101
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Hester AK, Semwal MK, Cepeda S, Xiao Y, Rueda M, Wimberly K, Venables T, Dileepan T, Kraig E, Griffith AV. Redox regulation of age-associated defects in generation and maintenance of T cell self-tolerance and immunity to foreign antigens. Cell Rep 2022; 38:110363. [PMID: 35172147 PMCID: PMC8898380 DOI: 10.1016/j.celrep.2022.110363] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 11/22/2021] [Accepted: 01/19/2022] [Indexed: 12/20/2022] Open
Abstract
Thymic atrophy reduces naive T cell production and contributes to increased susceptibility to viral infection with age. Expression of tissue-restricted antigen (TRA) genes also declines with age and has been thought to increase autoimmune disease susceptibility. We find that diminished expression of a model TRA gene in aged thymic stromal cells correlates with impaired clonal deletion of cognate T cells recognizing an autoantigen involved in atherosclerosis. Clonal deletion in the polyclonal thymocyte population is also perturbed. Distinct age-associated defects in the generation of antigen-specific T cells include a conspicuous decline in generation of T cells recognizing an immunodominant influenza epitope. Increased catalase activity delays thymic atrophy, and here, we show that it mitigates declining production of influenza-specific T cells and their frequency in lung after infection, but does not reverse declines in TRA expression or efficient negative selection. These results reveal important considerations for strategies to restore thymic function.
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Affiliation(s)
- Allison K Hester
- Department of Microbiology, Immunology and Molecular Genetics, University of Texas Long School of Medicine, UT Health San Antonio, San Antonio, TX 78229, USA
| | - Manpreet K Semwal
- Department of Microbiology, Immunology and Molecular Genetics, University of Texas Long School of Medicine, UT Health San Antonio, San Antonio, TX 78229, USA
| | - Sergio Cepeda
- Department of Microbiology, Immunology and Molecular Genetics, University of Texas Long School of Medicine, UT Health San Antonio, San Antonio, TX 78229, USA
| | - Yangming Xiao
- Department of Microbiology, Immunology and Molecular Genetics, University of Texas Long School of Medicine, UT Health San Antonio, San Antonio, TX 78229, USA
| | - Meghan Rueda
- Department of Microbiology, Immunology and Molecular Genetics, University of Texas Long School of Medicine, UT Health San Antonio, San Antonio, TX 78229, USA
| | - Kymberly Wimberly
- Department of Microbiology, Immunology and Molecular Genetics, University of Texas Long School of Medicine, UT Health San Antonio, San Antonio, TX 78229, USA
| | | | - Thamotharampillai Dileepan
- Center for Immunology, University of Minnesota Medical School, Minneapolis, MN 55455, USA; Department of Microbiology, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Ellen Kraig
- Department of Cell Systems and Anatomy, University of Texas Long School of Medicine, UT Health San Antonio, San Antonio, TX 78229, USA
| | - Ann V Griffith
- Department of Microbiology, Immunology and Molecular Genetics, University of Texas Long School of Medicine, UT Health San Antonio, San Antonio, TX 78229, USA.
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102
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Massey J, Jackson K, Singh M, Hughes B, Withers B, Ford C, Khoo M, Hendrawan K, Zaunders J, Charmeteau-De Muylder B, Cheynier R, Luciani F, Ma D, Moore J, Sutton I. Haematopoietic Stem Cell Transplantation Results in Extensive Remodelling of the Clonal T Cell Repertoire in Multiple Sclerosis. Front Immunol 2022; 13:798300. [PMID: 35197974 PMCID: PMC8859174 DOI: 10.3389/fimmu.2022.798300] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 01/13/2022] [Indexed: 12/29/2022] Open
Abstract
Autologous haematopoietic stem cell transplantation (AHSCT) is a vital therapeutic option for patients with highly active multiple sclerosis (MS). Rates of remission suggest AHSCT is the most effective form of immunotherapy in controlling the disease. Despite an evolving understanding of the biology of immune reconstitution following AHSCT, the mechanism by which AHSCT enables sustained disease remission beyond the period of lymphopenia remains to be elucidated. Auto-reactive T cells are considered central to MS pathogenesis. Here, we analyse T cell reconstitution for 36 months following AHSCT in a cohort of highly active MS patients. Through longitudinal analysis of sorted naïve and memory T cell clones, we establish that AHSCT induces profound changes in the dominant T cell landscape of both CD4+ and CD8+ memory T cell clones. Lymphopenia induced homeostatic proliferation is followed by clonal attrition; with only 19% of dominant CD4 (p <0.025) and 13% of dominant CD8 (p <0.005) clones from the pre-transplant repertoire detected at 36 months. Recovery of a thymically-derived CD4 naïve T cell repertoire occurs at 12 months and is ongoing at 36 months, however diversity of the naïve populations is not increased from baseline suggesting the principal mechanism of durable remission from MS after AHSCT relates to depletion of putative auto-reactive clones. In a cohort of MS patients expressing the MS risk allele HLA DRB1*15:01, public clones are probed as potential biomarkers of disease. AHSCT appears to induce sustained periods of disease remission with dynamic changes in the clonal T cell repertoire out to 36 months post-transplant.
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Affiliation(s)
- Jennifer Massey
- Department of Haematology, St Vincent’s Hospital, Darlinghurst, NSW, Australia
- Department of Neurology, St Vincent’s Hospital, Darlinghurst, NSW, Australia
- Blood Stem Cell and Cancer Research Group, St Vincent’s Centre for Applied Medical Research, Darlinghurst, NSW, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, University of New South Wales (UNSW), Darlinghurst, NSW, Australia
- *Correspondence: Jennifer Massey,
| | - Katherine Jackson
- Immunogenomics Lab, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Mandeep Singh
- St. Vincent’s Clinical School, Faculty of Medicine, University of New South Wales (UNSW), Darlinghurst, NSW, Australia
- Immunogenomics Lab, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Brendan Hughes
- School of Medical Sciences and Kirby Institute for Infection and Immunity, University of New South Wales (UNSW), Kensington, NSW, Australia
| | - Barbara Withers
- Department of Haematology, St Vincent’s Hospital, Darlinghurst, NSW, Australia
- Blood Stem Cell and Cancer Research Group, St Vincent’s Centre for Applied Medical Research, Darlinghurst, NSW, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, University of New South Wales (UNSW), Darlinghurst, NSW, Australia
| | - Carole Ford
- Blood Stem Cell and Cancer Research Group, St Vincent’s Centre for Applied Medical Research, Darlinghurst, NSW, Australia
| | - Melissa Khoo
- Blood Stem Cell and Cancer Research Group, St Vincent’s Centre for Applied Medical Research, Darlinghurst, NSW, Australia
| | - Kevin Hendrawan
- Blood Stem Cell and Cancer Research Group, St Vincent’s Centre for Applied Medical Research, Darlinghurst, NSW, Australia
| | - John Zaunders
- Immunology Laboratory, St Vincent’s Centre for Applied Medical Research, Darlinghurst, NSW, Australia
| | | | - Rémi Cheynier
- Université de Paris, INSERM, CNRS, Institut Cochin, Paris, France
| | - Fabio Luciani
- School of Medical Sciences and Kirby Institute for Infection and Immunity, University of New South Wales (UNSW), Kensington, NSW, Australia
| | - David Ma
- Department of Haematology, St Vincent’s Hospital, Darlinghurst, NSW, Australia
- Blood Stem Cell and Cancer Research Group, St Vincent’s Centre for Applied Medical Research, Darlinghurst, NSW, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, University of New South Wales (UNSW), Darlinghurst, NSW, Australia
| | - John Moore
- Department of Haematology, St Vincent’s Hospital, Darlinghurst, NSW, Australia
- Blood Stem Cell and Cancer Research Group, St Vincent’s Centre for Applied Medical Research, Darlinghurst, NSW, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, University of New South Wales (UNSW), Darlinghurst, NSW, Australia
| | - Ian Sutton
- St. Vincent’s Clinical School, Faculty of Medicine, University of New South Wales (UNSW), Darlinghurst, NSW, Australia
- Department of Neurology, St Vincent’s Clinic, Darlinghurst, NSW, Australia
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103
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Salih Z, Banyard A, Tweedy J, Galvani E, Middlehurst P, Mills S, Weightman J, Gupta A, Lorigan PC, Zhou C, Dhomen N, Valpione S, Marais R. T cell immune awakening in response to immunotherapy is age-dependent. Eur J Cancer 2022; 162:11-21. [PMID: 34952479 PMCID: PMC8829752 DOI: 10.1016/j.ejca.2021.11.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 10/29/2021] [Accepted: 11/08/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Precision immuno-oncology approaches are needed to improve cancer care. We recently demonstrated that in patients with metastatic melanoma, an increase of clonality or diversity of the T cell receptor (TCR) repertoire of peripheral T cells following one cycle of immunotherapy is coincident with response to immune-checkpoint blockade (ICB). We also identified a subset of peripheral CD8+ immune-effector memory T cells (TIE cells) whose expansion was associated with response to ICB and increased overall survival. To improve our understanding of peripheral T cell dynamics, we examined the clinical correlates associated with these immune signatures. METHODS Fifty patients with metastatic melanoma treated with first-line anti-PD-1 ICB were included. We analysed TCR repertoire and peripheral TIE cell dynamics by age before treatment (T0) and after the first cycle of treatment at week 3 (W3). RESULTS We observed a correlation between TIE abundance and age at T0 (r = 0.40), which reduced following treatment at W3 (r = 0.07). However, at W3, we observed two significantly opposing patterns (p = 0.03) of TCR repertoire rearrangement in patients who responded to treatment, with patients ≥70 years of age showing an increase in TCR clonality and patients <70 years of age showing an increase in TCR diversity. CONCLUSIONS We demonstrate that immunotherapy-induced immune-awakening patterns in patients with melanoma are age-related and may impact patient response to ICB, and thus have implications for biomarker development and planning of personalised therapeutic strategies.
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Affiliation(s)
- Zena Salih
- Molecular Oncology Group, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, Macclesfield, Cheshire SK10 4TG, United Kingdom; The Christie NHS Foundation Trust, 550 Wilmslow Road, Manchester M20 4BX, United Kingdom
| | - Antonia Banyard
- Flow Cytometry, Cancer Research UK Manchester Institute, the University of Manchester, Alderley Park, Macclesfield, Cheshire SK10 4TG, United Kingdom
| | - Joshua Tweedy
- Molecular Oncology Group, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, Macclesfield, Cheshire SK10 4TG, United Kingdom
| | - Elena Galvani
- Molecular Oncology Group, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, Macclesfield, Cheshire SK10 4TG, United Kingdom
| | - Philippa Middlehurst
- Manchester Cancer Research Centre Biobank, The Christie NHS Foundation Trust, 550 Wilmslow Road, Manchester M20 4BX, United Kingdom
| | - Sarah Mills
- Manchester Cancer Research Centre Biobank, The Christie NHS Foundation Trust, 550 Wilmslow Road, Manchester M20 4BX, United Kingdom
| | - John Weightman
- Molecular Biology Core Facility, Cancer Research UK Manchester Institute, the University of Manchester, Alderley Park, Macclesfield, Cheshire SK10 4TG, United Kingdom
| | - Avinash Gupta
- The Christie NHS Foundation Trust, 550 Wilmslow Road, Manchester M20 4BX, United Kingdom
| | - Paul C Lorigan
- The Christie NHS Foundation Trust, 550 Wilmslow Road, Manchester M20 4BX, United Kingdom; Division of Cancer Sciences, The University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom
| | - Cong Zhou
- Cancer Biomarker Centre, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, Macclesfield, Cheshire SK10 4TG, United Kingdom
| | - Nathalie Dhomen
- Molecular Oncology Group, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, Macclesfield, Cheshire SK10 4TG, United Kingdom
| | - Sara Valpione
- Molecular Oncology Group, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, Macclesfield, Cheshire SK10 4TG, United Kingdom; The Christie NHS Foundation Trust, 550 Wilmslow Road, Manchester M20 4BX, United Kingdom
| | - Richard Marais
- Molecular Oncology Group, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, Macclesfield, Cheshire SK10 4TG, United Kingdom.
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104
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Chun B, Pucilowska J, Chang S, Kim I, Nikitin B, Koguchi Y, Redmond WL, Bernard B, Rajamanickam V, Polaske N, Fields PA, Conrad V, Schmidt M, Urba WJ, Conlin AK, McArthur HL, Page DB. Changes in T-cell subsets and clonal repertoire during chemoimmunotherapy with pembrolizumab and paclitaxel or capecitabine for metastatic triple-negative breast cancer. J Immunother Cancer 2022; 10:jitc-2021-004033. [PMID: 35086949 PMCID: PMC8796261 DOI: 10.1136/jitc-2021-004033] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/07/2021] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Chemoimmunotherapy is a standard treatment for triple-negative breast cancer (TNBC), however, the impacts of different chemotherapies on T-cell populations, which could correlate with clinical activity, are not known. Quantifying T-cell populations with flow cytometry and T-cell receptor (TCR) immunosequencing may improve our understanding of how chemoimmunotherapy affects T-cell subsets, and to what extent clonal shifts occur during treatment. TCR immunosequencing of intratumoral T cells may facilitate the identification and monitoring of putatively tumor-reactive T-cell clones within the blood. METHODS Blood and tumor biopsies were collected from patients with metastatic TNBC enrolled in a phase Ib clinical trial of first or second-line pembrolizumab with paclitaxel or capecitabine. Using identical biospecimen processing protocols, blood samples from a cohort of patients treated for early-stage breast cancer were obtained for comparison. Treatment-related immunological changes in peripheral blood and intratumoral T cells were characterized using flow cytometry and TCR immunosequencing. Clonal proliferation rates of T cells were compared based on intratumoral enrichment. RESULTS When combined with pembrolizumab, paclitaxel and capecitabine resulted in similar time-dependent lymphodepletions across measured peripheral T-cell subsets. Their effects were more modest than that observed following curative-intent dose-dense anthracycline and cyclophosphamide (ddAC) (average fold-change in CD3+ cells, capecitabine: -0.42, paclitaxel: -0.56, ddAC: -1.21). No differences in T-cell clonality or richness were observed following capecitabine or paclitaxel-based treatments. Regression modeling identified differences in the emergence of novel T-cell clones that were not detected at baseline (odds compared with ddAC, capecitabine: 0.292, paclitaxel: 0.652). Pembrolizumab with paclitaxel or capecitabine expanded T-cell clones within tumors; however, these clones did not always expand within the blood. Proliferation rates within the blood were similar between clones that were enriched and those that were not enriched within tumors. CONCLUSION Chemoimmunotherapy for metastatic TNBC with pembrolizumab and capecitabine or paclitaxel resulted in similar peripheral T-cell subset lymphodepletion without altering T-cell clonal diversity. Regression modeling methods are applicable in immune monitoring studies, such as this to identify the odds of novel T-cell clones emerging during treatment, and proliferation rates of tumor-enriched T-cell clones.
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Affiliation(s)
- Brie Chun
- Earle A Chiles Research Institute, Providence Cancer Institute, Portland, Oregon, USA
| | - Joanna Pucilowska
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA
| | - ShuChing Chang
- Medical Data Research Center, Providence St Joseph Health, Portland, Oregon, USA
| | - Isaac Kim
- Earle A Chiles Research Institute, Providence Cancer Institute, Portland, Oregon, USA
| | - Benjamin Nikitin
- Earle A Chiles Research Institute, Providence Cancer Institute, Portland, Oregon, USA
| | - Yoshinobu Koguchi
- Earle A Chiles Research Institute, Providence Cancer Institute, Portland, Oregon, USA
| | - William L Redmond
- Earle A Chiles Research Institute, Providence Cancer Institute, Portland, Oregon, USA
| | - Brady Bernard
- Earle A Chiles Research Institute, Providence Cancer Institute, Portland, Oregon, USA.,Computational Immuno-Oncology and Bioinformatics Core, Earle A. Chiles Research Institute, Portland, Oregon, USA
| | - Venkatesh Rajamanickam
- Earle A Chiles Research Institute, Providence Cancer Institute, Portland, Oregon, USA.,Computational Immuno-Oncology and Bioinformatics Core, Earle A. Chiles Research Institute, Portland, Oregon, USA
| | | | - Paul A Fields
- Adaptive Biotechnologies Corp, Seattle, Washington, USA
| | - Valerie Conrad
- Earle A Chiles Research Institute, Providence Cancer Institute, Portland, Oregon, USA
| | - Mark Schmidt
- Earle A Chiles Research Institute, Providence Cancer Institute, Portland, Oregon, USA
| | - Walter J Urba
- Earle A Chiles Research Institute, Providence Cancer Institute, Portland, Oregon, USA
| | - Alison K Conlin
- Earle A Chiles Research Institute, Providence Cancer Institute, Portland, Oregon, USA
| | - Heather L McArthur
- Department of Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - David B Page
- Earle A Chiles Research Institute, Providence Cancer Institute, Portland, Oregon, USA
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105
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Li W, Jia Y, Wang Y, Zhao Q, Yang L, Zeng T, Niu L, Dai R, Li Y, Zhao X, Wu J. WASp Deficiency Selectively Affects the TCR Diversity of Different Memory T Cell Subsets in WAS Chimeric Mice. Front Immunol 2022; 12:794795. [PMID: 35116029 PMCID: PMC8803657 DOI: 10.3389/fimmu.2021.794795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 12/27/2021] [Indexed: 11/13/2022] Open
Abstract
Background The T cell receptor (TCR) diversity is essential for effective T cell immunity. Previous studies showed that TCR diversity in Wiskott–Aldrich Syndrome (WAS) patients was severely impaired, especially in the memory T cell populations. Whether this defect was caused by intrinsic WASp deficiency or extrinsic reasons is still unclear. Methods We sorted different T cell subsets from the bone marrow chimeric mice model using both magnetic beads and flow cytometry. TCR repertoires of memory T cells, especially CD4+ effector memory T (TEM) cells and CD8+ central memory T (TCM) cells, were analyzed using the UMI quantitative high-throughput sequencing (HTS). Results An average of 5.51 million sequencing reads of 32 samples was obtained from the Illumina sequencing platform. Bioinformatic analyses showed that compared with wild type (WT), WAS knock out (KO)-CD4+ TEM cells exhibited increased Simpson index and decreased D50 index (P <0.05); The rank abundance curve of KO-CD4+ TEM cells was shorter and steeper than that of WT, and the angle of qD and q in KO-CD4+ TEM cells was lower than that of WT, while these indexes showed few changes between WT and KO chimeric mice in the CD8+TCM population. Therefore, it indicated that the restriction on the TCRVβ repertoires is majorly in KO-CD4+ TEM cells but not KO- CD8+ TCM cells. Principal Component Analysis (PCA), a comprehensive parameter for TCRVβ diversity, successfully segregated CD4+ TEM cells from WT and KO, but failed in CD8+ TCM cells. Among the total sequences of TRB, the usage of TRBV12.2, TRBV30, TRBV31, TRBV4, TRBD1, TRBD2, TRBJ1.1, and TRBJ1.4 showed a significant difference between WT-CD4+ TEM cells and KO-CD4+ TEM cells (P <0.05), while in CD8+ TCM cells, only the usage of TRBV12.2 and TRBV20 showed a substantial difference between WT and KO (P <0.05). No significant differences in the hydrophobicity and sequence length of TCRVβ were found between the WT and KO groups. Conclusion WASp deficiency selectively affected the TCR diversity of different memory T cell subsets, and it had more impact on the TCRVβ diversity of CD4+ TEM cells than CD8+ TCM cells. Moreover, the limitation of TCRVβ diversity of CD4+ TEM cells and CD8+ TCM cells in WAS was not severe but intrinsic.
