Abstract
For PET imaging of 18-kDa translocator protein (TSPO), a biomarker of neuroinflammation, most second-generation radioligands are sensitive to the single nucleotide polymorphism rs6971; however, this is probably not the case for the prototypical agent 11C-PK11195 (11C-labeled N-butan-2-yl-1-(2-chlorophenyl)-N-methylisoquinoline-3-carboxamide), which has a relatively lower signal-to-noise ratio. We recently found that 11C-ER176 (11C-(R)-N-sec-butyl-4-(2-chlorophenyl)-N-methylquinazoline-2-carboxamide), a new analog of 11C-(R)-PK11195, showed little sensitivity to rs6971 when tested in vitro and had high specific binding in monkey brain. This study sought, first, to determine whether the sensitivity of 11C-ER176 in humans is similar to the low sensitivity measured in vitro and, second, to measure the nondisplaceable binding potential (BPND, or the ratio of specific-to-nondisplaceable uptake) of 11C-ER176 in human brain. Methods: Nine healthy volunteers—3 high-affinity binders (HABs), 3 mixed-affinity binders (MABs), and 3 low-affinity binders (LABs)—were studied with whole-body 11C-ER176 PET imaging. SUVs from 60 to 120 min after injection derived from each organ were compared between genotypes. Eight separate healthy volunteers—3 HABs, 3 MABs, and 2 LABs—underwent brain PET imaging. The 3 HABs underwent a repeated brain scan after TSPO blockade with XBD173 (N-benzyl-N-ethyl-2-(7-methyl-8-oxo-2-phenylpurin-9-yl)acetamide) to determine nondisplaceable distribution volume (VND) via Lassen occupancy plotting and thereby estimate BPND in brain. Results: Regional SUV averaged from 60 to 120 min after injection in brain and peripheral organs with high TSPO densities such as lung and spleen were greater in HABs than in LABs. On the basis of VND determined via the occupancy plot, the whole-brain BPND for LABs was estimated to be 1.4 ± 0.8, which was much lower than that for HABs (4.2 ± 1.3) but about the same as that for HABs with 11C-PBR28 ([methyl-11C]N-acetyl-N-(2-methoxybenzyl)-2-phenoxy-5-pyridinamine)) (∼1.2). Conclusion: Obvious in vivo sensitivity to rs6971 was observed in 11C-ER176 that had not been expected from in vitro studies, suggesting that the future development of any improved radioligand for TSPO should consider the possibility that in vitro properties will not be reflected in vivo. We also found that 11C-ER176 has adequately high BPND for all rs6971 genotypes. Thus, the new radioligand would likely have greater sensitivity in detecting abnormalities in patients.
The 18-kDa translocator protein (TSPO) is a mitochondrial protein that is highly expressed in phagocytic inflammatory cells, including activated microglia in the brain and macrophages in the periphery (1). As a result, numerous radioligands for PET that target TSPO have been developed to detect and quantify inflammation in the brain (2). The prototypical radioligand 11C-labeled N-butan-2-yl-1-(2-chlorophenyl)-N-methylisoquinoline-3-carboxamide (11C-PK11195) and its more active enantiomer 11C-(R)-PK11195 have been used for in vivo imaging of TSPO for more than 2 decades (3). However, these radioligands have a relatively low signal-to-noise ratio. For example, the ratio of specific to nonspecific binding of 11C-(R)-PK11195 in human brain was reported to be only about 0.2–0.5 (4,5). In contrast, some second-generation radioligands for TSPO, such as [methyl-11C]N-acetyl-N-(2-methoxybenzyl)-2-phenoxy-5-pyridinamine) (11C-PBR28), have a higher in vivo specific signal to TSPO than 11C-(R)-PK11195. Owen et al. reported that the ratio of specific to nondisplaceable binding of 11C-PBR28 in human brain was about 1.2 (6). In exchange for this improved specific signal to TSPO, most second-generation radioligands have varying degrees of sensitivity to the single nucleotide polymorphism rs6971 in the TSPO gene (7–9). This sensitivity has been problematic because some individuals (e.g., low-affinity binders [LABs] for 11C-PBR28) must be excluded from analyses because the brain has too little uptake to quantify; commensurately, the remaining subjects must be corrected for being either high-affinity binders (HABs) or mixed-affinity binders (MABs).
