Target-enriched sequencing enables accurate identification of bloodstream infections in whole blood

生物 病菌 DNA提取 微生物学 抗药性 抗生素耐药性 聚合酶链反应 金标准(测试) 临床微生物学 基因组DNA 核酸 血培养 计算生物学 DNA 基因 抗生素 遗传学 医学 内科学
作者
Qian Li,Wenhua Huang,Shengwei Zhang,Yuling Zheng,Qingyu Lv,Decong Kong,Lei Zhang,Yan Zhang,Zhihu Zhao,Miaoyu Wang,Hua Jiang,Peng Liu,Yongqiang Jiang
出处
期刊:Journal of Microbiological Methods [Elsevier BV]
卷期号:192: 106391-106391 被引量:3
标识
DOI:10.1016/j.mimet.2021.106391
摘要

Bloodstream infections are within the top ten causes of death globally, with a mortality rate of up to 70%. Gold standard blood culture testing is time-consuming, resulting in delayed, but accurate, treatment. Molecular methods, such as RT-qPCR, have limited targets in one run. We present a new Ampliseq detection system (ADS) combining target amplification and next-generation sequencing for accurate identification of bacteria, fungi, and antimicrobial resistance determinants directly from blood samples. In this study, we included removal of human genomic DNA during nucleic acid extraction, optimized the target sequence set and drug resistance genes, performed antimicrobial resistance profiling of clinical isolates, and evaluated mock specimens and clinical samples by ADS. ADS successfully identified pathogens at the species-level in 36 h, from nucleic acid extraction to results. Besides pathogen identification, ADS can also present drug resistance profiles. ADS enabled detection of all bacteria and accurate identification of 47 pathogens. In 20 spiked samples and 8 clinical specimens, ADS detected at least 92.81% of reads mapped to pathogens. ADS also showed consistency with the three culture-negative samples, and correctly identified pathogens in four of five culture-positive clinical blood specimens. This Ampliseq-based technology promises broad coverage and accurate pathogen identification, helping clinicians to accurately diagnose and treat bloodstream infections.
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