Target-induced proximity ligation triggers polymerase chain reaction for subset tracing of small extracellular vesicles

The considerable abundance and remarkable stability of sEVs provide substantial benefits for diagnosing Alzheimer's disease. Therefore, precise tracking subtypes of small extracellular vesicles (sEVs) is crucial for screening novel diagnostic biomarkers and developing therapeutic technologies. We propose a three-target recognition-mediated proximity ligation assay for the precise identification of sEV subtypes utilizing three specifically designed probes: one for the exosomal surface protein CD63 recognition, one for fixing the biolipid layer, and the third for the identification of distinctive protein associated with a specific subtype of sEVs (L1CAM positive sEVs). The developed sEVs subtype tracing approach integrates proximity ligation of the three probes to specifically bind to surface biomarkers and polymerase chain reaction (PCR) for signal amplification, enabling "AND" logic analysis of three essential components on sEVs. This method can be utilized for both sEVs quantification and subtype tracing. The proposed approach demonstrated a low limit of detection for neuronal sEVs at 2.5 particles/μL, according to this design. In addition, we utilized this technique to measure plasma sEV levels in individuals with Alzheimer's disease and examined its early diagnostic effectiveness. The approach can assess the concentration ratios of neuronal sEVs and cancer-derived sEVs, highlighting its potential for clinical applications. In addition, the approach enables precise tracing and identification of sEVs subtypes, hence facilitating extensive applications in biological science, biomedical engineering, and personalized medicine.

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Publication Details

Journal
Talanta
Published
2025-01-16
DOI
https://doi.org/10.1016/j.talanta.2025.127609
Citations
3
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
2.42
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article

Target-induced proximity ligation triggers polymerase chain reaction for subset tracing of small extracellular vesicles

Maosong Chen, Zhongyue Lv, Guo-Shiang Lin, Wu Zheng et al.
3 citations
Talanta
Extracellular vesicles in disease
2.42
article

Target-induced proximity ligation triggers polymerase chain reaction for subset tracing of small extracellular vesicles

Maosong Chen, Zhongyue Lv, Guo-Shiang Lin, Wu Zheng, Bingxuan Ren, Guomin Xie, Hongcai Wang, Yiwei Jiang, Yinqi Huang, Xiaoming Ying
article en
3 citations

Abstract

The considerable abundance and remarkable stability of sEVs provide substantial benefits for diagnosing Alzheimer's disease. Therefore, precise tracking subtypes of small extracellular vesicles (sEVs) is crucial for screening novel diagnostic biomarkers and developing therapeutic technologies. We propose a three-target recognition-mediated proximity ligation assay for the precise identification of sEV subtypes utilizing three specifically designed probes: one for the exosomal surface protein CD63 recognition, one for fixing the biolipid layer, and the third for the identification of distinctive protein associated with a specific subtype of sEVs (L1CAM positive sEVs). The developed sEVs subtype tracing approach integrates proximity ligation of the three probes to specifically bind to surface biomarkers and polymerase chain reaction (PCR) for signal amplification, enabling "AND" logic analysis of three essential components on sEVs. This method can be utilized for both sEVs quantification and subtype tracing. The proposed approach demonstrated a low limit of detection for neuronal sEVs at 2.5 particles/μL, according to this design. In addition, we utilized this technique to measure plasma sEV levels in individuals with Alzheimer's disease and examined its early diagnostic effectiveness. The approach can assess the concentration ratios of neuronal sEVs and cancer-derived sEVs, highlighting its potential for clinical applications. In addition, the approach enables precise tracing and identification of sEVs subtypes, hence facilitating extensive applications in biological science, biomedical engineering, and personalized medicine.

TalantaVol. 287
Wenzhou Medical University (CN), Ningbo Medical Center Lihuili Hospital (CN)
Openalex Percentile: Top 13%
Extracellular vesicles in disease
2.42
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