Proximity Effect-Mediated DNA Self-Assembly for the Highly Specific Detection of Glioma-Derived Exosomes by Combining Multiple Exosomal Surface Markers
Exosomes that can cross the blood-brain barrier are promising biomarkers for glioma diagnosis, yet highly specific and sensitive detection of glioma-derived exosomes remains a challenge. Herein, a strategy of "proximity effect-mediated DNA self-assembly" has been proposed to achieve highly specific, sensitive, and flexible detection of glioma-derived exosomes. Exosomes are separated and enriched by CD63 aptamer-modified nanomagnetic beads; a pair of proximity probes simultaneously binds to PDPN and EGFR on the surface of exosomes, which will induce proximity effect-mediated DNA self-assembly with linker probes and the subsequent invertase-labeled signal amplification probes, thus converting one target exosome in the presence of multiple invertases. Benefiting from the dual signal amplification from nucleic acid self-assembly and enzymatic reaction, highly sensitive and flexible detection of glioma-derived exosomes can be achieved by using a portable blood glucose meter, with a limit of detection of 3 × 10<sup>4</sup> particles/mL. Of note, the combined detection of multiple exosomal surface markers (CD63/PDPN/EGFR) based on proximity hybridization significantly improves the specificity of glioma-derived exosome detection, enabling efficient discrimination of glioma cells from normal microglia and various other tumor cells. Furthermore, the level of CD63/PDPN/EGFR-positive exosomes in glioma patients was significantly higher than that of healthy subjects (<i>P</i> < 0.0001); compared with the CD63/PDPN- and CD63/EGFR-positive exosomes (AUCs of 0.852 and 0.895), the detection of CD63/PDPN/EGFR-based exosomes provides a remarkably accurate diagnosis of glioma (AUC of 0.98). Additionally, this strategy can be easily extended to the detection of other disease-derived exosomes just by replacing the corresponding recognition units.
Authors
- Leiliang He (ORCID: https://orcid.org/0000-0003-3437-1451)
- Xiaolan Gao
- Yi Hao (ORCID: https://orcid.org/0000-0003-1339-753X)
- Yamin Xiong (ORCID: https://orcid.org/0000-0001-9562-8164)
- Xueying Zhao (ORCID: https://orcid.org/0009-0002-5249-5896)
- Yifu Wang (ORCID: https://orcid.org/0000-0003-4425-3045)
- Jinjin Li (ORCID: https://orcid.org/0000-0002-9835-168X)
Institutions
- Zhengzhou University (CN)
Publication Details
- Journal
- ACS Sensors
- Published
- 2025-11-26
- DOI
- https://doi.org/10.1021/acssensors.5c00951
- Primary Topic
- Extracellular vesicles in disease
- Type
- article
- Field-Weighted Citation Impact
- 0.00