Nature Communications (May 2023)

Single-cell analysis reveals inflammatory interactions driving macular degeneration

  • Manik Kuchroo,
  • Marcello DiStasio,
  • Eric Song,
  • Eda Calapkulu,
  • Le Zhang,
  • Maryam Ige,
  • Amar H. Sheth,
  • Abdelilah Majdoubi,
  • Madhvi Menon,
  • Alexander Tong,
  • Abhinav Godavarthi,
  • Yu Xing,
  • Scott Gigante,
  • Holly Steach,
  • Jessie Huang,
  • Guillaume Huguet,
  • Janhavi Narain,
  • Kisung You,
  • George Mourgkos,
  • Rahul M. Dhodapkar,
  • Matthew J. Hirn,
  • Bastian Rieck,
  • Guy Wolf,
  • Smita Krishnaswamy,
  • Brian P. Hafler

DOI
https://doi.org/10.1038/s41467-023-37025-7
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 22

Abstract

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Abstract 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.