4-Octyl itaconate as a metabolite derivative inhibits inflammation via alkylation of STING
Ontology highlight
ABSTRACT: The Krebs cycle-derived metabolite itaconate, whose production is catalyzed by immune response gene 1 (IRG1), has excellent potential to link immunity and metabolism in activated macrophages through alkylation or competitive inhibition of target proteins. In support of this, our previous study demonstrated that the stimulator of interferon genes (STING) signaling platform functions as a hub in macrophage immunity and has a profound impact on the prognosis of sepsis. Interestingly, we found that itaconate, an endogenous immunomodulator, can significantly inhibit the activation of STING signaling. Moreover, 4-octyl itaconate (4-OI), which is a permeable itaconate derivative, could alkylate cysteine sites 65, 71, 88, and 147 of STING, thereby inhibiting its phosphorylation and downregulating the production of related inflammatory factors. Furthermore, itaconate and 4-OI inhibited the production of inflammatory factors in sepsis models. Our results have broadened the role of the IRG1-Itaconate axis in immunomodulation and highlighted itaconate and its derivatives as potential therapeutic agents in sepsis.
INSTRUMENT(S): Liquid Chromatography MS - negative - hilic
SUBMITTER: li weizhen
PROVIDER: MTBLS5877 | MetaboLights | 2023-01-15
REPOSITORIES: MetaboLights
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Project description:This a model from the article:
Sequential polarization and imprinting of type 1 T helper lymphocytes by interferon-gamma and interleukin-12.
Schulz EG, Mariani L, Radbruch A, Höfer T.
Immunity.2009;30(5):666-8.
19409816,
Abstract:
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The original model was created by:
Edda G. Schulz
schulz@drfz.de
Theoretical Biophysics, Institute of Biology, Humboldt Universität, Invalidenstrasse 42, 10115 Berlin, Germany.
This model originates from BioModels Database: A Database of Annotated Published Models. It is copyright (c) 2005-2009 The BioModels Team.For more information see the terms of use.To cite BioModels Database, please use Le Novère N., Bornstein B., Broicher A., Courtot M., Donizelli M., Dharuri H., Li L., Sauro H., Schilstra M., Shapiro B., Snoep J.L., Hucka M. (2006) BioModels Database: A Free, Centralized Database of Curated, Published, Quantitative Kinetic Models of Biochemical and Cellular Systems Nucleic Acids Res., 34: D689-D691.
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