Background
Progastrin-releasing peptide (proGRP) is a potential high-specificity biomarker for Ewing sarcoma and has important clinical value in early diagnosis and risk stratification. However, the existing detection methods such as enzyme-linked immunosorbent assay (ELISA), chemiluminescence immunoassay (CLIA), and cytometric bead array (CBA) often face the problems of insufficient sensitivity and limited reliability in complex biological matrices, lead to the difficulty of accurate quantification. Therefore, it is of great significance to develop new sensing strategies with higher detection performance for promoting clinical accurate diagnosis.
Results
This study developed a novel biosensing system based on fluorescence enhancement with Förster resonance energy transfer (FRET) for highly sensitive detection of proGRP. The signal amplification unit of this system is composed of DNA1-modified upconversion nanoparticles (UCNPs) as FRET donor and DNA2-modified magnetic nanozyme complexes (Fe3O4Ns) as acceptor. Upon competitive binding with proGRP, the dissociated DNA1-UCNPs pair with DNA2-Fe3O4Ns. This pairing reduces the donor-acceptor distance, thus activating the FRET process and prompting Fe3O4Ns to generate substantial hydroxyl radicals (·OH), which subsequently oxidizes specific substrates to transduce the detection signal. The detection limit of the method was 0.14 pg/mL in PBS and 0.76 pg/mL in serum. The method demonstrated high specificity, excellent reproducibility, and robust anti-interference performance, rendering it robust for the analysis of complex serum matrices.
Significance
This work presents an innovative sensing platform that combines near-infrared light-excited luminescence with nanozyme-mediated signal amplification for the detection of proGRP. The method surpasses conventional assays in sensitivity and operational stability, showing great promise for clinical translation. Its robust performance in serum underscores potential applications in early cancer diagnostics and biomarker-based disease management, providing a valuable tool for disease diagnosis.
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