Combined near infrared photoacoustic imaging and ultrasound detects vulnerable atherosclerotic plaque

• Published in: Biomaterials Vol. 302; p. 122314
• Main Authors: Schneider, Martin Karl, Wang, James, Kare, Aris, Adkar, Shaunak S., Salmi, Darren, Bell, Caitlin F., Alsaigh, Tom, Wagh, Dhananjay, Coller, John, Mayer, Aaron, Snyder, Sarah J., Borowsky, Alexander D., Long, Steven R., Lansberg, Maarten G., Steinberg, Gary K., Heit, Jeremy J., Leeper, Nicholas J., Ferrara, Katherine W.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Ltd 01.11.2023
• Subjects: Atherosclerosis; Atherosclerosis - diagnostic imaging; Atherosclerosis - pathology; Humans; NIR biomarker; Photoacoustic imaging; Photoacoustic Techniques - methods; Plaque, Atherosclerotic - diagnostic imaging; Plaque, Atherosclerotic - pathology; Proteomics; Spatial transcriptomics; Ultrasonography; Vulnerable plaque; NIR biomarker; Vulnerable plaque; Photoacoustic imaging; Spatial transcriptomics; Atherosclerosis
• ISSN: 0142-9612; 1878-5905; 1878-5905
• DOI: 10.1016/j.biomaterials.2023.122314

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 an ex vivo study 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. [Display omitted]