Abstract
A wide range of buprenorphine doses are used for either pain management or maintenance therapy in opioid addiction. The complex in vitro profile of buprenorphine, with affinity for µ-, δ-, and κ-opioid receptors (OR), makes it difficult to predict its dose-related neuropharmacology in vivo. In rats, microPET imaging and pretreatment by OR antagonists were performed to assess the binding of radiolabeled buprenorphine (microdose 11C-buprenorphine) to OR subtypes in vivo (n = 4 per condition). The µ-selective antagonist naloxonazine (10 mg/kg) and the non-selective OR antagonist naloxone (1 mg/kg) blocked the binding of 11C-buprenorphine, while pretreatment by the δ-selective (naltrindole, 3 mg/kg) or the κ-selective antagonist (norbinaltorphimine, 10 mg/kg) did not. In four macaques, PET imaging and kinetic modeling enabled description of the regional brain kinetics of 11C-buprenorphine, co-injected with increasing doses of unlabeled buprenorphine. No saturation of the brain penetration of buprenorphine was observed for doses up to 0.11 mg/kg. Regional differences in buprenorphine-associated receptor occupancy were observed. Analgesic doses of buprenorphine (0.003 and 0.006 mg/kg), respectively, occupied 20% and 49% of receptors in the thalamus while saturating the low but significant binding observed in cerebellum and occipital cortex. Occupancy >90% was achieved in most brain regions with plasma concentrations >7 µg/L. PET data obtained after co-injection of an analgesic dose of buprenorphine (0.003 mg/kg) predicted the binding potential of microdose 11C-buprenorphine. This strategy could be further combined with pharmacodynamic exploration or pharmacological MRI to investigate the neuropharmacokinetics and neuroreceptor correlate, at least at µ-OR, of the acute effects of buprenorphine in humans.
Subject terms: Pharmacology, Translational research
Introduction
The thebaine derivative buprenorphine is a semi-synthetic opioid of the phenanthrene family [1]. Low-dose buprenorphine offers potent analgesia for the treatment of moderate to severe pain in patients. Compared with other opioids, buprenorphine benefits from a unique safety profile, with limited risk for respiratory depression and overdose. High-dose buprenorphine is therefore approved for addiction maintenance therapy in the management of opioid use disorders with a growing interest in the context of the current opioid crisis [1–3].
In vitro, buprenorphine is one of the most affine ligand of the human µ-opioid receptor (µ-OR, Ki = 0.9 nM) and was compared with other opioid such as naloxone (Ki = 14 nM), morphine (Ki = 74 nM) or oxycodone (Ki = 780 nM) in the same conditions [4, 5]. In vitro, buprenorphine is also far more potent than morphine at stimulating µ-OR, with half-maximal effective concentration (EC50) < 0.1 nM and 130 nM for buprenorphine and morphine, respectively, although buprenorphine shows lower maximum efficacy than morphine in mediating µ-OR coupling [4]. Buprenorphine was therefore classified as a highly potent but partial agonist of µ-OR [1, 6]. Buprenorphine shows a slow dissociation rate from µ-OR, assumed to account for prolonged occupancy and duration of action in vivo [7, 8]. Buprenorphine is also described as antagonist of κ-OR and δ-OR, and agonist of nociceptin/ORL-1 receptors [9, 10]. It is therefore difficult to predict the in vivo dynamics of the interaction of buprenorphine with its CNS targets from this complex in vitro profile.
There are still discrepancies in the description of the neuropharmacology of buprenorphine [9, 11]. In vivo, buprenorphine benefits from limited respiratory effects at high doses [12]. A “ceiling” or “inverted U-shape” analgesic dose-response has been described in animals [13]. However, in patients, buprenorphine shows a dose-dependent analgesic effect similar than that of full agonists [11]. Peripheral pharmacokinetics of buprenorphine is well established in humans [14]. Norbuprenorphine (N-dealkyl-buprenorphine) is the predominant metabolite and shows negligible blood–brain barrier (BBB) penetration compared with buprenorphine [15]. Its relatively short elimination half-life of ~3 h contrasts with its prolonged duration of action [1, 11, 14], suggesting particular brain kinetics.
Pharmacological positron emission tomography (PET) imaging uses target-specific radioligands to capture the target engagement associated with one controlled plasma level of the investigated drug [16]. The µ-OR-selective radioligand 11C-carfentanil [17] was used in healthy volunteers and heroin-dependent patients to estimate the extent and duration of µ-OR occupancy associated with high doses of buprenorphine (2–16 mg, sublingual route) [18–20]. Data regarding receptor occupancy associated with acute administration of analgesic doses of buprenorphine (0.3–0.6 mg) are still lacking. Interestingly, isotopic radiolabeling of buprenorphine is feasible [21]. This provides a unique opportunity for direct determination of the brain kinetics of buprenorphine, at its site of action, a strategy named pharmacokinetic imaging [22]. Moreover, pharmacological doses of buprenorphine, instead of microdose usually encountered in PET studies, can be safely used to mimic the clinical situation in terms of pharmacokinetics and pharmacodynamics.
In the present study, pharmacokinetic imaging using 11C-buprenorphine was performed to explore the neuropharmacology of buprenorphine in vivo. Blocking experiments were performed to address the binding of 11C-buprenorphine to µ-, δ- and κ-OR in rats. 11C-buprenorphine PET imaging was then performed in macaques to assess the regional neuropharmacokinetics and receptor occupancy of buprenorphine associated with a wide range of buprenorphine doses, which covers its clinical use in both analgesia and addiction maintenance.
Material and methods
Chemicals
Buprenorphine hydrochloride for intravenous (i.v.) injection (0.3 mg/mL) was obtained from Axience (Pantin, France). Naloxone hydrochloride for i.v. injection (0.4 mg/mL) was obtained from Aguettant (Lyon, France). Naloxonazine and norbinaltorphimine were obtained from Sigma-Aldrich (Saint-Quentin Fallavier, France) and naltrindole from Tocris (Noyal-Chatillon sur Sèiche, France). Ketamine was obtained from Virbac (Carros, France). Propofol was purchased from Fresenius laboratory (Sèvres, France). Isoflurane was obtained from Abbvie (Rungis, France). 11C-Buprenorphine was synthesized in-house according to the method described by Lever et al. [21] with slight modifications (see Supplementary material).
Animals
All animal use procedures were in accordance with the recommendations of the European Community for the care and use of laboratory animals (2010/63/UE) and the French National Committees (French Decret 2013–118). Experimental protocols were validated by a local ethics committee for animal use (CETEA/A15–002 and A18–065) and approved by the French Government. Rodent experiments were conducted in male Sprague–Dawley rats (224 ± 43 g). Each rat underwent a single PET experiment. Four adult male rhesus macaques (Macaca Mulatta; 8.4 ± 3.4 kg in weight during the study) were obtained from Silabe (Simian Laboratory Europe, France). A minimum interval of 2 weeks was respected between two scans in the same individual.
