CSDR Coupling with Exo III for Ultrasensitive Electrochemistry Determination of miR-145

Moli Zhang1, Yang Yang1, Lingyi Xin2

  • 1Shenzhen Bao'an Authentic TCM Therapy Hospital, Shenzhen 518102, China.

Insights

A new electrochemical biosensor accurately detects microRNA-145 (miR-145), a stroke biomarker, in blood. This innovation aids in distinguishing stroke patients from healthy individuals, improving diagnostic capabilities.

Area of Science:

  • Biomedical Engineering
  • Molecular Diagnostics
  • Biosensor Technology

Background:

  • MicroRNAs (miRNAs) show promise as disease diagnostic biomarkers.
  • MicroRNA-145 (miR-145) is implicated in stroke, but its detection is challenging due to low abundance and blood matrix complexity.
  • Accurate detection of miR-145 is crucial for stroke diagnostics.

Purpose of the Study:

  • To develop a novel electrochemical biosensor for sensitive and specific detection of miR-145.
  • To address the challenges of detecting low-abundance miRNAs in complex biological samples.
  • To evaluate the biosensor's potential for clinical stroke diagnosis.

Main Methods:

  • Development of an electrochemical biosensor utilizing cascade strand displacement reaction (CSDR), exonuclease III (Exo III), and magnetic nanoparticles (MNPs).
  • Quantitative detection of miR-145 across a wide concentration range (1 × 10^2 to 1 × 10^6 aM).
  • Assessment of specificity against similar miRNA sequences and validation in clinical samples.

Main Results:

  • The developed biosensor achieved a low detection limit of 100 aM for miR-145.
  • Demonstrated high specificity, distinguishing miRNAs with single-base differences.
  • Successfully differentiated between healthy individuals and stroke patients, with results correlating with RT-qPCR.

Conclusions:

  • The novel electrochemical biosensor offers a sensitive, specific, and reliable method for miR-145 detection.
  • This technology holds significant potential for advancing stroke research and clinical diagnostics.
  • The biosensor overcomes limitations of existing methods for detecting challenging biomarkers in complex matrices.