Combined In Vivo Microdialysis and PET Studies to Validate [ 11 C]Yohimbine Binding as a Marker of Noradrenaline Release.
Anne Marlene LandauSteen JakobsenMajken Borup ThomsenAage Kristian Olsen AlstrupDariusz OrlowskiJan JacobsenGregers WegenerArne MørkJens Christian Hedemann SørensenDoris J DoudetPublished in: Biomolecules (2023)
The noradrenaline system attracts attention for its role in mood disorders and neurodegenerative diseases but the lack of well-validated methods impairs our understanding when assessing its function and release in vivo. This study combines simultaneous positron emission tomography (PET) and microdialysis to explore if [ 11 C]yohimbine, a selective antagonist radioligand of the α2 adrenoceptors, may be used to assess in vivo changes in synaptic noradrenaline during acute pharmacological challenges. Anesthetised Göttingen minipigs were positioned in a head holder in a PET/CT device. Microdialysis probes were placed in the thalamus, striatum and cortex and dialysis samples were collected every 10 min. Three 90 min [ 11 C]yohimbine scans were acquired: at baseline and at two timepoints after the administration of amphetamine (1-10 mg/kg), a non-specific releaser of dopamine and noradrenaline, or nisoxetine (1 mg/kg), a specific noradrenaline transporter inhibitor. [ 11 C]yohimbine volumes of distribution (V T ) were obtained using the Logan kinetic model. Both challenges induced a significant decrease in yohimbine V T , with time courses reflecting their different mechanisms of action. Dialysis samples revealed a significant increase in noradrenaline extracellular concentrations after challenge and an inverse correlation with changes in yohimbine V T . These data suggest that [ 11 C]yohimbine can be used to evaluate acute variations in synaptic noradrenaline concentrations after pharmacological challenges.
Keyphrases
- positron emission tomography
- pet ct
- computed tomography
- liver failure
- drug induced
- chronic kidney disease
- pet imaging
- respiratory failure
- end stage renal disease
- magnetic resonance imaging
- single cell
- big data
- machine learning
- fluorescence imaging
- hepatitis b virus
- depressive symptoms
- intensive care unit
- deep brain stimulation
- dual energy