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Snijckers RPM, Foks AC. Adaptive immunity and atherosclerosis: aging at its crossroads. Front Immunol 2024; 15:1350471. [PMID: 38686373 PMCID: PMC11056569 DOI: 10.3389/fimmu.2024.1350471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 03/28/2024] [Indexed: 05/02/2024] Open
Abstract
Adaptive immunity plays a profound role in atherosclerosis pathogenesis by regulating antigen-specific responses, inflammatory signaling and antibody production. However, as we age, our immune system undergoes a gradual functional decline, a phenomenon termed "immunosenescence". This decline is characterized by a reduction in proliferative naïve B- and T cells, decreased B- and T cell receptor repertoire and a pro-inflammatory senescence associated secretory profile. Furthermore, aging affects germinal center responses and deteriorates secondary lymphoid organ function and structure, leading to impaired T-B cell dynamics and increased autoantibody production. In this review, we will dissect the impact of aging on adaptive immunity and the role played by age-associated B- and T cells in atherosclerosis pathogenesis, emphasizing the need for interventions that target age-related immune dysfunction to reduce cardiovascular disease risk.
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Affiliation(s)
| | - Amanda C. Foks
- Division of BioTherapeutics, Leiden Academic Centre for Drug Research, Leiden University, Leiden, Netherlands
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2
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Agathangelidis A, Chatzikonstantinou T, Stamatopoulos K. B-cell receptor immunoglobulin stereotypy in chronic lymphocytic leukemia: Key to understanding disease biology and stratifying patients. Semin Hematol 2024; 61:91-99. [PMID: 38242773 DOI: 10.1053/j.seminhematol.2023.12.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 12/03/2023] [Accepted: 12/24/2023] [Indexed: 01/21/2024]
Abstract
Sequence convergence, otherwise stereotypy, of B-cell receptor immunoglobulin (BcR IG) from unrelated patients is a distinctive feature of the IG gene repertoire in chronic lymphocytic leukemia (CLL) whereby patients expressing a particular BcR IG archetype are classified into groups termed stereotyped subsets. From a biological perspective, the fact that a considerable fraction (∼41%) of patients with CLL express (quasi)identical or stereotyped BcR IG underscores the key role of antigen selection in the natural history of CLL. From a clinical perspective, at odds with the pronounced heterogeneity of CLL at large, patients belonging to the same stereotyped subset display consistent clinical presentation and outcome, including response to treatment, likely as a reflection of consistent biological background. Many major stereotyped subsets were recently shown to have satellites, that is, smaller subsets that are immunogenetically similar. Preliminary evidence supports that this similarity extends to shared biological and even clinical features, with important implications for patient stratification. Consequently, BcR IG stereotypy emerges as a powerful tool for dissecting the heterogeneity of CLL toward refined risk stratification and, eventually, more precise therapeutic interventions.
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MESH Headings
- Leukemia, Lymphocytic, Chronic, B-Cell/immunology
- Leukemia, Lymphocytic, Chronic, B-Cell/genetics
- Humans
- Receptors, Antigen, B-Cell/immunology
- Receptors, Antigen, B-Cell/metabolism
- Receptors, Antigen, B-Cell/genetics
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Affiliation(s)
- Andreas Agathangelidis
- Division of Genetics & Biotechnology, Department of Biology, National and Kapodistrian University of Athens, Athens, Greece
| | | | - Kostas Stamatopoulos
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece; Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden.
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3
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Terekhova M, Swain A, Bohacova P, Aladyeva E, Arthur L, Laha A, Mogilenko DA, Burdess S, Sukhov V, Kleverov D, Echalar B, Tsurinov P, Chernyatchik R, Husarcikova K, Artyomov MN. Single-cell atlas of healthy human blood unveils age-related loss of NKG2C +GZMB -CD8 + memory T cells and accumulation of type 2 memory T cells. Immunity 2023; 56:2836-2854.e9. [PMID: 37963457 DOI: 10.1016/j.immuni.2023.10.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 08/11/2023] [Accepted: 10/19/2023] [Indexed: 11/16/2023]
Abstract
Extensive, large-scale single-cell profiling of healthy human blood at different ages is one of the critical pending tasks required to establish a framework for the systematic understanding of human aging. Here, using single-cell RNA/T cell receptor (TCR)/BCR-seq with protein feature barcoding, we profiled 317 samples from 166 healthy individuals aged 25-85 years old. From this, we generated a dataset from ∼2 million cells that described 55 subpopulations of blood immune cells. Twelve subpopulations changed with age, including the accumulation of GZMK+CD8+ T cells and HLA-DR+CD4+ T cells. In contrast to other T cell memory subsets, transcriptionally distinct NKG2C+GZMB-CD8+ T cells counterintuitively decreased with age. Furthermore, we found a concerted age-associated increase in type 2/interleukin (IL)4-expressing memory subpopulations across CD4+ and CD8+ T cell compartments (CCR4+CD8+ Tcm and Th2 CD4+ Tmem), suggesting a systematic functional shift in immune homeostasis with age. Our work provides novel insights into healthy human aging and a comprehensive annotated resource.
