| Literature DB >> 29061690 |
Neil MacRitchie1,2, Gianluca Grassia1, Jonathan Noonan1,2, Paul Garside1, Duncan Graham3, Pasquale Maffia1,2,4,5.
Abstract
To accurately predict atherosclerotic plaque progression, a detailed phenotype of the lesion at the molecular level is required. Here, we assess the respective merits and limitations of molecular imaging tools. Clinical imaging includes contrast-enhanced ultrasound, an inexpensive and non-toxic technique but with poor sensitivity. CT benefits from high spatial resolution but poor sensitivity coupled with an increasing radiation burden that limits multiplexing. Despite high sensitivity, positron emission tomography and single-photon emission tomography have disadvantages when applied to multiplex molecular imaging due to poor spatial resolution, signal cross talk and increasing radiation dose. In contrast, MRI is non-toxic, displays good spatial resolution but poor sensitivity. Preclinical techniques include near-infrared fluorescence (NIRF), which provides good spatial resolution and sensitivity; however, multiplexing with NIRF is limited, due to photobleaching and spectral overlap. Fourier transform infrared spectroscopy and Raman spectroscopy are label-free techniques that detect molecules based on the vibrations of chemical bonds. Both techniques offer fast acquisition times with Raman showing superior spatial resolution. Raman signals are inherently weak; however, leading to the development of surface-enhanced Raman spectroscopy (SERS) that offers greatly increased sensitivity due to using metallic nanoparticles that can be functionalised with biomolecules targeted against plaque ligands while offering high multiplexing potential. This asset combined with high spatial resolution makes SERS an exciting prospect as a diagnostic tool. The ongoing refinements of SERS technologies such as deep tissue imaging and portable systems making SERS a realistic prospect for translation to the clinic. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.Entities:
Keywords: aortic and arterial disease; cardiac imaging and diagnostics; carotid disease; inflammatory markers; peripheral vascular disease
Mesh:
Year: 2017 PMID: 29061690 PMCID: PMC5861389 DOI: 10.1136/heartjnl-2017-311447
Source DB: PubMed Journal: Heart ISSN: 1355-6037 Impact factor: 5.994
Summary of non-invasive imaging modalities for use in atherosclerosis
| Technique | Resolution | Scan time | Depth | Strengths | Limitations | Clinical use |
| CE-ultrasound | 50 µM | Seconds–minutes | Several cms | Low cost, no radiation, high speed and sequential imaging, amenable to bedside testing | Poor sensitivity and signal-to-noise ratio make molecular imaging challenging, lack of vascular penetration confines information to endothelial surface | Plaque morphology, thrombus and ulceration detection, stenosis severity |
| CT | 50 µM | Minutes | Body-wide | Relatively good spatial resolution | Low sensitivity, radiation exposure, | Plaque size, morphology, gross composition |
| PET/ | 1–5 mm | Minutes | Body-wide | High sensitivity | Poor spatial resolution, radiation exposure, requires CT integration for anatomical analysis/quantification, limited multiplex potential due to signal cross talk and increasing radiation dose | Plaque inflammatory burden |
| MRI | 10 µM–1 mm | Minutes–hours | Body-wide | Good spatial resolution, high soft tissue contrast, low toxicity imaging agents | Poor sensitivity, long imaging times often required, poor signal-to-noise ratio | Plaque inflammatory burden, morphology and stenosis severity |
| NIRF | 1 µM–1 mm | Minutes | Several cms | Good spatial resolution and sensitivity, relatively low cost, no radiation, moderate multiplexing capability | Requires hybrid technologies for higher resolution imaging, photobleaching of fluorophores limits depth to superficial structures, relatively broad emission spectrum limits multiplexing, potential toxicity of imaging agents | None yet |
| FTIR | 5–12 µM | Seconds–minutes | <1 cm | Label-free analysis, fast imaging times, broad classification of tissue morphology | Relatively low spatial resolution compared with Raman. Unable to discriminate closely related molecular structures | None yet |
| Raman | <1 µM | Seconds–minutes | Several mms | Label-free analysis, high spatial resolution, highly detailed classification of tissue morphology | Low sensitivity can prolong imaging times, poor signal-to-noise in some tissues, can require complex chemometric analysis to separate analytes | None yet |
