101
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Park JH, Kang I, Lee HK. γδ T Cells in Brain Homeostasis and Diseases. Front Immunol 2022; 13:886397. [PMID: 35693762 PMCID: PMC9181321 DOI: 10.3389/fimmu.2022.886397] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 04/25/2022] [Indexed: 11/30/2022] Open
Abstract
γδ T cells are a distinct subset of T cells expressing γδ T cell receptor (TCR) rather than αβTCR. Since their discovery, the critical roles of γδ T cells in multiple physiological systems and diseases have been investigated. γδ T cells are preferentially located at mucosal surfaces, such as the gut, although a small subset of γδ T cells can circulate the blood. Additionally, a subset of γδ T cells reside in the meninges in the central nervous system. Recent findings suggest γδ T cells in the meninges have critical roles in brain function and homeostasis. In addition, several lines of evidence have shown γδ T cells can infiltrate the brain parenchyma and regulate inflammatory responses in multiple diseases, including neurodegenerative diseases. Although the importance of γδ T cells in the brain is well established, their roles are still incompletely understood due to the complexity of their biology. Because γδ T cells rapidly respond to changes in brain status and regulate disease progression, understanding the role of γδ T cells in the brain will provide critical information that is essential for interpreting neuroimmune modulation. In this review, we summarize the complex role of γδ T cells in the brain and discuss future directions for research.
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102
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Bhat J, Placek K, Faissner S. Contemplating Dichotomous Nature of Gamma Delta T Cells for Immunotherapy. Front Immunol 2022; 13:894580. [PMID: 35669772 PMCID: PMC9163397 DOI: 10.3389/fimmu.2022.894580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 04/22/2022] [Indexed: 11/13/2022] Open
Abstract
γδ T cells are unconventional T cells, distinguished from αβ T cells in a number of functional properties. Being small in number compared to αβ T cells, γδ T cells have surprised us with their pleiotropic roles in various diseases. γδ T cells are ambiguous in nature as they can produce a number of cytokines depending on the (micro) environmental cues and engage different immune response mechanisms, mainly due to their epigenetic plasticity. Depending on the disease condition, γδ T cells contribute to beneficial or detrimental response. In this review, we thus discuss the dichotomous nature of γδ T cells in cancer, neuroimmunology and infectious diseases. We shed light on the importance of equal consideration for systems immunology and personalized approaches, as exemplified by changes in metabolic requirements. While providing the status of immunotherapy, we will assess the metabolic (and other) considerations for better outcome of γδ T cell-based treatments.
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Affiliation(s)
- Jaydeep Bhat
- Department of Molecular Immunology, Ruhr-University Bochum, Bochum, Germany
| | - Katarzyna Placek
- Department of Molecular Immunology and Cell Biology, Life and Medical Sciences Institute, University of Bonn, Bonn, Germany
| | - Simon Faissner
- Department of Neurology, Ruhr-University Bochum, St. Josef-Hospital, Bochum, Germany
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103
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Lawrence M, Wiesheu R, Coffelt SB. The duplexity of unconventional T cells in cancer. Int J Biochem Cell Biol 2022; 146:106213. [PMID: 35447350 DOI: 10.1016/j.biocel.2022.106213] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 04/11/2022] [Accepted: 04/14/2022] [Indexed: 11/29/2022]
Abstract
Unconventional T cells and their involvement in cancer are understudied in comparison to conventional T cells, but recent findings indicate that these cells play important roles in both cancer progression and inhibition. Here, we briefly review the dichotomous role of three unconventional T cell lineages: γδ T cells, MAIT cells and NKT cells. Studies using mouse models of cancer show how this unconventional trilogy interacts with cancer epithelial cells and other immune cell populations during tumour evolution. These reports highlight various potential avenues for therapeutic intervention that may be exploited for cancer immunotherapy.
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Affiliation(s)
- Mark Lawrence
- Cancer Research UK Beatson Institute, Glasgow, UK; Institute of Cancer Sciences, University of Glasgow, UK
| | - Robert Wiesheu
- Cancer Research UK Beatson Institute, Glasgow, UK; Institute of Cancer Sciences, University of Glasgow, UK
| | - Seth B Coffelt
- Cancer Research UK Beatson Institute, Glasgow, UK; Institute of Cancer Sciences, University of Glasgow, UK.
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104
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Lim SA, Su W, Chapman NM, Chi H. Lipid metabolism in T cell signaling and function. Nat Chem Biol 2022; 18:470-481. [PMID: 35484263 PMCID: PMC11103273 DOI: 10.1038/s41589-022-01017-3] [Citation(s) in RCA: 106] [Impact Index Per Article: 35.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 03/17/2022] [Indexed: 12/19/2022]
Abstract
T cells orchestrate adaptive immunity against pathogens and other immune challenges, but their dysfunction can also mediate the pathogenesis of cancer and autoimmunity. Metabolic adaptation in response to immunological and microenvironmental signals contributes to T cell function and fate decision. Lipid metabolism has emerged as a key regulator of T cell responses, with selective lipid metabolites serving as metabolic rheostats to integrate environmental cues and interplay with intracellular signaling processes. Here, we discuss how extracellular, de novo synthesized and membrane lipids orchestrate T cell biology. We also describe the roles of lipids as regulators of intracellular signaling at the levels of transcriptional, epigenetic and post-translational regulation in T cells. Finally, we summarize therapeutic targeting of lipid metabolism and signaling, and conclude with a discussion of important future directions. Understanding the molecular and functional interplay between lipid metabolism and T cell biology will ultimately inform therapeutic intervention for human disease.
