Abstract
Objective
(-)-N-[11C]-Propyl-norapomorphine (NPA) is a full dopamine D2/3 receptor agonist radiotracer suitable for imaging D2/3 receptors configured in a state of high affinity for agonists using Positron Emission Tomography (PET). The aim of the present study was to define the optimal analytic method to derive accurate and reliable D2/3 receptor parameters with [11C]NPA.
Methods
Six healthy subjects (4 females/2 males) underwent two [11C]NPA scans in the same day. D2/3 receptor binding parameters were estimated using kinetic analysis (using 1- and 2- tissue compartment models) as well as simplified reference tissue method in the three functional subdivisions of the striatum (associative striatum, AST; limbic striatum LST and sensorimotor striatum SMST). The test-retest variability and intraclass correlation coefficient were assessed for distribution volume (VT), binding potential relative to plasma concentration (BPP), and binding potential relative to nondisplaceable uptake (BPND)
Results
A two-tissue compartment kinetic model adequately described the functional subdivisions of the striatum as well as cerebellum time-activity data. The reproducibility of VT was excellent (≤ 10%) in all regions, for this approach. The reproducibility of both BPP (≤ 12%) and BPND (≤ 10%) was also excellent. The intraclass correlation coefficient of BPP and BPND were acceptable as well (> 0.75) in the three functional subdivisions of the striatum. Although SRTM led to an underestimation of BPND values relative to that estimated by kinetic analysis by 8 to 13%, the values derived using both the methods were reasonably well correlated (r2 = 0.89, n = 84). Both methods were similarly effective at detecting the differences in [11C]NPA BPND between subjects.
Conclusion
The results of this study indicate that [11C]NPA can be used to measure D2/3 receptors configured in a state of high affinity for the agonists with high reliability and reproducibility in the functional subdivisions of the human striatum.
Keywords: PET, dopamine, [11C]NPA, D2/3 agonist
Introduction
Like all G-protein linked receptors, dopamine D2/3 receptors have been hypothesized to exist in two affinity states for agonists: the G-protein coupled high affinity state and the G-protein uncoupled low affinity state. Antagonist radiotracers such as [11C]raclopride which are widely used to measure dopamine D2/3 receptors bind with equal affinity to both the high and low affinity configuration of receptors and therefore do not distinguish between these two receptor affinity states (Roberts et al., 2004). In contrast, several recently introduced synthetic dopamine D2/3 agonist radiotracers such as [11C]NPA, [11C]-methoxy-NPA (MNPA) and [11C]PHNO provide us with the opportunity to selectively measure those D2/3 receptors that are configured in a state of high affinity for the agonist in vivo.
The first of these radiotracers was the C-11 radiolabeled version of the full agonist N- propyl-norapomorphine (NPA), which was found to be suitable for the in vivo PET imaging of the D2/3 receptors in non human primates (Hwang et al., 2000). Detailed characterization of [11C]NPA in baboons revealed that [11C]NPA binds with high affinity to a fraction (70 to 80%) of the sites labeled by [11C]raclopride, suggesting that, in vivo, about 70 to 80% of D2/3 receptors are configured in the high-affinity state for agonists (Narendran et al., 2005). Consistent with this observation, studies in non human primates have also documented that in vivo binding of [11C]NPA is more vulnerable to endogenous competition than that of [11C]raclopride by a factor of 1.42 (Narendran et al., 2004). Finally, in contrast to the D2/3 agonist radiotracer [11C]PHNO which demonstrates a relatively high preference to D3 over D2 receptors in humans (Graff-Guerrero et al., 2008), the in vivo binding profile of [11C]NPA in baboons suggests comparable or slightly enhanced preference to D3 receptors relative to the antagonist [11C]raclopride (Narendran et al., 2006). Given its extensive preclinical characterization and in vivo binding profile suggesting it to be more comparable to [11C]raclopride than [11C]PHNO we were interested in evaluating [11C]NPA in humans as it would allow for the study of in vivo dopamine D2/3 high affinity agonist binding sites when contrasted with [11C]raclopride.
The aim of this human PET study was to define the optimal analytical method for quantification of [11C]NPA and to assess the reproducibility of D2/3 receptor availability in the three functional subdivisions of the striatum as defined in (Martinez et al., 2003).
