of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands; Dept. of Immunohematology and Blood Bank, Leiden University Medical Center, Leiden, The Netherlands
| | - Malgorzata Pac
- Dept. of Immunology, The Children's Memorial Health Institute, Warsaw, Poland
| | - Ewa Bernatowska
- Dept. of Immunology, The Children's Memorial Health Institute, Warsaw, Poland
| | - Martin van Hagen
- Dept. of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands; Dept. of Internal Medicine, Division of Clinical Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Gertjan Driessen
- Dept. of Pediatric Immunology and Infectious Diseases, Sophia Children's Hospital, Erasmus MC, Rotterdam, The Netherlands.
| | - Mirjam van der Burg
- Dept. of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
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13
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IJspeert H, van Schouwenburg PA, van Zessen D, Pico-Knijnenburg I, Driessen GJ, Stubbs AP, van der Burg M. Evaluation of the Antigen-Experienced B-Cell Receptor Repertoire in Healthy Children and Adults. Front Immunol 2016; 7:410. [PMID: 27799928 PMCID: PMC5066086 DOI: 10.3389/fimmu.2016.00410] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [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: 07/19/2016] [Accepted: 09/22/2016] [Indexed: 12/03/2022] Open
Abstract
Upon antigen recognition via their B cell receptor (BR), B cells migrate to the germinal center where they undergo somatic hypermutation (SHM) to increase their affinity for the antigen, and class switch recombination (CSR) to change the effector function of the secreted antibodies. These steps are essential to create an antigen-experienced BR repertoire that efficiently protects the body against pathogens. At the same time, the BR repertoire should be selected to protect against responses to self-antigen or harmless antigens. Insights into the processes of SHM, selection, and CSR can be obtained by studying the antigen-experienced BR repertoire. Currently, a large reference data set of healthy children and adults, which ranges from neonates to the elderly, is not available. In this study, we analyzed the antigen-experienced repertoire of 38 healthy donors (HD), ranging from cord blood to 74 years old, by sequencing IGA and IGG transcripts using next generation sequencing. This resulted in a large, freely available reference data set containing 412,890 IGA and IGG transcripts. We used this data set to study mutation levels, SHM patterns, antigenic selection, and CSR from birth to elderly HD. Only small differences were observed in SHM patterns, while the mutation levels increase in early childhood and stabilize at 6 years of age at around 7%. Furthermore, comparison of the antigen-experienced repertoire with sequences from the naive immune repertoire showed that features associated with autoimmunity such as long CDR3 length and IGHV4-34 usage are reduced in the antigen-experienced repertoire. Moreover, IGA2 and IGG2 usage was increased in HD in higher age categories, while IGG1 usage was decreased. In addition, we studied clonal relationship in the different samples. Clonally related sequences were found with different subclasses. Interestingly, we found transcripts with the same CDR1–CDR3 sequence, but different subclasses. Together, these data suggest that a single antigen can provoke a B-cell response with BR of different subclasses and that, during the course of an immune response, some B cells change their isotype without acquiring additional SHM or can directly switch to different isotypes.
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Affiliation(s)
- Hanna IJspeert
- Department of Immunology, Erasmus MC, University Medical Center Rotterdam , Rotterdam , Netherlands
| | | | - David van Zessen
- Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands; Department of Bioinformatics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Ingrid Pico-Knijnenburg
- Department of Immunology, Erasmus MC, University Medical Center Rotterdam , Rotterdam , Netherlands
| | - Gertjan J Driessen
- Department of Pediatrics, Erasmus MC-Sophia Children's Hospital, University Medical Center Rotterdam , Rotterdam , Netherlands
| | - Andrew P Stubbs
- Department of Bioinformatics, Erasmus MC, University Medical Center Rotterdam , Rotterdam , Netherlands
| | - Mirjam van der Burg
- Department of Immunology, Erasmus MC, University Medical Center Rotterdam , Rotterdam , Netherlands
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14
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van Schie KA, Kruithof S, van Schouwenburg PA, Vennegoor A, Killestein J, Wolbink G, Rispens T. Neutralizing capacity of monoclonal and polyclonal anti-natalizumab antibodies: The immune response to antibody therapeutics preferentially targets the antigen-binding site. J Allergy Clin Immunol 2016; 139:1035-1037.e6. [PMID: 27717666 DOI: 10.1016/j.jaci.2016.09.014] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2016] [Revised: 08/30/2016] [Accepted: 09/12/2016] [Indexed: 12/24/2022]
Affiliation(s)
- Karin A van Schie
- Department of Immunopathology, Sanquin Research, Amsterdam, The Netherlands; Landsteiner Laboratory, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Simone Kruithof
- Department of Immunopathology, Sanquin Research, Amsterdam, The Netherlands; Landsteiner Laboratory, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Pauline A van Schouwenburg
- Department of Immunopathology, Sanquin Research, Amsterdam, The Netherlands; Landsteiner Laboratory, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Anke Vennegoor
- Department of Neurology, Amsterdam Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Joep Killestein
- Department of Neurology, Amsterdam Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Gertjan Wolbink
- Department of Immunopathology, Sanquin Research, Amsterdam, The Netherlands; Landsteiner Laboratory, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands; Jan van Breemen Research Institute
- Reade, Amsterdam, The Netherlands
| | - Theo Rispens
- Department of Immunopathology, Sanquin Research, Amsterdam, The Netherlands; Landsteiner Laboratory, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands.
