Development of an Aptamer/CRISPR-Cas12a-Based Dual-Modal Biosensor for Fusobacterium nucleatum Detection in Non-Invasive Colorectal Cancer Screening

化学 适体 生物标志物 生物传感器 结直肠癌 检出限 计算生物学 实时聚合酶链反应 劈理(地质) 聚合酶链反应 癌症研究 基质(水族馆) 癌症 临床诊断 纳米技术 筛选技术 阶段(地层学) 免疫分析 荧光 结直肠癌筛查 色谱法 分子生物学
作者
Xinjing Wang,Shanshan Feng,Hui Chen,Bo Zhou,Tingting Fan,Ying Qin,Longshan Zhao,Yuyang Jiang,Yan Chen
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:97 (42): 23360-23369 被引量:2
标识
DOI:10.1021/acs.analchem.5c04132
摘要

Colorectal cancer (CRC) is the third most common cancer and leading cause of cancer-related deaths worldwide. However, current CRC screening methods are complex, invasive, and tend to exhibit low sensitivity. Recent evidence has highlighted gut microbiota dysbiosis, especially elevated Fusobacterium nucleatum levels, as a promising biomarker for CRC. In this study, a sensitive and specific detection platform was developed for F. nucleatum by combining a highly specific aptamer with rolling circle amplification (RCA) and the CRISPR/Cas12a technology. The aptamer enables specific target recognition, while RCA amplifies the target signal, and the Cas12a-mediated cleavage of a fluorescence-quenching substrate generates a quantifiable fluorescence or grayscale signal. Using a microplate reader, this assay achieved a limit of detection (LOD) of 3.68 CFU/mL; furthermore, by incorporating smartphone-assisted ImageJ grayscale analysis, it elevated the LOD to 4.30 CFU/mL, thereby enabling a dual-mode output along with on-site applicability. Additionally, the strong correlation between the two signals allowed for mutual validation. Upon application to clinical fecal samples, the developed method sensitively distinguished CRC patients from healthy controls, and its results correlated with the quantitative polymerase chain reaction results. This triple-synergistic platform, integrating aptamer specificity, RCA amplification, and CRISPR/Cas12a sensitivity, enables the noninvasive, ultrasensitive detection of F. nucleatum, supporting early CRC screening, prognosis monitoring, and microbiome-targeted therapy. Moreover, this approach overcomes the challenges of detecting low-abundance bacteria in early stage CRC and advances the precision of microbiome-based diagnostics for CRC.
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