Methods
General Design
1. [11C]NPA reproducibility studies
Human Subjects
The University of Pittsburgh Institutional Review Board and Radiation Human Use Subcommittee approved the study. In addition, the production and administration of [11C]NPA to human subjects were performed under an Investigational New Drug Application (# 76, 327) submitted to the Food and Drug Administration. Six healthy volunteers participated in this study (age 32 ± 10 years, range 24 to 50, 2 males and 4 females; all non-smokers). The absence of pregnancy, medical, neurological and psychiatric history (including alcohol and drug abuse) was assessed by history, review of systems, physical examination, routine blood tests including pregnancy test, urine toxicology and EKG. All subjects provided written informed consent after receiving an explanation of the study.
Radiochemistry
[11C]NPA was prepared using previously published methods (Hwang et al., 2000). The chemical purity of [11C]NPA was 98.5% ± 2.5% and the radiochemical purity was 95.9% ± 2.5%.
PET protocol
Each subject underwent two scans with [11C]NPA approximately three hours apart on the same day. An arterial catheter was inserted into the radial artery after completion of the Allen test and infiltration of the skin with 1% lidocaine. A venous catheter was inserted in a forearm vein on the opposite side. PET imaging was performed with the ECAT EXACT HR+ consistent with previously described image acquisition protocols (Abi-Dargham et al., 2000). A 10 min transmission scan was obtained prior to radiotracer injection. [11C]NPA was injected i.v. over 45 sec. Emission data were collected in 3D mode for 90 min as 19 successive frames of increasing duration (4 × 15 s, 3 × 1 min, 3 × 2 min, 2 × 5 min, 7 × 10 min). Subjects were allowed to rest outside of the camera for approximately 45 to 60 min between the two injections.
Input function measurement
Following radiotracer injection, arterial samples were collected manually approximately every 6 seconds for the first two minutes and thereafter at longer intervals. A total of 35 samples were obtained per scan. Following centrifugation, plasma was collected in 200 μL aliquots and activities were counted in a gamma counter.
To determine the plasma activity representing unmetabolized parent compound of [11C]NPA, seven samples (collected at 1, 4, 8, 12, 20, 40 and 60 min) were further processed using HPLC methods described previously (Hwang et al., 2004). The six measured parent fractions were fitted using a Hill model (Gunn et al., 1998).
The input function was then calculated as the product of total counts and interpolated parent fraction at each time point. The measured input function values were fitted to a sum of three exponentials from the time of peak plasma activity and the fitted values were used as the input to the kinetic analysis. The clearance of the parent compound (L/h) was calculated as the ratio of the injected dose to the area under the curve of the input function (Abi-Dargham et al., 1994).
For the determination of the plasma free fraction (fP), triplicate aliquots of plasma collected prior to injection were mixed with the radiotracer, pipetted into ultrafiltration units (Amicon Centrifree; Millipore, Bedford, MA) and centrifuged at room temperature (30 min at 6000 rpm). At end of centrifugation, the plasma and ultrafiltrate activities were counted in a gamma counter, and fP was calculated as the ratio of activity in the ultrafiltrate to total activity (Gandelman et al., 1994). Triplicate aliquots of saline solution mixed with the radiotracer were also processed, to determine the filter retention of the free tracer.
MRI acquisition
To provide an anatomical framework for analysis of the PET data, MRI scans were obtained using a 1.5 T GE Medical Systems (Milwaukee, WI) Signa Scanner and a 3D spoiled gradient recalled (SPGR) sequence was acquired in the coronal plane (TE/TR = 5/25, flip angle = 40 degree, NEX = 1, slice thickness = 1.5mm/0mm interslice).
Image analysis
PET data were reconstructed using filtered back-projection (Fourier rebinning/2D backprojection, 3 mm Hann filter) and corrected for photon attenuation (68Ge/68Ga rods), scatter, and radioactive decay. Reconstructed image files were then processed with the image analysis software MEDx (Sensor Systems, Inc., Sterling, Virginia) and SPM2 (www.fil.ion.ucl.ac.uk/spm). Frame-to-frame motion correction for head movement and MR-PET image alignment were performed using the mutual information algorithm implemented in SPM2. The drawing of regions of interest and generation of statistics for time activity curves were implemented in MEDx.
