A global view of T cell metabolism in systemic lupus erythematosus

被引:1
作者
Goetz, Andrew [1 ]
Cagmat, Joy [2 ]
Brusko, Maigan [2 ]
Brusko, Todd M. [2 ]
Rushin, Anna [3 ]
Merritt, Matthew [3 ]
Garrett, Timothy [2 ]
Morel, Laurence [4 ]
Dixit, Purushottam [1 ,5 ]
机构
[1] Yale Univ, Dept Biomed Engn, New Haven, CT 06511 USA
[2] Univ Florida, Dept Pathol, Gainesville, FL USA
[3] Univ Florida, Dept Biochem & Mol Biol, Gainesville, FL USA
[4] Univ Texas UT Hlth San Antonio, Dept Microbiol Immunol & Mol Genet, San Antonio, TX 78229 USA
[5] Yale Univ, Syst Biol Inst, West Haven, CT 06516 USA
基金
美国国家卫生研究院;
关键词
flux balance analysis; CD4 T cell; metabolic network; lupus; multiomic analyses;
D O I
10.3389/fimmu.2024.1371708
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Impaired metabolism is recognized as an important contributor to pathogenicity of T cells in Systemic Lupus Erythematosus (SLE). Over the last two decades, we have acquired significant knowledge about the signaling and transcriptomic programs related to metabolic rewiring in healthy and SLE T cells. However, our understanding of metabolic network activity derives largely from studying metabolic pathways in isolation. Here, we argue that enzymatic activities are necessarily coupled through mass and energy balance constraints with in-built network-wide dependencies and compensation mechanisms. Therefore, metabolic rewiring of T cells in SLE must be understood in the context of the entire network, including changes in metabolic demands such as shifts in biomass composition and cytokine secretion rates as well as changes in uptake/excretion rates of multiple nutrients and waste products. As a way forward, we suggest cell physiology experiments and integration of orthogonal metabolic measurements through computational modeling towards a comprehensive understanding of T cell metabolism in lupus.
引用
收藏
页数:8
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