| SERS | <100 nm | Seconds | Several cms | High sensitivity, low toxicity of gold nanoparticles, fast imaging times, no photobleaching, can use a broad spectrum of existing Raman dyes, deep tissue imaging possible with SESORS, strong multiplexing capacity, portable hand-held systems now available | Spectra are sensitive to changes in nanoparticle orientation and interference from adjacent structures, complex statistical algorithms will be required for separation and quantification of multiplexed spectra | None yet |
Research supporting the use of Raman spectroscopy as a molecular imaging tool in atherosclerosis
| Tissue | Evidences | Species |
| Coronary artery |
Gross plaque chemical composition to quantify cholesterol, cholesterol esters, triglycerides and phospholipids and calcium salts |
Human; samples from 16 explanted recipient hearts; Raman analysis on sections |
|
Detection of cholesterol |
Human; intact artery samples | |
|
Quantification of relative proportions of multiple lipid classes including cholesterol, cholesterol esters, phospholipids and triglycerides |
Human; arterial lysates | |
|
Detection and quantification of elastic laminae, collagen fibres, smooth muscle cells, adventitial adipocytes, foam cells, necrotic core, cholesterol crystals, β-carotene containing crystals and calcium mineralisation using an algorithm designed to interpret Raman data |
Human; samples from 16 explanted recipient hearts; Raman analysis on 5μm thick sections | |
|
Relative quantification of cholesterol, collagen and adipocyte content |
Human; fragments from 30 cadavers | |
| Brachiocephalic artery |
Detailed Raman analysis of plaque content including lipids, remodelled media and fibrous cap with a spatial resolution down to 1 µM Observation of distinct protein signatures including haemoporphyrin and elastin |
ApoE and LDLr DKO mice; transversal sections |
| Aorta |
Measurement of endothelial dysfunction |
ApoE and LDLr DKO mice |
|
Detailed Raman analysis of lesions associated with FTIR to characterise plaque contents including multiple lipid classes, endothelial cells, smooth muscle cells, extracellular matrix |
Hypercholesteraemic rabbit; fragments | |
|
Quantitative mapping of chemical components |
ApoE mice; fragments | |
|
Raman-probe spectroscopy to characterize the plaque composition of arterial walls |
Rabbit; in vivo | |
| Carotid artery |
Multimodal spectroscopic approach with the ability to detect vulnerable plaques with a sensitivity of 96%, specificity of 72% and a negative predictive value of 97% |
Human; endarterectomy plus femoral bypass surgery samples (n=12) |
|
Characterisation of peculiar spectral signatures related to biochemicals presented in lesion, eg, collagen and elastin, cholesterol and calcium hydroxyapatite |
Human; fragments postmortem | |
|
Intravascular Raman spectroscopy, using miniaturised fibre-optic probes to collect Raman scattered light from vessel wall |
Lambs and sheep; in vivo | |
|
Real-time in vivo collection of Raman spectra of atherosclerosis using a newly designed optical fibre Raman probe. Demonstration that Raman spectroscopy has capability to identify vulnerable plaque with 79% sensitivity and 85% specificity |
Human |
Figure 1Prospective rational for surface-enhanced Raman spectroscopy (SERS) based-diagnostics for atherosclerotic inflammation. (A) The identification of inflammatory biomarkers in atherosclerotic plaques may be achieved via the intravenous injection of SERS-detectable biofunctionalised nanoparticles into a patient. Such nanoparticles would consist of a noble metal core for surface enhancement of Raman spectra; a Raman reporter to provide a predetermined Raman signature; a polymer coating (such as polyethylene glycol) to reduce nanoparticle interaction with the immune system and prolong blood circulation time; a targeting molecule such as an antibody or aptamer to confer molecular specificity. These nanoparticles would circulate in the vasculature, binding to inflammatory biomarkers such as adhesion molecules, macrophage, T-cell and B-cell activation markers and potentially atherosclerosis-associated biomarkers. Following binding these nanoparticles would then be detectable at significant tissue depths, eg, within the carotid artery, via surface-enhanced spatially offset Raman spectroscopy (SESORS). (B) Following the injection of biofunctionalised nanoparticles and the investigation of atheroprone regions of the vasculature with SESORS, detection of biomarker-specific biofunctionalised nanoparticles would be recorded. Consequently, this would provide clinicians with a technology capable of detecting a panel of biomarkers suitable for subsequent correlation with disease severity and implementation as a potential predictor of disease outcome. A hypothetical example is provided whereby the detection of biofunctionalised nanoparticles indicated the presence of biomarkers A, D and E, and the absence of biomarkers B and C following SESORS investigation of a carotid artery. LDL, low-density lipoprotein.
