A Microphysiological HHT-on-a-Chip Platform Recapitulates Patient Vascular Lesions.
Christopher C W HughesJennifer S FangChristopher HatchJillian AndrejecskWilliam Van TrigtDamie JuatYu-Hsi ChenSatomi MatsumotoAbraham Phillip LeePublished in: Research square (2024)
Hereditary Hemorrhagic Telangiectasia (HHT) is a rare congenital disease in which fragile vascular malformations (VM) - including small telangiectasias and large arteriovenous malformations (AVMs) - focally develop in multiple organs. There are few treatment options and no cure for HHT. Most HHT patients are heterozygous for loss-of-function mutations affecting Endoglin (ENG) or Alk1 (ACVRL1); however, why loss of these genes manifests as VMs remains poorly understood. To complement ongoing work in animal models, we have developed a fully human, cell-based microphysiological model based on our Vascularized Micro-organ (VMO) platform (the HHT-VMO) that recapitulates HHT patient VMs. Using inducible ACVRL1 -knockdown, we control timing and extent of endogenous Alk1 expression in primary human endothelial cells (EC). Resulting HHT-VMO VMs develop over several days. Interestingly, in chimera experiments AVM-like lesions can be comprised of both Alk1-intact and Alk1-deficient EC, suggesting possible cell non-autonomous effects. Single cell RNA sequencing data are consistent with microvessel pruning/regression as contributing to AVM formation, while loss of PDGFB implicates mural cell recruitment. Finally, lesion formation is blocked by the VEGFR inhibitor pazopanib, mirroring positive effects of this drug in patients. In summary, we have developed a novel HHT-on-a-chip model that faithfully reproduces HHT patient lesions and that can be used to better understand HHT disease biology and identify potential new HHT drugs. Word Count: 213 Classification. Biological Sciences, Cell Biology.
Keyphrases
- single cell
- endothelial cells
- high throughput
- rna seq
- end stage renal disease
- cell therapy
- newly diagnosed
- chronic kidney disease
- advanced non small cell lung cancer
- prognostic factors
- stem cells
- deep learning
- climate change
- risk assessment
- circulating tumor cells
- big data
- high glucose
- patient reported outcomes
- artificial intelligence
- peripheral blood
- long non coding rna