Plaque, Atherosclerotic
Concentrations of iron, conjugated dienes and lipid hydroperoxides were elevated by about 2- fold in ruptured complicated lesions, as compared to atheromatous lesions (0.433 ± 0.075 vs. 0.185 ± 0.096 nmol Fe/mg tissue; 0.047 ± 0.019 vs. 0.021 ± 0.003 A234 conjugated dienes/mg tissue and 0.465 ± 0.110 vs. 0.248 ± 0.106 nmol LOOH/mg tissue, respectively) and complicated lesions contained 5.6 times more TBARs than atheromatous lesions (0.028 ± 0.012 vs. 0.005 ± 0.001 nmol/mg tissue). PubMed:20378845
This engenders the release of iron, which can promote further the oxidation of plaque lipids through redox cycling reactions. The result of these chemical reactions is the formation of deleterious oxidized ‘gruel’ which, among other things, leads to endothelial oxidative stress and ultimately to cytotoxicity. PubMed:20378845
Hematomas occur in atheromatous lesions and plaque material contains lipid oxidation products including lipid hydroperoxide22 which can mediate not only the oxidation of hemoglobin but might also lyse intact red cells.23 PubMed:20378845
Hematomas occur in atheromatous lesions and plaque material contains lipid oxidation products including lipid hydroperoxide22 which can mediate not only the oxidation of hemoglobin but might also lyse intact red cells.23 PubMed:20378845
Levels of conjugated dienes, lipid hydroperoxides and TBARs were significantly higher in atheromatous lesions compared to controls (supplemental Table I). PubMed:20378845
BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.
If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.