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Affiliation(s)
- Seon Ah Lim
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Wei Su
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Nicole M Chapman
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Hongbo Chi
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA.
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105
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Verberk SG, de Goede KE, Gorki FS, van Dierendonck XA, Argüello RJ, Van den Bossche J. An integrated toolbox to profile macrophage immunometabolism. CELL REPORTS METHODS 2022; 2:100192. [PMID: 35497494 PMCID: PMC9046227 DOI: 10.1016/j.crmeth.2022.100192] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 12/23/2021] [Accepted: 03/07/2022] [Indexed: 10/25/2022]
Abstract
Macrophages are dynamic immune cells that can adopt several activation states. Fundamental to these functional activation states is the regulation of cellular metabolic processes. Especially in mice, metabolic alterations underlying pro-inflammatory or homeostatic phenotypes have been assessed using various techniques. However, researchers new to the field may encounter ambiguity in choosing which combination of techniques is best suited to profile immunometabolism. To address this need, we have developed a toolbox to assess cellular metabolism in a semi-high-throughput 96-well-plate-based format. Application of the toolbox to activated mouse and human macrophages enables fast metabolic pre-screening and robust measurement of extracellular fluxes, mitochondrial mass and membrane potential, and glucose and lipid uptake. Moreover, we propose an application of SCENITH technology for ex vivo metabolic profiling. We validate established activation-induced metabolic rewiring in mouse macrophages and report new insights into human macrophage metabolism. By thoroughly discussing each technique, we hope to guide readers with practical workflows for investigating immunometabolism.
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Affiliation(s)
- Sanne G.S. Verberk
- Department of Molecular Cell Biology and Immunology, Amsterdam Cardiovascular Sciences, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam Institute for Infection and Immunity, Cancer Centre Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Kyra E. de Goede
- Department of Molecular Cell Biology and Immunology, Amsterdam Cardiovascular Sciences, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam Institute for Infection and Immunity, Cancer Centre Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Friederike S. Gorki
- Department of Molecular Cell Biology and Immunology, Amsterdam Cardiovascular Sciences, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam Institute for Infection and Immunity, Cancer Centre Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Institute of Innate Immunity, University Hospital Bonn, University of Bonn, 53127 Bonn, Germany
| | - Xanthe A.M.H. van Dierendonck
- Department of Molecular Cell Biology and Immunology, Amsterdam Cardiovascular Sciences, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam Institute for Infection and Immunity, Cancer Centre Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Rafael J. Argüello
- Aix Marseille Univ, CNRS, INSERM, CIML, Centre d’Immunologie de Marseille-Luminy, Marseille, France
| | - Jan Van den Bossche
- Department of Molecular Cell Biology and Immunology, Amsterdam Cardiovascular Sciences, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam Institute for Infection and Immunity, Cancer Centre Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
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106
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Abstract
Tumour growth and dissemination is largely dependent on nutrient availability. It has recently emerged that the tumour microenvironment is rich in a diverse array of lipids that increase in abundance with tumour progression and play a role in promoting tumour growth and metastasis. Here, we describe the pro-tumorigenic roles of lipid uptake, metabolism and synthesis and detail the therapeutic potential of targeting lipid metabolism in cancer. Additionally, we highlight new insights into the distinct immunosuppressive effects of lipids in the tumour microenvironment. Lipids threaten an anti-tumour environment whereby metabolic adaptation to lipid metabolism is linked to immune dysfunction. Finally, we describe the differential effects of commondietary lipids on cancer growth which may uncover a role for specific dietary regimens in association with traditional cancer therapies. Understanding the relationship between dietary lipids, tumour, and immune cells is important in the context of obesity which may reveal a possibility to harness the diet in the treatment of cancers.
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107
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Purohit V, Wagner A, Yosef N, Kuchroo VK. Systems-based approaches to study immunometabolism. Cell Mol Immunol 2022; 19:409-420. [PMID: 35121805 PMCID: PMC8891302 DOI: 10.1038/s41423-021-00783-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 09/17/2021] [Indexed: 02/06/2023] Open
Abstract
Technical advances at the interface of biology and computation, such as single-cell RNA-sequencing (scRNA-seq), reveal new layers of complexity in cellular systems. An emerging area of investigation using the systems biology approach is the study of the metabolism of immune cells. The diverse spectra of immune cell phenotypes, sparsity of immune cell numbers in vivo, limitations in the number of metabolites identified, dynamic nature of cellular metabolism and metabolic fluxes, tissue specificity, and high dependence on the local milieu make investigations in immunometabolism challenging, especially at the single-cell level. In this review, we define the systemic nature of immunometabolism, summarize cell- and system-based approaches, and introduce mathematical modeling approaches for systems interrogation of metabolic changes in immune cells. We close the review by discussing the applications and shortcomings of metabolic modeling techniques. With systems-oriented studies of metabolism expected to become a mainstay of immunological research, an understanding of current approaches toward systems immunometabolism will help investigators make the best use of current resources and push the boundaries of the discipline.