Binding of 11C-buprenorphine to OR subtypes in rats
MicroPET imaging
11C-buprenorphine brain PET acquisitions were performed using an Inveon microPET scanner (Siemens Medical Solutions, France). Anesthesia was induced and thereafter maintained using 3% and 1.5–2.5% isoflurane in O2, respectively. A catheter was inserted in a lateral caudal vein for i.v. injection of tested OR antagonists when necessary. Microdose 11C-buprenorphine (34 ± 7 MBq, 3 ± 2 µg, mean molar activity at time of injection MAinj = 8.2 ± 4.4 GBq.µmol−1) was then injected in the same catheter.
Pharmacological challenges
Blocking experiments were performed to investigate the binding of 11C-buprenorphine to different OR subtypes in the living brain (n = 4 per condition). PET acquisitions were performed without or after previously reported blocking conditions using the non-selective OR antagonist naloxone (1 mg/kg i.v., 5 min before 11C-buprenorphine injection) [23], the selective µ-OR antagonist naloxonazine (10 mg/kg i.v., 5 min before 11C-buprenorphine injection) [24], the selective κ-OR antagonist norbinaltorphimine (10 mg/kg intraperitoneal injection, 30 min before 11C-buprenorphine injection) [25], and the selective δ-OR antagonist naltrindole (3 mg/kg i.v., 5 min before 11C-buprenorphine injection) [26].
Data analysis
MicroPET images were reconstructed as previously described [27]. Late brain PET images acquired 40–60 min after 11C-buprenorphine injection were coregistered to the Schiffer rat brain template using PMOD software V3.9 (PMOD Technologies, Zürich, Switzerland). Cerebellum was shown devoid of µ- and δ-OR with limited expression of κ-OR in rats [28]. Regional uptake ratios (region/cerebellum) were calculated in baseline and blocking conditions to take any change in peripheral pharmacokinetics of 11C-buprenorphine into account.
Target engagement of buprenorphine in macaques
Co-injection study
Further PET experiments were performed in macaques to allow for accurate arterial blood sampling during PET acquisition. First, microdose 11C-buprenorphine was i.v. injected, followed by a 90-min brain PET acquisition. Then, the dose-dependent receptor occupancy associated with therapeutic doses was addressed using a co-injection strategy. Increasing doses of unlabeled buprenorphine (0, 0.003, 0.006, 0.03, 0.06, and 0.011 mg/kg, equivalent to human doses ranging from 0 to 8 mg/70 kg, n = 4 per dose) were mixed in the syringe containing microdose 11C-buprenorphine (8.34 ± 3.85 µg). The preparation was i.v. injected at the start of dynamic PET acquisition (90 min).
Acquisition procedure
First, each monkey underwent an anatomical T1-weighted brain MR scan using an Achieva 1.5T scanner (Philips Healthcare, Suresnes, France) under ketamine anesthesia (intramuscular injection, i.m.). PET acquisitions were performed on a HR+ Tomograph (Siemens Healthcare, Knoxville, TN, USA) in anesthetized macaques as previously described [29]. Briefly, the macaque received ketamine (10 mg/kg, i.m.) to induce anesthesia. After intubation in supine position, venous catheters were inserted for radiotracer injection (sural vein), propofol infusion (sural vein), and drug injection for the displacement experiments (brachial vein). Another catheter was inserted into the femoral artery for arterial blood sampling. Macaques were positioned under the camera before administration of a 2 mL i.v. bolus of propofol followed by a 1 mL/kg/h i.v. infusion under oxygen ventilation. Macaques were i.v. injected with microdose 11C-buprenorphine (241 ± 42 MBq, MAinj = 13.5 ± 5.1 GBq/µmol). Increasing doses of unlabeled buprenorphine were added to 11C-buprenorphine microdose for the co-injection study. Physiological monitoring, including heart rate, oxygen saturation, respiratory rate, and end-tidal CO2, was performed throughout the duration of the PET scan.
Imaging data reconstruction and segmentation
A post-reconstruction method was performed on dynamic PET image for noise reduction and improved spatial resolution (see Supplementary material) [30, 31]. PET data were then analyzed using PMOD software. PET images were coregistered to corresponding T1-weigted MR images for each macaque. A macaque T1-weighted MR template [32] was normalized onto individual MR images. Transformation matrices were then applied to the segmentation obtained from the template to generate time-activity curves in 12 selected brain structures.
Arterial input function and metabolism
During PET acquisition, arterial blood samples (500 µL) were withdrawn at selected times after radiotracer injection. Samples were centrifuged (5 min; 2,054 g; 4 °C) and the supernatant (200 µL) was gamma-counted for total plasma radioactivity. Additional plasma samples were withdrawn at 0, 5, 10, 15, 30, 60, and 90 min to measure both (i) the percentage of parent (unmetabolized) 11C-buprenorphine using radio-HPLC and a state-of-the-art methodology [33] and (ii) the total concentration of buprenorphine in plasma using mass spectrometry, after radioactive decay. The fraction of parent 11C-buprenorphine in each sample was used to generate the metabolite-corrected arterial input function for pharmacokinetic modeling of each PET experiment (see Supplementary material and Supplementary Fig. S1).
Pharmacokinetic modeling
Kinetics of radioactivity in the brain and in plasma samples were decay-corrected and expressed as the percentage of injected dose of radioactivity per volume (%ID.cm−3). Kinetic modeling was performed considering the metabolite-corrected arterial input function. The initial transfer rate of 11C-buprenorphine from plasma into the brain (K1) was estimated using the graphical plot analysis, as previously described [27] (see Supplementary material and Supplementary Fig. S2). The brain distribution of 11C-buprenorphine (VT; mL.cm−3) was estimated using the Logan plot graphical method [34]. Parametric images (VT unit) were generated using PMOD to display the regional brain distribution of 11C-buprenorphine in tested conditions (Fig. 2).
Brain data obtained with 11C-buprenorphine co-injected with the maximal dose of unlabeled buprenorphine (0.11 mg/kg) were used to estimate the non-specific binding of 11C-buprenorphine (saturation scan) and define the non-displaceable volume of distribution (VND,saturation) in each region for each animal. Regional VND,saturation were compared with graphically estimated VND,graphical (Table 1, Supplementary material, and Supplementary Fig. S3). For each scan, the specific binding of 11C-buprenorphine in each brain region was estimated as the binding potential relative to plasma (BPp) [35] with:
Table 1.
Brain region | VND,saturation (=VT,0.11 mg/kg) | VND,graphical | BPp,microdose | DVRmicrodose | DVR0.003 mg/kg | Estimated receptor occupancy (%) associated with plasma levels of buprenorphine | EC50 (µg/L) | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
0.3 µg/L | 0.6 µg/L | 1 µg/L | 3 µg/L | 6 µg/L | 9 µg/L | |||||||
Frontal cortex | 3.62 ± 0.68 | 3.44 ± 1.70 | 4.80 ± 0.75 | 1.40 ± 0.19 | 1.47 ± 0.11 | 33.2 | 49.7 | 62.1 | 82.7 | 90.2 | 93.1 | 0.60 (0.07–1.12) |
Orbital cortex | 3.56 ± 0.78 | 3.42 ± 1.33 | 4.01 ± 0.66 | 1.22 ± 0.15 | 1.39 ± 0.09 | 27.4 | 43.1 | 55.8 | 79.1 | 88.3 | 91.9 | 0.79 (0.30–1.30) |
Cingulate cortex | 3.77 ± 0.70 | 3.60 ± 1.78 | 5.48 ± 1.03 | 1.50 ± 0.28 | 1.67 ± 0.19 | 29.4 | 45.5 | 58.1 | 80.6 | 89.3 | 92.6 | 0.72 (0.33–1.11) |
Temporal cortex | 3.67 ± 0.75 | 3.46 ± 2.13 | 3.88 ± 0.83 | 1.26 ± 0.15 | 1.41 ± 0.05 | 31.0 | 47.4 | 60.0 | 81.8 | 90 | 93.1 | 0.67 (0.18–1.15) |
Parietal cortex | 3.57 ± 0.63 | 3.41 ± 1.80 | 4.48 ± 1.05 | 1.37 ± 0.13 | 1.40 ± 0.10 | 34.3 | 51.1 | 63.5 | 83.9 | 91.3 | 94 | 0.58 (0.20–0.95) |
Occipital cortex | 2.93 ± 0.62 | 2.84 ± 2.29 | 2.42 ± 1.05 | NA | NA | a | a | a | a | a | a | a |
Caudate | 4.11 ± 0.56 | 3.91 ± 1.80 | 5.82 ± 1.39 | 1.57 ± 0.31 | 1.8 ± 0.25 | 23.6 | 38.3 | 50.8 | 75.6 | 86.1 | 90.3 | 0.99 (0.43–1.50) |
Putamen | 4.42 ± 0.79 | 4.21 ± 1.83 | 6.41 ± 1.44 | 1.71 ± 0.31 | 1.9 ± 0.21 | 28.0 | 43.8 | 56.5 | 79.6 | 88.6 | 92.1 | 0.77 (0.34–1.20) |
Amygdala | 3.92 ± 0.59 | a | 4.90 ± 1.05 | 1.39 ± 0.24 | 1.62 ± 0.19 | 14.5 | 25.3 | 36.1 | 62.9 | 77.2 | 83.6 | 1.77 (0.60–2.94) |
Thalamus | 4.61 ± 0.76 | 4.33 ± 1.99 | 5.17 ± 0.93 | 1.54 ± 0.27 | 1.77 ± 0.19 | 23.4 | 37.9 | 50.4 | 75.3 | 85.9 | 90.1 | 0.98 (0.33–1.64) |
Hypothalamus | 3.85 ± 0.70 | a | 4.38 ± 0.79 | 1.27 ± 0.17 | 1.55 ± 0.08 | 23.4 | 37.9 | 50.4 | 75.3 | 85.9 | 90.1 | 0.98 (0.22–1.74) |
Cerebellum | 3.55 ± 0.70 | 3.43 ± 2.13 | 2.21 ± 0.93 | 1.06 ± 0.12 | 1.11 ± 0.05 | a | a | a | a | a | a | a |
VND is the non-displaceable volume of distribution. VND,saturation has been estimated using the Logan plot method and the maximum co-injected dose of unlabeled buprenorphine (VT, 0.11 mg/kg). VND,graphical has been graphically estimated (see Supplementary material and Supplementary Fig. S3). BPp is the binding potential relative to the plasma kinetic of 11C-buprenorphine. DVR is the distribution volume ratio estimated with the Logan reference method using the occipital cortex as the pseudo-reference region. EC50 is the estimated plasma concentration of buprenorphine associated with 50% of buprenorphine brain receptor occupancy.
Data are expressed as mean (receptor occupancy) or mean ± SD. Estimated EC50 are reported as mean (90% confidence interval).
NA non-applicable.
aPoorly estimated.
BPp estimated in microdose scans (BPp,microdose) was used to estimate the receptor occupancy associated with each pharmacological dose of unlabeled buprenorphine as follow [35]:
The occipital cortex showed the lowest PET signal and was used as pseudo-reference tissue to estimate the regional binding of 11C-buprenorphine without arterial blood sampling (distribution volume ratio (DVR), Logan reference method) [36]. Occipital cortex commonly serves as a reference region for quantification of PET radioligands targeting µ-OR in humans and monkeys [18, 19, 37, 38]. BPp and DVR are unitless values.
For each region and for each scan, the receptor occupancy of 11C-buprenorphine was fitted to the corresponding plasma concentration of buprenorphine, measured from 60 to 90 min post injection. Occupancy associated with plasma concentrations of buprenorphine obtained with the 0.11 mg/kg dose was set to 100%. A non-linear fit model of saturation with one binding site was used to estimate (i) the plasma concentration of buprenorphine associated with regional half-maximum receptor occupancy (EC50) and (ii) the receptor occupancy associated with selected plasma levels of buprenorphine (GraphPad Prism software V7.0, San Diego, CA, USA) (see Supplementary material, Supplementary Fig. S4, and Table 1).
Displacement experiments in nonhuman primates
Additional experiments were performed to address the reversibility of 11C-buprenorphine binding to CNS targets. Displacement experiments were performed in three macaques and consisted in the injection of unlabeled buprenorphine (0.03 mg/kg) or naloxone (0.22 mg/kg), 30 min after 11C-buprenorphine injection. The selected dose of naloxone is the maximum recommended dose as an antidote against opioid overdose in humans [39]. Methods and results of displacement experiments are reported as Supplementary material (Supplementary Fig. S5).
Statistical analysis
Statistical comparison between conditions was performed using GraphPad Prism. Outcome parameters were compared using a two-way ANOVA and Tukey’s post-hoc test. A result was deemed significant when a two-tailed p value was less than 0.05.