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Affiliation(s)
- Marina Terekhova
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Amanda Swain
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Pavla Bohacova
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Ekaterina Aladyeva
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Laura Arthur
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Anwesha Laha
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Denis A Mogilenko
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA; Department of Medicine, Department of Pathology, Microbiology, and Immunology, Vanderbilt Center for Immunobiology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Samantha Burdess
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Vladimir Sukhov
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA; Computer Technologies Laboratory, ITMO University, Saint Petersburg 197101, Russia
| | - Denis Kleverov
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA; Computer Technologies Laboratory, ITMO University, Saint Petersburg 197101, Russia
| | - Barbora Echalar
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Petr Tsurinov
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA; JetBrains Research, 8021 Paphos, Cyprus
| | - Roman Chernyatchik
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA; JetBrains Research, 80639 Munich, Germany
| | - Kamila Husarcikova
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Maxim N Artyomov
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, USA.
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4
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Zhang M, Zhao C, Cheng Q, Xu J, Xu N, Yu L, Feng W. A score-based method of immune status evaluation for healthy individuals with complete blood cell counts. BMC Bioinformatics 2023; 24:467. [PMID: 38082403 PMCID: PMC10714576 DOI: 10.1186/s12859-023-05603-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 12/05/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND With the COVID-19 outbreak, an increasing number of individuals are concerned about their health, particularly their immune status. However, as of now, there is no available algorithm that effectively assesses the immune status of normal, healthy individuals. In response to this, a new score-based method is proposed that utilizes complete blood cell counts (CBC) to provide early warning of disease risks, such as COVID-19. METHODS First, data on immune-related CBC measurements from 16,715 healthy individuals were collected. Then, a three-platform model was developed to normalize the data, and a Gaussian mixture model was optimized with expectation maximization (EM-GMM) to cluster the immune status of healthy individuals. Based on the results, Random Forest (RF), Light Gradient Boosting Machine (LightGBM) and Extreme Gradient Boosting (XGBoost) were used to determine the correlation of each CBC index with the immune status. Consequently, a weighted sum model was constructed to calculate a continuous immunity score, enabling the evaluation of immune status. RESULTS The results demonstrated a significant negative correlation between the immunity score and the age of healthy individuals, thereby validating the effectiveness of the proposed method. In addition, a nonlinear polynomial regression model was developed to depict this trend. By comparing an individual's immune status with the reference value corresponding to their age, their immune status can be evaluated. CONCLUSION In summary, this study has established a novel model for evaluating the immune status of healthy individuals, providing a good approach for early detection of abnormal immune status in healthy individuals. It is helpful in early warning of the risk of infectious diseases and of significant importance.
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Affiliation(s)
- Min Zhang
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China
| | - Chengkui Zhao
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China
| | - Qi Cheng
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China
| | - Jiayu Xu
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China
| | - Nan Xu
- Institute of Biomedical Engineering and Technology, Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, China
- Shanghai Unicar-Therapy Bio-Medicine Technology Co., Ltd, Shanghai, China
| | - Lei Yu
- Institute of Biomedical Engineering and Technology, Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, China.
- Shanghai Unicar-Therapy Bio-Medicine Technology Co., Ltd, Shanghai, China.
| | - Weixing Feng
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China.
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Vergani S, Bagnara D, Agathangelidis A, Ng AKY, Ferrer G, Mazzarello AN, Palacios F, Yancopoulos S, Yan XJ, Barrientos JC, Rai KR, Stamatopoulos K, Chiorazzi N. CLL stereotyped B-cell receptor immunoglobulin sequences are recurrent in the B-cell repertoire of healthy individuals: Apparent lack of central and early peripheral tolerance censoring. Front Oncol 2023; 13:1112879. [PMID: 37007084 PMCID: PMC10063922 DOI: 10.3389/fonc.2023.1112879] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 02/23/2023] [Indexed: 03/19/2023] Open
Abstract
IntroductionThe leukemic cells of patients with chronic lymphocytic leukemia (CLL) are often unique, expressing remarkably similar IGHV-IGHD-IGHJ gene rearrangements, “stereotyped BCRs”. The B-cell receptors (BCRs) on CLL cells are also distinctive in often deriving from autoreactive B lymphocytes, leading to the assumption of a defect in immune tolerance.ResultsUsing bulk and single-cell immunoglobulin heavy and light chain variable domain sequencing, we enumerated CLL stereotype-like IGHV-IGHD-IGHJ sequences (CLL-SLS) in B cells from cord blood (CB) and adult peripheral blood (PBMC) and bone marrow (BM of healthy donors. CLL-SLS were found at similar frequencies among CB, BM, and PBMC, suggesting that age does not influence CLL-SLS levels. Moreover, the frequencies of CLL-SLS did not differ among B lymphocytes in the BM at early stages of development, and only re-circulating marginal zone B cells contained significantly higher CLL-SLS frequencies than other mature B-cell subpopulations. Although we identified CLL-SLS corresponding to most of the CLL major stereotyped subsets, CLL-SLS frequencies did not correlate with those found in patients. Interestingly, in CB samples, half of the CLL-SLS identified were attributed to two IGHV-mutated subsets. We also found satellite CLL-SLS among the same normal samples, and they were also enriched in naïve B cells but unexpectedly, these were ~10-fold higher than standard CLL-SLS. In general, IGHV-mutated CLL-SLS subsets were enriched among antigen-experienced B-cell subpopulations, and IGHV-unmutated CLL-SLS were found mostly in antigen-inexperienced B cells. Nevertheless, CLL-SLS with an IGHV-mutation status matching that of CLL clones varied among the normal B-cell subpopulations, suggesting that specific CLL-SLS could originate from distinct subpopulations of normal B cells. Lastly, using single-cell DNA sequencing, we identified paired IGH and IGL rearrangements in normal B lymphocytes resembling those of stereotyped BCRs in CLL, although some differed from those in patients based on IG isotype or somatic mutation.DiscussionCLL-SLS are present in normal B-lymphocyte populations at all stages of development. Thus, despite their autoreactive profile they are not deleted by central tolerance mechanisms, possibly because the level of autoreactivity is not registered as dangerous by deletion mechanisms or because editing of L-chain variable genes occurred which our experimental approach could not identify.
