The Predictive Role of Plasma Biomarkers in the Evolution of Aortopathies Associated with Congenital Heart Malformations.
Amalia FăgărășanMaria Oana SăsăranPublished in: International journal of molecular sciences (2022)
Dilatation of the aorta is a constantly evolving condition that can lead to the ultimate life-threatening event, acute aortic dissection. Recent research has tried to identify quantifiable biomarkers, with both diagnostic and prognostic roles in different aortopathies. Most studies have focused on the bicuspid aortic valve, the most frequent congenital heart disease (CHD), and majorly evolved around matrix metalloproteinases (MMPs). Other candidate biomarkers, such as asymmetric dimethylarginine, soluble receptor for advanced glycation end-products or transforming growth factor beta have also gained a lot of attention recently. Most of the aortic anomalies and dilatation-related studies have reported expression variation of tissular biomarkers. The ultimate goal remains, though, the identification of biomarkers among the serum plasma, with the upregulation of circulating MMP-1, MMP-2, MMP-9, tissue inhibitor of metalloproteinase-1 (TIMP-1), asymmetric dimethylarginine (ADMA), soluble receptor for advanced glycation end-products (sRAGE) and transforming growth factor beta (TGF-β) being reported in association to several aortopathies and related complications in recent research. These molecules are apparently quantifiable from the early ages and have been linked to several CHDs and hereditary aortopathies. Pediatric data on the matter is still limited, and further studies are warranted to elucidate the role of plasmatic biomarkers in the long term follow-up of potentially evolving congenital aortopathies.
Keyphrases
- transforming growth factor
- aortic valve
- aortic dissection
- epithelial mesenchymal transition
- congenital heart disease
- transcatheter aortic valve replacement
- poor prognosis
- transcatheter aortic valve implantation
- aortic stenosis
- aortic valve replacement
- cell proliferation
- heart failure
- liver failure
- case control
- working memory
- electronic health record
- pulmonary artery
- machine learning
- young adults
- binding protein
- deep learning
- artificial intelligence
- coronary artery
- solid state
- mechanical ventilation