Metabolic alterations impair differentiation and effector functions of CD8+T cells

被引:4
|
作者
Bensussen, Antonio [1 ]
Santana, Maria Angelica [2 ]
Rodriguez-Jorge, Otoniel [2 ]
机构
[1] Univ Autonoma Estado Morelos, Ctr Invest Dinam Celular, Lab Dinam Redes Genet, Cuernavaca, Mexico
[2] Univ Autonoma Estado Morelos, Ctr Invest Dinam Celular, Lab Inmunol, Cuernavaca, Mexico
来源
FRONTIERS IN IMMUNOLOGY | 2022年 / 13卷
关键词
CD8+T cells; metabolism; ROS; mTORC2; high-fat diet; alcohol consumption; diabetes; systems biology; T-CELLS; MEMORY;
D O I
10.3389/fimmu.2022.945980
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
CD8+ T lymphocytes are one of the main effector cells of the immune system, they protect the organism against intracellular threats such as viruses and bacteria, as well as neoplasms. It is currently well established that CD8+ T cells have distinct immune responses, given by their phenotypes Tc1, Tc2, Tc17, and TcReg. The cellular plasticity of such phenotypes depends on the presence of different combinations of cytokines in the extracellular medium. It is known that metabolic imbalances play an important role in immune response, but the precise role of metabolic disturbances on the differentiation and function of CD8+ T cells, however, has not been explored. In this work, we used a computational model to explore the potential effect of metabolic alterations such as hyperglycemia, high alcohol consumption, dyslipidemia, and diabetes on CD8+ T cell differentiation. Our model predicts that metabolic alterations preclude the effector function of all CD8+ T cell phenotypes except for TcReg cells. It also suggests that such inhibition originates from the increase of reactive oxygen species in response to metabolic stressors. Finally, we simulated the outcome of treating metabolic-inhibited CD8+ T cells with drugs targeting key molecules such as mTORC1, mTORC2, Akt, and others. We found that overstimulation of mTORC2 may restore cell differentiation and functions of all effector phenotypes, even in diabetic patients. These findings highlight the importance of our predictive model to find potential targets to strengthen immunosuppressed patients in chronic diseases, like diabetes.
引用
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页数:13
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