1
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Kasten-Jolly J, Lawrence DA. Cellular and Molecular Immunity to Influenza Viruses and Vaccines. Vaccines (Basel) 2024; 12:389. [PMID: 38675771 PMCID: PMC11154265 DOI: 10.3390/vaccines12040389] [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: 03/18/2024] [Revised: 03/29/2024] [Accepted: 04/01/2024] [Indexed: 04/28/2024] Open
Abstract
Immune responses to influenza (flu) antigens reflect memory of prior infections or vaccinations, which might influence immunity to new flu antigens. Memory of past antigens has been termed "original antigenic sin" or, more recently, "immune imprinting" and "seniority". We have researched a comparison between the immune response to live flu infections and inactivated flu vaccinations. A brief history of antibody generation theories is presented, culminating in new findings about the immune-network theory and suggesting that a network of clones exists between anti-idiotypic antibodies and T cell receptors. Findings regarding the 2009 pandemic flu strain and immune responses to it are presented, including memory B cells and conserved regions within the hemagglutinin protein. The importance of CD4+ memory T cells and cytotoxic CD8+ T cells responding to both infections and vaccinations are discussed and compared. Innate immune cells, like natural killer (NK) cells and macrophages, are discussed regarding their roles in adaptive immune responses. Antigen presentation via macroautophagy processes is described. New vaccines in development are mentioned along with the results of some clinical trials. The manuscript concludes with how repeated vaccinations are impacting the immune system and a sketch of what might be behind the imprinting phenomenon, including future research directions.
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Affiliation(s)
- Jane Kasten-Jolly
- Wadsworth Center, New York State Department of Health, Albany, NY 12208, USA;
| | - David A. Lawrence
- Wadsworth Center, New York State Department of Health, Albany, NY 12208, USA;
- Departments of Biomedical Science and Environmental Health Science, University at Albany School of Public Health, Rensselaer, NY 12144, USA
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2
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Smith DM, Schafer JR, Tullius B, Witkam L, Paust S. Natural killer cells for antiviral therapy. Sci Transl Med 2023; 15:eabl5278. [PMID: 36599006 DOI: 10.1126/scitranslmed.abl5278] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Natural killer (NK) cell-based immunotherapy is being explored for treating infectious diseases, including viral infections. Here, we discuss evidence of NK cell responses to different viruses, ongoing clinical efforts to treat such infections with NK cell products, and review platforms to generate NK cell products.
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Affiliation(s)
- Davey M Smith
- Department of Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | | | | | - Laura Witkam
- Kiadis Pharma, Sanofi, 1105BP Amsterdam, Netherlands
| | - Silke Paust
- Department of Immunology and Microbiology, Scripps Research Institute, La Jolla, CA 92037, USA
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3
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Harvey AG, Graves AM, Uppalapati CK, Matthews SM, Rosenberg S, Parent EG, Fagerlie MH, Guinan J, Lopez BS, Kronstad LM. Dendritic cell-natural killer cell cross-talk modulates T cell activation in response to influenza A viral infection. Front Immunol 2022; 13:1006998. [PMID: 36618376 PMCID: PMC9815106 DOI: 10.3389/fimmu.2022.1006998] [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: 07/29/2022] [Accepted: 12/05/2022] [Indexed: 12/24/2022] Open
Abstract
Influenza viruses lead to substantial morbidity and mortality including ~3-5 million cases of severe illness and ~290,000-650,000 deaths annually. One of the major hurdles regarding influenza vaccine efficacy is generating a durable, robust cellular immune response. Appropriate stimulation of the innate immune system is key to generating cellular immunity. Cross-talk between innate dendritic cells (DC) and natural killer (NK) cells plays a key role in activating virus-specific T cells, yet the mechanisms used by influenza A viruses (IAV) to govern this process remain incompletely understood. Here, we used an ex vivo autologous human primary immune cell culture system to evaluate the impact of DC-NK cell cross-talk and subsequent naïve T cell activation at steady-state and after exposure to genetically distinct IAV strains-A/California/07/2009 (H1N1) and A/Victoria/361/2011 (H3N2). Using flow cytometry, we found that exposure of DCs to IAV in co-culture with NK cells led to a decreased frequency of CD83+ and CD86+ cells on DCs and an increased frequency of HLA-DR+ on both DCs and NK cells. We then assessed the outcome of DC-NK cell cross-talk on T cell activation. At steady-state, DC-NK cell cross-talk increased pan T cell CD69 and CD25 expression while exposure to either IAV strain reduced pan T cell CD25 expression and suppressed CD4+ and CD8+ T cell IFN-γ and TNF production, following chemical stimulation with PMA/Ionomycin. Moreover, exposure to A/Victoria/361/2011 elicited lower IFN-γ production by CD4+ and CD8+ T cells compared with A/California/07/2009. Overall, our results indicate a role for DC-NK cell cross-talk in T cell priming in the context of influenza infection, informing the immunological mechanisms that could be manipulated for the next generation of influenza vaccines or immunotherapeutics.
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Affiliation(s)
- Abigail G. Harvey
- Master of Biomedical Sciences Program, Midwestern University, Glendale, AZ, United States
| | - Athens M. Graves
- Master of Biomedical Sciences Program, Midwestern University, Glendale, AZ, United States
| | - Chandana K. Uppalapati
- Department of Microbiology and Immunology, College of Graduate Studies, Midwestern University, Glendale, AZ, United States
| | - Saoirse M. Matthews
- Master of Biomedical Sciences Program, Midwestern University, Glendale, AZ, United States
| | - Stephanie Rosenberg
- Arizona College of Osteopathic Medicine, Midwestern University, Glendale, AZ, United States
| | - Emma G. Parent
- Arizona College of Osteopathic Medicine, Midwestern University, Glendale, AZ, United States
| | - Madison H. Fagerlie
- Arizona College of Osteopathic Medicine, Midwestern University, Glendale, AZ, United States
| | - Jack Guinan
- Farm Animal Medicine, College of Veterinary Medicine, Midwestern University, Glendale, AZ, United States
| | - Brina S. Lopez
- Farm Animal Medicine, College of Veterinary Medicine, Midwestern University, Glendale, AZ, United States
| | - Lisa M. Kronstad
- Department of Microbiology and Immunology, College of Graduate Studies, Midwestern University, Glendale, AZ, United States,*Correspondence: Lisa M. Kronstad,
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4
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Le H, Spearman P, Waggoner SN, Singh K. Ebola virus protein VP40 stimulates IL-12- and IL-18-dependent activation of human natural killer cells. JCI Insight 2022; 7:158902. [PMID: 35862204 PMCID: PMC9462474 DOI: 10.1172/jci.insight.158902] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 07/18/2022] [Indexed: 11/24/2022] Open
Abstract
Accumulation of activated natural killer (NK) cells in tissues during Ebola virus infection contributes to Ebola virus disease (EVD) pathogenesis. Yet, immunization with Ebola virus-like particles (VLPs) comprising glycoprotein and matrix protein VP40 provides rapid, NK cell–mediated protection against Ebola challenge. We used Ebola VLPs as the viral surrogates to elucidate the molecular mechanism by which Ebola virus triggers heightened NK cell activity. Incubation of human peripheral blood mononuclear cells with Ebola VLPs or VP40 protein led to increased expression of IFN-γ, TNF-α, granzyme B, and perforin by CD3–CD56+ NK cells, along with increases in degranulation and cytotoxic activity of these cells. Optimal activation required accessory cells like CD14+ myeloid and CD14– cells and triggered increased secretion of numerous inflammatory cytokines. VP40-induced IFN-γ and TNF-α secretion by NK cells was dependent on IL-12 and IL-18 and suppressed by IL-10. In contrast, their increased degranulation was dependent on IL-12 with little influence of IL-18 or IL-10. These results demonstrate that Ebola VP40 stimulates NK cell functions in an IL-12– and IL-18–dependent manner that involves CD14+ and CD14– accessory cells. These potentially novel findings may help in designing improved intervention strategies required to control viral transmission during Ebola outbreaks.
