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DOI 10.1073/pnas.2117553119

Медицинская библиотека · Proceedings of the National Academy of Sciences of the United States of America · 2022

Single-cell-resolution map of human retinal pigment epithelium helps discover subpopulations with differential disease sensitivity.

Ortolan Davide, Sharma Ruchi, Volkov Andrei, Maminishkis Arvydas, Hotaling Nathan A, Huryn Laryssa A, Cukras Catherine, Di Marco Stefano, Bisti Silvia, Bharti Kapil

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

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.

Для цитирования: Ortolan Davide, Sharma Ruchi, Volkov Andrei, Maminishkis Arvydas, Hotaling Nathan A, Huryn Laryssa A, Cukras Catherine, Di Marco Stefano, Bisti Silvia, Bharti Kapil. Single-cell-resolution map of human retinal pigment epithelium helps discover subpopulations with differential disease sensitivity.. Proceedings of the National Academy of Sciences of the United States of America. 2022. DOI: 10.1073/pnas.2117553119.

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