The striatum was divided into five anatomical subdivisions on the MRI using the criteria described in (Martinez et al., 2003). Mean region-of-interest volumes for the six subjects were:
Ventral striatum (VST, 2523 ± 475 mm3)
Precommissural dorsal caudate (Pre-DCA, 3476 ± 693 mm3),
Precommissural dorsal putamen (Pre-DPU, 2547 ± 433 mm3),
Postcommissural caudate (Post CA, 1381 ± 400 mm3) and
Postcommissural putamen (Post PU, 3804 ± 761 mm3).
These anatomical subdivisions were then categorized into three functional subdivisions of the striatum:
the Limbic Striatum (LST), which includes the VST
the associative striatum (AST), which includes the Pre-DCA, Pre-DPU and Post CA and
the sensorimotor striatum (SMST), which includes the Post PU.
The outcome measure for the AST (7404 ± 1210 mm3) was derived as a weighted average of the three anatomical subdivisions that comprised this region, while the outcome measure for the striatum (13731 ± 1812 mm3) was derived as the weighted average of all five regions of interest.
Time activity curves were generated for the regions of interest using the criteria and methods outlined in (Martinez et al., 2003). The cerebellum (33539 ± 6832 mm3) was sub sampled in fifteen consecutive coronal MRI slices caudal to the cerebellar penduncle and used as a reference region. The sub sampling included only the gray matter and excluded the vermis, white matter, and the cerebro-cerebellar fissure.
For bilateral regions, right and left values were averaged. The contribution of plasma total activity to the regional activity was calculated assuming a 5% blood volume in the regions of interest (Mintun et al., 1984) and tissue activities were calculated as the total regional activities minus the plasma contribution.
Quantitative analysis
Outcome measures
The three outcome measures provided are regional tissue distribution volume (VT, mL cm-3), binding potential relative to plasma concentration (BPP, mL cm-3) and binding potential relative to nonspecific uptake (BPND, unitless). The definition of these outcome measures are outlined in (Innis et al., 2007).
Derivation of distribution volumes
Kinetic Analysis
For the kinetic analyses both a two-compartment model (i.e. one tissue compartment, 1TC, 2-parameter model, K1 and k2) and a three-compartment model (i.e. two tissue compartment, 2TC, 4-parameter model, K1 - k4) were used. The 2TC model included the arterial plasma compartment (Cp), the intracerebral free and nonspecifically bound compartment (nondisplaceable compartment, CND), and the specifically bound compartment (CS). The 1TC model included the arterial plasma compartment (CP) and one tissue compartment (CT) which includes both CND and CS. The outcome parameter of interest is VT, which was determined as either VT = K1/ k2 or VT = K1/k2(1+k3/k4) for the 1TC and 2TC models, respectively. The model parameters (ki) were estimated using an established curve fitting technique that utilized the least squares minimization method (Levenberg, 1944) implemented as outlined in (Laruelle et al., 1994).
Model Order and Goodness of Fit
For the 1TC and 2TC, goodness of fit of models with different levels of complexity were compared using the Akaike Information Criterion (AIC, Akaike, 1974), and the F test (Carson, 1986; Landlaw and DiStefano, 1984). The standard error of the parameters was given by the diagonal of the covariance matrix (Carson, 1986) and expressed as a percentage of the parameters (Identifiability, %Ident).
Determination of minimal scanning time
Experimental data were collected for 91 minutes. The minimal scanning time required to achieve time-independent derivation of regional striatal VT was evaluated by fitting the time activity curves to shorter data sets, representing total scanning times of 81, 71, 61, 51 and 41 min, respectively. The resulting estimates of VT were normalized to the VT derived with the 91 minute data set. For each scan duration, the average and standard deviation of the eight normalized VT were calculated. Time independence was considered achieved when two criteria were fulfilled (Huang et al., 2002): 1) the average normalized VT was in between 95% and 105% of the reference VT (small bias), and the 2) the SD of the normalized VT is less than 10% (small error).
Simplified Reference Tissue Method (SRTM)
To test the feasibility of quantification of [11C]NPA BPND without collecting arterial plasma samples, the simplified reference tissue method (SRTM, Lammertsma and Hume, 1996) was implemented. In this approach, the arterial input function is not explicitly measured, but appears implicitly through its effect on a reference region. Because this method uses only brain data and not plasma data, BPND is the only receptor related parameter that can be estimated. The SRTM was implemented using an iterative optimization algorithm based upon the Levenberg-Marquart procedure with fitting weights proportional to frame duration (Frankle et al., 2006).
