Fluorescent aptasensor based on target-induced hairpin conformation switch coupled with nicking enzyme-assisted signal amplification for detection of beta-amyloid oligomers in cerebrospinal fluid

IF 5.3 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchimica Acta Pub Date : 2025-01-13 DOI:10.1007/s00604-024-06943-8

Wan-Chen Chuang, Chun-Hsien Chen, Tsai-Hui Duh, Yen-Ling Chen

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Abstract

A fluorescent aptasensor was developed based on target-induced hairpin conformation switch coupled with nicking enzyme-assisted signal amplification (NESA) to detect the oligomeric form of ß-amyolid peptide (AβO) in cerebrospinal fluid. The hairpin DNA probe (HP) was specifically designed to recognize AβO. When AβO is present in the sensing system, it induces an HP conformational switch and triggers the NESA reaction. After evaluating the parameters of the aptasensor system, we selected Hairpin10, which has a 10-nucleotide extended sequence, as the hairpin sequence that interacts with AβO. The quantitative linear range of the proposed aptasensor is from 11.3 to 113 ng mL⁻¹ in artificial cerebrospinal fluid (aCSF), and the detection limit was 7.29 ng mL⁻¹. The present work realized the assay of AβO in aCSF with satisfactory quantitative results.

Graphical abstract

Abstract Image

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基于靶诱导的发夹构象开关和nickking酶辅助信号放大的荧光适体传感器检测脑脊液中β -淀粉样蛋白低聚物

建立了一种基于靶诱导发夹构象开关和nickking酶辅助信号放大（NESA）的荧光体传感器，用于检测脑脊液中ß-淀粉样肽（Aβ o）的低聚形态。发夹DNA探针（hairpin DNA probe， HP）是专门设计用于识别AβO的探针。当AβO存在于传感系统中时，它诱导HP构象开关并触发NESA反应。在评估了适配体传感器系统的参数后，我们选择了具有10个核苷酸扩展序列的Hairpin10作为与a β o相互作用的发夹序列。该传感器在人工脑脊液（aCSF）中的定量线性范围为11.3 ~ 113 ng mL−1，检出限为7.29 ng mL−1。本工作实现了aCSF中AβO的测定，定量结果令人满意。图形抽象

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来源期刊

Microchimica Acta 化学-分析化学

CiteScore

9.80

自引率

5.30%

发文量

410

审稿时长

2.7 months

期刊介绍： As a peer-reviewed journal for analytical sciences and technologies on the micro- and nanoscale, Microchimica Acta has established itself as a premier forum for truly novel approaches in chemical and biochemical analysis. Coverage includes methods and devices that provide expedient solutions to the most contemporary demands in this area. Examples are point-of-care technologies, wearable (bio)sensors, in-vivo-monitoring, micro/nanomotors and materials based on synthetic biology as well as biomedical imaging and targeting.