ArticleMolecular & cellular proteomics : MCP2013
Modification of the secretion pattern of proteases, inflammatory mediators, and extracellular matrix proteins by human aortic valve is key in severe aortic stenosis.
Article in Molecular & cellular proteomics : MCP, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 25 citations in OpenAlex.
- Focusing on the Native Matrix Proteins in Calcific Aortic Valve Stenosis.JACC. Basic to translational science · 2023Review
- Article
- Prioritization of Candidate Biomarkers for Degenerative Aortic Stenosis through a Systems Biology-Based In-Silico Approach.Journal of personalized medicine · 2022Article
- Multi-omics ofFrontiers in cardiovascular medicine · 2022Article
- Models and Techniques to Study Aortic Valve CalcificationFrontiers in pharmacology · 2022Review
- Multi-Omics Approaches to Define Calcific Aortic Valve Disease Pathogenesis.Circulation research · 2021Review
- Proteomic Architecture of Valvular Extracellular Matrix: FNDC1 and MXRA5 Are New Biomarkers of Aortic Stenosis.JACC. Basic to translational science · 2021Article
- Dissecting Calcific Aortic Valve Disease-The Role, Etiology, and Drivers of Valvular Fibrosis.Frontiers in cardiovascular medicine · 2021Review
- Patient Management in Aortic Stenosis: Towards Precision Medicine Through Protein Analysis, Imaging and Diagnostic Tests.Journal of clinical medicine · 2020Review
- Incremental Predictive Value of Longitudinal Axis Strain and Late Gadolinium Enhancement Using Standard CMR Imaging in Patients with Aortic Stenosis.Journal of clinical medicine · 2019Article
- A comprehensive study of calcific aortic stenosis: from rabbit to human samples.Disease models & mechanisms · 2018Article
- Proteomic Alterations Associated with Biomechanical Dysfunction are Early Processes in the Emilin1 Deficient Mouse Model of Aortic Valve Disease.Annals of biomedical engineering · 2017Article
- A clinical perspective on the utility of alpha 1 antichymotrypsin for the early diagnosis of calcific aortic stenosis.Clinical proteomics · 2017Article
- Proteomic analysis in cardiovascular research.Surgery today · 2016Review
- iTRAQ proteomic analysis of extracellular matrix remodeling in aortic valve disease.Scientific reports · 2015Article
- The plasma proteomic signature as a strategic tool for early diagnosis of acute coronary syndrome.Proteome science · 2014Article
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Authors and funding
11 authors at 5 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
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.
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