Nanoscale Structural Comparison of Fibrillin-1 Microfibrils Isolated from Marfan and Non-Marfan Syndrome Human Aorta.
Cristina-Maria ȘuleaZsolt MártonfalviCsilla CsányiDóra HaluszkaMiklós PólosBence AggRoland StenglKálmán BenkeZoltán SzabolcsMiklós S Z KellermayerPublished in: International journal of molecular sciences (2023)
Fibrillin-1 microfibrils are essential elements of the extracellular matrix serving as a scaffold for the deposition of elastin and endowing connective tissues with tensile strength and elasticity. Mutations in the fibrillin-1 gene (FBN1) are linked to Marfan syndrome (MFS), a systemic connective tissue disorder that, besides other heterogeneous symptoms, usually manifests in life-threatening aortic complications. The aortic involvement may be explained by a dysregulation of microfibrillar function and, conceivably, alterations in the microfibrils' supramolecular structure. Here, we present a nanoscale structural characterization of fibrillin-1 microfibrils isolated from two human aortic samples with different FBN1 gene mutations by using atomic force microscopy, and their comparison with microfibrillar assemblies purified from four non-MFS human aortic samples. Fibrillin-1 microfibrils displayed a characteristic "beads-on-a-string" appearance. The microfibrillar assemblies were investigated for bead geometry (height, length, and width), interbead region height, and periodicity. MFS fibrillin-1 microfibrils had a slightly higher mean bead height, but the bead length and width, as well as the interbead height, were significantly smaller in the MFS group. The mean periodicity varied around 50-52 nm among samples. The data suggest an overall thinner and presumably more frail structure for the MFS fibrillin-1 microfibrils, which may play a role in the development of MFS-related aortic symptomatology.
Keyphrases
- atomic force microscopy
- aortic dissection
- aortic valve
- endothelial cells
- body mass index
- pulmonary artery
- extracellular matrix
- left ventricular
- induced pluripotent stem cells
- high speed
- gene expression
- single molecule
- pulmonary arterial hypertension
- case report
- electronic health record
- machine learning
- transcription factor
- copy number
- genome wide
- photodynamic therapy
- big data
- energy transfer
- artificial intelligence