O'Brien Thomas J, Barlow Ida L, Feriani Luigi, Brown André E X
Institute of Clinical Sciences, Imperial College London, London, United Kingdom.
MRC London Institute of Medical Sciences, London, United Kingdom.
Elife. 2025 Jan 8;12:RP92491. doi: 10.7554/eLife.92491.
There are thousands of Mendelian diseases with more being discovered weekly and the majority have no approved treatments. To address this need, we require scalable approaches that are relatively inexpensive compared to traditional drug development. In the absence of a validated drug target, phenotypic screening in model organisms provides a route for identifying candidate treatments. Success requires a screenable phenotype. However, the right phenotype and assay may not be obvious for pleiotropic neuromuscular disorders. Here, we show that high-throughput imaging and quantitative phenotyping can be conducted systematically on a panel of disease model strains. We used CRISPR genome-editing to create 25 worm models of human Mendelian diseases and phenotyped them using a single standardised assay. All but two strains were significantly different from wild-type controls in at least one feature. The observed phenotypes were diverse, but mutations of genes predicted to have related functions led to similar behavioural differences in worms. As a proof-of-concept, we performed a drug repurposing screen of an FDA-approved compound library, and identified two compounds that rescued the behavioural phenotype of a model of UNC80 deficiency. Our results show that a single assay to measure multiple phenotypes can be applied systematically to diverse Mendelian disease models. The relatively short time and low cost associated with creating and phenotyping multiple strains suggest that high-throughput worm tracking could provide a scalable approach to drug repurposing commensurate with the number of Mendelian diseases.
有成千上万种孟德尔疾病,而且每周都有更多的疾病被发现,其中大多数疾病尚无获批的治疗方法。为满足这一需求,我们需要可扩展的方法,与传统药物研发相比,这些方法成本相对较低。在缺乏经过验证的药物靶点的情况下,在模式生物中进行表型筛选为识别候选治疗方法提供了一条途径。成功需要一个可筛选的表型。然而,对于多效性神经肌肉疾病来说,正确的表型和检测方法可能并不明显。在这里,我们表明可以对一组疾病模型菌株系统地进行高通量成像和定量表型分析。我们使用CRISPR基因组编辑技术创建了25种人类孟德尔疾病的线虫模型,并使用单一标准化检测方法对它们进行了表型分析。除了两个菌株外,所有菌株在至少一个特征上与野生型对照有显著差异。观察到的表型多种多样,但预测具有相关功能的基因突变会导致线虫出现相似的行为差异。作为概念验证,我们对一个FDA批准的化合物库进行了药物重新利用筛选,并鉴定出两种化合物,它们挽救了UNC80缺陷模型的行为表型。我们的结果表明,一种测量多种表型的单一检测方法可以系统地应用于各种孟德尔疾病模型。创建和分析多个菌株相关的时间相对较短且成本较低,这表明高通量线虫追踪可以提供一种与孟德尔疾病数量相称的可扩展的药物重新利用方法。