在大眼青光眼模型中定位视网膜神经节细胞体。

IF 1.8 3区 医学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Molecular Vision Pub Date : 2021-11-19 eCollection Date: 2021-01-01
Sara A Adelman, Kazuya Oikawa, Gopika Senthilkumar, Ralph Møller Trane, Leandro B C Teixeira, Gillian J McLellan
{"title":"在大眼青光眼模型中定位视网膜神经节细胞体。","authors":"Sara A Adelman,&nbsp;Kazuya Oikawa,&nbsp;Gopika Senthilkumar,&nbsp;Ralph Møller Trane,&nbsp;Leandro B C Teixeira,&nbsp;Gillian J McLellan","doi":"","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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<sup>2</sup> = 0.88) and solely FCG eyes (R<sup>2</sup> = 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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":18866,"journal":{"name":"Molecular Vision","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/0c/92/mv-v27-608.PMC8645189.pdf","citationCount":"0","resultStr":"{\"title\":\"Mapping retinal ganglion cell somas in a large-eyed glaucoma model.\",\"authors\":\"Sara A Adelman,&nbsp;Kazuya Oikawa,&nbsp;Gopika Senthilkumar,&nbsp;Ralph Møller Trane,&nbsp;Leandro B C Teixeira,&nbsp;Gillian J McLellan\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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<sup>2</sup> = 0.88) and solely FCG eyes (R<sup>2</sup> = 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.</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":18866,\"journal\":{\"name\":\"Molecular Vision\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2021-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/0c/92/mv-v27-608.PMC8645189.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Molecular Vision\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q4\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Vision","FirstCategoryId":"3","ListUrlMain":"","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/1/1 0:00:00","PubModel":"eCollection","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

目的:本研究的目的是为猫先天性青光眼(FCG)(一种自发性大眼青光眼模型)的视网膜神经节细胞(RGC)体细胞丢失研究确定一个稳健的、有代表性的兴趣区(ROI)。方法:从10只雌雄猫身上采集7只FCG眼和3只野生型(wt)眼。死后去核的眼睛立即在4%多聚甲醛中固定过夜,然后在0.1 M PBS中保存,温度为4°C。整片视网膜,甲酚紫尼氏染色,光镜成像。根据长期建立的形态学标准,人工鉴定RGCs的体细胞,并使用半自动方法进行定量;他们的坐标被用来创建密度图和视网膜地形图。相应眼睛的RGC轴突计数来自戊二醛固定、树脂包埋的视神经横截面,用0.1%对苯二胺(PPD)染色,采用半自动计数方法。通过线性回归评估视神经轴突总数与RGC体细胞计数之间的相关性。使用k-均值聚类算法识别视网膜ROI,并使用概率密度算法进一步定义。结果:与wt猫(平均= 117,045,范围:97,373-132,972)相比,FCG猫(平均= 83,244,范围:0-155,074)的RGC总体细胞计数的个体间差异更为明显。一般来说,FCG猫的RGC体细胞计数低于wt猫。视神经横截面上的RGC轴突计数低于所有猫(wt和FCG视网膜)的RGC体细胞总数,但与之密切相关;R2 = 0.88)和单独FCG眼(R2 = 0.92)。k-means聚类算法指出了颞视网膜内正常wt视网膜与fcg影响视网膜之间平均差异最大的区域,包括中央区域区域。结论:与其他物种一样,个体猫的RGC体数量和地形是不一样的,但我们在颞视网膜中发现了一个ROI,为未来在大眼先天性青光眼模型中RGC体丢失或保存的研究提供了基础。为促进本FCG模型的研究而完善和建立的许多方法将广泛适用于其他大眼睛模型的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

摘要图片

摘要图片

分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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 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; R2 = 0.88) and solely FCG eyes (R2 = 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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Molecular Vision
Molecular Vision 生物-生化与分子生物学
CiteScore
4.40
自引率
0.00%
发文量
25
审稿时长
1 months
期刊介绍: Molecular Vision is a peer-reviewed journal dedicated to the dissemination of research results in molecular biology, cell biology, and the genetics of the visual system (ocular and cortical). Molecular Vision publishes articles presenting original research that has not previously been published and comprehensive articles reviewing the current status of a particular field or topic. Submissions to Molecular Vision are subjected to rigorous peer review. Molecular Vision does NOT publish preprints. For authors, Molecular Vision provides a rapid means of communicating important results. Access to Molecular Vision is free and unrestricted, allowing the widest possible audience for your article. Digital publishing allows you to use color images freely (and without fees). Additionally, you may publish animations, sounds, or other supplementary information that clarifies or supports your article. Each of the authors of an article may also list an electronic mail address (which will be updated upon request) to give interested readers easy access to authors.
期刊最新文献
Retraction: Swati Arora, Nagendra Verma. Exosomal microRNAs as potential biomarkers and therapeutic targets in corneal diseases. Molecular Vision 2024; 30:92-106. EphB1 causes retinal damage through inflammatory pathways in the retina and retinal Müller cells. Uveal melanoma cell lines Mel270 and 92.1 exhibit a mesenchymal phenotype and sensitivity to the cytostatic effects of transforming growth factor beta in vitro. Precise longitudinal monitoring of corneal change through in vivo confocal microscopy in a rat dry eye disease model. The generation and characterization of a transgenic zebrafish line with lens-specific Cre expression.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1