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  5. Lactate Limits T Cell Proliferation via the NAD(H) Redox State

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Article
en
2020

Lactate Limits T Cell Proliferation via the NAD(H) Redox State

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en
2020
Vol 33 (11)
Vol. 33
DOI: 10.1016/j.celrep.2020.108500

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Zhong Lin Wang
Zhong Lin Wang

Beijing Institute of Technology

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William J. Quinn
Jing Jiao
Tara TeSlaa
+20 more

Abstract

Immune cell function is influenced by metabolic conditions. Low-glucose, high-lactate environments, such as the placenta, gastrointestinal tract, and the tumor microenvironment, are immunosuppressive, especially for glycolysis-dependent effector T cells. We report that nicotinamide adenine dinucleotide (NAD+), which is reduced to NADH by lactate dehydrogenase in lactate-rich conditions, is a key point of metabolic control in T cells. Reduced NADH is not available for NAD+-dependent enzymatic reactions involving glyceraldehyde 3-phosphate dehydrogenase (GAPDH) and 3-phosphoglycerate dehydrogenase (PGDH). We show that increased lactate leads to a block at GAPDH and PGDH, leading to the depletion of post-GAPDH glycolytic intermediates, as well as the 3-phosphoglycerate derivative serine that is known to be important for T cell proliferation. Supplementing serine rescues the ability of T cells to proliferate in the presence of lactate-induced reductive stress. Directly targeting the redox state may be a useful approach for developing novel immunotherapies in cancer and therapeutic immunosuppression.

How to cite this publication

William J. Quinn, Jing Jiao, Tara TeSlaa, Jason Stadanlick, Zhong Lin Wang, Liqing Wang, Tatiana Akimova, Alessia Angelin, Patrick Schäfer, Michelle D. Cully, Caroline Perry, Piotr Kopiński, Lili Guo, Ian A. Blair, Louis R. Ghanem, Michael S. Leibowitz, Wayne W. Hancock, Edmund K. Moon, Matthew H. Levine, Evgeniy Eruslanov, Douglas C. Wallace, Joseph A. Baur, Ulf H. Beier (2020). Lactate Limits T Cell Proliferation via the NAD(H) Redox State. , 33(11), DOI: https://doi.org/10.1016/j.celrep.2020.108500.

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Publication Details

Type

Article

Year

2020

Authors

23

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1016/j.celrep.2020.108500

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