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15
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van Schouwenburg PA, Kruithof S, Wolbink G, Wouters D, Rispens T. Using monoclonal antibodies as an international standard for the measurement of anti-adalimumab antibodies. J Pharm Biomed Anal 2016; 120:198-201. [DOI: 10.1016/j.jpba.2015.12.040] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2015] [Revised: 12/17/2015] [Accepted: 12/20/2015] [Indexed: 11/30/2022]
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16
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Kienzler AK, van Schouwenburg PA, Taylor J, Marwah I, Sharma RU, Noakes C, Thomson K, Sadler R, Segal S, Ferry B, Taylor JC, Blair E, Chapel H, Patel SY. Hypomorphic function and somatic reversion of DOCK8 cause combined immunodeficiency without hyper-IgE. Clin Immunol 2015; 163:17-21. [PMID: 26680607 PMCID: PMC4758821 DOI: 10.1016/j.clim.2015.12.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2015] [Accepted: 12/08/2015] [Indexed: 11/07/2022]
Abstract
Loss-of-function mutations in DOCK8 are linked to hyper-IgE syndrome. Patients typically present with recurrent sinopulmonary infections, severe cutaneous viral infections, food allergies and elevated serum IgE. Although patients may present with a spectrum of disease-related symptoms, molecular mechanisms explaining phenotypic variability in patients are poorly defined. Here we characterized a novel compound heterozygous mutation in DOCK8 in a patient diagnosed with primary combined immunodeficiency which was not typical of classical DOCK8 deficiency. In contrast to previously identified mutations in DOCK8 which result in complete loss of function, the newly identified single nucleotide insertion results in expression of a truncated DOCK8 protein. Functional evaluation of the truncated DOCK8 protein revealed its hypomorphic function. In addition we found somatic reversion of DOCK8 predominantly in T cells. The combination of somatic reversion and hypomorphic DOCK8 function explains the milder and atypical phenotype of the patient and further broadens the spectrum of DOCK8-associated disease. Whole exome sequencing identified the underlying defect in a patient with combined immunodeficiency. A novel compound heterozygous DOCK8 mutation was identified. Expression of a truncated DOCK8 protein with hypomorphic function was identified. Somatic reversion of DOCK8 mainly in T cells was identified. DOCK8 deficiency may present without severe viral infections and increased serum IgE levels.
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Affiliation(s)
- Anne-Kathrin Kienzler
- Nuffield Department of Medicine, Experimental Medicine Division, University of Oxford, UK; Oxford NIHR Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK.
| | - Pauline A van Schouwenburg
- Nuffield Department of Medicine, Experimental Medicine Division, University of Oxford, UK; Oxford NIHR Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - John Taylor
- Oxford NHS Regional Molecular Genetics Laboratory, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Ishita Marwah
- Nuffield Department of Medicine, Experimental Medicine Division, University of Oxford, UK; Oxford NIHR Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - Richa U Sharma
- Nuffield Department of Medicine, Experimental Medicine Division, University of Oxford, UK; Oxford NIHR Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - Charlotte Noakes
- Oxford NHS Regional Molecular Genetics Laboratory, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Kate Thomson
- Oxford NHS Regional Molecular Genetics Laboratory, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Ross Sadler
- Department of Clinical Laboratory Immunology, Churchill Hospital, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Shelley Segal
- Department of Paediatrics, Children's Hospital, Oxford University NHS Hospitals Trust, Oxford, UK
| | - Berne Ferry
- Department of Clinical Laboratory Immunology, Churchill Hospital, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Jenny C Taylor
- Oxford Biomedical Research Centre, Wellcome Trust Centre for Human Genetics, Oxford, UK
| | - Edward Blair
- Department of Clinical Genetics, Churchill Hospital, Oxford University NHS Hospitals Trust, Oxford, UK
| | - Helen Chapel
- Nuffield Department of Medicine, Experimental Medicine Division, University of Oxford, UK; Oxford NIHR Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - Smita Y Patel
- Nuffield Department of Medicine, Experimental Medicine Division, University of Oxford, UK; Oxford NIHR Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
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17
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van Schouwenburg PA, Davenport EE, Kienzler AK, Marwah I, Wright B, Lucas M, Malinauskas T, Martin HC, Lockstone HE, Cazier JB, Chapel HM, Knight JC, Patel SY. Application of whole genome and RNA sequencing to investigate the genomic landscape of common variable immunodeficiency disorders. Clin Immunol 2015; 160:301-14. [PMID: 26122175 PMCID: PMC4601528 DOI: 10.1016/j.clim.2015.05.020] [Citation(s) in RCA: 69] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2015] [Accepted: 05/20/2015] [Indexed: 12/11/2022]
Abstract
Common Variable Immunodeficiency Disorders (CVIDs) are the most prevalent cause of primary antibody failure. CVIDs are highly variable and a genetic causes have been identified in <5% of patients. Here, we performed whole genome sequencing (WGS) of 34 CVID patients (94% sporadic) and combined them with transcriptomic profiling (RNA-sequencing of B cells) from three patients and three healthy controls. We identified variants in CVID disease genes TNFRSF13B, TNFRSF13C, LRBA and NLRP12 and enrichment of variants in known and novel disease pathways. The pathways identified include B-cell receptor signalling, non-homologous end-joining, regulation of apoptosis, T cell regulation and ICOS signalling. Our data confirm the polygenic nature of CVID and suggest individual-specific aetiologies in many cases. Together our data show that WGS in combination with RNA-sequencing allows for a better understanding of CVIDs and the identification of novel disease associated pathways.
