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López Malizia A, Merlotti A, Bonte PE, Sager M, Arribas De Sandoval Y, Goudot C, Erra Díaz F, Pereyra-Gerber P, Ceballos A, Amigorena S, Geffner J, Sabatte J. Clusterin protects mature dendritic cells from reactive oxygen species mediated cell death. Oncoimmunology 2023; 13:2294564. [PMID: 38125724 PMCID: PMC10730137 DOI: 10.1080/2162402x.2023.2294564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 12/08/2023] [Indexed: 12/23/2023] Open
Abstract
Dendritic cells (DCs) play a key role in the induction of the adaptive immune response. They capture antigens in peripheral tissues and prime naïve T lymphocytes, triggering the adaptive immune response. In the course of inflammatory processes DCs face stressful conditions including hypoxia, low pH and high concentrations of reactive oxygen species (ROS), among others. How DCs survive under these adverse conditions remain poorly understood. Clusterin is a protein highly expressed by tumors and usually associated with bad prognosis. It promotes cancer cell survival by different mechanisms such as apoptosis inhibition and promotion of autophagy. Here, we show that, upon maturation, human monocyte-derived DCs (MoDCs) up-regulate clusterin expression. Clusterin protects MoDCs from ROS-mediated toxicity, enhancing DC survival and promoting their ability to induce T cell activation. In line with these results, we found that clusterin is expressed by a population of mature LAMP3+ DCs, called mregDCs, but not by immature DCs in human cancer. The expression of clusterin by intratumoral DCs was shown to be associated with a transcriptomic profile indicative of cellular response to stress. These results uncover an important role for clusterin in DC physiology.
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Affiliation(s)
- Alvaro López Malizia
- Instituto de Investigaciones Biomédicas en Retrovirus y SIDA (INBIRS), Buenos Aires University, School of Medicine, Buenos Aires, Argentina
| | | | | | - Melina Sager
- Instituto de Investigaciones Biomédicas en Retrovirus y SIDA (INBIRS), Buenos Aires University, School of Medicine, Buenos Aires, Argentina
| | | | - Christel Goudot
- Institut Curie, Université Paris Sciences et Lettres, Paris, France
| | - Fernando Erra Díaz
- Instituto de Investigaciones Biomédicas en Retrovirus y SIDA (INBIRS), Buenos Aires University, School of Medicine, Buenos Aires, Argentina
| | - Pehuén Pereyra-Gerber
- Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), Department of Medicine, University of Cambridge, Cambridge, UK
| | - Ana Ceballos
- Instituto de Investigaciones Biomédicas en Retrovirus y SIDA (INBIRS), Buenos Aires University, School of Medicine, Buenos Aires, Argentina
| | | | - Jorge Geffner
- Instituto de Investigaciones Biomédicas en Retrovirus y SIDA (INBIRS), Buenos Aires University, School of Medicine, Buenos Aires, Argentina
| | - Juan Sabatte
- Instituto de Investigaciones Biomédicas en Retrovirus y SIDA (INBIRS), Buenos Aires University, School of Medicine, Buenos Aires, Argentina
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Shi Z, Li Y, Jaberi-Douraki M. Hybrid computational modeling demonstrates the utility of simulating complex cellular networks in type 1 diabetes. PLoS Comput Biol 2021; 17:e1009413. [PMID: 34570760 PMCID: PMC8496846 DOI: 10.1371/journal.pcbi.1009413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 10/07/2021] [Accepted: 09/01/2021] [Indexed: 11/29/2022] Open
Abstract
Persistent destruction of pancreatic β-cells in type 1 diabetes (T1D) results from multifaceted pancreatic cellular interactions in various phase progressions. Owing to the inherent heterogeneity of coupled nonlinear systems, computational modeling based on T1D etiology help achieve a systematic understanding of biological processes and T1D health outcomes. The main challenge is to design such a reliable framework to analyze the highly orchestrated biology of T1D based on the knowledge of cellular networks and biological parameters. We constructed a novel hybrid in-silico computational model to unravel T1D onset, progression, and prevention in a non-obese-diabetic mouse model. The computational approach that integrates mathematical modeling, agent-based modeling, and advanced statistical methods allows for modeling key biological parameters and time-dependent spatial networks of cell behaviors. By integrating interactions between multiple cell types, model results captured the individual-specific dynamics of T1D progression and were validated against experimental data for the number of infiltrating CD8+T-cells. Our simulation results uncovered the correlation between five auto-destructive mechanisms identifying a combination of potential therapeutic strategies: the average lifespan of cytotoxic CD8+T-cells in islets; the initial number of apoptotic β-cells; recruitment rate of dendritic-cells (DCs); binding sites on DCs for naïve CD8+T-cells; and time required for DCs movement. Results from therapy-directed simulations further suggest the efficacy of proposed therapeutic strategies depends upon the type and time of administering therapy interventions and the administered amount of therapeutic dose. Our findings show modeling immunogenicity that underlies autoimmune T1D and identifying autoantigens that serve as potential biomarkers are two pressing parameters to predict disease onset and progression.
