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用于可靠活体成像肺炎诱导的易损动脉粥样硬化斑块的比率型半导体聚合物纳米粒子。

Ratiometric Semiconducting Polymer Nanoparticle for Reliable Photoacoustic Imaging of Pneumonia-Induced Vulnerable Atherosclerotic Plaque in Vivo.

机构信息

State Key Laboratory for Chemo/Bio-Sensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China.

Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science MOE Shandong Key Laboratory of Biochemical Analysis, College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, China.

出版信息

Nano Lett. 2021 May 26;21(10):4484-4493. doi: 10.1021/acs.nanolett.1c01359. Epub 2021 May 12.

DOI:10.1021/acs.nanolett.1c01359
PMID:33978427
Abstract

Acute pneumonia can greatly increase the vulnerable risk of atherosclerotic plaque and contribute to the mortality of cardiovascular disease. To accurately assess the rupture risk caused by acute pneumonia, we developed a novel kind of ratiometric semiconducting polymer nanoparticle (RSPN) for photoacoustic imaging of vulnerable plaque in apolipoprotein E-deficient mice complicated with pneumonia. Specifically, RSPN can react with O and exhibit the enhanced photoacoustic signals at about 690 nm, while 800 nm is regarded as an internal photoacoustic reference. As a result, RSPN can provide reliable determination of O within aortic atherosclerosis by analyzing the ratios of photoacoustic signals, which can successfully reflect the oxidative stress level in vulnerable plaque. Therefore, RSPN enable to specifically distinguish plaque-bearing mice and plaque-bearing mice complicated with pneumonia from healthy mice, which provides a promising tool to predict the vulnerability of plaque for reducing the mortality of atherosclerotic-induced cardiovascular disease.

摘要

急性肺炎可极大增加动脉粥样硬化斑块的易损性风险,导致心血管疾病死亡率增加。为了准确评估急性肺炎引起的破裂风险,我们开发了一种新型比率型半导体聚合物纳米粒子(RSPN),用于载脂蛋白 E 缺陷型小鼠合并肺炎时易损斑块的光声成像。具体而言,RSPN 可与 O 反应,并在约 690nm 处表现出增强的光声信号,而 800nm 被视为内部光声参考。因此,通过分析光声信号的比值,RSPN 可提供可靠的主动脉粥样硬化中 O 的确定,从而成功反映易损斑块中的氧化应激水平。因此,RSPN 能够特异性地区分载脂蛋白 E 缺陷型小鼠和载脂蛋白 E 缺陷型合并肺炎小鼠与健康小鼠,为预测斑块的易损性提供了一种有前途的工具,以降低动脉粥样硬化引起的心血管疾病的死亡率。

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