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Affiliation(s)
- Vinee Purohit
- Evergrande Center for Immunologic Diseases and Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, 02141, USA
| | - Allon Wagner
- Department of Electrical Engineering and Computer Science, University of California, Berkeley, CA, 94720, USA
- Center for Computational Biology, University of California, Berkeley, CA, 94720, USA
| | - Nir Yosef
- Department of Electrical Engineering and Computer Science, University of California, Berkeley, CA, 94720, USA
- Center for Computational Biology, University of California, Berkeley, CA, 94720, USA
| | - Vijay K Kuchroo
- Evergrande Center for Immunologic Diseases and Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, 02141, USA.
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108
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Li Z, Yang Q, Tang X, Chen Y, Wang S, Qi X, Zhang Y, Liu Z, Luo J, Liu H, Ba Y, Guo L, Wu B, Huang F, Cao G, Yin Z. Single-cell RNA-seq and chromatin accessibility profiling decipher the heterogeneity of mouse γδ T cells. Sci Bull (Beijing) 2022; 67:408-426. [PMID: 36546093 DOI: 10.1016/j.scib.2021.11.013] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 10/27/2021] [Accepted: 10/29/2021] [Indexed: 01/06/2023]
Abstract
The distinct characteristics of γδ T cells determine their vital roles in the formation of local immune responses and contribute to tissue homeostasis. However, the heterogeneity of γδ T cells across tissues remains unclear. By combining transcriptional and chromatin analyses with a truly unbiased fashion, we constructed a single-cell transcriptome and chromatin accessibility landscape of mouse γδ T cells in the lymph, spleen, and thymus. We also revealed the heterogeneity of γδ T1 and γδ T17 cells across these tissues and inferred their potential regulatory mechanisms. In the thymus, we reconstructed the developmental trajectory and gained further insights into the signature genes from the mature stage, intermediate stage, and immature stage of γδ T cells on the basis of single-cell RNA sequencing and single-cell assay for transposase-accessible chromatin sequencing data. Notably, a novel Gzma+ γδ T cell subset was identified with immature properties and only localized to the thymus. Finally, NR1D1, a circadian transcription factor (TF), was validated as a key and negative regulator of γδ T17 cell differentiation by performing a combined analysis of TF motif enrichment, regulon enrichment, and Nr1d1 knockout mice. In summary, our data represent a comprehensive mapping on the transcriptome and chromatin accessibility dynamics of mouse γδ T cells, providing a valuable resource and reference for future studies on γδ T cells.
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Affiliation(s)
- Zhenhua Li
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai People's Hospital Affiliated with Jinan University, Jinan University, Zhuhai 519000, China; The Biomedical Translational Research Institute, Faculty of Medical Science, Jinan University, Guangzhou 510632, China
| | - Quanli Yang
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai People's Hospital Affiliated with Jinan University, Jinan University, Zhuhai 519000, China; The Biomedical Translational Research Institute, Faculty of Medical Science, Jinan University, Guangzhou 510632, China
| | - Xin Tang
- The Biomedical Translational Research Institute, Faculty of Medical Science, Jinan University, Guangzhou 510632, China; The First Affiliated Hospital, Faculty of Medical Science, Jinan University, Guangzhou 510000, China
| | - Yiming Chen
- The Biomedical Translational Research Institute, Faculty of Medical Science, Jinan University, Guangzhou 510632, China
| | - Shanshan Wang
- The Biomedical Translational Research Institute, Faculty of Medical Science, Jinan University, Guangzhou 510632, China
| | - Xiaojie Qi
- The Biomedical Translational Research Institute, Faculty of Medical Science, Jinan University, Guangzhou 510632, China
| | - Yawen Zhang
- The Biomedical Translational Research Institute, Faculty of Medical Science, Jinan University, Guangzhou 510632, China
| | - Zonghua Liu
- The Biomedical Translational Research Institute, Faculty of Medical Science, Jinan University, Guangzhou 510632, China
| | - Jing Luo
- The Biomedical Translational Research Institute, Faculty of Medical Science, Jinan University, Guangzhou 510632, China; The First Affiliated Hospital, Faculty of Medical Science, Jinan University, Guangzhou 510000, China
| | - Hui Liu
- Emergency Department, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou 510000, China
| | - Yongbing Ba
- OE Biotech Co., Ltd., Shanghai 201114, China
| | - Lianxia Guo
- Institute of Molecular Rhythm and Metabolism, Guangzhou University of Chinese Medicine, Guangzhou 510700, China
| | - Baojian Wu
- Institute of Molecular Rhythm and Metabolism, Guangzhou University of Chinese Medicine, Guangzhou 510700, China
| | - Fang Huang
- Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Jinan University, Zhuhai 519000, China
| | - Guangchao Cao
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai People's Hospital Affiliated with Jinan University, Jinan University, Zhuhai 519000, China; The Biomedical Translational Research Institute, Faculty of Medical Science, Jinan University, Guangzhou 510632, China.
| | - Zhinan Yin
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai People's Hospital Affiliated with Jinan University, Jinan University, Zhuhai 519000, China; The Biomedical Translational Research Institute, Faculty of Medical Science, Jinan University, Guangzhou 510632, China.