Results
Binding of 11C-buprenorphine to OR subtypes in rats
Baseline brain distribution of 11C-buprenorphine showed high PET signal in the thalamus, striatum, and hypothalamus with the lowest PET signal in the cerebellum. Significant differences in uptake ratios were observed across brain regions (p < 0.001, Fig. 1). Blocking experiments using the non-selective OR antagonist naloxone, used as positive control, significantly decreased 11C-buprenorphine binding in most brain regions, reaching similar levels than in the cerebellum (p > 0.05). Blocking by the selective µ-OR antagonist naloxonazine produced similar effects than naloxone. The binding of 11C-buprenorphine was not significantly decreased by selective blocking of κ-OR (norbinaltorphimine) and δ-OR (naltrindole) (Fig. 1).
Co-injection study in macaques
PET images obtained in monkeys injected with microdose 11C-buprenorphine are shown in Supplementary Fig. S6. The PET signal slowly accumulated in OR-rich regions such as the putamen, caudate, and thalamus. The maximum brain concentration was 0.0255 ± 0.0052 %ID.cm−3 at tmax = 22.5 min. Regions with minimal OR expression (cerebellum and occipital cortex) reached their maximum concentration earlier (tmax = 6.6 min) with faster decrease of the radioactivity (Supplementary Fig. S5).
Then, 11C-buprenorphine was co-injected with increasing doses of unlabeled buprenorphine up to 0.11 mg/kg (Fig. 2). Buprenorphine doses were well tolerated and no change in physiological parameters was observed. Selected doses of unlabeled buprenorphine did not impact the metabolism and plasma kinetics of 11C-buprenorphine with no difference in plasma exposure (p > 0.05, Supplementary Fig. S1). This suggests a linear pharmacokinetics for buprenorphine in plasma within the tested dose range. The plasma concentrations of unlabeled buprenorphine estimated from 60 to 90 min ranged from 0.10 ± 0.08 µg/L (microdose condition) to 11.56 ± 2.94 µg/L (0.11 mg/kg condition) and were significantly correlated with injected dose (Supplementary Fig. S7).
Kinetic modeling was performed to estimate 11C-buprenorphine distribution to brain regions in the presence of increasing doses of unlabeled buprenorphine. Co-injection of unlabeled buprenorphine up to 0.11 mg/kg did not impact the K1 of 11C-buprenorphine from plasma into the brain (p > 0.05, Supplementary Fig. S3). There was no difference in K1 between brain regions (p > 0.05). Parametric mapping of VT obtained using microdose 11C-buprenorphine showed significant differences in regional VT between OR-rich brain regions such as the thalamus, striatal, and cortical regions and OR-poor regions such as the cerebellum and occipital cortex (p < 0.01, Fig. 2).
The lowest dose of unlabeled buprenorphine (0.003 mg/kg) was sufficient to saturate 11C-buprenorphine binding in the cerebellum and occipital cortex. OR-rich regions showed a dose-dependent decrease in VT, with a maximal 2.5-fold decrease observed in the putamen obtained using the 0.06 mg/kg dose (Fig. 2). Higher dose (0.11 mg/kg) did not further decrease VT, suggesting complete saturation of buprenorphine brain targets at the 0.06 mg/kg dose. 11C-buprenorphine-associated radioactivity at doses higher than 0.06 mg/kg predominantly reflected the non-specific binding of 11C-buprenorphine and there was no difference in regional VT across brain regions at either 0.06 or 0.11 mg/kg (p > 0.05). We found a strong correlation between VND,saturation and VND,graphical (p < 0.001, R2 = 0.997, Table 1 and Supplementary Fig. S3). VT estimated at 0.11 mg/kg therefore provides a good estimate of the regional non-displaceable volume of distribution (VND) of 11C-buprenorphine for each individual (Fig. 2).
In Fig. 3, regional VT estimated for each dose of unlabeled buprenorphine was plotted to microdose VT according to the VT,dose = f(VT,microdose) equation. The lowest dose of unlabeled buprenorphine (0.003 mg/kg) did not impact the slope of the equation which remained ~1.0, suggesting negligible occupancy in most brain regions. Higher doses of unlabeled buprenorphine did not further decrease VT in the occipital cortex and cerebellum but induced a dose-dependent decrease in the slope of the equation. Deviation of the slope from zero was not significant (p > 0.05) for doses of buprenorphine ≥0.06 mg/kg, suggesting total occupancy (Fig. 3) [40].
There was a strong correlation between regional VT and BPp obtained with 11C-buprenorphine (R2 = 0.98, p < 0.001, Fig. 4). Thus, microdose VT accurately predicted the total specific binding of 11C-buprenorphine. VT and BPp values estimated with kinetic modeling were used as a gold standard to test the reliability of the Logan reference method using the occipital cortex as a pseudo-reference region [36] (Fig. 4). DVRmicrodose and DVR0.003mg/kg were not significantly different (p > 0.05, paired t-test, Table 1 and Fig. 4), suggesting similar relative binding across brain regions. DVRmicrodose or DVR0.003mg/kg correlated with VT,microdose (p < 0.001; R2 = 0.43 and 0.54, respectively, data not shown). Better correlation was found between DVRmicrodose or DVR0.003mg/kg and BPp,microdose (p < 0.001; R2 = 0.64 and 0.66, respectively). This suggests that DVR estimated using 11C-buprenorphine/buprenorphine at either microdose or 0.003 mg/kg predicted the regional BPp of microdose 11C-buprenorphine (Fig. 4).
Plasma concentrations of buprenorphine associated with analgesic doses of buprenorphine (0.003 and 0.006 mg/kg) were 0.29 ± 0.04 and 0.66 ± 0.22 µg/L, respectively (Supplementary Fig. S7). In the thalamus, corresponding receptor occupancy was 20% and 49%, respectively. Regions with the lowest specific binding (cerebellum and occipital cortex) were fully occupied at the lowest analgesic dose. Thus, poor fit and estimation of EC50 were obtained in these regions (Table 1 and Supplementary Fig. S4). In most OR-rich regions, receptor occupancy >90% was achieved with plasma concentrations of buprenorphine >7 µg/L (Table 1 and Supplementary Fig. S4). Regional receptor occupancies associated with a range of plasma concentrations of buprenorphine were estimated (Table 1). Regional differences in receptor occupancy and EC50 could be noticed.
Discussion
PET imaging studies using µ-OR-targeting radioligands are classically used for estimation of the interaction of opioids with µ-OR, with limited information on brain kinetics of investigated compounds [41]. Pharmacokinetic PET studies using radiolabeled analogues of drugs are increasingly used for direct determination of their BBB penetration or brain delivery [22]. This microdose strategy does not however provide information regarding pharmacodynamics, as compared with behavioral investigation or pharmacological MRI (phMRI) [42, 43]. We used complementary pharmacokinetic neuroimaging approaches using 11C-buprenorphine to directly assess its binding to OR subtypes in vivo, as well as the dose-related brain kinetics and target engagement associated with clinically relevant doses of unlabeled buprenorphine.
