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Tang Q, Li Z, Li J, Chen H, Yan H, Deng J, Liu L. PCR-Free, Label-Free, and Centrifugation-Free Diagnosis of Multiplex Antibiotic Resistance Genes by Combining mDNA-Au@Fe 3O 4 from Heating Dry and DNA Concatamers with G-Triplex. Anal Chem 2024; 96:292-300. [PMID: 38141016 DOI: 10.1021/acs.analchem.3c04060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2023]
Abstract
Accurate identification of antibiotic resistance genes (ARGs) is crucial for improving treatment and controlling the spread of antibiotic-resistant bacteria (ARB). Herein, a novel PCR-free, centrifugation-free, and label-free magnetic fluorescent biosensor (MFB) was developed by combining polyA-medium DNA-polyT (mDNA, which contained a partial sequence of a target DNA), gold nanoparticle (AuNP)-anchored magnetic nanoparticle (Au@Fe3O4), complementary strand DNA (CS) of the target DNA, DNA concatamer with G-triplex (G3), and thioflavin T (ThT). Thereinto, Au@Fe3O4 nanoparticles were first capped by mDNA strands within 20 min using a simple hot drying method, and then CS was added and hybridized with mDNA on Au@Fe3O4. Second, a DNA concatamer was used to bind with CS on Au@Fe3O4. When an ARG was present in the sample, the CS would recognize it and release the DNA concatamer into solution by a toehold-mediated strand displacement reaction. Finally, under magnetic separation, the free DNA concatamers with G3 were taken out easily and bound with ThT, resulting in strong fluorescence signals. The fluorescence intensity of ThT was positively correlated with the concentration of the ARG. The whole analysis was accomplished within 1.5 h using 96-well plates. Remarkably, our MFB was universal; eight ARGs were detected by replacing the corresponding mDNA and CS in this study. To verify the practicability of our method, 12 clinically isolated strains were analyzed. The results of the MFB method were in good agreement with those of the quantitative real-time PCR method with an area under the curve of 0.92 (95% confidence interval: 0.8479 to 0.9932), sensitivity of 92.00%, and specificity of 91.55%. Above all, the MFB assay established here is simple, low-cost, and universal and has great potential for applications in the identification of ARGs.
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Affiliation(s)
- Qing Tang
- NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Zhijie Li
- NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Jincheng Li
- NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Hanren Chen
- NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Hong Yan
- NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Jieqi Deng
- NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Lihong Liu
- NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
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Zhuang Q, Guo H, Peng T, Ding E, Zhao H, Liu Q, He S, Zhao G. Advances in the detection of β-lactamase: A review. Int J Biol Macromol 2023; 251:126159. [PMID: 37549760 DOI: 10.1016/j.ijbiomac.2023.126159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 07/17/2023] [Accepted: 08/04/2023] [Indexed: 08/09/2023]
Abstract
β-lactamase, an enzyme secreted by bacteria, is the main resistant mechanism of Gram-negative bacteria to β-lactam antibiotics. The resistance of bacteria to β-lactam antibiotics can be evaluated by testing the activity of β-lactamase. Traditional phenotypic detection is a golden principle, but it is time-consuming. In recent years, many new methods have emerged, which improve the efficiency by virtue of their sensitivity, low cost, easy operation, and other advantages. In this paper, we systematically review these researches and emphasize their limits of detection, sample operation, and test duration. Noteworthily, some detection systems can identify the β-lactamase subtype conveniently. We mainly divide these tests into three categories to elaborate their characteristics and application status. Both advantages and disadvantages of these methods are discussed. Additionally, we analyze the recent 5 years published researches to predict the trend of development in this field.
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Affiliation(s)
- Qian Zhuang
- Department of Biochemistry and Molecular Biology, China Medical University, Shenyang, Liaoning 110122, China; Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110122, China
| | - Huijun Guo
- General Party Branch of the Second Clinical Department, China Medical University, Shenyang, Liaoning 110122, China
| | - Tian Peng
- General Party Branch of the Second Clinical Department, China Medical University, Shenyang, Liaoning 110122, China
| | - Enjie Ding
- General Party Branch of the Second Clinical Department, China Medical University, Shenyang, Liaoning 110122, China
| | - Hui Zhao
- General Party Branch of the Second Clinical Department, China Medical University, Shenyang, Liaoning 110122, China
| | - Qiulan Liu
- General Party Branch of the Second Clinical Department, China Medical University, Shenyang, Liaoning 110122, China
| | - Shiyin He
- Department of Biochemistry and Molecular Biology, China Medical University, Shenyang, Liaoning 110122, China
| | - Guojie Zhao
- Department of Biochemistry and Molecular Biology, China Medical University, Shenyang, Liaoning 110122, China.
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Filippova AA, Presnova GV, Grigorenko VG, Ulyashova MM, Rubtsova MY. A Method for Processing Digital Images of Colorimetric Biochips for Quantitative Determination of Bacterial Antibiotic Resistance Genes. APPL BIOCHEM MICRO+ 2022. [DOI: 10.1134/s0003683822090046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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De Medici D, Rodriguez-Lazaro D, Cook N. Editorial: New Advances in Identification and Quantification of Foodborne Pathogens. Front Microbiol 2021; 12:783406. [PMID: 34790189 PMCID: PMC8591479 DOI: 10.3389/fmicb.2021.783406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Accepted: 10/07/2021] [Indexed: 11/13/2022] Open
Affiliation(s)
| | - David Rodriguez-Lazaro
- Microbiology Division, Faculty of Sciences, University of Burgos, Burgos, Spain.,Centre for Emerging Pathogens and Global Health, University of Burgos, Burgos, Spain
| | - Nigel Cook
- Jorvik Food and Environmental Virology Ltd., York, United Kingdom
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