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Affiliation(s)
- Stefano Vergani
- Karches Center for Oncology Research, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, United States
| | - Davide Bagnara
- Karches Center for Oncology Research, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, United States
| | - Andreas Agathangelidis
- Centre for Research and Technology Hellas, Institute of Applied Biosciences, Thessaloniki, Greece
- Department of Biology, School of Science, National and Kapodistrian University of Athens, Athens, Greece
| | - Anita Kar Yun Ng
- Karches Center for Oncology Research, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, United States
| | - Gerardo Ferrer
- Karches Center for Oncology Research, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, United States
| | - Andrea N. Mazzarello
- Karches Center for Oncology Research, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, United States
| | - Florencia Palacios
- Karches Center for Oncology Research, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, United States
| | | | - Xiao-Jie Yan
- Karches Center for Oncology Research, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, United States
| | - Jaqueline C. Barrientos
- Karches Center for Oncology Research, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, United States
| | - Kanti R. Rai
- Karches Center for Oncology Research, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, United States
| | - Kostas Stamatopoulos
- Centre for Research and Technology Hellas, Institute of Applied Biosciences, Thessaloniki, Greece
| | - Nicholas Chiorazzi
- Karches Center for Oncology Research, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, United States
- *Correspondence: Nicholas Chiorazzi,
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6
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Waltari E, Nafees S, McCutcheon KM, Wong J, Pak JE. AIRRscape: An interactive tool for exploring B-cell receptor repertoires and antibody responses. PLoS Comput Biol 2022; 18:e1010052. [PMID: 36126074 PMCID: PMC9524643 DOI: 10.1371/journal.pcbi.1010052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 09/30/2022] [Accepted: 09/04/2022] [Indexed: 11/18/2022] Open
Abstract
The sequencing of antibody repertoires of B-cells at increasing coverage and depth has led to the identification of vast numbers of immunoglobulin heavy and light chains. However, the size and complexity of these Adaptive Immune Receptor Repertoire sequencing (AIRR-seq) datasets makes it difficult to perform exploratory analyses. To aid in data exploration, we have developed AIRRscape, an R Shiny-based interactive web browser application that enables B-cell receptor (BCR) and antibody feature discovery through comparisons among multiple repertoires. Using AIRR-seq data as input, AIRRscape starts by aggregating and sorting repertoires into interactive and explorable bins of germline V-gene, germline J-gene, and CDR3 length, providing a high-level view of the entire repertoire. Interesting subsets of repertoires can be quickly identified and selected, and then network topologies of CDR3 motifs can be generated for further exploration. Here we demonstrate AIRRscape using patient BCR repertoires and sequences of published monoclonal antibodies to investigate patterns of humoral immunity to three viral pathogens: SARS-CoV-2, HIV-1, and DENV (dengue virus). AIRRscape reveals convergent antibody sequences among datasets for all three pathogens, although HIV-1 antibody datasets display limited convergence and idiosyncratic responses. We have made AIRRscape available as a web-based Shiny application, along with code on GitHub to encourage its open development and use by immuno-informaticians, virologists, immunologists, vaccine developers, and other scientists that are interested in exploring and comparing multiple immune receptor repertoires.
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Affiliation(s)
- Eric Waltari
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
- * E-mail: (EW); (JEP)
| | - Saba Nafees
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | | | - Joan Wong
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - John E. Pak
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
- * E-mail: (EW); (JEP)
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7
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Zheng B, Yang Y, Chen L, Wu M, Zhou S. B-Cell Receptor Repertoire Sequencing: Deeper Digging into the Mechanisms and Clinical Aspects of Immune-mediated Diseases. iScience 2022; 25:105002. [PMID: 36157582 PMCID: PMC9494237 DOI: 10.1016/j.isci.2022.105002] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
B cells play an essential role in adaptive immunity and are intimately correlated with pleiotropic immune-mediated diseases. Each B cell occupies a unique B cell receptor (BCR), and all BCRs throughout our body form “BCR repertoire.” With the development of sequencing technology and coupled bioinformatics, accumulating evidence indicates that BCR repertoire largely varies under physiological and pathological conditions. Therefore, comprehensive grasp of BCR repertoire will provide new insights into the pathogenesis of immune-mediated diseases and help exploit efficient diagnostic and treatment strategies. In this review, we start with an overview of BCR repertoire and related sequencing technologies and summarize their current applications in immune-mediated diseases. We also underscore the challenges of this emerging field and propose promising future directions in advancing BCR repertoire exploration.