Because brain uptake of the prototypical agent 11C-(R)-PK11195 is insensitive to rs6971 (7), we evaluated analogs of PK11195 that were not sensitive in vitro but also had high specific (i.e., displaceable) binding in monkey brain. Among numerous candidates, 11C-(R)-N-sec-butyl-4-(2-chlorophenyl)-N-methylquinazoline-2-carboxamide (11C-ER176), a new quinazoline analog of 11C-(R)-PK11195, was particularly promising. This ligand showed little in vitro sensitivity to rs6971. That is, its ratio of binding affinity in HABs to that in LABs was only 1.3 to 1 for ER176, whereas the comparable ratio was 55 to 1 for PBR28 (Fig. 1) (9,10). It also performed well as a PET radioligand for TSPO in monkey brain, showing more than 80% specific (i.e., displaceable) binding (10).
Another complicating factor for TSPO radioligands is that genotype sensitivity may vary depending on the organ where it is expressed. For example, we found that 11C-(R)-PK11195 showed no measurable sensitivity in the brain but clear sensitivity in several peripheral organs, including heart, lung, spleen, and kidney (7).
This study sought to determine the in vivo sensitivity of 11C-ER176 in brain and peripheral organs in human subjects. For this purpose, we performed whole-body imaging for 9 subjects (3 subjects from each of the 3 genotypes: HAB, MAB, and LAB). In addition, to evaluate the ability of 11C-ER176 to quantify TSPO density in the human brain, we performed brain imaging for 3 additional HABs at baseline and after blockade with N-benzyl-N-ethyl-2-(7-methyl-8-oxo-2-phenylpurin-9-yl)acetamide (XBD173), an agonist at the TSPO site (6,11), as well as an additional 3 MABs and 2 LABs at baseline; in that experiment, we measured nondisplaceable binding potential (BPND, the ratio of specific to nondisplaceable uptake) for human brain.
MATERIALS AND METHODS
Radiopharmaceutical Preparation
11C-ER176 was prepared as described previously (10,12) with a specific activity of 121 ± 64 GBq/μmol at the time of injection (n = 20 batches) under our Investigational New Drug Application 122,236, which is available at https://kidbdev.med.unc.edu/databases/snidd/.
Subjects
Nine healthy volunteers participated in the whole-body PET scans (1 man and 2 women each with HAB, MAB, and LAB status; mean age ± SD, 30 ± 10 y). Eight separate healthy volunteers with either HAB, MAB, or LAB status participated in the brain PET scans (1 man and 2 women each for HAB and MAB status and 2 men with LAB status; 32 ± 9 y old). TSPO affinity type was determined by in vitro receptor binding to TSPO on leukocyte membranes or genetic analysis as previously described (8,13). The 3 HABs who participated in the brain PET scans received an oral dose of 90 mg of XBD173 as a partial blockade about 1.75 h before the second injection of 11C-ER176 (6).
This study was approved by the Combined Neurosciences Institutional Review Board of the National Institute of Mental Health. All subjects signed an informed consent form.
Measuring 11C-ER176 in Plasma
To determine arterial input function for brain PET scans, blood samples (1.5 mL each) were drawn from the radial artery at 20-s intervals until 200 s, followed by 3- to 6-mL samples at 3.6, 4, 4.5, 6, 8, 10, 15, 20, 30, 40, 50, 60, 75, and 90 min. The concentration of parent radioligand was measured after separating plasma from whole blood, as previously described (14).
Plasma concentration of the parent compound and whole blood activity were fitted to a triexponential function with weighting to minimize the relative distances of the measured values from the fitted values (relative weighting) using PMOD, version 3.6 (PMOD Technologies Ltd.). The parent fraction was fitted to a sigmoid function with relative weighting. The plasma free fraction (fP) was measured by ultrafiltration as previously described (15).
Scan Procedures
For both whole-body and brain scans, 11C-ER176 was intravenously injected over 3 min instead of 1 min because some rodents that received 100-fold the human equivalent dose showed slight and transient ataxia. Whole-body scans were performed on an Advance tomograph (GE Healthcare) as previously described for 11C-PBR28 (16).
Brain scans were performed on a High-Resolution Research Tomograph scanner (CTI) or an Advance tomograph. After a 68Ge transmission scan for attenuation correction, 11C-ER176 was injected followed by a dynamic 3-dimensional emission acquisition for 90 min in 27 frames. PET images were reconstructed with filtered backprojection.
Dosimetry Analysis
Time–activity curves were derived from volumes of interest for each source organ (i.e., brain, heart, lungs, liver, spleen, kidneys, and thyroid) delineated on the whole-body images using PMOD. Residence times were calculated directly using the “Residence Times” model implemented in PMOD. Absorbed radiation doses were calculated by entering the residence times for each source organ into OLINDA/EXM, version 1.1 (17), using the model for a 70-kg adult man.