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Affiliation(s)
- Wenyan Li
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Infection and Immunity, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Yanjun Jia
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Infection and Immunity, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Yanping Wang
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Infection and Immunity, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Qin Zhao
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Infection and Immunity, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Lu Yang
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Infection and Immunity, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Ting Zeng
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Infection and Immunity, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Linlin Niu
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Infection and Immunity, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Rongxin Dai
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Infection and Immunity, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
- Department of Rheumatology and Immunology, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Yanan Li
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Infection and Immunity, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
- Department of Rheumatology and Immunology, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaodong Zhao
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Infection and Immunity, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
- *Correspondence: Junfeng Wu, ; Xiaodong Zhao,
| | - Junfeng Wu
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Infection and Immunity, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
- Department of Rheumatology and Immunology, Children’s Hospital of Chongqing Medical University, Chongqing, China
- *Correspondence: Junfeng Wu, ; Xiaodong Zhao,
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106
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Cios KJ, Huda TI, Eakins RA, Mihyu MM, Blanck G. Specific TCR V-J gene segment recombinations leading to the identification pan-V-J CDR3s associated with survival distinctions: diffuse large B-cell lymphoma. Leuk Lymphoma 2022; 63:1314-1322. [PMID: 35019822 DOI: 10.1080/10428194.2021.2020781] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
In the diffuse large B-cell lymphoma (DLBCL) setting, we examined lymph node biopsy, T-cell receptor features, and the DLBLC patient human leukocyte antigen (HLA) alleles, to provide a basis for assessing survival distinctions represented by the National Cancer Institute Center for Cancer Research (NCICCR) dataset. While previous analyses of other cancer datasets have indicated that specific T-cell receptor (TCR) V or J gene segments, independently, can be associated with a survival distinction, we have here identified V-J recombinations, representing specific V and J gene segments associated with survival distinctions. As specific V-J recombinations represent relatively conserved complementarity determining region-3 (CDR3) amino acid sequences, we assessed the entire DLBCL NCICCR dataset for such conserved CDR3 features. Overall, this approach indicated the opportunity of identifying DLBCL patient subpopulations with TCR CDR3 features, and HLA alleles, with significant survival distinctions, possibly identifying cohorts more likely to benefit from a given immunotherapy.
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Affiliation(s)
- Konrad J Cios
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Taha I Huda
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Rachel A Eakins
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Moody M Mihyu
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - George Blanck
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA.,Department of Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
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107
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Shkurnikov MY, Averinskaya DA, Komarov AG, Karbyshev IA, Speshilov GI, Shtinova IA, Doroshenko DA, Vechorko VI. Relationship of Covid-19 Severity with SARS-CoV-2 NS8 Protein Mutations Depending on Virus Strain. DOKL BIOCHEM BIOPHYS 2022; 507:242-246. [PMID: 36786981 PMCID: PMC9926417 DOI: 10.1134/s1607672922060102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 08/14/2022] [Accepted: 08/16/2022] [Indexed: 02/15/2023]
Abstract
In mid-2021, the Delta strain of SARS-CoV-2 caused the third wave of the COVID-19 pandemic. Huge efforts have been devoted to studying the effect of its mutations on the effectiveness of neutralizing antibodies. Much less attention was paid to the individual features of the presentation of its peptides by molecules of the major histocompatibility complex class I (MCHC-I). In this study, the correlation of the HLA-I genotype of patients under the age of 60 years with the severity of COVID-19 caused by the two most common variants of the SARS-CoV-2 Delta strain in the summer of 2021: AY.122 and B.1.617.2 was studied. Analysis of the severity of the course of COVID-19 revealed a more severe course of the disease caused by the AY.122 variant. Comparison of the mutation profile of the two most common variants of the Delta strain showed that that the G8R mutation in the NS8 protein makes the greatest contribution to the ability of MHC-I to present viral peptides. Given that the NS8 protein is able to suppress the maturation of MHC-I molecules, the appearance of a mutation in one of its immunogenic epitopes could make a significant contribution to the prevalence of the AY.122 variant in the Russian population.
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Affiliation(s)
- M. Yu. Shkurnikov
- Faculty of Biology and Biotechnology, HSE University, Moscow, Russia ,Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia
| | - D. A. Averinskaya
- Faculty of Biology and Biotechnology, HSE University, Moscow, Russia
| | - A. G. Komarov
- Moscow City Public Institution of Health Care Diagnostic Center (Laboratory Testing Center) of Moscow Health Department, Moscow, Russia
| | - I. A. Karbyshev
- Moscow City Public Institution of Health Care Diagnostic Center (Laboratory Testing Center) of Moscow Health Department, Moscow, Russia
| | - G. I. Speshilov
- Moscow City Public Institution of Health Care Diagnostic Center (Laboratory Testing Center) of Moscow Health Department, Moscow, Russia
| | - I. A. Shtinova
- Moscow City Public Institution of Health Care Diagnostic Center (Laboratory Testing Center) of Moscow Health Department, Moscow, Russia
| | - D. A. Doroshenko
- Moscow City Public Institution of Health Care Filatov City Clinical Hospital of Moscow Health Department, Moscow, Russia
| | - V. I. Vechorko
- Moscow City Public Institution of Health Care Filatov City Clinical Hospital of Moscow Health Department, Moscow, Russia
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108
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Amoriello R, Mariottini A, Ballerini C. Immunosenescence and Autoimmunity: Exploiting the T-Cell Receptor Repertoire to Investigate the Impact of Aging on Multiple Sclerosis. Front Immunol 2021; 12:799380. [PMID: 34925384 PMCID: PMC8673061 DOI: 10.3389/fimmu.2021.799380] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 11/16/2021] [Indexed: 01/08/2023] Open
Abstract
T-cell receptor (TCR) repertoire diversity is a determining factor for the immune system capability in fighting infections and preventing autoimmunity. During life, the TCR repertoire diversity progressively declines as a physiological aging progress. The investigation of TCR repertoire dynamics over life represents a powerful tool unraveling the impact of immunosenescence in health and disease. Multiple Sclerosis (MS) is a demyelinating, inflammatory, T-cell mediated autoimmune disease of the Central Nervous System in which age is crucial: it is the most widespread neurological disease among young adults and, furthermore, patients age may impact on MS progression and treatments outcome. Crossing knowledge on the TCR repertoire dynamics over MS patients' life is fundamental to investigate disease mechanisms, and the advent of high- throughput sequencing (HTS) has significantly increased our knowledge on the topic. Here we report an overview of current literature about the impact of immunosenescence and age-related TCR dynamics variation in autoimmunity, including MS.
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Affiliation(s)
- Roberta Amoriello
- Dipartimento di Medicina Sperimentale e Clinica (DMSC), Laboratory of Neuroimmunology, University of Florence, Florence, Italy
| | - Alice Mariottini
- Dipartimento di Neuroscienze, Psicologia, Area del Farmaco e Salute del Bambino (NEUROFARBA), University of Florence, Florence, Italy
| | - Clara Ballerini
- Dipartimento di Medicina Sperimentale e Clinica (DMSC), Laboratory of Neuroimmunology, University of Florence, Florence, Italy
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Farheen S, Agrawal S, Zubair S, Agrawal A, Jamal F, Altaf I, Kashif Anwar A, Umair SM, Owais M. Patho-Physiology of Aging and Immune-Senescence: Possible Correlates With Comorbidity and Mortality in Middle-Aged and Old COVID-19 Patients. FRONTIERS IN AGING 2021; 2:748591. [PMID: 35822018 PMCID: PMC9261314 DOI: 10.3389/fragi.2021.748591] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 11/30/2021] [Indexed: 01/08/2023]
Abstract
During the last 2 years, the entire world has been severely devastated by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic (COVID-19) as it resulted in several million deaths across the globe. While the virus infects people indiscriminately, the casualty risk is higher mainly in old, and middle-aged COVID-19 patients. The incidences of COVID-19 associated co-morbidity and mortality have a great deal of correlation with the weakened and malfunctioning immune systems of elderly people. Presumably, due to the physiological changes associated with aging and because of possible comorbidities such as diabetes, hypertension, obesity, cardiovascular, and lung diseases, which are more common in elderly people, may be considered as the reason making the elderly vulnerable to the infection on one hand, and COVID-19 associated complications on the other. The accretion of senescent immune cells not only contributes to the deterioration of host defense, but also results in elevated inflammatory phenotype persuaded immune dysfunction. In the present review, we envisage to correlate functioning of the immune defense of older COVID-19 patients with secondary/super infection, increased susceptibility or aggravation against already existing cancer, infectious, autoimmune, and other chronic inflammatory diseases. Moreover, we have discussed how age-linked modulations in the immune system affect therapeutic response against administered drugs as well as immunological response to various prophylactic measures including vaccination in the elderly host. The present review also provides an insight into the intricate pathophysiology of the aging and the overall immune response of the host to SARS-CoV-2 infection. A better understanding of age-related immune dysfunction is likely to help us in the development of targeted preemptive strategies for deadly COVID-19 in elderly patients.
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Affiliation(s)
- Saba Farheen
- Interdisciplinary Biotechnology Unit, Faculty of Life Sciences, Aligarh Muslim University, Aligarh, India
| | - Sudhanshu Agrawal
- Division of Basic and Clinical Immunology, Department of Medicine, University of California, Irvine, Irvine, CA, United States
| | - Swaleha Zubair
- Department of Computer Science, Aligarh Muslim University, Aligarh, India
| | - Anshu Agrawal
- Division of Basic and Clinical Immunology, Department of Medicine, University of California, Irvine, Irvine, CA, United States
| | - Fauzia Jamal
- Interdisciplinary Biotechnology Unit, Faculty of Life Sciences, Aligarh Muslim University, Aligarh, India
| | - Ishrat Altaf
- Interdisciplinary Biotechnology Unit, Faculty of Life Sciences, Aligarh Muslim University, Aligarh, India
| | - Abu Kashif Anwar
- Department of Anatomy, HSZH Gov, Unani Medical College, Bhopal, India
| | | | - Mohammad Owais
- Interdisciplinary Biotechnology Unit, Faculty of Life Sciences, Aligarh Muslim University, Aligarh, India
- *Correspondence: Mohammad Owais,
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110
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Wong SK, Nebhan CA, Johnson DB. Impact of Patient Age on Clinical Efficacy and Toxicity of Checkpoint Inhibitor Therapy. Front Immunol 2021; 12:786046. [PMID: 34868071 PMCID: PMC8635107 DOI: 10.3389/fimmu.2021.786046] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 10/29/2021] [Indexed: 12/19/2022] Open
Abstract
The addition of immune checkpoint inhibitors (ICIs) to the therapeutic armamentarium for solid malignancies has resulted in unprecedented improvements in patient outcomes in many cancers. The landscape of ICIs continues to evolve with novel approaches such as dual immune checkpoint blockade and combination therapies with other anticancer agents including cytotoxic chemotherapies and/or antiangiogenics. However, there is significant heterogeneity seen in antitumor responses, with certain patients deriving durable benefit, others experiencing initial benefit followed by acquired resistance necessitating change in therapy, and still others who are primarily refractory to ICIs. While generally better tolerated than traditional cytotoxic chemotherapy, ICIs are associated with unique toxicities, termed immune-related adverse events (irAEs), which can be severe or even lethal. As a disease of aging, older individuals make up a large proportion of patients diagnosed with cancer, yet this population is often underrepresented in clinical trials. Because ICIs indirectly target malignant cells through T cell activation, it has been hypothesized that age-related changes to the immune system may impact the efficacy and toxicity of these drugs. In this review, we discuss differences in the clinical efficacy and toxicity of ICIs in patients at the extremes of age.
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Affiliation(s)
- Selina K Wong
- Department of Medicine, Vanderbilt University Medical Center and Vanderbilt Ingram Cancer Center, Nashville, TN, United States
| | - Caroline A Nebhan
- Department of Medicine, Vanderbilt University Medical Center and Vanderbilt Ingram Cancer Center, Nashville, TN, United States
| | - Douglas B Johnson
- Department of Medicine, Vanderbilt University Medical Center and Vanderbilt Ingram Cancer Center, Nashville, TN, United States
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111
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Cossarizza A, Chang HD, Radbruch A, Abrignani S, Addo R, Akdis M, Andrä I, Andreata F, Annunziato F, Arranz E, Bacher P, Bari S, Barnaba V, Barros-Martins J, Baumjohann D, Beccaria CG, Bernardo D, Boardman DA, Borger J, Böttcher C, Brockmann L, Burns M, Busch DH, Cameron G, Cammarata I, Cassotta A, Chang Y, Chirdo FG, Christakou E, Čičin-Šain L, Cook L, Corbett AJ, Cornelis R, Cosmi L, Davey MS, De Biasi S, De Simone G, del Zotto G, Delacher M, Di Rosa F, Di Santo J, Diefenbach A, Dong J, Dörner T, Dress RJ, Dutertre CA, Eckle SBG, Eede P, Evrard M, Falk CS, Feuerer M, Fillatreau S, Fiz-Lopez A, Follo M, Foulds GA, Fröbel J, Gagliani N, Galletti G, Gangaev A, Garbi N, Garrote JA, Geginat J, Gherardin NA, Gibellini L, Ginhoux F, Godfrey DI, Gruarin P, Haftmann C, Hansmann L, Harpur CM, Hayday AC, Heine G, Hernández DC, Herrmann M, Hoelsken O, Huang Q, Huber S, Huber JE, Huehn J, Hundemer M, Hwang WYK, Iannacone M, Ivison SM, Jäck HM, Jani PK, Keller B, Kessler N, Ketelaars S, Knop L, Knopf J, Koay HF, Kobow K, Kriegsmann K, Kristyanto H, Krueger A, Kuehne JF, Kunze-Schumacher H, Kvistborg P, Kwok I, Latorre D, Lenz D, Levings MK, Lino AC, Liotta F, Long HM, Lugli E, MacDonald KN, Maggi L, Maini MK, Mair F, Manta C, Manz RA, Mashreghi MF, Mazzoni A, McCluskey J, Mei HE, Melchers F, Melzer S, Mielenz D, Monin L, Moretta L, Multhoff G, Muñoz LE, Muñoz-Ruiz M, Muscate F, Natalini A, Neumann K, Ng LG, Niedobitek A, Niemz J, Almeida LN, Notarbartolo S, Ostendorf L, Pallett LJ, Patel AA, Percin GI, Peruzzi G, Pinti M, Pockley AG, Pracht K, Prinz I, Pujol-Autonell I, Pulvirenti N, Quatrini L, Quinn KM, Radbruch H, Rhys H, Rodrigo MB, Romagnani C, Saggau C, Sakaguchi S, Sallusto F, Sanderink L, Sandrock I, Schauer C, Scheffold A, Scherer HU, Schiemann M, Schildberg FA, Schober K, Schoen J, Schuh W, Schüler T, Schulz AR, Schulz S, Schulze J, Simonetti S, Singh J, Sitnik KM, Stark R, Starossom S, Stehle C, Szelinski F, Tan L, Tarnok A, Tornack J, Tree TIM, van Beek JJP, van de Veen W, van Gisbergen K, Vasco C, Verheyden NA, von Borstel A, Ward-Hartstonge KA, Warnatz K, Waskow C, Wiedemann A, Wilharm A, Wing J, Wirz O, Wittner J, Yang JHM, Yang J. Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition). Eur J Immunol 2021; 51:2708-3145. [PMID: 34910301 PMCID: PMC11115438 DOI: 10.1002/eji.202170126] [Citation(s) in RCA: 217] [Impact Index Per Article: 72.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The third edition of Flow Cytometry Guidelines provides the key aspects to consider when performing flow cytometry experiments and includes comprehensive sections describing phenotypes and functional assays of all major human and murine immune cell subsets. Notably, the Guidelines contain helpful tables highlighting phenotypes and key differences between human and murine cells. Another useful feature of this edition is the flow cytometry analysis of clinical samples with examples of flow cytometry applications in the context of autoimmune diseases, cancers as well as acute and chronic infectious diseases. Furthermore, there are sections detailing tips, tricks and pitfalls to avoid. All sections are written and peer-reviewed by leading flow cytometry experts and immunologists, making this edition an essential and state-of-the-art handbook for basic and clinical researchers.
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Affiliation(s)
- Andrea Cossarizza
- Department of Medical and Surgical Sciences for Children & Adults, University of Modena and Reggio Emilia, Modena, Italy
| | - Hyun-Dong Chang
- German Rheumatism Research Center Berlin (DRFZ), Berlin, Germany
- Institute for Biotechnology, Technische Universität, Berlin, Germany
| | - Andreas Radbruch
- German Rheumatism Research Center Berlin (DRFZ), Berlin, Germany
| | - Sergio Abrignani
- Istituto Nazionale di Genetica Molecolare Romeo ed Enrica Invernizzi (INGM), Milan, Italy
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy
| | - Richard Addo
- German Rheumatism Research Center Berlin (DRFZ), Berlin, Germany
| | - Mübeccel Akdis
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland
| | - Immanuel Andrä
- Institut für Medizinische Mikrobiologie, Immunologie und Hygiene, Technische Universität München, Munich, Germany
| | - Francesco Andreata
- Division of Immunology, Transplantation and Infectious Diseases, IRCSS San Raffaele Scientific Institute, Milan, Italy
| | - Francesco Annunziato
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Eduardo Arranz
- Mucosal Immunology Lab, Unidad de Excelencia Instituto de Biomedicina y Genética Molecular de Valladolid (IBGM, Universidad de Valladolid-CSIC), Valladolid, Spain
| | - Petra Bacher
- Institute of Immunology, Christian-Albrechts Universität zu Kiel & Universitätsklinik Schleswig-Holstein, Kiel, Germany
- Institute of Clinical Molecular Biology Christian-Albrechts Universität zu Kiel, Kiel, Germany
| | - Sudipto Bari
- Division of Medical Sciences, National Cancer Centre Singapore, Singapore
- Cancer & Stem Cell Biology, Duke-NUS Medical School, Singapore, Singapore
| | - Vincenzo Barnaba
- Dipartimento di Medicina Interna e Specialità Mediche, Sapienza Università di Roma, Rome, Italy
- Center for Life Nano & Neuro Science@Sapienza, Istituto Italiano di Tecnologia (IIT), Rome, Italy
- Istituto Pasteur - Fondazione Cenci Bolognetti, Rome, Italy
| | | | - Dirk Baumjohann
- Medical Clinic III for Oncology, Hematology, Immuno-Oncology and Rheumatology, University Hospital Bonn, University of Bonn, Bonn, Germany
| | - Cristian G. Beccaria
- Division of Immunology, Transplantation and Infectious Diseases, IRCSS San Raffaele Scientific Institute, Milan, Italy
| | - David Bernardo
- Mucosal Immunology Lab, Unidad de Excelencia Instituto de Biomedicina y Genética Molecular de Valladolid (IBGM, Universidad de Valladolid-CSIC), Valladolid, Spain
- Centro de Investigaciones Biomédicas en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Madrid, Spain
| | - Dominic A. Boardman
- Department of Surgery, The University of British Columbia, Vancouver, Canada
- BC Children’s Hospital Research Institute, Vancouver, Canada
| | - Jessica Borger
- Department of Immunology and Pathology, Monash University, Melbourne, Victoria, Australia
| | - Chotima Böttcher
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Leonie Brockmann
- Department of Microbiology & Immunology, Columbia University, New York City, USA
| | - Marie Burns
- German Rheumatism Research Center Berlin (DRFZ), Berlin, Germany
| | - Dirk H. Busch
- Institut für Medizinische Mikrobiologie, Immunologie und Hygiene, Technische Universität München, Munich, Germany
- German Center for Infection Research (DZIF), Munich, Germany
| | - Garth Cameron
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia
- Australian Research Council Centre of Excellence in Advanced Molecular Imaging, University of Melbourne, Parkville, Victoria, Australia
| | - Ilenia Cammarata
- Dipartimento di Medicina Interna e Specialità Mediche, Sapienza Università di Roma, Rome, Italy
| | - Antonino Cassotta
- Institute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland
| | - Yinshui Chang
- Medical Clinic III for Oncology, Hematology, Immuno-Oncology and Rheumatology, University Hospital Bonn, University of Bonn, Bonn, Germany
| | - Fernando Gabriel Chirdo
- Instituto de Estudios Inmunológicos y Fisiopatológicos - IIFP (UNLP-CONICET), Facultad de Ciencias Exactas, Universidad Nacional de La Plata, La Plata, Argentina
| | - Eleni Christakou
- Peter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King’s College London, UK
- National Institute for Health Research (NIHR) Biomedical Research Center (BRC), Guy’s and St Thomas’ NHS Foundation Trust and King’s College London, London, UK
| | - Luka Čičin-Šain
- Department of Viral Immunology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Laura Cook
- BC Children’s Hospital Research Institute, Vancouver, Canada
- Department of Medicine, The University of British Columbia, Vancouver, Canada
| | - Alexandra J. Corbett
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia
| | - Rebecca Cornelis
- German Rheumatism Research Center Berlin (DRFZ), Berlin, Germany
| | - Lorenzo Cosmi
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Martin S. Davey
- Infection and Immunity Program, Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
| | - Sara De Biasi
- Department of Medical and Surgical Sciences for Children & Adults, University of Modena and Reggio Emilia, Modena, Italy
| | - Gabriele De Simone
- Laboratory of Translational Immunology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | | | - Michael Delacher
- Institute for Immunology, University Medical Center Mainz, Mainz, Germany
- Research Centre for Immunotherapy, University Medical Center Mainz, Mainz, Germany
| | - Francesca Di Rosa
- Institute of Molecular Biology and Pathology, National Research Council of Italy (CNR), Rome, Italy
- Immunosurveillance Laboratory, The Francis Crick Institute, London, UK
| | - James Di Santo
- Innate Immunity Unit, Department of Immunology, Institut Pasteur, Paris, France
- Inserm U1223, Paris, France
| | - Andreas Diefenbach
- Laboratory of Innate Immunity, Department of Microbiology, Infectious Diseases and Immunology, Charité – Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany
- Mucosal and Developmental Immunology, German Rheumatism Research Center Berlin (DRFZ), Berlin, Germany
| | - Jun Dong
- Cell Biology, German Rheumatism Research Center Berlin (DRFZ), An Institute of the Leibniz Association, Berlin, Germany
| | - Thomas Dörner
- German Rheumatism Research Center Berlin (DRFZ), Berlin, Germany
- Department of Medicine/Rheumatology and Clinical Immunology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Regine J. Dress
- Institute of Systems Immunology, Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Charles-Antoine Dutertre
- Institut National de la Sante Et de la Recherce Medicale (INSERM) U1015, Equipe Labellisee-Ligue Nationale contre le Cancer, Villejuif, France
| | - Sidonia B. G. Eckle
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia
| | - Pascale Eede
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Maximilien Evrard
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research, Singapore, Singapore
| | - Christine S. Falk
- Institute of Transplant Immunology, Hannover Medical School, Hannover, Germany
| | - Markus Feuerer
- Regensburg Center for Interventional Immunology (RCI), Regensburg, Germany
- Chair for Immunology, University Regensburg, Regensburg, Germany
| | - Simon Fillatreau
- Institut Necker Enfants Malades, INSERM U1151-CNRS, UMR8253, Paris, France
- Université de Paris, Paris Descartes, Faculté de Médecine, Paris, France
- AP-HP, Hôpital Necker Enfants Malades, Paris, France
| | - Aida Fiz-Lopez
- Mucosal Immunology Lab, Unidad de Excelencia Instituto de Biomedicina y Genética Molecular de Valladolid (IBGM, Universidad de Valladolid-CSIC), Valladolid, Spain
| | - Marie Follo
- Department of Medicine I, Lighthouse Core Facility, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Gemma A. Foulds
- John van Geest Cancer Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham, UK
- Centre for Health, Ageing and Understanding Disease (CHAUD), School of Science and Technology, Nottingham Trent University, Nottingham, UK
| | - Julia Fröbel
- Immunology of Aging, Leibniz Institute on Aging – Fritz Lipmann Institute, Jena, Germany
| | - Nicola Gagliani
- Department of Medicine, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Germany
| | - Giovanni Galletti
- Laboratory of Translational Immunology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Anastasia Gangaev
- Division of Molecular Oncology and Immunology, the Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Natalio Garbi
- Institute of Molecular Medicine and Experimental Immunology, Faculty of Medicine, University of Bonn, Germany
| | - José Antonio Garrote
- Mucosal Immunology Lab, Unidad de Excelencia Instituto de Biomedicina y Genética Molecular de Valladolid (IBGM, Universidad de Valladolid-CSIC), Valladolid, Spain
- Laboratory of Molecular Genetics, Servicio de Análisis Clínicos, Hospital Universitario Río Hortega, Gerencia Regional de Salud de Castilla y León (SACYL), Valladolid, Spain
| | - Jens Geginat
- Istituto Nazionale di Genetica Molecolare Romeo ed Enrica Invernizzi (INGM), Milan, Italy
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy
| | - Nicholas A. Gherardin
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia
- Australian Research Council Centre of Excellence in Advanced Molecular Imaging, University of Melbourne, Parkville, Victoria, Australia
| | - Lara Gibellini
- Department of Medical and Surgical Sciences for Children & Adults, University of Modena and Reggio Emilia, Modena, Italy
| | - Florent Ginhoux
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research, Singapore, Singapore
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Translational Immunology Institute, SingHealth Duke-NUS Academic Medical Centre, Singapore, Singapore
| | - Dale I. Godfrey
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia
- Australian Research Council Centre of Excellence in Advanced Molecular Imaging, University of Melbourne, Parkville, Victoria, Australia
| | - Paola Gruarin
- Istituto Nazionale di Genetica Molecolare Romeo ed Enrica Invernizzi (INGM), Milan, Italy
| | - Claudia Haftmann
- Institute of Experimental Immunology, University of Zurich, Zurich, Switzerland
| | - Leo Hansmann
- Department of Hematology, Oncology, and Tumor Immunology, Charité - Universitätsmedizin Berlin (CVK), Berlin, Germany
- Berlin Institute of Health (BIH), Berlin, Germany
- German Cancer Consortium (DKTK), partner site Berlin, Germany
| | - Christopher M. Harpur
- Centre for Innate Immunity and Infectious Diseases, Hudson Institute of Medical Research, Clayton, Victoria, Australia
- Department of Molecular and Translational Sciences, Monash University, Clayton, Victoria, Australia
| | - Adrian C. Hayday
- Peter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King’s College London, UK
- National Institute for Health Research (NIHR) Biomedical Research Center (BRC), Guy’s and St Thomas’ NHS Foundation Trust and King’s College London, London, UK
- Immunosurveillance Laboratory, The Francis Crick Institute, London, UK
| | - Guido Heine
- Division of Allergy, Department of Dermatology and Allergy, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Daniela Carolina Hernández
- Innate Immunity, German Rheumatism Research Center Berlin (DRFZ), Berlin, Germany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Gastroenterology, Infectious Diseases, Rheumatology, Berlin, Germany
| | - Martin Herrmann
- Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Department of Medicine 3 – Rheumatology and Immunology and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum für Immuntherapie, Friedrich-Alexander-University Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Oliver Hoelsken
- Laboratory of Innate Immunity, Department of Microbiology, Infectious Diseases and Immunology, Charité – Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany
- Mucosal and Developmental Immunology, German Rheumatism Research Center Berlin (DRFZ), Berlin, Germany
| | - Qing Huang
- Department of Surgery, The University of British Columbia, Vancouver, Canada
- BC Children’s Hospital Research Institute, Vancouver, Canada
| | - Samuel Huber
- Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Johanna E. Huber
- Institute for Immunology, Biomedical Center, Faculty of Medicine, LMU Munich, Planegg-Martinsried, Germany
| | - Jochen Huehn
- Experimental Immunology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Michael Hundemer
- Department of Hematology, Oncology and Rheumatology, University Heidelberg, Heidelberg, Germany
| | - William Y. K. Hwang
- Cancer & Stem Cell Biology, Duke-NUS Medical School, Singapore, Singapore
- Department of Hematology, Singapore General Hospital, Singapore, Singapore
- Executive Offices, National Cancer Centre Singapore, Singapore
| | - Matteo Iannacone
- Division of Immunology, Transplantation and Infectious Diseases, IRCSS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Sabine M. Ivison
- Department of Surgery, The University of British Columbia, Vancouver, Canada
- BC Children’s Hospital Research Institute, Vancouver, Canada
| | - Hans-Martin Jäck
- Division of Molecular Immunology, Nikolaus-Fiebiger-Center, Department of Internal Medicine III, University of Erlangen-Nürnberg, Erlangen, Germany
| | - Peter K. Jani
- German Rheumatism Research Center Berlin (DRFZ), Berlin, Germany
| | - Baerbel Keller
- Department of Rheumatology and Clinical Immunology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Center for Chronic Immunodeficiency, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Nina Kessler
- Institute of Molecular Medicine and Experimental Immunology, Faculty of Medicine, University of Bonn, Germany
| | - Steven Ketelaars
- Division of Molecular Oncology and Immunology, the Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Laura Knop
- Institute of Molecular and Clinical Immunology, Otto-von-Guericke University, Magdeburg, Germany
| | - Jasmin Knopf
- Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Department of Medicine 3 – Rheumatology and Immunology and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum für Immuntherapie, Friedrich-Alexander-University Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Hui-Fern Koay
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia
- Australian Research Council Centre of Excellence in Advanced Molecular Imaging, University of Melbourne, Parkville, Victoria, Australia
| | - Katja Kobow
- Department of Neuropathology, Universitätsklinikum Erlangen, Germany
| | - Katharina Kriegsmann
- Department of Hematology, Oncology and Rheumatology, University Heidelberg, Heidelberg, Germany
| | - H. Kristyanto
- Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Andreas Krueger
- Institute for Molecular Medicine, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Jenny F. Kuehne
- Institute of Transplant Immunology, Hannover Medical School, Hannover, Germany
| | - Heike Kunze-Schumacher
- Institute for Molecular Medicine, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Pia Kvistborg
- Division of Molecular Oncology and Immunology, the Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Immanuel Kwok
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research, Singapore, Singapore
| | | | - Daniel Lenz
- German Rheumatism Research Center Berlin (DRFZ), Berlin, Germany
| | - Megan K. Levings
- Department of Surgery, The University of British Columbia, Vancouver, Canada
- BC Children’s Hospital Research Institute, Vancouver, Canada
- School of Biomedical Engineering, The University of British Columbia, Vancouver, Canada
| | - Andreia C. Lino
- German Rheumatism Research Center Berlin (DRFZ), Berlin, Germany
| | - Francesco Liotta
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Heather M. Long
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Enrico Lugli
- Laboratory of Translational Immunology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Katherine N. MacDonald
- BC Children’s Hospital Research Institute, Vancouver, Canada
- School of Biomedical Engineering, The University of British Columbia, Vancouver, Canada
- Michael Smith Laboratories, The University of British Columbia, Vancouver, Canada
| | - Laura Maggi
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Mala K. Maini
- Division of Infection & Immunity, Institute of Immunity & Transplantation, University College London, London, UK
| | - Florian Mair
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Calin Manta
- Department of Hematology, Oncology and Rheumatology, University Heidelberg, Heidelberg, Germany
| | - Rudolf Armin Manz
- Institute for Systemic Inflammation Research, University of Luebeck, Luebeck, Germany
| | | | - Alessio Mazzoni
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - James McCluskey
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia
| | - Henrik E. Mei
- German Rheumatism Research Center Berlin (DRFZ), Berlin, Germany
| | - Fritz Melchers
- German Rheumatism Research Center Berlin (DRFZ), Berlin, Germany
| | - Susanne Melzer
- Clinical Trial Center Leipzig, Leipzig University, Härtelstr.16, −18, Leipzig, 04107, Germany
| | - Dirk Mielenz
- Division of Molecular Immunology, Nikolaus-Fiebiger-Center, Department of Internal Medicine III, University of Erlangen-Nürnberg, Erlangen, Germany
| | - Leticia Monin
- Immunosurveillance Laboratory, The Francis Crick Institute, London, UK
| | - Lorenzo Moretta
- Department of Immunology, IRCCS Bambino Gesù Children’s Hospital, Rome, Italy
| | - Gabriele Multhoff
- Radiation Immuno-Oncology Group, Center for Translational Cancer Research (TranslaTUM), Technical University of Munich (TUM), Klinikum rechts der Isar, Munich, Germany
- Department of Radiation Oncology, Technical University of Munich (TUM), Klinikum rechts der Isar, Munich, Germany
| | - Luis Enrique Muñoz
- Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Department of Medicine 3 – Rheumatology and Immunology and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum für Immuntherapie, Friedrich-Alexander-University Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Miguel Muñoz-Ruiz
- Immunosurveillance Laboratory, The Francis Crick Institute, London, UK
| | - Franziska Muscate
- Department of Medicine, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ambra Natalini
- Institute of Molecular Biology and Pathology, National Research Council of Italy (CNR), Rome, Italy
| | - Katrin Neumann
- Institute of Experimental Immunology and Hepatology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Lai Guan Ng
- Division of Medical Sciences, National Cancer Centre Singapore, Singapore
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research, Singapore, Singapore
- Department of Microbiology & Immunology, Immunology Programme, Life Science Institute, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- School of Biological Sciences, Nanyang Technological University, Singapore, Singapore
| | | | - Jana Niemz
- Experimental Immunology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | | | - Samuele Notarbartolo
- Istituto Nazionale di Genetica Molecolare Romeo ed Enrica Invernizzi (INGM), Milan, Italy
| | - Lennard Ostendorf
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Laura J. Pallett
- Division of Infection & Immunity, Institute of Immunity & Transplantation, University College London, London, UK
| | - Amit A. Patel
- Institut National de la Sante Et de la Recherce Medicale (INSERM) U1015, Equipe Labellisee-Ligue Nationale contre le Cancer, Villejuif, France
| | - Gulce Itir Percin
- Immunology of Aging, Leibniz Institute on Aging – Fritz Lipmann Institute, Jena, Germany
| | - Giovanna Peruzzi
- Center for Life Nano & Neuro Science@Sapienza, Istituto Italiano di Tecnologia (IIT), Rome, Italy
| | - Marcello Pinti
- Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - A. Graham Pockley
- John van Geest Cancer Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham, UK
- Centre for Health, Ageing and Understanding Disease (CHAUD), School of Science and Technology, Nottingham Trent University, Nottingham, UK
| | - Katharina Pracht
- Division of Molecular Immunology, Nikolaus-Fiebiger-Center, Department of Internal Medicine III, University of Erlangen-Nürnberg, Erlangen, Germany
| | - Immo Prinz
- Institute of Immunology, Hannover Medical School, Hannover, Germany
- Institute of Systems Immunology, Hamburg Center for Translational Immunology (HCTI), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Irma Pujol-Autonell
- National Institute for Health Research (NIHR) Biomedical Research Center (BRC), Guy’s and St Thomas’ NHS Foundation Trust and King’s College London, London, UK
- Peter Gorer Department of Immunobiology, King’s College London, London, UK
| | - Nadia Pulvirenti
- Istituto Nazionale di Genetica Molecolare Romeo ed Enrica Invernizzi (INGM), Milan, Italy
| | - Linda Quatrini
- Department of Immunology, IRCCS Bambino Gesù Children’s Hospital, Rome, Italy
| | - Kylie M. Quinn
- School of Biomedical and Health Sciences, RMIT University, Bundorra, Victoria, Australia
- Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria, Australia
| | - Helena Radbruch
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Hefin Rhys
- Flow Cytometry Science Technology Platform, The Francis Crick Institute, London, UK
| | - Maria B. Rodrigo
- Institute of Molecular Medicine and Experimental Immunology, Faculty of Medicine, University of Bonn, Germany
| | - Chiara Romagnani
- Innate Immunity, German Rheumatism Research Center Berlin (DRFZ), Berlin, Germany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Gastroenterology, Infectious Diseases, Rheumatology, Berlin, Germany
| | - Carina Saggau
- Institute of Immunology, Christian-Albrechts Universität zu Kiel & Universitätsklinik Schleswig-Holstein, Kiel, Germany
| | | | - Federica Sallusto
- Institute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland
- Institute of Microbiology, ETH Zurich, Zurich, Switzerland
