Unveiling impaired vascular function and cellular heterogeneity in diabetic donor-derived vascular organoids.
Hojjat Naderi-MeshkinWiwit A Wahyu SetyaningsihAndrew YacoubGarrett CarneyVictoria A CorneliusClare-Ann NelsonSophia KelainiClare DonaghyPhilip D DunneRaheleh AmirkhahAnna ZampetakiLingfang ZengAlan W StittNoemi LoisDavid J GrieveAndriana MargaritiPublished in: Stem cells (Dayton, Ohio) (2024)
Vascular organoids (VOs), derived from induced pluripotent stem cells (iPSCs), hold promise as in vitro disease models and drug screening platforms. However, their ability to faithfully recapitulate human vascular disease and cellular composition remains unclear. In this study, we demonstrate that VOs derived from iPSCs of donors with diabetes (DB-VOs) exhibit impaired vascular function compared to non-diabetic VOs (ND-VOs). DB-VOs display elevated levels of reactive oxygen species (ROS), heightened mitochondrial content and activity, increased proinflammatory cytokines, and reduced blood perfusion recovery in vivo. Through comprehensive single-cell RNA sequencing, we uncover molecular and functional differences, as well as signaling networks, between vascular cell types and clusters within DB-VOs. Our analysis identifies major vascular cell types (endothelial cells [ECs], pericytes, and vascular smooth muscle cells) within VOs, highlighting the dichotomy between ECs and mural cells. We also demonstrate the potential need for additional inductions using organ-specific differentiation factors to promote organ-specific identity in VOs. Furthermore, we observe basal heterogeneity within VOs and significant differences between DB-VOs and ND-VOs. Notably, we identify a subpopulation of ECs specific to DB-VOs, showing overrepresentation in the ROS pathway and underrepresentation in the angiogenesis hallmark, indicating signs of aberrant angiogenesis in diabetes. Our findings underscore the potential of VOs for modeling diabetic vasculopathy, emphasize the importance of investigating cellular heterogeneity within VOs for disease modeling and drug discovery, and provide evidence of GAP43 (neuromodulin) expression in ECs, particularly in DB-VOs, with implications for vascular development and disease.
Keyphrases
- rna seq
- single cell
- endothelial cells
- high throughput
- induced pluripotent stem cells
- type diabetes
- reactive oxygen species
- stem cells
- wound healing
- magnetic resonance imaging
- induced apoptosis
- adipose tissue
- vascular endothelial growth factor
- skeletal muscle
- machine learning
- computed tomography
- glycemic control
- artificial intelligence
- climate change
- adverse drug
- endoplasmic reticulum stress