Brain Image Processing and Kinetic Analysis
Image and kinetic analyses for brain PET images were performed using PMOD. All time frames of dynamic PET images were realigned for motion correction. After coregistering both PET images and the N30R83 template to a sagittal MR image of 1-mm contiguous slices obtained using a 3.0-T Achieva device (Philips Healthcare), the PET data were derived using PMOD from the following volumes of interest based on the coregistered template (18): frontal, occipital, parietal, temporal, medial temporal, and cingulate cortices; thalamus; striatum; putamen; cerebellum; brain stem; cortical gray matter; white matter; and whole brain.
Estimating Binding Values
For whole-body images, the measured radioactivity in each organ was converted to SUV. Regional SUV averaged from 60 to 120 min after injection (SUV60–120 min) was used to measure radioligand uptake in each organ. This period was used because it better reflects receptor binding than the early period, which is strongly affected by blood flow.
For brain images, total volume of distribution (VT), an index of receptor density that equals the ratio at equilibrium of the concentration of radioligand in tissue to that in plasma, was calculated with 1- and unconstrained 2-tissue compartment models (2TCM and 1TCM, respectively) using the radiometabolite-corrected plasma input function as previously described for 11C-PBR28 (8). The concentration of radioligand in tissue represents the sum of specific binding (receptor-bound) and nondisplaceable uptake (nonspecifically bound and free radioligand in tissue water) (19).
To determine the minimal scan length for reliable measurements and also to indirectly assess whether 11C-ER176 radiometabolites enter the brain, the time stability of VT was examined by increasingly truncating the 90-min scan by 10-min increments to the shortest length of 0–50 min.
Estimating Nondisplaceable Distribution Volume (VND)
A modification of the Lassen plot was used to estimate VND of 11C-ER176 in brain in 2 ways: with an occupancy plot using the difference in VT at baseline and after partial blockade with XBD173 in HABs, and with a polymorphism plot using the difference in VT between 2 genetic groups (i.e., between HABs and MABs, between HABs and LABs, and between MABs and LABs) (6,20,21).
Statistical Analysis
Differences in SUV60–120 min for each organ were compared between genotypes by Kruskal–Wallis testing. The optimal compartment model (i.e., 1TCM vs. 2TCM) was chosen on the basis of the Akaike information criterion, model selection criterion, and F test (22). Regression analysis for the Lassen plot was performed using Pearson rank correlation. A P value of less than 0.05 was considered significant. All statistical analyses were performed with SPSS, version 22.0 (SPSS Inc.). Group data are expressed as mean ± SD.
RESULTS
Pharmacologic Effects
No adverse or clinically detectable pharmacologic effects were observed with 11C-ER176 for any of the 17 subjects or in any of the 3 subjects who also received XBD173. Supplemental Table 1 shows the administered doses (supplemental materials are available at http://jnm.snmjournals.org). No significant changes in vital signs or electrocardiograms were observed during the PET scan or in the results of laboratory tests repeated after the scan.
Whole-Body Biodistribution and Dosimetry Estimates
Whole-body imaging clearly showed that the in vivo binding of 11C-ER176 was sensitive to rs6971. Uptake for brain and lung was lower in LABs than in HABs at all time points, with intermediate values for MABs (Fig. 2). SUV60–120 min showed a significant difference between genotypes in heart (P < 0.05). The same tendency was observed in brain, lung, and spleen (Table 1).
The residence time of organs was calculated for the 9 subjects (Supplemental Table 2). The effective dose was 4.1 ± 0.4 μSv/MBq (Supplemental Table 3), which is similar to that of other 11C-labeled radioligands (23).
Kinetic Analysis
Kinetic analysis of brain and plasma data obtained 3 major results. First, brain time–activity curves fitted better with 2TCM than 1TCM. The unconstrained 2TCM fitting converged in brain time–activity curves from all regions, in all scans, and in all genotypes, both at baseline and after blockade with XBD173 in HABs (Fig. 3A). Compared with the 1TCM, the 2TCM showed lower mean Akaike information criterion scores (130 vs. 242) and higher mean model selection criterion scores (6.4 vs. 2.9). An F test also showed that the goodness of fit was significantly better with the 2TCM than with the 1TCM in all 154 fittings over a total of 11 scans, indicating the presence of significant amounts of both specific and nonspecific binding in human brain. The 2TCM identified VT well, with an average SE of 2.4% across brain regions. Regional VT values (mL·cm−3) were consistent with the known distribution of TSPO, showing high levels in the brain stem (4.3) and low levels in the putamen (3.2) at baseline for HABs (Table 2).