| | - Lieke Sanderink
- Regensburg Center for Interventional Immunology (RCI), Regensburg, Germany
- Chair for Immunology, University Regensburg, Regensburg, Germany
| | - Inga Sandrock
- Institute of Immunology, Hannover Medical School, Hannover, Germany
| | - Christine Schauer
- Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Department of Medicine 3 – Rheumatology and Immunology and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum für Immuntherapie, Friedrich-Alexander-University Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Alexander Scheffold
- Institute of Immunology, Christian-Albrechts Universität zu Kiel & Universitätsklinik Schleswig-Holstein, Kiel, Germany
| | - Hans U. Scherer
- Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Matthias Schiemann
- Institut für Medizinische Mikrobiologie, Immunologie und Hygiene, Technische Universität München, Munich, Germany
| | - Frank A. Schildberg
- Clinic for Orthopedics and Trauma Surgery, University Hospital Bonn, Bonn, Germany
| | - Kilian Schober
- Institut für Medizinische Mikrobiologie, Immunologie und Hygiene, Technische Universität München, Munich, Germany
- Mikrobiologisches Institut – Klinische Mikrobiologie, Immunologie und Hygiene, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Germany
| | - Janina Schoen
- Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Department of Medicine 3 – Rheumatology and Immunology and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum für Immuntherapie, Friedrich-Alexander-University Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Wolfgang Schuh
- Division of Molecular Immunology, Nikolaus-Fiebiger-Center, Department of Internal Medicine III, University of Erlangen-Nürnberg, Erlangen, Germany
| | - Thomas Schüler
- Institute of Molecular and Clinical Immunology, Otto-von-Guericke University, Magdeburg, Germany
| | - Axel R. Schulz
- German Rheumatism Research Center Berlin (DRFZ), Berlin, Germany
| | - Sebastian Schulz
- Division of Molecular Immunology, Nikolaus-Fiebiger-Center, Department of Internal Medicine III, University of Erlangen-Nürnberg, Erlangen, Germany
| | - Julia Schulze
- German Rheumatism Research Center Berlin (DRFZ), Berlin, Germany
| | - Sonia Simonetti
- Institute of Molecular Biology and Pathology, National Research Council of Italy (CNR), Rome, Italy
| | - Jeeshan Singh
- Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Department of Medicine 3 – Rheumatology and Immunology and Universitätsklinikum Erlangen, Erlangen, Germany
- Deutsches Zentrum für Immuntherapie, Friedrich-Alexander-University Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Katarzyna M. Sitnik
- Department of Viral Immunology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Regina Stark
- Charité Universitätsmedizin Berlin – BIH Center for Regenerative Therapies, Berlin, Germany
- Sanquin Research – Adaptive Immunity, Amsterdam, The Netherlands
| | - Sarah Starossom
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Christina Stehle
- Innate Immunity, German Rheumatism Research Center Berlin (DRFZ), Berlin, Germany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Gastroenterology, Infectious Diseases, Rheumatology, Berlin, Germany
| | - Franziska Szelinski
- German Rheumatism Research Center Berlin (DRFZ), Berlin, Germany
- Department of Medicine/Rheumatology and Clinical Immunology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Leonard Tan
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research, Singapore, Singapore
- Department of Microbiology & Immunology, Immunology Programme, Life Science Institute, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Attila Tarnok
- Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany
- Department of Precision Instrument, Tsinghua University, Beijing, China
- Department of Preclinical Development and Validation, Fraunhofer Institute for Cell Therapy and Immunology IZI, Leipzig, Germany
| | - Julia Tornack
- German Rheumatism Research Center Berlin (DRFZ), Berlin, Germany
| | - Timothy I. M. Tree
- Peter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King’s College London, UK
- National Institute for Health Research (NIHR) Biomedical Research Center (BRC), Guy’s and St Thomas’ NHS Foundation Trust and King’s College London, London, UK
| | - Jasper J. P. van Beek
- Laboratory of Translational Immunology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Willem van de Veen
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland
| | | | - Chiara Vasco
- Istituto Nazionale di Genetica Molecolare Romeo ed Enrica Invernizzi (INGM), Milan, Italy
| | - Nikita A. Verheyden
- Institute for Molecular Medicine, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Anouk von Borstel
- Infection and Immunity Program, Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
| | - Kirsten A. Ward-Hartstonge
- Department of Surgery, The University of British Columbia, Vancouver, Canada
- BC Children’s Hospital Research Institute, Vancouver, Canada
| | - Klaus Warnatz
- Department of Rheumatology and Clinical Immunology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Center for Chronic Immunodeficiency, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Claudia Waskow
- Immunology of Aging, Leibniz Institute on Aging – Fritz Lipmann Institute, Jena, Germany
- Institute of Biochemistry and Biophysics, Faculty of Biological Sciences, Friedrich-Schiller-University Jena, Jena, Germany
- Department of Medicine III, Technical University Dresden, Dresden, Germany
| | - Annika Wiedemann
- German Rheumatism Research Center Berlin (DRFZ), Berlin, Germany
- Department of Medicine/Rheumatology and Clinical Immunology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Anneke Wilharm
- Institute of Immunology, Hannover Medical School, Hannover, Germany
| | - James Wing
- Immunology Frontier Research Center, Osaka University, Japan
| | - Oliver Wirz
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Jens Wittner
- Division of Molecular Immunology, Nikolaus-Fiebiger-Center, Department of Internal Medicine III, University of Erlangen-Nürnberg, Erlangen, Germany
| | - Jennie H. M. Yang
- Peter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King’s College London, UK
- National Institute for Health Research (NIHR) Biomedical Research Center (BRC), Guy’s and St Thomas’ NHS Foundation Trust and King’s College London, London, UK
| | - Juhao Yang
- Experimental Immunology, Helmholtz Centre for Infection Research, Braunschweig, Germany
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112
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The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires. NAT MACH INTELL 2021. [DOI: 10.1038/s42256-021-00413-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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113
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Serre-Miranda C, Roque S, Barreira-Silva P, Nobrega C, Vieira N, Costa P, Palha JA, Correia-Neves M. Age-related sexual dimorphism on the longitudinal progression of blood immune cells in BALB/cByJ mice. J Gerontol A Biol Sci Med Sci 2021; 77:883-891. [PMID: 34741509 PMCID: PMC9071472 DOI: 10.1093/gerona/glab330] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Indexed: 11/29/2022] Open
Abstract
The study of immune system aging is of relevance, considering its myriad of interactions and role in protecting and maintaining body homeostasis. While mouse models have been extensively used to study immune system aging, little is known on how the main immune populations progress over time and what is the impact of sex. To contribute to filling this gap, male and female BALB/cByJ mice were longitudinally evaluated, from 3 to 18 months old, for the main blood populations, assessed by flow cytometry. Using linear mixed-effect models, we observed that the percentages of neutrophils, monocytes, eosinophils, and total natural killer (NK) cells increase with aging, while those of B cells, T cells (including CD4+ and CD8+ subsets), and Ly6C+ NK cells decrease. Males present higher percentages of neutrophils and classical monocytes Ly6Chigh over time, while females present higher percentages of total T cells, both CD4+ and CD8+, eosinophils, and NK cells. Males and females display similar percentages of B cells, even though with opposite accelerated progressions over time. This study revealed that mouse models recapitulate what is observed in humans during aging: an overall proportional decrease in the adaptive and an increase in the innate immune cells. Additionally, it uncovers an age-related sexual dimorphism in the proportion of immune cells in circulation, further strengthening the need to explore the impact of sex when addressing immune system aging using mouse models.
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Affiliation(s)
- Cláudia Serre-Miranda
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Susana Roque
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Palmira Barreira-Silva
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Claudia Nobrega
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Neide Vieira
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Patrício Costa
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Joana Almeida Palha
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Margarida Correia-Neves
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
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114
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Subtypes of schizophrenia identified by multi-omic measures associated with dysregulated immune function. Mol Psychiatry 2021; 26:6926-6936. [PMID: 34588622 DOI: 10.1038/s41380-021-01308-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 08/08/2021] [Accepted: 09/14/2021] [Indexed: 02/05/2023]
Abstract
Epigenetic modifications are plausible molecular sources of phenotypic heterogeneity across schizophrenia patients. The current study investigated biological heterogeneity in schizophrenia using peripheral epigenetic profiles to delineate illness subtypes independent of their phenomenological manifestations. We applied epigenome-wide profiling with a DNA methylation array from blood samples of 63 schizophrenia patients and 59 healthy controls. Non-negative matrix factorization (NMF) and k-means clustering were performed to identify DNA methylation-related patient subtypes. The validity of the partition was tested by assessing the profile of the T cell receptor (TCR) repertoires. The uniqueness of the identified subtypes in relation to brain structural and clinical measures were evaluated. Two distinct patterns of DNA methylation profiles were identified in patients. One subtype (60.3% of patients) showed relatively limited changes in methylation levels and cell composition compared to controls, while a second subtype (39.7% of patients) exhibited widespread methylation level alterations among genes enriched in immune cell activity, as well as a higher proportion of neutrophils and lower proportion of lymphocytes. Differentiation of the two patient subtypes was validated by TCR repertoires, which paralleled the partition based on DNA methylation profiles. The subtype with widespread methylation modifications had higher symptom severity, performed worse on cognitive measures, and displayed greater reductions in fractional anisotropy of white matter tracts and evidence of gray matter thickening compared to the other subtype. Identification of a distinct subtype of schizophrenia with unique molecular, cerebral, and clinical features provide a novel parcellation of the schizophrenia syndrome with potential to guide development of individualized therapeutics.
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115
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Age-related changes in the TRB and IGH repertoires in healthy adult males and females. Immunol Lett 2021; 240:71-76. [PMID: 34666136 DOI: 10.1016/j.imlet.2021.10.002] [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: 07/04/2021] [Revised: 09/27/2021] [Accepted: 10/08/2021] [Indexed: 11/22/2022]
Abstract
A diverse immune repertoire is capable of recognizing the enormous universe of foreign antigens encountered over life. Aging has a profound impact on the immune repertoires. However, whether continuous age-related changes in the immune repertoires differ between sexes is unclear. In this study, the characteristics of immune repertoires stratified by sex during aging are deciphered by analyzing T-cell receptor β-chain (TRB) and immunoglobulin heavy chain (IGH) sequences in 361 healthy adults. A similar change was observed between males and females across their lifespan, whereas age-subgroup analysis revealed sex-specific signatures in TRB and IGH repertoires. In regard to TRB, in males, repertoire richness and evenness increases slightly before the age of 32 years and 45 years respectively, and decreases sharply thereafter. Intriguingly, in females, they decrease significantly until around the age 57 years old, and subsequently undergo a stable stage up to the age of 83 years. Although IGH repertoire evenness increases significantly with age in both sexes, richness decreases significantly with age in males but remains stable in females. Moreover, average length of IGH CDR3 increases with age. In conclusion, these findings provide fundamental insights into the mechanisms underlying sex differences in adaptive immunity.
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116
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Milighetti M, Shawe-Taylor J, Chain B. Predicting T Cell Receptor Antigen Specificity From Structural Features Derived From Homology Models of Receptor-Peptide-Major Histocompatibility Complexes. Front Physiol 2021; 12:730908. [PMID: 34566692 PMCID: PMC8456106 DOI: 10.3389/fphys.2021.730908] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 08/02/2021] [Indexed: 11/13/2022] Open
Abstract
The physical interaction between the T cell receptor (TCR) and its cognate antigen causes T cells to activate and participate in the immune response. Understanding this physical interaction is important in predicting TCR binding to a target epitope, as well as potential cross-reactivity. Here, we propose a way of collecting informative features of the binding interface from homology models of T cell receptor-peptide-major histocompatibility complex (TCR-pMHC) complexes. The information collected from these structures is sufficient to discriminate binding from non-binding TCR-pMHC pairs in multiple independent datasets. The classifier is limited by the number of crystal structures available for the homology modelling and by the size of the training set. However, the classifier shows comparable performance to sequence-based classifiers requiring much larger training sets.
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Affiliation(s)
- Martina Milighetti
- Division of Infection and Immunity, University College London, London, United Kingdom
- Cancer Institute, University College London, London, United Kingdom
| | - John Shawe-Taylor
- Department of Computer Science, University College London, London, United Kingdom
| | - Benny Chain
- Division of Infection and Immunity, University College London, London, United Kingdom
- Department of Computer Science, University College London, London, United Kingdom
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117
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Bartleson JM, Radenkovic D, Covarrubias AJ, Furman D, Winer DA, Verdin E. SARS-CoV-2, COVID-19 and the Ageing Immune System. NATURE AGING 2021; 1:769-782. [PMID: 34746804 PMCID: PMC8570568 DOI: 10.1038/s43587-021-00114-7] [Citation(s) in RCA: 188] [Impact Index Per Article: 62.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 08/02/2021] [Indexed: 02/06/2023]
Abstract
The coronavirus disease 2019 (COVID-19) pandemic is a global health threat with particular risk for severe disease and death in older adults and in adults with age-related metabolic and cardiovascular disease. Recent advances in the science of ageing have highlighted how ageing pathways control not only lifespan but also healthspan, the healthy years of life. Here, we discuss the ageing immune system and its ability to respond to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We specifically focus on the intersect of severe COVID-19 and immunosenescence to highlight pathways that may be determinant for the risk of complications and death following infection with SARS-CoV-2. New or adapted therapeutics that target ageing-associated pathways may be important tools to reduce the burden of death and long-term disability caused by this pandemic. Proposed interventions aimed at immunosenescence could enhance immune function not only in the elderly but in susceptible younger individuals as well, ultimately improving complications of severe COVID-19 for all ages.
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Affiliation(s)
| | - Dina Radenkovic
- Faculty of Life Sciences and Medicine, King's College London, London, UK
- Hooke, Health, Longevity Optimisation, London, UK
| | - Anthony J Covarrubias
- Department of Microbiology, Immunology and Molecular Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
- Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - David Furman
- Buck Institute for Research on Aging, Novato, CA, USA
| | | | - Eric Verdin
- Buck Institute for Research on Aging, Novato, CA, USA.
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118
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Johnson SA, Seale SL, Gittelman RM, Rytlewski JA, Robins HS, Fields PA. Impact of HLA type, age and chronic viral infection on peripheral T-cell receptor sharing between unrelated individuals. PLoS One 2021; 16:e0249484. [PMID: 34460826 PMCID: PMC8405014 DOI: 10.1371/journal.pone.0249484] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 07/29/2021] [Indexed: 11/19/2022] Open
Abstract
The human adaptive immune system must generate extraordinary diversity to be able to respond to all possible pathogens. The T-cell repertoire derives this high diversity through somatic recombination of the T-cell receptor (TCR) locus, a random process that results in repertoires that are largely private to each individual. However, factors such as thymic selection and T-cell proliferation upon antigen exposure can affect TCR sharing among individuals. By immunosequencing the TCRβ variable region of 426 healthy individuals, we find that, on average, fewer than 1% of TCRβ clones are shared between individuals, consistent with largely private TCRβ repertoires. However, we detect a significant correlation between increased HLA allele sharing and increased number of shared TCRβ clones, with each additional shared HLA allele contributing to an increase in ~0.01% of the total shared TCRβ clones, supporting a key role for HLA type in shaping the immune repertoire. Surprisingly, we find that shared antigen exposure to CMV leads to fewer shared TCRβ clones, even after controlling for HLA, indicative of a largely private response to major viral antigenic exposure. Consistent with this hypothesis, we find that increased age is correlated with decreased overall TCRβ clone sharing, indicating that the pattern of private TCRβ clonal expansion is a general feature of the T-cell response to other infectious antigens as well. However, increased age also correlates with increased sharing among the lowest frequency clones, consistent with decreased repertoire diversity in older individuals. Together, all of these factors contribute to shaping the TCRβ repertoire, and understanding their interplay has important implications for the use of T cells for therapeutics and diagnostics.
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Affiliation(s)
- Sarah A. Johnson
- Adaptive Biotechnologies, Seattle, Washington, United States of America
| | - Spencer L. Seale
- Adaptive Biotechnologies, Seattle, Washington, United States of America
| | | | | | - Harlan S. Robins
- Adaptive Biotechnologies, Seattle, Washington, United States of America
| | - Paul A. Fields
- Adaptive Biotechnologies, Seattle, Washington, United States of America
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119
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Erbe R, Wang Z, Wu S, Xiu J, Zaidi N, La J, Tuck D, Fillmore N, Giraldo NA, Topper M, Baylin S, Lippman M, Isaacs C, Basho R, Serebriiskii I, Lenz HJ, Astsaturov I, Marshall J, Taverna J, Lee J, Jaffee EM, Roussos Torres ET, Weeraratna A, Easwaran H, Fertig EJ. Evaluating the impact of age on immune checkpoint therapy biomarkers. Cell Rep 2021; 36:109599. [PMID: 34433020 PMCID: PMC8757482 DOI: 10.1016/j.celrep.2021.109599] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 07/01/2021] [Accepted: 08/03/2021] [Indexed: 12/19/2022] Open
Abstract
Both tumors and aging alter the immune landscape of tissues. These interactions may play an important role in tumor progression among elderly patients and may suggest considerations for patient care. We leverage large-scale genomic and clinical databases to perform comprehensive comparative analysis of molecular and cellular markers of immune checkpoint blockade (ICB) response with patient age. These analyses demonstrate that aging is associated with increased tumor mutational burden, increased expression and decreased promoter methylation of immune checkpoint genes, and increased interferon gamma signaling in older patients in many cancer types studied, all of which are expected to promote ICB efficacy. Concurrently, we observe age-related alterations that might be expected to reduce ICB efficacy, such as decreases in T cell receptor diversity. Altogether, these changes suggest the capacity for robust ICB response in many older patients, which may warrant large-scale prospective study on ICB therapies among patients of advanced age.
