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Corcoran MM, Karlsson Hedestam GB. Adaptive immune receptor germline gene variation. Curr Opin Immunol 2024; 87:102429. [PMID: 38805851 DOI: 10.1016/j.coi.2024.102429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 04/30/2024] [Accepted: 05/09/2024] [Indexed: 05/30/2024]
Abstract
Recognition of antigens by T cell receptors (TCRs) and B cell receptors (BCRs) is a key step in lymphocyte activation. T and B cells mediate adaptive immune responses, which protect us against infections and provide immunological memory, and also, in some instances, drive pathogenic responses in autoimmune diseases. TCRs and BCRs are encoded within loci that are known to be genetically diverse. However, the extent and functional impact of this variation, both in humans and model animals used in immunological research, remain largely unknown. Experimental and genetic evidence has demonstrated that the complementarity determining regions 1 and 2 (HCDR1 and HCDR2), encoded by the variable (V) region of TCRs and BCRs, also often make critical contacts with the targeted antigen. Thus, knowledge about allelic variation in the genes encoding TCRs and BCRs is critically important for understanding adaptive immune responses in outbred populations and to define responder and non-responder phenotypes.
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Affiliation(s)
- Martin M Corcoran
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 17177 Stockholm, Sweden
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Goutakoli P, Papadaki G, Repa A, Avgoustidis N, Kalogiannaki E, Flouri I, Bertsias A, Zoidakis J, Samiotaki M, Bertsias G, Semitekolou M, Verginis P, Sidiropoulos P. A Peripheral Blood Signature of Increased Th1 and Myeloid Cells Combined with Serum Inflammatory Mediators Is Associated with Response to Abatacept in Rheumatoid Arthritis Patients. Cells 2023; 12:2808. [PMID: 38132128 PMCID: PMC10741898 DOI: 10.3390/cells12242808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 12/05/2023] [Accepted: 12/07/2023] [Indexed: 12/23/2023] Open
Abstract
Abatacept (CTLA4-Ig)-a monoclonal antibody which restricts T cell activation-is an effective treatment for rheumatoid arthritis (RA). Nevertheless, only 50% of RA patients attain clinical responses, while predictors of response are rather limited. Herein, we aimed to investigate for early biomarkers of response to abatacept, based on a detailed immunological profiling of peripheral blood (PB) cells and serum proteins. We applied flow cytometry and proteomics analysis on PB immune cells and serum respectively, of RA patients starting abatacept as the first biologic agent. After 6 months of treatment, 34.5% of patients attained response. At baseline, Th1 and FoxP3+ T cell populations were positively correlated with tender joint counts (p-value = 0.047 and p-value = 0.022, respectively). Upon treatment, CTLA4-Ig effectively reduced the percentages of Th1 and Th17 only in responders (p-value = 0.0277 and p-value = 0.0042, respectively). Notably, baseline levels of Th1 and myeloid cell populations were significantly increased in PB of responders compared to non-responders (p-value = 0.009 and p-value = 0.03, respectively). Proteomics analysis revealed that several inflammatory mediators were present in serum of responders before therapy initiation and strikingly 10 amongst 303 serum proteins were associated with clinical responses. Finally, a composite index based on selected baseline cellular and proteomics' analysis could predict response to abatacept with a high sensitivity (90%) and specificity (88.24%).
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Affiliation(s)
- Panagiota Goutakoli
- Laboratory of Rheumatology, Autoimmunity and Inflammation, Medical School, University of Crete, 71003 Heraklion, Greece
| | - Garyfalia Papadaki
- Laboratory of Rheumatology, Autoimmunity and Inflammation, Medical School, University of Crete, 71003 Heraklion, Greece
| | - Argyro Repa
- Rheumatology and Clinical Immunology, University Hospital of Heraklion, 71003 Heraklion, Greece; (A.R.); (N.A.); (I.F.)
| | - Nestor Avgoustidis
- Rheumatology and Clinical Immunology, University Hospital of Heraklion, 71003 Heraklion, Greece; (A.R.); (N.A.); (I.F.)
| | - Eleni Kalogiannaki
- Rheumatology and Clinical Immunology, University Hospital of Heraklion, 71003 Heraklion, Greece; (A.R.); (N.A.); (I.F.)
| | - Irini Flouri
- Rheumatology and Clinical Immunology, University Hospital of Heraklion, 71003 Heraklion, Greece; (A.R.); (N.A.); (I.F.)
| | - Antonios Bertsias
- Rheumatology and Clinical Immunology, University Hospital of Heraklion, 71003 Heraklion, Greece; (A.R.); (N.A.); (I.F.)
| | - Jerome Zoidakis
- Department of Biotechnology, Biomedical Research Foundation, Academy of Athens, 11527 Athens, Greece;
| | - Martina Samiotaki
- Protein Chemistry Facility, Biomedical Sciences Research Center “Alexander Fleming”, 16672 Athens, Greece;
| | - George Bertsias
- Laboratory of Rheumatology, Autoimmunity and Inflammation, Medical School, University of Crete, 71003 Heraklion, Greece
- Rheumatology and Clinical Immunology, University Hospital of Heraklion, 71003 Heraklion, Greece; (A.R.); (N.A.); (I.F.)
- Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology Hellas (FORTH), 70013 Heraklion, Greece
| | - Maria Semitekolou
- Laboratory of Rheumatology, Autoimmunity and Inflammation, Medical School, University of Crete, 71003 Heraklion, Greece
- Laboratory of Cellular Immunology Division of Basic Research, Biomedical Research Foundation of the Academy of Athens, 11527 Athens, Greece
| | - Panayotis Verginis
- Laboratory of Immune Regulation and Tolerance, Division of Basic Sciences, Medical School, University of Crete, 71003 Heraklion, Greece
| | - Prodromos Sidiropoulos
- Laboratory of Rheumatology, Autoimmunity and Inflammation, Medical School, University of Crete, 71003 Heraklion, Greece
- Rheumatology and Clinical Immunology, University Hospital of Heraklion, 71003 Heraklion, Greece; (A.R.); (N.A.); (I.F.)
- Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology Hellas (FORTH), 70013 Heraklion, Greece
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Dopico XC, Mandolesi M, Hedestam GBK. Untangling immunoglobulin genotype-function associations. Immunol Lett 2023:S0165-2478(23)00073-1. [PMID: 37209913 DOI: 10.1016/j.imlet.2023.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 04/19/2023] [Accepted: 05/12/2023] [Indexed: 05/22/2023]
Abstract
Immunoglobulin (IG) genes, encoding B cell receptors (BCRs), are fundamental components of the mammalian immune system, which evolved to recognize the diverse antigenic universe present in nature. To handle these myriad inputs, BCRs are generated through combinatorial recombination of a set of highly polymorphic germline genes, resulting in a vast repertoire of antigen receptors that initiate responses to pathogens and regulate commensals. Following antigen recognition and B cell activation, memory B cells and plasma cells form, allowing for the development of anamnestic antibody (Ab) responses. How inherited variation in IG genes impacts host traits, disease susceptibility, and Ab recall responses is a topic of great interest. Here, we consider approaches to translate emerging knowledge about IG genetic diversity and expressed repertoires to inform our understanding of Ab function in health and disease etiology. As our understanding of IG genetics grows, so will our need for tools to decipher preferences for IG gene or allele usage in different contexts, to better understand antibody responses at the population level.
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Affiliation(s)
- Xaquin Castro Dopico
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm 17177, Sweden.
| | - Marco Mandolesi
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm 17177, Sweden
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