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Piacentini L, Vavassori C, Werba PJ, Saccu C, Spirito R, Colombo GI. Deciphering Abdominal Aortic Diseases Through T-Cell Clonal Repertoire of Perivascular Adipose Tissue. J Am Heart Assoc 2024; 13:e034096. [PMID: 38888318 PMCID: PMC11255777 DOI: 10.1161/jaha.123.034096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 04/17/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND Recent studies suggest that immune-mediated inflammation of perivascular adipose tissue of abdominal aortic aneurysms (AAAs) contributes to disease development and progression. Whether the perivascular adipose tissue of AAA is characterized by a specific adaptive immune signature remains unknown. METHODS AND RESULTS To investigate this hypothesis, we sequenced the T-cell receptor β-chain in the perivascular adipose tissue of patients with AAA and compared it with patients with aortic occlusive disease, who share the former anatomical site of the lesion and risk factors but differ in pathogenic mechanisms. Our results demonstrate that patients with AAA have a lower repertoire diversity than those with aortic occlusive disease and significant differences in variable/joining gene segment usage. Furthermore, we identified a set of 7 public T-cell receptor β-chain clonotypes that distinguished AAA and aortic occlusive disease with very high accuracy. We also found that the T-cell receptor β-chain repertoire differentially characterizes small and large AAAs (aortic diameter<55 mm and ≥55 mm, respectively). CONCLUSIONS This work supports the hypothesis that T cell-mediated immunity is fundamental in AAA pathogenesis and opens up new clinical perspectives.
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MESH Headings
- Humans
- Aortic Aneurysm, Abdominal/immunology
- Aortic Aneurysm, Abdominal/genetics
- Aortic Aneurysm, Abdominal/pathology
- Male
- Aged
- Female
- T-Lymphocytes/immunology
- Adipose Tissue/pathology
- Adipose Tissue/immunology
- Receptors, Antigen, T-Cell, alpha-beta/genetics
- Receptors, Antigen, T-Cell, alpha-beta/immunology
- Middle Aged
- Aorta, Abdominal/pathology
- Aorta, Abdominal/immunology
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Affiliation(s)
- Luca Piacentini
- Bioinformatics and Artificial Intelligence Unit, Centro Cardiologico MonzinoIRCCSMilanItaly
- Immunology and Functional Genomics Unit, Centro Cardiologico MonzinoIRCCSMilanItaly
| | - Chiara Vavassori
- Immunology and Functional Genomics Unit, Centro Cardiologico MonzinoIRCCSMilanItaly
| | - Pablo J. Werba
- Atherosclerosis Prevention Unit, Centro Cardiologico MonzinoIRCCSMilanItaly
| | - Claudio Saccu
- Department of Cardiovascular Surgery of the University of Milan, Centro Cardiologico MonzinoIRCCSMilanItaly
| | - Rita Spirito
- Department of Cardiovascular Surgery of the University of Milan, Centro Cardiologico MonzinoIRCCSMilanItaly
| | - Gualtiero I. Colombo
- Immunology and Functional Genomics Unit, Centro Cardiologico MonzinoIRCCSMilanItaly
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Stankiewicz LN, Rossi FMV, Zandstra PW. Rebuilding and rebooting immunity with stem cells. Cell Stem Cell 2024; 31:597-616. [PMID: 38593798 DOI: 10.1016/j.stem.2024.03.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 03/08/2024] [Accepted: 03/15/2024] [Indexed: 04/11/2024]
Abstract
Advances in modern medicine have enabled a rapid increase in lifespan and, consequently, have highlighted the immune system as a key driver of age-related disease. Immune regeneration therapies present exciting strategies to address age-related diseases by rebooting the host's primary lymphoid tissues or rebuilding the immune system directly via biomaterials or artificial tissue. Here, we identify important, unanswered questions regarding the safety and feasibility of these therapies. Further, we identify key design parameters that should be primary considerations guiding technology design, including timing of application, interaction with the host immune system, and functional characterization of the target patient population.