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Affiliation(s)
- Rossin Erbe
- McKusick-Nathans Institute of the Department of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Zheyu Wang
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Sharon Wu
- Caris Life Sciences, Irving, TX, USA
| | | | - Neeha Zaidi
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Jennifer La
- VA Boston Healthcare System, Boston, MA, USA
| | - David Tuck
- VA Boston Healthcare System, Boston, MA, USA
| | | | - Nicolas A Giraldo
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Michael Topper
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Stephen Baylin
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Marc Lippman
- Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA
| | - Claudine Isaacs
- Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA
| | - Reva Basho
- Cedars-Sinai Medical Center, Samuel Oschin Comprehensive Cancer Institute, 8700 Beverly Boulevard, #AC-1046A, Los Angeles, CA 90048, USA
| | | | - Heinz-Josef Lenz
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - John Marshall
- Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA
| | - Josephine Taverna
- Division of Hematology and Oncology, Department of Medicine, University of Texas Health Science Center, San Antonio, TX, USA
| | - Jerry Lee
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Elizabeth M Jaffee
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | | | - Ashani Weeraratna
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Biochemistry and Molecular Biology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Hariharan Easwaran
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Elana J Fertig
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Applied Mathematics and Statistics, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins Bloomberg School of Medicine, Baltimore, MD, USA.
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120
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Liu H, Pan W, Tang C, Tang Y, Wu H, Yoshimura A, Deng Y, He N, Li S. The methods and advances of adaptive immune receptors repertoire sequencing. Theranostics 2021; 11:8945-8963. [PMID: 34522220 PMCID: PMC8419057 DOI: 10.7150/thno.61390] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 06/09/2021] [Indexed: 12/13/2022] Open
Abstract
The adaptive immune response is a powerful tool, capable of recognizing, binding to, and neutralizing a vast number of internal and external threats via T or B lymphatic receptors with widespread sets of antigen specificities. The emergence of high-throughput sequencing technology and bioinformatics provides opportunities for research in the fields of life sciences and medicine. The analysis and annotation for immune repertoire data can reveal biologically meaningful information, including immune prediction, target antigens, and effective evaluation. Continuous improvements of the immunological repertoire sequencing methods and analysis tools will help to minimize the experimental and calculation errors and realize the immunological information to meet the clinical requirements. That said, the clinical application of adaptive immune repertoire sequencing requires appropriate experimental methods and standard analytical tools. At the population cell level, we can acquire the overview of cell groups, but the information about a single cell is not obtained accurately. The information that is ignored may be crucial for understanding the heterogeneity of each cell, gene expression and drug response. The combination of high-throughput sequencing and single-cell technology allows us to obtain single-cell information with low-cost and high-throughput. In this review, we summarized the current methods and progress in this area.
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Affiliation(s)
- Hongmei Liu
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China
| | - Wenjing Pan
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China
| | - Congli Tang
- State Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, China
| | - Yujie Tang
- State Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, China
| | - Haijing Wu
- Department of Dermatology, Second Xiangya Hospital, Central South University, Hu-nan Key Laboratory of Medical Epigenomics, Changsha, Hunan, China
| | - Akihiko Yoshimura
- Department of Microbiology and Immunology, Keio University School of Medicine, Tokyo, Japan
| | - Yan Deng
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China
| | - Nongyue He
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China
- State Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, China
| | - Song Li
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China
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T-Cell Responses in Merkel Cell Carcinoma: Implications for Improved Immune Checkpoint Blockade and Other Therapeutic Options. Int J Mol Sci 2021; 22:ijms22168679. [PMID: 34445385 PMCID: PMC8395396 DOI: 10.3390/ijms22168679] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 08/02/2021] [Accepted: 08/05/2021] [Indexed: 02/06/2023] Open
Abstract
Merkel cell carcinoma (MCC) is a rare and aggressive skin cancer with rising incidence and high mortality. Approximately 80% of the cases are caused by the human Merkel cell polyomavirus, while the remaining 20% are induced by UV light leading to mutations. The standard treatment of metastatic MCC is the use of anti-PD-1/-PD-L1-immune checkpoint inhibitors (ICI) such as Pembrolizumab or Avelumab, which in comparison with conventional chemotherapy show better overall response rates and longer duration of responses in patients. Nevertheless, 50% of the patients do not respond or develop ICI-induced, immune-related adverse events (irAEs), due to diverse mechanisms, such as down-regulation of MHC complexes or the induction of anti-inflammatory cytokines. Other immunotherapeutic options such as cytokines and pro-inflammatory agents or the use of therapeutic vaccination offer great ameliorations to ICI. Cytotoxic T-cells play a major role in the effectiveness of ICI, and tumour-infiltrating CD8+ T-cells and their phenotype contribute to the clinical outcome. This literature review presents a summary of current and future checkpoint inhibitor therapies in MCC and demonstrates alternative therapeutic options. Moreover, the importance of T-cell responses and their beneficial role in MCC treatment is discussed.
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Zhang Y, Zhu Y, Wang J, Xu Y, Wang Z, Liu Y, Di X, Feng L, Zhang Y. A comprehensive model based on temporal dynamics of peripheral T cell repertoire for predicting post-treatment distant metastasis of nasopharyngeal carcinoma. Cancer Immunol Immunother 2021; 71:675-688. [PMID: 34342668 DOI: 10.1007/s00262-021-03016-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Accepted: 07/08/2021] [Indexed: 02/07/2023]
Abstract
Many nasopharyngeal carcinoma (NPC) patients develop distant metastases after treatment, leading to poor outcomes. To date, there are no peripheral biomarkers suitable for all NPC patients to predict distant metastasis. Hence, we purposed to develop a noninvasive comprehensive model for predicting post-treatment distant metastasis of all NPC. Since T-cell receptor β chain (TCRB) repertoire has achieved prognostic prediction in many cancers, the clinical characteristics and parameters of TCRB repertoire of 71 cases of peripheral blood samples (pairwise pre-treatment and post-treatment samples from 40 NPC patients who without (nM, n = 21) or with (M, n = 19) post-treatment distant metastasis) were collected. The least absolute shrinkage and selection operator algorithm was used to construct a distant metastasis prediction model. In terms of TCRB repertoire parameters, the diversity of TCRB repertoire was significantly decreased in M group after treatment but not in nM group. Ascending TCRB diversity and higher similarity between pre- and post-treatment samples showed better distant metastasis-free survival (DMFS). The similarity still had robust DMFS prediction in patients with reduced TCRB diversity. More importantly, the 5-factor comprehensive model consisting of basic clinical characteristics and TCRB repertoire indices showed a higher prognostic accuracy than any one individual factor in DMFS predicting. In conclusion, treatment had different effects on the composition of TCRB repertoire in patients without and with post-treatment distant metastasis. The dynamics of TCRB diversity, the similarity of TCRB repertoires, and combinations of these factors with basic clinical characteristics could serve as noninvasive DMFS predictors for all NPC patients.
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Affiliation(s)
- Yajing Zhang
- State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yujie Zhu
- Department of Blood Transfusion, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jiaqi Wang
- State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yi Xu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, China
| | - Zekun Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, China
| | - Yang Liu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, China
| | - Xuebing Di
- State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lin Feng
- State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Ye Zhang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, China.
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Galindo-Albarrán A, Castan S, Santamaria JC, Joffre OP, Haegeman B, Romagnoli P, van Meerwijk JPM. The Repertoire of Newly Developing Regulatory T Cells in the Type 1 Diabetes-Prone NOD Mouse Is Very Diverse. Diabetes 2021; 70:1729-1737. [PMID: 34035042 DOI: 10.2337/db20-1072] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Accepted: 05/17/2021] [Indexed: 11/13/2022]
Abstract
Regulatory T lymphocytes expressing the forkhead/winged helix transcription factor Foxp3 (Treg) play a vital role in the protection of the organism from autoimmune disease and other immunopathologies. The antigen specificity of Treg plays an important role in their in vivo activity. We therefore assessed the diversity of the T-cell receptors (TCRs) for antigen expressed by Treg newly developed in the thymus of autoimmune type 1 diabetes-prone NOD mice and compared it to the control mouse strain C57BL/6. Our results demonstrate that use of the TCRα and TCRβ variable (V) and joining (J) segments, length of the complementarity determining region (CDR) 3, and the diversity of the TCRα and TCRβ chains are comparable between NOD and C57BL/6 mice. Genetic defects affecting the diversity of the TCR expressed by newly developed Treg therefore do not appear to be involved in the etiology of type 1 diabetes in the NOD mouse.
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MESH Headings
- Animals
- Diabetes Mellitus, Type 1/genetics
- Diabetes Mellitus, Type 1/immunology
- Diabetes Mellitus, Type 1/pathology
- Mice
- Mice, Inbred C57BL
- Mice, Inbred NOD
- Mice, Transgenic
- Receptors, Antigen, T-Cell/genetics
- T-Lymphocytes, Regulatory/immunology
- T-Lymphocytes, Regulatory/pathology
- Thymus Gland/immunology
- Thymus Gland/pathology
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Affiliation(s)
- Ariel Galindo-Albarrán
- Toulouse Institute for Infectious and Inflammatory Diseases (Infinity), INSERM UMR1291-CNRS UMR5051-Université Paul Sabatier (UPS), Toulouse, France
- Station d'Écologie Théorique et Expérimentale, CNRS-Université Paul Sabatier (UPS), Moulis, France
| | - Sarah Castan
- Toulouse Institute for Infectious and Inflammatory Diseases (Infinity), INSERM UMR1291-CNRS UMR5051-Université Paul Sabatier (UPS), Toulouse, France
| | - Jérémy C Santamaria
- Toulouse Institute for Infectious and Inflammatory Diseases (Infinity), INSERM UMR1291-CNRS UMR5051-Université Paul Sabatier (UPS), Toulouse, France
| | - Olivier P Joffre
- Toulouse Institute for Infectious and Inflammatory Diseases (Infinity), INSERM UMR1291-CNRS UMR5051-Université Paul Sabatier (UPS), Toulouse, France
| | - Bart Haegeman
- Station d'Écologie Théorique et Expérimentale, CNRS-Université Paul Sabatier (UPS), Moulis, France
| | - Paola Romagnoli
- Toulouse Institute for Infectious and Inflammatory Diseases (Infinity), INSERM UMR1291-CNRS UMR5051-Université Paul Sabatier (UPS), Toulouse, France
| | - Joost P M van Meerwijk
- Toulouse Institute for Infectious and Inflammatory Diseases (Infinity), INSERM UMR1291-CNRS UMR5051-Université Paul Sabatier (UPS), Toulouse, France
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124
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Shevyrev D, Tereshchenko V, Kozlov V. Immune Equilibrium Depends on the Interaction Between Recognition and Presentation Landscapes. Front Immunol 2021; 12:706136. [PMID: 34394106 PMCID: PMC8362327 DOI: 10.3389/fimmu.2021.706136] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 07/12/2021] [Indexed: 12/15/2022] Open
Abstract
In this review, we described the structure and organization of antigen-recognizing repertoires of B and T cells from the standpoint of modern immunology. We summarized the latest advances in bioinformatics analysis of sequencing data from T and B cell repertoires and also presented contemporary ideas about the mechanisms of clonal diversity formation at different stages of organism development. At the same time, we focused on the importance of the allelic variants of the HLA genes and spectra of presented antigens for the formation of T-cell receptors (TCR) landscapes. The main idea of this review is that immune equilibrium and proper functioning of immunity are highly dependent on the interaction between the recognition and the presentation landscapes of antigens. Certain changes in these landscapes can occur during life, which can affect the protective function of adaptive immunity. We described some mechanisms associated with these changes, for example, the conversion of effector cells into regulatory cells and vice versa due to the trans-differentiation or bystander effect, changes in the clonal organization of the general TCR repertoire due to homeostatic proliferation or aging, and the background for the altered presentation of some antigens due to SNP mutations of MHC, or the alteration of the presenting antigens due to post-translational modifications. The authors suggest that such alterations can lead to an increase in the risk of the development of oncological and autoimmune diseases and influence the sensitivity of the organism to different infectious agents.
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Affiliation(s)
- Daniil Shevyrev
- Laboratory of Clinical Immunopathology, Research Institute for Fundamental and Clinical Immunology, Novosibirsk, Russia
| | - Valeriy Tereshchenko
- Laboratory of Molecular Immunology, Research Institute for Fundamental and Clinical Immunology, Novosibirsk, Russia
| | - Vladimir Kozlov
- Laboratory of Clinical Immunopathology, Research Institute for Fundamental and Clinical Immunology, Novosibirsk, Russia
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Foord E, Arruda LCM, Gaballa A, Klynning C, Uhlin M. Characterization of ascites- and tumor-infiltrating γδ T cells reveals distinct repertoires and a beneficial role in ovarian cancer. Sci Transl Med 2021; 13:13/577/eabb0192. [PMID: 33472952 DOI: 10.1126/scitranslmed.abb0192] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 09/15/2020] [Accepted: 12/16/2020] [Indexed: 12/18/2022]
Abstract
The role of γδ T cells in antitumor immunity has been under investigation for the past two decades, but little is known about their contribution to clinical outcomes in patients. Here, we set out to define the clonotypic, phenotypic, and functional features of γδ T cells in peripheral blood, ascites, and metastatic tumor tissue from patients with advanced epithelial ovarian cancer. T cell receptor (TCR) sequencing of the γ chain revealed that tumor-infiltrating γδ T cells have a unique and skewed repertoire with high TCR diversity and low clonality. In contrast, ascites-derived γδ T cells presented a lower TCR diversity and higher clonality, suggesting a TCR-dependent clonal focusing at this site. Further investigation showed that tumor samples had abundant γδ T cells with a tissue-resident, activation-associated phenotype, less usage of Vγ9 and an impaired response to adaptive-associated stimuli, implying an innate-like activation pathway, rather than an adaptive TCR-engaging pathway, at these tumor sites. Furthermore, high γδ T cell cytokine responsiveness upon stimulation was associated with a favorable outcome for patients in terms of both overall survival and reduced residual tumor burden after primary surgery. Last, the functionality of γδ T cells and patient survival were negatively affected by the proportions of CD39-expressing T cells, highlighting the potential of CD39 as a target to improve γδ T cell responses and unleash their antitumor capabilities.
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Affiliation(s)
- Emelie Foord
- Department of Clinical Science, Intervention and Technology, Karolinska Institutet, 171 77 Stockholm, Sweden.
| | - Lucas C M Arruda
- Department of Clinical Science, Intervention and Technology, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Ahmed Gaballa
- Department of Clinical Science, Intervention and Technology, Karolinska Institutet, 171 77 Stockholm, Sweden.,Department of Clinical Biochemistry, National Liver Institute, Menoufia University, 511 32 Shebin Elkom, Egypt
| | - Charlotte Klynning
- Department of Gynecological Oncology, Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Michael Uhlin
- Department of Clinical Science, Intervention and Technology, Karolinska Institutet, 171 77 Stockholm, Sweden.,Department of Clinical Immunology and Transfusion Medicine, Karolinska University Hospital, 141 86 Stockholm, Sweden.,Department of Applied Physics, Royal Institute of Technology, 100 44 Stockholm, Sweden
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126
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Sheng J, Wang H, Liu X, Deng Y, Yu Y, Xu P, Shou J, Pan H, Li H, Zhou X, Han W, Sun T, Pan H, Fang Y. Deep Sequencing of T-Cell Receptors for Monitoring Peripheral CD8 + T Cells in Chinese Advanced Non-Small-Cell Lung Cancer Patients Treated With the Anti-PD-L1 Antibody. Front Mol Biosci 2021; 8:679130. [PMID: 34307450 PMCID: PMC8299707 DOI: 10.3389/fmolb.2021.679130] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 06/08/2021] [Indexed: 12/29/2022] Open
Abstract
Background: Atezolizumab, a high-affinity engineered human anti-PD-L1 antibody, has produced a clinical benefit for patients with advanced non-small-cell lung cancer (NSCLC). However, associated with T-cell regulation, the immunomodulatory effect of PD-L1 blockade and its biomarker in peripheral immunity remains elusive. Methods: In a prospective cohort with 12 Chinese advanced NSCLC patients who received atezolizumab 1,200 mg every 3 weeks as a second-line treatment, blood samples were obtained before and 6 weeks after atezolizumab initiation, and when disease progression was confirmed. Patients were classified into a response or progression group according to response evaluation criteria in solid tumors (RECIST) 1.1. Fresh peripheral blood mononuclear cells (PBMCs) from patients were stained with antihuman CD3, CD8, and PD-1 antibodies for flow cytometry analysis. T-cell receptor (TCR)-β chains of CD8+ T cells were analyzed by next-generation sequencing (NGS) at the deep level. Diversity, clonality, and similarity of TCR have been calculated before and after treatment in both groups. Results: Clonal expansion with high PD-1 expression was detected in all patients' peripheral CD8+ T cells before the treatment of atezolizumab. Unlike the progression group, the diversity of TCR repertoire and singletons in the TCRβ pool increased over time with atezolizumab administration, and the TCR repertoire dynamically changes in the response group. The percentage of CD8+ PD-1high terminal exhausted T cells declined in the response group after the PD-L1 blockade. Two patterns of TCR changes among patients who received PD-L1-targeted immunotherapy were observed. Conclusions: Deep sequencing of the T-cell receptors confirmed the existence of CD8+ PD-1high T cells with an exhaustion phenotype in Chinese NSCLC patients. Our study demonstrated that efficient anti-PD-L1 therapy could reshape the TCR repertoire for antitumor patients. Furthermore, singleton frequency may help us select patients who are sensitive to anti-PD-L1 immunotherapy.
