| Literature DB >> 29738910 |
Tomoteru Yamasaki1, Wakana Mori2, Yiding Zhang2, Akiko Hatori2, Masayuki Fujinaga2, Hidekatsu Wakizaka2, Yusuke Kurihara3, Lu Wang4, Nobuki Nengaki3, Tomoyuki Ohya2, Steven H Liang5, Ming-Rong Zhang2.
Abstract
Monoacylglycerol lipase (MAGL) is a main regulator of the endocannabinoid system within the central nervous system (CNS). Recently, [11C]SAR127303 was developed as a promising radioligand for MAGL imaging. In this study, we aimed to quantify regional MAGL concentrations in the rat brain using positron emission tomography (PET) with [11C]SAR127303. An irreversible two-tissue compartment model (2-TCMi, k4 = 0) analysis was conducted to estimate quantitative parameters (k3, Ki2-TCMi, and λk3). These parameters were successfully obtained with high identifiability (<10 %COV) for the following regions ranked in order from highest to lowest: cingulate cortex > striatum > hippocampus > thalamus > cerebellum > hypothalamus ≈ pons. In vitro autoradiographs using [11C]SAR127303 showed a heterogeneous distribution of radioactivity, as seen in the PET images. The Ki2-TCMi and λk3 values correlated relatively highly with in vitro binding (r > 0.4, P < 0.005). The Ki2-TCMi values showed high correlation and low underestimation (<10%) compared with the slope of a Patlak plot analysis with linear regression (KiPatlak). In conclusion, we successfully estimated regional net uptake value of [11C]SAR127303 reflecting MAGL concentrations in rat brain regions for the first time.Entities:
Keywords: Monoacylglycerol lipase; Net influx constant K(i); Patlak plot; Positron emission tomography; Two-tissue compartment model
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Year: 2018 PMID: 29738910 PMCID: PMC5976552 DOI: 10.1016/j.neuroimage.2018.05.015
Source DB: PubMed Journal: Neuroimage ISSN: 1053-8119 Impact factor: 6.556