Early inner plexiform layer thinning and retinal nerve fiber layer thickening in excitotoxic retinal injury using deep learning-assisted optical coherence tomography.
Early inner plexiform layer thinning and retinal nerve fiber layer thickening in excitotoxic retinal injury using deep learning-assisted optical coherence tomography.
复制标题
DOI：
10.1186/s40478-024-01732-z
复制
发表时间：
2024-02-01
影响因子：
7.1
通讯作者：
中科院分区：
文献类型：
--
作者：
谷氨酸摄取障碍引起的兴奋性毒性是阿尔茨海默病、多发性硬化症和帕金森病等神经退行性疾病的重要机制。在眼内，兴奋性毒性被认为在青光眼、糖尿病视网膜病变、视网膜缺血和视神经损伤的视网膜神经节细胞死亡中起关键作用，但兴奋性毒性损伤如何影响不同的视网膜层尚不清楚。在这里，我们研究了n -甲基- d -天冬氨酸（NMDA）在大鼠模型中诱导的兴奋性毒性视网膜损伤的纵向效应，使用深度学习辅助视网膜层厚度估计。在9只成年Long Evans大鼠单侧玻璃体内注射NMDA前后，用光谱域光学相干断层扫描（OCT）获得4周的双眼视网膜体积图像。使用基于深度学习的算法从OCT数据中自动分割出10个视网膜层。采用各时间点（注射NMDA前、注射后3、7、28天）视网膜层特异性厚度变化评估视网膜变性。在视网膜内部，我们的OCT结果显示，在注射NMDA后3天，视网膜内丛状层首先发生变薄，在损伤后7天，内核层发生变薄。相比之下，NMDA注射后3天视网膜神经纤维层表现出最初的增厚，随后在损伤后4周恢复正常并变薄。我们的结果证明了nmda诱导的神经毒性在视网膜不同层的病理级联。早期的内丛状层变薄表明早期的树突萎缩，而视网膜神经纤维层增厚在随后的正常化和变薄表明在轴突丧失和细胞死亡之前的早期炎症。这些发现提示丛状内层是兴奋性毒性视网膜变性的早期成像生物标志物，而在解释传统OCT测量中结合视网膜神经纤维层、神经节细胞层和丛状内层厚度的神经节细胞复合体时，需要谨慎。深度学习辅助视网膜层分割和纵向OCT监测有助于评估兴奋性毒性视网膜层损伤的不同阶段。
Excitotoxicity from the impairment of glutamate uptake constitutes an important mechanism in neurodegenerative diseases such as Alzheimer’s, multiple sclerosis, and Parkinson's disease. Within the eye, excitotoxicity is thought to play a critical role in retinal ganglion cell death in glaucoma, diabetic retinopathy, retinal ischemia, and optic nerve injury, yet how excitotoxic injury impacts different retinal layers is not well understood. Here, we investigated the longitudinal effects of N-methyl-D-aspartate (NMDA)-induced excitotoxic retinal injury in a rat model using deep learning-assisted retinal layer thickness estimation. Before and after unilateral intravitreal NMDA injection in nine adult Long Evans rats, spectral-domain optical coherence tomography (OCT) was used to acquire volumetric retinal images in both eyes over 4 weeks. Ten retinal layers were automatically segmented from the OCT data using our deep learning-based algorithm. Retinal degeneration was evaluated using layer-specific retinal thickness changes at each time point (before, and at 3, 7, and 28 days after NMDA injection). Within the inner retina, our OCT results showed that retinal thinning occurred first in the inner plexiform layer at 3 days after NMDA injection, followed by the inner nuclear layer at 7 days post-injury. In contrast, the retinal nerve fiber layer exhibited an initial thickening 3 days after NMDA injection, followed by normalization and thinning up to 4 weeks post-injury. Our results demonstrated the pathological cascades of NMDA-induced neurotoxicity across different layers of the retina. The early inner plexiform layer thinning suggests early dendritic shrinkage, whereas the initial retinal nerve fiber layer thickening before subsequent normalization and thinning indicates early inflammation before axonal loss and cell death. These findings implicate the inner plexiform layer as an early imaging biomarker of excitotoxic retinal degeneration, whereas caution is warranted when interpreting the ganglion cell complex combining retinal nerve fiber layer, ganglion cell layer, and inner plexiform layer thicknesses in conventional OCT measures. Deep learning-assisted retinal layer segmentation and longitudinal OCT monitoring can help evaluate the different phases of retinal layer damage upon excitotoxicity.
登录
查看更多内容
影响因子：
4.4
作者：
Henderson DCM;Vianna JR;Gobran J;Di Pierdomenico J;Hooper ML;Farrell SRM;Chauhan BC
通讯作者：
Chauhan BC
影响因子：
4.4
作者：
Gabriele, Michelle L.;Ishikawa, Hiroshi;Wollstein, Gadi
通讯作者：
Wollstein, Gadi
影响因子：
3.2
作者：
Boccuni, Isabella;Fairless, Richard
通讯作者：
Fairless, Richard
影响因子：
3.4
作者：
Heisler, Morgan;Bhalla, Mahadev;Sarunic, Marinko, V
通讯作者：
Sarunic, Marinko, V
影响因子：
7.7
作者：
Chen, Shuo;Ma, Da;Beg, Mirza Faisal
通讯作者：
Beg, Mirza Faisal