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Affiliation(s)
- Bohao Zheng
- Wuxi School of Medicine, Jiangnan University, Wuxi, P. R. China
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE and State Key Laboratory of Biotherapy, West China Second Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, P. R. China
| | - Yuqing Yang
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE and State Key Laboratory of Biotherapy, West China Second Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, P. R. China
| | - Lin Chen
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE and State Key Laboratory of Biotherapy, West China Second Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, P. R. China
| | - Mengrui Wu
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE and State Key Laboratory of Biotherapy, West China Second Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, P. R. China
| | - Shengtao Zhou
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE and State Key Laboratory of Biotherapy, West China Second Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, P. R. China
- Corresponding author
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8
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Bagnara D, Colombo M, Reverberi D, Matis S, Massara R, Cardente N, Ubezio G, Agostini V, Agnelli L, Neri A, Cardillo M, Vergani S, Ghiotto F, Mazzarello AN, Morabito F, Cutrona G, Ferrarini M, Fais F. Characterizing Features of Human Circulating B Cells Carrying CLL-Like Stereotyped Immunoglobulin Rearrangements. Front Oncol 2022; 12:894419. [PMID: 35837088 PMCID: PMC9275393 DOI: 10.3389/fonc.2022.894419] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 05/18/2022] [Indexed: 11/13/2022] Open
Abstract
Chronic Lymphocytic Leukemia (CLL) is characterized by the accumulation of monoclonal CD5+ B cells with low surface immunoglobulins (IG). About 40% of CLL clones utilize quasi-identical B cell receptors, defined as stereotyped BCR. CLL-like stereotyped-IG rearrangements are present in normal B cells as a part of the public IG repertoire. In this study, we collected details on the representation and features of CLL-like stereotyped-IG in the IGH repertoire of B-cell subpopulations purified from the peripheral blood of nine healthy donors. The B-cell subpopulations were also fractioned according to the expression of surface CD5 molecules and IG light chain, IGκ and IGλ. IG rearrangements, obtained by high throughput sequencing, were scanned for the presence of CLL-like stereotyped-IG. CLL-like stereotyped-IG did not accumulate preferentially in the CD5+ B cells, nor in specific B-cell subpopulations or the CD5+ cell fraction thereof, and their distribution was not restricted to a single IG light chain type. CLL-like stereotyped-IG shared with the corresponding CLL stereotype rearrangements the IGHV mutational status. Instead, for other features such as IGHV genes and frequency, CLL stereotyped-IGs presented a CLL-like subset specific behavior which could, or could not, be consistent with CLL stereotyped-IGs. Therefore, as opposed to the immuno-phenotype, the features of the CLL stereotyped-IG repertoire suggest a CLL stereotyped subset-specific ontogeny. Overall, these findings suggest that the immune-genotype can provide essential details in tracking and defining the CLL cell of origin.
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Affiliation(s)
- Davide Bagnara
- Department of Experimental Medicine, University of Genoa, Genoa, Italy
- *Correspondence: Davide Bagnara,
| | - Monica Colombo
- Molecular Pathology, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Daniele Reverberi
- Molecular Pathology, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Serena Matis
- Molecular Pathology, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Rosanna Massara
- Molecular Pathology, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Niccolò Cardente
- Department of Experimental Medicine, University of Genoa, Genoa, Italy
| | - Gianluca Ubezio
- Transfusion Centre, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Vanessa Agostini
- Transfusion Centre, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Luca Agnelli
- Department of Pathology, IRCCS Istituto Nazionale dei Tumori, Milan, Italy
- Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy
| | - Antonino Neri
- Scientific Directorate, Azienza Unità Sanitaria Locale (USL)-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Martina Cardillo
- Karches Center for Oncology Research, The Feinstein Institute for Medical Research, Manhasset, NY, United States
| | - Stefano Vergani
- Developmental Immunology Unit, Division of Molecular Hematology, Department of Laboratory Medicine, Lund Stem Cell Center, Lund University, Lund, Sweden
| | - Fabio Ghiotto
- Department of Experimental Medicine, University of Genoa, Genoa, Italy
- Molecular Pathology, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | | | - Fortunato Morabito
- Hematology and Bone Marrow Transplant Unit, Hemato-Oncology Department, Augusta Victoria Hospital, East Jerusalem, Israel
- Biothecnology Research Unit, AO of Cosenza, Cosenza, Italy
| | - Giovanna Cutrona
- Molecular Pathology, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Manlio Ferrarini
- Department of Experimental Medicine, University of Genoa, Genoa, Italy
| | - Franco Fais
- Department of Experimental Medicine, University of Genoa, Genoa, Italy
- Molecular Pathology, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
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9
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Myc-Interacting Zinc Finger Protein 1 (Miz-1) Is Essential to Maintain Homeostasis and Immunocompetence of the B Cell Lineage. BIOLOGY 2022; 11:biology11040504. [PMID: 35453704 PMCID: PMC9027237 DOI: 10.3390/biology11040504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 03/18/2022] [Accepted: 03/23/2022] [Indexed: 11/16/2022]
Abstract
Aging of the immune system is described as a progressive loss of the ability to respond to immunologic stimuli and is commonly referred to as immunosenescence. B cell immunosenescence is characterized by a decreased differentiation rate in the bone marrow and accumulation of antigen-experienced and age-associated B cells in secondary lymphoid organs (SLOs). A specific deletion of the POZ-domain of the transcription factor Miz-1 in pro-B cells, which is known to be involved in bone marrow hematopoiesis, leads to premature aging of the B cell lineage. In mice, this causes a severe reduction in bone marrow-derived B cells with a drastic decrease from the pre-B cell stage on. Further, mature, naïve cells in SLOs are reduced at an early age, while post-activation-associated subpopulations increase prematurely. We propose that Miz-1 interferes at several key regulatory checkpoints, critical during B cell aging, and counteracts a premature loss of immunocompetence. This enables the use of our mouse model to gain further insights into mechanisms of B cell aging and it can significantly contribute to understand molecular causes of impaired adaptive immune responses to counteract loss of immunocompetence and restore a functional immune response in the elderly.
