A high throughput drug screening paradigm using transgenic Caenorhabditis elegans model of Alzheimer’s disease

Q2 Medicine
Emelyne Teo , Soon Yew John Lim , Sheng Fong , Anis Larbi , Graham D. Wright , Nicholas Tolwinski , Jan Gruber
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引用次数: 5

Abstract

Alzheimer’s disease (AD), characterized by memory loss and cognitive decline, is one of the diseases with the highest attrition rate in drug development. As with other neurodegenerative diseases, AD manifests on several scales (molecular, cellular and organismal), resulting in an organismal phenotype that is difficult to replicate and exploit for screening in vitro. Development of high-throughput drug screening platforms using invertebrate organisms may therefore facilitate drug discovery in AD, at least for compounds that target mechanisms that can be modelled in invertebrates, such as metabolic defects and mitochondrial toxicity. Here we present a potentially high-throughput screening platform against AD in Caenorhabditis elegans (C. elegans). The system is based on our transgenic AD model strain (GRU102) that expresses a pathogenic human amyloid-beta peptide (Aβ1-42) specifically in neurons and we use this approach to identify Metformin, Lithium and Curcumin as potential “hits”. We find that the ability to rescue the swim-exhaustion phenotype correlates well with lifespan and healthspan improvements in GRU102. Importantly, several other drugs, such as Thioflavin T that have been reported previously to extend lifespan, modify aspects of ageing or for which protective effects in AD model might be suspected did not rescue the swim performance nor lifespan of GRU102. This illustrates the predictive value of the screening assay and confirms that not all compounds targeting ageing are capable of compensating for the toxic effects of Aβ1-42 in GRU102. Together, these findings demonstrate the utility of our screen towards the Aβ-induced defects in GRU102.

利用转基因秀丽隐杆线虫模型对阿尔茨海默病进行高通量药物筛选
阿尔茨海默病(Alzheimer’s disease, AD)是药物开发中磨耗率最高的疾病之一,以记忆丧失和认知能力下降为特征。与其他神经退行性疾病一样,阿尔茨海默病表现在几个尺度上(分子、细胞和生物体),导致难以复制和利用体外筛选的生物体表型。因此,利用无脊椎动物生物开发高通量药物筛选平台可能会促进阿尔茨海默病药物的发现,至少对于可以在无脊椎动物中模拟的机制的化合物,如代谢缺陷和线粒体毒性。在这里,我们提出了一个潜在的高通量筛选平台针对秀丽隐杆线虫(秀丽隐杆线虫)AD。该系统基于我们的转基因AD模型菌株(GRU102),该菌株在神经元中特异性表达致病性人淀粉样蛋白- β肽(a β1-42),我们使用这种方法识别二甲双胍,锂和姜黄素作为潜在的“攻击”。我们发现挽救游泳衰竭表型的能力与GRU102的寿命和健康寿命改善密切相关。重要的是,其他一些药物,如先前报道的延长寿命,改变衰老方面或在AD模型中可能被怀疑具有保护作用的药物,并没有挽救GRU102的游泳表现和寿命。这说明了筛选试验的预测价值,并证实并非所有靶向衰老的化合物都能够补偿GRU102中Aβ1-42的毒性作用。总之,这些发现证明了我们的筛选对a β诱导的GRU102缺陷的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Translational Medicine of Aging
Translational Medicine of Aging Medicine-Geriatrics and Gerontology
CiteScore
5.30
自引率
0.00%
发文量
2
审稿时长
103 days
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