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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 5

Bioenergetic analysis of Il-33–/– primary RPE.

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Bioenergetic analysis of Il-33–/– primary RPE.
(A) Mitochondrial stress ...
(A) Mitochondrial stress test of WT and Il33–/– primary murine RPE; XF injections were oligomycin (1 μM), FCCP (0.5 μM), and rotenone/antimycin A (1 μM) (n = 4). (B) Parameters calculated from A (as detailed in Results) (n = 4). (C) Glycolysis stress test of WT and Il33–/– primary murine RPE; XF injections were glucose (10 mM), oligomycin (1 μM), and 2-deoxyglucose (100 mM) (n = 2). (D) Parameters calculated from C (as detailed in Methods) (n = 2). (E) OCR/ECAR ratio of WT and Il33–/– primary murine RPE (n = 4). (F) Primary murine RPE cells were isolated from mice both WT and Il33–/– mice and treated for 24 hours with rmIL-33; a mitochondrial stress test was used to assess mitochondrial function; XF injections were oligomycin (1 μM), FCCP (0.5 μM), and rotenone/antimycin A (1 μM) (n = 2). (G) Parameters calculated from F (as detailed in Methods) (n = 4). (H) Representative transmission electron microscopy of RPE from WT and Il33–/– mice. Original magnification, ×9300. (A, B, and E) Represent the biological repeats from 4 independent experiments (n = 4); each biological repeat is either the mean of 2 technical repeats or a single technical repeat (1 or 2 seahorse wells per experiment). (C, D, F, and G) Represent the biological repeats from 2 independent experiments (n = 2); each biological repeat is either the mean of 2 technical repeats or a single technical repeat (1 or 2 seahorse wells per experiment). (A, B, and E) Represent data from 8 eyes (4 mice) per group. (C, D, F, and G) Represent data from 4 eyes (2 mice) per group. (A and B) Unpaired Student’s t test; *P < 0.05, **P < 0.01. (F and G) One-way ANOVA with Dunnett’s multiple comparisons test; *P < 0.05.

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