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10
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Immune Memory in Aging: a Wide Perspective Covering Microbiota, Brain, Metabolism, and Epigenetics. Clin Rev Allergy Immunol 2021; 63:499-529. [PMID: 34910283 PMCID: PMC8671603 DOI: 10.1007/s12016-021-08905-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/24/2021] [Indexed: 11/06/2022]
Abstract
Non-specific innate and antigen-specific adaptive immunological memories are vital evolutionary adaptations that confer long-lasting protection against a wide range of pathogens. Adaptive memory is established by memory T and B lymphocytes following the recognition of an antigen. On the other hand, innate immune memory, also called trained immunity, is imprinted in innate cells such as macrophages and natural killer cells through epigenetic and metabolic reprogramming. However, these mechanisms of memory generation and maintenance are compromised as organisms age. Almost all immune cell types, both mature cells and their progenitors, go through age-related changes concerning numbers and functions. The aging immune system renders the elderly highly susceptible to infections and incapable of mounting a proper immune response upon vaccinations. Besides the increased infectious burden, older individuals also have heightened risks of metabolic and neurodegenerative diseases, which have an immunological component. This review discusses how immune function, particularly the establishment and maintenance of innate and adaptive immunological memory, regulates and is regulated by epigenetics, metabolic processes, gut microbiota, and the central nervous system throughout life, with a focus on old age. We explain in-depth how epigenetics and cellular metabolism impact immune cell function and contribute or resist the aging process. Microbiota is intimately linked with the immune system of the human host, and therefore, plays an important role in immunological memory during both homeostasis and aging. The brain, which is not an immune-isolated organ despite former opinion, interacts with the peripheral immune cells, and the aging of both systems influences the health of each other. With all these in mind, we aimed to present a comprehensive view of the aging immune system and its consequences, especially in terms of immunological memory. The review also details the mechanisms of promising anti-aging interventions and highlights a few, namely, caloric restriction, physical exercise, metformin, and resveratrol, that impact multiple facets of the aging process, including the regulation of innate and adaptive immune memory. We propose that understanding aging as a complex phenomenon, with the immune system at the center role interacting with all the other tissues and systems, would allow for more effective anti-aging strategies.
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11
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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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12
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Vlachonikola E, Sofou E, Chatzidimitriou A, Stamatopoulos K, Agathangelidis A. The Significance of B-cell Receptor Stereotypy in Chronic Lymphocytic Leukemia: Biological and Clinical Implications. Hematol Oncol Clin North Am 2021; 35:687-702. [PMID: 34174980 DOI: 10.1016/j.hoc.2021.03.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
The finding that (quasi)identical, stereotyped B-cell receptor (BcR) immunoglobulins IGs) are expressed in a significant fraction of chronic lymphocytic leukemia (CLL) highlighted the importance of antigen selection in disease pathogenesis. Subsets of patients sharing the same stereotyped BcR IG display consistent biological features and, at least for certain subsets, clinical presentation and outcome, including the response to particular treatment. On these grounds, BcR IG stereotypy emerges as a useful tool for dissecting the pronounced heterogeneity of CLL toward refining risk stratification and therapeutic management aligned with the principles of precision medicine.
