Dataset Information

Ex Vivo Analysis of a Porcine Bicuspid Aortic Valve and Aneurysm Disease Model.

ABSTRACT: We identified an extremely rare congenital porcine type 0 lateral bicuspid aortic valve from a fresh porcine heart. Using a 3-dimensionally printed ex vivo left heart simulator, we analyzed valvular hemodynamics at baseline, in an aortic aneurysm disease model, and after valve-sparing root replacement. We showed that bicuspid aortic valve regurgitation due to aortic aneurysm can be successfully repaired without significant hemodynamic impairment using the valve-sparing root replacement technique in an individualized approach. Our results provide direct hemodynamic evidence supporting the use of valve-sparing root replacement for patients with bicuspid aortic valve regurgitation.

SUBMITTER: Zhu Y

PROVIDER: S-EPMC8357412 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Ex Vivo Analysis of a Porcine Bicuspid Aortic Valve and Aneurysm Disease Model.

Zhu Yuanjia Y Imbrie-Moore Annabel M AM Park Matthew H MH Paulsen Michael J MJ Wang Hanjay H MacArthur John W JW Woo Y Joseph YJ

The Annals of thoracic surgery 20200711 2

We identified an extremely rare congenital porcine type 0 lateral bicuspid aortic valve from a fresh porcine heart. Using a 3-dimensionally printed ex vivo left heart simulator, we analyzed valvular hemodynamics at baseline, in an aortic aneurysm disease model, and after valve-sparing root replacement. We showed that bicuspid aortic valve regurgitation due to aortic aneurysm can be successfully repaired without significant hemodynamic impairment using the valve-sparing root replacement technique ...[more]

PMID: 32663472

Similar Datasets

Project description: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.

Dataset Information

Ex Vivo Analysis of a Porcine Bicuspid Aortic Valve and Aneurysm Disease Model.

Publications

Ex Vivo Analysis of a Porcine Bicuspid Aortic Valve and Aneurysm Disease Model.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets