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稳健的合成对照样本的制备及其在宏转录组临床检测中的应用。

Preparation of robust synthetic control samples and their use in a metatranscriptomic clinical test.

作者信息

Toma Ryan, Hu Lan, Banavar Guru, Vuyisich Momchilo

机构信息

Viome Research Institute, Viome Life Sciences, Inc., Seattle, WA, USA.

Viome Research Institute, Viome Life Sciences, Inc., New York, NY, USA.

出版信息

Sci Rep. 2025 Mar 24;15(1):10101. doi: 10.1038/s41598-025-95020-y.

Abstract

Metatranscriptomics (MT) has the potential to revolutionize the field of molecular diagnostics. Due to the complexity of MT diagnostic models, positive and negative control materials for specific disease indications can be difficult to obtain. Controls must often be sourced directly from patients. This introduces logistical burdens, assay variability, and limits high throughput clinical laboratory operations. To overcome this limitation, we developed a method for generating Synthetic Control (SC) samples, which duplicate the nucleic acid signature of complex clinical specimens and produce the desired test outcome. SCs can be easily and cost-effectively produced in large quantities (> 100,000 SCs per amplification cycle), enabling high throughput diagnostic testing. Here, we report the generation of Synthetic Positive Control (SPC) samples. SPCs were validated and implemented in a clinical laboratory. The SPCs produced robust positive signals (average OC risk score of 0.996) and high levels of reproducibility (%CV of 0.29%) in a high throughput automated CLIA laboratory. SCs are a novel and useful method for the generation of high quality controls for MT-based diagnostic tests, and their adoption could herald the widespread use of MT tests in molecular diagnostics.

摘要

宏转录组学(MT)有潜力彻底改变分子诊断领域。由于MT诊断模型的复杂性,针对特定疾病指征的阳性和阴性对照材料可能难以获得。对照通常必须直接从患者身上获取。这带来了后勤负担、检测变异性,并限制了高通量临床实验室操作。为克服这一限制,我们开发了一种生成合成对照(SC)样本的方法,该方法可复制复杂临床样本的核酸特征并产生所需的检测结果。SCs可以轻松且经济高效地大量生产(每个扩增周期>100,000个SCs),从而实现高通量诊断检测。在此,我们报告合成阳性对照(SPC)样本的生成。SPC在临床实验室中经过验证并得到应用。在高通量自动化CLIA实验室中,SPC产生了强劲的阳性信号(平均OC风险评分为0.996)和高水平的重现性(变异系数%为0.29%)。SCs是一种为基于MT的诊断测试生成高质量对照的新颖且有用的方法,采用它们可能预示着MT测试在分子诊断中的广泛应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/148d/11933260/245ede73b70e/41598_2025_95020_Fig1_HTML.jpg

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