Combined near infrared photoacoustic imaging and ultrasound detects vulnerable atherosclerotic plaque.

Combined near infrared photoacoustic imaging and ultrasound detects vulnerable atherosclerotic plaque.
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结合近红外光声成像和超声检测易损动脉粥样硬化斑块。

DOI:
10.1016/j.biomaterials.2023.122314
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发表时间:
2023
期刊:
影响因子:
14
通讯作者:
H
H
中科院分区:
工程技术1区
文献类型:
--
作者:
Schneider,MartinKarl;Wang,James;Kare,Aris;Adkar,ShaunakS;Salmi,Darren;Bell,CaitlinF;Alsaigh,Tom;Wagh,Dhananjay;Coller,John;Mayer,Aaron;Snyder,SarahJ;Borowsky,AlexanderD;Long,StevenR;Lansberg,MaartenG;Steinberg,GaryK;H

文献摘要

相似文献

动脉粥样硬化是一种炎症过程,导致胆固醇和细胞碎片沉积,血管腔狭窄和凝块形成。病变的形态学和易损性的表征对于有效的临床管理是必不可少的。在这里,近红外自动光声(NIRAPA)成像被证明可以检测斑块成分,并且当与超声成像相结合时,可以区分稳定和易损斑块。在对25例患者的切除斑块进行光声成像的体外研究中,使用临床相关协议实现了88.2%的灵敏度和71.4%的特异性。为了确定NIRAPA信号的来源,将免疫组织化学、空间转录组学和空间蛋白质组学与成像共配准,并应用于相邻斑块切片。最高的NIRAPA信号与胆红素和相关的血液残留物以及携带CD 74、HLA-DR、CD 14和CD 163标记物的炎性巨噬细胞的细胞质含量在空间上相关。总之,我们建立了应用NIRAPA-超声成像组合检测颈动脉易损斑块的潜力,以及将分子成像与空间转录组学和蛋白质组学方法融合的方法。
Atherosclerosis is an inflammatory process resulting in the deposition of cholesterol and cellular debris, narrowing of the vessel lumen and clot formation. Characterization of the morphology and vulnerability of the lesion is essential for effective clinical management. Here, near-infrared auto-photoacoustic (NIRAPA) imaging is shown to detect plaque components and, when combined with ultrasound imaging, to differentiate stable and vulnerable plaque. In anex vivostudy of photoacoustic imaging of excised plaque from 25 patients, 88.2% sensitivity and 71.4% specificity were achieved using a clinically-relevant protocol. In order to determine the origin of the NIRAPA signal, immunohistochemistry, spatial transcriptomics and spatial proteomics were co-registered with imaging and applied to adjacent plaque sections. The highest NIRAPA signal was spatially correlated with bilirubin and associated blood-based residue and with the cytoplasmic contents of inflammatory macrophages bearing CD74, HLA-DR, CD14 and CD163 markers. In summary, we establish the potential to apply the NIRAPA-ultrasound imaging combination to detect vulnerable carotid plaque and a methodology for fusing molecular imaging with spatial transcriptomic and proteomic methods.