| Literature DB >> 35233690 |
Rebecca L Harper1, Elisa A Ferrante1, Manfred Boehm2.
Abstract
As the field of medicine is striving forward heralded by a new era of next-generation sequencing (NGS) and integrated technologies such as bioprinting and biological material development, the utility of rare monogenetic vascular disease modeling in this landscape is starting to emerge. With their genetic simplicity and broader applicability, these patient-specific models are at the forefront of modern personalized medicine. As a collective, rare diseases are a significant burden on global healthcare systems, and rare vascular diseases make up a significant proportion of this. High costs are due to a lengthy diagnostic process, affecting all ages from infants to adults, as well as the severity and chronic nature of the disease. Their complex nature requires sophisticated disease models and integrated approaches involving multidisciplinary teams. Here, we review these emerging vascular disease models, how they contribute to our understanding of the pathomechanisms in rare vascular diseases and provide useful platforms for therapeutic discovery.Entities:
Keywords: Endothelia cell; Fibroblast; Monogenetic vascular disease; Rare vascular disease modeling; Smooth muscle cell; Vascular organoid; iPSC
Mesh:
Year: 2022 PMID: 35233690 PMCID: PMC8887661 DOI: 10.1007/s00281-022-00925-9
Source DB: PubMed Journal: Semin Immunopathol ISSN: 1863-2297 Impact factor: 11.759
Fig. 1Patient-specific translational disease modeling pipeline. Starting at the point of the patient, a clinical evaluation is made to ascertain the pathophysiology, severity, and baselines of the patient’s condition. Samples are then taken for NGS evaluation where disease-causing variants can be identified, and novel molecular pathways are discovered, leading to the identification of new therapeutic targets. In parallel to this, patient samples are also taken to establish both in vitro and in vivo models. These can be used to further investigate molecular pathways, be used for high-throughput screening, and contribute to proof-of-concept therapy intervention studies. This pipeline is geared to feedback therapy options to the patient with the hope to relieve or even cure the disease. Created with BioRender.com