11C-buprenorphine PET signal in brain regions depends on its non-specific binding, its affinity for OR subtypes, their regional availability, and corresponding association/dissociation kinetics. Binding of buprenorphine to µ-OR, κ-OR and δ-OR has been compared in the same in vitro conditions. Respective Ki of buprenorphine for µ-, κ-, and δ-OR was 0.08, 0.44, and 0.82 nM (monkey), 0.08, 0.11, and 0.42 nM (rat), and 12.4, 108, and 154 nM (human). Buprenorphine showed much lower affinity for ORL-1 (Ki = 285 nM in rats) [9, 44]. Our blocking experiments in rats suggest that the specific binding of 11C-buprenorphine predominantly reflects its interaction with µ-OR rather than κ- or δ-OR. This is consistent with previous ex vivo data showing a single predominant high affinity binding site for 3H-buprenorphine in rat brain lysate, leading to linear Scatchard plot in saturation experiments [45]. Frost et al. compared the regional binding specificity of the non-selective OR antagonist 11C-diprenorphine and µ-OR-selective agonist 11C-carfentanil in humans using the thalamus, a region with known predominance of µ-OR, as a normalization region [46]. Using the same method with our macaque data, the regional binding of 11C-buprenorphine obtained using either microdose or co-injection of 0.003 mg/kg of unlabeled buprenorphine fits the regional distribution of 11C-carfentanil rather than that of 11C-diprenorphine (Supplementary Fig. S8 and Supplementary Table S1). In pharmacotherapy, the affinity for κ- and δ-OR was shown to account for the pharmacodynamics of high-dose buprenorphine [9, 44]. However, from a molecular imaging perspective, only the µ-OR component of the neuropharmacology of buprenorphine can be estimated using 11C-buprenorphine PET imaging.
Modest but significant specific binding of 11C-buprenorphine was observed in the cerebellum and occipital cortex in macaques, in both our co-injection and displacement experiments (Supplementary Fig. S5). Data regarding the expression of OR in these brain regions in monkeys are scarce [47]. Although species differences in OR expression may exist, it was reported a low but significant local expression of µ-, κ- but not δ-OR in the human cerebellum [48, 49]. In the human occipital cortex, expression of κ-, δ- but not µ-OR has been detected [50, 51]. In other regions with known µ-OR expression, unlabeled buprenorphine dose-dependently decreased 11C-buprenorphine VT (Figs. 2 and 3). No saturation of the BBB penetration of 11C-buprenorphine was observed for doses up to 0.11 mg/kg (Supplementary Fig. S2). Full saturation of neuroreceptors, achieved with the highest doses of buprenorphine, revealed the homogenous mapping of the non-specific binding of 11C-buprenorphine (Fig. 2). Thus, quantitative data regarding total specific binding potential of 11C-buprenorphine to CNS targets (BPp) could be derived (Table 1).
Estimation of the dose-related receptor occupancy by buprenorphine using a target-specific radioligand such as 11C-carfentanil or 11C-diprenorphine may depend on the affinity of the selected probe for investigated OR [52]. Direct saturation experiments with 11C-buprenorphine/buprenorphine therefore provide a unique in vivo translation of in vitro binding experiments [7]. Plasma levels associated with analgesic doses of buprenorphine (0.003 and 0.006 mg/kg) ranged from 0.29 ± 0.04 to 0.66 ± 0.22 µg/L, consistent with clinical pharmacokinetic data in patients [14]. Corresponding plasma levels of buprenorphine occupied <50% of the total binding in µ-OR-rich regions such as the thalamus. This suggests that partial occupancy of µ-OR is sufficient to achieve effective analgesia, which may also involve action on κ-OR and nociceptin/ORL-1 at the spinal level [53].
Buprenorphine for addiction maintenance is administered via sublingual route (bioavailability ~70%) [54]. Buprenorphine plasma levels associated with the lowest dose used for addiction maintenance (0.03 mg/kg), administered i.v., still partially occupied µ-OR. Full receptor occupancy was achieved with doses ≥0.06 mg/kg. It was suggested that >50% of µ-OR occupancy is required to ensure suppression of withdrawal syndrome. Moreover, µ-OR occupancy >80% is assumed to protect against opioid overdose syndrome induced by massive and unintended intake [20]. Our macaque data suggest that plasma concentrations >7 µg/L have to be maintained to ensure >90% occupancy of OR by buprenorphine in the striatum. In patients, higher doses of buprenorphine may thus essentially maintain plasma concentration over the targeted threshold to ensure sustained and effective maintenance therapy [55]. This observation is consistent with previous 11C-carfentanil PET data obtained in heroin-dependent subjects showing that total µ-OR occupancy is prolonged by increasing the doses of buprenorphine [19].
Compared with other opioids, buprenorphine overdoses are rare but their clinical management is difficult, with poor efficacy of naloxone as antidote [56]. This is consistent with the slow reversibility of 11C-buprenorphine binding by high-dose naloxone (0.22 mg/kg) observed in our study. Previous blocking experiments performed in macaques and using the µ-OR-selective radioligand 11C-carfentanil showed that ~85% occupancy of µ-OR was achieved by a lower dose of naloxone (0.03 mg/kg, i.v., 10 min before PET) [38].
The occipital cortex and cerebellum are not proper reference tissue for 11C-buprenorphine because of low but significant specific binding was found in these regions. We nonetheless evaluated the occipital cortex as a pseudo-reference tissue region to non-invasively estimate 11C-buprenorphine binding. Both DVRmicrodose and DVR0.003 mg/kg similarly predicted microdose BPp (Fig. 4). In the absence of arterial input function, the binding potential of 11C-buprenorphine in brain regions, which mainly reflects baseline availability of µ-OR, can therefore be estimated using either microdose or low-dose 11C-buprenorphine pharmacokinetic imaging using this simplified method.
For safety reasons, PET imaging is usually performed using microdose receptor antagonists and low injected mass to avoid any adverse effects. In radiotracer development, co-injection of radiotracers with pharmacological doses of corresponding unlabeled compounds is only used to investigate the specific binding to brain regions [57]. We assume this strategy will gain interest for multimodal pharmacological imaging protocols on simultaneous hybrid PET-MR systems [58]. Using CNS-active dose, the time-course of PET-derived target engagement can therefore be directly compared with the hemodynamic response assessed using phMRI or other pharmacodynamic parameters in the same individual [59]. Interestingly, the CNS effects of investigated doses of buprenorphine have been studied using phMRI in both monkeys (0.03 mg/kg) [60] and humans (0.003 mg/kg) [42]. In rhesus monkeys, buprenorphine increased the cerebral blood volume in brain regions consistent with the binding of corresponding doses of buprenorphine to brain regions found in our study [60].
