The Genetic Architecture of Vascular Anomalies: Current Data and Future Therapeutic Perspectives Correlated with Molecular Mechanisms.
Lăcrămioara Ionela ButnariuEusebiu Vlad GorduzaLaura FloreaElena TarcaȘtefana-Maria MoisăLaura Mihaela TrandafirSimona StoleriuMinerva Codruţa BădescuAlina-Costina LucaSetalia PopaIulian RaduElena CojocaruPublished in: International journal of molecular sciences (2022)
Vascular anomalies (VAs) are morphogenesis defects of the vascular system (arteries, capillaries, veins, lymphatic vessels) singularly or in complex combinations, sometimes with a severe impact on the quality of life. The progress made in recent years with the identification of the key molecular pathways (PI3K/AKT/mTOR and RAS/BRAF/MAPK/ERK) and the gene mutations that lead to the appearance of VAs has allowed the deciphering of their complex genetic architecture. Understanding these mechanisms is critical both for the correct definition of the phenotype and classification of VAs, as well as for the initiation of an optimal therapy and the development of new targeted therapies. The purpose of this review is to present in synthesis the current data related to the genetic factors involved in the etiology of VAs, as well as the possible directions for future research. We analyzed the data from the literature related to VAs, using databases (Google Scholar, PubMed, MEDLINE, OMIM, MedGen, Orphanet) and ClinicalTrials.gov. The obtained results revealed that the phenotypic variability of VAs is correlated with genetic heterogeneity. The identification of new genetic factors and the molecular mechanisms in which they intervene, will allow the development of modern therapies that act targeted as a personalized therapy. We emphasize the importance of the geneticist in the diagnosis and treatment of VAs, as part of a multidisciplinary team involved in the management of VAs.
Keyphrases
- genome wide
- copy number
- big data
- electronic health record
- signaling pathway
- systematic review
- dna methylation
- machine learning
- stem cells
- single cell
- gene expression
- cell proliferation
- data analysis
- current status
- palliative care
- pi k akt
- mesenchymal stem cells
- drug delivery
- artificial intelligence
- bone marrow
- drug induced