Evaluation of Methods
Results were evaluated according to two criteria: variability and reliability.
1) Variability. The test/retest variability was calculated as the absolute value of the difference between the test and retest, divided by the mean of the test and retest values.
2) Reliability. To evaluate the within-subject variability relative to the between-subject variability, both within-subject SD (WSSD) and between-subject SD (BSSD) were calculated and expressed as fraction of mean value (WS CV and BS CV). The reliability of the measurements was assessed by the intraclass correlation coefficient (ICC) calculated as (Kirk, 1982):
where BSMSS is the mean sum of square between subjects, WSMSS is the mean sum of square within subjects and n is the number of repeated observations (n = 2 in this study). This statistic estimates the relative contributions of between and within subject variability and assumes values from -1 (i.e. BSMSS = 0) to 1 (identity between test and retest, i.e. WSMSS = 0). Given the relatively small number of subjects, n=6, the ICC may be of limited value in this application and needs to be interpreted with caution.
Statistical analysis
The average of the test and retest values were calculated for each subject (n = 6) and the results given as mean ± SD of these 6 average measurements. This allows for estimation of the variability in the population (i.e. between subject SD). When the SD refers to variability between experiments rather than between subjects, the SD is followed by n = 12. Dependent variables were analyzed using repeated measures ANOVA (RM ANOVA). A two-tailed probability value of 0.05 was selected as the significance level. Relationships between outcome measures derived with different methods were evaluated by linear regressions.
Results
1. Reproducibility studies
Injected dose
The injected activity (9.8 ± 0.7 mCi or 363 ± 26 MBq, n = 12), injected mass (2.7 ± 0.6 μg, n = 12) and specific activity (1197 ± 401 Ci/mmol or 44.2 ± 14.8 MBq/nmol, n = 12) did not differ between the test and retest conditions (RM ANOVA, p = 0.59, 0.89 and 0.66, respectively).
Plasma analysis
After an initial, rapid distribution phase, total plasma activity stabilized at a relatively constant level (Figure 1; Right Panel). The percentage composition of plasma radioactivity over time is shown for [11C]NPA in Figure 1 (Left Panel). At 20 minutes only 13% ± 3% of the total activity corresponded to the parent compound (mean across 6 subjects; Figure 1, Left panel). The average parent plasma clearance rate was 119 ± 36 L h-1. The clearance rate for the test condition was not significantly different from that in the retest condition (117 ± 43 L h-1 vs. 119 ± 37 L h-1, p = 0.87). The test/retest variability for the clearance was 20% ± 14% with an ICC = 0.62. The free fraction of [11C]NPA in the plasma was 11% ± 2% and did not differ between conditions (p = 0.68); test/retest variability was 31% ± 22% with an ICC of 0.16.
Brain analysis
Representative brain time activity curves are shown in Figure 2. Activities in the cerebellum and striatum displayed early peaks (at ~ 3.5 min and ~ 8 min, respectively), followed by a rapid wash out.
Kinetic Analysis
Model order estimation
Both the 1TC and 2TC model reached convergence for every study in all regions (n = 6 subjects* 2 studies * 8 regions = 96 fits) with good identifiability (% Ident ≤ 5%). Representative fits for the 1 TC and 2 TC for the same brain time activity curve are shown in Figure 2. The models were compared for goodness of fit by the F test (Carson, 1986; Landlaw and DiStefano, 1984) and AIC (Akaike, 1974). The F test was significant (p < 0.05) in 61 out of the 96 fits examined, indicating that the higher order model (2TC) provided a better fit for 64% of the data sets. The AIC of the 2TC model was lower than the AIC of the 1TC in 76 of the 96 fits examined (79%), indicating a better fit. In all cases, when the F test indicated a better fit using the higher order model (61 out of 96), this was confirmed by the AIC. In general, the benefits of a 2 TC model were noticed to be highly significant (as indicated by a much lower p value) on both F test and AIC in the reference regions (cerebellum). Based on the model order estimation data the 2 TC was chosen as the model of choice for the kinetic analysis (data is only presented for this model hereafter and is referred to as kinetic analysis).
