Three-dimensional hierarchical plasmonic nano-architecture based label-free surface-enhanced Raman spectroscopy detection of urinary exosomal miRNA for clinical diagnosis of prostate cancer

The urinary exosomal miRNAs are recently emerging prostate cancer (PC)-associated biomarkers for the early-stage diagnosis and prognosis due to their non-invasiveness, inherent stability and the representation of the status of the originated cells. However, developing a urinary exosomal miRNA detect...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Biosensors & bioelectronics 2022-06, Vol.205, p.114116, Article 114116
Hauptverfasser: Kim, Woo Hyun, Lee, Jong Uk, Jeon, Myeong Jin, Park, Kyong Hwa, Sim, Sang Jun
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The urinary exosomal miRNAs are recently emerging prostate cancer (PC)-associated biomarkers for the early-stage diagnosis and prognosis due to their non-invasiveness, inherent stability and the representation of the status of the originated cells. However, developing a urinary exosomal miRNA detection method with high accuracy is challenging because of the low abundance and high sequence homology of miRNAs. Herein, we present a quantitative and label-free miRNA sensing platform using surface-enhanced Raman scattering (SERS) based on three-dimensional (3D) hierarchical plasmonic nano-architecture to detect urinary exosomal miRNAs. This hierarchical nanostructure is constructed by self-assembly between target-complementary DNA probes-conjugated gold nanoparticles and head-flocked gold nanopillars in the presence of the target miRNAs, creating numerous 3D plasmonic hot-spots inducing exceedingly high amplification of SERS signals. This 3D SERS biosensor achieved ∼10 aM detection limits for the target miRNAs (miR-10a and miR-21), which is over 1000-fold more sensitive than previously reported miRNA sensors without the requirement of any labelling or pre-treatment steps. Finally, the clinical validation using urinary samples revealed that our 3D SERS sensor discriminates PC patients from healthy control with high diagnostic accuracy (0.93) based on the differential expression level of urinary exosomal miRNAs. These outputs demonstrate that our SERS sensor based on 3D hierarchical nano-architecture can offer facile, accurate and rapid methods to measure miRNA expression and is helpful for the diagnosis of various diseases. [Display omitted] •The introduction of SAP-AuNP on the head-flocked nanopillar structure induces the formation of 3D plasmonic hot-spots.•As remarkably enhancing the Raman signal from target miRNAs, the 3D SERS sensor enabled label-free detection of miRNAs.•3D hierarchical nanoarchitecture-based SERS sensors could discriminate PC patients with high diagnostic accuracy.
ISSN:0956-5663
1873-4235
DOI:10.1016/j.bios.2022.114116