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109
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Combes AJ, Samad B, Tsui J, Chew NW, Yan P, Reeder GC, Kushnoor D, Shen A, Davidson B, Barczak AJ, Adkisson M, Edwards A, Naser M, Barry KC, Courau T, Hammoudi T, Argüello RJ, Rao AA, Olshen AB, Cai C, Zhan J, Davis KC, Kelley RK, Chapman JS, Atreya CE, Patel A, Daud AI, Ha P, Diaz AA, Kratz JR, Collisson EA, Fragiadakis GK, Erle DJ, Boissonnas A, Asthana S, Chan V, Krummel MF. Discovering dominant tumor immune archetypes in a pan-cancer census. Cell 2022; 185:184-203.e19. [PMID: 34963056 PMCID: PMC8862608 DOI: 10.1016/j.cell.2021.12.004] [Citation(s) in RCA: 76] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 08/25/2021] [Accepted: 12/03/2021] [Indexed: 01/09/2023]
Abstract
Cancers display significant heterogeneity with respect to tissue of origin, driver mutations, and other features of the surrounding tissue. It is likely that individual tumors engage common patterns of the immune system-here "archetypes"-creating prototypical non-destructive tumor immune microenvironments (TMEs) and modulating tumor-targeting. To discover the dominant immune system archetypes, the University of California, San Francisco (UCSF) Immunoprofiler Initiative (IPI) processed 364 individual tumors across 12 cancer types using standardized protocols. Computational clustering of flow cytometry and transcriptomic data obtained from cell sub-compartments uncovered dominant patterns of immune composition across cancers. These archetypes were profound insofar as they also differentiated tumors based upon unique immune and tumor gene-expression patterns. They also partitioned well-established classifications of tumor biology. The IPI resource provides a template for understanding cancer immunity as a collection of dominant patterns of immune organization and provides a rational path forward to learn how to modulate these to improve therapy.
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Affiliation(s)
- Alexis J Combes
- Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA.
| | - Bushra Samad
- Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Jessica Tsui
- Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Nayvin W Chew
- Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Peter Yan
- Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Gabriella C Reeder
- Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Divyashree Kushnoor
- Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Alan Shen
- Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Brittany Davidson
- ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Andrea J Barczak
- UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Michael Adkisson
- UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Austin Edwards
- Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Mohammad Naser
- Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Kevin C Barry
- Translational Research Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Tristan Courau
- Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Taymour Hammoudi
- Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Rafael J Argüello
- Aix Marseille University, CNRS, INSERM, CIML, Centre d'Immunologie de Marseille-Luminy, Marseille, France
| | - Arjun Arkal Rao
- Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Adam B Olshen
- UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Cathy Cai
- Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Jenny Zhan
- Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Katelyn C Davis
- Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Robin K Kelley
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Jocelyn S Chapman
- UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; Departments of Obstetrics, Gynecology, and Reproductive Sciences, Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Chloe E Atreya
- UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Medicine, Division of Hematology and Oncology, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Amar Patel
- UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Medicine, Division of Hematology and Oncology, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Adil I Daud
- Department of Medicine, Division of Hematology and Oncology, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Dermatology, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Patrick Ha
- Department of Otolaryngology, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Aaron A Diaz
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Johannes R Kratz
- ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Eric A Collisson
- UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Medicine, Division of Hematology and Oncology, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Gabriela K Fragiadakis
- ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Medicine Division of Rheumatology, University of California, San Francisco, San Francisco, CA 94143, USA
| | - David J Erle
- ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA; Lung Biology Center, Department of Medicine and the Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Alexandre Boissonnas
- Sorbonne Université, INSERM, CNRS, Centre d'Immunologie et des Maladies Infectieuses-CIMI, Paris, France
| | - Saurabh Asthana
- UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Vincent Chan
- ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Matthew F Krummel
- Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA.
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110
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Yang L, Dong X, Liu Z, Tan J, Huang X, Wen T, Qu H, Wang Z. VPS9D1-AS1 overexpression amplifies intratumoral TGF-β signaling and promotes tumor cell escape from CD8 + T cell killing in colorectal cancer. eLife 2022; 11:79811. [PMID: 36458816 PMCID: PMC9744440 DOI: 10.7554/elife.79811] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 12/01/2022] [Indexed: 12/05/2022] Open
Abstract
Efficacy of immunotherapy is limited in patients with colorectal cancer (CRC) because high expression of tumor-derived transforming growth factor (TGF)-β pathway molecules and interferon (IFN)-stimulated genes (ISGs) promotes tumor immune evasion. Here, we identified a long noncoding RNA (lncRNA), VPS9D1-AS1, which was located in ribosomes and amplified TGF-β signaling and ISG expression. We show that high expression of VPS9D1-AS1 was negatively associated with T lymphocyte infiltration in two independent cohorts of CRC. VPS9D1-AS1 served as a scaffolding lncRNA by binding with ribosome protein S3 (RPS3) to increase the translation of TGF-β, TGFBR1, and SMAD1/5/9. VPS9D1-AS1 knockout downregulated OAS1, an ISG gene, which further reduced IFNAR1 levels in tumor cells. Conversely, tumor cells overexpressing VPS9D1-AS1 were resistant to CD8+ T cell killing and lowered IFNAR1 expression in CD8+ T cells. In a conditional overexpression mouse model, VPS9D1-AS1 enhanced tumorigenesis and suppressed the infiltration of CD8+ T cells. Treating tumor-bearing mice with antisense oligonucleotide drugs targeting VPS9D1-AS1 significantly suppressed tumor growth. Our findings indicate that the tumor-derived VPS9D1-AS1/TGF-β/ISG signaling cascade promotes tumor growth and enhances immune evasion and may thus serve as a potential therapeutic target for CRC.
