The Exponential Constriction Model of the Ellipsoid Zone in Taiwanese Individuals With RPGR-Related X-Linked Retinitis Pigmentosa

色素性视网膜炎 椭球体 指数函数 双指数函数 医学 眼科 物理 数学 天文 数学分析 视网膜
作者
Yi-Han Huang,Yu-Shu Huang,Chien‐Yu Lin,Ying-Ju Lai,Chang‐Hao Yang,Tzzy‐Chang Ho,Yi‐Ting Hsieh,Po‐Ting Yeh,Tso‐Ting Lai,Chao‐Wen Lin,Chung‐May Yang,Pei-Lung Chen,Ta‐Ching Chen
出处
期刊:Investigative Ophthalmology & Visual Science [Cadmus Press]
卷期号:66 (4): 59-59
标识
DOI:10.1167/iovs.66.4.59
摘要

This study documents the natural disease progression and genotype-phenotype correlation in RPGR-related retinitis pigmentosa (RP) in the Taiwanese population. A retrospective analysis was conducted on individuals with molecularly confirmed RPGR-related disease-causing variant(s). Demographics, best-corrected visual acuity (BCVA), spherical equivalent (SE), fundus autofluorescence, and optical coherence tomography were assessed. Fifty-two individuals from 31 families were diagnosed with RPGR-related disease-causing variant(s). Mean follow-up time was 4.2 years. Among 21 genetic variants, 67% involved the open reading frame 15 region (ORF15) variant, and 33% were Exon 1-14 variants. Male patients (69%) had a mean BCVA of 0.9 logMAR and SE of -3.8 D in the right eye and -3.0 D in the left eye, with high myopia in 19% to 20%. BCVA progression was 0.031 logMAR/year in the ORF15 group (P < 0.001) and 0.011 logMAR/year (P = 0.457) in the Exon 1-14 group. An exponential decay model revealed rapid ellipsoid zone (EZ) constriction during childhood in the ORF15 group. Female patients/carriers (31%) had a mean BCVA of 0.3 logMAR and SE of -4.3D, with high myopia of 31% in the right eye and 46% in the left eye. Among symptomatic females, 73% exhibited clinically significant disease. The most common mutation was the c.2592dup variant (15%). This first longitudinal analysis of RPGR-related RP in Taiwan presents a predictive model of EZ constriction. Findings suggest earlier onset in Exon 1-14 variants and a tendency for faster progression in the ORF15 group, informing insights for genetic therapy development and disease management.

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