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Affiliation(s)
- Jin Sheng
- Department of Medical Oncology, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.,Laboratory of Cancer Biology, Institute of Clinical Science, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China
| | - Huadi Wang
- Department of Medical Oncology, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.,Laboratory of Cancer Biology, Institute of Clinical Science, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China
| | - Xiao Liu
- Department of Human Genetics, University of Chicago, Chicago, IL, United States
| | - Yunyun Deng
- Hangzhou ImmuQuad Biotechnologies, LLC, Hangzhou, China
| | - Yingying Yu
- Hangzhou ImmuQuad Biotechnologies, LLC, Hangzhou, China
| | - Pengfei Xu
- Hangzhou ImmuQuad Biotechnologies, LLC, Hangzhou, China
| | - Jiawei Shou
- Department of Medical Oncology, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.,Laboratory of Cancer Biology, Institute of Clinical Science, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China
| | - Hong Pan
- Department of Medical Oncology, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.,Laboratory of Cancer Biology, Institute of Clinical Science, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China
| | - Hongsen Li
- Department of Medical Oncology, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.,Laboratory of Cancer Biology, Institute of Clinical Science, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China
| | - Xiaoyun Zhou
- Department of Medical Oncology, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China
| | - Weidong Han
- Department of Medical Oncology, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.,Laboratory of Cancer Biology, Institute of Clinical Science, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China
| | - Tao Sun
- Hangzhou ImmuQuad Biotechnologies, LLC, Hangzhou, China.,Zhejiang-California International Nano-Systems Institute, Zhejiang University, Hangzhou, China
| | - Hongming Pan
- Department of Medical Oncology, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China
| | - Yong Fang
- Department of Medical Oncology, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China
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Royston L, Isnard S, Lin J, Routy JP. Cytomegalovirus as an Uninvited Guest in the Response to Vaccines in People Living with HIV. Viruses 2021; 13:v13071266. [PMID: 34209711 PMCID: PMC8309982 DOI: 10.3390/v13071266] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 06/15/2021] [Accepted: 06/21/2021] [Indexed: 12/13/2022] Open
Abstract
In stark contrast to the rapid development of vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), an effective human immunodeficiency virus (HIV) vaccine is still lacking. Furthermore, despite virologic suppression and CD4 T-cell count normalization with antiretroviral therapy (ART), people living with HIV (PLWH) still exhibit increased morbidity and mortality compared to the general population. Such differences in health outcomes are related to higher risk behaviors, but also to HIV-related immune activation and viral coinfections. Among these coinfections, cytomegalovirus (CMV) latent infection is a well-known inducer of long-term immune dysregulation. Cytomegalovirus contributes to the persistent immune activation in PLWH receiving ART by directly skewing immune response toward itself, and by increasing immune activation through modification of the gut microbiota and microbial translocation. In addition, through induction of immunosenescence, CMV has been associated with a decreased response to infections and vaccines. This review provides a comprehensive overview of the influence of CMV on the immune system, the mechanisms underlying a reduced response to vaccines, and discuss new therapeutic advances targeting CMV that could be used to improve vaccine response in PLWH.
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Affiliation(s)
- Léna Royston
- Infectious Diseases and Immunity in Global Health Program, Research Institute, McGill University Health Centre, Montréal, QC H4A 3J1, Canada; (L.R.); (S.I.); (J.L.)
- Chronic Viral Illness Service, McGill University Health Centre, Montréal, QC H4A 3J1, Canada
- Canadian Institutes of Health Research, Canadian HIV Trials Network, Vancouver, BC V6Z 1Y6, Canada
| | - Stéphane Isnard
- Infectious Diseases and Immunity in Global Health Program, Research Institute, McGill University Health Centre, Montréal, QC H4A 3J1, Canada; (L.R.); (S.I.); (J.L.)
- Chronic Viral Illness Service, McGill University Health Centre, Montréal, QC H4A 3J1, Canada
- Canadian Institutes of Health Research, Canadian HIV Trials Network, Vancouver, BC V6Z 1Y6, Canada
| | - John Lin
- Infectious Diseases and Immunity in Global Health Program, Research Institute, McGill University Health Centre, Montréal, QC H4A 3J1, Canada; (L.R.); (S.I.); (J.L.)
- Chronic Viral Illness Service, McGill University Health Centre, Montréal, QC H4A 3J1, Canada
| | - Jean-Pierre Routy
- Infectious Diseases and Immunity in Global Health Program, Research Institute, McGill University Health Centre, Montréal, QC H4A 3J1, Canada; (L.R.); (S.I.); (J.L.)
- Chronic Viral Illness Service, McGill University Health Centre, Montréal, QC H4A 3J1, Canada
- Division of Hematology, McGill University Health Centre, Montréal, QC H4A 3J1, Canada
- Correspondence:
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128
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Burn OK, Pankhurst TE, Painter GF, Connor LM, Hermans IF. Harnessing NKT cells for vaccination. OXFORD OPEN IMMUNOLOGY 2021; 2:iqab013. [PMID: 36845569 PMCID: PMC9914585 DOI: 10.1093/oxfimm/iqab013] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 06/09/2021] [Accepted: 06/11/2021] [Indexed: 11/14/2022] Open
Abstract
Natural killer T (NKT) cells are innate-like T cells capable of enhancing both innate and adaptive immune responses. When NKT cells are stimulated in close temporal association with co-administered antigens, strong antigen-specific immune responses can be induced, prompting the study of NKT cell agonists as novel immune adjuvants. This activity has been attributed to the capacity of activated NKT cells to act as universal helper cells, with the ability to provide molecular signals to dendritic cells and B cells that facilitate T cell and antibody responses, respectively. These signals can override the requirement for conventional CD4+ T cell help, so that vaccines can be designed without need to consider CD4+ T cell repertoire and major histocompatibility complex Class II diversity. Animal studies have highlighted some drawbacks of the approach, namely, concerns around induction of NKT cell hyporesponsiveness, which may limit vaccine boosting, and potential for toxicity. Here we highlight studies that suggest these obstacles can be overcome by targeted delivery in vivo. We also feature new studies that suggest activating NKT cells can help encourage differentiation of T cells into tissue-resident memory cells that play an important role in prophylaxis against infection, and may be required in cancer therapy.
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Affiliation(s)
- Olivia K Burn
- Malaghan Institute of Medical Research, PO Box 7060, Wellington 6042, New Zealand
| | - Theresa E Pankhurst
- The School of Biological Sciences, Victoria University of Wellington, PO Box 600, Wellington 6140, New Zealand
| | - Gavin F Painter
- The Ferrier Research Institute, Victoria University of Wellington, PO Box 33436, Petone 5046, New Zealand,Maurice Wilkins Centre for Molecular Biodiscovery, The University of Auckland, Private Bag 92019, Auckland, New Zealand
| | - Lisa M Connor
- Malaghan Institute of Medical Research, PO Box 7060, Wellington 6042, New Zealand,The School of Biological Sciences, Victoria University of Wellington, PO Box 600, Wellington 6140, New Zealand
| | - Ian F Hermans
- Malaghan Institute of Medical Research, PO Box 7060, Wellington 6042, New Zealand,Maurice Wilkins Centre for Molecular Biodiscovery, The University of Auckland, Private Bag 92019, Auckland, New Zealand,Correspondence address. Malaghan Institute of Medical Research, Wellington, New Zealand. Tel: +64 4 4996914; E-mail: (I.F.H.)
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Abstract
Immunotherapy has revolutionized cancer treatment, but efficacy remains limited in most clinical settings. Cancer is a systemic disease that induces many functional and compositional changes to the immune system as a whole. Immunity is regulated by interactions of diverse cell lineages across tissues. Therefore, an improved understanding of tumour immunology must assess the systemic immune landscape beyond the tumour microenvironment (TME). Importantly, the peripheral immune system is required to drive effective natural and therapeutically induced antitumour immune responses. In fact, emerging evidence suggests that immunotherapy drives new immune responses rather than the reinvigoration of pre-existing immune responses. However, new immune responses in individuals burdened with tumours are compromised even beyond the TME. Herein, we aim to comprehensively outline the current knowledge of systemic immunity in cancer.
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Affiliation(s)
- Kamir J Hiam-Galvez
- Department of Otolaryngology - Head and Neck Surgery, University of California, San Francisco, San Francisco, CA, USA
- Department of Microbiology & Immunology, University of California, San Francisco, San Francisco, CA, USA
- Graduate Program in Biomedical Sciences, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, San Francisco, CA, USA
| | - Breanna M Allen
- Department of Otolaryngology - Head and Neck Surgery, University of California, San Francisco, San Francisco, CA, USA
- Department of Microbiology & Immunology, University of California, San Francisco, San Francisco, CA, USA
- Graduate Program in Biomedical Sciences, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, San Francisco, CA, USA
| | - Matthew H Spitzer
- Department of Otolaryngology - Head and Neck Surgery, University of California, San Francisco, San Francisco, CA, USA.
- Department of Microbiology & Immunology, University of California, San Francisco, San Francisco, CA, USA.
- Graduate Program in Biomedical Sciences, University of California, San Francisco, San Francisco, CA, USA.
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA.
- Chan Zuckerberg Biohub, San Francisco, San Francisco, CA, USA.
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130
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Senescent T cells: a potential biomarker and target for cancer therapy. EBioMedicine 2021; 68:103409. [PMID: 34049248 PMCID: PMC8170103 DOI: 10.1016/j.ebiom.2021.103409] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 04/09/2021] [Accepted: 05/06/2021] [Indexed: 12/27/2022] Open
Abstract
The failure of T cells to eradicate tumour cells in the tumour microenvironment is mainly due to the dysfunction of T cells. Senescent T cells, with defects in proliferation and effector functions, accumulate in ageing, chronic viral infections, and autoimmune disorders where antigen stimulation persists. Increasing evidence suggests that inducing T cell senescence is a key strategy used by malignant tumours to evade immune surveillance. In this review, we summarize the general features, functional regulation, and signalling network of senescent T cells in tumour development and highlight their potential as prognostic biomarkers in multiple cancer treatments, including chemotherapy, radiotherapy, and immunotherapy. Moreover, we discuss possible therapeutic strategies for preventing or rejuvenating senescence in tumour-specific T cells. Understanding these critical issues may provide novel strategies to enhance cancer immunotherapy.
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131
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Huang X, Tian T, Zhang Y, Zhou S, Hu P, Zhang J. Age-Associated Changes in Adverse Events Arising From Anti-PD-(L)1 Therapy. Front Oncol 2021; 11:619385. [PMID: 34055598 PMCID: PMC8155669 DOI: 10.3389/fonc.2021.619385] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 04/26/2021] [Indexed: 11/13/2022] Open
Abstract
Background Immune-related adverse events (irAEs) may complicate the immune checkpoint inhibition (ICI) therapy. The effect of age on these irAEs is not elucidated. The aim of the study was to compare the occurrence of irAEs in different age groups. Methods Patients with lung cancer receiving anti-programmed death- (ligand)1 (PD-(L)1) were selected from the US Food and Drug Administration Adverse Event Reporting System (FAERS) database. Immune cell infiltration data set was obtained from TIMER 2.0 web server. The patients were stratified for age as follows: <65 year-old (young patients, YP), 65 to 75 year-old (middle aged patients, MP), ≥75 year-old (old patients, OP). The severity of irAEs was compared using logistic binary regression model. The distribution differences of immune cell infiltration were estimated using non-parametric tests. Results Of all the 17,006 patients treated by anti-PD-(L)1, 7,355 were <65 (YP), 6,706 were 65–75 (MP), and 2,945 were ≥75 (OP). In general, we analyzed a total of 16 irAEs in this article and found that pulmonary toxicity was more frequent in OP (OP vs. YP: OR = 1.45, 95% CI: 1.28–1.64) and MP (MP vs. YP: OR = 1.38, 95% CI: 1.24–1.52), but hepatitis was less frequent in OP (OP vs. YP: OR = 0.56, 95% CI: 0.32–0.97) and MP (MP vs. YP: OR = 0.57, 95%CI: 0.38–0.85). Further analysis demonstrated that older patients showed less B cell, CD8+ T cell and myeloid dendritic cell infiltration than younger patients. Conclusions Elderly patients exhibited higher incidences of pulmonary toxicity, while hepatitis was found at low incidence. Therefore, clinicians should carefully monitor comorbidities in elderly patients.
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Affiliation(s)
- Xinyi Huang
- Department of Oncology, Shandong Provincial Qianfoshan Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.,Department of Oncology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China.,Shandong Lung Cancer Institute, Jinan, China
| | - Tiantian Tian
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China.,Shandong Lung Cancer Institute, Jinan, China
| | - Yan Zhang
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China.,Shandong Lung Cancer Institute, Jinan, China
| | - Shengjian Zhou
- Department of Oncology, Liangshan County People's Hospital, Jining, China
| | - Pingping Hu
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China.,Shandong Lung Cancer Institute, Jinan, China
| | - Jiandong Zhang
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China.,Shandong Lung Cancer Institute, Jinan, China
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132
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Lanfermeijer J, de Greef PC, Hendriks M, Vos M, van Beek J, Borghans JAM, van Baarle D. Age and CMV-Infection Jointly Affect the EBV-Specific CD8 + T-Cell Repertoire. FRONTIERS IN AGING 2021; 2:665637. [PMID: 35822032 PMCID: PMC9261403 DOI: 10.3389/fragi.2021.665637] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 03/31/2021] [Indexed: 01/15/2023]
Abstract
CD8+ T cells play an important role in protection against viral infections. With age, changes in the T-cell pool occur, leading to diminished responses against both new and recurring infections in older adults. This is thought to be due to a decrease in both T-cell numbers and T-cell receptor (TCR) diversity. Latent infection with cytomegalovirus (CMV) is assumed to contribute to this age-associated decline of the immune system. The observation that the level of TCR diversity in the total memory T-cell pool stays relatively stable during aging is remarkable in light of the constant input of new antigen-specific memory T cells. What happens with the diversity of the individual antigen-specific T-cell repertoires in the memory pool remains largely unknown. Here we studied the effect of aging on the phenotype and repertoire diversity of CMV-specific and Epstein-Barr virus (EBV)-specific CD8+ T cells, as well as the separate effects of aging and CMV-infection on the EBV-specific T-cell repertoire. Antigen-specific T cells against both persistent viruses showed an age-related increase in the expression of markers associated with a more differentiated phenotype, including KLRG-1, an increase in the fraction of terminally differentiated T cells, and a decrease in the diversity of the T-cell repertoire. Not only age, but also CMV infection was associated with a decreased diversity of the EBV-specific T-cell repertoire. This suggests that both CMV infection and age can impact the T-cell repertoire against other antigens.
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Affiliation(s)
- Josien Lanfermeijer
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Peter C. de Greef
- Theoretical Biology and Bioinformatics, Utrecht University, Utrecht, Netherlands
| | - Marion Hendriks
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Martijn Vos
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Josine van Beek
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - José A. M. Borghans
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Debbie van Baarle
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, Netherlands
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133
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Arnaout RA, Prak ETL, Schwab N, Rubelt F. The Future of Blood Testing Is the Immunome. Front Immunol 2021; 12:626793. [PMID: 33790897 PMCID: PMC8005722 DOI: 10.3389/fimmu.2021.626793] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 01/19/2021] [Indexed: 12/13/2022] Open
Abstract
It is increasingly clear that an extraordinarily diverse range of clinically important conditions—including infections, vaccinations, autoimmune diseases, transplants, transfusion reactions, aging, and cancers—leave telltale signatures in the millions of V(D)J-rearranged antibody and T cell receptor [TR per the Human Genome Organization (HUGO) nomenclature but more commonly known as TCR] genes collectively expressed by a person’s B cells (antibodies) and T cells. We refer to these as the immunome. Because of its diversity and complexity, the immunome provides singular opportunities for advancing personalized medicine by serving as the substrate for a highly multiplexed, near-universal blood test. Here we discuss some of these opportunities, the current state of immunome-based diagnostics, and highlight some of the challenges involved. We conclude with a call to clinicians, researchers, and others to join efforts with the Adaptive Immune Receptor Repertoire Community (AIRR-C) to realize the diagnostic potential of the immunome.
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Affiliation(s)
- Ramy A Arnaout
- Department of Pathology and Division of Clinical Informatics, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States.,Department of Pathology, Harvard Medical School, Boston, MA, United States
| | - Eline T Luning Prak
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Nicholas Schwab
- Department of Neurology and Institute of Translational Neurology, University of Muenster, Muenster, Germany
| | - Florian Rubelt
- Roche Sequencing Solutions, Pleasanton, CA, United States
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134
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Yermanos A, Neumeier D, Sandu I, Borsa M, Waindok AC, Merkler D, Oxenius A, Reddy ST. Single-cell immune repertoire and transcriptome sequencing reveals that clonally expanded and transcriptionally distinct lymphocytes populate the aged central nervous system in mice. Proc Biol Sci 2021; 288:20202793. [PMID: 33622131 DOI: 10.1098/rspb.2020.2793] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Neuroinflammation plays a crucial role during ageing and various neurological conditions, including Alzheimer's disease, multiple sclerosis and infection. Technical limitations, however, have prevented an integrative analysis of how lymphocyte immune receptor repertoires and their accompanying transcriptional states change with age in the central nervous system. Here, we leveraged single-cell sequencing to simultaneously profile B cell receptor and T cell receptor repertoires and accompanying gene expression profiles in young and old mouse brains. We observed the presence of clonally expanded B and T cells in the central nervous system of aged male mice. Furthermore, many of these B cells were of the IgM and IgD isotypes, and had low levels of somatic hypermutation. Integrating gene expression information additionally revealed distinct transcriptional profiles of these clonally expanded lymphocytes. Our findings implicate that clonally related T and B cells in the CNS of elderly mice may contribute to neuroinflammation accompanying homeostatic ageing.
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Affiliation(s)
- Alexander Yermanos
- Department of Biosystems and Engineering, ETH Zurich, Basel, Switzerland.,Institute of Microbiology, ETH Zurich, Zurich, Switzerland.,Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland
| | - Daniel Neumeier
- Department of Biosystems and Engineering, ETH Zurich, Basel, Switzerland
| | - Ioana Sandu
- Institute of Microbiology, ETH Zurich, Zurich, Switzerland
| | - Mariana Borsa
- Institute of Microbiology, ETH Zurich, Zurich, Switzerland.,Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK
| | | | - Doron Merkler
- Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland.,Division of Clinical Pathology, Geneva University Hospital, Geneva, Switzerland
| | | | - Sai T Reddy
- Department of Biosystems and Engineering, ETH Zurich, Basel, Switzerland
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135
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Jensen MP, Jacobs BM, Dobson R, Bandres-Ciga S, Blauwendraat C, Schrag A, Noyce AJ. Lower Lymphocyte Count is Associated With Increased Risk of Parkinson's Disease. Ann Neurol 2021; 89:803-812. [PMID: 33527442 PMCID: PMC9012149 DOI: 10.1002/ana.26034] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 01/28/2021] [Accepted: 01/28/2021] [Indexed: 12/15/2022]
Abstract
Objectives: Patients with established Parkinson’s disease (PD) display differences in peripheral blood markers of immune function, including leukocyte differential counts, compared with controls. These differences may be useful biomarkers to predict PD and may shed light on pathogenesis. We sought to identify whether peripheral immune dysregulation was associated with increased risk of subsequent PD diagnosis. Methods: We examined the relationship between incident PD, baseline differential leukocyte count and other blood markers of acute inflammation in UK Biobank (UKB), a longitudinal cohort with ~500,000 participants. We used a range of sensitivity analyses and Mendelian randomization (MR) to further explore the nature of associations. Results: After excluding individuals with comorbidities which could influence biomarkers of inflammation, 465 incident PD cases and 312,125 controls remained. Lower lymphocyte count was associated with increased risk of subsequent PD diagnosis (per 1-SD decrease in lymphocyte count odds ratio [OR] = 1.18, 95% confidence interval [CI] = 1.07–1.32, padjusted = 0.01). There was some evidence that reductions in eosinophil counts, monocyte counts and C-reactive protein (CRP) were associated with increased PD risk, and that higher neutrophil count was also associated. Only the association between lower lymphocyte count and increased PD risk remained robust to sensitivity analyses. MR suggested that the effect of lower lymphocyte count on PD risk may be causal (per 1-SD decrease in lymphocyte count; ORMR = 1.09, 95% CI = 1.01–1.18, p = 0.02). Interpretation: We provide converging evidence from observational analyses in UKB and MR that lower lymphocyte count is associated with an increased risk of subsequent PD.
