351
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Zhang J, Chen C, Fu H, Yu J, Sun Y, Huang H, Tang Y, Shen N, Duan Y. MicroRNA-125a-Loaded Polymeric Nanoparticles Alleviate Systemic Lupus Erythematosus by Restoring Effector/Regulatory T Cells Balance. ACS NANO 2020; 14:4414-4429. [PMID: 32203665 DOI: 10.1021/acsnano.9b09998] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Systemic lupus erythematosus (SLE), a common lethal autoimmune disease, is characterized by effector/regulatory T cells imbalance. Current therapies are either inefficient or have severe side effects. MicroRNA-125a (miR-125a) can stabilize Treg-mediated self-tolerance by targeting effector programs, but it is significantly downregulated in peripheral T cells of patients with SLE. Therefore, overexpression of miR-125a may have therapeutic potential to treat SLE. Considering the stability and targeted delivery of miRNA remains a major challenge in vivo, we constructed a monomethoxy (polyethylene glycol)-poly(d,l-lactide-co-glycolide)-poly(l-lysine) (mPEG-PLGA-PLL) nanodelivery system to deliver miR-125a into splenic T cells. Results demonstrate that miR-125a-loaded mPEG-PLGA-PLL (PEALmiR-125a) nanoparticles (NPs) exhibit good biocompatibility and protect miR-125a from degradation, thereby prolonging the circulatory time of miRNA in vivo. In addition, PEALmiR-125a NPs are preferentially enriched in a pathological spleen and efficiently deliver miR-125a into the splenic T cells in SLE mice models. The PEALmiR-125a NPs treatment significantly alleviates SLE disease progression by reversing the imbalance of effector/regulatory T cells. Collectively, the PEALmiR-125a NPs show excellent therapeutic efficacy and safety, which may provide an effective treatment for SLE.
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Affiliation(s)
- Jiali Zhang
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200032, China
| | - Chuanrong Chen
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200032, China
| | - Hao Fu
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200032, China
| | - Jian Yu
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200032, China
| | - Ying Sun
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200032, China
| | - Hui Huang
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200032, China
| | - Yuanjia Tang
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Nan Shen
- Shanghai Institute of Rheumatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
- Institute of Health Sciences, Shanghai Jiao Tong University School of Medicine and Shanghai Institutes for Biological Sciences (SIBS), University of Chinese Academy of Sciences, Chinese Academy of Sciences (CAS), Shanghai 200031, China
- Center for Autoimmune Genomics and Etiology (CAGE), Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio 45229, United States
| | - Yourong Duan
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200032, China
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352
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Fong EJ, Strelez C, Mumenthaler SM. A Perspective on Expanding Our Understanding of Cancer Treatments by Integrating Approaches from the Biological and Physical Sciences. SLAS DISCOVERY 2020; 25:672-683. [PMID: 32297829 PMCID: PMC7372587 DOI: 10.1177/2472555220915830] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Multicellular systems such as cancer suffer from immense complexity. It is imperative to capture the heterogeneity of these systems across scales to achieve a deeper understanding of the underlying biology and develop effective treatment strategies. In this perspective article, we will discuss how recent technologies and approaches from the biological and physical sciences have transformed traditional ways of measuring, interpreting, and treating cancer. During the SLAS 2019 Annual Meeting, SBI2 hosted a Special Interest Group (SIG) on this topic. Academic and industry leaders engaged in discussions surrounding what biological model systems are appropriate to study cancer complexity, what assays are necessary to interrogate this complexity, and how physical sciences approaches may be useful to detangle this complexity. In particular, we examined the utility of mathematical models in predicting cancer progression and treatment response when tightly integrated with reproducible, quantitative, and dynamic biological measurements achieved using high-content imaging and analysis. The dialogue centered around the impetus for convergent biosciences, bringing new perspectives to cancer research to further understand this complex adaptive system and successfully intervene therapeutically.
