研究目的
To develop and evaluate a novel kappa opioid receptor (KOR) agonist PET radiotracer, 11C-EKAP, with improved pharmacokinetic and imaging profiles compared to 11C-GR103545, for in vivo imaging of KOR in non-human primates.
研究成果
11C-EKAP was successfully developed as a novel KOR agonist PET radiotracer with favorable metabolic, pharmacokinetic, and in vivo binding profiles. It exhibits fast tissue kinetics and high specific binding, making it a promising candidate for human studies to investigate KOR in various disorders.
研究不足
The study was conducted in non-human primates, and further evaluation in humans is warranted. The radiotracer metabolism was rapid, which may complicate quantitative analysis, but metabolites were polar and unlikely to enter the brain. The comparison with 11C-GR103545 showed similar specific binding but faster kinetics, yet the binding parameters were lower for 11C-EKAP in some regions.
1:Experimental Design and Method Selection:
The study involved synthesizing EKAP, radiolabeling it with 11C-CH3OTf, conducting in vitro binding assays, and performing PET imaging in rhesus monkeys to evaluate kinetics, binding specificity, and selectivity using blocking studies with antagonists. Kinetic modeling methods (1TC, 2TC, MA1) were employed for data analysis.
2:Sample Selection and Data Sources:
Rhesus monkeys (Macaca mulatta) were used as subjects. Arterial blood samples were collected for plasma metabolite analysis and input function measurement.
3:List of Experimental Equipment and Materials:
PET scanner (Focus 220, Siemens Medical Solutions), gamma counters (Wizard 1480/2480, Perkin Elmer), HPLC systems (Shimadzu, Varian Prostar), and various chemicals and reagents for synthesis and assays.
4:Experimental Procedures and Operational Workflow:
Synthesis of EKAP and precursors, radiolabeling, PET scans with baseline and blocking conditions (using naloxone, LY2795050, LY2456302), blood sampling, metabolite analysis, image reconstruction, and kinetic modeling of time-activity curves.
5:Data Analysis Methods:
Data were analyzed using one-tissue and two-tissue compartment models, multilinear analysis 1 (MA1) method, simplified reference tissue model (SRTM), and Akaike information criterion (AIC) for goodness-of-fit evaluation.
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