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Affiliation(s)
- Melanie P Jensen
- Preventive Neurology Unit, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK.,Department of Cellular Pathology, Northwest London Pathology, Charing Cross Hospital Campus, London, UK
| | - Benjamin Meir Jacobs
- Preventive Neurology Unit, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK
| | - Ruth Dobson
- Preventive Neurology Unit, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK
| | - Sara Bandres-Ciga
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Cornelis Blauwendraat
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Anette Schrag
- Department of Clinical and Movement Neurosciences, UCL Institute of Neurology, London, UK
| | - Alastair J Noyce
- Preventive Neurology Unit, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK.,Department of Clinical and Movement Neurosciences, UCL Institute of Neurology, London, UK
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136
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Xydia M, Rahbari R, Ruggiero E, Macaulay I, Tarabichi M, Lohmayer R, Wilkening S, Michels T, Brown D, Vanuytven S, Mastitskaya S, Laidlaw S, Grabe N, Pritsch M, Fronza R, Hexel K, Schmitt S, Müller-Steinhardt M, Halama N, Domschke C, Schmidt M, von Kalle C, Schütz F, Voet T, Beckhove P. Common clonal origin of conventional T cells and induced regulatory T cells in breast cancer patients. Nat Commun 2021; 12:1119. [PMID: 33602930 PMCID: PMC7893042 DOI: 10.1038/s41467-021-21297-y] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 12/11/2020] [Indexed: 02/06/2023] Open
Abstract
Regulatory CD4+ T cells (Treg) prevent tumor clearance by conventional T cells (Tconv) comprising a major obstacle of cancer immune-surveillance. Hitherto, the mechanisms of Treg repertoire formation in human cancers remain largely unclear. Here, we analyze Treg clonal origin in breast cancer patients using T-Cell Receptor and single-cell transcriptome sequencing. While Treg in peripheral blood and breast tumors are clonally distinct, Tconv clones, including tumor-antigen reactive effectors (Teff), are detected in both compartments. Tumor-infiltrating CD4+ cells accumulate into distinct transcriptome clusters, including early activated Tconv, uncommitted Teff, Th1 Teff, suppressive Treg and pro-tumorigenic Treg. Trajectory analysis suggests early activated Tconv differentiation either into Th1 Teff or into suppressive and pro-tumorigenic Treg. Importantly, Tconv, activated Tconv and Treg share highly-expanded clones contributing up to 65% of intratumoral Treg. Here we show that Treg in human breast cancer may considerably stem from antigen-experienced Tconv converting into secondary induced Treg through intratumoral activation.
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Affiliation(s)
- Maria Xydia
- RCI Regensburg Centre for Interventional Immunology, University and Department of Hematology/Oncology, University Medical Centre of Regensburg, Regensburg, Germany.
- Translational Immunology Department, German Cancer Research Centre, Heidelberg, Germany.
| | - Raheleh Rahbari
- The Cancer, Ageing and Somatic Mutation Program, Wellcome Sanger Institute, Hinxton, UK
| | - Eliana Ruggiero
- Translational Oncology Department, National Centre for Tumor Diseases and German Cancer Research Centre, Heidelberg, Germany
| | - Iain Macaulay
- The Cancer, Ageing and Somatic Mutation Program, Wellcome Sanger Institute, Hinxton, UK
- Technical Development, Earlham Institute, Norwich, UK
| | - Maxime Tarabichi
- The Cancer, Ageing and Somatic Mutation Program, Wellcome Sanger Institute, Hinxton, UK
- The Francis Crick Institute, London, UK
| | - Robert Lohmayer
- RCI Regensburg Centre for Interventional Immunology, University and Department of Hematology/Oncology, University Medical Centre of Regensburg, Regensburg, Germany
- Institute for Theoretical Physics, University of Regensburg, Regensburg, Germany
| | - Stefan Wilkening
- Translational Oncology Department, National Centre for Tumor Diseases and German Cancer Research Centre, Heidelberg, Germany
| | - Tillmann Michels
- RCI Regensburg Centre for Interventional Immunology, University and Department of Hematology/Oncology, University Medical Centre of Regensburg, Regensburg, Germany
| | - Daniel Brown
- Department of Human Genetics, University of Leuven, KU Leuven, Leuven, Belgium
- The Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia
| | - Sebastiaan Vanuytven
- The Francis Crick Institute, London, UK
- Department of Human Genetics, University of Leuven, KU Leuven, Leuven, Belgium
| | - Svetlana Mastitskaya
- Medical Oncology Department, National Centre for Tumor Diseases, Heidelberg, Germany
- Centre for Cardiovascular and Metabolic Neuroscience, Department of Neuroscience, Physiology and Pharmacology, University College London, London, UK
| | - Sean Laidlaw
- The Cancer, Ageing and Somatic Mutation Program, Wellcome Sanger Institute, Hinxton, UK
| | - Niels Grabe
- Medical Oncology Department, National Centre for Tumor Diseases, Heidelberg, Germany
- Hamamatsu Tissue Imaging and Analysis Centre, BIOQUANT, University of Heidelberg, Heidelberg, Germany
| | - Maria Pritsch
- Translational Immunology Department, German Cancer Research Centre, Heidelberg, Germany
| | - Raffaele Fronza
- Translational Oncology Department, National Centre for Tumor Diseases and German Cancer Research Centre, Heidelberg, Germany
| | - Klaus Hexel
- Flow Cytometry Core Facility, German Cancer Research Centre, Heidelberg, Germany
| | - Steffen Schmitt
- Flow Cytometry Core Facility, German Cancer Research Centre, Heidelberg, Germany
| | - Michael Müller-Steinhardt
- German Red Cross (DRK Blood Donation Service in Baden-Württemberg-Hessen) and Institute for Transfusion Medicine and Immunology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Niels Halama
- Medical Oncology Department, National Centre for Tumor Diseases, Heidelberg, Germany
- Hamamatsu Tissue Imaging and Analysis Centre, BIOQUANT, University of Heidelberg, Heidelberg, Germany
| | - Christoph Domschke
- Department of Gynecology and Obstetrics, University Hospital of Heidelberg, Heidelberg, Germany
| | - Manfred Schmidt
- Translational Oncology Department, National Centre for Tumor Diseases and German Cancer Research Centre, Heidelberg, Germany
| | - Christof von Kalle
- Translational Oncology Department, National Centre for Tumor Diseases and German Cancer Research Centre, Heidelberg, Germany
- Clinical Study Centre, Charité/BIH, Berlin, Germany
| | - Florian Schütz
- Department of Gynecology and Obstetrics, University Hospital of Heidelberg, Heidelberg, Germany
| | - Thierry Voet
- The Cancer, Ageing and Somatic Mutation Program, Wellcome Sanger Institute, Hinxton, UK
- Department of Human Genetics, University of Leuven, KU Leuven, Leuven, Belgium
| | - Philipp Beckhove
- RCI Regensburg Centre for Interventional Immunology, University and Department of Hematology/Oncology, University Medical Centre of Regensburg, Regensburg, Germany.
- Translational Immunology Department, German Cancer Research Centre, Heidelberg, Germany.
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137
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The impact of immuno-aging on SARS-CoV-2 vaccine development. GeroScience 2021; 43:31-51. [PMID: 33569701 PMCID: PMC7875765 DOI: 10.1007/s11357-021-00323-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 01/07/2021] [Indexed: 12/14/2022] Open
Abstract
The SARS-CoV-2 pandemic has almost 56 million confirmed cases resulting in over 1.3 million deaths as of November 2020. This infection has proved more deadly to older adults (those >65 years of age) and those with immunocompromising conditions. The worldwide population aged 65 years and older is increasing, and the total number of aged individuals will outnumber those younger than 65 years by the year 2050. Aging is associated with a decline in immune function and chronic activation of inflammation that contributes to enhanced viral susceptibility and reduced responses to vaccination. Here we briefly review the pathogenicity of the virus, epidemiology and clinical response, and the underlying mechanisms of human aging in improving vaccination. We review current methods to improve vaccination in the older adults using novel vaccine platforms and adjuvant systems. We conclude by summarizing the existing clinical trials for a SARS-CoV-2 vaccine and discussing how to address the unique challenges for vaccine development presented with an aging immune system.
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138
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Rajeh A, Wolf K, Schiebout C, Sait N, Kosfeld T, DiPaolo RJ, Ahn TH. iCAT: diagnostic assessment tool of immunological history using high-throughput T-cell receptor sequencing. F1000Res 2021; 10:65. [PMID: 34316355 PMCID: PMC8276190 DOI: 10.12688/f1000research.27214.2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/10/2021] [Indexed: 11/20/2022] Open
Abstract
The pathogen exposure history of an individual is recorded in their T-cell repertoire and can be accessed through the study of T-cell receptors (TCRs) if the tools to identify them were available. For each T-cell, the TCR loci undergoes genetic rearrangement that creates a unique DNA sequence. In theory these unique sequences can be used as biomarkers for tracking T-cell responses and cataloging immunological history. We developed the immune Cell Analysis Tool (iCAT), an R software package that analyzes TCR sequencing data from exposed (positive) and unexposed (negative) samples to identify TCR sequences statistically associated with positive samples. The presence and absence of associated sequences in samples trains a classifier to diagnose pathogen-specific exposure. We demonstrate the high accuracy of iCAT by testing on three TCR sequencing datasets. First, iCAT successfully diagnosed smallpox vaccinated versus naïve samples in an independent cohort of mice with 95% accuracy. Second, iCAT displayed 100% accuracy classifying naïve and monkeypox vaccinated mice. Finally, we demonstrate the use of iCAT on human samples before and after exposure to SARS-CoV-2, the virus behind the COVID-19 global pandemic. We were able to correctly classify the exposed samples with perfect accuracy. These experimental results show that iCAT capitalizes on the power of TCR sequencing to simplify infection diagnostics. iCAT provides the option of a graphical, user-friendly interface on top of usual R interface allowing it to reach a wider audience.
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Affiliation(s)
- Ahmad Rajeh
- Program in Bioinformatics and Computational Biology, Saint Louis University, St. Louis, MO, 63103, USA
| | - Kyle Wolf
- Molecular Microbiology and Immunology, Saint Louis University School of Medicine, St. Louis, MO, 63104, USA
| | - Courtney Schiebout
- Program in Bioinformatics and Computational Biology, Saint Louis University, St. Louis, MO, 63103, USA
| | - Nabeel Sait
- Computer Science, Saint Louis University, St. Louis, MO, 63103, USA
| | - Tim Kosfeld
- Computer Science, Saint Louis University, St. Louis, MO, 63103, USA
| | - Richard J DiPaolo
- Molecular Microbiology and Immunology, Saint Louis University School of Medicine, St. Louis, MO, 63104, USA
| | - Tae-Hyuk Ahn
- Program in Bioinformatics and Computational Biology, Saint Louis University, St. Louis, MO, 63103, USA.,Computer Science, Saint Louis University, St. Louis, MO, 63103, USA
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139
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Sinaei R, Pezeshki S, Parvaresh S, Sinaei R. Why COVID-19 is less frequent and severe in children: a narrative review. World J Pediatr 2021; 17:10-20. [PMID: 32978651 PMCID: PMC7518650 DOI: 10.1007/s12519-020-00392-y] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 09/08/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND Despite the streaks of severity, severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) infection is, in general, less frequent and severe in children than in adults. We searched for causal evidence of this mystery. DATA SOURCES An extensive search strategy was designed to identify papers on coronavirus disease 2019 (COVID-19). We searched Ovid MEDLINE, PubMed, EMBASE databases, and Cochrane library and carried out a review on the causes of this dilemma. RESULTS Our searches produced 81 relevant articles. The review showed that children accounted for a lower percentage of reported cases, and they also experienced less severe illness courses. Some potential explanations, including the tendency to engage the upper airway, the different expression in both receptors of angiotensin-converting enzyme and renin-angiotensin system, a less vigorous immune response, the lower levels of interleukin (IL)-6, IL-10, myeloperoxidase, and P-selectin and a higher intracellular adhesion molecule-1, a potential protective role of lymphocytes, and also lung infiltrations might have protective roles in the immune system-respiratory tract interactions. Finally, what have shed light on this under representation comes from two studies that revealed high-titer immunoglobulin-G antibodies against respiratory syncytial virus and mycoplasma pneumonia, may carry out cross-protection against SARS-CoV-2 infection, just like what suggested about the vaccines. CONCLUSIONS These results require an in-depth look. Properties of the immune system including a less vigorous adaptive system beside a preliminary potent innate response and a trained immunity alongside a healthier respiratory system, and their interactions, might protect children against SARS-CoV-2 infection. However, further studies are needed to explore other possible causes of this enigma.
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Affiliation(s)
- Reza Sinaei
- Department of Pediatrics, School of Medicine, Endocrinology and Metabolism Research Center, Institute of Basic and Clinical Physiology Sciences, Kerman University of Medical Sciences, Kerman, Iran
| | - Sara Pezeshki
- Department of Internal Medicine, School of Medicine, Endocrinology and Metabolism Research Center, Institute of Basic and Clinical Physiology Sciences, Kerman University of Medical Sciences, Kerman, Iran.
| | - Saeedeh Parvaresh
- Department of Pediatrics, School of Medicine, Endocrinology and Metabolism Research Center, Institute of Basic and Clinical Physiology Sciences, Kerman University of Medical Sciences, Kerman, Iran
| | - Roya Sinaei
- Department of Pediatrics, School of Medicine, Endocrinology and Metabolism Research Center, Institute of Basic and Clinical Physiology Sciences, Kerman University of Medical Sciences, Kerman, Iran
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140
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141
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Tolstykh EI, Vozilova AV, Degteva MO, Akleyev AV. Concept of T-Cell Genus as a Basis for Analysis of the Results of Cytogenetic Studies after Local Bone Marrow Exposure. BIOL BULL+ 2021. [DOI: 10.1134/s1062359020110151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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142
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Tickotsky-Moskovitz N, Louzoun Y, Dvorkin S, Rotkopf A, Kuperman AA, Efroni S. CDR3 and V genes show distinct reconstitution patterns in T cell repertoire post-allogeneic bone marrow transplantation. Immunogenetics 2021; 73:163-173. [PMID: 33475766 DOI: 10.1007/s00251-020-01200-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 12/10/2020] [Indexed: 12/13/2022]
Abstract
Restoration of T cell repertoire diversity after allogeneic bone marrow transplantation (allo-BMT) is crucial for immune recovery. T cell diversity is produced by rearrangements of germline gene segments (V (D) and J) of the T cell receptor (TCR) α and β chains, and selection induced by binding of TCRs to MHC-peptide complexes. Multiple measures were proposed for this diversity. We here focus on the V-gene usage and the CDR3 sequences of the beta chain. We compared multiple T cell repertoires to follow T cell repertoire changes post-allo-BMT in HLA-matched related donor and recipient pairs. Our analyses of the differences between donor and recipient complementarity determining region 3 (CDR3) beta composition and V-gene profile show that the CDR3 sequence composition does not change during restoration, implying its dependence on the HLA typing. In contrast, V-gene usage followed a time-dependent pattern, initially following the donor profile and then shifting back to the recipients' profile. The final long-term repertoire was more similar to that of the recipient's original one than the donor's; some recipients converged within months, while others took multiple years. Based on the results of our analyses, we propose that donor-recipient V-gene distribution differences may serve as clinical biomarkers for monitoring immune recovery.
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Affiliation(s)
| | - Yoram Louzoun
- Department of Mathematics, Bar Ilan University, Ramat Gan, Israel.
| | - Shirit Dvorkin
- Department of Mathematics, Bar Ilan University, Ramat Gan, Israel
| | - Adi Rotkopf
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
| | - Amir Asher Kuperman
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
- Blood Coagulation Service and Pediatric Hematology Clinic, Galilee Medical Center, Nahariya, Israel
| | - Sol Efroni
- The Goodman Faculty of Life Sciences, Bar Ilan University, Ramat Gan, Israel
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143
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Gordin M, Philip H, Zilberberg A, Gidoni M, Margalit R, Clouser C, Adams K, Vigneault F, Cohen IR, Yaari G, Efroni S. Breast cancer is marked by specific, Public T-cell receptor CDR3 regions shared by mice and humans. PLoS Comput Biol 2021; 17:e1008486. [PMID: 33465095 PMCID: PMC7846026 DOI: 10.1371/journal.pcbi.1008486] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2020] [Revised: 01/29/2021] [Accepted: 11/03/2020] [Indexed: 11/19/2022] Open
Abstract
The partial success of tumor immunotherapy induced by checkpoint blockade, which is not antigen-specific, suggests that the immune system of some patients contain antigen receptors able to specifically identify tumor cells. Here we focused on T-cell receptor (TCR) repertoires associated with spontaneous breast cancer. We studied the alpha and beta chain CDR3 domains of TCR repertoires of CD4 T cells using deep sequencing of cell populations in mice and applied the results to published TCR sequence data obtained from human patients. We screened peripheral blood T cells obtained monthly from individual mice spontaneously developing breast tumors by 5 months. We then looked at identical TCR sequences in published human studies; we used TCGA data from tumors and healthy tissues of 1,256 breast cancer resections and from 4 focused studies including sequences from tumors, lymph nodes, blood and healthy tissues, and from single cell dataset of 3 breast cancer subjects. We now report that mice spontaneously developing breast cancer manifest shared, Public CDR3 regions in both their alpha and beta and that a significant number of women with early breast cancer manifest identical CDR3 sequences. These findings suggest that the development of breast cancer is associated, across species, with biomarker, exclusive TCR repertoires.
