| Literature DB >> 32893320 |
A Glasenapp1, A Hess1, J T Thackeray2.
Abstract
Growth of molecular imaging bears potential to transform nuclear cardiology from a primarily diagnostic method to a precision medicine tool. Molecular targets amenable for imaging and therapeutic intervention are particularly promising to facilitate risk stratification, patient selection and exquisite guidance of novel therapies, and interrogation of systems-based interorgan communication. Non-invasive visualization of pathobiology provides valuable insights into the progression of disease and response to treatment. Specifically, inflammation, fibrosis, and neurohormonal signaling, central to the progression of cardiovascular disease and emerging therapeutic strategies, have been investigated by molecular imaging. As the number of radioligands grows, careful investigation of the binding properties and added-value of imaging should be prioritized to identify high-potential probes and facilitate translation to clinical applications. In this review, we discuss the current state of molecular imaging in cardiovascular medicine, and the challenges and opportunities ahead for cardiovascular molecular imaging to navigate the path from diagnosis to prognosis to personalized medicine.Entities:
Keywords: Cardiovascular disease; Fibrosis; Inflammation; Positron emission tomography; Sympathetic nervous system
Mesh:
Substances:
Year: 2020 PMID: 32893320 PMCID: PMC7749093 DOI: 10.1007/s12350-020-02319-6
Source DB: PubMed Journal: J Nucl Cardiol ISSN: 1071-3581 Impact factor: 5.952
Figure 1Overview of cardiovascular molecular imaging. Pathogenetic processes targeted by current radiopharmaceuticals include inflammatory leukocytes, fibroblasts, and proteases involved in matrix reorganization and sympathetic neuronal signaling. Each pathway is thought to influence the others by means of cytokines or signal transduction cascades
Figure 2Molecular imaging of chemokine receptor CXCR4 after myocardial infarction. Transient upregulation of CXCR4 PET signal (colourscale) in the non-viable infarct zone (FDG, greyscale) at 1 hour and 3 days after coronary artery occlusion declines by 7 days in mice. The PET signal at 3 days predicts left ventricle ejection fraction (LVEF) 6 weeks later. Prepared using data from Hess et al. Eur Heart J 20203
Molecular imaging radioligands for cardiovascular inflammation
| Tracer | Molecular target | Cells | Stage of research |
|---|---|---|---|
| 11C-Methionine | Amino acid uptake | Activated macrophages | Preclinical/clinical |
| 18F-FDG | Glucose transporter 4 | Activated macrophages, cardiomyocytes | Clinical |
| 18F-GE180 | Translocator protein (TSPO) | Activated macrophages, microglia | Clinical |
| 18F-Mannose | Mannose receptor | Reparative macrophages | Preclinical |
| 68Ga-DOTA-ECL1i | Chemokine receptor CCR2 | Pro-inflammatory leukocytes (Ly6Chigh monocytes) | Preclinical |
| 68Ga-DOTATATE | Somatostatin receptor type 2 (SSTR2) | Activated macrophages | Preclinical/clinical |
| 68Ga-Pentixafor | Chemokine receptor CXCR4 | Leukocytes | Preclinical/clinical |
Figure 3Visualization of fibroblast activation after myocardial infarction. Increased fibroblast activation protein (FAP) expression identified by 68Ga-FAPI-04 signal on PET-CT and ex vivo PET-MR in rats. Immunohistology confirmed high FAP expression in infarct border zone by myofibroblasts. Reproduced with permission from Varasteh et al. J Nucl Med. 2019 19
Figure 4Imaging of cardiac sympathetic denervation identifies substrate of arrhythmia. Innervation defect defined by 11C-epinephrine exceeds the perfusion defect and colocalized to site of initiation of ventricular fibrillation on electrophysiology study after myocardial infarction in pigs. Reproduced with permission from Sasano et al. J Am Coll Cardiol. 200821
Challenges and opportunities for cardiovascular molecular imaging
| Challenge | Opportunity |
|---|---|
| Tracer sensitivity | Blocking studies for target specificity |
| Species differences in targets and affinity | |
| Focal vs diffuse target expression | |
| Test–retest reproducibility of signal | |
| Prognostic value | Quantitative tracer signal in disease models |
| Timecourse evaluation of disease-based signal (optimal timepoint) | |
| Outcomes-based data to relate early signal to late function | |
| Therapeutic response | Tracer sensitivity to therapeutic response |
| Timecourse evaluation of therapeutic response | |
| Systems interaction | Whole body analysis |
| Pathway interface | Multi-tracer studies and timecourse evaluation |