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Affiliation(s)
- Emma J Fong
- Lawrence J. Ellison Institute for Transformative Medicine, University of Southern California, Los Angeles, CA, USA
| | - Carly Strelez
- Lawrence J. Ellison Institute for Transformative Medicine, University of Southern California, Los Angeles, CA, USA
| | - Shannon M Mumenthaler
- Lawrence J. Ellison Institute for Transformative Medicine, University of Southern California, Los Angeles, CA, USA
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353
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Jin J, Li X, Hu B, Kim C, Cao W, Zhang H, Weyand CM, Goronzy JJ. FOXO1 deficiency impairs proteostasis in aged T cells. SCIENCE ADVANCES 2020; 6:eaba1808. [PMID: 32494657 PMCID: PMC7176426 DOI: 10.1126/sciadv.aba1808] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Accepted: 01/28/2020] [Indexed: 05/21/2023]
Abstract
T cell differentiation involves the dynamic regulation of FOXO1 expression, which rapidly declines after activation and is subsequently restored. Reexpression is impaired in naïve CD4+ T cell responses from older individuals. Here, we show that FOXO1 promotes lysosome function through the induction of the key transcription factor for lysosomal proteins, TFEB. Subdued FOXO1 reexpression in activated CD4+ T cells impairs lysosomal activity, causing an expansion of multivesicular bodies (MVBs). Expansion of the MVB compartment induces the sequestration of glycogen synthase kinase 3β (GSK3β), thereby suppressing protein turnover and enhancing glycolytic activity. As a consequence, older activated CD4+ T cells develop features reminiscent of senescent cells. They acquire an increased cell mass, preferentially differentiate into short-lived effector T cells, and secrete exosomes that harm cells in the local environment through the release of granzyme B.
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Affiliation(s)
- Jun Jin
- Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA, USA
- Department of Medicine, Stanford University, Stanford, CA, USA
| | - Xuanying Li
- Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA, USA
- Department of Medicine, Stanford University, Stanford, CA, USA
| | - Bin Hu
- Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA, USA
- Department of Medicine, Stanford University, Stanford, CA, USA
| | - Chulwoo Kim
- Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA, USA
- Department of Medicine, Stanford University, Stanford, CA, USA
| | - Wenqiang Cao
- Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA, USA
- Department of Medicine, Stanford University, Stanford, CA, USA
| | - Huimin Zhang
- Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA, USA
- Department of Medicine, Stanford University, Stanford, CA, USA
| | - Cornelia M. Weyand
- Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA, USA
- Department of Medicine, Stanford University, Stanford, CA, USA
| | - Jorg J. Goronzy
- Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA, USA
- Department of Medicine, Stanford University, Stanford, CA, USA
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354
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Saravia J, Raynor JL, Chapman NM, Lim SA, Chi H. Signaling networks in immunometabolism. Cell Res 2020; 30:328-342. [PMID: 32203134 PMCID: PMC7118125 DOI: 10.1038/s41422-020-0301-1] [Citation(s) in RCA: 105] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Accepted: 02/24/2020] [Indexed: 02/06/2023] Open
Abstract
Adaptive immunity is essential for pathogen and tumor eradication, but may also trigger uncontrolled or pathological inflammation. T cell receptor, co-stimulatory and cytokine signals coordinately dictate specific signaling networks that trigger the activation and functional programming of T cells. In addition, cellular metabolism promotes T cell responses and is dynamically regulated through the interplay of serine/threonine kinases, immunological cues and nutrient signaling networks. In this review, we summarize the upstream regulators and signaling effectors of key serine/threonine kinase-mediated signaling networks, including PI3K–AGC kinases, mTOR and LKB1–AMPK pathways that regulate metabolism, especially in T cells. We also provide our perspectives about the pending questions and clinical applicability of immunometabolic signaling. Understanding the regulators and effectors of immunometabolic signaling networks may uncover therapeutic targets to modulate metabolic programming and T cell responses in human disease.