Conclusion
Pharmacokinetic imaging provides a pragmatic method to explore the neuropharmacokinetic and the µ-OR correlates of the CNS effects of buprenorphine. 11C-buprenorphine co-injected with low-dose buprenorphine could be safely performed as a dual-modality imaging biomarker for PET/phMRI studies. This strategy may be useful to explore variability in neurovascular coupling associated with the acute response to buprenorphine in future multimodal pharmacological studies.
Funding and disclosure
This work was performed on a platform member of France Life Imaging network (grant ANR-11-INBS-0006) and was funded by the “Lidex-PIM” project funded by the IDEX Paris-Saclay, ANR-11-IDEX-0003-02. The authors declare no competing interests.
Supplementary information
Acknowledgements
We gratefully thank Jérôme Cayla, Vincent Brulon, and Maud Goislard for technical assistance.
Author contributions
SA, MB, DV, and NT contributed to conception of the work, data analysis, and manuscript writing. SA, SG, and AP contributed to data acquisition. CW, MT, and CL helped for PET and MR imaging analysis. FC performed radiochemistry.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
The online version contains supplementary material available at 10.1038/s41386-021-00976-w.
References
- 1.Trescot AM, Datta S, Lee M, Hansen H. Opioid pharmacology. Pain Physician. 2008;11:S133–153. [PubMed] [Google Scholar]
- 2.Helm S, Trescot AM, Colson J, Sehgal N, Silverman S. Opioid antagonists, partial agonists, and agonists/antagonists: the role of office-based detoxification. Pain Physician. 2008;11:225–35. [PubMed] [Google Scholar]
- 3.Wakeman SE, Barnett ML. Primary care and the opioid-overdose crisis—buprenorphine myths and realities. N Engl J Med. 2018;379:1–4. doi: 10.1056/NEJMp1802741. [DOI] [PubMed] [Google Scholar]
- 4.Olson KM, Duron DI, Womer D, Fell R, Streicher JM. Comprehensive molecular pharmacology screening reveals potential new receptor interactions for clinically relevant opioids. PloS ONE. 2019;14:e0217371. doi: 10.1371/journal.pone.0217371. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Volpe DA, McMahon Tobin GA, Mellon RD, Katki AG, Parker RJ, Colatsky T, et al. Uniform assessment and ranking of opioid μ receptor binding constants for selected opioid drugs. Regul Toxicol Pharm. 2011;59:385–90. doi: 10.1016/j.yrtph.2010.12.007. [DOI] [PubMed] [Google Scholar]
- 6.Virk MS, Arttamangkul S, Birdsong WT, Williams JT. Buprenorphine is a weak partial agonist that inhibits opioid receptor desensitization. J Neurosci. 2009;29:7341–8. doi: 10.1523/JNEUROSCI.3723-08.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Boas RA, Villiger JW. Clinical actions of fentanyl and buprenorphine. The significance of receptor binding. Br J Anaesth. 1985;57:192–6. doi: 10.1093/bja/57.2.192. [DOI] [PubMed] [Google Scholar]
- 8.Bidlack JM, Knapp BI, Deaver DR, Plotnikava M, Arnelle D, Wonsey AM, et al. In vitro pharmacological characterization of buprenorphine, samidorphan, and combinations being developed as an adjunctive treatment of major depressive disorder. J Pharm Exp Ther. 2018;367:267–81. doi: 10.1124/jpet.118.249839. [DOI] [PubMed] [Google Scholar]
- 9.Lutfy K, Cowan A. Buprenorphine: a unique drug with complex pharmacology. Curr Neuropharmacol. 2004;2:395–402. doi: 10.2174/1570159043359477. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Cami-Kobeci G, Polgar WE, Khroyan TV, Toll L, Husbands SM. Structural determinants of opioid and NOP receptor activity in derivatives of buprenorphine. J Med Chem. 2011;54:6531–7. doi: 10.1021/jm2003238. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Raffa RB, Haidery M, Huang H-M, Kalladeen K, Lockstein DE, Ono H, et al. The clinical analgesic efficacy of buprenorphine. J Clin Pharm Ther. 2014;39:577–83. doi: 10.1111/jcpt.12196. [DOI] [PubMed] [Google Scholar]
- 12.Walsh SL, Preston KL, Stitzer ML, Cone EJ, Bigelow GE. Clinical pharmacology of buprenorphine: ceiling effects at high doses. Clin Pharm Ther. 1994;55:569–80. doi: 10.1038/clpt.1994.71. [DOI] [PubMed] [Google Scholar]
- 13.Calabrese EJ. Pain and u-shaped dose responses: occurrence, mechanisms, and clinical implications. Crit Rev Toxicol. 2008;38:579–90. doi: 10.1080/10408440802026281. [DOI] [PubMed] [Google Scholar]
- 14.Bullingham RE, McQuay HJ, Moore A, Bennett MR. Buprenorphine kinetics. Clin Pharm Ther. 1980;28:667–72. doi: 10.1038/clpt.1980.219. [DOI] [PubMed] [Google Scholar]
- 15.Auvity S, Breuil L, Goislard M, Bottlaender M, Kuhnast B, Tournier N, et al. An original radio-biomimetic approach to synthesize radiometabolites for PET imaging. Nucl Med Biol. 2020;90-91:10–4. doi: 10.1016/j.nucmedbio.2020.08.001. [DOI] [PubMed] [Google Scholar]
- 16.Suridjan I, Comley RA, Rabiner EA. The application of positron emission tomography (PET) imaging in CNS drug development. Brain Imaging Behav. 2019;13:354–65. doi: 10.1007/s11682-018-9967-0. [DOI] [PubMed] [Google Scholar]
- 17.Nummenmaa L, Karjalainen T, Isojärvi J, Kantonen T, Tuisku J, Kaasinen V, et al. Lowered endogenous mu-opioid receptor availability in subclinical depression and anxiety. Neuropsychopharmacol. 2020. 30 May 2020. 10.1038/s41386-020-0725-9. [DOI] [PMC free article] [PubMed]
- 18.Zubieta J, Greenwald MK, Lombardi U, Woods JH, Kilbourn MR, Jewett DM, et al. Buprenorphine-induced changes in mu-opioid receptor availability in male heroin-dependent volunteers: a preliminary study. Neuropsychopharmacol. 2000;23:326–34. doi: 10.1016/S0893-133X(00)00110-X. [DOI] [PubMed] [Google Scholar]
