Applications of Clinical Dopamine Imaging

Reproducibility of brain dopamine transporter binding with Tc-99m TRODAT-1 SPECT in healthy young men

Single photon emission computed tomography (SPECT) with Tc-99m TRODAT-1 as ligand can be used to evaluate striatal dopamine transporters (DAT) in young subjects. The purpose of this study was to evaluate the reproducibility of (99m)Tc-TRODAT-1 SPECT in DAT binding in healthy young men. Fourteen healthy young men were recruited. The test-retest studies were performed 1week apart. Specific uptake ratios (SUR) of the striatum (ST) and its subregions, the caudate (CA) and the putamen (PU), were measured using the occipital cortex as the reference tissue. The reliability of the two measurements between test and retest, showed significant correlations for the ST, CA and PU, was demonstrated by calculating the intraclass correlation coefficient (ICC). Thus, (99m)Tc-TRODAT-1 SPECT might provide a reproducible and reliable tool in clinical management of young patients with DAT-related disorders.

Directed evolution of a magnetic resonance imaging contrast agent for noninvasive imaging of dopamine

The development of molecular probes that allow in vivo imaging of neural signaling processes with high temporal and spatial resolution remains challenging. Here we applied directed evolution techniques to create magnetic resonance imaging (MRI) contrast agents sensitive to the neurotransmitter dopamine. The sensors were derived from the heme domain of the bacterial cytochrome P450-BM3 (BM3h). Ligand binding to a site near BM3h's paramagnetic heme iron led to a drop in MRI signal enhancement and a shift in optical absorbance. Using an absorbance-based screen, we evolved the specificity of BM3h away from its natural ligand and toward dopamine, producing sensors with dissociation constants for dopamine of 3.3-8.9 microM. These molecules were used to image depolarization-triggered neurotransmitter release from PC12 cells and in the brains of live animals. Our results demonstrate the feasibility of molecular-level functional MRI using neural activity-dependent sensors, and our protein engineering approach can be generalized to create probes for other targets.