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

基因组 生物信息学 胎儿游离DNA 败血症 DNA测序 生物 计算生物学 医学 生物信息学 DNA 免疫学 遗传学 基因 胎儿 产前诊断 怀孕
作者
Timothy A. Blauwkamp,Simone A. Thair,Michael Rosen,Lily Blair,Martin Lindner,Igor D. Vilfan,Trupti Kawli,Fred C. Christians,Shivkumar Venkatasubrahmanyam,Gregory D. Wall,Anita Cheung,Zoe Rogers,Galit Meshulam-Simon,Liza Huijse,Sanjeev Balakrishnan,James Quinn,Desiree Hollemon,David K. Hong,Marla Lay Vaughn,Mickey Kertesz
出处
期刊:Nature microbiology [Nature Portfolio]
卷期号:4 (4): 663-674 被引量:987
标识
DOI:10.1038/s41564-018-0349-6
摘要

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.
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