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Deprecated: Implicit conversion from float 251.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Biosens+Bioelectron 2021 ; 182 (ä): 113173 Nephropedia Template TP
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Detection and differentiation of respiratory syncytial virus subgroups A and B with colorimetric toehold switch sensors in a paper-based cell-free system #MMPMID33773383
Cao M; Sun Q; Zhang X; Ma Y; Wang J
Biosens Bioelectron 2021[Jun]; 182 (ä): 113173 PMID33773383show ga
Respiratory syncytial virus (RSV) infection is the most common clinical infectious disease threatening the safety of human life. Herein, we provided a sensitive and specific method for detection and differentiation of RSV subgroups A (RSVA) and B (RSVB) with colorimetric toehold switch sensors in a paper-based cell-free system. In this method, we applied the toehold switch, an RNA-based riboswitch, to regulate the translation level of beta-galactosidase (lacZ) gene. In the presence of target trigger RNA, the toehold switch sensor was activated and the expressed LacZ hydrolyzed chromogenic substrates to produce a colorimetric result that can be observed directly with the naked eye in a cell-free system. In addition, nucleic acid sequence-based amplification (NASBA) was used to improve the sensitivity by amplifying target trigger RNAs. Under optimal conditions, our method produced a visible result for the detection of RSVA and RSVB with the detection limit of 52 aM and 91 aM, respectively. The cross-reaction of this method was validated with other closely related respiratory viruses, including human coronavirus HKU1 (HCoV-HKU1), and Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Furthermore, we used the paper-based carrier material that allows stable storage of our detection elements and rapid detection outside laboratory. In conclusion, this method can sensitively and specifically differentiate RSVA and RSVB and generate a visible colorimetric result without specialized operators and sophisticated equipment. Based on these advantages above, this method serves as a simple and portable detector in resource-poor areas and point-of-care testing (POCT) scenarios.