Comprehensive pathogen identification and antimicrobial resistance prediction from positive blood cultures using nanopore sequencing technology.

IF 10.4 1区 生物学 Q1 GENETICS & HEREDITY
Po-Yu Liu, Han-Chieh Wu, Ying-Lan Li, Hung-Wei Cheng, Ci-Hong Liou, Feng-Jui Chen, Yu-Chieh Liao
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引用次数: 0

Abstract

Background: Blood cultures are essential for diagnosing bloodstream infections, but current phenotypic tests for antimicrobial resistance (AMR) provide limited information. Oxford Nanopore Technologies introduces nanopore sequencing with adaptive sampling, capable of real-time host genome depletion, yet its application directly from blood cultures remains unexplored. This study aimed to identify pathogens and predict AMR using nanopore sequencing.

Methods: In this cross-sectional genomic study, 458 positive blood cultures from bloodstream infection patients in central Taiwan were analyzed. Parallel experiments involved routine microbiologic tests and nanopore sequencing with a 15-h run. A bioinformatic pipeline was proposed to analyze the real-time sequencing reads. Subsequently, a comparative analysis was performed to evaluate the performance of species identification and AMR prediction.

Results: The pipeline identified 76 species, with 88 Escherichia coli, 74 Klebsiella pneumoniae, 43 Staphylococcus aureus, and 9 Candida samples. Novel species were also discovered. Notably, precise species identification was achieved not only for monomicrobial infections but also for polymicrobial infections, which was detected in 23 samples and further confirmed by full-length 16S rRNA amplicon sequencing. Using a modified ResFinder database, AMR predictions showed a categorical agreement rate exceeding 90% (3799/4195) for monomicrobial infections, with minimal very major errors observed for K. pneumoniae (2/186, 1.1%) and S. aureus (1/90, 1.1%).

Conclusions: Nanopore sequencing with adaptive sampling can directly analyze positive blood cultures, facilitating pathogen detection, AMR prediction, and outbreak investigation. Integrating nanopore sequencing into clinical practices signifies a revolutionary advancement in managing bloodstream infections, offering an effective antimicrobial stewardship strategy, and improving patient outcomes.

利用纳米孔测序技术从阳性血培养中进行综合病原体鉴定和抗菌素耐药性预测。
背景:血液培养对诊断血流感染至关重要,但目前抗微生物药物耐药性(AMR)的表型检测提供的信息有限。牛津纳米孔技术引入了具有自适应采样的纳米孔测序,能够实时耗尽宿主基因组,但其直接从血液培养物中应用仍未探索。本研究旨在利用纳米孔测序技术鉴定病原菌并预测抗菌素耐药性。方法:采用横断面基因组学研究,分析台湾中部地区458例血液感染患者的阳性血培养。平行实验包括常规微生物学测试和纳米孔测序,运行15小时。提出了一个生物信息学管道来分析实时测序读数。随后,对物种鉴定和AMR预测进行了比较分析。结果:共鉴定出76种,其中大肠杆菌88种,肺炎克雷伯菌74种,金黄色葡萄球菌43种,念珠菌9种。新物种也被发现。值得注意的是,不仅对单微生物感染,而且对多微生物感染也实现了精确的物种鉴定,在23个样本中检测到多微生物感染,并通过全长16S rRNA扩增子测序进一步证实。使用改进的ResFinder数据库,AMR预测显示单菌感染的分类一致性率超过90%(3799/4195),肺炎克雷勃菌(2/186,1.1%)和金黄色葡萄球菌(1/90,1.1%)的非常严重错误最小。结论:采用自适应采样的纳米孔测序技术可直接分析阳性血培养物,便于病原菌检测、抗菌素耐药性预测和疫情调查。将纳米孔测序整合到临床实践中意味着血液感染管理的革命性进步,提供了有效的抗菌管理策略,并改善了患者的预后。
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来源期刊
Genome Medicine
Genome Medicine GENETICS & HEREDITY-
CiteScore
20.80
自引率
0.80%
发文量
128
审稿时长
6-12 weeks
期刊介绍: Genome Medicine is an open access journal that publishes outstanding research applying genetics, genomics, and multi-omics to understand, diagnose, and treat disease. Bridging basic science and clinical research, it covers areas such as cancer genomics, immuno-oncology, immunogenomics, infectious disease, microbiome, neurogenomics, systems medicine, clinical genomics, gene therapies, precision medicine, and clinical trials. The journal publishes original research, methods, software, and reviews to serve authors and promote broad interest and importance in the field.
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