Buoyant Metal-Organic Framework Corona-Driven Fast Isolation and Ultrasensitive Profiling of Circulating Extracellular Vesicles.
Xiaojie QinYuanhang XiangLinfeng MaoYu YangBinqi WeiHao LuXinchun LiYuanqing ZhangFan YangPublished in: ACS nano (2024)
Accurately assaying tumor-derived circulating extracellular vesicles (EVs) is fundamental in noninvasive cancer diagnosis and therapeutic monitoring but limited by challenges in efficient EV isolation and profiling. Here, we report a bioinspired buoyancy-driven metal-organic framework (MOF) corona that leverages on-bubble coordination and dual-encoded surface-enhanced Raman scattering (SERS) nanotags to streamline rapid isolation and ultrasensitive profiling of plasma EVs in a single assay for cancer diagnostics. This integrated bubble-MOF-SERS EV assay (IBMsv) allows barnacle-like high-density adhesion of MOFs on a self-floating bubble surface to enable fast isolation (2 min, near 90% capture efficiency) of tumor EVs via enhanced EV-MOF binding. Also, IBMsv harnesses four-plexed SERS nanotags to profile the captured EV surface protein markers at a single-particle level. Such a sensitive assay allows multiplexed profiling of EVs across five cancer types, revealing heterogeneous EV surface expression patterns. Furthermore, the IBMsv assay enables cancer diagnosis in a pilot clinical cohort ( n = 55) with accuracies >95%, improves discrimination between cancer and noncancer patients via an algorithm, and monitors the surgical treatment response from hepatocellular carcinoma patients. This assay provides a fast, sensitive, streamlined, multiplexed, and portable blood test tool to enable cancer diagnosis and response monitoring in clinical settings.
Keyphrases
- metal organic framework
- papillary thyroid
- squamous cell
- gold nanoparticles
- end stage renal disease
- high throughput
- single cell
- chronic kidney disease
- ejection fraction
- machine learning
- newly diagnosed
- randomized controlled trial
- escherichia coli
- childhood cancer
- sensitive detection
- prognostic factors
- pseudomonas aeruginosa
- deep learning
- small molecule
- patient reported outcomes
- quantum dots
- dna binding
- double blind
- simultaneous determination
- long non coding rna