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Affiliation(s)
- Hung Le
- Division of Infectious Diseases, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, United States of America
| | - Paul Spearman
- Division of Infectious Diseases, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, United States of America
| | - Stephen N Waggoner
- Division of Human Genetics, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, United States of America
| | - Karnail Singh
- Division of Infectious Diseases, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, United States of America
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5
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Gleason J, Zhao Y, Raitman I, Kang L, He S, Hariri R. Human placental hematopoietic stem cell derived natural killer cells (CYNK-001) mediate protection against influenza a viral infection. Hum Vaccin Immunother 2022; 18:2055945. [PMID: 35404743 PMCID: PMC9255201 DOI: 10.1080/21645515.2022.2055945] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Influenza A virus (IAV) infections are associated with a high healthcare burden around the world and there is an urgent need to develop more effective therapies. Natural killer (NK) cells have been shown to play a pivotal role in reducing IAV-induced pulmonary infections in preclinical models; however, little is known about the therapeutic potential of adoptively transferred NK cells for IAV infections. Here, we investigated the effects of CYNK-001, human placental hematopoietic stem cell derived NK cells that exhibited strong cytolytic activity against a range of malignant cells and expressed high levels of activating receptors, against IAV infections. In a severe IAV-induced acute lung injury model, mice treated with CYNK-001 showed a milder body weight loss and clinical symptoms, which led to a delayed onset of mortality, thus demonstrating their antiviral protection in vivo. Analysis of bronchoalveolar lavage fluid (BALF) revealed that CYNK-001 reduced proinflammatory cytokines and chemokines highlighting CYNK-001’s anti-inflammatory actions in viral induced-lung injury. Furthermore, CYNK-001-treated mice had altered immune responses to IAV with reduced number of neutrophils in BALF yet increased number of CD8+ T cells in the BALF and lung compared to vehicle-treated mice. Our results demonstrate that CYNK-001 displays protective functions against IAV via its anti-inflammatory and immunomodulating activities, which leads to alleviation of disease burden and progression in a severe IAV-infected mice model. The potential of adoptive NK therapy for IAV infections warrants clinical investigation.
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Affiliation(s)
| | - Yuechao Zhao
- Celularity Inc., Florham Park, New Jersey, NJ, USA
| | | | - Lin Kang
- Celularity Inc., Florham Park, New Jersey, NJ, USA
| | - Shuyang He
- Celularity Inc., Florham Park, New Jersey, NJ, USA
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6
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Phenotypic and Functional Characteristics of a Novel Influenza Virus Hemagglutinin-Specific Memory NK Cell. J Virol 2021; 95:JVI.00165-21. [PMID: 33827945 DOI: 10.1128/jvi.00165-21] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 03/28/2021] [Indexed: 12/30/2022] Open
Abstract
Immune memory represents the most efficient defense against invasion and transmission of infectious pathogens. In contrast to memory T and B cells, the roles of innate immunity in recall responses remain inconclusive. In this study, we identified a novel mouse spleen NK cell subset expressing NKp46 and NKG2A induced by intranasal influenza virus infection. These memory NK cells specifically recognize N-linked glycosylation sites on influenza hemagglutinin (HA) protein. Different from memory-like NK cells reported previously, these NKp46+ NKG2A+ memory NK cells exhibited HA-specific silence of cytotoxicity but increase of gamma interferon (IFN-γ) response against influenza virus-infected cells, which could be reversed by pifithrin-μ, a p53-heat shock protein 70 (HSP70) signaling inhibitor. During recall responses, splenic NKp46+ NKG2A+ NK cells were recruited to infected lung and modulated viral clearance of virus and CD8+ T cell distribution, resulting in improved clinical outcomes. This long-lived NK memory bridges innate and adaptive immune memory response and promotes the homeostasis of local environment during recall response.IMPORTANCE In this study, we demonstrate a novel hemagglutinin (HA)-specific NKp46+ NKG2A+ NK cell subset induced by influenza A virus infection. These memory NK cells show virus-specific decreased cytotoxicity and increased gamma interferon (IFN-γ) on reencountering the same influenza virus antigen. In addition, they modulate host recall responses and CD8 T cell distribution, thus bridging the innate immune and adaptive immune responses during influenza virus infection.
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7
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Seiler C, Ferreira AM, Kronstad LM, Simpson LJ, Le Gars M, Vendrame E, Blish CA, Holmes S. CytoGLMM: conditional differential analysis for flow and mass cytometry experiments. BMC Bioinformatics 2021; 22:137. [PMID: 33752595 PMCID: PMC7983283 DOI: 10.1186/s12859-021-04067-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 03/03/2021] [Indexed: 11/10/2022] Open
Abstract
Background Flow and mass cytometry are important modern immunology tools for measuring expression levels of multiple proteins on single cells. The goal is to better understand the mechanisms of responses on a single cell basis by studying differential expression of proteins. Most current data analysis tools compare expressions across many computationally discovered cell types. Our goal is to focus on just one cell type. Our narrower field of application allows us to define a more specific statistical model with easier to control statistical guarantees. Results Differential analysis of marker expressions can be difficult due to marker correlations and inter-subject heterogeneity, particularly for studies of human immunology. We address these challenges with two multiple regression strategies: a bootstrapped generalized linear model and a generalized linear mixed model. On simulated datasets, we compare the robustness towards marker correlations and heterogeneity of both strategies. For paired experiments, we find that both strategies maintain the target false discovery rate under medium correlations and that mixed models are statistically more powerful under the correct model specification. For unpaired experiments, our results indicate that much larger patient sample sizes are required to detect differences. We illustrate the CytoGLMM R package and workflow for both strategies on a pregnancy dataset. Conclusion Our approach to finding differential proteins in flow and mass cytometry data reduces biases arising from marker correlations and safeguards against false discoveries induced by patient heterogeneity.
