ArticleJournal of clinical medicine2020
Plasma Metabolomic Profiling Associates Bicuspid Aortic Valve Disease and Ascending Aortic Dilation with a Decrease in Antioxidant Capacity.
Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 10 citations in OpenAlex.
- Prediction of Ascending Aortic Dilation and Analysis of Influencing Factors in Bicuspid Aortic Valve Patients Using an Explainable Machine Learning Model.Cardiology research and practice · 2026Article
- A machine learning predictive model based on conventional two-dimensional echocardiography and serum biomarkers for early detection of ascending aorta dilation in BAV patients.Frontiers in cardiovascular medicine · 2026Article
- miR-130a expression is related to aortic dilation in bicuspid aortic valve children.Pediatric research · 2024Article
- Specific Multiomic Profiling in Aortic Stenosis in Bicuspid Aortic Valve Disease.Biomedicines · 2024Article
- High-Throughput Metabolomics Applications in Pathogenesis and Diagnosis of Valvular Heart Disease.Reviews in cardiovascular medicine · 2023Review
- Glycoprotein and Lipoprotein Profiles Assessed by 1H-NMR and Its Relation to Ascending Aortic Dilatation in Bicuspid Aortic Valve Disease.Journal of clinical medicine · 2022Article
- The Predictive Role of Plasma Biomarkers in the Evolution of Aortopathies Associated with Congenital Heart Malformations.International journal of molecular sciences · 2022Review
- Urinary Metabolomics Study of Patients with Bicuspid Aortic Valve Disease.Molecules (Basel, Switzerland) · 2021Article
- Update in Biomolecular and Genetic Bases of Bicuspid Aortopathy.International journal of molecular sciences · 2021Review
- Multi-Omics Approaches to Define Calcific Aortic Valve Disease Pathogenesis.Circulation research · 2021Review
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe bicuspid aortic valve (BAV) is the most common cardiac congenital disease and is associated with an increased risk of developing ascending aorta dilation; which can have fatal consequences. Currently; no established risk biomarkers exist to facilitate the diagnosis and prognosis of BAV.
methodsUsing an untargeted metabolomic approach; we identified the levels of metabolites in plasma samples and compared them depending on the bicuspid or tricuspid morphology of the aortic valve. Including those patients with ascending aortic dilation and/or aortic stenosis (
resultsWe found that BAV patients; especially those with ascending aortic dilation; presented lower antioxidant capacity; as determined by decreased plasma levels of alpha-Tocopherol; paraoxonase 1 and high-density lipoprotein (HDL), as well as increased levels of C-reactive protein (CRP; a biomarker of inflammation) and endothelial microparticles (EMPs; an endothelial damage biomarker). By applying random forest analyses; we evaluated the significant screening capacity of alpha-Tocopherol; CRP and EMPs to classify patients depending on the morphology of the aortic valve. DISCUSSION: Our findings support the role of decreased antioxidant capacity; increased inflammation and endothelial damage in the pathogenesis of BAV and the progression of aortic dilation. Moreover; determining the plasma levels of alpha-Tocopherol; CRP and EMPs could improve BAV diagnosis in large populations.
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