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Efficient and accurate detection of GC-associated miR-96-5p using a competitive lateral flow method based on SERS. | LitMetric

AI Article Synopsis

  • A new bioanalytical platform, combining surface-enhanced Raman spectroscopy and lateral flow assay (SERS-LFA), has been developed for the rapid detection of miR-96-5p linked to gastric cancer (GC).
  • The SERS-LFA strips work by measuring the binding competition between miR-96-5p in a sample and a conjugated DNA probe, resulting in a measurable signal that decreases as miR-96-5p levels increase.
  • Clinical evaluations show that this biosensor can accurately detect miR-96-5p in patients, providing a quick (30 min) and sensitive diagnosis for early-stage gastric cancer compared to traditional methods like qRT-PCR.

Article Abstract

To facilitate rapid, efficient, and accurate detection of miR-96-5p associated with gastric cancer (GC), we developed a bioanalytical platform by integrating surface-enhanced Raman spectroscopy with lateral flow assay (SERS-LFA). With these SERS-LFA strips, miR-96-5p within the specimen competed with Au rhombic dodecahedron (AuRD) conjugated single-stranded DNA (ssDNA) to bond to the immobilized hairpin DNA (hpDNA) probe on the T line. Consequently, higher abundance of miR-96-5p led to reduced conjugation of AuRD on the T line, thereby resulting in diminished SERS intensity. The biosensor exhibited a detection time of approximately 30 min and demonstrated a low limit of detection (LOD) for miR-96-5p in PBS buffer solution, down to 3.7 fM. To validate its clinical utility for the early diagnosis of patients with different degrees of gastric lesions, we performed quantitative evaluations in cohorts that included healthy individuals, patients with mild intraepithelial neoplasia, patients with severe intraepithelial neoplasia, as well as patients diagnosed with GC. The results obtained from the SERS-LFA strips were in agreement with those obtained from the quantitative real-time polymerase chain reaction (qRT-PCR). Given the accomplishments, this biosensor has significant potential for the clinical diagnosis of GC, offering a promising avenue for timely detection and improved patient prognoses.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11459275PMC
http://dx.doi.org/10.1039/d4ra03880kDOI Listing

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