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Single-cell analysis reveals inflammatory interactions driving macular degeneration
Due to commonalities in pathophysiology, age-related macular degeneration (AMD) represents a uniquely accessible model to investigate therapies for neurodegenerative diseases, leading us to examine whether pathways of disease progression are shared across neurodegenerative conditions. Here we use si...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10162998/ https://www.ncbi.nlm.nih.gov/pubmed/37147305 http://dx.doi.org/10.1038/s41467-023-37025-7 |
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author | Kuchroo, Manik DiStasio, Marcello Song, Eric Calapkulu, Eda Zhang, Le Ige, Maryam Sheth, Amar H. Majdoubi, Abdelilah Menon, Madhvi Tong, Alexander Godavarthi, Abhinav Xing, Yu Gigante, Scott Steach, Holly Huang, Jessie Huguet, Guillaume Narain, Janhavi You, Kisung Mourgkos, George Dhodapkar, Rahul M. Hirn, Matthew J. Rieck, Bastian Wolf, Guy Krishnaswamy, Smita Hafler, Brian P. |
author_facet | Kuchroo, Manik DiStasio, Marcello Song, Eric Calapkulu, Eda Zhang, Le Ige, Maryam Sheth, Amar H. Majdoubi, Abdelilah Menon, Madhvi Tong, Alexander Godavarthi, Abhinav Xing, Yu Gigante, Scott Steach, Holly Huang, Jessie Huguet, Guillaume Narain, Janhavi You, Kisung Mourgkos, George Dhodapkar, Rahul M. Hirn, Matthew J. Rieck, Bastian Wolf, Guy Krishnaswamy, Smita Hafler, Brian P. |
author_sort | Kuchroo, Manik |
collection | PubMed |
description | Due to commonalities in pathophysiology, age-related macular degeneration (AMD) represents a uniquely accessible model to investigate therapies for neurodegenerative diseases, leading us to examine whether pathways of disease progression are shared across neurodegenerative conditions. Here we use single-nucleus RNA sequencing to profile lesions from 11 postmortem human retinas with age-related macular degeneration and 6 control retinas with no history of retinal disease. We create a machine-learning pipeline based on recent advances in data geometry and topology and identify activated glial populations enriched in the early phase of disease. Examining single-cell data from Alzheimer’s disease and progressive multiple sclerosis with our pipeline, we find a similar glial activation profile enriched in the early phase of these neurodegenerative diseases. In late-stage age-related macular degeneration, we identify a microglia-to-astrocyte signaling axis mediated by interleukin-1β which drives angiogenesis characteristic of disease pathogenesis. We validated this mechanism using in vitro and in vivo assays in mouse, identifying a possible new therapeutic target for AMD and possibly other neurodegenerative conditions. Thus, due to shared glial states, the retina provides a potential system for investigating therapeutic approaches in neurodegenerative diseases. |
format | Online Article Text |
id | pubmed-10162998 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101629982023-05-07 Single-cell analysis reveals inflammatory interactions driving macular degeneration Kuchroo, Manik DiStasio, Marcello Song, Eric Calapkulu, Eda Zhang, Le Ige, Maryam Sheth, Amar H. Majdoubi, Abdelilah Menon, Madhvi Tong, Alexander Godavarthi, Abhinav Xing, Yu Gigante, Scott Steach, Holly Huang, Jessie Huguet, Guillaume Narain, Janhavi You, Kisung Mourgkos, George Dhodapkar, Rahul M. Hirn, Matthew J. Rieck, Bastian Wolf, Guy Krishnaswamy, Smita Hafler, Brian P. Nat Commun Article Due to commonalities in pathophysiology, age-related macular degeneration (AMD) represents a uniquely accessible model to investigate therapies for neurodegenerative diseases, leading us to examine whether pathways of disease progression are shared across neurodegenerative conditions. Here we use single-nucleus RNA sequencing to profile lesions from 11 postmortem human retinas with age-related macular degeneration and 6 control retinas with no history of retinal disease. We create a machine-learning pipeline based on recent advances in data geometry and topology and identify activated glial populations enriched in the early phase of disease. Examining single-cell data from Alzheimer’s disease and progressive multiple sclerosis with our pipeline, we find a similar glial activation profile enriched in the early phase of these neurodegenerative diseases. In late-stage age-related macular degeneration, we identify a microglia-to-astrocyte signaling axis mediated by interleukin-1β which drives angiogenesis characteristic of disease pathogenesis. We validated this mechanism using in vitro and in vivo assays in mouse, identifying a possible new therapeutic target for AMD and possibly other neurodegenerative conditions. Thus, due to shared glial states, the retina provides a potential system for investigating therapeutic approaches in neurodegenerative diseases. Nature Publishing Group UK 2023-05-05 /pmc/articles/PMC10162998/ /pubmed/37147305 http://dx.doi.org/10.1038/s41467-023-37025-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Kuchroo, Manik DiStasio, Marcello Song, Eric Calapkulu, Eda Zhang, Le Ige, Maryam Sheth, Amar H. Majdoubi, Abdelilah Menon, Madhvi Tong, Alexander Godavarthi, Abhinav Xing, Yu Gigante, Scott Steach, Holly Huang, Jessie Huguet, Guillaume Narain, Janhavi You, Kisung Mourgkos, George Dhodapkar, Rahul M. Hirn, Matthew J. Rieck, Bastian Wolf, Guy Krishnaswamy, Smita Hafler, Brian P. Single-cell analysis reveals inflammatory interactions driving macular degeneration |
title | Single-cell analysis reveals inflammatory interactions driving macular degeneration |
title_full | Single-cell analysis reveals inflammatory interactions driving macular degeneration |
title_fullStr | Single-cell analysis reveals inflammatory interactions driving macular degeneration |
title_full_unstemmed | Single-cell analysis reveals inflammatory interactions driving macular degeneration |
title_short | Single-cell analysis reveals inflammatory interactions driving macular degeneration |
title_sort | single-cell analysis reveals inflammatory interactions driving macular degeneration |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10162998/ https://www.ncbi.nlm.nih.gov/pubmed/37147305 http://dx.doi.org/10.1038/s41467-023-37025-7 |
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