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Affiliation(s)
- Laura N Stankiewicz
- School of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.
| | - Fabio M V Rossi
- School of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.
| | - Peter W Zandstra
- School of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 1Z3, Canada; Michael Smith Laboratories, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.
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3
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Textor J, Buytenhuijs F, Rogers D, Gauthier ÈM, Sultan S, Wortel IMN, Kalies K, Fähnrich A, Pagel R, Melichar HJ, Westermann J, Mandl JN. Machine learning analysis of the T cell receptor repertoire identifies sequence features of self-reactivity. Cell Syst 2023; 14:1059-1073.e5. [PMID: 38061355 DOI: 10.1016/j.cels.2023.11.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 09/01/2023] [Accepted: 11/09/2023] [Indexed: 12/23/2023]
Abstract
The T cell receptor (TCR) determines specificity and affinity for both foreign and self-peptides presented by the major histocompatibility complex (MHC). Although the strength of TCR interactions with self-pMHC impacts T cell function, it has been challenging to identify TCR sequence features that predict T cell fate. To discern patterns distinguishing TCRs from naive CD4+ T cells with low versus high self-reactivity, we used data from 42 mice to train a machine learning (ML) algorithm that identifies population-level differences between TCRβ sequence sets. This approach revealed that weakly self-reactive T cell populations were enriched for longer CDR3β regions and acidic amino acids. We tested our ML predictions of self-reactivity using retrogenic mice with fixed TCRβ sequences. Extrapolating our analyses to independent datasets, we predicted high self-reactivity for regulatory T cells and slightly reduced self-reactivity for T cells responding to chronic infections. Our analyses suggest a potential trade-off between TCR repertoire diversity and self-reactivity. A record of this paper's transparent peer review process is included in the supplemental information.
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Affiliation(s)
- Johannes Textor
- Data Science Group, Institute for Computing and Information Sciences, Radboud University, Nijmegen 6525 EC, the Netherlands; Medical BioSciences, Radboudumc, Nijmegen 6525 GA, the Netherlands.
| | - Franka Buytenhuijs
- Data Science Group, Institute for Computing and Information Sciences, Radboud University, Nijmegen 6525 EC, the Netherlands
| | - Dakota Rogers
- Department of Physiology, McGill University, Montreal, QC H3G 0B1, Canada; McGill Research Centre on Complex Traits, McGill University, Montreal, QC H3G 0B1, Canada
| | - Ève Mallet Gauthier
- Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Center, Montreal, QC H1T 2M4, Canada; Department of Microbiology, Infectious Diseases, and Immunology, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Shabaz Sultan
- Data Science Group, Institute for Computing and Information Sciences, Radboud University, Nijmegen 6525 EC, the Netherlands; Medical BioSciences, Radboudumc, Nijmegen 6525 GA, the Netherlands
| | - Inge M N Wortel
- Data Science Group, Institute for Computing and Information Sciences, Radboud University, Nijmegen 6525 EC, the Netherlands; Medical BioSciences, Radboudumc, Nijmegen 6525 GA, the Netherlands
| | - Kathrin Kalies
- Institut für Anatomie, Universität zu Lübeck, 23562 Lübeck, Germany
| | - Anke Fähnrich
- Institut für Anatomie, Universität zu Lübeck, 23562 Lübeck, Germany
| | - René Pagel
- Institut für Anatomie, Universität zu Lübeck, 23562 Lübeck, Germany
| | - Heather J Melichar
- Immunology-Oncology Unit, Maisonneuve-Rosemont Hospital Research Center, Montreal, QC H1T 2M4, Canada; Department of Medicine, Université de Montréal, Montréal, QC H1T 2M4, Canada; Department of Microbiology & Immunology, McGill University, Montreal, QC H3A 1A3, Canada; Rosalind and Morris Goodman Cancer Institute, McGill University, Montreal, QC H3A 1A3, Canada
| | | | - Judith N Mandl
- Department of Physiology, McGill University, Montreal, QC H3G 0B1, Canada; Department of Microbiology & Immunology, McGill University, Montreal, QC H3A 1A3, Canada; McGill Research Centre on Complex Traits, McGill University, Montreal, QC H3G 0B1, Canada.
