A global view of T cell metabolism in systemic lupus erythematosus.

Autor:	Goetz A; Department of Biomedical Engineering, Yale University, New Haven, CT, United States., Cagmat J; Department of Pathology, University of Florida, Gainesville, FL, United States., Brusko M; Department of Pathology, University of Florida, Gainesville, FL, United States., Brusko TM; Department of Pathology, University of Florida, Gainesville, FL, United States., Rushin A; Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, FL, United States., Merritt M; Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, FL, United States., Garrett T; Department of Pathology, University of Florida, Gainesville, FL, United States., Morel L; Department of Microbiology, Immunology & Molecular Genetics, University of Texas (UT) Health San Antonio, TX, United States., Dixit P; Department of Biomedical Engineering, Yale University, New Haven, CT, United States.; Systems Biology Institute, Yale University, West Haven, CT, United States.
Jazyk:	angličtina
Zdroj:	Frontiers in immunology [Front Immunol] 2024 May 02; Vol. 15, pp. 1371708. Date of Electronic Publication: 2024 May 02 (Print Publication: 2024).
DOI:	10.3389/fimmu.2024.1371708
Abstrakt:	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. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2024 Goetz, Cagmat, Brusko, Brusko, Rushin, Merritt, Garrett, Morel and Dixit.)
Databáze:	MEDLINE
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