Cell-free transcription amplification-based split-type electrochemical sensor using enzyme-linked magnetic microbeads for minimal residual leukemia detection

IF 6.1 1区 化学 Q1 CHEMISTRY, ANALYTICAL Talanta Pub Date : 2025-05-01 Epub Date: 2025-01-06 DOI:10.1016/j.talanta.2025.127551
Lu-Ying Yu , Jin-Yuan Chen , Huan-Jiao Weng , Huang-Feng Lin , Chui-Ju Zhang , Liang-Yong Yang , Ji-Zhen Lin , Xin-Hua Lin , Guang-Xian Zhong
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Abstract

Constrained by detecting techniques, patients with acute promyelocytic leukemia (APL) are often confronted with minimal residual disease (MRD) and a high risk of relapse. Thus, a pragmatic and robust method for MRD monitoring is urgently needed. Herein, a novel split-type electrochemical sensor (E-sensor) was developed by integrating nucleic acid sequence-based amplification (NASBA) with enzyme-linked magnetic microbeads (MMBs) for ultra-sensitive detection of the PML/RARα transcript. In this system, NASBA facilitated efficient amplification under isothermal conditions, generating a large amount of RNA amplicons, which mediated the quick binding between horseradish peroxidase (HRP) and MMBs. The separately HRP-linked MMBs were subsequently transferred onto the surface of magnetic glass carbon electrode, producing a remarkably strong electrochemical signal in the presence of the HRP substrate. The proposed split-type E-sensor could detect the PML/RARα transcript with a high sensitivity (a limit detection of 100 aM), a high specificity (single base discrimination) as well as a high stability (a relative standard deviation of 8.3 % for 10 fM target RNA and 6.0 % for 100 fM target RNA). Finally, it could achieve both direct detection of serum cell-free RNA and specific intracellular RNA detection. Owing to its isothermal characteristics, robustness, and suitability for point-of-care testing, this method offers a powerful tool for the early diagnosis of APL and the monitoring of MRD, which holds a great significance for facilitating treatment response assessment and making treatment decisions.

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基于无细胞转录扩增的分裂型电化学传感器,使用酶联磁微珠进行最小残留白血病检测。
由于检测技术的限制,急性早幼粒细胞白血病(APL)患者经常面临微小残留病(MRD)和高复发风险。因此,迫切需要一种实用的、健壮的MRD监测方法。本研究将核酸序列扩增(NASBA)与酶联磁微珠(MMBs)相结合,开发了一种新型的分裂式电化学传感器(E-sensor),用于超灵敏检测PML/RARα转录物。在该体系中,NASBA在等温条件下进行高效扩增,产生大量RNA扩增子,介导辣根过氧化物酶(HRP)与MMBs的快速结合。随后将HRP连接的MMBs转移到磁性玻璃碳电极表面,在HRP底物存在的情况下产生非常强的电化学信号。所提出的分裂型e -传感器检测PML/RARα转录本具有高灵敏度(100 aM的检测限)、高特异性(单碱基鉴别)和高稳定性(10 fM靶RNA的相对标准偏差为8.3%,100 fM靶RNA的相对标准偏差为6.0%)。最后,它可以实现血清游离RNA的直接检测和细胞内RNA的特异性检测。该方法具有等温特性,鲁棒性好,适合于现场检测,为APL的早期诊断和MRD的监测提供了有力的工具,对促进治疗反应评估和治疗决策具有重要意义。
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来源期刊
Talanta
Talanta 化学-分析化学
CiteScore
12.30
自引率
4.90%
发文量
861
审稿时长
29 days
期刊介绍: Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome. Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.
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