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Affiliation(s)
- Elisavet Vlachonikola
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, 6th km Charilaou - Thermis, 57001 Thermi, Thessaloniki, Greece; Department of Genetics and Molecular Biology, Faculty of Biology, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece
| | - Electra Sofou
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, 6th km Charilaou - Thermis, 57001 Thermi, Thessaloniki, Greece; Laboratory of Biological Chemistry, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece
| | - Anastasia Chatzidimitriou
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, 6th km Charilaou - Thermis, 57001 Thermi, Thessaloniki, Greece; Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala 75236, Sweden
| | - Kostas Stamatopoulos
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, 6th km Charilaou - Thermis, 57001 Thermi, Thessaloniki, Greece; Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala 75236, Sweden.
| | - Andreas Agathangelidis
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, 6th km Charilaou - Thermis, 57001 Thermi, Thessaloniki, Greece
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13
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Perez-Chacon G, Zapata JM. The Traf2DNx BCL2-tg Mouse Model of Chronic Lymphocytic Leukemia/Small Lymphocytic Lymphoma Recapitulates the Biased IGHV Gene Usage, Stereotypy, and Antigen-Specific HCDR3 Selection of Its Human Counterpart. Front Immunol 2021; 12:627602. [PMID: 33912159 PMCID: PMC8072112 DOI: 10.3389/fimmu.2021.627602] [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: 11/09/2020] [Accepted: 03/08/2021] [Indexed: 12/13/2022] Open
Abstract
Chronic lymphocytic leukemia (CLL)/Small lymphocytic lymphoma (SLL) is a heterogeneous disease consisting of at least two separate subtypes, based on the mutation status of the immunoglobulin heavy chain variable gene (IGHV) sequence. Exposure to antigens seems to play a role in malignant transformation and in the selection and expansion of more aggressive CLL clones. Furthermore, a biased usage of particular IGHV gene subgroups and the existence of stereotyped B-cell receptors (BCRs) are distinctive characteristics of human CLL. We have previously described that Traf2DN/BCL2 double-transgenic (tg, +/+) mice develop CLL/SLL with high incidence with aging. In this model, TNF-Receptor Associated Factor (TRAF)-2 deficiency cooperates with B cell lymphoma (BCL)-2 in promoting CLL/SLL in mice by specifically enforcing marginal zone (MZ) B cell differentiation and rendering B cells independent of BAFF for survival. In this report, we have performed the sequencing of the IGHV-D-J rearrangements of B cell clones from the Traf2DN/BCL2-tg+/+ mice with CLL/SLL. The results indicate that these mice develop oligoclonal and monoclonal B cell expansions. Allotransplantation of the oligoclonal populations into immunodeficient mice resulted in the preferential expansion of one of the parental clones. The analysis of the IGHV sequences indicated that 15% were mutated (M) and 85% unmutated (UM). Furthermore, while the Traf2DN/BCL2-tg-/- (wild-type), -/+ (BCL2 single-tg) and +/- (Traf2DNDN single-tg) littermates showed the expression of various IGHV gene subgroups, the CLL/SLL expanded clones from the Traf2DN/BCL2-tg+/+ (double-transgenic) mice showed a more restricted IGHV gene subgroup usage and an overrepresentation of particular IGHV genes. In addition, the HCDR3-encoded protein sequence indicates the existence of stereotyped immunoglobulin (Ig) in the BCRs and strong similarities with BCR recognizing autoantigens and pathogen-associated antigens. Altogether, these results highlight the remarkable similarities between the CLL/SLL developed by the Traf2DN/BCL2-tg+/+ mice and its human counterpart.
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Affiliation(s)
- Gema Perez-Chacon
- Instituto de Investigaciones Biomédicas "Alberto Sols", CSIC-UAM, Madrid, Spain.,Instituto de Investigación Hospital Universitario La Paz (IDIPAZ), Madrid, Spain
| | - Juan M Zapata
- Instituto de Investigaciones Biomédicas "Alberto Sols", CSIC-UAM, Madrid, Spain.,Instituto de Investigación Hospital Universitario La Paz (IDIPAZ), Madrid, Spain
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14
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Liu D, Wang Y, Zhao B, Lan L, Liu Y, Bao L, Chen H, Yang M, Li Q, Zeng Y. Overall reduced lymphocyte especially T and B subsets closely related to the poor prognosis and the disease severity in severe patients with COVID-19 and diabetes mellitus. Diabetol Metab Syndr 2021; 13:5. [PMID: 33436069 PMCID: PMC7802992 DOI: 10.1186/s13098-020-00622-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 12/29/2020] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND A dysregulated host immune response is common in patients with COVID-19. AIM In this study, we aimed to define the characteristics of lymphocyte subsets and their relationship with disease progression in COVID-19 patients with or without diabetes mellitus (DM). METHODS The baseline peripheral lymphocyte subsets were compared between 55 healthy controls and 95 patients with confirmed COVID-19, and between severe and non-severe COVID-19 patients with or without DM. RESULTS The prevalence of DM in the COVID-19 group was 20%, and patients with severe COVID-19 had a higher prevalence of DM than those with non-severe disease (P = 0.006). Moreover, a significantly poor prognosis and a higher rate of severity were found in those with DM relative to those without DM (P = 0.001, 0.003). Generally, all lymphocytes and subsets of lymphocytes, especially B and T cells, were significant reduced in COVID-19 patients, particularly in those with DM. Patients with severe COVID-19 and DM had the lowest lymphocyte counts compared with those with severe COVID-19 without DM, and those with non-severe COVID-19 with or without DM. Partially decreased lymphocyte subsets, age and DM were closely related to disease progression and prognosis. CONCLUSIONS These findings provide a reference for clinicians that immunomodulatory treatment may improve disease progression and prognosis of COVID-19 patients, especially those with severe disease with DM. Trial registration Chinese Clinical Trial Register ChiCTR2000034563.