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Affiliation(s)
- Lei Yang
- Medical Research Center, Beijing Chao-Yang Hospital, Capital Medical UniversityBeijingChina,Department of General Surgery, Beijing Chao-Yang Hospital, Capital Medical UniversityBeijingChina
| | - Xichen Dong
- Medical Research Center, Beijing Chao-Yang Hospital, Capital Medical UniversityBeijingChina
| | - Zheng Liu
- Medical Research Center, Beijing Chao-Yang Hospital, Capital Medical UniversityBeijingChina
| | - Jinjing Tan
- Department of Cellular and Molecular Biology, Beijing Chest Hospital, Capital Medical University & Beijing Tuberculosis and Thoracic Tumor Research InstituteBeijingChina
| | - Xiaoxi Huang
- Medical Research Center, Beijing Chao-Yang Hospital, Capital Medical UniversityBeijingChina
| | - Tao Wen
- Medical Research Center, Beijing Chao-Yang Hospital, Capital Medical UniversityBeijingChina
| | - Hao Qu
- Department of General Surgery, Beijing Chao-Yang Hospital, Capital Medical UniversityBeijingChina
| | - Zhenjun Wang
- Department of General Surgery, Beijing Chao-Yang Hospital, Capital Medical UniversityBeijingChina
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111
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Zhang IW, López-Vicario C, Duran-Güell M, Clària J. Mitochondrial Dysfunction in Advanced Liver Disease: Emerging Concepts. Front Mol Biosci 2021; 8:772174. [PMID: 34888354 PMCID: PMC8650317 DOI: 10.3389/fmolb.2021.772174] [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: 09/07/2021] [Accepted: 11/04/2021] [Indexed: 12/12/2022] Open
Abstract
Mitochondria are entrusted with the challenging task of providing energy through the generation of ATP, the universal cellular currency, thereby being highly flexible to different acute and chronic nutrient demands of the cell. The fact that mitochondrial diseases (genetic disorders caused by mutations in the nuclear or mitochondrial genome) manifest through a remarkable clinical variation of symptoms in affected individuals underlines the far-reaching implications of mitochondrial dysfunction. The study of mitochondrial function in genetic or non-genetic diseases therefore requires a multi-angled approach. Taking into account that the liver is among the organs richest in mitochondria, it stands to reason that in the process of unravelling the pathogenesis of liver-related diseases, researchers give special focus to characterizing mitochondrial function. However, mitochondrial dysfunction is not a uniformly defined term. It can refer to a decline in energy production, increase in reactive oxygen species and so forth. Therefore, any study on mitochondrial dysfunction first needs to define the dysfunction to be investigated. Here, we review the alterations of mitochondrial function in liver cirrhosis with emphasis on acutely decompensated liver cirrhosis and acute-on-chronic liver failure (ACLF), the latter being a form of acute decompensation characterized by a generalized state of systemic hyperinflammation/immunosuppression and high mortality rate. The studies that we discuss were either carried out in liver tissue itself of these patients, or in circulating leukocytes, whose mitochondrial alterations might reflect tissue and organ mitochondrial dysfunction. In addition, we present different methodological approaches that can be of utility to address the diverse aspects of hepatocyte and leukocyte mitochondrial function in liver disease. They include assays to measure metabolic fluxes using the comparatively novel Biolog’s MitoPlates in a 96-well format as well as assessment of mitochondrial respiration by high-resolution respirometry using Oroboros’ O2k-technology and Agilent Seahorse XF technology.
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Affiliation(s)
- Ingrid W Zhang
- Biochemistry and Molecular Genetics Service, Hospital Clínic-IDIBAPS, Barcelona, Spain.,European Foundation for the Study of Chronic Liver Failure (EF Clif) and Grifols Chair, Barcelona, Spain
| | - Cristina López-Vicario
- Biochemistry and Molecular Genetics Service, Hospital Clínic-IDIBAPS, Barcelona, Spain.,European Foundation for the Study of Chronic Liver Failure (EF Clif) and Grifols Chair, Barcelona, Spain.,CIBERehd, Barcelona, Spain
| | - Marta Duran-Güell
- Biochemistry and Molecular Genetics Service, Hospital Clínic-IDIBAPS, Barcelona, Spain.,European Foundation for the Study of Chronic Liver Failure (EF Clif) and Grifols Chair, Barcelona, Spain
| | - Joan Clària
- Biochemistry and Molecular Genetics Service, Hospital Clínic-IDIBAPS, Barcelona, Spain.,European Foundation for the Study of Chronic Liver Failure (EF Clif) and Grifols Chair, Barcelona, Spain.,CIBERehd, Barcelona, Spain.,Department of Biomedical Sciences, University of Barcelona, Barcelona, Spain
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112
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Schönefeldt S, Wais T, Herling M, Mustjoki S, Bekiaris V, Moriggl R, Neubauer HA. The Diverse Roles of γδ T Cells in Cancer: From Rapid Immunity to Aggressive Lymphoma. Cancers (Basel) 2021; 13:6212. [PMID: 34944832 PMCID: PMC8699114 DOI: 10.3390/cancers13246212] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 12/02/2021] [Accepted: 12/03/2021] [Indexed: 12/13/2022] Open
Abstract
γδ T cells are unique players in shaping immune responses, lying at the intersection between innate and adaptive immunity. Unlike conventional αβ T cells, γδ T cells largely populate non-lymphoid peripheral tissues, demonstrating tissue specificity, and they respond to ligands in an MHC-independent manner. γδ T cells display rapid activation and effector functions, with a capacity for cytotoxic anti-tumour responses and production of inflammatory cytokines such as IFN-γ or IL-17. Their rapid cytotoxic nature makes them attractive cells for use in anti-cancer immunotherapies. However, upon transformation, γδ T cells can give rise to highly aggressive lymphomas. These rare malignancies often display poor patient survival, and no curative therapies exist. In this review, we discuss the diverse roles of γδ T cells in immune surveillance and response, with a particular focus on cancer immunity. We summarise the intriguing dichotomy between pro- and anti-tumour functions of γδ T cells in solid and haematological cancers, highlighting the key subsets involved. Finally, we discuss potential drivers of γδ T-cell transformation, summarising the main γδ T-cell lymphoma/leukaemia entities, their clinical features, recent advances in mapping their molecular and genomic landscapes, current treatment strategies and potential future targeting options.
