非靶向蛋白质组学实现了线粒体和其他罕见疾病变异的超快速优先排序

Daniella H Hock, Nikeisha J Caruana, Liana N Semcesen, Nicole J Lake, Luke E Formosa, Sumudu SC Amarasekera, Tegan Stait, Simone Tregoning, Leah E Frajman, David RL Robinson, Megan Ball, Boris Reljic, Bryony Ryder, Mathew J Wallis, Anand Vasudevan, Cara Beck, Heidi Peters, Joy Lee, MitoMDT Diagnostic Network for Genomics and Omics, Vasiliki Karlaftis, Chantal Attard, Paul Monagle, Amanda Samarasinghe, Rosie Brown, Weimin Bi, Monkol Lek, Robert McFarland, Robert W Taylor, Michael T Ryan, Zornitza Stark, John Christodoulou, Alison G Compton, David R Thorburn, David A Stroud
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引用次数: 0

摘要

只有一半的疑似罕见病患者能在基因组检测后得到明确的基因诊断。基因诊断可以为患者提供适当的治疗,减少可能不必要的干预和相关医疗费用。在这里,我们证明了一种非靶向定量质谱方法,对原代成纤维细胞中代表 80% 的已知线粒体疾病基因的 6000 个蛋白质进行定量分析,可以为已知原发性线粒体疾病队列中 88% 的个体提供功能证据。我们对 90 人进行了分析,其中 28 人确诊患病,6 人确诊核基因和线粒体基因均存在变异。最后,我们利用微创外周血单核细胞开发了超快速蛋白质组学管道,支持在短短 54 小时内升级疑似线粒体疾病重症婴儿的变体致病性。这项研究支持将单一非靶向蛋白质组学检测纳入常规诊断实践,以便在临床可操作的时限内诊断罕见遗传疾病,为遗传变异的功能验证提供了范式转变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Untargeted proteomics enables ultra-rapid variant prioritization in mitochondrial and other rare diseases
Only half of individuals with suspected rare diseases receive a definitive genetic diagnosis following genomic testing. A genetic diagnosis allows access to appropriate patient care and reduces the number of potentially unnecessary interventions and related healthcare costs. Here, we demonstrate that an untargeted quantitative mass-spectrometry approach quantifying >6,000 proteins in primary fibroblasts representing >80% of known mitochondrial disease genes can provide functional evidence for 88% of individuals in a cohort of known primary mitochondrial diseases. We profiled >90 individuals, including 28 with confirmed disease and diagnosed 6 individuals with variants in both nuclear and mitochondrial genes. Lastly, we developed an ultra-rapid proteomics pipeline using minimally invasive peripheral blood mononuclear cells to support upgrade of variant pathogenicity in as little as 54 hours in critically ill infants with suspected mitochondrial disorders. This study supports the integration of a single untargeted proteomics test into routine diagnostic practice for the diagnosis of rare genetic disorders in clinically actionable timelines, offering a paradigm shift for the functional validation of genetic variants.
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