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Affiliation(s)
- Dafeng Liu
- Department of Internal Medicine, the Public and Health Clinic Centre of Chengdu, No. 18 Jingjusi Road, Jinjiang District, Chengdu, 610066, Sichuan, China.
| | - Yong Wang
- Department of Internal Medicine, the Public and Health Clinic Centre of Chengdu, No. 18 Jingjusi Road, Jinjiang District, Chengdu, 610066, Sichuan, China
| | - Bennan Zhao
- Department of Internal Medicine, the Public and Health Clinic Centre of Chengdu, No. 18 Jingjusi Road, Jinjiang District, Chengdu, 610066, Sichuan, China
| | - Lijuan Lan
- Department of Internal Medicine, the Public and Health Clinic Centre of Chengdu, No. 18 Jingjusi Road, Jinjiang District, Chengdu, 610066, Sichuan, China
| | - Yaling Liu
- Department of Internal Medicine, the Public and Health Clinic Centre of Chengdu, No. 18 Jingjusi Road, Jinjiang District, Chengdu, 610066, Sichuan, China
| | - Lei Bao
- Department of Internal Medicine, the Public and Health Clinic Centre of Chengdu, No. 18 Jingjusi Road, Jinjiang District, Chengdu, 610066, Sichuan, China
| | - Hong Chen
- Department of the Severe Second Ward, The Public and Health Clinic Centre of Chengdu, Chengdu, China
| | - Min Yang
- Department of the Tuberculosis First Ward, The Public and Health Clinic Centre of Chengdu, Chengdu, China
| | - Qingfeng Li
- Department of Clinical Medical Laboratory, The Public and Health Clinic Centre of Chengdu, Chengdu, China
| | - Yilan Zeng
- Department of Vice President's Office, The Public and Health Clinic Centre of Chengdu, No. 18 Jingjusi Road, Jinjiang District, Chengdu, 610066, Sichuan, China.
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15
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Reading the B-cell receptor immunome in chronic lymphocytic leukemia: revelations and applications. Exp Hematol 2020; 93:14-24. [PMID: 32976948 DOI: 10.1016/j.exphem.2020.09.194] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 08/25/2020] [Accepted: 09/19/2020] [Indexed: 12/19/2022]
Abstract
B-Cell receptor (BCR) sequencing has been the force driving many recent advances in chronic lymphocytic leukemia (CLL) research. Here, we discuss the general principles, revelations, and applications of reading the BCR immunome in the context of CLL. First, IGHV mutational status, obtained by measuring the mutational imprint on the IGHV gene of the CLL clonotype, is the cornerstone of CLL risk stratification. Furthermore, the discovery of "BCR-stereotyped" groups of unrelated patients that share not only a highly similar BCR on their leukemic clone, but also certain clinical characteristics has provided insights key to understanding disease ontogeny. Additionally, whereas the BCR repertoire of most CLL patients is characterized by a single dominant rearrangement, next-generation sequencing (NGS) has revealed a rich subclonal landscape in a larger than previously expected proportion of CLL patients. We review the mechanisms underlying these "multiple dominant" cases, including V(D)J-recombination errors, failure of allelic exclusion, intraclonal diversification, and "true" bi- or oligoclonality, and their implications, in detail. Finally, BCR repertoire sequencing can be used for sensitive quantification of minimal residual disease to potentially unprecedented depth. To surmount pitfalls inherent to this approach and develop internationally harmonized protocols, the EuroClonality-NGS Working Group has been established.
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16
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Kuri-Cervantes L, Pampena MB, Meng W, Rosenfeld AM, Ittner CAG, Weisman AR, Agyekum RS, Mathew D, Baxter AE, Vella LA, Kuthuru O, Apostolidis SA, Bershaw L, Dougherty J, Greenplate AR, Pattekar A, Kim J, Han N, Gouma S, Weirick ME, Arevalo CP, Bolton MJ, Goodwin EC, Anderson EM, Hensley SE, Jones TK, Mangalmurti NS, Luning Prak ET, Wherry EJ, Meyer NJ, Betts MR. Comprehensive mapping of immune perturbations associated with severe COVID-19. Sci Immunol 2020; 5:eabd7114. [PMID: 32669287 PMCID: PMC7402634 DOI: 10.1126/sciimmunol.abd7114] [Citation(s) in RCA: 561] [Impact Index Per Article: 140.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 07/10/2020] [Indexed: 01/08/2023]
Abstract
Although critical illness has been associated with SARS-CoV-2-induced hyperinflammation, the immune correlates of severe COVID-19 remain unclear. Here, we comprehensively analyzed peripheral blood immune perturbations in 42 SARS-CoV-2 infected and recovered individuals. We identified extensive induction and activation of multiple immune lineages, including T cell activation, oligoclonal plasmablast expansion, and Fc and trafficking receptor modulation on innate lymphocytes and granulocytes, that distinguished severe COVID-19 cases from healthy donors or SARS-CoV-2-recovered or moderate severity patients. We found the neutrophil to lymphocyte ratio to be a prognostic biomarker of disease severity and organ failure. Our findings demonstrate broad innate and adaptive leukocyte perturbations that distinguish dysregulated host responses in severe SARS-CoV-2 infection and warrant therapeutic investigation.