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Affiliation(s)
- Zhenzhen Shi
- 1DATA Consortium, Kansas State University Olathe, Olathe, Kansas, United States of America
- Department of Mathematics, Kansas State University, Manhattan, Kansas, United States of America
| | - Yang Li
- Laboratory of Immunology and Nanomedicine, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Science, Shenzhen, China
| | - Majid Jaberi-Douraki
- 1DATA Consortium, Kansas State University Olathe, Olathe, Kansas, United States of America
- Department of Mathematics, Kansas State University, Manhattan, Kansas, United States of America
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Tassi I, Claudio E, Wang H, Tang W, Ha HL, Saret S, Ramaswamy M, Siegel R, Siebenlist U. The NF-κB regulator Bcl-3 governs dendritic cell antigen presentation functions in adaptive immunity. THE JOURNAL OF IMMUNOLOGY 2014; 193:4303-11. [PMID: 25246497 DOI: 10.4049/jimmunol.1401505] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Bcl-3 is an atypical member of the IκB family and modulates gene expression via interaction with p50/NF-κB1 or p52/NF-κB2 homodimers. We report in the present study that Bcl-3 is required in dendritic cells (DCs) to assure effective priming of CD4 and CD8 T cells. Lack of Bcl-3 in bone marrow-derived DCs blunted their ability to expand and promote effector functions of T cells upon Ag/adjuvant challenge in vitro and after adoptive transfers in vivo. Importantly, the critical role of Bcl-3 for priming of T cells was exposed upon Ag/adjuvant challenge of mice specifically ablated of Bcl-3 in DCs. Furthermore, Bcl-3 in endogenous DCs was necessary for contact hypersensitivity responses. Bcl-3 modestly aided maturation of DCs, but most consequentially, Bcl-3 promoted their survival, partially inhibiting expression of several antiapoptotic genes. Loss of Bcl-3 accelerated apoptosis of bone marrow-derived DCs during Ag presentation to T cells, and DC survival was markedly impaired in the context of inflammatory conditions in mice specifically lacking Bcl-3 in these cells. Conversely, selective overexpression of Bcl-3 in DCs extended their lifespan in vitro and in vivo, correlating with increased capacity to prime T cells. These results expose a previously unidentified function for Bcl-3 in DC survival and the generation of adaptive immunity.
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Affiliation(s)
- Ilaria Tassi
- Laboratory of Molecular Immunology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892; and
| | - Estefania Claudio
- Laboratory of Molecular Immunology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892; and
| | - Hongshan Wang
- Laboratory of Molecular Immunology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892; and
| | - Wanhu Tang
- Laboratory of Molecular Immunology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892; and
| | - Hye-lin Ha
- Laboratory of Molecular Immunology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892; and
| | - Sun Saret
- Laboratory of Molecular Immunology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892; and
| | - Madhu Ramaswamy
- Immunoregulation Section, Autoimmunity Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD 20892
| | - Richard Siegel
- Immunoregulation Section, Autoimmunity Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD 20892
| | - Ulrich Siebenlist
- Laboratory of Molecular Immunology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892; and
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Ma Y, Shurin GV, Peiyuan Z, Shurin MR. Dendritic cells in the cancer microenvironment. J Cancer 2012; 4:36-44. [PMID: 23386903 PMCID: PMC3564245 DOI: 10.7150/jca.5046] [Citation(s) in RCA: 241] [Impact Index Per Article: 20.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2012] [Accepted: 12/01/2012] [Indexed: 01/01/2023] Open
Abstract
The complexity of the tumor immunoenvironment is underscored by the emergence and discovery of different subsets of immune effectors and regulatory cells. Tumor-induced polarization of immune cell differentiation and function makes this unique environment even more intricate and variable. Dendritic cells (DCs) represent a special group of cells that display different phenotype and activity at the tumor site and exhibit differential pro-tumorigenic and anti-tumorigenic functions. DCs play a key role in inducing and maintaining the antitumor immunity, but in the tumor environment their antigen-presenting function may be lost or inefficient. DCs might be also polarized into immunosuppressive/tolerogenic regulatory DCs, which limit activity of effector T cells and support tumor growth and progression. Although various factors and signaling pathways have been described to be responsible for abnormal functioning of DCs in cancer, there are still no feasible therapeutic modalities available for preventing or reversing DC malfunction in tumor-bearing hosts. Thus, better understanding of DC immunobiology in cancer is pivotal for designing novel or improved therapeutic approaches that will allow proper functioning of DCs in patients with cancer.
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Affiliation(s)
- Yang Ma
- 1. Departments of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
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Abstract
Dengue viruses and other members of the Flaviviridae family are emerging human pathogens. Dengue is transmitted to humans by Aedes aegypti female mosquitoes. Following infection through the bite, cells of the hematopoietic lineage, like dendritic cells, are the first targets of dengue virus infection. Dendritic cells (DCs) are key antigen presenting cells, sensing pathogens, processing and presenting the antigens to T lymphocytes, and triggering an adaptive immune response. Infection of DCs by dengue virus may induce apoptosis, impairing their ability to present antigens to T cells, and thereby contributing to dengue pathogenesis. This review focuses on general mechanisms by which dengue virus triggers apoptosis, and possible influence of DC-apoptosis on dengue disease severity.
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