Human myocardial protein pattern reveals cardiac diseases.

Area of Science:

• Biochemistry
• Cardiology
• Proteomics

Background:

• Heart failure presents with diverse etiologies, necessitating molecular-level understanding for accurate diagnosis.
• Previous work identified distinct proteomic patterns in aortic valve disease (AVD) and coronary heart disease (CHD) heart failure.
• Molecular identification is crucial to validate and exploit these observed proteomic classification patterns.

Purpose of the Study:

• To identify specific proteins differentiating myocardial tissue in AVD versus CHD heart failure.
• To validate proteomic findings using complementary mass spectrometry techniques.
• To explore the potential of this methodology for biomarker discovery in clinical diagnostics.

Main Methods:

• Proteomic analysis of myocardial tissue from AVD and CHD patients using high-performance liquid chromatography/Fourier transform ion cyclotron resonance mass spectrometry (HPLC/FT-ICR MS).
• Tryptic digestion and collision-induced dissociation (CID) fragmentation of selected classifier masses for protein identification via database searching.
• Validation using HPLC/Matrix-assisted laser desorption ionization time-of-flight/time-of-flight (MALDI-TOF/TOF) mass spectrometry.

Main Results:

• Proteomic profiles clearly distinguished between AVD and CHD etiologies.
• Desmin and lumican precursor proteins were found at higher abundances in AVD samples.
• Adenylate kinase isoenzyme was identified at higher abundance in CHD samples.

Conclusions:

• Molecular-level identification of differential protein expression supports distinct proteomic signatures for AVD and CHD heart failure.
• The mass spectrometry-based methodology is effective for identifying etiological differences in heart failure.
• This approach holds promise for developing plasma or serum biomarkers for heart failure diagnosis.