Figure 2Examples of molecular imaging strategies for atherosclerotic disease. (A) Contrast-enhanced ultrasound (CEUS) molecular imaging using antibody functionalised biotinylated lipid shelled decafluorobutane microbubbles (MBs) in atherosclerotic mice. Comparison of isotype control (left panel) and antivascular cell adhesion molecule 1 (VCAM-1) (right panel) antibody functionalised MBs demonstrates high VCAM-1 expression in the aortic arch. Reprinted from Kaufmann et al 2, http://atvb.ahajournals.org/content/30/1/54.long (B) Spectral CT using high-density lipoproteins (HDL) labelled with gold has been used to image macrophage-rich plaques in apoE-/- mice. Images displayed show conventional (left panel), spectral (middle panel) and overlay (right panel) CT, with enrichment for gold-HDL clear in the thoracic and abdominal aorta. Reprinted from Cormode et al 5, with permission from the Radiological Society of North America. (C) PET-CT imaging showing uptake of 18fluorine functionalised with a VCAM-1 targeting peptide (18F-4V) in the aortic root. Wild-type mice demonstrated low signal, while atherosclerotic apoE-/- mice had significantly higher 18F-4V signal. Reprinted from Nahrendorf et al 9, with permission from Elsevier. (D) Using a fluorescently labelled anti-oxidised low-density lipoprotein (ox-LDL) antibody it was possible to image ox-LDL dense regions in atherosclerotic LDLr-/- mice. No ox-LDL signal was detected from wild-type mice. Reprinted from Khamis et al 50, distributed under a Creative Commons CC-BY license. (E) Magnetic nanoparticles functionalised with a VCAM-1 targeting peptide (VINP-28) were used to image VCAM-1 using MRI. Atherosclerotic apoE-/- mice were imaged pre-VINP-28 and post-VINP-28 injection. A marked signal drop was observed within the aortic root wall 48 hours postinjection. The contrast-to-noise ratio of the aortic wall was increased after the probe injection. Reprinted from Nahrendorf et al 14, http://circ.ahajournals.org/content/114/14/1504.long (F) Micro-single-photon emission tomography (SPECT) (top panels) and micro-SPECT-CT fusion images (bottom panels) for imaging a molecule binding to matrix metalloproteinases labelled with technetium-99m (Tc-MPI) in the rabbit atherosclerotic abdominal aorta, 0 and 4 hours after radiotracer administration. Reprinted from Haider et al 11, distributed under a Creative Commons Attribution Noncommercial License. (G) The fibrous cap of a plaque within a section of human coronary artery, identified by the red arrow (left panel), has been investigated using Fourier transform infrared spectroscopy (FTIR), demonstrating the ability to evaluate the distribution of elastin and collagen I (red/yellow=high; blue=low concentration). Reprinted from Wetzel et al 25, with permission from Elsevier. (H) Raman spectroscopy has been used to discriminate non-atherosclerotic tissue from atherosclerotic tissue, and also infer plaque phenotype, particularly with regard to calcified plaque. Shown here are Raman spectra of coronary arteries obtained ex vivo, highlighting the spectral differences between calcified and non-calcified atherosclerotic plaques in comparison with a non-atherosclerotic artery. Reprinted from Nogueira et al 40. (I) SERS spectroscopy of lipopolysaccharide-challenged ears show Raman peaks in mice with intravenous injections of anti-intercellular adhesion molecule 1 (ICAM-1)-conjugated nanotags (red) but no apparent spectra in mice with intravenous injections of control (IgG2b) nanotags (blue). Reprinted with permission from McQueenie et al 44. Copyright (2012) American Chemical Society.