Table 1 lists the variability and ICC for VT, BPP and BPND for the 2 TC kinetic analyses. The reproducibility and reliability for all three outcome measures VT, BPP and BPND were excellent.
Table 1.
VT (mL cm-3) | BPP (mL cm-3) | BPND | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Subdivision | Region | Mean | (BSSD CV) | (WSSD CV) | VAR + SD | ICC | Mean | (BSSD CV) | (WSSD CV) | VAR + SD | ICC | Mean | (BSSD CV) | (WSSD CV) | VAR + SD | ICC |
Cerebellum | 4.03 | (0.06) | (0.04) | 6% ± 4% | 0.52 | - | - | - | - | - | - | - | - | - | - | |
LST | VST | 7.26 | (0.15) | (0.05) | 7% ± 7% | 0.78 | 3.23 | (0.30) | (0.08) | 9% ± 9% | 0.87 | 0.80 | (0.28) | 0.04 | 5% ± 5% | 0.95 |
AST | 7.35 | (0.14) | (0.04) | 8% ± 3% | 0.83 | 3.32 | (0.28) | (0.06) | 10% ± 3% | 0.92 | 0.82 | (0.26) | 0.03 | 5% ± 4% | 0.97 | |
Pre-DCA | 7.10 | (0.13) | (0.04) | 7% ± 3% | 0.82 | 3.07 | (0.26) | (0.06) | 8% ± 6% | 0.91 | 0.76 | (0.24) | 0.04 | 7% ± 4% | 0.94 | |
Pre-DPU | 8.21 | (0.15) | (0.05) | 9% ± 5% | 0.80 | 4.18 | (0.28) | (0.07) | 12% ± 7% | 0.88 | 1.04 | (0.26) | 0.04 | 8% ± 5% | 0.95 | |
Post-CA | 6.31 | (0.11) | (0.04) | 7% ± 5% | 0.73 | 2.28 | (0.26) | (0.08) | 12% ± 7% | 0.85 | 0.56 | (0.25) | 0.06 | 10% ± 9% | 0.88 | |
SMST | Post-PU | 8.40 | (0.13) | (0.06) | 9% ± 5% | 0.78 | 4.36 | (0.22) | (0.08) | 12% ± 6% | 0.78 | 1.08 | (0.19) | 0.04 | 6% ± 4% | 0.91 |
STR | 7.61 | (0.14) | (0.05) | 8% ± 4% | 0.79 | 3.58 | (0.25) | (0.06) | 10% ± 4% | 0.89 | 0.89 | (0.23) | 0.03 | 4% ± 3% | 0.98 |
Values are the mean of 6 subjects with each value measured twice. BSSD CV = between subject standard deviation coefficient of variation, WSSD CV = within subject standard deviation coefficient of variation, VAR = test/retest variation, ICC = intraclass correlation coefficient.
Determination of minimum scanning time
The maximum scanning time in all regions was 40 min, with the exception of Pre-DCA (50 min) and cerebellum (60 min). The cerebellum VT was the rate limiting region, suggesting that the minimal scanning time for [11C]NPA would need to be 60 min. An evaluation of the reproducibility of all three outcome measures VT, BPP and BPND obtained using the 60 min dataset was not significantly different than that observed with the 90 min dataset. Figure 3 displays the biases and errors associated with shorter scan durations for each radiotracer in the striatum and cerebellum. An analysis of the data with SRTM yielded results that were consistent with the kinetic analysis in that the maximum scanning time in all regions was 40 min, with the exception of Pre-DCA (50 min) and Post-CA (50 min).
Simplified reference tissue method (SRTM) analysis
The results from the SRTM analyses are shown in Table 2 (A voxelwise BPND image generated for [11C]NPA is contrasted with [11C]raclopride in a representative subject in Figure 4). BPND derived by the SRTM was correlated with plasma input based BPND (SRTM v kinetic analysis, y = 0.72x + 0.16; r2 = 0.89, p < 0.0001, n = 84). The BPND values in the striatal regions of interest derived via SRTM were on average 8.6% - 12.8% lower than those derived via the kinetic models. This difference was not statistically significant (RM ANOVA, p = 0.24). Also, in comparison to the kinetic model no differences were observed in the test/retest variability of [11C]NPA BPND as measured with the SRTM method (RM ANOVA, p = 0.62).