- 19.Greenwald MK, Johanson C-E, Moody DE, Woods JH, Kilbourn MR, Koeppe RA, et al. Effects of buprenorphine maintenance dose on mu-opioid receptor availability, plasma concentrations, and antagonist blockade in heroin-dependent volunteers. Neuropsychopharmacol. 2003;28:2000–9. doi: 10.1038/sj.npp.1300251. [DOI] [PubMed] [Google Scholar]
- 20.Greenwald MK, Comer SD, Fiellin DA. Buprenorphine maintenance and mu-opioid receptor availability in the treatment of opioid use disorder: implications for clinical use and policy. Drug Alcohol Depend. 2014;144:1–11. doi: 10.1016/j.drugalcdep.2014.07.035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Lever JR, Mazza SM, Dannals RF, Ravert HT, Wilson AA, Wagner HN. Facile synthesis of [11C]buprenorphine for positron emission tomographic studies of opioid receptors. Int J Rad Appl Instrum A. 1990;41:745–52. doi: 10.1016/0883-2889(90)90022-9. [DOI] [PubMed] [Google Scholar]
- 22.Tournier N, Stieger B, Langer O. Imaging techniques to study drug transporter function in vivo. Pharm Ther. 2018;189:104–22. doi: 10.1016/j.pharmthera.2018.04.006. [DOI] [PubMed] [Google Scholar]
- 23.Ott J, Spilhaug MM, Maschauer S, Rafique W, Jakobsson JE, Hartvig K, et al. Pharmacological characterization of low-to-moderate affinity opioid receptor agonists and brain imaging with 18F-labeled derivatives in rats. J Med Chem. 2020;63:9484–99. doi: 10.1021/acs.jmedchem.0c00683. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Chevillard L, Mégarbane B, Risède P, Baud FJ. Characteristics and comparative severity of respiratory response to toxic doses of fentanyl, methadone, morphine, and buprenorphine in rats. Toxicol Lett. 2009;191:327–40. doi: 10.1016/j.toxlet.2009.09.017. [DOI] [PubMed] [Google Scholar]
- 25.Placzek MS, Schroeder FA, Che T, Wey H-Y, Neelamegam R, Wang C, et al. Discrepancies in Kappa opioid agonist binding revealed through PET imaging. ACS Chem Neurosci. 2019;10:384–95. doi: 10.1021/acschemneuro.8b00293. [DOI] [PubMed] [Google Scholar]
- 26.Poisnel G, Oueslati F, Dhilly M, Delamare J, Perrio C, Debruyne D, et al. [11C]-MeJDTic: a novel radioligand for kappa-opioid receptor positron emission tomography imaging. Nucl Med Biol. 2008;35:561–9. doi: 10.1016/j.nucmedbio.2008.02.010. [DOI] [PubMed] [Google Scholar]
- 27.Auvity S, Chapy H, Goutal S, Caillé F, Hosten B, Smirnova M, et al. Diphenhydramine as a selective probe to study H+-antiporter function at the blood-brain barrier: application to [11C]diphenhydramine positron emission tomography imaging. J Cereb Blood Flow Metab. 2017;37:2185–95. doi: 10.1177/0271678X16662042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Tempel A, Zukin RS. Neuroanatomical patterns of the mu, delta, and kappa opioid receptors of rat brain as determined by quantitative in vitro autoradiography. Proc Natl Acad Sci. 1987;84:4308–12. doi: 10.1073/pnas.84.12.4308. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Tournier N, Goutal S, Auvity S, Traxl A, Mairinger S, Wanek T, et al. Strategies to inhibit ABCB1- and ABCG2-mediated efflux transport of erlotinib at the blood-brain barrier: a PET study on nonhuman primates. J Nucl Med. 2017;58:117–22. doi: 10.2967/jnumed.116.178665. [DOI] [PubMed] [Google Scholar]
- 30.Auvity S, Tonietto M, Caillé F, Bodini B, Bottlaender M, Tournier N, et al. Repurposing radiotracers for myelin imaging: a study comparing 18F-florbetaben, 18F-florbetapir, 18F-flutemetamol,11C-MeDAS, and 11C-PiB. Eur J Nucl Med Mol Imaging. 2020;47:490–501. doi: 10.1007/s00259-019-04516-z. [DOI] [PubMed] [Google Scholar]
- 31.Reilhac A, Charil A, Wimberley C, Angelis G, Hamze H, Callaghan P, et al. 4D PET iterative deconvolution with spatiotemporal regularization for quantitative dynamic PET imaging. NeuroImage. 2015;118:484–93. doi: 10.1016/j.neuroimage.2015.06.029. [DOI] [PubMed] [Google Scholar]
- 32.Rohlfing T, Kroenke CD, Sullivan EV, Dubach MF, Bowden DM, Grant KA, et al. The INIA19 template and NeuroMaps Atlas for primate brain image parcellation and spatial normalization. Front Neuroinformatics. 2012;6:27. doi: 10.3389/fninf.2012.00027. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Bentourkia M. Determination of the input function at the entry of the tissue of interest and its impact on PET kinetic modeling parameters. Mol Imaging Biol. 2015;17:748–56. doi: 10.1007/s11307-015-0895-8. [DOI] [PubMed] [Google Scholar]
- 34.Logan J, Fowler JS, Volkow ND, Wolf AP, Dewey SL, Schlyer DJ, et al. Graphical analysis of reversible radioligand binding from time-activity measurements applied to [N-11C-methyl]-(-)-cocaine PET studies in human subjects. J Cereb Blood Flow Metab. 1990;10:740–7. doi: 10.1038/jcbfm.1990.127. [DOI] [PubMed] [Google Scholar]
- 35.Martinez D, Hwang D, Mawlawi O, Slifstein M, Kent J, Simpson N, et al. Differential occupancy of somatodendritic and postsynaptic 5HT(1A) receptors by pindolol: a dose-occupancy study with [11C]WAY 100635 and positron emission tomography in humans. Neuropsychopharmacol. 2001;24:209–29. doi: 10.1016/S0893-133X(00)00187-1. [DOI] [PubMed] [Google Scholar]
- 36.Logan J, Fowler JS, Volkow ND, Wang GJ, Ding YS, Alexoff DL. Distribution volume ratios without blood sampling from graphical analysis of PET data. J Cereb Blood Flow Metab. 1996;16:834–40. doi: 10.1097/00004647-199609000-00008. [DOI] [PubMed] [Google Scholar]
- 37.Frost JJ, Douglass KH, Mayberg HS, Dannals RF, Links JM, Wilson AA, et al. Multicompartmental analysis of [11C]-carfentanil binding to opiate receptors in humans measured by positron emission tomography. J Cereb Blood Flow Metab. 1989;9:398–409. doi: 10.1038/jcbfm.1989.59. [DOI] [PubMed] [Google Scholar]
