无需培养和扩增的纳米孔测序技术用于快速检测尿液中的病原体和抗菌药耐药性基因

IF 3.7 3区 医学 Q2 INFECTIOUS DISEASES
Anurag Basavaraj Bellankimath, Crystal Chapagain, Sverre Branders, Jawad Ali, Robert C Wilson, Truls E. Bjerklund Johansen, Rafi Ahmad
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引用次数: 0

摘要

目的泌尿道感染(UTI)是全球发病率最高的感染之一。每年,全球约有 1.5 亿人被诊断为UTI。本研究首先建立了一种基于光密度培养的方法,在健康尿液样本中添加六种最常见的尿路病原体。尿液样本的临床意义浓度为 103-105 CFU/ml。根据 DNA 产量、平均处理时间、洗脱量和每次提取的平均成本,对三种 DNA 提取试剂盒(BioStic、PowerFood 和血液与组织)进行了研究。提取 DNA 后,使用 MinION 和 Flongle 流式细胞对样本进行测序。使用纳米孔测序法,只有在尖峰浓度为 105 CFU/ml 时才能鉴定出所有病原体和相应基因,这分别是在测序 10 分钟和 3 小时后实现的。不过,一些病原体和抗生素耐药基因(ARG)可以从 103 菌落总数单位(CFU/ml)的尖峰浓度中鉴定出来。从样本制备到基于测序鉴定病原体 ID 和抗生素耐药基因,总体周转时间为 5 小时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Culture and amplification-free nanopore sequencing for rapid detection of pathogens and antimicrobial resistance genes from urine

Culture and amplification-free nanopore sequencing for rapid detection of pathogens and antimicrobial resistance genes from urine

Purpose

Urinary Tract Infections (UTIs) are among the most prevalent infections globally. Every year, approximately 150 million people are diagnosed with UTIs worldwide. The current state-of-the-art diagnostic methods are culture-based and have a turnaround time of 2–4 days for pathogen identification and susceptibility testing.

Methods

This study first establishes an optical density culture-based method for spiking healthy urine samples with the six most prevalent uropathogens. Urine samples were spiked at clinically significant concentrations of 103-105 CFU/ml. Three DNA extraction kits (BioStic, PowerFood, and Blood and Tissue) were investigated based on the DNA yield, average processing time, elution volume, and the average cost incurred per extraction. After DNA extraction, the samples were sequenced using MinION and Flongle flow cells.

Results

The Blood and Tissue kit outperformed the other kits based on the investigated parameters. Using nanopore sequencing, all the pathogens and corresponding genes were only identified at a spike concentration of 105 CFU/ml, achieved after 10 min and 3 hours of sequencing, respectively. However, some pathogens and antibiotic-resistance genes (ARG) could be identified from spikes at 103 colony formation units (CFU/mL). The overall turnaround time was five hours, from sample preparation to sequencing-based identification of pathogen ID and antimicrobial resistance genes.

Conclusion

This study demonstrates excellent promise in reducing the time required for informed antibiotic administration from 48 to 72 h to five hours, thereby reducing the number of empirical doses and increasing the chance of saving lives.

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来源期刊
CiteScore
10.40
自引率
2.20%
发文量
138
审稿时长
1 months
期刊介绍: EJCMID is an interdisciplinary journal devoted to the publication of communications on infectious diseases of bacterial, viral and parasitic origin.
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