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晚期颈动脉粥样硬化的显微光谱光声(μsPA)成像。

Micro Spectroscopic Photoacoustic (μsPA) imaging of advanced carotid atherosclerosis.

作者信息

Iskander-Rizk Sophinese, Visscher Mirjam, Moerman Astrid M, Korteland Suze-Anne, Van der Heiden Kim, Van der Steen Antonius F W, Van Soest Gijs

机构信息

Department of Cardiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands.

出版信息

Photoacoustics. 2021 Mar 18;22:100261. doi: 10.1016/j.pacs.2021.100261. eCollection 2021 Jun.

DOI:10.1016/j.pacs.2021.100261
PMID:33854946
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8027769/
Abstract

Atherosclerosis is a lipid-driven and an inflammatory disease of the artery walls. The composition of atherosclerotic plaque stratifies the risk of a specific plaque to cause a cardiovascular event. In an optical resolution photoacoustic microscopy setup, of 45 μm resolution, we extracted plaque lipid photoacoustic (PA) spectral signatures of human endarterectomy samples in the range of 1150-1240 nm, using matrix assisted laser desorption ionization mass spectrometry imaging as a reference. We found plaque PA signals to correlate best with sphingomyelins and cholesteryl esters. PA signal spectral variations within the plaque area were compared to reference molecular patterns and absorption spectra of lipid laboratory standards. Variability in the lipid spectroscopic features extracted by principal component analysis of all samples revealed three distinct components with peaks at: 1164, 1188, 1196 and 1210 nm. This result will guide the development of PA-based atherosclerosis disease staging capitalizing on lipidomics of atherosclerotic tissue.

摘要

动脉粥样硬化是一种由脂质驱动的动脉壁炎症性疾病。动脉粥样硬化斑块的组成将特定斑块引发心血管事件的风险进行了分层。在分辨率为45μm的光学分辨率光声显微镜装置中,我们以基质辅助激光解吸电离质谱成像作为参考,提取了人类动脉内膜切除样本在1150 - 1240nm范围内的斑块脂质光声(PA)光谱特征。我们发现斑块PA信号与鞘磷脂和胆固醇酯的相关性最佳。将斑块区域内的PA信号光谱变化与脂质实验室标准品的参考分子模式和吸收光谱进行了比较。通过对所有样本进行主成分分析提取的脂质光谱特征的变异性揭示了三个不同的成分,其峰值分别位于:1164、1188、1196和1210nm。这一结果将指导基于光声技术的动脉粥样硬化疾病分期的发展,该分期利用动脉粥样硬化组织的脂质组学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5ab/8027769/18ec575f5d39/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5ab/8027769/a0333e6374f0/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5ab/8027769/df28306a9199/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5ab/8027769/9711b88255b1/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5ab/8027769/8284ac3c0a9b/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5ab/8027769/25b8e40c0063/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5ab/8027769/18ec575f5d39/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5ab/8027769/a0333e6374f0/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5ab/8027769/df28306a9199/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5ab/8027769/9711b88255b1/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5ab/8027769/8284ac3c0a9b/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5ab/8027769/25b8e40c0063/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5ab/8027769/18ec575f5d39/gr6.jpg

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