The steroid hormone estrogen is important for brain functioning and is thought to be involved in brain diseases, such as Alzheimer disease and depression. The action of estrogen is mediated by estrogen receptors (ERs). To understand the role of estrogens in brain functioning, it is important to study ERs in the brain. The aims of the present study were to determine whether ERs could be measured in the rat brain by PET with the ER ligand 16α-18 F-fluoro-17β-estradiol ( 18 F-FES) and to evaluate whether tracer uptake was affected by endogenous estrogen. Methods: Small-animal PET was used to determine 18 F-FES uptake in female rats in the diestrous phase of the estrous cycle, the proestrous phase, and after ovariectomy. Coinjection of 18 F-FES with 17β-estradiol was performed to determine whether tracer binding was specific for ERs. Additionally, 18 F-FES uptake was quantified with kinetic modeling in female rats in the proestrous phase and after ovariectomy and in male rats. Results: The highest levels of uptake of 18 F-FES were found (in descending order) in the pituitary, hypothalamus, bed nucleus of the stria terminalis, and amygdala. Other brain regions showed low levels of brain uptake. The level of 18 F-FES uptake was higher in the pituitary and hypothalamus in rats after ovariectomy than in rats in the proestrous phase. Coinjection with 17β-estradiol resulted in a decrease in 18 F-FES uptake in the pituitary and hypothalamus. The volume of distribution and binding potential determined with kinetic modeling were higher in the pituitary than in the other brain regions in all 3 groups. No differences were found among the groups. Conclusion: 18 F-FES PET imaging of ER availability in the rat brain is feasible for brain regions with high ER densities.
The results of this study indicate that imaging of AR availability in rat brain with [(18)F]FDHT PET is not feasible. The low AR expression in the brain, the rapid metabolism of [(18)F]FDHT in rats and the poor brain penetration of the tracer likely contributed to the poor performance of [(18)F]FDHT PET in this study.
PurposeChemokine receptor 4 (CXCR4) is overexpressed in many cancers and a potential drug target. We have recently developed the tracer N-[11C]methyl-AMD3465 for imaging of CXCR4 expression by positron emission tomography (PET). We investigated the pharmacokinetics of N-[11C]methyl-AMD3465 in rats bearing a C6 tumor and assessed whether the CXCR4 occupancy by the drug Plerixafor® can be measured with this PET tracer.ProcedureA subcutaneous C6 tumor was grown in Wistar rats. Dynamic N-[11C]methyl-AMD3465 PET scans with arterial blood sampling was performed in control rats and rats pretreated with Plerixafor® (30 mg/kg, s.c). The distribution volume (V T) of the tracer was estimated by compartment modeling with a two-tissue reversible compartment model (2TRCM) and by Logan graphical analysis. The non-displaceable binding potential (BPND) was estimated with the 2TRCM. Next, CXCR4 receptor occupancy of different doses of the drug Plerixafor® (0.5–60 mg/kg) was investigated.ResultsThe tumor could be clearly visualized by PET in control animals. Pretreatment with 30 mg/kg Plerixafor® significantly reduced tumor uptake (SUV 0.65 ± 0.08 vs. 0.20 ± 0.01, p < 0.05). N-[11C]Methyl-AMD3465 was slowly metabolized in vivo, with 70 ± 7% of the tracer in plasma still being intact after 60 min. The tracer showed reversible in vivo binding to its receptor. Both 2TRCM modeling and Logan graphical analysis could be used to estimate V T. Pre-treatment with 30 mg/kg Plerixafor® resulted in a significant reduction in V T (2TCRM 0.87 ± 0.10 vs. 0.23 ± 0.12, p < 0.05) and BPND (1.85 ± 0.14 vs. 0.87 ± 0.12, p < 0.01). Receptor occupancy by Plerixafor® was dose-dependent with an in vivo ED50 of 12.7 ± 4.0 mg/kg. Logan analysis gave comparable results.ConclusionN-[11C]Methyl-AMD3465 PET can be used to visualize CXCR4 expression and to calculate receptor occupancy. V T determined by Logan graphical analysis is a suitable parameter to assess CXCR4 receptor occupancy. This approach can easily be translated to humans and used for early drug development and optimization of drug dosing schedules.
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