The N-methyl-D-aspartate receptor (NMDAR) plays a crucial role in neurodegenerative diseases such as Alzheimer's disease and in the treatment of major depression by new fast-acting antidepressants such as ketamine. Given their broad implications, GluN2B-containing NMDARs have been of large interest as diagnostic and therapeutic targets. Recently, (R)-11 C-Me-NB1 was investigated preclinically and shown to be a promising radioligand for imaging GluN2B subunits.Here, we report on the performance characteristics of this novel radioligand in a first-in-human PET study. Methods: Six healthy male subjects were scanned twice on a fully-integrated PET/MR scanner with (R)-11 C-Me-NB1 for 120 min. Brain uptake and tracer distribution over time were investigated by standardized uptake values (SUV). Test-retest reliability was assessed with the absolute percentage difference (APD) and the coefficient of variation (COV).Exploratory total volumes of distribution (VT) were computed using an arterial input function and the Logan plot as well as a constrained two-tissue compartment model with K1/k2 coupled (2TCM). SUV was correlated with VT to investigate its potential as a surrogate marker of GluN2B expression. Results: High and heterogeneous radioligand uptake was observed across the entire gray matter with reversible kinetics within the scan time. SUV APD ranged from 6.8 -8.5% and COV from 4.9 -6.0%, indicating a high test-retest reliability. A moderate correlation was found between SUV averaged from 70-90 min and VT using Logan plot (Spearman's rho = 0.44).Correlation between VT Logan and 2TCM was r= 0.76. Conclusion: The novel radioligand, (R)-11 C-Me-NB1, was highly effective in mapping GluN2B-enriched NMDARs in the human brain.With a heterogeneous uptake and a high test-retest reliability, this radioligand offers promise to deepen our understanding of the GluN2B-containing NMDA receptor in the pathophysiology and treatment of neuropsychiatric disease such as Alzheimer's disease and major depression.Additionally, it could help in the selection of appropriate doses of GluN2B-targeting drugs.

The serotonin-1A receptor (5-HT1AR) represents a viable target in the treatment of disorders of the brain. However, development of psychiatric drugs continues to be hindered by the relative inaccessibility of brain tissue. Although the efficacy of drugs selective for the 5-HT1AR has not been proven, research continues to focus on drugs that influence this receptor subtype. To further knowledge on this topic, we investigated the topological coexpression patterns of the 5-HT1AR. We calculated Spearman’s rho for the correlation of positron emission tomography-binding potentials (BPND) of the 5-HT1AR assessed in 30 healthy subjects using the tracer [carbonyl-11C]WAY-100635 and predicted whole-brain mRNA expression of 18 686 genes. After applying a threshold of r > 0.3 in a leave-one-out cross-validation of the prediction of mRNA expression, genes with ρ ≥ 0.7 were considered to be relevant. In cortical regions, 199 genes showed high correlation with the BPND of the 5-HT1AR, in subcortical regions 194 genes. Using our approach, we could consolidate the role of BDNF and implicate new genes (AnxA8, NeuroD2) in serotonergic functioning. Despite its explorative nature, the analysis can be seen as a gene prioritization approach to reduce the number of genes potentially connected to 5-HT1AR functioning and guide future in vitro studies.

Open access post-mortem transcriptome atlases such as the Allen Human Brain Atlas (AHBA) can inform us about mRNA expression of numerous proteins of interest across the whole brain, while in vivo protein binding in the human brain can be quantified by means of neuroreceptor positron emission tomography (PET). By combining both modalities, the association between regional gene expression and receptor distribution in the living brain can be approximated. Here, we compare the characteristics of D 2 and D 3 dopamine receptor distribution by applying the dopamine D 2/3 receptor agonist radioligand [ 11 C]-(+)-PHNO and human gene expression data. Since [ 11 C]-(+)-PHNO has a higher affinity for D 2 compared to D 2 receptors, we hypothesized that there is a stronger relationship between D 2/3 non-displaceable binding potentials (BP ND ) and D 3 mRNA expression. To investigate the relationship between D 2/3 BP ND and mRNA expression of DRD2 and DRD3 we performed [ 11 C]-(+)-PHNO PET scans in 27 healthy subjects (12 females) and extracted gene expression data from the AHBA. We also calculated D 2 /D 3 mRNA expression ratios to imitate the mixed D 2/3 signal of [ 11 C]-(+)-PHNO. In accordance with our a priori hypothesis, a strong correlation between [ 11 C]-(+)-PHNO and DRD3 expression was found. However, there was no significant correlation with DRD2 expression. Calculated D 2 /D 3 mRNA expression ratios also showed a positive correlation with [ 11 C]-(+)-PHNO binding, reflecting the mixed D 2/3 signal of the radioligand. Our study supports the usefulness of combining gene expression data from open access brain atlases with in vivo imaging data in order to gain more detailed knowledge on neurotransmitter signaling.

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