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Affiliation(s)
- Christof Seiler
- Department of Data Science and Knowledge Engineering, Maastricht University, Maastricht, The Netherlands. .,Mathematics Centre Maastricht, Maastricht University, Maastricht, The Netherlands. .,Department of Statistics, Stanford University, Stanford, USA.
| | | | - Lisa M Kronstad
- Immunology Program, Stanford University School of Medicine, Stanford, USA.,Department of Medicine, Stanford University School of Medicine, Stanford, USA.,Department of Microbiology and Immunology, Midwestern University, Downers Grove, USA
| | - Laura J Simpson
- Immunology Program, Stanford University School of Medicine, Stanford, USA.,Department of Medicine, Stanford University School of Medicine, Stanford, USA
| | - Mathieu Le Gars
- Immunology Program, Stanford University School of Medicine, Stanford, USA.,Department of Medicine, Stanford University School of Medicine, Stanford, USA
| | - Elena Vendrame
- Immunology Program, Stanford University School of Medicine, Stanford, USA.,Department of Medicine, Stanford University School of Medicine, Stanford, USA
| | - Catherine A Blish
- Immunology Program, Stanford University School of Medicine, Stanford, USA.,Department of Medicine, Stanford University School of Medicine, Stanford, USA.,Chan Zuckerberg Biohub, San Francisco, USA
| | - Susan Holmes
- Department of Statistics, Stanford University, Stanford, USA
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8
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Latino I, Gonzalez SF. Spatio-temporal profile of innate inflammatory cells and mediators during influenza virus infection. CURRENT OPINION IN PHYSIOLOGY 2021. [DOI: 10.1016/j.cophys.2020.10.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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9
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Xu Q, Tang Y, Huang G. Innate immune responses in RNA viral infection. Front Med 2020; 15:333-346. [PMID: 33263837 PMCID: PMC7862985 DOI: 10.1007/s11684-020-0776-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Accepted: 03/14/2020] [Indexed: 12/17/2022]
Abstract
RNA viruses cause a multitude of human diseases, including several pandemic events in the past century. Upon viral invasion, the innate immune system responds rapidly and plays a key role in activating the adaptive immune system. In the innate immune system, the interactions between pathogen-associated molecular patterns and host pattern recognition receptors activate multiple signaling pathways in immune cells and induce the production of pro-inflammatory cytokines and interferons to elicit antiviral responses. Macrophages, dendritic cells, and natural killer cells are the principal innate immune components that exert antiviral activities. In this review, the current understanding of innate immunity contributing to the restriction of RNA viral infections was briefly summarized. Besides the main role of immune cells in combating viral infection, the intercellular transfer of pathogen and host-derived materials and their epigenetic and metabolic interactions associated with innate immunity was discussed. This knowledge provides an enhanced understanding of the innate immune response to RNA viral infections in general and aids in the preparation for the existing and next emerging viral infections.
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Affiliation(s)
- Qian Xu
- Divisions of Pathology and Experimental Hematology and Cancer Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA.,Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yuting Tang
- Divisions of Pathology and Experimental Hematology and Cancer Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA
| | - Gang Huang
- Divisions of Pathology and Experimental Hematology and Cancer Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA.
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10
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van der Heide SL, Xi Y, Upham JW. Natural Killer Cells and Host Defense Against Human Rhinoviruses Is Partially Dependent on Type I IFN Signaling. Front Cell Infect Microbiol 2020; 10:510619. [PMID: 33194777 PMCID: PMC7609819 DOI: 10.3389/fcimb.2020.510619] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Accepted: 10/02/2020] [Indexed: 12/12/2022] Open
Abstract
Rhinovirus (RV), the causative agent of the common cold, causes only mild upper respiratory tract infections in healthy individuals, but can cause longer lasting and more severe pulmonary infections in people with chronic lung diseases and in the setting of immune suppression or immune deficiency. RV-infected lung structural cells release type I interferon (IFN-I), initiating the immune response, leading to protection against viruses in conjunction with migratory immune cells. However, IFN-I release is deficient in some people with asthma. Innate immune cells, such as natural killer (NK) cells, are proposed to play major roles in the control of viral infections, and may contribute to exacerbations of chronic lung diseases, such as asthma. In this study, we characterized the NK cell response to RV infection using an in vitro model of infection in healthy individuals, and determined the extent to which IFN-I signaling mediates this response. The results indicate that RV stimulation in vitro induces NK cell activation in healthy donors, leading to degranulation and the release of cytotoxic mediators and cytokines. IFN-I signaling was partly responsible for NK cell activation and functional responses to RV. Overall, our findings suggest the involvement of NK cells in the control of RV infection in healthy individuals. Further understanding of NK cell regulation may deepen our understanding of the mechanisms that contribute to susceptibility to RV infections in asthma and other chronic lung diseases.
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Affiliation(s)
- Saskia L van der Heide
- Lung and Allergy Research Centre, Diamantina Institute, The University of Queensland, Woolloongabba, QLD, Australia
| | - Yang Xi
- Lung and Allergy Research Centre, Diamantina Institute, The University of Queensland, Woolloongabba, QLD, Australia
| | - John W Upham
- Lung and Allergy Research Centre, Diamantina Institute, The University of Queensland, Woolloongabba, QLD, Australia.,Department of Respiratory Medicine, Princess Alexandra Hospital, Brisbane, QLD, Australia
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11
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McKechnie JL, Beltrán D, Ferreira AMM, Vergara R, Saenz L, Vergara O, Estripeaut D, Araúz AB, Simpson LJ, Holmes S, López-Vergès S, Blish CA. Mass Cytometry Analysis of the NK Cell Receptor-Ligand Repertoire Reveals Unique Differences between Dengue-Infected Children and Adults. Immunohorizons 2020; 4:634-647. [PMID: 33067399 PMCID: PMC8608029 DOI: 10.4049/immunohorizons.2000074] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 09/24/2020] [Indexed: 12/05/2022] Open
Abstract
Dengue virus (DENV) is a significant cause of morbidity in many regions of the world, with children at the greatest risk of developing severe dengue. NK cells, characterized by their ability to rapidly recognize and kill virally infected cells, are activated during acute DENV infection. However, their role in viral clearance versus pathogenesis has not been fully elucidated. Our goal was to profile the NK cell receptor-ligand repertoire to provide further insight into the function of NK cells during pediatric and adult DENV infection. We used mass cytometry to phenotype isolate NK cells and PBMCs from a cohort of DENV-infected children and adults. Using unsupervised clustering, we found that pediatric DENV infection leads to a decrease in total NK cell frequency with a reduction in the percentage of CD56dimCD38bright NK cells and an increase in the percentage of CD56dimperforinbright NK cells. No such changes were observed in adults. Next, we identified markers predictive of DENV infection using a differential state test. In adults, NK cell expression of activation markers, including CD69, perforin, and Fas-L, and myeloid cell expression of activating NK cell ligands, namely Fas, were predictive of infection. In contrast, increased NK cell expression of the maturation marker CD57 and myeloid cell expression of inhibitory ligands, such as HLA class I molecules, were predictive of pediatric DENV infection. These findings suggest that acute pediatric DENV infection may result in diminished NK cell activation, which could contribute to enhanced pathogenesis and disease severity.
