开发和优化大脑 IDO 抑制治疗阿尔茨海默病的目标参与模型。

Kurt R Stover, Paul M Stafford, Andreea C Damian, Jagadeesh P Pasangulapati, Jake Goodwin-Tindall, Lucía M López Vásquez, Sanghyun Lee, Seung-Pil Yang, Mark A Reed, Christopher J Barden, Donald F Weaver
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引用次数: 0

摘要

背景:吲哚胺2,3-二氧化酶(IDO1)抑制剂是一种很有前景的阿尔茨海默病(AD)疾病调节疗法靶点,它能够下调免疫病理神经炎症过程:为了帮助开发 IDO 抑制剂作为潜在的 AD 治疗药物,我们优化了基于脂多糖(LPS)的脑 IDO1 抑制小鼠模型,通过腹腔给药检测脑内犬尿氨酸:色氨酸(K:T)与 LPS 比值的剂量依赖性和时间过程:结果:我们确定了增加脑内IDO1活性的最佳LPS剂量,以及LPS给药后量化脑内K:T比率的理想时间点。然后,我们使用脑穿透工具化合物 EOS200271 验证了该模型,确定了最佳剂量曲线,并发现使用该工具化合物可以完全缓解 K:T 比率:这种基于 LPS 的 IDO1 靶点参与模型是一种有用的工具,可用于开发治疗 AD 的脑穿透性 IDO1 抑制剂。本研究的局限性在于缺乏对该模型中潜在的临床相关生物标志物的量化,这可以在今后的研究中加以解决。
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Development and Optimization of a Target Engagement Model of Brain IDO Inhibition for Alzheimer's Disease.

Background: Indoleamine 2,3-dioxygenase (IDO1) inhibition is a promising target as an Alzheimer's disease (AD) Disease-modifying therapy capable of downregulating immunopathic neuroinflammatory processes.

Methods: To aid in the development of IDO inhibitors as potential AD therapeutics, we optimized a lipopolysaccharide (LPS) based mouse model of brain IDO1 inhibition by examining the dosedependent and time-course of the brain kynurenine:tryptophan (K:T) ratio to LPS via intraperitoneal dosing.

Results: We determined the optimal LPS dose to increase IDO1 activity in the brain, and the ideal time point to quantify the brain K:T ratio after LPS administration. We then used a brain penetrant tool compound, EOS200271, to validate the model, determine the optimal dosing profile and found that a complete rescue of the K:T ratio was possible with the tool compound.

Conclusion: This LPS-based model of IDO1 target engagement is a useful tool that can be used in the development of brain penetrant IDO1 inhibitors for AD. A limitation of the present study is the lack of quantification of potential clinically relevant biomarkers in this model, which could be addressed in future studies.

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