Tritium-Labeled Compounds in PET Tracer Discovery? A Case Study from Roche’s Internal Monoacylglycerol Lipase Program

IF 3.9 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Martin R. Edelmann*, , , Luca C. Gobbi*, , , Svenja Schmalzbauer, , , Jennifer Beck, , , Mathias C. Müller, , , Jean-Christophe Hau, , , Sylwia Huber, , , Achi Haider, , , Matthias B. Wittwer, , , Anto Pavlovic, , , Ludovic Collin, , , Dominik Heer, , , Andreas Topp, , , Lea Leibrock-Thielen, , , Jörg Benz, , , Manuel Hilbert, , , Michael Honer, , and , Uwe Grether, 
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引用次数: 0

Abstract

The discovery and development of PET tracers is a complex and costly process requiring direct access to 11C or 18F, radiochemistry infrastructure, as well as an imaging facility equipped with PET tomographs. In the absence of access to a fully equipped PET center facility, a valid alternative for the selection of promising PET tracer candidates is the use of tritium as a surrogate radioisotope in the early stages of development. Tritium-labeled compounds enable detailed binding or displacement assays on tissues and ex vivo radioligand performance assessments, such as rodent experiments, while offering unique advantages including a long half-life and superior spatial resolution. Furthermore, the radiation safety requirements for handling tritium-labeled compounds are less stringent compared with those needed for working with short-lived PET nuclides, such as 11C or 18F, due to the lower energy emissions of tritium. Candidates are selected based on critical attributes, including low half-maximal inhibitory concentration (IC50), brain penetration, and binding to target proteins, ensuring optimal properties for PET imaging. This approach minimizes reliance on a specialized infrastructure while accelerating the identification and optimization of radioligand candidates. As an example, to illustrate this workflow using tritiated compounds, an internal program targeting monoacylglycerol lipase (MAGL) in the CNS is presented. From a pool of 617 in-house MAGL inhibitors, five compounds were selected for tritium labeling and evaluated alongside literature-reported PET tracers. Among the newly synthesized ligands, compound 9 demonstrated a favorable pharmacological profile, while autoradiography experiments highlighted superior properties in the chemotype of T-401, originating from the literature. This study reports on the synthesis and characterization of tritium-labeled MAGL ligands as critical steps in PET tracer development. Promising candidates identified in this workflow will subsequently be handed over to PET centers for further evaluation in imaging applications, bridging preclinical research with clinical translation.

Abstract Image

PET示踪剂中氚标记化合物的发现?罗氏内部单酰基甘油脂肪酶项目的案例研究。
PET示踪剂的发现和开发是一个复杂而昂贵的过程,需要直接进入11摄氏度或18华氏度的放射化学基础设施,以及配备PET层析成像的成像设施。在没有设备齐全的PET中心设施的情况下,选择有前途的PET示踪剂候选物的有效替代方案是在开发的早期阶段使用氚作为替代放射性同位素。氚标记的化合物可以在组织上进行详细的结合或位移分析,并进行离体放射性配体性能评估,如啮齿动物实验,同时具有独特的优势,包括长半衰期和优越的空间分辨率。此外,由于氚的能量释放较低,处理氚标记化合物的辐射安全要求与处理短寿命PET核素(如11C或18F)所需的辐射安全要求相比不那么严格。候选材料的选择基于关键属性,包括低半最大抑制浓度(IC50)、脑穿透性和与靶蛋白的结合,以确保PET成像的最佳性能。这种方法最大限度地减少了对专门基础设施的依赖,同时加速了候选放射配体的识别和优化。作为一个例子,为了说明使用氚化化合物的工作流程,介绍了针对CNS中单酰基甘油脂肪酶(MAGL)的内部程序。从617种内部MAGL抑制剂中,选择了5种化合物进行氚标记,并与文献报道的PET示踪剂一起进行评估。在新合成的配体中,化合物9表现出良好的药理学特征,而放射自显影实验则显示了T-401化学型的优越特性,这源于文献。本研究报道了氚标记的MAGL配体的合成和表征是PET示踪剂开发的关键步骤。在此工作流程中确定的有前途的候选人随后将移交给PET中心进行进一步的成像应用评估,将临床前研究与临床转化联系起来。
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来源期刊
ACS Chemical Neuroscience
ACS Chemical Neuroscience BIOCHEMISTRY & MOLECULAR BIOLOGY-CHEMISTRY, MEDICINAL
CiteScore
9.20
自引率
4.00%
发文量
323
审稿时长
1 months
期刊介绍: ACS Chemical Neuroscience publishes high-quality research articles and reviews that showcase chemical, quantitative biological, biophysical and bioengineering approaches to the understanding of the nervous system and to the development of new treatments for neurological disorders. Research in the journal focuses on aspects of chemical neurobiology and bio-neurochemistry such as the following: Neurotransmitters and receptors Neuropharmaceuticals and therapeutics Neural development—Plasticity, and degeneration Chemical, physical, and computational methods in neuroscience Neuronal diseases—basis, detection, and treatment Mechanism of aging, learning, memory and behavior Pain and sensory processing Neurotoxins Neuroscience-inspired bioengineering Development of methods in chemical neurobiology Neuroimaging agents and technologies Animal models for central nervous system diseases Behavioral research
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