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Affiliation(s)
- Susann Schönefeldt
- Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, 1210 Vienna, Austria; (S.S.); (T.W.); (R.M.)
| | - Tamara Wais
- Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, 1210 Vienna, Austria; (S.S.); (T.W.); (R.M.)
| | - Marco Herling
- Department of Hematology, Cellular Therapy and Hemostaseology, University of Leipzig, 04103 Leipzig, Germany;
| | - Satu Mustjoki
- Hematology Research Unit Helsinki, Helsinki University Hospital Comprehensive Cancer Center, 00290 Helsinki, Finland;
- iCAN Digital Precision Cancer Medicine Flagship, 00014 Helsinki, Finland
- Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, 00014 Helsinki, Finland
| | - Vasileios Bekiaris
- Department of Health Technology, Technical University of Denmark, 2800 Kongens Lyngby, Denmark;
| | - Richard Moriggl
- Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, 1210 Vienna, Austria; (S.S.); (T.W.); (R.M.)
| | - Heidi A. Neubauer
- Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, 1210 Vienna, Austria; (S.S.); (T.W.); (R.M.)
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113
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Corsale AM, Di Simone M, Lo Presti E, Picone C, Dieli F, Meraviglia S. Metabolic Changes in Tumor Microenvironment: How Could They Affect γδ T Cells Functions? Cells 2021; 10:2896. [PMID: 34831116 PMCID: PMC8616133 DOI: 10.3390/cells10112896] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 10/21/2021] [Accepted: 10/21/2021] [Indexed: 12/15/2022] Open
Abstract
The metabolic changes that occur in tumor microenvironment (TME) can influence not only the biological activity of tumor cells, which become more aggressive and auto sustained, but also the immune response against tumor cells, either producing ineffective responses or polarizing the response toward protumor activity. γδ T cells are a subset of T cells characterized by a plasticity that confers them the ability to differentiate towards different cell subsets according to the microenvironment conditions. On this basis, we here review the more recent studies focused on altered tumor metabolism and γδ T cells, considering their already known antitumor role and the possibility of manipulating their effector functions by in vitro and in vivo approaches. γδ T cells, thanks to their unique features, are themselves a valid alternative to overcome the limits associated with the use of conventional T cells, such as major histocompatibility complex (MHC) restriction, costimulatory signal and specific tumor-associated antigen recognition. Lipids, amino acids, hypoxia, prostaglandins and other metabolic changes inside the tumor microenvironment could reduce the efficacy of this important immune population and polarize γδ T cells toward IL17 producing cells that play a pro tumoral role. A deeper knowledge of this phenomenon could be helpful to formulate new immunotherapeutic approaches that target tumor metabolisms.
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Affiliation(s)
- Anna Maria Corsale
- Department of Biomedicine, Neurosciences and Advanced Diagnosis, University of Palermo, 90133 Palermo, Italy; (A.M.C.); (M.D.S.); (C.P.); (F.D.)
- Central Laboratory of Advanced Diagnosis and Biomedical Research (CLADIBIOR), University of Palermo, 90127 Palermo, Italy
| | - Marta Di Simone
- Department of Biomedicine, Neurosciences and Advanced Diagnosis, University of Palermo, 90133 Palermo, Italy; (A.M.C.); (M.D.S.); (C.P.); (F.D.)
- Central Laboratory of Advanced Diagnosis and Biomedical Research (CLADIBIOR), University of Palermo, 90127 Palermo, Italy
| | - Elena Lo Presti
- National Research Council (CNR), Institute for Biomedical Research and Innovation (IRIB), 90146 Palermo, Italy;
| | - Carmela Picone
- Department of Biomedicine, Neurosciences and Advanced Diagnosis, University of Palermo, 90133 Palermo, Italy; (A.M.C.); (M.D.S.); (C.P.); (F.D.)