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Affiliation(s)
- Pauline A van Schouwenburg
- Nuffield Department of Medicine, University of Oxford, Oxford, UK; Oxford NIHR Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - Emma E Davenport
- Nuffield Department of Medicine, University of Oxford, Oxford, UK; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Anne-Kathrin Kienzler
- Nuffield Department of Medicine, University of Oxford, Oxford, UK; Oxford NIHR Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - Ishita Marwah
- Nuffield Department of Medicine, University of Oxford, Oxford, UK; Oxford NIHR Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - Benjamin Wright
- Nuffield Department of Medicine, University of Oxford, Oxford, UK; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Mary Lucas
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Tomas Malinauskas
- Cold Spring Harbor Laboratory, W. M. Keck Structural Biology Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Hilary C Martin
- Nuffield Department of Medicine, University of Oxford, Oxford, UK; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Helen E Lockstone
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Jean-Baptiste Cazier
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK; Centre for Computational Biology, University of Birmingham, Haworth Building, B15 2TT Edgbaston, UK
| | - Helen M Chapel
- Nuffield Department of Medicine, University of Oxford, Oxford, UK; Oxford NIHR Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - Julian C Knight
- Nuffield Department of Medicine, University of Oxford, Oxford, UK; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
| | - Smita Y Patel
- Nuffield Department of Medicine, University of Oxford, Oxford, UK; Oxford NIHR Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK.
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Taylor JC, Martin HC, Lise S, Broxholme J, Cazier JB, Rimmer A, Kanapin A, Lunter G, Fiddy S, Allan C, Aricescu AR, Attar M, Babbs C, Becq J, Beeson D, Bento C, Bignell P, Blair E, Buckle VJ, Bull K, Cais O, Cario H, Chapel H, Copley RR, Cornall R, Craft J, Dahan K, Davenport EE, Dendrou C, Devuyst O, Fenwick AL, Flint J, Fugger L, Gilbert RD, Goriely A, Green A, Greger IH, Grocock R, Gruszczyk AV, Hastings R, Hatton E, Higgs D, Hill A, Holmes C, Howard M, Hughes L, Humburg P, Johnson D, Karpe F, Kingsbury Z, Kini U, Knight JC, Krohn J, Lamble S, Langman C, Lonie L, Luck J, McCarthy D, McGowan SJ, McMullin MF, Miller KA, Murray L, Németh AH, Nesbit MA, Nutt D, Ormondroyd E, Oturai AB, Pagnamenta A, Patel SY, Percy M, Petousi N, Piazza P, Piret SE, Polanco-Echeverry G, Popitsch N, Powrie F, Pugh C, Quek L, Robbins PA, Robson K, Russo A, Sahgal N, van Schouwenburg PA, Schuh A, Silverman E, Simmons A, Sørensen PS, Sweeney E, Taylor J, Thakker RV, Tomlinson I, Trebes A, Twigg SR, Uhlig HH, Vyas P, Vyse T, Wall SA, Watkins H, Whyte MP, Witty L, Wright B, Yau C, Buck D, Humphray S, Ratcliffe PJ, Bell JI, Wilkie AO, Bentley D, Donnelly P, McVean G. Factors influencing success of clinical genome sequencing across a broad spectrum of disorders. Nat Genet 2015; 47:717-726. [PMID: 25985138 PMCID: PMC4601524 DOI: 10.1038/ng.3304] [Citation(s) in RCA: 263] [Impact Index Per Article: 29.2] [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: 07/08/2014] [Accepted: 04/22/2015] [Indexed: 12/12/2022]
Abstract
To assess factors influencing the success of whole-genome sequencing for mainstream clinical diagnosis, we sequenced 217 individuals from 156 independent cases or families across a broad spectrum of disorders in whom previous screening had identified no pathogenic variants. We quantified the number of candidate variants identified using different strategies for variant calling, filtering, annotation and prioritization. We found that jointly calling variants across samples, filtering against both local and external databases, deploying multiple annotation tools and using familial transmission above biological plausibility contributed to accuracy. Overall, we identified disease-causing variants in 21% of cases, with the proportion increasing to 34% (23/68) for mendelian disorders and 57% (8/14) in family trios. We also discovered 32 potentially clinically actionable variants in 18 genes unrelated to the referral disorder, although only 4 were ultimately considered reportable. Our results demonstrate the value of genome sequencing for routine clinical diagnosis but also highlight many outstanding challenges.
