Search

Acetylcholine (ACh) has distinct functional roles in striatum compared with cortex, and imbalance between these systems may contribute to neuropsychiatric disease. Preclinical studies indicate markedly higher ACh concentrations in the striatum. The goal of this work was to leverage positron emission tomography (PET) imaging estimates of drug occupancy at cholinergic receptors to explore ACh variation across the human brain, because these measures can be influenced by competition with endogenous neurotransmitter. PET scans were analyzed from healthy human volunteers (n = 4) and nonhuman primates (n = 2) scanned with the M1-selective radiotracer [11C]LSN3172176 in the presence of muscarinic antagonist scopolamine, and human volunteers (n = 10) scanned with the α4β2* nicotinic ligand (-)-[18F]flubatine during nicotine challenge. In all cases, occupancy estimates within striatal regions were consistently lower (M1/scopolamine human scans, 31 ± 3.4% occupancy in striatum, 43 ± 2.9% in extrastriatal regions, p = 0.0094; nonhuman primate scans, 42 ± 26% vs. 69 ± 28%, p < 0.0001; α4β2*/nicotine scans, 67 ± 15% vs. 74 ± 16%, p = 0.0065), indicating higher striatal ACh concentration. Subject-level measures of these concentration differences were estimated, and whole-brain images of regional ACh concentration gradients were generated. These results constitute the first in vivo estimates of regional variation in ACh concentration in the living brain and offer a novel experimental method to assess potential ACh imbalances in clinical populations., (© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

The prevalence of cardiovascular diseases (CVD) is increased in subjects with post-traumatic stress disorder (PTSD). Vascular inflammation mediates CVD and may be assessed by 18 F-fluorodeoxyglucose (FDG) positron emission tomography (PET) imaging. In this pilot study, we investigated whether subjects with PTSD have enhanced vascular and systemic inflammation compared to healthy controls, as assessed by FDG PET imaging., Methods: A prospective group of 16 subjects (9 PTSD and 7 controls, age 34 ± 7) without prior history of CVD underwent FDG PET/CT imaging. The presence of PTSD symptoms at the time of the study was confirmed using PTSD checklist for DSM-5 (PCL5) questionnaire. Blood samples were collected to determine blood glucose, lipid and inflammatory biomarkers (tumor necrosis factor α, interleukin-1β, and interleukin-6) levels. FDG signal in the ascending aorta, amygdala, spleen and bone marrow was quantified., Results: The two groups matched closely with regards to cardiovascular risk factors. The inflammatory biomarkers were all within the normal range. There was no significant difference in FDG signal in the aorta (target to background ratio: 2.40 ± 0.29 and 2.34 ± 0.29 for control and PTSD subjects, difference: - 0.06, 95% confidence interval of difference: - 0.38 to 0.26), spleen, bone marrow, or amygdala between control and PTSD subjects. There was no significant correlation between aortic and amygdala FDG signal. However, a significant positive correlation existed between amygdala, splenic, and bone marrow FDG signal., Conclusion: This pilot, small study did not reveal any difference in vascular or systemic inflammation as assessed by FDG PET imaging between PTSD and healthy control subjects. Because of the small number of subjects, a modest increase in vascular inflammation, which requires larger scale studies to establish, cannot be excluded. The correlation between FDG signal in amygdala, spleen and bone marrow may reflect a link between amygdala activity and systemic inflammation.

2-deoxy-2- [ 18 F] fluoro-D-glucose (FDG) PET is commonly used for the assessment of vessel wall inflammation. Guidelines for analysis of arterial wall FDG signal recommend the use of the average of maximal standardized uptake value (mean SUV max ) and target-to-blood (mean TBR max ) ratio. However, these methods have not been validated against a gold standard such as tissue activity ex vivo or net uptake rate of FDG (K i ) obtained using kinetic modeling. We sought to evaluate the accuracy of mean SUV max and mean TBR max for aortic wall FDG signal quantification in comparison with the net uptake rate of FDG., Methods: Dynamic PET data from 13 subjects without prior history of cardiovascular disease who enrolled in a study of vascular inflammation were used for this analysis. Ex vivo measurement of plasma activity was used as the input function and voxel-by-voxel Patlak analysis was performed with t* = 20 minute to obtain the K i image. The FDG signal in the ascending aortic wall was quantified on PET images following recent guidelines for vascular imaging to determine mean SUV max and mean TBR max ., Results: The K i in the ascending aortic wall did not correlate with mean SUV max (r = 0.10, P = NS), but correlated with mean TBR max (r = 0.82, P < 0.001) (Figure 1B). K i and K i&#95;max strongly correlated (R = 0.96, P < 0.0001) and similar to K i , K i&#95;max did not correlate with mean SUV max (r = 0.17, P = NS), but correlated with mean TBR max (r = 0.83, P < 0.001)., Conclusions: Kinetic modeling supports the use of mean TBR max as a surrogate for the net uptake rate of FDG in the arterial wall. These results are relevant to any PET imaging agent, regardless of the biological significance of the tracer uptake in the vessel wall.