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Affiliation(s)
- Miri Gordin
- The Mina & Everard Goodman Faculty of Life Sciences, Bar Ilan University, Ramat-Gan, Israel
| | - Hagit Philip
- The Mina & Everard Goodman Faculty of Life Sciences, Bar Ilan University, Ramat-Gan, Israel
| | - Alona Zilberberg
- The Mina & Everard Goodman Faculty of Life Sciences, Bar Ilan University, Ramat-Gan, Israel
| | - Moriah Gidoni
- Faculty of Engineering, Bar Ilan University, Ramat Gan, Israel
| | | | | | - Kristofor Adams
- Juno Therapeutics, Seattle, Washington, United States of America
| | | | - Irun R. Cohen
- Department of Immunology, The Weizmann Institute of Science, Rehovot, Israel
| | - Gur Yaari
- Faculty of Engineering, Bar Ilan University, Ramat Gan, Israel
- * E-mail: (GY); (SE)
| | - Sol Efroni
- The Mina & Everard Goodman Faculty of Life Sciences, Bar Ilan University, Ramat-Gan, Israel
- * E-mail: (GY); (SE)
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Rodriguez IJ, Lalinde Ruiz N, Llano León M, Martínez Enríquez L, Montilla Velásquez MDP, Ortiz Aguirre JP, Rodríguez Bohórquez OM, Velandia Vargas EA, Hernández ED, Parra López CA. Immunosenescence Study of T Cells: A Systematic Review. Front Immunol 2021; 11:604591. [PMID: 33519813 PMCID: PMC7843425 DOI: 10.3389/fimmu.2020.604591] [Citation(s) in RCA: 82] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 11/30/2020] [Indexed: 12/21/2022] Open
Abstract
Background Aging is accompanied by alterations in immune response which leads to increased susceptibility to infectious diseases, cancer, autoimmunity, and inflammatory disorders. This decline in immune function is termed as immunosenescence; however, the mechanisms are not fully elucidated. Experimental approaches of adaptive immunity, particularly for T cells, have been the main focus of immunosenescence research. This systematic review evaluates and discusses T cell markers implicated in immunosenescence. Objective To determine the best flow cytometry markers of circulating T cells associated with immunosenescence. Methods We systematically queried PubMed, MEDLINE, EBSCO, and BVS databases for original articles focused on two age groups of healthy humans: 18–44 (young adults) and >60 (older adults) years. In accordance with the Cochrane methodology, we synthesized data through qualitative descriptions and quantitative random effects meta-analysis due to extensive heterogeneity. Results A total of 36 studies conducted in the last 20 years were included for the qualitative analysis and four out of these studies were used to perform the meta-analysis. A significant decrease in naïve T cell subset was observed in older adults compared to young adults. Primary markers used to identify senescent cells were loss of CD28 and increased expression of CD57 and KLRG1 in terminally-differentiated memory T cell subset in older adults. Moreover, we observed an increase in proinflammatory cytokines and decrease in telomere length in old adult T cells. It was not possible to perform quantitative synthesis on cell markers, cytokines, and telomere length because of the significant variations between the groups, which is attributed to differences in protocols and unreported measurements, thus generating a high risk of bias. Conclusions Heterogeneity among studies in terms of data report, measurement techniques and high risk of bias were major impediments for performing a robust statistical analysis that could aid the identification of eligible flow cytometry markers of immunosenescence phenotype in T cells.
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Affiliation(s)
- Ivon Johanna Rodriguez
- Laboratorio de Inmunología y medicina traslacional, Departamento de Microbiología, Universidad Nacional de Colombia, Bogotá, Colombia.,Departamento de Movimiento Corporal Humano, Universidad Nacional de Colombia, Bogotá, Colombia
| | - Nicolás Lalinde Ruiz
- Laboratorio de Inmunología y medicina traslacional, Departamento de Microbiología, Universidad Nacional de Colombia, Bogotá, Colombia
| | - Manuela Llano León
- Laboratorio de Inmunología y medicina traslacional, Departamento de Microbiología, Universidad Nacional de Colombia, Bogotá, Colombia
| | - Laura Martínez Enríquez
- Laboratorio de Inmunología y medicina traslacional, Departamento de Microbiología, Universidad Nacional de Colombia, Bogotá, Colombia
| | | | - Juan Pablo Ortiz Aguirre
- Laboratorio de Inmunología y medicina traslacional, Departamento de Microbiología, Universidad Nacional de Colombia, Bogotá, Colombia
| | | | - Esteban Alejandro Velandia Vargas
- Laboratorio de Inmunología y medicina traslacional, Departamento de Microbiología, Universidad Nacional de Colombia, Bogotá, Colombia
| | - Edgar Debray Hernández
- Departamento de Movimiento Corporal Humano, Universidad Nacional de Colombia, Bogotá, Colombia
| | - Carlos Alberto Parra López
- Laboratorio de Inmunología y medicina traslacional, Departamento de Microbiología, Universidad Nacional de Colombia, Bogotá, Colombia
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145
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George JT, Levine H. Implications of Tumor-Immune Coevolution on Cancer Evasion and Optimized Immunotherapy. Trends Cancer 2021; 7:373-383. [PMID: 33446448 DOI: 10.1016/j.trecan.2020.12.005] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 12/04/2020] [Accepted: 12/07/2020] [Indexed: 02/06/2023]
Abstract
Cancer represents a diverse collection of diseases characterized by heterogeneous cell populations that dynamically evolve in their environment. As painfully evident in cases of treatment failure and recurrence, this general feature makes identifying long-term successful therapies difficult. It is now well-established that the adaptive immune system recognizes and eliminates cancer cells, and various immunotherapeutic strategies have emerged to augment this effect. These therapies, while promising, often fail as a result of immune-specific cancer evasion. Increasingly available empirical evidence details both cancer and immune system populations pre- and post-treatment, providing rich opportunity for mathematical models of the tumor-immune interaction and subsequent co-evolution. Integrated mathematical and experimental efforts bear immediate relevance for optimized therapies and will undoubtedly accelerate our understanding of this emergent field.
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Affiliation(s)
- Jason T George
- Center for Theoretical Biological Physics, Rice University, Houston, TX, USA; Medical Scientist Training Program, Baylor College of Medicine, Houston, TX, USA.
| | - Herbert Levine
- Center for Theoretical Biological Physics, Rice University, Houston, TX, USA; Department of Bioengineering, Northeastern University, Boston, MA, USA; Department of Physics, Northeastern University, Boston, MA, USA.
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146
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Hayashi F, Isobe N, Glanville J, Matsushita T, Maimaitijiang G, Fukumoto S, Watanabe M, Masaki K, Kira JI. A new clustering method identifies multiple sclerosis-specific T-cell receptors. Ann Clin Transl Neurol 2021; 8:163-176. [PMID: 33400858 PMCID: PMC7818280 DOI: 10.1002/acn3.51264] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 11/06/2020] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVE To characterize T-cell receptors (TCRs) and identify target epitopes in multiple sclerosis (MS). METHODS Peripheral blood mononuclear cells were obtained from 39 MS patients and 19 healthy controls (HCs). TCR repertoires for α/β/δ/γ chains, TCR diversity, and V/J usage were determined by next-generation sequencing. TCR β chain repertoires were compared with affectation status using a novel clustering method, Grouping of Lymphocyte Interactions by Paratope Hotspots (GLIPH). Cytomegalovirus (CMV)-IgG was measured in an additional 113 MS patients and 93 HCs. Regulatory T cells (Tregs) were measured by flow cytometry. RESULTS TCR diversity for all four chains decreased with age. TCRα and TCRβ diversity was higher in MS patients (P = 0.0015 and 0.024, respectively), even after age correction. TRAJ56 and TRBV4-3 were more prevalent in MS patients than in HCs (pcorr = 0.027 and 0.040, respectively). GLIPH consolidated 208,674 TCR clones from MS patients into 1,294 clusters, among which two candidate clusters were identified. The TRBV4-3 cluster was shared by HLA-DRB1*04:05-positive patients (87.5%) and predicted to recognize CMV peptides (CMV-TCR). MS Severity Score (MSSS) was lower in patients with CMV-TCR than in those without (P = 0.037). CMV-IgG-positivity was associated with lower MSSS in HLA-DRB1*04:05 carriers (P = 0.0053). HLA-DRB1*04:05-positive individuals demonstrated higher CMV-IgG titers than HLA-DRB1*04:05-negative individuals (P = 0.017). CMV-IgG-positive patients had more Tregs than CMV-IgG-negative patients (P = 0.054). INTERPRETATION High TCRα/TCRβ diversity, regardless of age, is characteristic of MS. Association of a CMV-recognizing TCR with mild disability indicates CMV's protective role in HLA-DRB1*04:05-positive MS.
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Affiliation(s)
- Fumie Hayashi
- Department of Neurology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Noriko Isobe
- Department of Neurology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Jacob Glanville
- Computational and Systems Immunology Program, Stanford University School of Medicine, Stanford, California, USA
| | - Takuya Matsushita
- Department of Neurology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | | | - Shoko Fukumoto
- Department of Neurology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Mitsuru Watanabe
- Department of Neurology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Katsuhisa Masaki
- Department of Neurology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Jun-Ichi Kira
- Department of Neurology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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147
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Li C, Nong Q, Guan B, He H, Zhang Z. Specific Differentially Methylated and Expressed Genes in People with Longevity Family History. IRANIAN JOURNAL OF PUBLIC HEALTH 2021; 50:152-160. [PMID: 34178774 PMCID: PMC8213620 DOI: 10.18502/ijph.v50i1.5082] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Background We attempt to identify specific differentially methylated and expressed genes in people with longevity family history, it will contribute to discover significant features about human longevity. Methods A prevalence study was conducted during October 2017 to January 2019 in Bama County of Guangxi, China and individuals were recruited and grouped into longevity family (n=60) and non-longevity family (n=60) to identify differentially methylated genes (DMGs). The expression profile dataset GSE16717 was downloaded from the GEO database in which individuals were divided into 3 groups, namely longevity (n=50), longevity offspring (n=50) and control (n=50) for identifying differentially expressed genes (DEGs). It was considered significantly different when P or adjusted P≤0.05. Results In total, 117 longevity-related hypermethylated genes enriched in interleukin secretion/production regulation, chemokine signaling pathway and natural killer cell-mediated cytotoxicity. Another 296 significant key longevity-related DEGs primarily involved in protein binding, nucleus, cytoplasm, T cell receptor signaling pathway and Metabolic pathway, H19 and PFKFB4 were found to be both methylated and downregulated in people with longevity family history. Conclusion Human longevity-specific genes involve in many immunity regulations and cellular immunity pathways, H19 and PFKFB4 show hypermethylated and suppressed status in people with longevity family history and might serve as longevity candidate genes.
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Affiliation(s)
- Chunhong Li
- Department of Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China
| | - Qingqing Nong
- Department of Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China
| | - Bin Guan
- Department of Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China
| | - Haoyu He
- Department of Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China
| | - Zhiyong Zhang
- Department of Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China.,Department of Environmental Health, School of Public Health, Guilin medical University, Guilin, China
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148
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Cheng J, Li Y, Wang X, Dong Z, Chen Y, Zhang R, Huang J, Jin X, Yao J, Ge A, Song L, Lu Y, Zeng Z. Response Stratification in the First-Line Combined Immunotherapy of Hepatocellular Carcinoma at Genomic, Transcriptional and Immune Repertoire Levels. J Hepatocell Carcinoma 2021; 8:1281-1295. [PMID: 34737983 PMCID: PMC8558640 DOI: 10.2147/jhc.s326356] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 10/05/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Immunotherapy combined with VEGF inhibitor has become the new first-line therapy for advanced or metastatic hepatocellular carcinoma (HCC). However, the biomarkers for response and prognosis stratification of HCC first-line combined immunotherapy have not been clarified. METHODS Here, we obtained the genomic alteration data from pre-therapeutic samples of 103 HCC patients using a 605-gene NGS test, and obtained the transcriptional and T cell receptor (TCR) diversity data from 18 patients who underwent the first-line combined immunotherapy using RNAseq and TCR sequencing, respectively. Patients received sorafenib/sintilimab or lenvatinib/sintilimab combined first-line therapy and the response was assessed at 3-6 cycles of therapy. RESULTS No stratification of response was found in high-frequency key driver gene mutations, including TP53 and TERT. However, significantly higher ratio of progression (PD) was found in patients carrying MDM4 amplification. Similarly, FGF/3/4/19 amplifications could also result in high ratio of PD. The mRNA and lncRNA levels of eight genes related to hepatic metabolism and immune microenvironment exhibited significant differences between PR/SD and PD group, including DGKI, TNFSF14, CHST4, ACTIN1, PFKP, SLC51B, LCK and ERN1, suggesting stratification of response. Furthermore, moderate correlation was identified between the stratification genes (CHST4, SLC51B and ERN1) and immune factors (TIGIT, CD34, ICAM1, CCL5, CXCL9 and CXCL10), suggesting potential roles of these factors in immunoregulation. Strong linear correlation was found between any two of the three indexes for TCR CDR3 diversity, including Shannon-Wiener Index, Simpson index and evenness. However, no significant difference was found in the three indexes between the PR/SD and PD group, suggesting no stratification of response by these indexes. CONCLUSION We identified several potential biomarkers for response stratification in the first-line combined immunotherapy. MDM4 was capable of predicting disease progression, and a panel mRNA and lncRNA of eight genes may also predict the response. Further validation is needed to verify these biomarkers.
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Affiliation(s)
- Jiamin Cheng
- Comprehensive Liver Cancer Department, The Fifth Medical Center of the Chinese PLA General Hospital, Beijing, 100039, People's Republic of China
| | - Yinyin Li
- Comprehensive Liver Cancer Department, The Fifth Medical Center of the Chinese PLA General Hospital, Beijing, 100039, People's Republic of China
| | - Xiaohui Wang
- HaploX Biotechnology, Shenzhen, Guangdong Province, People's Republic of China
| | - Zheng Dong
- Comprehensive Liver Cancer Department, The Fifth Medical Center of the Chinese PLA General Hospital, Beijing, 100039, People's Republic of China
| | - Yan Chen
- Comprehensive Liver Cancer Department, The Fifth Medical Center of the Chinese PLA General Hospital, Beijing, 100039, People's Republic of China
| | - Rui Zhang
- Comprehensive Liver Cancer Department, The Fifth Medical Center of the Chinese PLA General Hospital, Beijing, 100039, People's Republic of China
| | - Jiagan Huang
- Comprehensive Liver Cancer Department, The Fifth Medical Center of the Chinese PLA General Hospital, Beijing, 100039, People's Republic of China
| | - Xueyuan Jin
- Comprehensive Liver Cancer Department, The Fifth Medical Center of the Chinese PLA General Hospital, Beijing, 100039, People's Republic of China
| | - Jianfei Yao
- HaploX Biotechnology, Shenzhen, Guangdong Province, People's Republic of China
| | - Aifang Ge
- HaploX Biotechnology, Shenzhen, Guangdong Province, People's Republic of China
| | - Lele Song
- HaploX Biotechnology, Shenzhen, Guangdong Province, People's Republic of China.,Department of Radiotherapy, The Eighth Medical Center of the Chinese PLA General Hospital, Beijing, 100091, People's Republic of China
| | - Yinying Lu
- Comprehensive Liver Cancer Department, The Fifth Medical Center of the Chinese PLA General Hospital, Beijing, 100039, People's Republic of China
| | - Zhen Zeng
- Comprehensive Liver Cancer Department, The Fifth Medical Center of the Chinese PLA General Hospital, Beijing, 100039, People's Republic of China
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149
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Bortone DS, Woodcock MG, Parker JS, Vincent BG. Improved T-cell Receptor Diversity Estimates Associate with Survival and Response to Anti-PD-1 Therapy. Cancer Immunol Res 2021; 9:103-112. [PMID: 33177107 DOI: 10.1158/2326-6066.cir-20-0398] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 07/27/2020] [Accepted: 10/20/2020] [Indexed: 11/16/2022]
Abstract
T-cell receptor (TCR) repertoire profiling has emerged as a powerful tool for biological discovery and biomarker development in cancer immunology and immunotherapy. A key statistic derived from repertoire profiling data is diversity, which summarizes the frequency distribution of TCRs within a mixed population. Despite the growing use of TCR diversity metrics in clinical trial correlative studies in oncology, their accuracy has not been validated using published ground-truth datasets. Here, we reported the performance characteristics of methods for TCR repertoire profiling from RNA-sequencing data, showed undersampling as a prominent source of bias in diversity estimates, and derived a model via statistical learning that attenuates bias to produce corrected diversity estimates. This modeled diversity improved discrimination in The Cancer Genome Atlas data and associated with survival and treatment response in patients with melanoma treated with anti-PD-1 therapy, where the commonly used diversity normalizations did not. These findings have the potential to increase our understanding of the tumor immune microenvironment and improve the accuracy of predictions of patient responses to immunotherapy.
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Affiliation(s)
- Dante S Bortone
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Mark G Woodcock
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Division of Hematology/Oncology, Department of Medicine, UNC School of Medicine, Chapel Hill, North Carolina
| | - Joel S Parker
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Curriculum in Bioinformatics and Computational Biology, UNC School of Medicine, Chapel Hill, North Carolina
- Computational Medicine Program, UNC School of Medicine, Chapel Hill, North Carolina
| | - Benjamin G Vincent
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
- Division of Hematology/Oncology, Department of Medicine, UNC School of Medicine, Chapel Hill, North Carolina
- Curriculum in Bioinformatics and Computational Biology, UNC School of Medicine, Chapel Hill, North Carolina
- Computational Medicine Program, UNC School of Medicine, Chapel Hill, North Carolina
- Department of Microbiology and Immunology, UNC School of Medicine, Chapel Hill, North Carolina
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150
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Zöphel D, Hof C, Lis A. Altered Ca 2+ Homeostasis in Immune Cells during Aging: Role of Ion Channels. Int J Mol Sci 2020; 22:ijms22010110. [PMID: 33374304 PMCID: PMC7794837 DOI: 10.3390/ijms22010110] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 12/21/2020] [Accepted: 12/22/2020] [Indexed: 12/29/2022] Open
Abstract
Aging is an unstoppable process and begins shortly after birth. Each cell of the organism is affected by the irreversible process, not only with equal density but also at varying ages and with different speed. Therefore, aging can also be understood as an adaptation to a continually changing cellular environment. One of these very prominent changes in age affects Ca2+ signaling. Especially immune cells highly rely on Ca2+-dependent processes and a strictly regulated Ca2+ homeostasis. The intricate patterns of impaired immune cell function may represent a deficit or compensatory mechanisms. Besides, altered immune function through Ca2+ signaling can profoundly affect the development of age-related disease. This review attempts to summarize changes in Ca2+ signaling due to channels and receptors in T cells and beyond in the context of aging.
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Affiliation(s)
| | | | - Annette Lis
- Correspondence: ; Tel.: +49-(0)-06841-1616318; Fax: +49-(0)-6841-1616302
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