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Affiliation(s)
- Julia L. McKechnie
- Program in Immunology, Stanford University School of Medicine, Stanford, CA 94305
| | - Davis Beltrán
- Department of Research in Virology and Biotechnology, Gorgas Memorial Institute for Health Studies, Panama City, Panama
- Institute for Scientific Research and Technology Services, Panama City, Panama
- Department of Biotechnology, Acharya Nagarjuna University, Guntur 522002, India
| | | | - Rosemary Vergara
- Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305
| | - Lisseth Saenz
- Department of Research in Virology and Biotechnology, Gorgas Memorial Institute for Health Studies, Panama City, Panama
| | - Ofelina Vergara
- Hospital del Niño Doctor José Renán Esquivel, Panama City, Panama
| | - Dora Estripeaut
- Hospital del Niño Doctor José Renán Esquivel, Panama City, Panama
| | | | - Laura J. Simpson
- Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305
| | - Susan Holmes
- Department of Statistics, Stanford University, Stanford, CA 94305
| | - Sandra López-Vergès
- Department of Research in Virology and Biotechnology, Gorgas Memorial Institute for Health Studies, Panama City, Panama
- Institute for Scientific Research and Technology Services, Panama City, Panama
- Universidad de Panama, Panama City, Panama
| | - Catherine A. Blish
- Program in Immunology, Stanford University School of Medicine, Stanford, CA 94305
- Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305
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12
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Zhang T, Warden AR, Li Y, Ding X. Progress and applications of mass cytometry in sketching immune landscapes. Clin Transl Med 2020; 10:e206. [PMID: 33135337 PMCID: PMC7556381 DOI: 10.1002/ctm2.206] [Citation(s) in RCA: 9] [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: 07/06/2020] [Revised: 09/28/2020] [Accepted: 09/28/2020] [Indexed: 12/16/2022] Open
Abstract
Recently emerged mass cytometry (cytometry by time-of-flight [CyTOF]) technology permits the identification and quantification of inherently diverse cellular systems, and the simultaneous measurement of functional attributes at the single-cell resolution. By virtue of its multiplex ability with limited need for compensation, CyTOF has led a critical role in immunological research fields. Here, we present an overview of CyTOF, including the introduction of CyTOF principle and advantages that make it a standalone tool in deciphering immune mysteries. We then discuss the functional assays, introduce the bioinformatics to interpret the data yield via CyTOF, and depict the emerging clinical and research applications of CyTOF technology in sketching immune landscape in a wide variety of diseases.
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Affiliation(s)
- Ting Zhang
- State Key laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiChina
| | - Antony R. Warden
- State Key laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiChina
| | - Yiyang Li
- State Key laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiChina
| | - Xianting Ding
- State Key laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiChina
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13
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Leylek R, Alcántara-Hernández M, Lanzar Z, Lüdtke A, Perez OA, Reizis B, Idoyaga J. Integrated Cross-Species Analysis Identifies a Conserved Transitional Dendritic Cell Population. Cell Rep 2020; 29:3736-3750.e8. [PMID: 31825848 PMCID: PMC6951814 DOI: 10.1016/j.celrep.2019.11.042] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Revised: 10/16/2019] [Accepted: 11/08/2019] [Indexed: 01/05/2023] Open
Abstract
Plasmacytoid dendritic cells (pDCs) are sensor cells with diverse immune functions, from type I interferon (IFN-I) production to antigen presentation, T cell activation, and tolerance. Regulation of these functions remains poorly understood but could be mediated by functionally specialized pDC subpopulations. We address pDC diversity using a high-dimensional single-cell approach: mass cytometry (CyTOF). Our analysis uncovers a murine pDC-like population that specializes in antigen presentation with limited capacity for IFN-I production. Using a multifaceted cross-species comparison, we show that this pDC-like population is the definitive murine equivalent of the recently described human AXL+ DCs, which we unify under the name transitional DCs (tDCs) given their continuum of pDC and cDC2 characteristics. tDCs share developmental traits with pDCs, as well as recruitment dynamics during viral infection. Altogether, we provide a framework for deciphering the function of pDCs and tDCs during diseases, which has the potential to open new avenues for therapeutic design. Dendritic cells (DCs) are unique therapeutic targets given their capacity to modulate immune responses. Yet complete alignment of the DC network between species is lacking. Using a multidimensional approach, Leylek et al. identify the mouse homolog of human AXL+ DCs, named transitional DCs (tDCs), and reveal their similarities with pDCs.
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Affiliation(s)
- Rebecca Leylek
- Microbiology & Immunology Department and Immunology Program, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Marcela Alcántara-Hernández
- Microbiology & Immunology Department and Immunology Program, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Zachary Lanzar
- Microbiology & Immunology Department and Immunology Program, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Anja Lüdtke
- Microbiology & Immunology Department and Immunology Program, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Oriana A Perez
- Department of Pathology, New York University School of Medicine, New York, NY 10016, USA
| | - Boris Reizis
- Department of Pathology, New York University School of Medicine, New York, NY 10016, USA
| | - Juliana Idoyaga
- Microbiology & Immunology Department and Immunology Program, Stanford University School of Medicine, Stanford, CA 94305, USA.
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14
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Frank K, Paust S. Dynamic Natural Killer Cell and T Cell Responses to Influenza Infection. Front Cell Infect Microbiol 2020; 10:425. [PMID: 32974217 PMCID: PMC7461885 DOI: 10.3389/fcimb.2020.00425] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 07/10/2020] [Indexed: 12/12/2022] Open
Abstract
Influenza viruses have perplexed scientists for over a hundred years. Yearly vaccines limit their spread, but they do not prevent all infections. Therapeutic treatments for those experiencing severe infection are limited; further advances are held back by insufficient understanding of the fundamental immune mechanisms responsible for immunopathology. NK cells and T cells are essential in host responses to influenza infection. They produce immunomodulatory cytokines and mediate the cytotoxic response to infection. An imbalance in NK and T cell responses can lead to two outcomes: excessive inflammation and tissue damage or insufficient anti-viral functions and uncontrolled infection. The main cause of death in influenza patients is the former, mediated by hyperinflammatory responses termed “cytokine storm.” NK cells and T cells contribute to cytokine storm, but they are also required for viral clearance. Many studies have attempted to distinguish protective and pathogenic components of the NK cell and T cell influenza response, but it has become clear that they are dynamic and integrated processes. This review will analyze how NK cell and T cell effector functions during influenza infection affect the host response and correlate with morbidity and mortality outcomes.
