High-resolution Imaging of Myeloperoxidase Activity Sensors in Human Cerebrovascular Disease.
Youssef Z WadghiriDung Minh HoangAnita LeporatiMatthew J GounisAurora Rodríguez-RodríguezMary L MazzantiJohn P WeaverAjay K WakhlooPeter CaravanAlexei A BogdanovPublished in: Scientific reports (2018)
Progress in clinical development of magnetic resonance imaging (MRI) substrate-sensors of enzymatic activity has been slow partly due to the lack of human efficacy data. We report here a strategy that may serve as a shortcut from bench to bedside. We tested ultra high-resolution 7T MRI (µMRI) of human surgical histology sections in a 3-year IRB approved, HIPAA compliant study of surgically clipped brain aneurysms. µMRI was used for assessing the efficacy of MRI substrate-sensors that detect myeloperoxidase activity in inflammation. The efficacy of Gd-5HT-DOTAGA, a novel myeloperoxidase (MPO) imaging agent synthesized by using a highly stable gadolinium (III) chelate was tested both in tissue-like phantoms and in human samples. After treating histology sections with paramagnetic MPO substrate-sensors we observed relaxation time shortening and MPO activity-dependent MR signal enhancement. An increase of normalized MR signal generated by ultra-short echo time MR sequences was corroborated by MPO activity visualization by using a fluorescent MPO substrate. The results of µMRI of MPO activity associated with aneurysmal pathology and immunohistochemistry demonstrated active involvement of neutrophils and neutrophil NETs as a result of pro-inflammatory signalling in the vascular wall and in the perivascular space of brain aneurysms.
Keyphrases
- contrast enhanced
- magnetic resonance imaging
- high resolution
- diffusion weighted
- endothelial cells
- diffusion weighted imaging
- magnetic resonance
- computed tomography
- induced pluripotent stem cells
- pluripotent stem cells
- mass spectrometry
- oxidative stress
- machine learning
- low cost
- hydrogen peroxide
- amino acid
- blood brain barrier
- data analysis
- big data
- genetic diversity