Why the study?
Prompt identification of myocardial fibrosis is critical for preventing malignant events and sudden cardiac death in patients with cardiac disorders.
Do intravenously administered OPN@PFP-DiR nanoparticles enable dual-modality (US and NIR) molecular imaging of myocardial fibrosis in a mouse model of myocardial infarction?
Do intravenously administered OPN@PFP-DiR nanoparticles enable dual-modality (US and NIR) molecular imaging of myocardial fibrosis in a mouse model of myocardial infarction?
OPN-targeted dual-modality nanoparticles provide a promising noninvasive method for real-time molecular imaging of myocardial fibrosis.
Enables dual-modality fibrosis imaging in mice; hypothesis-generating for clinical translation.
Due to the elevated fatality rate of cardiovascular diseases, myocardial fibrosis emerges as a prominent pathological alteration in the majority of heart ailments and their associated pathologies, thereby augmenting the likelihood of sudden cardiac death. Consequently, the prompt and obligatory identification of myocardial fibrosis assumes paramount importance in averting malignant incidents among patients afflicted with cardiac disorders. Herein, with higher expression osteopontin (OPN) found in cardiac fibrosis tissue, we have developed a dual-modality imaging probe, namely OPN targeted nanoparticles (OPN@PFP-DiR NPs), which loaded perfluoropentane (PFP) for ultrasound (US) and 1,1-dioctadecyl-3,3,3,3-tetramethylindotricarbocyanine iodide (DiR) for near-infrared fluorescence (NIR) of molecular imaging, to investigate the molecular features of cardiac fibrosis using US and NIR imaging. Subsequently, the OPN@PFP-DiR NPs were administered intravenously to a mouse model of myocardial infarction (MI). The US and NIR molecular imaging techniques were employed to visualize the accumulation of the nanoparticles in the fibrotic myocardium. Hence, this research presents a valuable noninvasive, cost-effective, and real-time imaging method for evaluating cardiac fibrosis, with promising clinical applications.
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Zhao et al. (2024) studied this question.
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