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微生物无细胞 DNA 测序检测用于感染性疾病的分析和临床验证。

Analytical and clinical validation of a microbial cell-free DNA sequencing test for infectious disease.

机构信息

Karius, Inc., Redwood City, CA, USA.

Department of Emergency Medicine, Stanford University, Palo Alto, CA, USA.

出版信息

Nat Microbiol. 2019 Apr;4(4):663-674. doi: 10.1038/s41564-018-0349-6. Epub 2019 Feb 11.

Abstract

Thousands of pathogens are known to infect humans, but only a fraction are readily identifiable using current diagnostic methods. Microbial cell-free DNA sequencing offers the potential to non-invasively identify a wide range of infections throughout the body, but the challenges of clinical-grade metagenomic testing must be addressed. Here we describe the analytical and clinical validation of a next-generation sequencing test that identifies and quantifies microbial cell-free DNA in plasma from 1,250 clinically relevant bacteria, DNA viruses, fungi and eukaryotic parasites. Test accuracy, precision, bias and robustness to a number of metagenomics-specific challenges were determined using a panel of 13 microorganisms that model key determinants of performance in 358 contrived plasma samples, as well as 2,625 infections simulated in silico and 580 clinical study samples. The test showed 93.7% agreement with blood culture in a cohort of 350 patients with a sepsis alert and identified an independently adjudicated cause of the sepsis alert more often than all of the microbiological testing combined (169 aetiological determinations versus 132). Among the 166 samples adjudicated to have no sepsis aetiology identified by any of the tested methods, sequencing identified microbial cell-free DNA in 62, likely derived from commensal organisms and incidental findings unrelated to the sepsis alert. Analysis of the first 2,000 patient samples tested in the CLIA laboratory showed that more than 85% of results were delivered the day after sample receipt, with 53.7% of reports identifying one or more microorganisms.

摘要

已知有数千种病原体可感染人类,但目前的诊断方法只能轻易识别其中一部分。微生物无细胞游离 DNA 测序有可能非侵入性地识别全身范围内的广泛感染,但必须解决临床级宏基因组检测的挑战。在这里,我们描述了一种下一代测序测试的分析和临床验证,该测试可识别和定量血浆中的微生物无细胞游离 DNA,涵盖了 1250 种临床相关的细菌、DNA 病毒、真菌和真核寄生虫。使用模拟性能的关键决定因素的 13 种微生物的小组对测试的准确性、精密度、偏差和对多种宏基因组学特定挑战的稳健性进行了评估,这些决定因素包含在 358 个模拟血浆样本中,以及 2625 个模拟感染和 580 个临床研究样本中。该测试在 350 名脓毒症警报患者的队列中与血液培养的一致性达到 93.7%,并且比所有微生物学检测的总和更频繁地确定脓毒症警报的独立裁决病因(169 个病因确定与 132 个相比)。在通过任何测试方法均被裁决为无脓毒症病因的 166 个样本中,测序在 62 个样本中识别出微生物无细胞游离 DNA,这些 DNA 可能来自共生生物,与脓毒症警报无关的偶然发现。在 CLIA 实验室测试的前 2000 个患者样本的分析表明,超过 85%的结果在样本接收后的第二天提供,其中 53.7%的报告确定了一种或多种微生物。

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