Single-cell-resolution map of human retinal pigment epithelium helps discover subpopulations with differential disease sensitivity.
Davide OrtolanRuchi SharmaAndrei VolkovArvydas MaminishkisNathan A HotalingLaryssa A HurynCatherine CukrasStefano Di MarcoSilvia BistiKapil BhartiPublished in: Proceedings of the National Academy of Sciences of the United States of America (2022)
Regional phenotypic and functional differences in the retinal pigment epithelium (RPE) monolayer have been suggested to account for regional susceptibility in ocular diseases such as age-related macular degeneration (AMD), late-onset retinal degeneration (L-ORD), and choroideremia (CHM). However, a comprehensive description of human topographical RPE diversity is not yet available, thus limiting the understanding of regional RPE diversity and degenerative disease sensitivity in the eye. To develop a complete morphometric RPE map of the human eye, artificial intelligence–based software was trained to recognize, segment, and analyze RPE borders. Five statistically different, concentric RPE subpopulations (P1 to P5) were identified using cell area as a parameter, including a subpopulation (P4) with cell area comparable to that of macular cells in the far periphery of the eye. This work provides a complete reference map of human RPE subpopulations and their location in the eye. In addition, the analysis of cadaver non-AMD and AMD eyes and ultra-widefield fundus images of patients revealed differential vulnerability of the five RPE subpopulations to different retinal diseases.
Keyphrases
- single cell
- endothelial cells
- optical coherence tomography
- age related macular degeneration
- artificial intelligence
- late onset
- diabetic retinopathy
- pluripotent stem cells
- deep learning
- end stage renal disease
- machine learning
- early onset
- stem cells
- chronic kidney disease
- optic nerve
- cell proliferation
- high resolution
- ejection fraction
- newly diagnosed
- mesenchymal stem cells
- oxidative stress
- high throughput
- peritoneal dialysis
- body composition
- cell cycle arrest
- resistance training