Visual Function and Inner Retinal Structure in Relation to Birth Factors in Autosomal Dominant Optic Atrophy

常染色体显性遗传性视神经萎缩患者的视觉功能和视网膜内层结构与出生因素的关系

阅读:1

Abstract

PURPOSE: The extreme variation in expressivity of autosomal dominant optic atrophy (ADOA) is unexplained. It is present from early childhood, why there is reason to search for pre- and perinatal risk factors for poor vision in ADOA. The process of ganglion cell pruning in the fetus is of interest because mitochondria are involved in apoptosis. We hypothesized that suboptimal mitochondrial function makes the developing retina and optic nerve vulnerable to fetal stress in ADOA. We have examined visual function and inner retinal layer structure in relation to birth parameters in ADOA. METHODS: The study included 142 participants with OPA1 ADOA, 62 unaffected first-degree relatives, and 90 unrelated control subjects. Outcome measures included best-corrected visual acuity, microperimetric sensitivity, nerve fiber layer (NFL) volume, and ganglion cell layer (GCL) volume. Descriptive parameters included birth weight, maternal age at birth, birth complications, and gestational age. Analysis was made using mixed modeling. RESULTS: The analysis showed a significant positive association between microperimetric sensitivity and longer gestational age in ADOA (0.5 dB/week, P = 0.017). Interaction analysis showed a significant different association between microperimetric sensitivity and gestational age between participants with ADOA and the control groups (P = 0.007) and a significant difference in association between NFL volume and birth weight (P = 0.04) and gestational age (P = 0.02) between variant types. CONCLUSIONS: The study suggests that gestational age and birth weight may affect the expressivity of ADOA. The results support that prospectively collected pre- and perinatal data should be included in future studies of the natural history of ADOA.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。