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Affiliation(s)
- Jordy Saravia
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Jana L Raynor
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Nicole M Chapman
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Seon Ah Lim
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Hongbo Chi
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
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355
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Ghosh-Choudhary S, Liu J, Finkel T. Metabolic Regulation of Cell Fate and Function. Trends Cell Biol 2020; 30:201-212. [PMID: 31983571 PMCID: PMC7043867 DOI: 10.1016/j.tcb.2019.12.005] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Revised: 12/10/2019] [Accepted: 12/17/2019] [Indexed: 02/08/2023]
Abstract
Increasing evidence implicates metabolic pathways as key regulators of cell fate and function. Although the metabolism of glucose, amino acids, and fatty acids is essential to maintain overall energy homeostasis, the choice of a given metabolic pathway and the levels of particular substrates and intermediates increasingly appear to modulate specific cellular activities. This connection is likely related to the growing appreciation that molecules such as acetyl-CoA act as a shared currency between metabolic flux and chromatin modification. We review recent evidence for a role of metabolism in modulating cellular function in four distinct contexts. These areas include the immune system, the tumor microenvironment, the fibrotic response, and stem cell function. Together, these examples suggest that metabolic pathways do not simply provide the fuel that powers cellular activities but instead help to shape and determine cellular identity.
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Affiliation(s)
| | - Jie Liu
- Aging Institute, University of Pittsburgh Medical Center, Pittsburgh, PA 15219, USA
| | - Toren Finkel
- Aging Institute, University of Pittsburgh Medical Center, Pittsburgh, PA 15219, USA.
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356
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Abstract
Abnormal T cell responses are central to the development of autoimmunity and organ damage in systemic lupus erythematosus. Following stimulation, naïve T cells undergo rapid proliferation, differentiation and cytokine production. Since the initial report, approximately two decades ago, that engagement of CD28 enhances glycolysis but PD-1 and CTLA-4 decrease it, significant information has been generated which has linked metabolic reprogramming with the fate of differentiating T cell in health and autoimmunity. Herein we summarize how defects in mitochondrial dysfunction, oxidative stress, glycolysis, glutaminolysis and lipid metabolism contribute to pro-inflammatory T cell responses in systemic lupus erythematosus and discuss how metabolic defects can be exploited therapeutically.
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357
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Seth Nanda C, Venkateswaran SV, Patani N, Yuneva M. Defining a metabolic landscape of tumours: genome meets metabolism. Br J Cancer 2020; 122:136-149. [PMID: 31819196 PMCID: PMC7051970 DOI: 10.1038/s41416-019-0663-7] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 11/06/2019] [Accepted: 11/08/2019] [Indexed: 12/13/2022] Open
Abstract
Cancer is a complex disease of multiple alterations occuring at the epigenomic, genomic, transcriptomic, proteomic and/or metabolic levels. The contribution of genetic mutations in cancer initiation, progression and evolution is well understood. However, although metabolic changes in cancer have long been acknowledged and considered a plausible therapeutic target, the crosstalk between genetic and metabolic alterations throughout cancer types is not clearly defined. In this review, we summarise the present understanding of the interactions between genetic drivers of cellular transformation and cancer-associated metabolic changes, and how these interactions contribute to metabolic heterogeneity of tumours. We discuss the essential question of whether changes in metabolism are a cause or a consequence in the formation of cancer. We highlight two modes of how metabolism contributes to tumour formation. One is when metabolic reprogramming occurs downstream of oncogenic mutations in signalling pathways and supports tumorigenesis. The other is where metabolic reprogramming initiates transformation being either downstream of mutations in oncometabolite genes or induced by chronic wounding, inflammation, oxygen stress or metabolic diseases. Finally, we focus on the factors that can contribute to metabolic heterogeneity in tumours, including genetic heterogeneity, immunomodulatory factors and tissue architecture. We believe that an in-depth understanding of cancer metabolic reprogramming, and the role of metabolic dysregulation in tumour initiation and progression, can help identify cellular vulnerabilities that can be exploited for therapeutic use.
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Affiliation(s)
| | | | - Neill Patani
- The Francis Crick Institute, 1 Midland Road, London, UK
| | - Mariia Yuneva
- The Francis Crick Institute, 1 Midland Road, London, UK.