11β-Hydroxysteroid dehydrogenase type 1 (11β-HSD1) catalyzes enzymatic conversion of cortisone into the stress hormone cortisol. This first-in-human brain imaging study characterizes the kinetic modeling and test-retest reproducibility of [ 18 F]AS2471907, a novel PET radiotracer for 11β-HSD1. Eight individuals underwent one 180-min ( n  = 4) or two 240-min ( n  = 4) [ 18 F]AS2471907 PET brain scans (12 total) acquired on the high-resolution research tomograph (HRRT) scanner with arterial blood sampling. Imaging data were modeled with 1-tissue (1T) and 2-tissue (2T) compartment models and with multilinear analysis (MA1) to estimate [ 18 F]AS2471907 availability ( V T ). [ 18 F]AS2471907 demonstrated high, heterogeneous uptake throughout the brain. Of the compartment models, 2T best described [ 18 F]AS2471907 data. Estimates of V T were highly correlated between 2T and MA1 ( t*  = 30 min) with MA1 yielding V T values ranging from 3.2 ± 1.0 mL/cm 3 in the caudate to 15.7 ± 4.2 mL/cm 3 in the occipital cortex. The median absolute test-retest variability of 16 ± 5% and high intraclass correlation coefficient (ICC) values of 0.67-0.97 across regions indicate fair test-retest reliability but large intersubject variability. V T estimates using 180 min were within 10% of estimates using full acquisition time. In summary, [ 18 F]AS2471907 exhibits reasonable kinetic properties for imaging 11β-HSD1 in human brain.

We aimed to characterize changes in binding of (-)-[ 18 F]Flubatine to α 4 β 2 *-nicotinic acetylcholine receptors (α 4 β 2 *-nAChRs) during a tobacco cigarette smoking challenge. Displacement of (-)-[ 18 F]Flubatine throughout the brain was quantified as change in (-)-[ 18 F]Flubatine distribution volume (V T ), with particular emphasis on regions with low V T . Three tobacco smokers were imaged with positron emission tomography (PET) during a 210 min bolus-plus-constant infusion of (-)-[ 18 F]Flubatine. A tobacco cigarette was smoked in the PET scanner ∼125 min after the start of (-)-[ 18 F]Flubatine injection. Equilibrium analysis was used to estimate V T at baseline (90-120 min) and after cigarette challenge (180-210 min), at the time of greatest receptor occupancy by nicotine. Smoking reduced V T by 21 ± 9% (average ±SD) in corpus callosum, 17 ± 9% in frontal cortex, 36 ± 11% in cerebellum, and 22 ± 10% in putamen. The finding of displaceable (-)-[ 18 F]Flubatine binding throughout the brain is an important consideration for reference region-based quantification approaches with this tracer. We observed displacement of (-)-[ 18 F]Flubatine binding to α 4 β 2 *-nicotinic acetylcholine receptors in corpus callosum by a tobacco cigarette challenge. We conclude that reference region approaches utilizing corpus callosum should first perform careful characterization of displaceable (-)-[ 18 F]Flubatine binding and nondisplaceable kinetics in this putative reference region., (© 2017 Wiley Periodicals, Inc.)

Introduction: The aims of the present study were to develop an optimized microfluidic method for the production of the selective nicotinic acetylcholine α4β2 receptor radiotracer [(18)F]-(-)-NCFHEB ([(18)F]-Flubatine) and to investigate its receptor binding profile and pharmacokinetic properties in rhesus monkeys in vivo., Methods: [(18)F]-(-)-NCFHEB was prepared in two steps, a nucleophilic fluorination followed by N-Boc deprotection. PET measurements were performed in rhesus monkeys including baseline and preblocking experiments with nicotine (0.24 mg/kg). Radiometabolites in plasma were measured using HPLC., Results: [(18)F]-(-)-NCFHEB was prepared in a total synthesis time of 140 min. The radiochemical purity in its final formulation was >98% and the mean specific radioactivity was 97.3 ± 16.1 GBq/μmol (n = 6) at end of synthesis (EOS). In the monkey brain, radioactivity concentration was high in the thalamus, moderate in the putamen, hippocampus, frontal cortex, and lower in the cerebellum. Nicotine blocked 98-100% of [(18)F]-(-)-NCFHEB specific binding, and the non-displaceable distribution volume (VND) was estimated at 5.9 ± 1.0 mL/cm(3) (n = 2), or 6.6 ± 1.1 mL/cm(3) after normalization by the plasma free fraction fP. Imaging data are amenable to kinetic modeling analysis using the multilinear analysis (MA1) method, and model-derived binding parameters display good test-retest reproducibility. In rhesus monkeys, [(18)F]-(-)-NCFHEB can yield robust regional binding potential (BPND) values (thalamus = 4.1 ± 1.5, frontal cortex = 1.2 ± 0.2, putamen = 0.96 ± 0.45, and cerebellum = 0.10 ± 0.29)., Conclusion: An efficient microfluidic synthetic method was developed for preparation of [(18)F]-(-)-NCFHEB. PET examination in rhesus monkeys showed that [(18)F]-(-)-NCFHEB entered the brain readily and its regional radioactivity uptake pattern was in accordance with the known distribution of α4β2 receptors. Estimated non-displaceable binding potential (BPND) values in brain regions were better than those of [(18)F]2-FA and comparable to [(18)F]AZAN. These results confirm previous findings and support further examination of [(18)F]-(-)-NCFHEB in humans., (Copyright © 2014 Elsevier Inc. All rights reserved.)

