Whole-body biodistribution of the cannabinoid type 1 receptor ligand [18F]MK-9470 in the rat
Whole-body biodistribution of the cannabinoid type 1 receptor ligand [18F]MK-9470 in the rat
复制标题
DOI:
10.1016/j.nucmedbio.2017.06.003
复制
发表时间:
2017-09-01
影响因子:
3.1
通讯作者:
Miederer, I.
中科院分区:
文献类型:
--
作者:
Buchholz, H. G.;Uebbing, K.;Miederer, I.
The endocannabinoid system participates in many processes in the body, including memory, reward, pain, motor activity, food intake, energy metabolism, and gastrointestinal functions. [F-18]MK-9470 is a positron emission tomography (PET) ligand that binds with high affinity and selectivity to the cannabinoid type 1 receptor. In order to fully characterize ligand behavior, tracer uptake measured using in vivo microPET was compared with results from ex vivo tissue dissection.Twelve male Sprague-Dawley rats were divided into three subgroups and scanned over time periods of 10 min, 30 min and 90 min using PET. Afterwards, a number of the animals' organs were dissected. Uptake of radioactivity was expressed in terms of %1D/ml and %ID/(g tissue). For comparison of in vivo and ex vivo methods, Bland Altman plots were computed.The highest uptake of [F-18]MK-9470 was found in the liver and small intestine; the brain showed less uptake, while low and unspecific binding was observed in tissue of the heart, lung, kidney and bone. In the brain, normalized uptake of [F-18]MK-9470 was on average 0.25%ID/ml (range: 0.16 to 0.28%ID/ml). Bland-Altman plots revealed the best agreement between methods for the 90 min acquisition protocols.High hepatic accumulation and metabolism of [F-18]MK-9470 occur with mainly enteral excretion, which may vary considerably over time a finding which may be of relevance in metabolite determination in quantitative brain studies. Comparisons between in vivo and ex vivo methods showed that whole-body distribution of [F-18]MK-9470 using positron emission tomography is a preferable alternative to ex vivo biodistribution, and requires a significantly smaller number of animals. (C) 2017 Elsevier Inc. All rights reserved.