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A Novel ~(18)F Labelled Imidazo-oxazolopyridine Derivative as β-Amyloid Imaging Agent: Synthesis and Preliminary Evaluation

机译:一种新型〜(18)F标记的咪唑 - 恶唑吡啶衍生物作为β-淀粉样成像剂:合成和初步评估

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摘要

Visualization of β-amyloid plaques in brain is pivotal for the diagnosis of Alzheimer's disease. In the present study, we have designed, synthesized and evaluated an imidazo-oxazolopyridine derivative, 2-[2-(4-fluorophenyl)imidazo[1,2-a]pyridine-6- yl]oxazolo[4,5-b]pyridine (FPIPOP) as a promising candidate for imaging of Aβ42 plaques using positron emission tomography (PET). Molecular docking of FPIPOP with Aβ42 fibrils predicted good affinity. The target compound was synthesized with high chemical yield and easily reproducible steps. In assays using thioflavin S as a competitive ligand, FPIPOP showed good affinity towards Aβ42 aggregates (Ki = 27.18 ± 4.7 nM). In PET experiments with normal Sprague dawley rat, high brain uptake and rapid clearance of activity was observed in cerebral cortex post i.v. injection (2.6 % ID/g for [~(18)F]FPIPOP at 1 min and 0.8 % ID/g at 60 min). [~(18)F]FPIPOP was found 76.4 % intact in brain for 60 min post injection. The ratio of radioactivity at maximal uptake to that at 60 min reached 20.5 for striatum, 26.4 for hippocampus and 33.1 for cerebellum. These results demonstrate that FPIPOP derivative has favourable in vivo brain pharmacokinetics and affinity for β-amyloid plaques; however, further optimization is required before pre-clinical evaluation of such skeletons in transgenic (Tg) mice models.
机译:脑内β-淀粉样斑块的可视化是诊断阿尔茨海默病的关键。在本研究中,我们设计了合成和评估了咪唑-恶唑吡啶衍生物,2- [2-(4-氟苯基)咪唑[1,2-A]吡啶-6-炔]恶唑[4,5-B]吡啶(FPIPOP)作为使用正电子发射断层扫描(PET)的Aβ42斑块成像的有希望的候选者。用Aβ42原纤维的Fpipop的分子对接预测良好的亲和力。靶化合物以高化学产率合成,易于可再现的步骤合成。在使用硫蛋白S作为竞争性配体的测定中,FPIPOP对Aβ42聚集体显示出良好的亲和力(Ki = 27.18±4.7nm)。在具有正常的Sprague Dawley大鼠的PET实验中,在脑皮质柱I.v中观察到高脑吸收和活性的快速清除。注射([〜(18)f] Fpipop在1分钟和60分钟的0.8%Id / g的2.6%Id / g)。 [〜(18)F] Fpipop在脑内发现76.4%,持续60分钟后注射后。最大摄取的放射性与60分钟的放射性比率达到20.5,用于纹状体,26.4用于海马和33.1个用于小脑。这些结果表明,Fpipop衍生物在体内脑药代动力学和对β-淀粉样蛋白斑块的亲和力有利;然而,在转基因(Tg)小鼠模型中的这种骨架的前临床评价之前需要进一步优化。

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