TY - JOUR
T1 - Modification of the secretion pattern of proteases, inflammatory mediators, and extracellular matrix proteins by human aortic valve is key in severe aortic stenosis
AU - Alvarez-Llamas, Gloria
AU - Martín-Rojas, Tatiana
AU - de la Cuesta, Fernando
AU - Calvo, Enrique
AU - Gil-Dones, Felix
AU - Dardé, Veronica M
AU - Lopez-Almodovar, Luis F
AU - Padial, Luis R
AU - Lopez, Juan-Antonio
AU - Vivanco, Fernando
AU - Barderas, Maria G
PY - 2013/9/1
Y1 - 2013/9/1
N2 - One of the major challenges in cardiovascular medicine is to identify candidate biomarker proteins. Secretome analysis is particularly relevant in this search as it focuses on a subset of proteins released by a cell or tissue under certain conditions. The sample can be considered as a plasma subproteome and it provides a more direct approximation to the in vivo situation. Degenerative aortic stenosis is the most common worldwide cause of valve replacement. Using a proteomic analysis of the secretome from aortic stenosis valves we could identify candidate markers related to this pathology, which may facilitate early diagnosis and treatment. For this purpose, we have designed a method to validate the origin of secreted proteins, demonstrating their synthesis and release by the tissue and ruling out blood origin. The nLC-MS/MS analysis showed the labeling of 61 proteins, 82% of which incorporated the label in only one group. Western blot and selective reaction monitoring differential analysis, revealed a notable role of the extracellular matrix. Variation in particular proteins such as PEDF, cystatin and clusterin emphasizes the link between aortic stenosis and atherosclerosis. In particular, certain proteins variation in secretome levels correlates well, not only with label incorporation trend (only labeled in aortic stenosis group) but, more importantly, with alterations found in plasma from an independent cohort of samples, pointing to specific candidate markers to follow up in diagnosis, prognosis, and therapeutic intervention.
AB - One of the major challenges in cardiovascular medicine is to identify candidate biomarker proteins. Secretome analysis is particularly relevant in this search as it focuses on a subset of proteins released by a cell or tissue under certain conditions. The sample can be considered as a plasma subproteome and it provides a more direct approximation to the in vivo situation. Degenerative aortic stenosis is the most common worldwide cause of valve replacement. Using a proteomic analysis of the secretome from aortic stenosis valves we could identify candidate markers related to this pathology, which may facilitate early diagnosis and treatment. For this purpose, we have designed a method to validate the origin of secreted proteins, demonstrating their synthesis and release by the tissue and ruling out blood origin. The nLC-MS/MS analysis showed the labeling of 61 proteins, 82% of which incorporated the label in only one group. Western blot and selective reaction monitoring differential analysis, revealed a notable role of the extracellular matrix. Variation in particular proteins such as PEDF, cystatin and clusterin emphasizes the link between aortic stenosis and atherosclerosis. In particular, certain proteins variation in secretome levels correlates well, not only with label incorporation trend (only labeled in aortic stenosis group) but, more importantly, with alterations found in plasma from an independent cohort of samples, pointing to specific candidate markers to follow up in diagnosis, prognosis, and therapeutic intervention.
KW - Aged
KW - Aortic Valve
KW - Aortic Valve Stenosis
KW - Blotting, Western
KW - Extracellular Matrix Proteins
KW - Female
KW - Humans
KW - Inflammation Mediators
KW - Isotope Labeling
KW - Male
KW - Mass Spectrometry
KW - Peptide Hydrolases
KW - Protein Interaction Maps
KW - Proteome
KW - Proteomics
KW - Reproducibility of Results
KW - Time Factors
U2 - 10.1074/mcp.M113.027425
DO - 10.1074/mcp.M113.027425
M3 - Article
C2 - 23704777
VL - 12
SP - 2426
EP - 2439
JO - Molecular & Cellular Proteomics (MCP)
JF - Molecular & Cellular Proteomics (MCP)
SN - 1535-9476
IS - 9
ER -