TY - JOUR
T1 - Collagen-Targeting Self-Assembled Nanoprobes for Multimodal Molecular Imaging and Quantification of Myocardial Fibrosis in a Rat Model of Myocardial Infarction
AU - Li, Fang
AU - Chen, Lihua
AU - Zhong, Shigeng
AU - Chen, Jinhua
AU - Cao, Yang
AU - Yu, Han
AU - Ran, Haitao
AU - Yin, Yuehui
AU - Reutelingsperger, Chris
AU - Shu, Shiyu
AU - Ling, Zhiyu
PY - 2024/2/13
Y1 - 2024/2/13
N2 - Currently, inadequate early diagnostic methods hinder the prompt treatment of patients with heart failure and myocardial fibrosis. Magnetic resonance imaging is the gold standard noninvasive diagnostic method; however, its effectiveness is constrained by low resolution and challenges posed by certain patients who cannot undergo the procedure. Although enhanced computed tomography (CT) offers high resolution, challenges arise owing to the unclear differentiation between fibrotic and normal myocardial tissue. Furthermore, although echocardiography is real-time and convenient, it lacks the necessary resolution for detecting fibrotic myocardium, thus limiting its value in fibrosis detection. Inspired by the postinfarction accumulation of collagen types I and III, we developed a collagen-targeted multimodal imaging nanoplatform, CNA35-GP@NPs, comprising lipid nanoparticles (NPs), encapsulating gold nanorods (GNRs) and perfluoropentane (PFP). This platform facilitated ultrasound/photoacoustic/CT imaging of postinfarction cardiac fibrosis in a rat model of myocardial infarction (MI). The surface-modified peptide CNA35 exhibited excellent collagen fiber targeting. The strong near-infrared light absorption and substantial X-ray attenuation of the nanoplatform rendered it suitable for photoacoustic and CT imaging. In the rat model of MI, our study demonstrated that CNA35-GNR/PFP@NPs (CNA35-GP@NPs) achieved photoacoustic, ultrasound, and enhanced CT imaging of the fibrotic myocardium. Notably, the photoacoustic signal intensity positively correlated with the severity of myocardial fibrosis. Thus, this study presents a promising approach for accurately detecting and treating the fibrotic myocardium.
AB - Currently, inadequate early diagnostic methods hinder the prompt treatment of patients with heart failure and myocardial fibrosis. Magnetic resonance imaging is the gold standard noninvasive diagnostic method; however, its effectiveness is constrained by low resolution and challenges posed by certain patients who cannot undergo the procedure. Although enhanced computed tomography (CT) offers high resolution, challenges arise owing to the unclear differentiation between fibrotic and normal myocardial tissue. Furthermore, although echocardiography is real-time and convenient, it lacks the necessary resolution for detecting fibrotic myocardium, thus limiting its value in fibrosis detection. Inspired by the postinfarction accumulation of collagen types I and III, we developed a collagen-targeted multimodal imaging nanoplatform, CNA35-GP@NPs, comprising lipid nanoparticles (NPs), encapsulating gold nanorods (GNRs) and perfluoropentane (PFP). This platform facilitated ultrasound/photoacoustic/CT imaging of postinfarction cardiac fibrosis in a rat model of myocardial infarction (MI). The surface-modified peptide CNA35 exhibited excellent collagen fiber targeting. The strong near-infrared light absorption and substantial X-ray attenuation of the nanoplatform rendered it suitable for photoacoustic and CT imaging. In the rat model of MI, our study demonstrated that CNA35-GNR/PFP@NPs (CNA35-GP@NPs) achieved photoacoustic, ultrasound, and enhanced CT imaging of the fibrotic myocardium. Notably, the photoacoustic signal intensity positively correlated with the severity of myocardial fibrosis. Thus, this study presents a promising approach for accurately detecting and treating the fibrotic myocardium.
KW - myocardial fibrosis
KW - multimodal imaging
KW - CNA35
KW - photoacoustic
KW - ultrasound
KW - CT
KW - EXTRACELLULAR VOLUME FRACTION
U2 - 10.1021/acsnano.3c09801
DO - 10.1021/acsnano.3c09801
M3 - Article
SN - 1936-0851
VL - 18
SP - 4886
EP - 4902
JO - ACS Nano
JF - ACS Nano
IS - 6
ER -