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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 2

Alternate bioenergetic profiles are regulated by the activity of AMPK.

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Alternate bioenergetic profiles are regulated by the activity of AMPK.
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(A) ARPE-19 were treated with poly(I:C) (10 μg/mL) for 6 hours; protein was extracted and immunoblot analysis was used to determine the phosphorylation of AMPK and ACC. (B) ARPE-19 were treated with LPS (1 μg/mL) for 30 minutes; protein was extracted and immunoblot analysis was used to determine the phosphorylation of AMPK and ACC. (C) Quantification of immunoblots presented in A and B (n = 3). (D) Relative basal OCR and ECAR of ARPE-19 treated for 30 minutes with either AMPK activator AICAR (1 mM) or inhibitor compound C (40 μM) (n = 3). (E) Real-time changes in relative ECAR following injection of LPS (1 μg/mL) to ARPE-19 cells ± AICAR (1 mM) pretreatment for 30 minutes (n = 3). (F) ARPE-19 were treated with poly(I:C) (10 μg/mL) for 6 hours or LPS (1 μg/mL) for 1 hour; protein was extracted and immunoblot analysis was used to determine the activation of mTOR, p-70 s6 kinase, and PI3K. (G) Quantification of immunoblots presented in F (n = 3). (A, B, and F) Data are expressed as means ± SD from 3 independent blots. (D and E) 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). (D) One-way ANOVA with Dunnett’s multiple comparisons test; *P < 0.05. (E) Unpaired Student’s t test; *P < 0.05, **P < 0.01.

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