Separation-Free Extracellular Vesicle Microribonucleic Acid Profiling Using Structurally Oriented Membrane Fusion and Spatially Confined Amplification

Current methods for profiling of extracellular vesicle (EV) microRNAs (miRNAs) involve either PCR or sequencing analysis of EV lysate or delivery of RNA probes into EVs for <i>in situ</i> hybridization, which suffer from complex protocols and low delivery efficiency/limited sensitivity, respectively. To overcome this limitation, we present a programmable, aptamer-mediated membrane fusion strategy that integrates aptamer-functionalized liposomes with nucleic acid nanostructures-<u>D</u>ual-color, <u>B</u>one-shaped Bio<u>s</u>ensor-loaded <u>A</u>ptamer-<u>Lip</u>osome (DBS-Alip) for rapid, one-step, <i>in situ</i> detection of multiple tumor-specific EVs-derived miRNAs. DBS-Alip selectively fuses with intact EVs, enabling direct intravesicular delivery of DBS that triggers nonenzymatic signal amplification within confined nanospaces, producing an enhanced fluorescence signal within 30 min. This platform achieved an ultralow detection of 0.5 fM using only 5 μL of plasma, eliminating the need for RNA extraction or amplification while maintaining high sensitivity and specificity. In clinical validation, DBS-Alip accurately distinguished early-stage nonsmall cell lung cancer patients from healthy donors (100% accuracy) and pneumonia cases (90% accuracy). This isolation-free, multiplexed detection platform offers a robust and programmable EV-based liquid biopsy strategy with a strong potential for early cancer diagnosis.

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Publication Details

Journal
ACS Nano
Published
2026-01-13
DOI
https://doi.org/10.1021/acsnano.5c18632
Primary Topic
Extracellular vesicles in disease
Type
article
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article

Separation-Free Extracellular Vesicle Microribonucleic Acid Profiling Using Structurally Oriented Membrane Fusion and Spatially Confined Amplification

H D Wang, Yida Liu, Jinglong Tang, Yifei Jiang et al.
ACS Nano
Extracellular vesicles in disease
article

Separation-Free Extracellular Vesicle Microribonucleic Acid Profiling Using Structurally Oriented Membrane Fusion and Spatially Confined Amplification

H D Wang, Yida Liu, Jinglong Tang, Yifei Jiang, Ya Xu, Dunqiang Ren, Xin Li, Songlin Liu, Xiaoyi Fu, Yuting Bao, Xiaohong Fang, Sihui Tong, Lubin Qi, Liang Yuan, Jinghui Ruan, Peng Zhou
article en

Abstract

Current methods for profiling of extracellular vesicle (EV) microRNAs (miRNAs) involve either PCR or sequencing analysis of EV lysate or delivery of RNA probes into EVs for <i>in situ</i> hybridization, which suffer from complex protocols and low delivery efficiency/limited sensitivity, respectively. To overcome this limitation, we present a programmable, aptamer-mediated membrane fusion strategy that integrates aptamer-functionalized liposomes with nucleic acid nanostructures-<u>D</u>ual-color, <u>B</u>one-shaped Bio<u>s</u>ensor-loaded <u>A</u>ptamer-<u>Lip</u>osome (DBS-Alip) for rapid, one-step, <i>in situ</i> detection of multiple tumor-specific EVs-derived miRNAs. DBS-Alip selectively fuses with intact EVs, enabling direct intravesicular delivery of DBS that triggers nonenzymatic signal amplification within confined nanospaces, producing an enhanced fluorescence signal within 30 min. This platform achieved an ultralow detection of 0.5 fM using only 5 μL of plasma, eliminating the need for RNA extraction or amplification while maintaining high sensitivity and specificity. In clinical validation, DBS-Alip accurately distinguished early-stage nonsmall cell lung cancer patients from healthy donors (100% accuracy) and pneumonia cases (90% accuracy). This isolation-free, multiplexed detection platform offers a robust and programmable EV-based liquid biopsy strategy with a strong potential for early cancer diagnosis.

ACS NanoVol. 20(3)
Qingdao University (CN), Chinese Academy of Sciences (CN), Affiliated Hospital of Qingdao University (CN), Institute for Advanced Study (DE), Kai Biotech (South Korea) (KR), University of Chinese Academy of Sciences (CN)
Good health and well-being
Openalex Percentile: Top 89%
Extracellular vesicles in disease
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