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用于检测霍乱弧菌中抗菌药物耐药元件的环介导等温扩增检测法

Loop-mediated isothermal amplification assays for the detection of antimicrobial resistance elements in Vibrio cholera.

作者信息

Negrón Daniel Antonio, Trivedi Shipra, Tolli Nicholas, Ashford David, Melton Gabrielle, Guertin Stephanie, Jennings Katharine, Necciai Bryan D, Sozhamannan Shanmuga, Abramson Bradley W

机构信息

Noblis, Inc., 2002 Edmund Halley Dr, Reston, VA, 20191, USA.

Noblis ESI, 14425 Penrose Pl, Chantilly, VA, 20151, USA.

出版信息

BMC Bioinformatics. 2024 Dec 18;25(1):384. doi: 10.1186/s12859-024-06001-3.

Abstract

BACKGROUND

The bacterium Vibrio cholerae causes diarrheal illness and can acquire genetic material leading to multiple drug resistance (MDR). Rapid detection of resistance-conferring mobile genetic elements helps avoid the prescription of ineffective antibiotics for specific strains. Colorimetric loop-mediated isothermal amplification (LAMP) assays provide a rapid and cost-effective means for detection at point-of-care since they do not require specialized equipment, require limited expertise to perform, and can take less than 30 min to perform in resource limited regions. LAMP output is a color change that can be viewed by eye, but it can be difficult to design primer sets, determine target specificity, and interpret subjective color changes.

METHODS

We developed an algorithm for the in silico design and evaluation of LAMP assays within the open-source PCR Signature Erosion Tool (PSET) and a computer vision application for the quantitative analysis of colorimetric outputs. First, Primer3 calculates LAMP primer sequence candidates with settings based on GC-content optimization. Next, PSET aligns the primer sequences of each assay against large sequence databases to calculate sufficient sequence similarity, coverage, and primer arrangement to the intended taxa, ultimately generating a confusion matrix. Finally, we tested assay candidates in the laboratory against synthetic constructs.

RESULTS

As an example, we generated new LAMP assays targeting drug resistance in V. cholerae and evaluated existing ones from the literature based on in silico target specificity and in vitro testing. Improvements in the design and testing of LAMP assays, with heightened target specificity and a simple analysis platform, increase utility for in-field applications. Overall, 9 of the 16 tested LAMP assays had positive signal through visual and computer vision-based detection methods developed here. Here we show LAMP assays tested on synthetic AMR gene targets for aph(6), varG, floR, qnrVC5, and almG, which allow for resistance to aminoglycosides, penicillins, carbapenems, phenicols, fluoroquinolones, and polymyxins respectively.

摘要

背景

霍乱弧菌可引发腹泻疾病,并能获取导致多重耐药性(MDR)的遗传物质。快速检测赋予耐药性的可移动遗传元件有助于避免针对特定菌株开具无效抗生素。比色环介导等温扩增(LAMP)检测提供了一种快速且经济高效的即时检测手段,因为它们无需专门设备,执行所需专业知识有限,且在资源有限地区不到30分钟即可完成检测。LAMP的检测结果是肉眼可见的颜色变化,但设计引物组、确定靶标特异性以及解读主观的颜色变化可能存在困难。

方法

我们在开源的PCR特征侵蚀工具(PSET)中开发了一种用于LAMP检测的计算机辅助设计和评估算法,以及一个用于比色检测结果定量分析的计算机视觉应用程序。首先,Primer3根据GC含量优化设置计算LAMP引物序列候选物。接下来,PSET将每个检测的引物序列与大型序列数据库进行比对,以计算与预期分类群的足够序列相似性、覆盖率和引物排列,最终生成一个混淆矩阵。最后,我们在实验室中针对合成构建体测试了候选检测方法。

结果

例如,我们生成了针对霍乱弧菌耐药性的新LAMP检测方法,并根据计算机辅助的靶标特异性和体外测试评估了文献中的现有方法。LAMP检测方法在设计和测试方面的改进,提高了靶标特异性并简化了分析平台,增加了其在现场应用中的实用性。总体而言,16种测试的LAMP检测方法中有9种通过此处开发的基于视觉和计算机视觉的检测方法获得了阳性信号。在此我们展示了针对aph(6)、varG、floR、qnrVC5和almG的合成AMR基因靶标测试的LAMP检测方法,这些基因分别赋予对氨基糖苷类、青霉素类、碳青霉烯类、酚类、氟喹诺酮类和多粘菌素类的耐药性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b79/11657800/c30278debed1/12859_2024_6001_Fig1_HTML.jpg

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