Electrical Cartridge Sensor Enables Reliable and Direct Identification of MicroRNAs in Urine of Patients

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초록

Urinary miRNAs are biomarkers that demonstrate considerable promise for the noninvasive diagnosis and prognosis of diseases. However, because of background noise resulting from complex physiological features of urine, instability of miRNAs, and their low concentration, accurate monitoring of miRNAs in urine is challenging. To address these limitations, we developed a urine-based disposable and switchable electrical sensor that enables reliable and direct identification of miRNAs in patient urine. The proposed sensing platform combining disposable sensor chips composed of a reduced graphene oxide nanosheet and peptide nucleic acid facilitates the label-free detection of urinary miRNAs with high specificity and sensitivity. Using real-time detection of miRNAs in patient urine without pretreatment or signal amplification, this sensor allows rapid, direct detection of target miRNAs in a broad dynamic range with a detection limit down to 10 fM in human urine specimens within 20 min and enables simultaneous quantification of multiple miRNAs. As confirmed using a blind comparison with the results of pathological examination of patients with prostate cancer, the sensor offers the potential to improve the accuracy of early diagnosis before a biopsy is taken. This study holds the usefulness of the practical sensor for the clinical diagnosis of urological diseases. ©

키워드

clinical diagnosisdisposable sensor chipsgraphene-based electrical sensorlabel-free detectionpatient urineprostate cancerurinary miRNA detectionDiseasesGrapheneRNADirect identificationsElectrical cartridgesGraphene oxide nanosheetsLabel-free detectionNon-invasive diagnosisPeptide nucleic acidPhysiological featuresSignal amplificationsDiagnosis
제목
Electrical Cartridge Sensor Enables Reliable and Direct Identification of MicroRNAs in Urine of Patients
저자
Kim, S.Park, S.Cho, Y.S.Kim, Y.Tae, J.H.No, T.I.Shim, J.S.Jeong, Y.Kang, S.H.Lee, K.H.
DOI
10.1021/acssensors.0c01870
발행일
2021-03-26
유형
Article
저널명
ACS Sensors
6
3
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833 ~ 841