ArticleJournal of cardiothoracic surgery2018
Candidate plasma biomarkers for predicting ascending aortic aneurysm in bicuspid aortic valve disease.
Article in Journal of cardiothoracic surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Level of serum soluble lumican and risks of perioperative complications in patients receiving aortic surgery.PloS one · 2021Trial
- Graph Neural Networks Reveal Candidate Protein Biomarkers Underlying Abdominal Aortic Aneurysm Biology.Computational and structural biotechnology journal · 2026Article
- Proteoglycans as Biomarkers of Medial Degeneration in Acute Stanford Type A Aortic Dissection.Reviews in cardiovascular medicine · 2025Review
- Gelsolin as a predictor of arteriovenous fistula maturation.Clinical and experimental nephrology · 2025Article
- Molecular cues for immune cells from small leucine-rich repeat proteoglycans in their extracellular matrix-associated and free forms.Matrix biology : journal of the International Society for Matrix Biology · 2023Review
- Update on biomarkers of bicuspid aortic disease: still a long road to run?Annals of cardiothoracic surgery · 2022Article
- The Predictive Role of Plasma Biomarkers in the Evolution of Aortopathies Associated with Congenital Heart Malformations.International journal of molecular sciences · 2022Review
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundBicuspid aortic valve (BAV) disease is the most common congenital cardiac abnormality affecting 1-2% of the population and is associated with a significantly increased risk of ascending aortic aneurysm. However, predicting which patients will develop aneurysms remains a challenge. This pilot study aimed to identify candidate plasma biomarkers for monitoring ascending aortic diameter and predicting risk of future aneurysm in BAV patients.
methodsPlasma samples were collected pre-operatively from BAV patients undergoing aortic valve surgery. Maximum ascending aortic diameter was measured on pre-operative transoesophageal echocardiography. Maximum diameter ≥ 45 mm was classified as aneurysmal. Sequential Window Acquisition of all THeoretical Mass Spectra (SWATH-MS), an advanced mass spectrometry technique, was used to identify and quantify all proteins within the samples. Protein abundance and aortic diameter were correlated using logistic regression. Levene's test was used to identify proteins demonstrating low abundance variability in the aneurysmal patients (consistent expression in disease), and high variability in the non-aneurysmal patients (differential expression between 'at risk' and not 'at risk' patients).
resultsFifteen plasma samples were collected (seven non-aneurysmal and 8 aneurysmal BAV patients). The mean age of the patients was 55.5 years and the majority were female (10/15, 67%). Four proteins (haemoglobin subunits alpha, beta and delta and mannan-binding lectin serine protease) correlated significantly with maximal ascending aortic diameter (p < 0.05, r = 0.5-0.6). Five plasma proteins demonstrated significantly lower variability in the aneurysmal group and may indicate increased risk of aneurysm in non-aneurysmal patients (DNA-dependent protein kinase catalytic subunit, lumican, tetranectin, gelsolin and cartilage acidic protein 1). A further 7 proteins were identified only in the aneurysmal group (matrin-3, glucose-6-phosphate isomerase, coactosin-like protein, peptidyl-prolyl cis-trans isomerase A, golgin subfamily B member 1, myeloperoxidase and 2'-deoxynucleoside 5'-phosphate N-hydrolase 1).
conclusionsThis study is the first to identify candidate plasma biomarkers for predicting aortic diameter and risk of future aneurysm in BAV patients. It provides valuable pilot data and proof of principle that could be used to design a large-scale prospective investigation. Ultimately, a more affordable 'off-the-shelf' follow-on blood assay could then be developed in place of SWATH-MS, for use in the healthcare setting.
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