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Affiliation(s)
- Jenny C Taylor
- NIHR Comprehensive Biomedical Research Centre, Oxford, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Hilary C Martin
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Stefano Lise
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - John Broxholme
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - Andy Rimmer
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Alexander Kanapin
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Gerton Lunter
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Simon Fiddy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Chris Allan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - A Radu Aricescu
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Moustafa Attar
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Christian Babbs
- MRC Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | | | - David Beeson
- Neurosciences Group, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Celeste Bento
- Hematology Department, Centro Hospitalar e Universitário de Coimbra, Portugal
| | - Patricia Bignell
- Molecular Haematology Department, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Edward Blair
- Department of Clinical Genetics, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Veronica J Buckle
- MRC Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Katherine Bull
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Centre for Cellular and Molecular Physiology, University of Oxford, Oxford, UK
| | - Ondrej Cais
- Neurobiology Division, MRC Laboratory of Molecular Biology, Cambridge, UK
| | - Holger Cario
- Department of Pediatrics and Adolescent Medicine, University Medical Center, Ulm, Germany
| | - Helen Chapel
- Primary Immunodeficiency Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Richard R Copley
- NIHR Comprehensive Biomedical Research Centre, Oxford, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Richard Cornall
- Centre for Cellular and Molecular Physiology, University of Oxford, Oxford, UK
| | - Jude Craft
- NIHR Comprehensive Biomedical Research Centre, Oxford, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Karin Dahan
- Centre de Génétique Humaine, Institut de Génétique et de Pathologie, Gosselies, Belgium
- Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Emma E Davenport
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Calliope Dendrou
- MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Olivier Devuyst
- Institute of Physiology, Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| | - Aimée L Fenwick
- Clinical Genetics Group, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Jonathan Flint
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Lars Fugger
- MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Rodney D Gilbert
- University Hospital Southampton NHS Foundation Trust, University of Southampton, Southampton, UK
| | - Anne Goriely
- Clinical Genetics Group, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Angie Green
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Ingo H Greger
- Neurobiology Division, MRC Laboratory of Molecular Biology, Cambridge, UK
| | | | - Anja V Gruszczyk
- Clinical Genetics Group, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Robert Hastings
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Edouard Hatton
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Doug Higgs
- MRC Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Adrian Hill
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- The Jenner Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Chris Holmes
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Department of Statistics, University of Oxford, Oxford, UK
| | - Malcolm Howard
- NIHR Comprehensive Biomedical Research Centre, Oxford, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Linda Hughes
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Peter Humburg
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - David Johnson
- Craniofacial Unit, Department of Plastic and Reconstructive Surgery, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Fredrik Karpe
- Oxford Laboratory for Integrative Physiology, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, UK
| | | | - Usha Kini
- Department of Clinical Genetics, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Julian C Knight
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Jonathan Krohn
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Sarah Lamble
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Craig Langman
- Kidney Diseases, Feinberg School of Medicine, Northwestern University and the Ann and Robert H Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
| | - Lorne Lonie
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Joshua Luck
- Clinical Genetics Group, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Davis McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Simon J McGowan
- Clinical Genetics Group, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | | | - Kerry A Miller
- Clinical Genetics Group, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Lisa Murray
- Illumina Cambridge Limited, Saffron Walden, UK
| | - Andrea H Németh
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - M Andrew Nesbit
- Academic Endocrine Unit, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, UK
| | - David Nutt
- Centre for Neuropsychopharmacology, Division of Brain Sciences, Imperial College, London, UK
| | - Elizabeth Ormondroyd
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Annette Bang Oturai
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital, Copenhagen, Denmark
