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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 June 13, 2016
Citation Information: J Clin Invest. 2016;126(7):2678-2688. https://doi.org/10.1172/JCI85834.
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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 5

TEXP display elevated HIF1α expression and glycolytic activity.

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TEXP display elevated HIF1α expression and glycolytic activity.
(A) HIF1...
(A) HIF1α protein expression in PB-Ts and TEXP that were unstimulated or stimulated with OKT3/a-CD28 Abs in normoxia or hypoxia for 24 hours.. n = 3. Blot images were acquired from samples run on parallel gels. (B and C) Expression of HIF1α target genes LDHA and GLUT1 either as mRNA (B) or protein (C) in PB-Ts and TEXP that were unstimulated (No stim) or stimulated with OKT3/a-CD28 Abs in normoxia or hypoxia for 24 hours. Transcript expression was normalized against the housekeeping control 18S RNA and then standardized to 1.0 in unstimulated PB-Ts. n = 3. *P < 0.05 and ****P < 0.0001, 2-way ANOVA with Bonferroni’s post-hoc analysis. (D) Glucose uptake in PB-Ts and TEXP that were unstimulated or stimulated with OKT3/a-CD28 Abs in hypoxia for 72 hours. n = 3. **P = 0.0021 for unstimulated PB-Ts versus unstimulated TEXP and **P = 0.0024 for stimulated PB-Ts versus stimulated TEXP, 2-way ANOVA with Bonferroni’s post-hoc analysis. (E) Lactate secretion by unstimulated PB-Ts and TEXP in normoxia and hypoxia for 6 hours. n = 3. *P = 0.018 and ***P = 0.0003, 2-way ANOVA with Bonferroni’s post-hoc analysis. (F–H) TEXP were untreated (No Tx) or exposed to 1 mM 2-DG or 50 nM oligomycin (Oligo) after stimulation with OKT3/a-CD28 Abs in normoxia or hypoxia. Cell counts (F) and cell viability (G) were determined 72 hours after activation. n = 13 for untreated and 2-DG, and n = 5 for oligomycin. ****P < 0.0001, 2-way ANOVA with Bonferroni’s post-hoc analysis. (H) CellTrace Violet dilution of labeled TEXP 72 hours after stimulation. n = 6. Error bars indicate SD.

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