- Central Laboratory of Advanced Diagnosis and Biomedical Research (CLADIBIOR), University of Palermo, 90127 Palermo, Italy
| | - Francesco Dieli
- Department of Biomedicine, Neurosciences and Advanced Diagnosis, University of Palermo, 90133 Palermo, Italy; (A.M.C.); (M.D.S.); (C.P.); (F.D.)
- Central Laboratory of Advanced Diagnosis and Biomedical Research (CLADIBIOR), University of Palermo, 90127 Palermo, Italy
| | - Serena Meraviglia
- Department of Biomedicine, Neurosciences and Advanced Diagnosis, University of Palermo, 90133 Palermo, Italy; (A.M.C.); (M.D.S.); (C.P.); (F.D.)
- Central Laboratory of Advanced Diagnosis and Biomedical Research (CLADIBIOR), University of Palermo, 90127 Palermo, Italy
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114
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Sumaria N, Martin S, Pennington DJ. Constrained TCRγδ-associated Syk activity engages PI3K to facilitate thymic development of IL-17A-secreting γδ T cells. Sci Signal 2021; 14:14/692/eabc5884. [PMID: 34285131 DOI: 10.1126/scisignal.abc5884] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Murine γδ17 cells, which are T cells that bear the γδ T cell receptor (TCRγδ) and secrete interleukin-17A (IL-17A), are generated in the thymus and are critical for various immune responses. Although strong TCRγδ signals are required for the development of interferon-γ (IFN-γ)-secreting γδ cells (γδIFN cells), the generation of γδ17 cells requires weaker TCRγδ signaling. Here, we demonstrated that constrained activation of the kinase Syk downstream of TCRγδ was required for the thymic development of γδ17 cells. Increasing or decreasing Syk activity by stimulating TCRγδ or inhibiting Syk, respectively, substantially reduced γδ17 cell numbers. This delimited Syk activity optimally engaged the phosphoinositide 3-kinase (PI3K)-Akt signaling pathway, which maintained the expression of master regulators of the IL-17 program, RORγt and c-Maf. Inhibition of PI3K not only abrogated γδ17 cell development but also augmented the development of a distinct, previously undescribed subset of γδ T cells. These CD8+Ly6a+ γδ T cells had a type-I IFN gene expression signature and expanded in response to stimulation with IFN-β. Collectively, these studies elucidate how weaker TCRγδ signaling engages distinct signaling pathways to specify the γδ17 cell fate and identifies a role for type-I IFNs in γδ T cell development.
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Affiliation(s)
- Nital Sumaria
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, 4 Newark Street, London E1 2AT, UK
| | - Stefania Martin
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, 4 Newark Street, London E1 2AT, UK
| | - Daniel J Pennington
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, 4 Newark Street, London E1 2AT, UK.
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115
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Regulation and Functions of Protumoral Unconventional T Cells in Solid Tumors. Cancers (Basel) 2021; 13:cancers13143578. [PMID: 34298791 PMCID: PMC8304984 DOI: 10.3390/cancers13143578] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Revised: 07/02/2021] [Accepted: 07/12/2021] [Indexed: 01/03/2023] Open
Abstract
The vast majority of studies on T cell biology in tumor immunity have focused on peptide-reactive conventional T cells that are restricted to polymorphic major histocompatibility complex molecules. However, emerging evidence indicated that unconventional T cells, including γδ T cells, natural killer T (NKT) cells and mucosal-associated invariant T (MAIT) cells are also involved in tumor immunity. Unconventional T cells span the innate-adaptive continuum and possess the unique ability to rapidly react to nonpeptide antigens via their conserved T cell receptors (TCRs) and/or to activating cytokines to orchestrate many aspects of the immune response. Since unconventional T cell lineages comprise discrete functional subsets, they can mediate both anti- and protumoral activities. Here, we review the current understanding of the functions and regulatory mechanisms of protumoral unconventional T cell subsets in the tumor environment. We also discuss the therapeutic potential of these deleterious subsets in solid cancers and why further feasibility studies are warranted.
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116
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Targeting butyrophilins for cancer immunotherapy. Trends Immunol 2021; 42:670-680. [PMID: 34253468 DOI: 10.1016/j.it.2021.06.002] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 06/11/2021] [Accepted: 06/11/2021] [Indexed: 01/06/2023]
Abstract
Vγ9Vδ2+ T cells form part of the innate immune repertoire and are activated by phosphorylated antigens produced by many bacteria and tumors. They have long been suggested as promising targets for anti-tumor therapies, but clinical trials so far have not shown major successes. Several recent discoveries could help to overcome these shortfalls, such as those leading to an improved understanding of the role of butyrophilin molecules BTN2A1 and BTN3A1, in Vγ9Vδ2+ T cell activation. Moreover, we propose that studies suggesting the presence of live bacteria in a variety of tumors (tumor microbiome), indicate that the latter might be harnessed as a source of high affinity bacterial phosphoantigen to trigger or enhance anti-tumor immune responses.
