Enzyme-Accelerated Catalytic DNA Circuits Enable Rapid and One-pot Detection of Bacterial Pathogens

Author:

Li Baolin1,Jiang Hui2,Luo Sijian2,Zeng Zhangrui2,Xu Xuejing2,Li Xinyu3,Zhang Songzhi3,Chen Yirong3,Ding Shijia3,Li Xinmin4,Liu Jinbo2,Chen Wei1

Affiliation:

1. School of Medicine, Xi’an Jiaotong University

2. Department of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University

3. Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University

4. Department of Laboratory Medicine, Chongqing Hospital of Traditional Chinese Medicine

Abstract

Abstract

Catalytic DNA circuits, serving as signal amplification strategies, can enable simple and accurate detection of pathogenic bacteria in complex matrices but suffer from low reaction rates and depths. Herein, we design an enzyme-accelerated catalytic hairpin assembly (EACHA) in which duplex DNA products are converted into hairpin reactants to continue participating in the next circuit reaction with the assistance of RNase H. Profiting from the high recyclability of the reactants, EACHA exhibits an approximately 37.6-fold enhancement in the rate constant and a two-order-of-magnitude improvement in sensitivity compared to conventional catalytic hairpin assembly (CHA). By integrating an allosteric probe with EACHA, a one-pot method is developed for rapid and direct detection of S. enterica Enteritidis. This method is capable of detecting 15 CFU mL− 1 of S. Enteritidis within 20 min, which is superior to that of real-time PCR. By testing 60 milk samples, we demonstrate this method's high accuracy in discriminating contaminated samples, with an area under the curve (AUC) of 0.997. Moreover, this method can be employed to accurately diagnose early-stage infected mice, with an AUC of 1.00 for feces samples and 0.986 for serum samples. Therefore, this study offers a simple and feasible method for identifying pathogens in complex matrices.

Publisher

Springer Science and Business Media LLC

Reference44 articles.

1. Global trends in emerging infectious diseases;Jones KE;Nature,2008

2. Clinical Characteristics and Drug Resistance Analysis of 90 Cases of Children with Salmonella Enteritis;Wang Y;Comput Math Methods Med,2022

3. Salmonella Serotypes: A Novel Measure of Association with Foodborne Transmission;Luvsansharav UO;Foodborne Pathog Dis,2020

4. Rates of antibiotic resistance/sensitivity in bacterial cultures of hidradenitis suppurativa patients;Bettoli V;J Eur Acad Dermatol Venereol,2019

5. Hierarchical AI enables global interpretation of culture plates in the era of digital microbiology;Signoroni A;Nat Commun,2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3