PURPOSE: Despite popularity of optical coherence tomography (OCT) in glaucoma studies, it's unclear how well OCT-derived metrics compare to traditional measures of retinal ganglion cell (RGC) abundance. Here, Diversity Outbred (J:DO) mice are used to directly compare ganglion cell complex (GCC) thickness measured by OCT to metrics of retinal anatomy measured ex vivo with retinal wholemounts and optic nerve histology. METHODS: J:DO mice (n = 48) underwent fundoscopic and OCT examinations, with automated segmentation of GCC thickness. RGC axons were quantified from para-phenylenediamine-stained optic nerve cross-sections and somas from BRN3A-immunolabeled retinal wholemounts, with total inner retinal cellularity assessed by TO-PRO and subsequent hematoxylin staining. RESULTS: J:DO tissues lacked overt disease. GCC thickness, RGC abundance, and total cell abundance varied broadly across individuals. GCC thickness correlated significantly to RGC somal density (r = 0.58) and axon number (r = 0.44), but not total cell density. Retinal area and nerve cross-sectional area varied widely. No metrics were significantly influenced by sex. In bilateral comparisons, GCC thickness (r = 0.95), axon (r = 0.72), and total cell density (r = 0.47) correlated significantly within individuals. CONCLUSIONS: Amongst outbred mice, OCT-derived measurements of GCC thickness correlate significantly to RGC somal and axon abundance. Factors limiting correlation are likely both biological and methodological, including differences in retinal area that distort sampling-based estimates of RGC abundance. TRANSLATIONAL RELEVANCE: There are significant-but imperfect-correlations between GCC thickness and RGC abundance across genetic contexts in mice, highlighting valid uses and ongoing challenges for meaningful use of OCT-derived metrics.
Biological Correlations and Confounders for Quantification of Retinal Ganglion Cells by Optical Coherence Tomography Based on Studies of Outbred Mice.
基于对近交系小鼠的研究,利用光学相干断层扫描定量视网膜神经节细胞的生物学相关性和混杂因素
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作者:Hedberg-Buenz Adam, Meyer Kacie J, van der Heide Carly J, Deng Wenxiang, Lee Kyungmoo, Soukup Dana A, Kettelson Monica, Pellack Danielle, Mercer Hannah, Wang Kai, Garvin Mona K, Abramoff Michael D, Anderson Michael G
| 期刊: | Translational Vision Science & Technology | 影响因子: | 2.600 |
| 时间: | 2022 | 起止号: | 2022 Sep 1; 11(9):17 |
| doi: | 10.1167/tvst.11.9.17 | 研究方向: | 神经科学、细胞生物学 |
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