Objective: 18F-(-)-NCFHEB (also known as 18F-(-)-Flubatine) is a new radioligand to image α4β2* nicotinic acetylcholine receptors in vivo with positron emission tomography (PET), with faster kinetics than previous radioligands such as 18F-2-F-A85380. The goal of this study was to assess the sensitivity of 18F-(-)-NCFHEB-PET to increases in synaptic acetylcholine concentration induced by acetylcholinesterase inhibitors., Methods: Two rhesus monkeys were scanned four times each on a Focus 220 scanner: first at baseline, then during two bolus plus infusions of physostigmine (0.06-0.28 mg/kg), and finally following a bolus injection of donepezil (0.25 mg/kg). The arterial input function and the plasma free fraction fP were measured. 18F-(-)-NCFHEB volume of distribution VT was estimated using the multilinear analysis MA1 and then normalized by plasma free fraction fP ., Results: 18F-(-)-NCFHEB fP was 0.89±0.04. At baseline, 18F-(-)-NCFHEB VT /fP ranged from 7.9±1.3 mL plasma/cm3 tissue in the cerebellum to 34.3±8.4 mL plasma/cm3 tissue in the thalamus. Physostigmine induced a dose-dependent reduction of 18F-(-)-NCFHEB VT /fP of 34±9% in the putamen, 32±8% in the thalamus, 25±8% in the cortex, and 23±10% in the hippocampus. With donepezil, 18F-(-)-NCFHEB VT /fP was reduced by 24±2%, 14+3% and 14±5%, 10±6% in the same regions., Conclusion: 18F-(-)-NCFHEB can be used to detect changes in synaptic acetylcholine concentration and is a promising tracer to study acetylcholine dynamics with shorter scan durations than previous radioligands., (© 2014 Wiley Periodicals, Inc.)

This study aims to investigate the pharmacokinetics of a recently developed radiotracer for imaging of the norepinephrine transporter (NET) in baboon brain, (123)I-INER, using single photon emission computed tomography (SPECT). In addition, it also aims to determine NET occupancy by atomoxetine and reboxetine, two selective norepinephrine reuptake inhibitors, using (123)I-INER in baboons. Baseline and preblocking studies with a high dose of atomoxetine (0.85 mg/kg) were conducted in three baboons using SPECT with (123)I-INER administered as a bolus. Kinetic modeling analysis was investigated for different models, namely invasive and reference tissue models. Bolus plus constant infusion experiments with displacement at equilibrium using six different doses of atomoxetine (0.03-0.85 mg/kg) and four different doses of reboxetine (0.5-3.0 mg/kg) were carried out in several baboons to obtain occupancy measurements as a function of dose for the two NET selective drugs. Results showed that reference tissue models can be used to estimate binding potential values and occupancy measures of (123)I-INER in different brain regions. In addition, the apparent volume of distribution was estimated by dividing concentration in tissue by the concentration in blood at 3 hours postinjection. After administration of atomoxetine or reboxetine, a dose-dependent occupancy was observed in brain regions known to contain high densities of NET. In conclusion, pharmacokinetic properties of (123) I-INER were successfully described, and obtained results may be used to simplify future data acquisition and image processing. Dose-dependent NET occupancy for two selective norepinephrine reuptake inhibitors was successfully measured in vivo in baboon brain using SPECT and (123) I-INER., (Copyright © 2012 Wiley Periodicals, Inc.)

Human postmortem studies have reported decreases with age in high-affinity nicotine binding in brain. We have been investigating in vivo the availability of the beta(2)-containing nicotinic acetylcholine receptor (beta(2)-nAChR) in healthy nonsmokers (18-85 years of age) using [(123)I]5-IA-85380 SPECT imaging. Age and regional beta(2)-nAChR availability (V(T)(,)) have been observed to be inversely correlated in all brain regions analyzed, with decline ranging from 21% (cerebellum) to 36% (thalamus), or by up to 5% per decade of life. Preliminary results have confirmed postmortem reports of age-related decline in high-affinity nicotine binding with age and may elucidate the role of beta(2)-nAChRs in the cognitive decline associated with aging.