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Updated: May 12, 2026
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An Ex Vivo Porcine Model for Hydrodynamic Testing of Experimental Aortic Valve Procedures and Novel Medical Devices
Published on: August 25, 2023
A comparative study of immunodepletion and equalization methods for aortic stenosis human plasma
Felix Gil-Dones1, Verónica M Darde, Fernando Vivanco
1Department of Vascular Physiopathology, Hospital Nacional de Paraplejicos, SESCAM, Toledo, Spain.
Methods in Molecular Biology (Clifton, N.J.)
|April 23, 2013
Summary
New methods simplify plasma proteomic analysis for aortic stenosis (AS). This research aids in discovering biomarkers for early detection and improved diagnosis of this cardiovascular disease.
Area of Science:
- Cardiovascular Medicine
- Proteomics
- Biomarker Discovery
Background:
- Calcified aortic valve disease, including aortic stenosis (AS), shares risk factors with atherosclerosis and cardiovascular diseases.
- Traditionally attributed to aging, AS is now understood to have complex underlying mechanisms.
- Plasma proteomic analysis offers a window into AS-induced protein expression changes.
Purpose of the Study:
- To develop optimized protocols for reducing human plasma proteome complexity.
- To facilitate comprehensive proteomic characterization in healthy individuals and AS patients.
- To advance the discovery of biomarkers for early AS detection, diagnosis, and therapy.
Main Methods:
- Description of two distinct, optimized protocols for plasma pre-fractionation.
- Depletion of abundant plasma proteins like albumin to enhance detection of low-abundance proteins.
- Application of these methods for proteomic analysis in healthy and AS plasma samples.
Main Results:
- Successfully reduced plasma proteome complexity using the described protocols.
- Enabled more systematic characterization of the plasma proteome in AS.
- Laid the groundwork for identifying AS-specific protein expression patterns.
Conclusions:
- Optimized plasma fractionation protocols are crucial for effective proteomic analysis in AS.
- These methods enhance the potential for identifying novel biomarkers for AS.
- Advancing proteomic characterization of AS can significantly improve clinical management and patient outcomes.
