Myeloperoxidase activity predicts atherosclerotic plaque disruption and atherothrombosis
Nadel, J.; Wang, X.; Saha, P.; Bongers, A.; Tumanov, S.; Giannotti, N.; Chen, W.; Vidger, N.; Chowdhury, M. M.; Lima da Cruz, G. J.; Velasco, C.; Prieto, C.; Jabbour, A.; Botnar, R. M.; Stocker, R.; Phinikaridou, A.
Show abstract
BackgroundUnstable atherosclerotic plaque is characterized by increased myeloperoxidase (MPO) activity. As unstable plaque is vulnerable to disruption and ensuing thrombosis, we examined whether plaque MPO activity predicts atherothrombosis in a pre-clinical model and correlates with ruptured human atheroma. MethodsTo assess if plaque MPO activity predicts atherothrombosis, rabbits were subjected to aortic endothelial denudation, cholesterol feeding, in vivo magnetic resonance imaging (MRI) of MPO activity using MPO-Gd (gadolinium), followed by pharmacological triggering of atherothrombosis, histology, and MPO activity determined by liquid chromatography tandem mass spectrometry (LC-MSMS) by quantifying the MPO-specific product of hydroethidine, 2-chloroethidium. To correlate plaque MPO activity to ruptured human atheroma, ex vivo determination of MPO activity by MPO-Gd retention in carotid endarterectomy (CEA) specimens was correlated with in vivo MRI plaque phenotyping in patients, histology, and MPO activity determined by LC-MSMS. ResultsIn rabbits, pre-trigger in vivo MPO activity, validated by LC-MSMS and histology, was higher in thrombosis-prone than thrombosis-resistant plaques and lesion-free segments (R1 relaxation rate = 2.2 {+/-} 0.4 versus 1.6 {+/-} 0.2 and 1.5 {+/-} 0.2 s-1, respectively, p<0.0001), and it predicted atherothrombosis. In CEA specimens, MPO-Gd retention was greater in histologic and MRI-graded American Heart Association (AHA) type VI than types III, IV and V plaques ({Delta}R1 relaxation rate from baseline = 48 {+/-} 6 versus 16 {+/-} 7, 17 {+/-} 8 and 23 {+/-} 8%, respectively, p<0.0001). This association was confirmed by comparing AHA grade to MPO activity determined by LC-MSMS (277 {+/-} 338 versus 7 {+/-} 6, 11 {+/-} 12 and 42 {+/-} 39 pmol 2-chloroethidium/mg protein for type VI versus type III-V plaques, respectively, p=0.0008). ConclusionsMPO activity is elevated in thrombosis-prone rabbit and ruptured human atheroma. Non-invasive molecular imaging of MPO activity predicts atherothrombosis, highlighting the potential of arterial MPO activity to detect vulnerable, destabilized atherosclerosis.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- CXCR4-binding PET tracers link monocyte recruitment and endothelial injury in murine atherosclerosis 95%
- Female gene networks are expressed in myofibroblast-like smooth muscle cells in vulnerable atherosclerotic plaques. 93%
- Single-Cell Multimodal Profiling Reveals a Novel CD26+ Fibroblast Subpopulation in Atherosclerosis 93%
Similar papers in this journal
- TWIST1 drives endothelial-to-mesenchymal-transition to stabilize atherosclerotic plaques 91%
- Multi-parametric thrombus profiling microfluidics detects intensified biomechanical thrombogenesis associated with hypertension and aging 91%
- Genome-Wide Associations Of Aortic Distensibility Suggest Causal Relationships With Aortic Aneurysms And Brain White Matter Hyperintensities 90%
Similar papers in this journal
- Multicenter Evaluation of Interpretable AI for Coronary Artery Disease Diagnosis from PET Biomarkers 89%
- Estimating body fat distribution – a driver of cardiometabolic health – from silhouette images 87%
- Cohort Design and Natural Language Processing to Reduce Bias in Electronic Health Records Research: The Community Care Cohort Project 87%
Similar papers in this journal
- Dissecting the Genetic Architecture of Intracranial Aneurysms 91%
- Machine Learning to Understand Genetic and Clinical Factors Associated with the Pulse Waveform Dicrotic Notch 89%
- Coronary Artery Disease Risk of Familial Hypercholesterolemia Genetic Variants Independent of Historical Cholesterol Exposure 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.