Christin Y Sander1,2, Bruce R Rosen1,2, and Joseph B Mandeville1,2
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 2Harvard Medical School, Boston, MA, United States
Synopsis
Drug-receptor interactions are the basis of signal modulation in the
brain, yet, in vivo mechanisms of the action of many drugs are not well understood. In this study, we characterize the in vivo profile of a current third generation antipsychotic drug at the D2/D3 dopamine receptor using simultaneous PET and fMRI. The results are compared to full D2/D3
antagonists and agonists profiles and show that functional differences can be distinguished with occupancy-matched fMRI responses.
Introduction
The binding of a drug or neurotransmitter to a
receptor is the basis of neuronal signal transmission and modulation in the
brain. Neurovascular coupling to receptor occupancy has been shown
to occur for antagonist and agonist drugs specific to the D2/D3 dopamine
receptor system using simultaneous receptor-specific PET and fMRI measurements
[1,2]. In this study, we extend this concept to current third generation antipsychotic
drugs that are classified as partial agonists at the D2/D3 dopamine receptor.
Our goal was to characterize the in vivo
functional response at D2/D3 receptors of partial agonists in the context of
full D2/D3 antagonists and agonists using simultaneous PET/fMRI. Methods
Dynamic
[11C]raclopride PET (specific to D2/D3 dopamine receptors) and fMRI were
acquired in two anesthetized non-human primates (rhesus macaque) on an integrated PET/MR scanner. Three different
doses (0.02, 0.05, 0.1 mg/kg) of the antipsychotic aripiprazole were injected intravenously
as a within-scan challenge at ~35 minutes and/or 70 minutes after radiotracer
injection. Comparisons were made to two full antagonists (prochlorperazine,
raclopride) and two agonists (ropinirole, quinpirole), two of which are
clinically relevant (prochlorperazine, ropinirole), with the others being
preclinical drugs. Gradient-echo EPI (1.3mm isotropic resolution, TR=3s,
TE=23ms) was acquired throughout the dynamic PET acquisition of 100 minutes. Before each scan, iron oxide was injected to improve fMRI contrast
and detection power [3]. fMRI data were analyzed with the GLM and cerebral
blood volume (CBV) changes were derived. PET data were analyzed with a simplified
reference tissue model (SRTM) that included a term for dynamic binding changes
and used the cerebellum as the reference tissue in order to determine receptor
occupancy [4]. A neurovascular coupling model previously introduced [2] was
used to predict functional responses from drugs that exhibit partial agonist
and antagonist properties. Results
The highest doses of all
administered drugs gave the largest D2/D3 receptor occupancy values as measured
by [11C]raclopride PET data and corresponded
to the largest CBV change for each drug in the striatum. Figure 1 shows the
voxelwise CBV maps from the highest dose of aripiprazole in comparison to the
two clinically relevant full agonist and antagonist responses, together with
the simultaneously acquired occupancy measurement. Interestingly, the atypical
antipsychotic aripiprazole showed an overall positive CBV response that was
markedly lower in magnitude, despite higher D2/D3 receptor occupancy, compared
to the full ant-/agonist. The full agonists consistently showed a negative
response and full antagonists a positive CBV response in the striatum. Figure 2
shows a direct comparison of CBV values for each occupancy. D2/D3 occupancy
values for the three doses of aripiprazole were 49%, 74% and 92% in the
putamen. Simultaneously acquired %CBV values were not significant for the lowest
dose of aripiprazole, but showed positive %CBV of 1.2% and 4.5% for the two
higher doses in the putamen. Figure 3 shows time-activity curves for the two doses
of aripiprazole. A double injection of 0.02 mg/kg aripiprazole separated by 35
minutes led to a similar overall occupancy compared to a single injection of
0.05 mg/kg but could be clearly distinguished in kinetic modeling as separate
occupancy curves. Figure 4 shows simulation results from a neurovascular
coupling model that demonstrate how efficacy of drugs affects the CBV response
in relation to a simulated occupancy timecourse and that partial agonists would
be expected to show a diminished magnitude response that can show either
long-lasting positive or short-lived negative changes. Discussion
The atypical antipsychotic that is classified as
a partial agonist in vitro could be characterized as a partial agonist, in
agreement with a neurovascular coupling model. Together with the results from full
agonist and antagonists, this brings together a comprehensive dataset that
shows that the combination of PET/fMRI can be used to classify D2/D3 drugs according
to their in vivo pharmacodynamic
profile. Our in vivo results agree
with classifications from in vitro
studies, but will be especially useful for drugs that are classified as partial
agonists or atypical and may not have a defined functional response in vivo. In addition, the timing and
route of drug administration can play a major role in its functional effects.
Our results also demonstrate advantages and limits simultaneous PET and fMRI datasets
that are dependent on timescales and signal specificity. While we investigated
D2/D3 receptors, the fMRI response from non-specific drugs such as aripiprazole
could also be modulated by other receptors. Further experiments with other
partial agonists or clinical antipsychotics may reveal further insight on in
vivo drug function that may be invaluable for predicting therapeutic effects of
drugs.Acknowledgements
NIH grant support: K99DA043629. This work also involved the use of instrumentation supported by NIH grants P41EB015896,
P30DA28800,
S10RR026666,
S10RR017208,
S10RR022976,
S10RR019933. References
[1] Sander CY, Hooker JM,
Catana C, Normandin MD, Alpert NM, Knudsen GM, et al (2013).
Neurovascular coupling to D2/D3 dopamine receptor occupancy using simultaneous
PET/functional MRI. Proc Natl Acad Sci U S A 110: 11169–74.
[2] Sander CY, Hooker JM,
Catana C, Rosen BR, Mandeville JB (2016). Imaging Agonist-Induced D2/D3
Receptor Desensitization and Internalization In Vivo with PET/fMRI. Neuropsychopharmacology
41: 1427–1436.
[3] Mandeville JB, Marota
JJA, Kosofsky BE, Keltner JR, Weissleder R, Rosen BR, et al (1998).
Dynamic functional imaging of relative cerebral blood volume during rat forepaw
stimulation. Magn Reson Med 39: 615–624.
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SP (1996). Simplified Reference Tissue Model for PET Receptor Studies. Neuroimage
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