Detecting miRNA biomarkers from extracellular vesicles for cardiovascular disease with a microfluidic system

Area of Science:

• Biomedical Engineering
• Molecular Diagnostics
• Cardiovascular Research

Background:

• Cardiovascular diseases (CVDs) cause millions of deaths globally, with current diagnostic methods being costly and lacking early detection capabilities.
• MicroRNAs (miRNAs) in extracellular vesicles (EVs) show potential as early biomarkers for CVDs, but current detection methods are time-consuming and labor-intensive.

Purpose of the Study:

• To develop and evaluate an integrated microfluidic system for the rapid extraction and detection of miRNA biomarkers for early CVD diagnosis.
• To assess the system's sensitivity and speed for detecting specific miRNAs (miR-21 and miR-126) associated with CVDs.

Main Methods:

• An integrated microfluidic system incorporating field-effect transistors (FETs) was designed for sequential EV extraction, lysis, miRNA isolation, and detection.
• The system was optimized to perform the entire process within 5 hours.
• Detection limits for targeted miRNAs (miR-21 and miR-126) were determined.

Main Results:

• The developed microfluidic system successfully performed EV extraction, lysis, miRNA isolation, and detection within a 5-hour timeframe.
• The system achieved a limit of detection in the femtomolar range for both miR-21 and miR-126, which is within the physiological range.
• This demonstrates the system's high sensitivity for detecting relevant miRNA biomarkers.

Conclusions:

• The integrated microfluidic system offers a rapid and sensitive platform for early CVD detection using miRNA biomarkers.
• This technology has the potential to overcome the limitations of current diagnostic methods, providing a more accessible tool for clinical application.
• Further validation is warranted to establish its role in routine CVD screening.