Table 2.
Subdivision | Region | Mean | (BSSD CV) | (WSSDCV) | VAR + SD | ICC |
---|---|---|---|---|---|---|
LST | VST | 0.71 | (0.20) | (0.04) | 7% ± 3% | 0.93 |
AST | 0.75 | (0.17) | (0.04) | 6% ± 4% | 0.90 | |
Pre-DCA | 0.69 | (0.15) | (0.05) | 7% ± 7% | 0.79 | |
Pre-DPU | 0.95 | (0.18) | (0.04) | 8% ± 5% | 0.89 | |
Post-CA | 0.50 | (0.22) | (0.06) | 10% ± 7% | 0.85 | |
SMST | Post-PU | 0.99 | (0.10) | (0.03) | 6% ± 1% | 0.81 |
STR | 0.81 | (0.15) | (0.03) | 4% ± 4% | 0.94 |
Values are the mean of 6 subjects with each value measured twice. BSSD CV = between subject standard deviation coefficient of variation, WSSD CV = within subject standard deviation coefficient of variation, VAR = test/retest variation, ICC = intraclass correlation coefficient.
Discussion
In this study, we report the first in human data derived by using the D2/3 agonist radiotracer [11C]NPA to image the functional subdivisions of the striatum. The primary objective of these studies was to define the optimal analytical strategy for derivation of the three outcome measures VT, BPP and BPND for [11C]NPA and evaluate their reproducibility in healthy human subjects. Two kinetic analysis strategies were evaluated based on a specified compartmental configuration that utilizes the arterial time-activity curve as input function. Of the two compartmental models that were evaluated using this dataset for the kinetic analysis, the 2 TC model provided a significantly better fit for the regions of interest and reference region than did the 1 TC model. Thus, the 2 TC model was selected as the method of choice to analyze the data. Using the 2 TC model the reproducibility as measured by the test/retest variability of [11C]NPA VT, BPP and BPND was excellent (≤ 12%) in all regions.
In contrast to previous baboon studies (30% of the parent fraction was observed at 30 min post injection in baboons in Hwang et al., 2004), the percent parent of [11C]NPA in plasma decreased more rapidly in humans (the percent of parent fraction at 30 min post injection was less than 13%). Consistent with this rapid decline in percent parent in plasma, the mean clearance of [11C]NPA in humans (119 ± 36 L h-1) was also significantly faster than that previously observed in baboons (29 ± 1 L h-1). In addition, the plasma free fraction of [11C]NPA in humans was determined to be around 11%, which was about twice as high as that observed in baboons (5%). Nevertheless, the striatal BPND of 0.9 ± 0.2 in humans was more or less in line with what was predicted from the [11C]NPA baboon data (BPND = 1.16 ± 0.18, Hwang et al., 2004) following an adjustment for the 20-30% higher striatal D2/3 Bmax observed in non human primates.
Based on the initial evaluation of [11C]NPA in humans, the following methodological considerations are discussed for future studies:
Signal to noise ratio
The average [11C]NPA BPND (n =6 subjects) in the striatum was 0.9 ± 0.2. While the [11C]NPA BPND values are significantly lower than that observed with the reference D2/3 antagonist radiotracer [11C]raclopride (average striatal BPND 2.6 ± 0.3, Mawlawi et al., 2001), it is nevertheless comparable to the values reported with other successful CNS PET/SPECT radioligands used in clinical studies (Table 3). Thus, the relatively lower BPND value compared to the antagonist [11C]raclopride is unlikely to be a reason for concern in the study of D2/3 agonist binding sites in health and disease. Nevertheless, it is possible that the relatively low binding potential may limit the ability of [11C]NPA as a superior probe to study amphetamine-induced DA release in the humans.
Table 3.
