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Interleukin-33 regulates metabolic reprogramming of the retinal pigment epithelium in response to immune stressors
Louis M. Scott, … , Andrew D. Dick, Sofia Theodoropoulou
Louis M. Scott, … , Andrew D. Dick, Sofia Theodoropoulou
Published April 22, 2021
Citation Information: JCI Insight. 2021;6(8):e129429. https://doi.org/10.1172/jci.insight.129429.
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Research Article Metabolism Ophthalmology

Interleukin-33 regulates metabolic reprogramming of the retinal pigment epithelium in response to immune stressors

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Abstract

It remains unresolved how retinal pigment epithelial cell metabolism is regulated following immune activation to maintain retinal homeostasis and retinal function. We exposed retinal pigment epithelium (RPE) to several stress signals, particularly Toll-like receptor stimulation, and uncovered an ability of RPE to adapt their metabolic preference on aerobic glycolysis or oxidative glucose metabolism in response to different immune stimuli. We have identified interleukin-33 (IL-33) as a key metabolic checkpoint that antagonizes the Warburg effect to ensure the functional stability of the RPE. The identification of IL-33 as a key regulator of mitochondrial metabolism suggests roles for the cytokine that go beyond its extracellular “alarmin” activities. IL-33 exerts control over mitochondrial respiration in RPE by facilitating oxidative pyruvate catabolism. We have also revealed that in the absence of IL-33, mitochondrial function declined and resultant bioenergetic switching was aligned with altered mitochondrial morphology. Our data not only shed new light on the molecular pathway of activation of mitochondrial respiration in RPE in response to immune stressors but also uncover a potentially novel role of nuclear intrinsic IL-33 as a metabolic checkpoint regulator.

Authors

Louis M. Scott, Emma E. Vincent, Natalie Hudson, Chris Neal, Nicholas Jones, Ed C. Lavelle, Matthew Campbell, Andrew P. Halestrap, Andrew D. Dick, Sofia Theodoropoulou

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Figure 1

RPE has a differential metabolic response to varying TLR agonists.

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RPE has a differential metabolic response to varying TLR agonists.
(A) E...
(A) ECAR changes following injection of LPS (1 μg/mL) or poly(I:C) (10 μg/mL) to ARPE-19 (n = 3). (B) OCR following injection of LPS or poly(I:C) to ARPE-19 (n = 3). (C) Relative OCR/ECAR ratio following treatment with LPS (30 minutes) or poly(I:C) (6 hours) to ARPE-19 (n = 3). (D) ARPE-19 treated for 24 hours with LPS or poly(I:C); glucose concentrations are expressed as relative consumption (n = 3). (E) Uniformly labeled C13-glucose incorporation into ARPE-19 metabolites treated for 24 hours with LPS or poly(I:C); relative abundance of C13 and C12 including pyruvate, lactate citrate, and fumarate (n = 3). ATP/ADP ratio (F) and relative ATP levels (G) of ARPE-19 stimulated for 24 hours with either LPS or poly(I:C) (n = 4). (H) Relative levels of malonyl CoA detected in whole cell lysates of ARPE-19 stimulated with either LPS or poly(I:C) for 24 hours (n = 3). (I) Modified mitochondrial stress test including a third injection of etomoxir (3 μg/mL) of ARPE-19 stimulated with either 30 minutes LPS or 6 hours poly(I:C) (n = 3). (J) ARPE-19 treated for 24 hours with LPS or poly(I:C); RNA was extracted and converted to cDNA; RT-PCR was used to determine the relative gene expression of targets involved in glycolysis or the TCA cycle (n = 3). GLUT1, glucose transporter 1; PC, pyruvate carboxylase; PKM2, pyruvate kinase M2. (K) ARPE-19 treated with LPS or poly(I:C) for 24 hours; protein was extracted and immunoblot analysis was used to determine the expression of PKM2, GLUT1, and PC. (L) Quantification of immunoblots presented in K (n = 3). (M) ARPE-19 treated with LPS (1 μg/mL) for 30 minutes or poly(I:C) (10 μg/mL) for 24 hours; protein was extracted and immunoblot analysis was used to determine the phosphorylation of PDH. (N) Quantification of immunoblots presented in M (n = 3). Data are expressed as means ± SD from at least 3 independent experiments. A–C and I represent the biological repeats from 3 independent experiments (n = 3); each biological repeat is the mean of 2 technical repeats (2 seahorse wells per experiment). One-way ANOVA with Dunnett’s multiple comparisons test; *P < 0.05, **P < 0.01, ***P < 0.001.

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