1. Bioengineered magnetoferritin nanozymes for pathological identification of high-risk and ruptured atherosclerotic plaques in humans
- Author
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Kelong Fan, Minmin Liang, Jiuyang He, Peixia Wang, Demin Duan, Tao Wang, Xiyun Yan, and Bing Jiang
- Subjects
Pathology ,medicine.medical_specialty ,business.industry ,Macrophage infiltration ,medicine.medical_treatment ,Vessel occlusion ,Magnetoferritin ,Plaque rupture ,02 engineering and technology ,Carotid endarterectomy ,010402 general chemistry ,021001 nanoscience & nanotechnology ,Condensed Matter Physics ,medicine.disease ,01 natural sciences ,Atomic and Molecular Physics, and Optics ,0104 chemical sciences ,Medicine ,General Materials Science ,Electrical and Electronic Engineering ,Artery diseases ,Thrombus ,0210 nano-technology ,business ,Pathological - Abstract
Atherosclerotic plaque rupture results in thrombus formation and vessel occlusion, and is the leading cause of death worldwide. There is a pressing need to identify plaque vulnerability for the treatment of carotid and coronary artery diseases. Nanomaterials with enzyme-like properties have attracted significant interest by providing biological, diagnostic and prognostic information about the diseases. Here we showed that bioengineered magnetoferritin nanoparticles (M-HFn NPs) functionally mimic peroxidase enzyme and can intrinsically recognize plaque-infiltrated active macrophages, which drive atherosclerotic plaque progression and rupture and are significantly associated with the plaque vulnerability. The M-HFn nanozymes catalyze the oxidation of colorimetric substrates to give a color reaction that visualizes the recognized active macrophages for one-step pathological identification of plaque vulnerability. We examined 50 carotid endarterectomy specimens from patients with symptomatic carotid disease and demonstrated that the M-HFn nanozymes could distinguish active macrophage infiltration in ruptured and high-risk plaque tissues, and M-HFn staining displayed a significant correlation with plaque vulnerability (r = 0.89, P < 0.0001).
- Published
- 2019
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