Radioligand | Region of Interest | BPND | Reference |
---|---|---|---|
[123I]IBZM | Striatum | 0.7 ± 0.1 | (Kegeles et al., 1999) |
[11C]cocaine | Striatum | 0.8 ± 0.1 | (Wang et al., 1997) |
[11C]-d-threo-methylphenidate | Striatum | 1.5 ± 0.3 | (Ding et al., 1997) |
[11C]NNC 112 | Prefrontal cortex | 0.8 ± 0.3 | (Abi-Dargham et al., 2000) |
[11C]SCH 23390 | Prefrontal cortex | 0.4 ± 0.1 | (Okubo et al., 1997) |
[18F]altanserin | Cortical ROI | 0.7 to 1.5 | (Smith et al., 1998) |
[11C] McNeil 5652 | Midbrain | 1.2 ± 0.3 | (Frankle et al., 2004) |
Striatum Subdivisions | 0.7 to 1.0 | (Frankle et al., 2004) | |
[11C]NPA | Striatum Subdivisions | 0.8 to 1.1 | This study |
Reproducibility
As shown in Table 1, the test-retest variability of the three functional subdivisions (LST, AST and SMST) of the striatum was ≤ 10% for [11C]NPA BPND. A slightly higher variance of ≤ 12% was observed for [11C]NPA BPP (Table 1). Thus, the reproducibility of [11C]NPA in the functional subdivisions of the striatum is comparable to that reported for [11C]raclopride (BPND ≤ 10% and BPP ≤ 12%) in (Mawlawi et al., 2001). Therefore, a measurement bias due to differences in radiotracer reproducibility is unlikely to be observed in using these radioligands to contrast D2/3 agonist and antagonist binding sites in the functional subdivisions of the striatum in human subjects.
[11C]NPA receptor occupancy
To calculate the in vivo receptor occupancy at the mass doses (< 5 μg) injected in the reproducibility studies we assumed the in vivo KD of [11C]NPA in humans was identical to that in non human primates (0.16 nM) (Narendran et al., 2005). We measured the concentration of [11C]NPA in the cerebellum at the time of peak specific binding (8 ± 3 min), and multiplied this value by fND, to obtain an estimate of the free brain concentration (F) at time of peak specific binding. fND was calculated as fP/VTCER, and was 3% ± 1%. The occupancy was calculated as 100*F/(KD+F) and regressed against the injected mass (see Figure 5). Based on these data, the injected mass of [11C]NPA will necessarily need to be restricted to ≤ 2 μg to ensure the assumption of tracer dose (< 5% receptor occupancy) is not violated. The two to three fold lower injected mass limit in humans (≤ 2 μg) is consistent with the much higher fND observed in humans (3 ± 1%) relative to baboons (1 ± 0.3%) (Narendran et al., 2005). Based on the specific activities of our preliminary studies, a maximum injected radioactivity dose of 6-8 mCi is likely to be accomplished with this ≤ 2 μg mass limit. An injected radioactivity dose range of 6-8 mCi while a bit on the lower end for PET studies, has been shown to be adequate for imaging with other [C-11] PET radioligands such as [11C]raclopride, [11C]WAY and [11C]FLB457 (Boileau et al., 2007; Parsey et al., 2000; Sudo et al., 2001).
Scanning duration
As the VT in the cerebellum and striatal subregions were stable at 60 minutes it is likely that future clinical studies could restrict the [11C]NPA PET data acquisition to this time frame.
SRTM analysis with no arterial blood input
Although the BPND values derived using SRTM were lower they were reasonably well correlated with the values derived using the kinetic analysis. An issue of concern was that the regression of the SRTM BPND to kinetic BPND had a slope less than unity (0.72) and a slightly positive intercept (0.17), which is suggestive of a more pronounced underestimation of BPND values in regions of higher receptor density relative to that in regions of low receptor density. A similar phenomenon has been reported previously for the 5HT1A receptor antagonist radiotracer [11C]WAY 100635 and the implications of the use of reference tissue methods in clinical studies have been discussed extensively in (Parsey et al., 2000). Thus, the use of SRTM as a preferred method for the quantification of [11C]NPA in clinical populations will need to be considered with caution until this issue is further understood in larger data sets.