With regard to the second result, VT values were stable from 60 to 90 min and were well identified (SE < 10%) in all 3 genotypes with the exception of 1 MAB and in the 3 HABs after blockade, which had low specific binding like that in LABs (Fig. 4), indicating negligible accumulation of radiometabolites regardless of the genotype.
The third major finding was that VT values were higher for HABs than for LABs in all regions of interest, with intermediate values for MABs (Table 2). The whole-brain VT in HABs (3.3 ± 0.9 mL·cm−3) was about 1.2-fold higher than that in MABs (2.9 ± 0.9 mL·cm−3) and about 2.2-fold higher than that in LABs (1.6 ± 0.5 mL·cm−3).
Estimating Specific and Nondisplaceable Binding
We attempted to estimate BPND in 2 ways: by receptor blockade in HABs and by the so-called polymorphism plot, which compares uptake in genetic groups (6,20,21). After receiving XBD173, all 3 HABs showed marked blocking effects, both in brain and in plasma. That is, receptor blockade decreased peak uptake in brain, increased washout, and decreased total uptake over the 90-min scan (Fig. 3A). In plasma, XBD173 significantly increased the concentration of 11C-ER176, consistent with its blocking the distribution of the radioligand to organs of the body (Fig. 3B) (7). The Lassen plot of baseline and blocked scans in individual subjects showed an excellent linear correlation and had a mean VND of 0.65 ± 0.01 mL·cm−3 and receptor occupancy (i.e., slope) of 90% ± 13% (Fig. 5A). Based on the estimated VND (0.65), the BPND for whole brain was 4.2 ± 1.3 in HABs, 3.4 ± 1.4 in MABs, and 1.4 ± 0.8 in LABs. The BPND ratios, which are equivalent to the ratio of specific binding, were 1.2 in HABs/MABs and 3.0 in HABs/LABs.
In addition to blocking the distribution of 11C-ER176 to organs, XBD173 also decreased radioligand binding to plasma proteins, presumably by blocking TSPO in white blood cells. That is, XBD173 increased the fP of 11C-ER176 in all 3 HABs by about 20%, from 3.3% ± 0.7% to 4.1% ± 0.7%. Because only free drug can cross the blood–brain barrier, we corrected the Lassen plot for each individual’s value of fP at baseline and after XBD173. This gave an estimate of 15.5 ± 2.0 mL·cm−3 for a mean VND corrected for fP (VND/fP), with minimal effect on receptor occupancy (92% ± 10%) (Fig. 5B). Compared with the Lassen analysis noted above, correction for fP increased whole-brain BPND for HABs by 31% (5.5 ± 1.1), for MABs by 19% (4.1 ± 1.6), and for LABs by 25% (1.8 ± 0.3). The ratios of BPND after correcting for fP were 1.3 in HABs/MABs and 3.1 in HABs/LABs.
The polymorphism plot, which was the second method of estimating BPND, had a poor linear fit in the comparison between HABs and MABs and therefore provided questionable estimates of VND (Supplemental Fig. 1). The poor fitting was likely caused by the relatively small differences between HABs and MABs, which itself formed the y-axis. For example, the whole-brain VT of MABs was only 16% less than that of HABs (Table 2).
DISCUSSION
Using a sample size of 2 or 3 subjects per genotype, we determined that ER176 is sensitive in vivo to the rs6971 polymorphism. This contrasts with its low sensitivity to rs6971 in vitro, as determined using homogenates of human brain and white blood cells (10), and highlights an additional challenge to the future development of improved radioligands for TSPO, as the in vitro properties used to screen candidates may not be reflected in vivo. The cause of the discrepant genetic sensitivity between in vitro and in vivo conditions is unknown but may involve in vivo protein–protein interactions that are disrupted by tissue homogenization and dilution of postmortem tissue or other in vitro conditions. Such discrepancies between in vitro and in vivo binding are well known for G-protein–coupled receptors, where attachment of the receptor to its G-protein increases the affinity of agonists (24). A similar interaction may occur for TSPO with any of the 3 proteins that combine with TSPO to form the so-called permeability transition pore (25,26). In addition, the higher specific binding of improved radioligands may increase in vivo sensitivity to the genotype, in contrast to the prototypical agent 11C-(R)-PK11195 that has a relatively lower signal-to-noise ratio in brain and may lack the sensitivity needed to detect a genetic effect (4,5,7).