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Affiliation(s)
- Kayla Frank
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, United States.,The Skaggs Graduate Program in Chemical and Biological Sciences, The Scripps Research Institute, La Jolla, CA, United States
| | - Silke Paust
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, United States.,The Skaggs Graduate Program in Chemical and Biological Sciences, The Scripps Research Institute, La Jolla, CA, United States
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15
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Abstract
Cytometry technologies are able to profile immune cells at single-cell resolution. They are widely used for both clinical diagnosis and biological research. We developed a deep learning model for analyzing cytometry data. We demonstrated that the deep learning model accurately diagnoses the latent cytomegalovirus (CMV) in healthy individuals. In addition, we developed a method for interpreting the deep learning model, allowing us to identify biomarkers associated with latent CMV infection. The deep learning model is widely applicable to other cytometry data related to human diseases. Cytometry technologies are essential tools for immunology research, providing high-throughput measurements of the immune cells at the single-cell level. Existing approaches in interpreting and using cytometry measurements include manual or automated gating to identify cell subsets from the cytometry data, providing highly intuitive results but may lead to significant information loss, in that additional details in measured or correlated cell signals might be missed. In this study, we propose and test a deep convolutional neural network for analyzing cytometry data in an end-to-end fashion, allowing a direct association between raw cytometry data and the clinical outcome of interest. Using nine large cytometry by time-of-flight mass spectrometry or mass cytometry (CyTOF) studies from the open-access ImmPort database, we demonstrated that the deep convolutional neural network model can accurately diagnose the latent cytomegalovirus (CMV) in healthy individuals, even when using highly heterogeneous data from different studies. In addition, we developed a permutation-based method for interpreting the deep convolutional neural network model. We were able to identify a CD27- CD94+ CD8+ T cell population significantly associated with latent CMV infection, confirming the findings in previous studies. Finally, we provide a tutorial for creating, training, and interpreting the tailored deep learning model for cytometry data using Keras and TensorFlow (https://github.com/hzc363/DeepLearningCyTOF).
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16
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Schmid H, Dobrovolny HM. An approximate solution of the interferon-dependent viral kinetics model of influenza. J Theor Biol 2020; 498:110266. [PMID: 32339545 DOI: 10.1016/j.jtbi.2020.110266] [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: 09/23/2019] [Revised: 01/10/2020] [Accepted: 04/01/2020] [Indexed: 11/25/2022]
Abstract
The analysis of viral kinetics models is mostly achieved by numerical methods. We present an approach via a Magnus expansion that allows us to give an approximate solution to the interferon-dependent viral infection model of influenza which is compared with numerical results. The time of peak viral load is calculated from the approximation and stays within 10% in the studied range of interferon (IFN) efficacy ϵ ∈ [0, 1000]. We utilize our solution to interpret the effect of varying IFN efficacy, suggesting a competition between virions and interferon that can cause an additional peak in the usually exponential increase in the viral load.
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Affiliation(s)
- Harald Schmid
- Department of Physics & Astronomy, Texas Christian University, Fort Worth, TX, USA
| | - Hana M Dobrovolny
- Department of Physics & Astronomy, Texas Christian University, Fort Worth, TX, USA.
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17
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Biswas BK, Guru SA, Sumi MP, Jamatia E, Gupta RK, Lali P, Konar BC, Saxena A, Mir R. Natural Killer Cells Expanded and Preactivated Exhibit Enhanced Antitumor Activity against Different Tumor Cells in Vitro. Asian Pac J Cancer Prev 2020; 21:1595-1605. [PMID: 32592353 PMCID: PMC7568895 DOI: 10.31557/apjcp.2020.21.6.1595] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Indexed: 11/25/2022] Open
Abstract
One of the emerging treatment strategies for cancer particularly for haematological malignancies is natural killer (NK) cell therapy. However, the availability of a best approach to maximize NK cell anticancer potential is still awaited. It is well established that cytokine-induced memory-like NK cells have the potential to differentiate after a short period of preactivation with interleukins-IL-12, IL-15, and IL-18 and exhibit increased responses to cytokine or activating receptor restimulation for weeks to months after preactivation. We demonstrated that NK cells differentiated from CD34+ cells isolated from cord blood show increased antitumor potential in vitro against different cancer cells. Using flow cytometry, we found that NK cells were able to induce apoptosis in cancer cells in vitro. We further analysed surviving gene expression by quantitative real time PCR and reported that NK cells cause down regulation of survivin gene expression in tumor cells. Therefore, NK cell therapy represents a promising immunotherapy for cancers like AML and other haematological malignancies. It concluded that NK cells can be differentiated from CD34+ cells isolated from cord blood ,are able to induce apoptosis and induce increased antitumor potential in vitro against different cancer cells besides cause downregulation of survivin gene expression in tumor cells. Therefore, NK cell therapy represents a promising immunotherapy for different cancer types and haematological malignancies. Furthers studies are necessary to confirm our findings.
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Affiliation(s)
- Biplob Kumar Biswas
- Department of Biochemistry, Maulana Azad Medical College (MAMC) and Associated Hospitals, New Delhi, India
| | - Sameer Ahmad Guru
- Multidisciplinary Research Unit (MRU), Maulana Azad Medical College and Associated Hospitals, Bahadur Shah Zafar Marg, New Delhi, 110002, India
| | - Mamta Pervin Sumi
- Department of Gastroinstestinal Surgery G B Pant Postgraduate Institute of Medical Education and Research (GIPMER), New Delhi, India
| | - Elvia Jamatia
- Department of Biochemistry, Maulana Azad Medical College (MAMC) and Associated Hospitals, New Delhi, India
| | - Rohit Kumar Gupta
- Department of Biochemistry, Maulana Azad Medical College (MAMC) and Associated Hospitals, New Delhi, India
| | - Pramod Lali
- Department of Biochemistry, Maulana Azad Medical College (MAMC) and Associated Hospitals, New Delhi, India
| | - Bidhan Chandra Konar
- Department of Biochemistry, Maulana Azad Medical College (MAMC) and Associated Hospitals, New Delhi, India
| | - Alpana Saxena
- Department of Biochemistry, Maulana Azad Medical College (MAMC) and Associated Hospitals, New Delhi, India
| | - Rashid Mir
- Department of Medical Lab Technology, Faculty of Applied Medical Sciences, Prince Fahd Bin Sultan Research chair, University of Tabuk, Saudi Arabia
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18
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Redlberger-Fritz M, Vietzen H, Puchhammer-Stöckl E. Association of Severe Influenza Virus Infections With CD226 (DNAM-1) Variants. J Infect Dis 2020; 220:1162-1165. [PMID: 31114873 DOI: 10.1093/infdis/jiz270] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Accepted: 05/20/2019] [Indexed: 11/14/2022] Open
Abstract
Natural killer (NK)-cell response against influenza viruses partly depends on expression of CD112, a ligand for NK-cell receptor CD226 (DNAM-1). We analyzed whether particular CD226 variants were associated with influenza disease severity. Comparison between 145 patients hospitalized with severe influenza at intensive care units (ICU) with 139 matched influenza-positive outpatients showed that presence of the rs763362 G allele (GG, AG) was associated with occurrence of severe influenza infections (P = .0076). Also, a higher frequency of rs727088 G and rs763361 T alleles was observed in the ICU group. Thus, CD226 variants may contribute to the severity of influenza virus disease.