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4
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Ritacco C, Köse MC, Courtois J, Canti L, Beguin C, Dubois S, Vandenhove B, Servais S, Caers J, Beguin Y, Ehx G, Baron F. Post-transplant cyclophosphamide prevents xenogeneic graft-versus-host disease while depleting proliferating regulatory T cells. iScience 2023; 26:106085. [PMID: 36843851 PMCID: PMC9947306 DOI: 10.1016/j.isci.2023.106085] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 12/12/2022] [Accepted: 01/25/2023] [Indexed: 02/02/2023] Open
Abstract
Graft-versus-host disease (GVHD) remains a serious limitation of allogeneic hematopoietic cell transplantation (allo-HCT). While post-transplant administration of cyclophosphamide (PTCy) is increasingly used as GVHD prophylaxis, its precise mechanisms of action and its impact on graft-versus-leukemia effects have remained debated. Here, we studied the mechanisms of xenogeneic GVHD (xGVHD) prevention by PTCy in different humanized mouse models. We observed that PTCy attenuated xGVHD. Using flow cytometry and single-cell RNA-sequencing, we demonstrated that PTCy depleted proliferative CD8+ and conventional CD4+ T cells but also proliferative regulatory T cells (Treg). Further, T-cell receptor β variable region sequencing (TCRVB) analyses demonstrated that highly xenoreactive T-cell clones were depleted by PTCy. Although Treg frequencies were significantly higher in PTCy-treated than in control mice on day 21, xGVHD attenuation by PTCy was not abrogated by Treg depletion. Finally, we observed that PTCy did not abrogate graft-versus-leukemia effects.
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Affiliation(s)
- Caroline Ritacco
- Hematology Research Unit, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA)-I³, University of Liège, Liège 4000, Belgium
| | - Murat Cem Köse
- Hematology Research Unit, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA)-I³, University of Liège, Liège 4000, Belgium
| | - Justine Courtois
- Hematology Research Unit, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA)-I³, University of Liège, Liège 4000, Belgium
| | - Lorenzo Canti
- Hematology Research Unit, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA)-I³, University of Liège, Liège 4000, Belgium
| | - Charline Beguin
- Hematology Research Unit, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA)-I³, University of Liège, Liège 4000, Belgium
| | - Sophie Dubois
- Hematology Research Unit, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA)-I³, University of Liège, Liège 4000, Belgium
| | - Benoît Vandenhove
- Hematology Research Unit, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA)-I³, University of Liège, Liège 4000, Belgium
| | - Sophie Servais
- Hematology Research Unit, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA)-I³, University of Liège, Liège 4000, Belgium,Department of Medicine, Division of Hematology, CHU of Liège, Liège 4000, Belgium
| | - Jo Caers
- Hematology Research Unit, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA)-I³, University of Liège, Liège 4000, Belgium,Department of Medicine, Division of Hematology, CHU of Liège, Liège 4000, Belgium
| | - Yves Beguin
- Hematology Research Unit, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA)-I³, University of Liège, Liège 4000, Belgium,Department of Medicine, Division of Hematology, CHU of Liège, Liège 4000, Belgium
| | - Grégory Ehx
- Hematology Research Unit, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA)-I³, University of Liège, Liège 4000, Belgium,Corresponding author
| | - Frédéric Baron
- Hematology Research Unit, Groupe Interdisciplinaire de Génoprotéomique Appliquée (GIGA)-I³, University of Liège, Liège 4000, Belgium,Department of Medicine, Division of Hematology, CHU of Liège, Liège 4000, Belgium,Corresponding author
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