Preferential binding to D3 receptors
We were interested in evaluating the binding of [11C]NPA in the globus pallidus (GP), a region relatively enriched with D3 receptors as previous studies with another dopamine D2/3 agonist radiotracer [11C]PHNO have demonstrated its preferential binding to D3 relative to D2 receptors in the GP (Narendran et al., 2006). The fractional binding in the D3-enriched GP relative to the D3-devoid dorsal striatum (DST, derived as weighted average of AST and SMST) has been used in previous studies to contrast the preference of [11C]raclopride, [11C]NPA and [11C]PHNO to bind to D3 relative to D2 receptors (Narendran et al., 2006). As three of the six subjects who participated in the [11C]NPA PET studies had also been scanned with [11C]raclopride within the past six months under a different research protocol it allowed for the direct comparison of the binding potential (BPND) of these two radiotracers in the globus pallidus and dorsal striatum. For this particular analysis we subsampled the globus pallidus on the same coronal slices adjacent to the Post PU. The medial and lateral boundary of this region were defined by the posterior limb of the internal capsule and Post PU respectively using criteria outlined in (Ifthikharuddin et al., 2000). The average [11C]raclopride binding in the GP and DST in the n=3 subjects was 1.51 ± 0.14 and 2.59 ± 0.45. The average [11C]NPA binding in the GP and DST in the same three subjects was 0.82 ± 0.06 and 0.87 ± 0.04. Thus, the ratio of the D3-enriched GP to the D3-devoid DST was much higher for [11C]NPA (98%) compared to [11C]raclopride (58%). Despite the fact that the measured fraction of binding in the D3 receptor enriched GP was not as high as that observed with another D2/3 agonist radiotracer [11C]PHNO ([11C]PHNO BPND GP/DST =187%; Narendran et al., 2006) the available data is still suggestive of [11C]NPA having a slightly higher preference for D3 receptors than [11C]raclopride. This observation is consistent with some (Kula et al., 1994; Sautel et al., 1995) but not all (Freedman et al., 1994; Seeman et al., 2005) in vitro data that suggest [11C]NPA has slightly enhanced preference for D3 relative to D2 receptors (see Table 1 in Narendran et al., 2006). Thus, in a clinical study contrasting D2/3 agonist versus D2/3 antagonist binding the difference between [11C]NPA BP and [11C]raclopride BP will be influenced not only by the agonist versus antagonist binding properties but also the D3 versus D2 KD differential. Therefore, the influence of both these two pharmacological variables will need to be accounted for in the interpretation of the data.
Physiological effects/ safety profile of [11C]NPA in humans
To date 23 injections have been performed in 13 subjects with an injected mass of [11C]NPA ≤ 5 μg under a Food and Drug Administration Investigational New Drug Protocol (includes both dosimetry and test-retest studies conducted at the University of Pittsburgh PET Facility). No significant changes in blood pressure, heart rate, EKG, physical/neurological exam were observed (data submitted and reviewed by the Food and Drug Administration as part of the [11C]NPA Investigational New Drug Annual Report). Of particular note was the lack of nausea or vomiting in the [11C]NPA studies. This adverse effect was reported in a third of the subjects receiving another novel D2/3 agonist radiotracer, [11C]PHNO (14 out of 43 injections in twenty subjects, Willeit et al., 2008). It is likely that the relatively rapid brain and plasma clearance, lower free fraction in plasma and less affinity for D3 receptors contribute to the better tolerance (or lack of nausea and vomiting) of [11C]NPA compared to [11C]PHNO.
Conclusion
The results of this study indicate that [11C]NPA can be used to reliably measure D2/3 receptors configured in a state of high affinity for the agonists in humans. Although the [11C]NPA BPND is relatively low compared to the reference D2/3 antagonist [11C]raclopride and another D2/3 agonist [11C]PHNO, it demonstrated an excellent test-retest variability that was comparable to that observed with these other D2/3 imaging agents in humans (Mawlawi et al., 2001; Willeit et al., 2005). Initial in vivo PET studies in humans also suggest that the agonist [11C]NPA may exhibit a slightly higher preference for D3 receptors than the antagonist [11C]raclopride. This is likely to confound the interpretation of contrasting agonist and antagonist binding potential in human studies, especially in striatal regions that are relatively enriched with D3 receptors such as the ventral striatum. Nevertheless, the use of [11C]NPA as a PET radiotracer in humans is likely to inform us of the in vivo status of D2high and D3high receptor states in the functional subdivisions of the striatum in both health and disease.
Acknowledgements
The authors thank members of the PET Facility Staff who carried out the acquisition of PET data and care of all subjects during PET procedures. The authors also acknowledge the editorial assistance provided by Maureen A. May, BS.
This work was supported by an NIMH Career Development Award to Dr. Narendran (1-K08 MH 068762-03) and the University of Pittsburgh Department of Radiology. As this article was supported by US Government funds it is in the public domain in the United States of America.
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