An integrated double-filtration microfluidic device for isolation, enrichment and quantification of urinary extracellular vesicles for detection of bladder cancer

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作者
Li-Guo Liang
Meng-Qi Kong
Sherry Zhou
Ye-Feng Sheng
Ping Wang
Tao Yu
Fatih Inci
Winston Patrick Kuo
Lan-Juan Li
Utkan Demirci
ShuQi Wang
机构
[1] State Key Laboratory for Diagnosis and Treatment of Infectious Diseases,Department of Radiology
[2] First Affiliated Hospital,Department of Urology
[3] College of Medicine,Department of Electrical Engineering (By courtesy)
[4] Zhejiang University,undefined
[5] Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases,undefined
[6] Institute for Translational Medicine,undefined
[7] Zhejiang University,undefined
[8] Bio-Acoustic MEMS in Medicine (BAMM) Laboratory,undefined
[9] Canary Center at Stanford for Cancer Early Detection,undefined
[10] Stanford University,undefined
[11] School of Medicine,undefined
[12] First Affiliated Hospital,undefined
[13] College of Medicine,undefined
[14] Zhejiang University,undefined
[15] Harvard Catalyst-Laboratory for Innovative Translational Technologies,undefined
[16] Harvard Medical School,undefined
[17] CloudHealth Genomics,undefined
[18] Ltd,undefined
[19] Stanford University,undefined
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摘要
Extracellular vesicles (EVs), including exosomes and microvesicles, are present in a variety of bodily fluids, and the concentration of these sub-cellular vesicles and their associated biomarkers (proteins, nucleic acids, and lipids) can be used to aid clinical diagnosis. Although ultracentrifugation is commonly used for isolation of EVs, it is highly time-consuming, labor-intensive and instrument-dependent for both research laboratories and clinical settings. Here, we developed an integrated double-filtration microfluidic device that isolated and enriched EVs with a size range of 30–200 nm from urine, and subsequently quantified the EVs via a microchip ELISA. Our results showed that the concentration of urinary EVs was significantly elevated in bladder cancer patients (n = 16) compared to healthy controls (n = 8). Receiver operating characteristic (ROC) analysis demonstrated that this integrated EV double-filtration device had a sensitivity of 81.3% at a specificity of 90% (16 bladder cancer patients and 8 healthy controls). Thus, this integrated device has great potential to be used in conjunction with urine cytology and cystoscopy to improve clinical diagnosis of bladder cancer in clinics and at point-of-care (POC) settings.
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