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117
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Lymphopenia in COVID-19: γδ T Cells-Based Therapeutic Opportunities. Vaccines (Basel) 2021; 9:vaccines9060562. [PMID: 34071430 PMCID: PMC8228064 DOI: 10.3390/vaccines9060562] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Revised: 05/23/2021] [Accepted: 05/25/2021] [Indexed: 12/22/2022] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection dysregulates the immune system by lymphopenia of B cells, monocytes, eosinophils, basophils, and cytotoxic cells such as CD8, γδ T cells, and natural killer (NK) cells. Despite many studies being conducted to better understand the effects of SARS-CoV-2 on the immune system, many mechanisms still remain unclear, hindering the development of novel therapeutic approaches and strategies to improve the host’s immune defense. This mini-review summarizes the findings on the role of γδ T cells in coronavirus disease 2019 (COVID-19), providing an overview of the excellent anti-viral therapeutic potential of γδ T cells, that had not yet been exploited in depth.
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118
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Chen W, Lai D, Li Y, Wang X, Pan Y, Fang X, Fan J, Shu Q. Neuronal-Activated ILC2s Promote IL-17A Production in Lung γδ T Cells During Sepsis. Front Immunol 2021; 12:670676. [PMID: 33995408 PMCID: PMC8119647 DOI: 10.3389/fimmu.2021.670676] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 04/15/2021] [Indexed: 01/13/2023] Open
Abstract
Background Studies have revealed important roles for IL-17A in the development of acute lung injury (ALI) following sepsis. However, the mechanism underlying the regulation of lung IL-17A remains to be fully addressed. Recent studies suggested the effect of neuromedin U (NMU) on immune cell activation and the role of group 2 innate lymphoid cells (ILC2s) in the modulation of IL-17A production. We aimed to gain in-depth insight into the mechanism underlying sepsis-induced lung IL-17A production, particularly, the role of NMU in mediating neuronal regulation of ILC2s and IL-17A-producing γδ T cells activation in sepsis. Methods Wild type mice were subjected to cecal ligation and puncture (CLP) to induce sepsis with or without intraperitoneal injection of NMU. The levels of ILC2s, γδ T cells, IL-17A, NMU and NMU receptor 1 (NMUR1) in the lung were then measured. In order to determine the role of NMU signaling in ILC2 activation and the role of ILC2-released IL-9 in ILC2-γδ T cell interaction, ILC2s were sorted, and the genes of nmur1 and il9 in the ILC2s were knocked down using CRISPR/Cas9. The genetically manipulated ILC2s were then co-cultured with lung γδ T cells, and the levels of IL-17A from co-culture systems were measured. Results In septic mice, the levels of NMU, IL-17A, ILC2s, and IL-17A-producing γδ T cells in the lung are significantly increased, and the expression of NMUR1 in ILC2s is increased as well. Exogenous NMU further augments these increases. The main source of IL-17A in response to CLP is γδ T cells, and lung nmur1 is specifically expressed in ILC2s. In vitro co-culture of ILC2s and γδ T cells leads to increased number of γδ T cells and higher production of IL-17A from γδ T cells, and these alterations are further augmented by septic treatment and exogenous NMU. Genetic knockdown of nmur1 or il9 in ILC2s attenuated the upregulation of γδ T cells and IL-17A production. Conclusion In sepsis, NMU acting through NMUR1 in lung ILC2s initiates the ILC2 activation, which, in turn, promote IL-17A-producing γδ T cell expansion and secretion of IL-17A. ILC2-derived IL-9 plays an important role in mediating γδ T cell expansion and IL-17A production. This study explores a new mechanism underlying neuronal regulation of innate immunity in sepsis.
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Affiliation(s)
- Weiwei Chen
- Department of Thoracic and Cardiovascular Surgery, National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Dengming Lai
- Department of Thoracic and Cardiovascular Surgery, National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yuehua Li
- Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.,Research and Development, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, United States
| | - Xueke Wang
- Department of Thoracic and Cardiovascular Surgery, National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yihang Pan
- Department of Thoracic and Cardiovascular Surgery, National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiangming Fang
- Department of Anesthesiology and Intensive Care Unit, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jie Fan
- Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.,Research and Development, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, United States.,McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Qiang Shu
- Department of Thoracic and Cardiovascular Surgery, National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China
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119
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Bechara R, McGeachy MJ, Gaffen SL. The metabolism-modulating activity of IL-17 signaling in health and disease. J Exp Med 2021; 218:211951. [PMID: 33822846 PMCID: PMC8025242 DOI: 10.1084/jem.20202191] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 01/08/2021] [Accepted: 02/25/2021] [Indexed: 12/22/2022] Open
Abstract
IL-17 was discovered nearly 30 yr ago, but it has only been recently appreciated that a key function of this cytokine is to orchestrate cellular and organismal metabolism. Indeed, metabolic regulation is integrated into both the physiological and the pathogenic aspects of IL-17 responses. Thus, understanding the interplay between IL-17 and downstream metabolic processes could ultimately inform therapeutic opportunities for diseases involving IL-17, including some not traditionally linked to this cytokine pathway. Here, we discuss the emerging pathophysiological roles of IL-17 related to cellular and organismal metabolism, including metabolic regulation of IL-17 signal transduction.
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Affiliation(s)
- Rami Bechara
- Division of Rheumatology and Clinical Immunology, University of Pittsburgh, Pittsburgh, PA
| | - Mandy J McGeachy
- Division of Rheumatology and Clinical Immunology, University of Pittsburgh, Pittsburgh, PA
| | - Sarah L Gaffen
- Division of Rheumatology and Clinical Immunology, University of Pittsburgh, Pittsburgh, PA
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