| | - Alistair Pagnamenta
- NIHR Comprehensive Biomedical Research Centre, Oxford, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Smita Y Patel
- Primary Immunodeficiency Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Melanie Percy
- Department of Haematology, Belfast City Hospital, Belfast, UK
| | - Nayia Petousi
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Paolo Piazza
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Sian E Piret
- Academic Endocrine Unit, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, UK
| | | | - Niko Popitsch
- NIHR Comprehensive Biomedical Research Centre, Oxford, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Fiona Powrie
- Translational Gastroenterology Unit, University of Oxford, Oxford, UK
| | - Chris Pugh
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Lynn Quek
- MRC Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Peter A Robbins
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Kathryn Robson
- MRC Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Alexandra Russo
- Department of Pediatrics, University Hospital, Mainz, Germany
| | - Natasha Sahgal
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - Anna Schuh
- NIHR Comprehensive Biomedical Research Centre, Oxford, UK
- Department of Oncology, University of Oxford, Oxford, UK
| | - Earl Silverman
- Division of Rheumatology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Alison Simmons
- MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- Translational Gastroenterology Unit, University of Oxford, Oxford, UK
| | - Per Soelberg Sørensen
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital, Copenhagen, Denmark
| | - Elizabeth Sweeney
- Department of Clinical Genetics, Liverpool Women's NHS Foundation Trust, Liverpool, UK
| | - John Taylor
- NIHR Comprehensive Biomedical Research Centre, Oxford, UK
- Oxford NHS Regional Molecular Genetics Laboratory, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Rajesh V Thakker
- Academic Endocrine Unit, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, UK
| | - Ian Tomlinson
- NIHR Comprehensive Biomedical Research Centre, Oxford, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Amy Trebes
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Stephen Rf Twigg
- Clinical Genetics Group, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Holm H Uhlig
- Translational Gastroenterology Unit, University of Oxford, Oxford, UK
| | - Paresh Vyas
- MRC Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Tim Vyse
- Division of Genetics, King's College London, Guy's Hospital, London, UK
| | - Steven A Wall
- Craniofacial Unit, Department of Plastic and Reconstructive Surgery, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Hugh Watkins
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Michael P Whyte
- Center for Metabolic Bone Disease and Molecular Research, Shriners Hospital for Children, St Louis, Missouri, USA
| | - Lorna Witty
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Ben Wright
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Chris Yau
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - David Buck
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | | | - John I Bell
- Office of the Regius Professor of Medicine, University of Oxford, Oxford, UK
| | - Andrew Om Wilkie
- Clinical Genetics Group, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | | | - Peter Donnelly
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Department of Statistics, University of Oxford, Oxford, UK
| | - Gilean McVean
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
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van Schouwenburg PA, Kruithof S, Votsmeier C, van Schie K, Hart MH, de Jong RN, van Buren EEL, van Ham M, Aarden L, Wolbink G, Wouters D, Rispens T. Functional analysis of the anti-adalimumab response using patient-derived monoclonal antibodies. J Biol Chem 2014; 289:34482-8. [PMID: 25326381 DOI: 10.1074/jbc.m114.615500] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
The production of antibodies to adalimumab in autoimmune patients treated with adalimumab is shown to diminish treatment efficacy. We previously showed that these antibodies are almost exclusively neutralizing, indicating a restricted response. Here, we investigated the characteristics of a panel of patient-derived monoclonal antibodies for binding to adalimumab. Single B-cells were isolated from two patients, cultured, and screened for adalimumab specificity. Analysis of variable region sequences of 16 clones suggests that the immune response against adalimumab is broad, involving multiple B-cell clones each using different combinations of V(D)J segments. A strong bias for replacement mutations in the complementarity determining regions was found, indicating an antigen-driven response. We recombinantly expressed 11 different monoclonal antibodies and investigated their affinity and specificity. All clones except one are of high affinity (Kd between 0.6 and 233 pm) and compete with TNF as well as each other for binding to adalimumab. However, binding to a panel of single-point mutants of adalimumab indicates markedly different fine specificities that also result in a differential tendency of each clone to form dimeric and multimeric immune complexes. We conclude that although all anti-adalimumab antibodies compete for binding to TNF, the response is clonally diverse and involves multiple epitopes on adalimumab. These results are important for understanding the relationship between self and non-self or idiotypic determinants on therapeutic antibodies and their potential immunogenicity.
