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Li Y, Jia A, Yang H, Wang Y, Wang Y, Yang Q, Cao Y, Bi Y, Liu G. Protein Tyrosine Phosphatase PTPRO Signaling Couples Metabolic States to Control the Development of Granulocyte Progenitor Cells. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2022; 208:1434-1444. [PMID: 35246496 DOI: 10.4049/jimmunol.2100878] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 12/30/2021] [Indexed: 06/14/2023]
Abstract
Protein tyrosine phosphatase (PTPase) is critically involved in the regulation of hematopoietic stem cell development and differentiation. Roles of novel isolated receptor PTPase PTPRO from bone marrow hematopoietic stem cells in granulopoiesis have not been investigated. PTPRO expression is correlated with granulocytic differentiation, and Ptpro -/- mice developed neutrophilia, with an expanded granulocytic compartment resulting from a cell-autonomous increase in the number of granulocyte progenitors under steady-state and potentiated innate immune responses against Listeria monocytogenes infection. Mechanistically, mTOR and HIF1α signaling engaged glucose metabolism and initiated a transcriptional program involving the lineage decision factor C/EBPα, which is critically required for the PTPRO deficiency-directed granulopoiesis. Genetic ablation of mTOR or HIF1α or perturbation of glucose metabolism suppresses progenitor expansion, neutrophilia, and higher glycolytic activities by Ptpro -/- In addition, Ptpro -/- upregulated HIF1α regulates the lineage decision factor C/EBPα promoter activities. Thus, our findings identify a previously unrecognized interplay between receptor PTPase PTPRO signaling and mTOR-HIF1α metabolic reprogramming in progenitor cells of granulocytes that underlies granulopoiesis.
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Affiliation(s)
- Yan Li
- Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Anna Jia
- Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Hui Yang
- Department of Immunology, School of Basic Medical Sciences, Fudan University, Shanghai, China; and
| | - Yuexin Wang
- Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Yufei Wang
- Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Qiuli Yang
- Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Yejin Cao
- Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Yujing Bi
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Guangwei Liu
- Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, College of Life Sciences, Beijing Normal University, Beijing, China;
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Abstract
The body is exposed to foreign pathogens every day, but remarkably, most pathogens are effectively cleared by the innate immune system without the need to invoke the adaptive immune response. Key cellular components of the innate immune system include macrophages and neutrophils and the recruitment and function of these cells are tightly regulated by chemokines and cytokines in the tissue space. Innate immune responses are also known to regulate development of adaptive immune responses often via the secretion of various cytokines. In addition to these protein regulators, numerous lipid mediators can also influence innate and adaptive immune functions. In this review, we cover one particular lipid regulator, prostaglandin E2 (PGE2) and describe its synthesis and signaling and what is known about the ability of this lipid to regulate immunity and host defense against viral, fungal and bacterial pathogens.
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Affiliation(s)
| | - Bethany B Moore
- Pulmonary and Critical Care Medicine Division, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA; Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI, USA.
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Craig M, Humphries AR, Mackey MC. A Mathematical Model of Granulopoiesis Incorporating the Negative Feedback Dynamics and Kinetics of G-CSF/Neutrophil Binding and Internalization. Bull Math Biol 2016; 78:2304-2357. [PMID: 27324993 DOI: 10.1007/s11538-016-0179-8] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Accepted: 05/19/2016] [Indexed: 11/24/2022]
Abstract
We develop a physiological model of granulopoiesis which includes explicit modelling of the kinetics of the cytokine granulocyte colony-stimulating factor (G-CSF) incorporating both the freely circulating concentration and the concentration of the cytokine bound to mature neutrophils. G-CSF concentrations are used to directly regulate neutrophil production, with the rate of differentiation of stem cells to neutrophil precursors, the effective proliferation rate in mitosis, the maturation time, and the release rate from the mature marrow reservoir into circulation all dependent on the level of G-CSF in the system. The dependence of the maturation time on the cytokine concentration introduces a state-dependent delay into our differential equation model, and we show how this is derived from an age-structured partial differential equation model of the mitosis and maturation and also detail the derivation of the rest of our model. The model and its estimated parameters are shown to successfully predict the neutrophil and G-CSF responses to a variety of treatment scenarios, including the combined administration of chemotherapy and exogenous G-CSF. This concomitant treatment was reproduced without any additional fitting to characterize drug-drug interactions.
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Affiliation(s)
- M Craig
- Faculté de Pharmacie, Université de Montréal, Montréal, QC, H3T 1J4, Canada.
- Program for Evolutionary Dynamics, Harvard University, Cambridge, MA, 02138, USA.
| | - A R Humphries
- Department of Mathematics and Statistics, McGill University, Montréal, QC, H3A 0B9, Canada
| | - M C Mackey
- Departments of Mathematics, Physics and Physiology, McGill University, Montréal, QC, H3G 1Y6, Canada
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Chen X, Lu Y, Zhang Z, Wang J, Yang H, Liu G. Intercellular interplay between Sirt1 signalling and cell metabolism in immune cell biology. Immunology 2015; 145:455-67. [PMID: 25890999 DOI: 10.1111/imm.12473] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2015] [Revised: 04/11/2015] [Accepted: 04/15/2015] [Indexed: 12/12/2022] Open
Abstract
Sirtuins are evolutionarily conserved class III histone deacetylases that have been the focus of intense scrutiny and interest since the discovery of Sir2 as a yeast longevity factor. Early reports demonstrated an important role of Sirt1 in aging and metabolism, but its critical regulatory role in the immune system has only been unveiled in recent years. In this review we discuss the latest advances in understanding the regulatory role of Sirt1 in immune responses as well as how Sirt1 translates metabolic cues to immune signals, which would bring new insights into both pathogenesis and potential therapeutic strategies of a variety of immune-related diseases, such as cancer, microbial infection, autoimmune diseases and transplantation.
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Affiliation(s)
- Xi Chen
- Department of Immunology, School of Basic Medical Sciences, Fudan University, Shanghai, China.,Biotherapy Research Centre and Institute of Immunobiology, Fudan University, Shanghai, China
| | - Yun Lu
- Department of Immunology, School of Basic Medical Sciences, Fudan University, Shanghai, China.,Biotherapy Research Centre and Institute of Immunobiology, Fudan University, Shanghai, China
| | - Zhengguo Zhang
- Department of Immunology, School of Basic Medical Sciences, Fudan University, Shanghai, China.,Biotherapy Research Centre and Institute of Immunobiology, Fudan University, Shanghai, China
| | - Jian Wang
- Department of Immunology, School of Basic Medical Sciences, Fudan University, Shanghai, China.,Biotherapy Research Centre and Institute of Immunobiology, Fudan University, Shanghai, China
| | - Hui Yang
- Department of Immunology, School of Basic Medical Sciences, Fudan University, Shanghai, China.,Biotherapy Research Centre and Institute of Immunobiology, Fudan University, Shanghai, China
| | - Guangwei Liu
- Department of Immunology, School of Basic Medical Sciences, Fudan University, Shanghai, China.,Biotherapy Research Centre and Institute of Immunobiology, Fudan University, Shanghai, China
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