Our receptor blocking study using XBD173 found that 11C-ER176 had adequately high BPND for all genotypes. The whole brain BPND—without correcting for fP—was 4.2 ± 1.3 and 1.4 ± 0.8 for HABs and LABs, respectively; both of these values were higher than that reported for 11C-PBR28 in HABs (∼1.2) (6). Furthermore, VT for 11C-ER176 was well identified by the 2TCM in all genotypes. We also examined time stability under conditions of variable specific binding (i.e., HABs > MABs > LABs > blocked scans for HABs) and found that VT was within 10% of the final value by 60–90 min in all but 1 MAB (Fig. 4). The high BPND and good identifiability in all genotypes, including LABs, suggests that this new radioligand would likely have better sensitivity in detecting abnormalities in patients and that LABs may not need to be excluded as they are for 11C-PBR28.
Both the polymorphism and the Lassen occupancy plots examine the linear relationship between some measure of specific binding (y-axis) and VT (x-axis) for multiple brain regions. For the polymorphism plot, specific binding is the difference in VT between genetic groups; for the Lassen plot, specific binding is the difference between baseline and blocked conditions. For both plots, the linear extrapolation to the x-intercept provides the value of VT in an imaginary region with no specific binding—namely, VND. The polymorphism plot for 11C-ER176 was noisy and provided questionable values for VND (Supplemental Fig.e 1). The noise derived in part from the relatively small difference in whole-brain VT in HABs (3.3 ± 0.9 mL·cm−3) compared with that in MABs (2.9 ± 0.9 mL·cm−3). In contrast, the measure of specific binding for the Lassen plot was quite substantial, as VT was 3.3 ± 0.9 mL·cm−3 at baseline and only 0.9 ± 0.2 mL·cm−3 after blockade.
But why was the VT of MABs only slightly smaller than that of HABs? One possible reason is that TSPO exists mainly as a dimer in vivo, on the basis of its recently reported x-ray crystallographic structure (27). If it were only a monomer, MABs would be expected to have 2 types of TSPO: 50% HAB and 50% LAB. In reality, TSPO may exist in a quite complicated situation with a mixture of monomers, dimers, and higher-mers, implying that TSPO in MABs comprises roughly half heteromers (consisting of both HAB and LAB subunits) and half homomers of HAB or LAB subunits. Our study showed that the in vivo affinity of homozygous LAB subjects was much lower than that of HAB subjects, but we do not know the affinity of the heteromers of HAB and LAB subunits. In fact, the small difference in BPND between HAB and MAB subjects (ratio, 1.2) suggests that most of the heteromers maintain significant affinity for 11C-ER176. For 11C-PBR28, in contrast, the difference between BPND in HABs and MABs was substantial (ratio, 2.5) (6), suggesting that the heteromer has diminished affinity for this radioligand; this, in turn, allowed the polymorphism plot to be less noisy and to reliably estimate VND.
CONCLUSION
Our goal was to develop an improved TSPO radioligand that was insensitive to genotype, thereby allowing the imaging of LABs, but we were only partially successful; specifically, we found that 11C-ER176 is sensitive to rs6971 in vivo but still allows quantitation in LABs. 11C-ER176 provided a high BPND value equivalent to that of 11C-PBR28 in HABs, which was stably identified within 60 min of imaging.
DISCLOSURE
This study was funded by the IRP-NIMH-NIH (projects ZIAMH002852 and ZIAMH002793 under clinical protocols NCT02147392 [14-M-0117] and NCT02181582 [14-M-0141]); by the 2013/2015 Wagner–Torizuka Fellowship of the Society of Nuclear Medicine and Molecular Imaging (to Masamichi Ikawa); and as a public–private partnership supported by the NIMH and the Foundation for the NIH Biomarkers Consortium (www.biomarkersconsortium.org). No other potential conflict of interest relevant to this article was reported.
Acknowledgments
We thank Maria D. Ferraris Araneta, Denise Rallis-Frutos, Emily Page, Holly Giesen, Jeih-San Liow, Robert L. Gladding, Kimberly J. Jenko, Masato Kobayashi, Aneta Kowalski, Emily Fennell, Sanche Mabins, Teresa Jiang, and the staff of the PET Department for assistance in successfully completing the studies, and Ioline Henter for excellent editorial assistance.
Footnotes
↵* Contributed equally to this work.
Published online Nov. 17, 2016.
- © 2017 by the Society of Nuclear Medicine and Molecular Imaging.
REFERENCES
- Received for publication June 7, 2016.
- Accepted for publication August 29, 2016.