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Affiliation(s)
| | - Hannes Vietzen
- Center for Virology, Medical University, Vienna, Austria
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19
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Nikzad R, Angelo LS, Aviles-Padilla K, Le DT, Singh VK, Bimler L, Vukmanovic-Stejic M, Vendrame E, Ranganath T, Simpson L, Haigwood NL, Blish CA, Akbar AN, Paust S. Human natural killer cells mediate adaptive immunity to viral antigens. Sci Immunol 2020; 4:4/35/eaat8116. [PMID: 31076527 DOI: 10.1126/sciimmunol.aat8116] [Citation(s) in RCA: 107] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Accepted: 04/10/2019] [Indexed: 12/13/2022]
Abstract
Adaptive immune responses are defined as antigen sensitization-dependent and antigen-specific responses leading to establishment of long-lived immunological memory. Although natural killer (NK) cells have traditionally been considered cells of the innate immune system, mounting evidence in mice and nonhuman primates warrants reconsideration of the existing paradigm that B and T cells are the sole mediators of adaptive immunity. However, it is currently unknown whether human NK cells can exhibit adaptive immune responses. We therefore tested whether human NK cells mediate adaptive immunity to virally encoded antigens using humanized mice and human volunteers. We found that human NK cells displayed vaccination-dependent, antigen-specific recall responses in vitro, when isolated from livers of humanized mice previously vaccinated with HIV-encoded envelope protein. Furthermore, we discovered that large numbers of cytotoxic NK cells with a tissue-resident phenotype were recruited to sites of varicella-zoster virus (VZV) skin test antigen challenge in VZV-experienced human volunteers. These NK-mediated recall responses in humans occurred decades after initial VZV exposure, demonstrating that NK memory in humans is long-lived. Our data demonstrate that human NK cells exhibit adaptive immune responses upon vaccination or infection. The existence of human memory NK cells may allow for the development of vaccination-based approaches capable of establishing potent NK-mediated memory functions contributing to host protection.
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Affiliation(s)
- Rana Nikzad
- Center for Human Immunobiology, Department of Pediatrics, Texas Children's Hospital and Baylor College of Medicine, Houston, TX, USA.,Translational Biology and Molecular Medicine Graduate Program at Baylor College of Medicine, Houston, TX, USA.,Department of Immunology and Microbiology, Scripps Research Institute, La Jolla, CA, USA
| | - Laura S Angelo
- Center for Human Immunobiology, Department of Pediatrics, Texas Children's Hospital and Baylor College of Medicine, Houston, TX, USA
| | - Kevin Aviles-Padilla
- Center for Human Immunobiology, Department of Pediatrics, Texas Children's Hospital and Baylor College of Medicine, Houston, TX, USA.,Integrative Molecular and Biomedical Sciences Graduate Program at Baylor College of Medicine, Houston, TX, USA
| | - Duy T Le
- Center for Human Immunobiology, Department of Pediatrics, Texas Children's Hospital and Baylor College of Medicine, Houston, TX, USA.,Graduate Program in Immunology at Baylor College of Medicine, Houston, TX, USA
| | - Vipul K Singh
- Center for Human Immunobiology, Department of Pediatrics, Texas Children's Hospital and Baylor College of Medicine, Houston, TX, USA
| | - Lynn Bimler
- Center for Human Immunobiology, Department of Pediatrics, Texas Children's Hospital and Baylor College of Medicine, Houston, TX, USA.,Graduate Program in Immunology at Baylor College of Medicine, Houston, TX, USA
| | | | - Elena Vendrame
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Thanmayi Ranganath
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Laura Simpson
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Nancy L Haigwood
- Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR, USA
| | - Catherine A Blish
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.,Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Arne N Akbar
- Division of Infection and Immunity, University College London, UK
| | - Silke Paust
- Center for Human Immunobiology, Department of Pediatrics, Texas Children's Hospital and Baylor College of Medicine, Houston, TX, USA. .,Translational Biology and Molecular Medicine Graduate Program at Baylor College of Medicine, Houston, TX, USA.,Department of Immunology and Microbiology, Scripps Research Institute, La Jolla, CA, USA.,Integrative Molecular and Biomedical Sciences Graduate Program at Baylor College of Medicine, Houston, TX, USA.,Graduate Program in Immunology at Baylor College of Medicine, Houston, TX, USA
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20
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TIGIT is upregulated by HIV-1 infection and marks a highly functional adaptive and mature subset of natural killer cells. AIDS 2020; 34:801-813. [PMID: 32028328 DOI: 10.1097/qad.0000000000002488] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
OBJECTIVE Our objective was to investigate the mechanisms that govern natural killer (NK)-cell responses to HIV, with a focus on specific receptor--ligand interactions involved in HIV recognition by NK cells. DESIGN AND METHODS We first performed a mass cytometry-based screen of NK-cell receptor expression patterns in healthy controls and HIV individuals. We then focused mechanistic studies on the expression and function of T cell immunoreceptor with Ig and ITIM domains (TIGIT). RESULTS The mass cytometry screen revealed that TIGIT is upregulated on NK cells of untreated HIV women, but not in antiretroviral-treated women. TIGIT is an inhibitory receptor that is thought to mark exhausted NK cells; however, blocking TIGIT did not improve anti-HIV NK-cell responses. In fact, the TIGIT ligands CD112 and CD155 were not upregulated on CD4 T cells in vitro or in vivo, providing an explanation for the lack of benefit from TIGIT blockade. TIGIT expression marked a unique subset of NK cells that express significantly higher levels of NK-cell-activating receptors (DNAM-1, NTB-A, 2B4, CD2) and exhibit a mature/adaptive phenotype (CD57, NKG2C, LILRB1, FcRγ, Syk). Furthermore, TIGIT NK cells had increased responses to mock-infected and HIV-infected autologous CD4 T cells, and to PMA/ionomycin, cytokine stimulation and the K562 cancer cell line. CONCLUSION TIGIT expression is increased on NK cells from untreated HIV individuals. Although TIGIT does not participate directly to the response to HIV-infected cells, it marks a population of mature/adaptive NK cells with increased functional responses.
