Endogenous metabolites of vitamin E limit inflammation by targeting 5-lipoxygenase.
Helmut PeinAlexia VilleSimona PaceVeronika TemmlUlrike GarschaMartin RaaschKhaled AlsabilGuillaume ViaultChau-Phi DinhDavid GuiletFabiana TroisiKonstantin NeukirchStefanie KönigRosella BilanciaBirgit WaltenbergerHermann StuppnerMaria WallertStefan LorkowskiChristina WeinigelSilke RummlerMarc BirringerFiorentina RoviezzoLidia SautebinJean-Jacques HelesbeuxDenis SéraphinAlexander S MosigDaniela SchusterAntonietta RossiPascal RichommeOliver WerzAndreas KoeberlePublished in: Nature communications (2018)
Systemic vitamin E metabolites have been proposed as signaling molecules, but their physiological role is unknown. Here we show, by library screening of potential human vitamin E metabolites, that long-chain ω-carboxylates are potent allosteric inhibitors of 5-lipoxygenase, a key enzyme in the biosynthesis of chemoattractant and vasoactive leukotrienes. 13-((2R)-6-hydroxy-2,5,7,8-tetramethylchroman-2-yl)-2,6,10-trimethyltridecanoic acid (α-T-13'-COOH) can be synthesized from α-tocopherol in a human liver-on-chip, and is detected in human and mouse plasma at concentrations (8-49 nM) that inhibit 5-lipoxygenase in human leukocytes. α-T-13'-COOH accumulates in immune cells and inflamed murine exudates, selectively inhibits the biosynthesis of 5-lipoxygenase-derived lipid mediators in vitro and in vivo, and efficiently suppresses inflammation and bronchial hyper-reactivity in mouse models of peritonitis and asthma. Together, our data suggest that the immune regulatory and anti-inflammatory functions of α-tocopherol depend on its endogenous metabolite α-T-13'-COOH, potentially through inhibiting 5-lipoxygenase in immune cells.
Keyphrases
- endothelial cells
- ms ms
- pluripotent stem cells
- anti inflammatory
- oxidative stress
- induced pluripotent stem cells
- signaling pathway
- mouse model
- small molecule
- chronic obstructive pulmonary disease
- transcription factor
- photodynamic therapy
- electronic health record
- risk assessment
- machine learning
- fatty acid
- cystic fibrosis
- air pollution
- human health