Functional Nucleic Acids for Pathogenic Bacteria Detection

被引:74
|
作者
Chang, Dingran [1 ]
Zakaria, Sandy [2 ]
Samani, Sahar Esmaeili [3 ]
Chang, Yangyang [4 ]
Filipe, Carlos D. M. [3 ]
Soleymani, Leyla [2 ,5 ]
Brennan, John D. [6 ,7 ]
Liu, Meng [4 ]
Li, Yingfu [6 ,7 ,8 ]
机构
[1] McMaster Univ, Michael G DeGroote Inst Infect Dis Res, Dept Biochem & Biomed Sci, Hamilton, ON L8S 4K1, Canada
[2] McMaster Univ, Sch Biomed Engn, Hamilton, ON L8S 4K1, Canada
[3] McMaster Univ, Dept Chem Engn, Hamilton, ON L8S 4K1, Canada
[4] Dalian Univ Technol, Sch Environm Sci & Technol, Key Lab Ind Ecol & Environm Engn, Minist Educ, Dalian 116024, Peoples R China
[5] McMaster Univ, Dept Engn Phys, Hamilton, ON L8S 4K1, Canada
[6] McMaster Univ, Biointerfaces Inst, Hamilton, ON L8S 4K1, Canada
[7] McMaster Univ, Dept Chem & Chem Biol, Hamilton, ON L8S 4K1, Canada
[8] McMaster Univ, Michael G DeGroote Inst Infect Dis Res, Dept Biochem & Biomed Sci, Sch Biomed Engn,Dept Chem Engn, Hamilton, ON L8S 4K1, Canada
关键词
IN-VITRO SELECTION; DNA AMPLIFICATION; PROBES;
D O I
10.1021/acs.accounts.1c00355
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Pathogens have long presented a significant threat to human lives, and hence the rapid detection of infectious pathogens is vital for improving human health. Current detection methods lack the means to detect infectious pathogens in a simple, rapid, and reliable manner at the time and point of need. Functional nucleic acids (FNAs) have the potential to overcome these limitations by acting as key components for point-of-care (POC) biosensors due to their distinctive advantages that include high binding affinities and specificities, excellent chemical stability, ease of synthesis and modification, and compatibility with a variety of signal-amplification and signal-transduction mechanisms. This Account summarizes the work completed in our groups toward developing FNA-based biosensors for detecting bacteria. In vitro selection has led to the isolation of many RNA-cleaving fluorogenic DNAzymes (RFDs) and DNA aptamers that can recognize infectious pathogens, including Escherichia coli, Clostridium difficile, Helicobacter pylori, and Legionella pneumophila. In most cases, a "many-against-many" approach was employed using a DNA library against a crude cellular mixture of an infectious pathogen containing diverse biomarkers as the target to isolate RFDs, with combined counter and positive selections ensuring high specificity toward the desired target. This procedure allows for the isolation of pathogen-specific FNAs without first identifying a suitable biomarker. Multiple target-specific DNA aptamers, including anti-glutamate dehydrogenase (GDH) circular aptamers, anti-degraded toxin B aptamers, and anti-RNase HII aptamers, have also been isolated for the detection of bacteria such as Clostridium difficile. The isolated FNAs have been integrated into fluorescent, colorimetric, and electrochemical biosensors using various signal transduction mechanisms. Both simple-to-use paper-based analytical devices and hand-held electrical devices with integrated FNAs have been developed for POC applications. In addition, signal-amplification strategies, including DNA catenane enabled rolling circle amplification (RCA), DNAzyme feedback RCA, and an all-DNA amplification system using a four-way junction and catalytic hairpin assembly (CHA), have been designed and applied to these systems to further increase their detection sensitivity. The use of these FNA-based biosensors to detect pathogens directly in clinical samples, such as urine, blood, and stool, has now been demonstrated with an outstanding sensitivity of as low as 10 cells per milliliter, highlighting the tremendous potential of using FNA-based sensors in clinical applications. We further describe strategies to overcome the challenges of using FNA-based biosensors in clinical applications, including strategies to improve the stability of FNAs in biological samples and prevent their nonspecific degradation from nucleases and strategies to deal with issues such as signal loss caused by nonspecific binding and biofouling. Finally, the remaining roadblocks for employing FNA-based biosensors in clinical applications are discussed.
引用
收藏
页码:3540 / 3549
页数:10
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