- 38.Saccone PA, Lindsey AM, Koeppe RA, Zelenock KA, Shao X, Sherman P, et al. Intranasal opioid administration in rhesus monkeys: PET imaging and antinociception. J Pharm Exp Ther. 2016;359:366–73. doi: 10.1124/jpet.116.235192. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Boyer EW. Management of opioid analgesic overdose. N Engl J Med. 2012;367:146–55. doi: 10.1056/NEJMra1202561. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Cunningham VJ, Rabiner EA, Slifstein M, Laruelle M, Gunn RN. Measuring drug occupancy in the absence of a reference region: the Lassen plot re-visited. J Cereb Blood Flow Metab. 2010;30:46–50. doi: 10.1038/jcbfm.2009.190. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Henriksen G, Willoch F. Imaging of opioid receptors in the central nervous system. Brain. 2008;131:1171–96. doi: 10.1093/brain/awm255. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Upadhyay J, Anderson J, Schwarz AJ, Coimbra A, Baumgartner R, Pendse G, et al. Imaging drugs with and without clinical analgesic efficacy. Neuropsychopharmacol. 2011;36:2659–73. doi: 10.1038/npp.2011.156. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Jenkins BG. Pharmacologic magnetic resonance imaging (phMRI): imaging drug action in the brain. NeuroImage. 2012;62:1072–85. doi: 10.1016/j.neuroimage.2012.03.075. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Ide S, Minami M, Satoh M, Uhl GR, Sora I, Ikeda K. Buprenorphine antinociception is abolished, but naloxone-sensitive reward is retained, in mu-opioid receptor knockout mice. Neuropsychopharmacol. 2004;29:1656–63. doi: 10.1038/sj.npp.1300463. [DOI] [PubMed] [Google Scholar]
- 45.Villiger JW, Taylor KM. Buprenorphine: characteristics of binding sites in the rat central nervous system. Life Sci. 1981;29:2699–708. doi: 10.1016/0024-3205(81)90529-4. [DOI] [PubMed] [Google Scholar]
- 46.Frost JJ, Mayberg HS, Sadzot B, Dannals RF, Lever JR, Ravert HT, et al. Comparison of [11C]diprenorphine and [11C]carfentanil binding to opiate receptors in humans by positron emission tomography. J Cereb Blood Flow Metab. 1990;10:484–92. doi: 10.1038/jcbfm.1990.90. [DOI] [PubMed] [Google Scholar]
- 47.Ragen BJ, Freeman SM, Laredo SA, Mendoza SP, Bales KL. μ and κ opioid receptor distribution in the monogamous titi monkey (Callicebus cupreus): implications for social behavior and endocrine functioning. Neuroscience. 2015;290:421–34. doi: 10.1016/j.neuroscience.2015.01.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Schadrack J, Willoch F, Platzer S, Bartenstein P, Mahal B, Dworzak D, et al. Opioid receptors in the human cerebellum: evidence from [11C]diprenorphine PET, mRNA expression and autoradiography. Neuroreport. 1999;10:619–24. doi: 10.1097/00001756-199902250-00032. [DOI] [PubMed] [Google Scholar]
- 49.Hammers A, Lingford-Hughes A. Opioid imaging. Neuroimaging Clin N Am. 2006;16:529–52. doi: 10.1016/j.nic.2006.06.004. [DOI] [PubMed] [Google Scholar]
- 50.Hiller JM, Fan LQ. Laminar distribution of the multiple opioid receptors in the human cerebral cortex. Neurochem Res. 1996;21:1333–45. doi: 10.1007/BF02532374. [DOI] [PubMed] [Google Scholar]
- 51.Valentino RJ, Volkow ND. Untangling the complexity of opioid receptor function. Neuropsychopharmacol. 2018;43:2514–20. doi: 10.1038/s41386-018-0225-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Hume SP, Lingford-Hughes AR, Nataf V, Hirani E, Ahmad R, Davies AN, et al. Low sensitivity of the positron emission tomography ligand [11C]diprenorphine to agonist opiates. J Pharm Exp Ther. 2007;322:661–7. doi: 10.1124/jpet.107.121749. [DOI] [PubMed] [Google Scholar]
- 53.Gudin J, Fudin J. A narrative pharmacological review of buprenorphine: a unique opioid for the treatment of chronic pain. Pain Ther. 2020. 28 Jan 2020. 10.1007/s40122-019-00143-6. [DOI] [PMC free article] [PubMed]
- 54.Bullingham RE, McQuay HJ, Porter EJ, Allen MC, Moore RA. Sublingual buprenorphine used postoperatively: ten hour plasma drug concentration analysis. Br J Clin Pharm. 1982;13:665–73. doi: 10.1111/j.1365-2125.1982.tb01434.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Schottenfeld RS, Pakes J, O’Connor P, Chawarski M, Oliveto A, Kosten TR. Thrice-weekly versus daily buprenorphine maintenance. Biol Psychiatry. 2000;47:1072–9. doi: 10.1016/s0006-3223(99)00270-x. [DOI] [PubMed] [Google Scholar]
- 56.van Dorp E, Yassen A, Sarton E, Romberg R, Olofsen E, Teppema L, et al. Naloxone reversal of buprenorphine-induced respiratory depression. Anesthesiology. 2006;105:51–7. doi: 10.1097/00000542-200607000-00012. [DOI] [PubMed] [Google Scholar]
- 57.Pike VW. Considerations in the development of reversibly binding PET radioligands for brain imaging. Curr Med Chem. 2016;23:1818–69. doi: 10.2174/0929867323666160418114826. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Tournier N, Comtat C, Lebon V, Gennisson J-L. Challenges and perspectives of the hybridization of PET with functional MRI or ultrasound for neuroimaging. Neuroscience. 2020. 20 Oct 2020. 10.1016/j.neuroscience.2020.10.015. [DOI] [PubMed]
- 59.Sander CY, Hansen HD, Wey H-Y. Advances in simultaneous PET/MR for imaging neuroreceptor function. J Cereb Blood Flow Metab. 2020;240:1148–66. doi: 10.1177/0271678X20910038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Seah S, Asad ABA, Baumgartner R, Feng D, Williams DS, Manigbas E, et al. Investigation of cross-species translatability of pharmacological MRI in awake nonhuman primate—a buprenorphine challenge study. PloS ONE. 2014;9:e110432. doi: 10.1371/journal.pone.0110432. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.