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21
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Ranganath T, Simpson LJ, Ferreira AM, Seiler C, Vendrame E, Zhao N, Fontenot JD, Holmes S, Blish CA. Characterization of the Impact of Daclizumab Beta on Circulating Natural Killer Cells by Mass Cytometry. Front Immunol 2020; 11:714. [PMID: 32391016 PMCID: PMC7194113 DOI: 10.3389/fimmu.2020.00714] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Accepted: 03/30/2020] [Indexed: 12/11/2022] Open
Abstract
Daclizumab beta is a humanized monoclonal antibody that binds to CD25 and selectively inhibits high-affinity IL-2 receptor signaling. As a former treatment for relapsing forms of multiple sclerosis (RMS), daclizumab beta induces robust expansion of the CD56bright subpopulation of NK cells that is correlated with the drug’s therapeutic effects. As NK cells represent a heterogeneous population of lymphocytes with a range of phenotypes and functions, the goal of this study was to better understand how daclizumab beta altered the NK cell repertoire to provide further insight into the possible mechanism(s) of action in RMS. We used mass cytometry to evaluate expression patterns of NK cell markers and provide a comprehensive assessment of the NK cell repertoire in individuals with RMS treated with daclizumab beta or placebo over the course of 1 year. Treatment with daclizumab beta significantly altered the NK cell repertoire compared to placebo treatment. As previously reported, daclizumab beta significantly increased expression of CD56 on total NK cells. Within the CD56bright NK cells, treatment was associated with multiple phenotypic changes, including increased expression of NKG2A and NKp44, and diminished expression of CD244, CD57, and NKp46. These alterations occurred broadly across the CD56bright population, and were not associated with a specific subset of CD56bright NK cells. While the changes were less dramatic, CD56dim NK cells responded distinctly to daclizumab beta treatment, with higher expression of CD2 and NKG2A, and lower expression of FAS-L, HLA-DR, NTB-A, NKp30, and Perforin. Together, these data indicate that the expanded CD56bright NK cells share features of both immature and mature NK cells. These findings show that daclizumab beta treatment is associated with unique changes in NK cells that may enhance their ability to kill autoreactive T cells or to exert immunomodulatory functions.
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Affiliation(s)
- Thanmayi Ranganath
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - Laura J Simpson
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - Anne-Maud Ferreira
- Department of Statistics, Stanford University, Stanford, CA, United States
| | - Christof Seiler
- Department of Statistics, Stanford University, Stanford, CA, United States
| | - Elena Vendrame
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - Nancy Zhao
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | | | - Susan Holmes
- Department of Statistics, Stanford University, Stanford, CA, United States
| | - Catherine A Blish
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States.,Chan Zuckerberg Biohub, San Francisco, CA, United States
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22
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Seiler C, Bayless NL, Vergara R, Pintye J, Kinuthia J, Osborn L, Matemo D, Richardson BA, John-Stewart G, Holmes S, Blish CA. Influenza-Induced Interferon Lambda Response Is Associated With Longer Time to Delivery Among Pregnant Kenyan Women. Front Immunol 2020; 11:452. [PMID: 32256497 PMCID: PMC7089959 DOI: 10.3389/fimmu.2020.00452] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Accepted: 02/27/2020] [Indexed: 12/21/2022] Open
Abstract
Specific causes of preterm birth remain unclear. Several recent studies have suggested that immune changes during pregnancy are associated with the timing of delivery, yet few studies have been performed in low-income country settings where the rates of preterm birth are the highest. We conducted a retrospective nested case-control evaluation within a longitudinal study among HIV-uninfected pregnant Kenyan women. To characterize immune function in these women, we evaluated unstimulated and stimulated peripheral blood mononuclear cells in vitro with the A/California/2009 strain of influenza to understand the influenza-induced immune response. We then evaluated transcript expression profiles using the Affymetrix Human GeneChip Transcriptome Array 2.0. Transcriptional profiles of sufficient quality for analysis were obtained from 54 women; 19 of these women delivered <34 weeks and were defined as preterm cases and 35 controls delivered >37 weeks. The median time to birth from sample collection was 13 weeks. No transcripts were significantly associated with preterm birth in a case-control study of matched term and preterm birth (n = 42 women). In the influenza-stimulated samples, expression of IFNL1 was associated with longer time to delivery-the amount of time between sample collection and delivery (n = 54 women). A qPCR analysis confirmed that influenza-induced IFNL expression was associated with longer time to delivery. These data indicate that during pregnancy, ex vivo influenza stimulation results in altered transcriptional response and is associated with time to delivery in cohort of women residing in an area with high preterm birth prevalence.
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Affiliation(s)
- Christof Seiler
- Department of Statistics, Stanford University, Stanford, CA, United States
- Department of Data Science and Knowledge Engineering, Maastricht University, Maastricht, Netherlands
| | - Nicholas L. Bayless
- Immunology Program, Stanford University School of Medicine, Stanford, CA, United States
| | - Rosemary Vergara
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - Jillian Pintye
- Department of Global Health, University of Washington School of Medicine, Seattle, WA, United States
| | | | | | | | - Barbra A. Richardson
- Department of Global Health, University of Washington School of Medicine, Seattle, WA, United States
- Department of Biostatistics, University of Washington, Seattle, WA, United States
| | - Grace John-Stewart
- Department of Global Health, University of Washington School of Medicine, Seattle, WA, United States
| | - Susan Holmes
- Department of Statistics, Stanford University, Stanford, CA, United States
| | - Catherine A. Blish
- Immunology Program, Stanford University School of Medicine, Stanford, CA, United States
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States
- Chan Zuckerberg Biohub, San Francisco, CA, United States
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23
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Le Gars M, Seiler C, Kay AW, Bayless NL, Starosvetsky E, Moore L, Shen-Orr SS, Aziz N, Khatri P, Dekker CL, Swan GE, Davis MM, Holmes S, Blish CA. Pregnancy-Induced Alterations in NK Cell Phenotype and Function. Front Immunol 2019; 10:2469. [PMID: 31708922 PMCID: PMC6820503 DOI: 10.3389/fimmu.2019.02469] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Accepted: 10/03/2019] [Indexed: 12/29/2022] Open
Abstract
Pregnant women are particularly susceptible to complications of influenza A virus infection, which may result from pregnancy-induced changes in the function of immune cells, including natural killer (NK) cells. To better understand NK cell function during pregnancy, we assessed the ability of the two main subsets of NK cells, CD56dim, and CD56bright NK cells, to respond to influenza-virus infected cells and tumor cells. During pregnancy, CD56dim and CD56bright NK cells displayed enhanced functional responses to both infected and tumor cells, with increased expression of degranulation markers and elevated frequency of NK cells producing IFN-γ. To better understand the mechanisms driving this enhanced function, we profiled CD56dim and CD56bright NK cells from pregnant and non-pregnant women using mass cytometry. NK cells from pregnant women displayed significantly increased expression of several functional and activation markers such as CD38 on both subsets and NKp46 on CD56dim NK cells. NK cells also displayed diminished expression of the chemokine receptor CXCR3 during pregnancy. Overall, these data demonstrate that functional and phenotypic shifts occur in NK cells during pregnancy that can influence the magnitude of the immune response to both infections and tumors.