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Affiliation(s)
- Pauline A van Schouwenburg
- From the Department of Immunopathology, Sanquin Research and Landsteiner Laboratory Academic Medical Centre, 1105 AZ Amsterdam, The Netherlands
| | - Simone Kruithof
- From the Department of Immunopathology, Sanquin Research and Landsteiner Laboratory Academic Medical Centre, 1105 AZ Amsterdam, The Netherlands
| | - Christian Votsmeier
- Global Drug Discovery, Global Biologics, Bayer HealthCare AG, 51061 Cologne, Germany, and
| | - Karin van Schie
- From the Department of Immunopathology, Sanquin Research and Landsteiner Laboratory Academic Medical Centre, 1105 AZ Amsterdam, The Netherlands
| | - Margreet H Hart
- From the Department of Immunopathology, Sanquin Research and Landsteiner Laboratory Academic Medical Centre, 1105 AZ Amsterdam, The Netherlands
| | | | | | - Marieke van Ham
- From the Department of Immunopathology, Sanquin Research and Landsteiner Laboratory Academic Medical Centre, 1105 AZ Amsterdam, The Netherlands
| | - Lucien Aarden
- From the Department of Immunopathology, Sanquin Research and Landsteiner Laboratory Academic Medical Centre, 1105 AZ Amsterdam, The Netherlands
| | - Gertjan Wolbink
- From the Department of Immunopathology, Sanquin Research and Landsteiner Laboratory Academic Medical Centre, 1105 AZ Amsterdam, The Netherlands, the Jan van Breemen Research Institute/Reade, 1056 AB Amsterdam, The Netherlands
| | - Diana Wouters
- From the Department of Immunopathology, Sanquin Research and Landsteiner Laboratory Academic Medical Centre, 1105 AZ Amsterdam, The Netherlands
| | - Theo Rispens
- From the Department of Immunopathology, Sanquin Research and Landsteiner Laboratory Academic Medical Centre, 1105 AZ Amsterdam, The Netherlands,
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Rispens T, Heer POD, Derksen NI, Wolbink G, van Schouwenburg PA, Kruithof S, Aalberse RC. Nanomolar to sub-picomolar affinity measurements of antibody–antigen interactions and protein multimerizations: Fluorescence-assisted high-performance liquid chromatography. Anal Biochem 2013; 437:118-22. [DOI: 10.1016/j.ab.2013.02.027] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2013] [Revised: 02/24/2013] [Accepted: 02/26/2013] [Indexed: 01/01/2023]
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van Schouwenburg PA, Krieckaert CL, Rispens T, Aarden L, Wolbink GJ, Wouters D. Long-term measurement of anti-adalimumab using pH-shift-anti-idiotype antigen binding test shows predictive value and transient antibody formation. Ann Rheum Dis 2013; 72:1680-6. [PMID: 23300118 DOI: 10.1136/annrheumdis-2012-202407] [Citation(s) in RCA: 71] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BACKGROUND AND OBJECTIVES Therapeutic monoclonal antibodies are effective drugs for many different diseases. However, the formation of anti-drug antibodies (ADA) against a biological can result in reduced clinical response in some patients. Measurement of ADA in the presence of (high) drug levels is difficult due to drug interference in most assays, including the commonly used antigen binding test (ABT). METHODS We recently published a novel method which enables the measurement of complexed antibodies against adalimumab (an anti-TNF antibody) in the presence of drug. Here we use this pH-shift-anti-idiotype ABT (PIA) to measure anti-adalimumab antibodies (AAA) in 99 rheumatoid arthritis (RA) patients treated for up to 3 years with adalimumab. RESULTS 53 out of 99 RA patients produced AAA. In 50 of these PIA positive patients, AAA could be detected within the first 28 weeks of treatment. Patients in which AAA could be detected in the PIA after 28 weeks of treatment were more prone to declining adalimumab levels (<5 µg/ml) (p<0.01) and high AAA levels which could be detected in the ABT (p<0.05) at later time points. We observed transient AAA formation in 17/53 patients. CONCLUSIONS Results show that AAA develop early in treatment. However, levels that completely neutralise the drug may be reached much later in treatment. Furthermore, the patients positive for PIA at 28 weeks have an increased chance to develop clinical non-response due to immunogenicity. In some of the patients, AAA formation is transient.
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Affiliation(s)
- Pauline A van Schouwenburg
- Department of Immunopathology, Sanquin Research and Landsteiner Laboratory Academic Medical Centre, Amsterdam, The Netherlands
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van de Stadt LA, van Schouwenburg PA, Bryde S, Kruithof S, van Schaardenburg D, Hamann D, Wolbink G, Rispens T. Monoclonal anti-citrullinated protein antibodies selected on citrullinated fibrinogen have distinct targets with different cross-reactivity patterns. Rheumatology (Oxford) 2012; 52:631-5. [PMID: 23264551 DOI: 10.1093/rheumatology/kes371] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVE ACPAs are thought to play a pathogenic role in RA. Because of their polyclonal nature it is difficult to study characteristics of ACPAs such as cross-reactivity or affinity. This study aimed to analyse the ACPA response at clonal level. METHODS Citrullinated fibrinogen-specific B cells were isolated from blood derived from an RA patient by fluorescent automated cell sorting (FACS). Antigen specificity was verified by ELISA of culture supernatant. RNA of antigen-specific B cells was isolated and VH and VL chains were cloned and subsequently expressed as IgG1 antibodies. RESULTS Two human recombinant antibodies were obtained that bind to citrullinated fibrinogen peptide (cFib). Both monoclonal antibodies originate from different naive B cells, undergo extensive somatic hypermutation and bind to cFib (but not to Fib) with moderate avidity. Furthermore, they show distinct cross-reactivity patterns towards other citrullinated peptides, suggesting that both antibodies have different primary targets. CONCLUSION Together these data suggest that ACPAs are formed by antigen-driven maturation, and that multiple citrullinated antigens are involved in activating the B-cell response.