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358
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Kiernan K, MacIver NJ. A Novel Mechanism for Th17 Inflammation in Human Type 2 Diabetes Mellitus. Trends Endocrinol Metab 2020; 31:1-2. [PMID: 31767267 DOI: 10.1016/j.tem.2019.11.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Accepted: 11/06/2019] [Indexed: 02/09/2023]
Abstract
In their recent study, Nicholas et al. challenge the current dogma that T cell inflammation must be fueled by glycolysis and demonstrate a novel metabolic mechanism for Th17 inflammation in human type 2 diabetes mellitus (T2DM): a combination of increased environmental long-chain fatty acid metabolites coupled with decreased fatty acid oxidation.
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Affiliation(s)
- Kaitlin Kiernan
- Department of Immunology, Duke University School of Medicine, Durham, NC, USA
| | - Nancie J MacIver
- Department of Immunology, Duke University School of Medicine, Durham, NC, USA; Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA; Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, USA.
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359
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HIF1α-Dependent Metabolic Signals Control the Differentiation of Follicular Helper T Cells. Cells 2019; 8:cells8111450. [PMID: 31744227 PMCID: PMC6912655 DOI: 10.3390/cells8111450] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 11/14/2019] [Accepted: 11/15/2019] [Indexed: 12/12/2022] Open
Abstract
Follicular helper T (TFH) cells are critical for germinal center (GC) formation and are responsible for effective B cell-mediated immunity; metabolic signaling is an important regulatory mechanism for the differentiation of TFH cells. However, the precise roles of hypoxia inducible factor (HIF) 1α-dependent glycolysis and oxidative phosphorylation (OXPHOS) metabolic signaling remain unclear in TFH cell differentiation. Herein, we investigated the effects of glycolysis and OXPHOS on TFH cell differentiation and GC responses using a pharmacological approach in mice under a steady immune status or an activated immune status, which can be caused by foreign antigen stimulation and viral infection. GC and TFH cell responses are related to signals from glycolytic metabolism in mice of different ages. Foreign, specific antigen-induced GC, and TFH cell responses and metabolic signals are essential upon PR8 infection. Glycolysis and succinate-mediated OXPHOS are required for the GC response and TFH cell differentiation. Furthermore, HIF1α is responsible for glycolysis- and OXPHOS-induced alterations in the GC response and TFH cell differentiation under steady or activated conditions in vivo. Blocking glycolysis and upregulating OXPHOS signaling significantly recovered TFH cell differentiation upon PR8 infection and ameliorated inflammatory damage in mice. Thus, our data provide a comprehensive experimental basis for fully understanding the precise roles of HIF1α-mediated glycolysis and OXPHOS metabolic signaling in regulating the GC response and TFH cell differentiation during stable physiological conditions or an antiviral immune response.
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360
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Di Dedda C, Vignali D, Piemonti L, Monti P. Pharmacological Targeting of GLUT1 to Control Autoreactive T Cell Responses. Int J Mol Sci 2019; 20:E4962. [PMID: 31597342 PMCID: PMC6801424 DOI: 10.3390/ijms20194962] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Revised: 10/02/2019] [Accepted: 10/04/2019] [Indexed: 01/10/2023] Open
Abstract
An increasing body of evidence indicates that bio-energetic metabolism of T cells can be manipulated to control T cell responses. This potentially finds a field of application in the control of the T cell responses in autoimmune diseases, including in type 1 diabetes (T1D). Of the possible metabolic targets, Glut1 gained considerable interest because of its pivotal role in glucose uptake to fuel glycolysis in activated T cells, and the recent development of a novel class of small molecules that act as selective inhibitor of Glut1. We believe we can foresee a possible application of pharmacological Glut1 blockade approach to control autoreactive T cells that destroy insulin producing beta cells. However, Glut1 is expressed in a broad range of cells in the body and off-target and side effect are possible complications. Moreover, the duration of the treatment and the age of patients are critical aspects that need to be addressed to reduce toxicity. In this paper, we will review recent literature to determine whether it is possible to design a pharmacological Glut1 blocking strategy and how to apply this to autoimmunity in T1D.
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Affiliation(s)
- Carla Di Dedda
- San Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, 20133 Milan, Italy.
| | - Debora Vignali
- San Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, 20133 Milan, Italy.
| | - Lorenzo Piemonti
- San Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, 20133 Milan, Italy.
| | - Paolo Monti
- San Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, 20133 Milan, Italy.
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