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Affiliation(s)
- Mathieu Le Gars
- Department of Medicine, Stanford University, Palo Alto, CA, United States.,Department of Stanford Immunology Program, Stanford University, Palo Alto, CA, United States
| | - Christof Seiler
- Department of Statistics, Stanford University, Palo Alto, CA, United States
| | - Alexander W Kay
- Department of Pediatrics, Stanford University, Palo Alto, CA, United States
| | - Nicholas L Bayless
- Department of Stanford Immunology Program, Stanford University, Palo Alto, CA, United States
| | - Elina Starosvetsky
- Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
| | - Lindsay Moore
- Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
| | - Shai S Shen-Orr
- Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
| | - Natali Aziz
- Department of Obstetrics and Gynecology, Stanford Prevention Research Center, Stanford University School of Medicine, Stanford University, Palo Alto, CA, United States
| | - Purvesh Khatri
- Department of Medicine, Stanford University, Palo Alto, CA, United States
| | - Cornelia L Dekker
- Department of Statistics, Stanford University, Palo Alto, CA, United States
| | - Gary E Swan
- Department of Obstetrics and Gynecology, Stanford Prevention Research Center, Stanford University School of Medicine, Stanford University, Palo Alto, CA, United States
| | - Mark M Davis
- Department of Microbiology and Immunology, Stanford University, Palo Alto, CA, United States.,Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA, United States
| | - Susan Holmes
- Department of Pediatrics, Stanford University, Palo Alto, CA, United States
| | - Catherine A Blish
- Department of Medicine, Stanford University, Palo Alto, CA, United States.,Department of Stanford Immunology Program, Stanford University, Palo Alto, CA, United States.,Chan Zuckerberg Biohub, San Francisco, CA, United States
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24
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Schuyler RP, Jackson C, Garcia-Perez JE, Baxter RM, Ogolla S, Rochford R, Ghosh D, Rudra P, Hsieh EWY. Minimizing Batch Effects in Mass Cytometry Data. Front Immunol 2019; 10:2367. [PMID: 31681275 PMCID: PMC6803429 DOI: 10.3389/fimmu.2019.02367] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Accepted: 09/20/2019] [Indexed: 01/28/2023] Open
Abstract
Cytometry by Time-Of-Flight (CyTOF) uses antibodies conjugated to isotopically pure metals to identify and quantify a large number of cellular features with single-cell resolution. A barcoding approach allows for 20 unique samples to be pooled and processed together in one tube, reducing the intra-barcode technical variability. However, with only 20 samples per barcode, multiple barcode sets (batches) are required to address questions in robustly powered study designs. A batch adjustment procedure is required to reduce variability across batches and to facilitate direct comparison of runs performed across multiple barcodes run over weeks, months, or years. We describe a method using technical replicates that are included in each run to determine and apply an appropriate adjustment per batch without manual intervention. The use of technical replicate samples (i.e., anchors or reference samples) avoids assumptions of sample homogeneity among batches, and allows direct estimation of batch effects and appropriate adjustment parameters applicable to all samples within a batch. Quantification of cell subpopulations and mean signal intensity pre- and post-adjustment using both manual gating and unsupervised clustering demonstrate substantial mitigation of batch effects in the anchor samples used for this adjustment calculation, and in a second validation set of technical replicates.
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Affiliation(s)
- Ronald P Schuyler
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO, United States
| | - Conner Jackson
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO, United States
| | - Josselyn E Garcia-Perez
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO, United States
| | - Ryan M Baxter
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO, United States
| | - Sidney Ogolla
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO, United States
| | - Rosemary Rochford
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO, United States
| | - Debashis Ghosh
- Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO, United States
| | - Pratyaydipta Rudra
- Department of Statistics, Oklahoma State University, Stillwater, OK, United States
| | - Elena W Y Hsieh
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO, United States.,Division of Allergy and Immunology, Department of Pediatrics, University of Colorado School of Medicine, Children's Hospital Colorado, Aurora, CO, United States
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25
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Schulz AR, Baumgart S, Schulze J, Urbicht M, Grützkau A, Mei HE. Stabilizing Antibody Cocktails for Mass Cytometry. Cytometry A 2019; 95:910-916. [DOI: 10.1002/cyto.a.23781] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 04/09/2019] [Accepted: 04/13/2019] [Indexed: 11/10/2022]
Affiliation(s)
- Axel R. Schulz
- German Rheumatism Research Center Berlin (DRFZ)a Leibniz Institute Berlin Germany
| | - Sabine Baumgart
- German Rheumatism Research Center Berlin (DRFZ)a Leibniz Institute Berlin Germany
| | - Julia Schulze
- German Rheumatism Research Center Berlin (DRFZ)a Leibniz Institute Berlin Germany
| | - Marie Urbicht
- German Rheumatism Research Center Berlin (DRFZ)a Leibniz Institute Berlin Germany
| | - Andreas Grützkau
- German Rheumatism Research Center Berlin (DRFZ)a Leibniz Institute Berlin Germany
| | - Henrik E. Mei
- German Rheumatism Research Center Berlin (DRFZ)a Leibniz Institute Berlin Germany
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26
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Ali A, Gyurova IE, Waggoner SN. Mutually assured destruction: the cold war between viruses and natural killer cells. Curr Opin Virol 2019; 34:130-139. [PMID: 30877885 DOI: 10.1016/j.coviro.2019.02.005] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Revised: 01/30/2019] [Accepted: 02/07/2019] [Indexed: 12/22/2022]
Abstract
Natural killer (NK) cells play a multitude of antiviral roles that are significant enough to provoke viral counterefforts to subvert their activity. As innate lymphocytes, NK cells provide a rapid source of pro-inflammatory antiviral cytokines and bring to bear cytolytic activities that are collectively meant to constrain viral replication and dissemination. Additionally, NK cells participate in adaptive immunity both by shaping virus-specific T-cell responses and by developing adaptive features themselves, including enhanced antibody-dependent effector functions. The relative importance of different functional activities of NK cells are poorly understood, thereby obfuscating clinical use of these cells. Here we focus on opposing efforts of NK cells and viruses to gain tactical superiority during infection.
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Affiliation(s)
- Ayad Ali
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, United States; Medical Scientist Training Program, University of Cincinnati College of Medicine, United States; Immunology Graduate Training Program, University of Cincinnati College of Medicine, United States
| | - Ivayla E Gyurova
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, United States; Pathobiology and Molecular Medicine Graduate Program, University of Cincinnati College of Medicine, United States
| | - Stephen N Waggoner
- Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, United States; Medical Scientist Training Program, University of Cincinnati College of Medicine, United States; Immunology Graduate Training Program, University of Cincinnati College of Medicine, United States; Pathobiology and Molecular Medicine Graduate Program, University of Cincinnati College of Medicine, United States; Department of Pediatrics, University of Cincinnati College of Medicine, United States.
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