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Affiliation(s)
- Lotte A van de Stadt
- Sanquin Research and Landsteiner Laboratorium, Academic Medical Center, Amsterdam, The Netherlands
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van Schouwenburg PA, van de Stadt LA, de Jong RN, van Buren EEL, Kruithof S, de Groot E, Hart M, van Ham SM, Rispens T, Aarden L, Wolbink GJ, Wouters D. Adalimumab elicits a restricted anti-idiotypic antibody response in autoimmune patients resulting in functional neutralisation. Ann Rheum Dis 2012; 72:104-9. [PMID: 22759910 DOI: 10.1136/annrheumdis-2012-201445] [Citation(s) in RCA: 146] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
OBJECTIVES Millions of patients worldwide are treated with therapeutic monoclonal antibodies. These biological therapeutics can be immunogenic, resulting in anti-drug antibody formation which leads to loss of response. Fully human biological agents, such as the anti-tumour necrosis factor α (anti-TNFα) antibody adalimumab, are considered to be weakly immunogenic, but anti-adalimumab antibodies (AAA) were recently detected in more than half of treated patients with rheumatoid arthritis (RA) within 28 weeks of treatment. A study was undertaken to determine the mechanism by which AAA lead to loss of response. METHODS The specificity of the repertoire of AAA was investigated in a cohort of 50 AAA-positive RA patients. Inhibition experiments using TNFα and patient-derived anti-adalimumab monoclonal antibodies were performed. RESULTS The antibody response against adalimumab is highly restricted: Fab fragments of a single monoclonal antibody specific for the idiotype of adalimumab inhibited 98.65% (25th-75th percentiles: 98.25-99.90) of the total anti-adalimumab reactivity in serum from 50 AAA-positive patients. The anti-adalimumab response was confined to the TNFα binding region of adalimumab, thereby neutralising its therapeutic efficacy. In line with this restricted specificity, small immune complexes were found in the circulation of AAA-forming patients. CONCLUSIONS The humoral immune response against adalimumab is highly restricted and limited to the idiotype of the therapeutic antibody. All antibodies result in functional neutralisation of the drug, thereby providing a mechanism by which AAA formation leads to clinical non-response.
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Affiliation(s)
- Pauline A van Schouwenburg
- Department of Immunopathology, Sanquin Research and Landsteiner Laboratory, Academic Medical Centre, Amsterdam, The Netherlands.
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Bartelds GM, Krieckaert CLM, Nurmohamed MT, van Schouwenburg PA, Lems WF, Twisk JWR, Dijkmans BAC, Aarden L, Wolbink GJ. Development of antidrug antibodies against adalimumab and association with disease activity and treatment failure during long-term follow-up. JAMA 2011; 305:1460-8. [PMID: 21486979 DOI: 10.1001/jama.2011.406] [Citation(s) in RCA: 560] [Impact Index Per Article: 43.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
CONTEXT Short-term data on the immunogenicity of monoclonal antibodies showed associations between the development of antidrug antibodies and diminished serum drug levels, and a diminished treatment response. Little is known about the clinical relevance of antidrug antibodies against these drugs during long-term follow-up. OBJECTIVE To examine the course of antidrug antibody formation against fully human monoclonal antibody adalimumab and its clinical relevance during long-term (3-year) follow-up of patients with rheumatoid arthritis (RA). DESIGN, SETTING, AND PATIENTS Prospective cohort study February 2004-September 2008; end of follow-up was September 2010. All 272 patients were diagnosed with RA and started treatment with adalimumab in an outpatient clinic. MAIN OUTCOME MEASURES Disease activity was monitored and trough serum samples were obtained at baseline and 8 time points to 156 weeks. Serum adalimumab concentrations and antiadalimumab antibody titers were determined after follow-up. Treatment discontinuation, minimal disease activity, and clinical remission were compared for patients with and without antiadalimumab antibodies. RESULTS After 3 years, 76 of 272 patients (28%) developed antiadalimumab antibodies--51 of these (67%) during the first 28 weeks of treatment. Patients without antiadalimumab antibodies had much higher adalimumab concentrations (median, 12 mg/L; IQR, 9-16 mg/L) compared with patients with antibody titers from 13 to 100 AU/mL (median, 5 mg/L; IQR, 3-9 mg/L; regression coefficient, -4.5; 95% CI, -6.0 to -2.9; P < .001) and also those greater than 100 AU/mL (median, 0 mg/L; IQR, 0-3 mg/L; regression coefficient, -7.1; 95% CI, -8.4 to -5.8; P < .001). Patients with antiadalimumab antibodies more often discontinued participation due to treatment failure (n = 29 [38%]; hazard ratio [HR], 3.0; 95% CI, 1.6-5.5; P < .001) compared with antiadalimumab antibody-negative ones (n = 28 [14%]). Ninety-five of 196 patients (48%) without antiadalimumab antibodies had minimal disease activity vs 10 of 76 patients (13%) with antiadalimumab antibodies; patients with antiadalimumab antibodies less often had sustained minimal disease activity score in 28 joints (DAS28) (< 3.2; HR, 3.6; 95% CI, 1.8-7.2; P < .001) compared with antiadalimumab antibody-negative ones. Three of 76 patients (4%) with antiadalimumab antibodies achieved sustained remission compared with 67 of 196 (34%) antiadalimumab antibody-negative ones; patients with antiadalimumab antibodies less often achieved remission (DAS28 < 2.6; HR, 7.1; 95% CI, 2.1-23.4; P < .001) compared with antiadalimumab antibody-negative ones. CONCLUSION Among outpatients with RA in whom adalimumab was started over 3 years, the development of antidrug antibodies was associated with lower adalimumab concentration and lower likelihood of minimal disease activity or clinical remission.
