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Mapping retinal ganglion cell somas in a large-eyed glaucoma model
PURPOSE: The purpose of this study was to identify a robust, representative region of interest (ROI) for studies of retinal ganglion cell (RGC) soma loss in feline congenital glaucoma (FCG), a spontaneous, large-eyed glaucoma model. METHODS: Seven FCG and three wild-type (wt) eyes were collected fro...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Vision
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8645189/ https://www.ncbi.nlm.nih.gov/pubmed/34924741 |
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author | Adelman, Sara A. Oikawa, Kazuya Senthilkumar, Gopika Trane, Ralph Møller Teixeira, Leandro B.C. McLellan, Gillian J. |
author_facet | Adelman, Sara A. Oikawa, Kazuya Senthilkumar, Gopika Trane, Ralph Møller Teixeira, Leandro B.C. McLellan, Gillian J. |
author_sort | Adelman, Sara A. |
collection | PubMed |
description | PURPOSE: The purpose of this study was to identify a robust, representative region of interest (ROI) for studies of retinal ganglion cell (RGC) soma loss in feline congenital glaucoma (FCG), a spontaneous, large-eyed glaucoma model. METHODS: Seven FCG and three wild-type (wt) eyes were collected from 10 adult cats of both sexes. Eyes enucleated postmortem were immediately fixed overnight in 4% paraformaldehyde and then stored in 0.1 M PBS at 4 °C. The retinas were wholemounted, Nissl stained with cresyl violet, and imaged using light microscopy. Somas of RGCs were manually identified according to long-established morphological criteria and quantified using a semiautomated method; their coordinates were used to create density maps and plots of the retinal topography. The RGC axon counts for the corresponding eyes were obtained from glutaraldehyde-fixed, resin-embedded optic nerve cross-sections stained with 0.1% p-phenylenediamine (PPD) using a semiautomated counting method. Correlations between total optic nerve axons and RGC soma counts were assessed by linear regression. A k-means cluster algorithm was used to identify a retinal ROI, with further definition using a probability density algorithm. RESULTS: Interindividual variability in RGC total soma counts was more pronounced in FCG cats (mean = 83,244, range: 0–155,074) than in wt cats (mean = 117,045, range: 97,373–132,972). In general, RGC soma counts were lower in FCG cats than they were in wt cats. RGC axon counts in the optic nerve cross-sections were lower than, but strongly correlated to, the total RGC soma count across all cats (in wt and FCG retinas; R(2) = 0.88) and solely FCG eyes (R(2) = 0.92). The k-means cluster algorithm indicated a region of the greatest mean difference between the normal wt retinas and FCG-affected retinas within the temporal retina, incorporating the region of the area centralis. CONCLUSIONS: As in other species, RGC soma count and topography are heterogeneous between individual cats, but we identified an ROI in the temporal retina for future studies of RGC soma loss or preservation in a large-eyed model of congenital glaucoma. Many of the methods refined and established to facilitate studies in this FCG model will be broadly applicable to studies in other large-eyed models. |
format | Online Article Text |
id | pubmed-8645189 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Molecular Vision |
record_format | MEDLINE/PubMed |
spelling | pubmed-86451892021-12-17 Mapping retinal ganglion cell somas in a large-eyed glaucoma model Adelman, Sara A. Oikawa, Kazuya Senthilkumar, Gopika Trane, Ralph Møller Teixeira, Leandro B.C. McLellan, Gillian J. Mol Vis Research Article PURPOSE: The purpose of this study was to identify a robust, representative region of interest (ROI) for studies of retinal ganglion cell (RGC) soma loss in feline congenital glaucoma (FCG), a spontaneous, large-eyed glaucoma model. METHODS: Seven FCG and three wild-type (wt) eyes were collected from 10 adult cats of both sexes. Eyes enucleated postmortem were immediately fixed overnight in 4% paraformaldehyde and then stored in 0.1 M PBS at 4 °C. The retinas were wholemounted, Nissl stained with cresyl violet, and imaged using light microscopy. Somas of RGCs were manually identified according to long-established morphological criteria and quantified using a semiautomated method; their coordinates were used to create density maps and plots of the retinal topography. The RGC axon counts for the corresponding eyes were obtained from glutaraldehyde-fixed, resin-embedded optic nerve cross-sections stained with 0.1% p-phenylenediamine (PPD) using a semiautomated counting method. Correlations between total optic nerve axons and RGC soma counts were assessed by linear regression. A k-means cluster algorithm was used to identify a retinal ROI, with further definition using a probability density algorithm. RESULTS: Interindividual variability in RGC total soma counts was more pronounced in FCG cats (mean = 83,244, range: 0–155,074) than in wt cats (mean = 117,045, range: 97,373–132,972). In general, RGC soma counts were lower in FCG cats than they were in wt cats. RGC axon counts in the optic nerve cross-sections were lower than, but strongly correlated to, the total RGC soma count across all cats (in wt and FCG retinas; R(2) = 0.88) and solely FCG eyes (R(2) = 0.92). The k-means cluster algorithm indicated a region of the greatest mean difference between the normal wt retinas and FCG-affected retinas within the temporal retina, incorporating the region of the area centralis. CONCLUSIONS: As in other species, RGC soma count and topography are heterogeneous between individual cats, but we identified an ROI in the temporal retina for future studies of RGC soma loss or preservation in a large-eyed model of congenital glaucoma. Many of the methods refined and established to facilitate studies in this FCG model will be broadly applicable to studies in other large-eyed models. Molecular Vision 2021-11-19 /pmc/articles/PMC8645189/ /pubmed/34924741 Text en Copyright © 2021 Molecular Vision. https://creativecommons.org/licenses/by-nc-nd/3.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited, used for non-commercial purposes, and is not altered or transformed. |
spellingShingle | Research Article Adelman, Sara A. Oikawa, Kazuya Senthilkumar, Gopika Trane, Ralph Møller Teixeira, Leandro B.C. McLellan, Gillian J. Mapping retinal ganglion cell somas in a large-eyed glaucoma model |
title | Mapping retinal ganglion cell somas in a large-eyed glaucoma model |
title_full | Mapping retinal ganglion cell somas in a large-eyed glaucoma model |
title_fullStr | Mapping retinal ganglion cell somas in a large-eyed glaucoma model |
title_full_unstemmed | Mapping retinal ganglion cell somas in a large-eyed glaucoma model |
title_short | Mapping retinal ganglion cell somas in a large-eyed glaucoma model |
title_sort | mapping retinal ganglion cell somas in a large-eyed glaucoma model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8645189/ https://www.ncbi.nlm.nih.gov/pubmed/34924741 |
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