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Biosens Bioelectron ; 176: 112942, 2021 Mar 15.
Article in English | MEDLINE | ID: covidwho-1009324

ABSTRACT

2019 novel coronavirus (2019-nCoV) with strong contagion in the crowd, has ravaged worldwide and severely impacts the human health and epidemic prevention system, by producing a series of significant stress reactions in the body to induce further cytokine storm. Transcription factors (TFs) served as essential DNA binding proteins play an integral role in regulating cytokine storm, and the detection of it in the human coronavirus environment provides especially valuable approaches to diagnosis and treatment of 2019-nCoV and development of antiviral drugs. In this work, an entropy-driven electrochemiluminescence (ECL) biosensor was constructed for ultra-sensitive bioassay of NF-κB p50. The strategy primarily capitalizing the splendid double-stranded DNA (dsDNA) binding properties of transcription factors, employing GOAu-Ru composite material as ECL emitter, utilizing entropy-driven reactions for signal amplification method, offered a repeatable proposal for TFs detection. In the absence of TFs, the released DNA1 further went in the entropy-driven reaction, contributing to an "ECL off" state. However, in the presence of TFs, the dsDNA avoided being digested, which blocked DNA1 for participating in the entropy-driven reaction, and the system exhibited an "ECL on" state. Most importantly, the ECL bioanalytical method denoted broad application prospects for NF-κB p50 detection with a lower detection limit (9.1 pM).


Subject(s)
Biosensing Techniques/methods , COVID-19/immunology , Cytokine Release Syndrome/immunology , NF-kappa B p50 Subunit/analysis , Biosensing Techniques/statistics & numerical data , COVID-19/complications , Cytokine Release Syndrome/etiology , Electrochemical Techniques/methods , Electrochemical Techniques/statistics & numerical data , Entropy , Humans , Limit of Detection , Luminescent Measurements/methods , Luminescent Measurements/statistics & numerical data , Pandemics , SARS-CoV-2 , Sensitivity and Specificity
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