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Affiliation(s)
- Leticia Kuri-Cervantes
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - M Betina Pampena
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Wenzhao Meng
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, Philadelphia, PA19104, USA
| | - Aaron M Rosenfeld
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, Philadelphia, PA19104, USA
| | - Caroline A G Ittner
- Division of Pulmonary, Allergy and Critical Care, Center for Translational Lung Biology, Lung Biology Institute, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Ariel R Weisman
- Division of Pulmonary, Allergy and Critical Care, Center for Translational Lung Biology, Lung Biology Institute, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Roseline S Agyekum
- Division of Pulmonary, Allergy and Critical Care, Center for Translational Lung Biology, Lung Biology Institute, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Divij Mathew
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Amy E Baxter
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Laura A Vella
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Infectious Diseases, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, 19104, USA
| | - Oliva Kuthuru
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Sokratis A Apostolidis
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Division of Rheumatology, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, 19104, USA
| | - Luanne Bershaw
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Jeanette Dougherty
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Allison R Greenplate
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Ajinkya Pattekar
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Gastroenterology, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, 19104, USA
| | - Justin Kim
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Nicholas Han
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Sigrid Gouma
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Madison E Weirick
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Claudia P Arevalo
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Marcus J Bolton
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Eileen C Goodwin
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Elizabeth M Anderson
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Scott E Hensley
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Tiffanie K Jones
- Division of Pulmonary, Allergy and Critical Care, Center for Translational Lung Biology, Lung Biology Institute, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Nilam S Mangalmurti
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Pulmonary, Allergy and Critical Care, Center for Translational Lung Biology, Lung Biology Institute, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Eline T Luning Prak
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, Philadelphia, PA19104, USA
| | - E John Wherry
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Parker Institute for Cancer Immunotherapy at the University of Pennsylvania, Philadelphia, Pennsylvania, 19104, USA
| | - Nuala J Meyer
- Division of Pulmonary, Allergy and Critical Care, Center for Translational Lung Biology, Lung Biology Institute, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
| | - Michael R Betts
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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17
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Tang G, Yuan X, Luo Y, Lin Q, Chen Z, Xing X, Song H, Wu S, Hou H, Yu J, Mao L, Liu W, Wang F, Sun Z. Establishing immune scoring model based on combination of the number, function, and phenotype of lymphocytes. Aging (Albany NY) 2020; 12:9328-9343. [PMID: 32396527 PMCID: PMC7288950 DOI: 10.18632/aging.103208] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2020] [Accepted: 04/17/2020] [Indexed: 12/31/2022]
Abstract
Background: Quantitatively assessing host immunity remains a challenge in clinical practice. Results: Most parameters in lymphocyte number, function and phenotype were correlated with age. The reference ranges of these parameters were established in four age groups (children, adolescents, adults, and elders). The numbers of CD4+ T cells, CD8+ T cells, B cells, but not NK cells, were negatively correlated with age. However, the function of CD4+ T cells, CD8+ T cells and NK cells was positively correlated with age. The expression of CD28 on T cells gradually decreased with increasing age and was negatively correlated with their function. An opposite phenomenon was observed in the expressions of HLA-DR and CD45RO on T cells. An immune scoring model was established by using 8 parameters (CD4+ T cell number × function, CD28+CD4+ T cell number, HLA-DR+CD4+ T cell number, CD45RO+CD4+ T cell number, CD8+ T cell number × function, CD28+CD8+ T cell number, HLA-DR+CD8+ T cell number, NK cell number × function) from the results of lymphocyte number, function, and phenotype. This immune scoring model showed sensitivities of 70% and 71.4% in determining hyper-immune and hypo-immune status, respectively. Conclusions: An immune scoring model based on combination of lymphocyte number, function, and phenotype shows potential value in quantitatively assessing host immunity. Methods: 261 healthy individuals aged 1 to 82 years were recruited from Tongji Hospital. The number, function, and phenotype of CD4+ T cells, CD8+ T cells and NK cells were simultaneously determined.
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Affiliation(s)
- Guoxing Tang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xu Yuan
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ying Luo
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qun Lin
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhishui Chen
- Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Key Laboratory of Organ Transplantation, Ministry of Education, Ministry of Public Health, Chinese Academy of Medical Sciences, Beijing, China
| | - Xue Xing
- Department of Nephrology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huijuan Song
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shiji Wu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongyan Hou
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Yu
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Liyan Mao
- Center for Cellular and Molecular Diagnosis, Biochemistry and Molecular Biology, Tulane University School of Medicine, New Orleans, LA 70112, USA
| | - Weiyong Liu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Feng Wang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ziyong Sun
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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