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Jamnitski A, Bartelds GM, Nurmohamed MT, van Schouwenburg PA, van Schaardenburg D, Stapel SO, Dijkmans BAC, Aarden L, Wolbink GJ. The presence or absence of antibodies to infliximab or adalimumab determines the outcome of switching to etanercept. Ann Rheum Dis 2010; 70:284-8. [PMID: 21068090 DOI: 10.1136/ard.2010.135111] [Citation(s) in RCA: 138] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
OBJECTIVE The aim of this study was to test the hypothesis that the reason for non-response (caused by immunogenicity or not) to a first tumour necrosis factor (TNF) inhibitor defines whether a second TNF inhibitor will be effective. METHODS This cohort study consisted of 292 consecutive patients with rheumatoid arthritis (RA), all treated with etanercept. A total of 89 patients (30%) were treated previously with infliximab or adalimumab ('switchers'), and the remaining 203 (70%) were anti-TNF naive. All switchers were divided into two groups: with and without antibodies against the previous biological. Differences in clinical response to etanercept between switchers with and without antibodies and patients who were anti-TNF naive were assessed after 28 weeks of treatment using changes in Disease Activity Score in 28 joints (DAS28). RESULTS After 28 weeks of treatment, response to etanercept did not differ between patients who were anti-TNF naive and switchers with anti-drug antibodies (ΔDAS28=2.1 ± 1.3 vs ΔDAS28=2.0 ± 1.3; p = 0.743). In contrast, switchers without anti-drug antibodies had a diminished response to etanercept treatment compared to patients who were TNF naive (ΔDAS28 =1.2±1.3 vs ΔDAS28 = 2.1 ± 1.3; p = 0.001) and switchers with antibodies (ΔDAS28 =1.2±1.3 vs ΔDAS28 = 2.0 ± 1.3; p = 0.017). CONCLUSION Patients with RA with an immunogenic response against a first TNF-blocking agent had a better clinical response to a subsequent TNF blocker compared to patients with RA without anti-drug antibodies. Hence, determining immunogenicity can be helpful in deciding in which patient switching could be beneficial and can be part of a personalised treatment regimen.
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van Schouwenburg PA, Bartelds GM, Hart MH, Aarden L, Wolbink GJ, Wouters D. A novel method for the detection of antibodies to adalimumab in the presence of drug reveals "hidden" immunogenicity in rheumatoid arthritis patients. J Immunol Methods 2010; 362:82-8. [PMID: 20833178 DOI: 10.1016/j.jim.2010.09.005] [Citation(s) in RCA: 129] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2010] [Revised: 08/24/2010] [Accepted: 09/01/2010] [Indexed: 02/02/2023]
Abstract
Production of anti drug antibodies (ADA) in adalimumab treated RA patients is associated with reduced serum adalimumab levels and less clinical response. However, most current assays to measure ADA are unable to detect ADA in complex with adalimumab. Thus, ADA is only measured if antibody production exceeds drug levels in the serum, meaning that ADA formation is underestimated. The aim of this study is to develop a method to detect ADA in the presence of drug. A pH-shift-anti-idiotype Antigen binding test (PIA) was used to enable ADA measurement in the presence of adalimumab. ADA-adalimumab complexes were dissociated by acid treatment and addition of excess rabbit anti-idiotype-F(ab) before neutralization. Rabbit anti-idiotype-F(ab) blocks reformation of ADA-drug complexes by competing with patient ADA for adalimumab binding. Released ADA are measured by an antigen binding test (ABT). The PIA enabled detection of ADA in the presence of large excess of adalimumab and was used to measure ADA in 30 adalimumab treated rheumatoid arthritis (RA) patients during the first 28 weeks of treatment. It revealed ADA in 21 out of 30 tested patients, while the ABT detected ADA in only 5 patients. Indicating that an immunogenic reaction towards adalimumab is present in the majority of adalimumab treated patients.
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Affiliation(s)
- Pauline A van Schouwenburg
- Department of Immunopathology, Sanquin Research and Landsteiner Laboratory Academic Medical Centre, Amsterdam, The Netherlands.
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