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Glycolysis determines dichotomous regulation of T cell subsets in hypoxia
Yang Xu, … , Joel R. Neilson, Gianpietro Dotti
Yang Xu, … , Joel R. Neilson, Gianpietro Dotti
Published July 1, 2016; First published June 13, 2016
Citation Information: J Clin Invest. 2016;126(7):2678-2688. https://doi.org/10.1172/JCI85834.
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Categories: Research Article Immunology

Glycolysis determines dichotomous regulation of T cell subsets in hypoxia

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Abstract

Hypoxia occurs in many pathological conditions, including chronic inflammation and tumors, and is considered to be an inhibitor of T cell function. However, robust T cell responses occur at many hypoxic inflammatory sites, suggesting that functions of some subsets are stimulated under low oxygen conditions. Here, we investigated how hypoxic conditions influence human T cell functions and found that, in contrast to naive and central memory T cells (TN and TCM), hypoxia enhances the proliferation, viability, and cytotoxic action of effector memory T cells (TEM). Enhanced TEM expansion in hypoxia corresponded to high hypoxia-inducible factor 1α (HIF1α) expression and glycolytic activity compared with that observed in TN and TCM. We determined that the glycolytic enzyme GAPDH negatively regulates HIF1A expression by binding to adenylate-uridylate–rich elements in the 3′-UTR region of HIF1A mRNA in glycolytically inactive TN and TCM. Conversely, active glycolysis with decreased GAPDH availability in TEM resulted in elevated HIF1α expression. Furthermore, GAPDH overexpression reduced HIF1α expression and impaired proliferation and survival of T cells in hypoxia, indicating that high glycolytic metabolism drives increases in HIF1α to enhance TEM function during hypoxia. This work demonstrates that glycolytic metabolism regulates the translation of HIF1A to determine T cell responses to hypoxia and implicates GAPDH as a potential mechanism for controlling T cell function in peripheral tissue.

Authors

Yang Xu, Arindam Chaudhury, Ming Zhang, Barbara Savoldo, Leonid S. Metelitsa, John Rodgers, Jason T. Yustein, Joel R. Neilson, Gianpietro Dotti

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Figure 1

Proliferation and survival of human TEXP are enhanced in hypoxia.

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Proliferation and survival of human TEXP are enhanced in hypoxia.
TEXP w...
TEXP were activated with OKT3/a-CD28 Abs in either normoxia (N) or hypoxia (H). (A) Cell counts of TEXP 72 hours after activation. n = 14. ****P < 0.0001, paired Student’s t test. (B) CFSE dilution of CFSE-labeled TEXP 72 hours after activation. (C) Quantitative analysis of the CFSE dilution in B. Proliferation and division indexes were calculated using FlowJo software. n = 10. ****P < 0.0001, paired Student’s t test. (D) Expression of Ki67 in TEXP 72 hours after activation. n = 8. ****P < 0.001, paired Student’s t test. (E) Annexin V and 7-AAD staining of TEXP 72 hours after activation. n = 6. ****P < 0.0001, *P = 0.029 for annexin V+/7-AAD– cell population, and P = 0.015 for annexin V+/7-AAD+ cell population, 2-way ANOVA with Bonferroni’s post-hoc analysis. (F and G) Surface expression of CD95/Fas in TEXP 48 hours after activation. n = 6. **P = 0.0016, paired Student’s t test. (H) Percentage of caspase+ cells in live TEXP 72 hours after activation. Live cells were gated on the basis of forward scatter (FSC) and side scatter (SSC). n = 3. *P = 0.0152, paired Student’s t test. Error bars indicate SD. Max, maximum.
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