Heart disease, clinical proteomics and mass spectrometry

Brian A Stanley1, Rebekah L Gundry, Robert J Cotter

  • 1Department of Medicine, Johns Hopkins University, Baltimore, MD 21224, USA.

Disease Markers
|October 27, 2004
PubMed

Insights

This study reviews mass spectrometry (MS) for cardiac biomarker discovery and validation. MS aids in identifying proteins for diagnosing and monitoring heart disease, including acute myocardial infarction and heart failure.

Area of Science:

  • Biochemistry
  • Proteomics
  • Cardiovascular Medicine

Background:

  • Heart disease is a leading global cause of death and illness.
  • Accurate biomarkers are crucial for diagnosing, predicting, and managing heart conditions like acute myocardial infarction and heart failure.
  • Developing reliable cardiac biomarkers involves discovery, validation, and clinical translation of candidate proteins.

Purpose of the Study:

  • To review the application of mass spectrometry (MS) in cardiac biomarker discovery and validation.
  • To highlight the role of proteomic analysis in identifying and confirming heart disease biomarkers.
  • To provide examples of MS techniques used in biomarker research.

Main Methods:

  • Proteomic analysis of cardiac myocytes, tissue, serum, or plasma using MS.
  • Examination of specific protein sub-proteomes, such as albumin-binding proteins, using MALDI-TOF MS/MS for discovery.
  • Utilizing affinity surface-enhanced laser desorption ionization (SELDI) for protein validation, including monitoring post-translational modifications and protein status.

Main Results:

  • Mass spectrometry is a valuable tool for discovering novel cardiac biomarkers.
  • MS techniques enable the validation of candidate proteins by assessing disease-induced changes.
  • Specific examples demonstrate MS's utility in identifying potential biomarkers and validating proteins like cardiac troponin I.

Conclusions:

  • Mass spectrometry plays a critical role in the entire workflow of cardiac biomarker development.
  • MS facilitates both the initial discovery and subsequent validation phases necessary for clinical application.
  • The reviewed MS approaches offer promising avenues for advancing cardiovascular disease diagnostics and monitoring.

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