Towards Point-of-Care Heart Failure Diagnostic Platforms: BNP and NT-proBNP Biosensors

Hussein Alawieh1,2, Trishia El Chemaly1, Samir Alam3

  • 1Neural Engineering and Nanobiosensors Group, Biomedical Engineering Program, Maroun Semaan Faculty of Engineering and Architecture, American University of Beirut, Beirut 1107 2020, Lebanon.

Insights

New biosensors offer improved detection of B-type natriuretic peptide (BNP) and N-terminal prohormone of BNP (NT-proBNP) for heart failure. These point-of-care technologies promise faster, more accurate diagnosis and management of cardiovascular disease.

Area of Science:

  • Biomedical Engineering
  • Cardiovascular Diagnostics
  • Biosensor Technology

Background:

  • Heart failure is a leading cause of global mortality and significant healthcare expenditure.
  • Traditional diagnostic methods for heart failure lack timeliness and cost-effectiveness.
  • Emerging cardiac biomarkers and advanced biosensor technologies offer potential improvements.

Purpose of the Study:

  • To review advancements in biosensing technologies for B-type natriuretic peptide (BNP) and N-terminal prohormone of BNP (NT-proBNP).
  • To assess the potential of these biosensors for point-of-care (POC) heart failure diagnosis.
  • To highlight challenges in integrating novel sensing technologies into clinical practice.

Main Methods:

  • Review of current optical and electrochemical immunosensors for BNP detection.
  • Comparison of biosensor performance metrics (sensitivity, selectivity, reproducibility) with traditional methods.
  • Assessment of clinical applicability for POC diagnostic platforms.

Main Results:

  • BNP and NT-proBNP show high diagnostic accuracy (around 80%) for heart failure events.
  • Biosensors enable rapid and sensitive detection of these cardiac biomarkers.
  • Optical and electrochemical immunosensors are key technologies for BNP sensing.

Conclusions:

  • BNP and NT-proBNP biosensors represent a significant advancement for heart failure management.
  • POC applications of these biosensors can enhance diagnostic accuracy and clinical decision-making.
  • Further research is needed to overcome challenges for seamless clinical integration.

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