Recent Advancement of Indocyanine Green Based Nanotheranostics for Imaging and Therapy of Coronary Atherosclerosis.
Nidhi VermaAseem SetiaAbhishesh Kumar MehataNandini RandhaveParesh BadgujarAnkit Kumar MalikMadaswamy S MuthuPublished in: Molecular pharmaceutics (2024)
Atherosclerosis is a vascular intima condition in which any part of the circulatory system is affected, including the aorta and coronary arteries. Indocyanine green (ICG), a theranostic compound approved by the FDA, has shown promise in the treatment of coronary atherosclerosis after incorporation into nanoplatforms. By integration of ICG with targeting agents such as peptides or antibodies, it is feasible to increase its concentration in damaged arteries, hence increasing atherosclerosis detection. Nanotheranostics offers cutting-edge techniques for the clinical diagnosis and therapy of atherosclerotic plaques. Combining the optical properties of ICG with those of nanocarriers enables the improved imaging of atherosclerotic plaques and targeted therapeutic interventions. Several ICG-based nanotheranostics platforms have been developed such as polymeric nanoparticles, iron oxide nanoparticles, biomimetic systems, liposomes, peptide-based systems, etc. Theranostics for atherosclerosis diagnosis use magnetic resonance imaging (MRI), computed tomography (CT), near-infrared fluorescence (NIRF) imaging, photoacoustic/ultrasound imaging, positron emission tomography (PET), and single photon emission computed tomography (SPECT) imaging techniques. In addition to imaging, there is growing interest in employing ICG to treat atherosclerosis. In this review, we provide a conceptual explanation of ICG-based nanotheranostics for the imaging and therapy of coronary atherosclerosis. Moreover, advancements in imaging modalities such as MRI, CT, PET, SPECT, and ultrasound/photoacoustic have been discussed. Furthermore, we highlight the applications of ICG for coronary atherosclerosis.
Keyphrases
- computed tomography
- fluorescence imaging
- positron emission tomography
- magnetic resonance imaging
- high resolution
- cardiovascular disease
- contrast enhanced
- coronary artery disease
- coronary artery
- drug delivery
- pet ct
- cancer therapy
- image quality
- heart failure
- deep learning
- stem cells
- machine learning
- mass spectrometry
- transcatheter aortic valve replacement
- big data
- extracorporeal membrane oxygenation
- aortic valve
- artificial intelligence
- cardiovascular risk factors
- left ventricular
- sensitive detection
- diffusion weighted imaging