Natural History Study of Retinal Structure, Progression, and Symmetry Using Ellipzoid Zone Metrics in RPGR-Associated Retinopathy

James J L Tee, Yesa Yang, Angelos Kalitzeos, Andrew Webster, James Bainbridge, Michel Michaelides, James J L Tee, Yesa Yang, Angelos Kalitzeos, Andrew Webster, James Bainbridge, Michel Michaelides

Abstract

Purpose: This is a quantitative study of retinal structure, progression rates, and interocular symmetry in retinitis pigmentosa GTPase regulator gene (RPGR)-associated retinopathy using spectral-domain optical coherence tomography (OCT).

Design: Prospective, observational cohort study.

Methods: Thirty-eight subjects at Moorfields Eye Hospital in London were assessed with 2 spectral-domain OCT-derived ellipzoid zone (EZ) metrics with repeatability assessments. EZ width (EZW) measurements were made on transfoveal line scans. En face images of the EZ area (EZA) were generated from high-density macular volume scans and were quantified. Baseline size, progression rate, symmetry, associations with age and genotype, and baseline structure-function correlation were investigated.

Results: Baseline EZW and EZA measurements were 1963.6 μm and 3.70 mm2, respectively. The mean EZW progression rate was 233.6 μm per year, and the mean EZA rate was 0.67 mm2 per year. Relative interocular difference as an index of symmetry was 3% for both metrics, indicating good baseline symmetry in general-although significant variation existed across the cohort. Analysis of variance found a significant effect of age but not genotype on EZ dimension and progression rates. Larger EZ dimension and greater progression were seen in younger subjects. A positive correlation between EZ dimension and progression was evident. Overall exponential decline rates of 8.2% with EZW and 15.5% with EZA were obtained. Good functional correlation was found with EZW demonstrating stronger correlation; however, EZA correlation with function was also significant.

Conclusions: EZ metrics are sensitive structural biomarkers for measuring residual extent and progression in RPGR-associated retinopathy. Our elucidation of the natural history will provide clinicians and patients with more knowledge about the condition and inform the design and interpretation of interventional trials.

Copyright © 2018 The Author(s). Published by Elsevier Inc. All rights reserved.

Figures

Figure 1
Figure 1
Horizontal transfoveal spectral domain optical coherence tomography scans of both eyes of a subject with retinitis pigmentosa GTPase regulator gene–associated retinopathy. Vertical arrows mark the extent of the ellipzoid zone on the scans. The ellipzoid zone width was 7163 μm in the left eye (top) and 1534 μm in the right eye (bottom). Note that the large interocular difference found in this subject is not in keeping with the cohort.
Figure 2
Figure 2
(Top) En face images of the ellipzoid zone area generated from high-resolution macular volume scans of 2 subjects with retinitis pigmentosa GTPase regulator gene–associated retinopathy. (Bottom) Delineation and quantification of respective ellipzoid zone areas from the top images. Images on the right column were generated from a macular volume scan acquired with an average of 12 images per b-scan.
Figure 3
Figure 3
Bland-Altman plot showing interocular differences in ellipzoid zone width (EZW) at baseline. Interocular difference for each individual is plotted on the y axis against the mean EZW value of both eyes. The long horizontal dashed line refers to the mean of interocular differences; horizontal dotted lines denote 95% limits of agreement.
Figure 4
Figure 4
Linear trend lines indicating progression, plotted from observations of ellipzoid zone width (EZW). Each line represents the right eye of a subject. Data from 28 subjects who underwent ≥3 observations over an interval >1 year are shown.
Figure 5
Figure 5
(Left) Scatterplots of ellipzoid zone width (EZW) and (right) ellipzoid zone area (EZA), both plotted against subjects' age. An exponential decline is evident for both. The reader is directed to Table 5 for further information on exponential decline rates calculated with the mixed-models method.

References

    1. Sharon D., Sandberg M.A., Rabe V.W., Stillberger M., Dryja T.P., Berson E.L. RP2 and RPGR mutations and clinical correlations in patients with X-linked retinitis pigmentosa. Am J Hum Genet. 2003;73(5):1131–1146.
    1. Shu X., Black G.C., Rice J.M. RPGR mutation analysis and disease: an update. Human Mutat. 2007;28(4):322–328.
    1. Pelletier V., Jambou M., Delphin N. Comprehensive survey of mutations in RP2 and RPGR in patients affected with distinct retinal dystrophies: genotype-phenotype correlations and impact on genetic counseling. Human Mutat. 2007;28(1):81–91.
    1. Tee J.J., Smith A.J., Hardcastle A.J., Michaelides M. RPGR-associated retinopathy: clinical features, molecular genetics, animal models and therapeutic options. Br J Ophthalmol. 2016;100(8):1022–1027.
    1. Schwahn U., Lenzner S., Dong J. Positional cloning of the gene for X-linked retinitis pigmentosa 2. Nat Genet. 1998;19(4):327–332.
    1. Hardcastle A.J., Thiselton D.L., Van Maldergem L. Mutations in the RP2 gene cause disease in 10% of families with familial X-linked retinitis pigmentosa assessed in this study. Am J Hum Genet. 1999;64(4):1210–1215.
    1. Breuer D.K., Yashar B.M., Filippova E. A comprehensive mutation analysis of RP2 and RPGR in a North American cohort of families with X-linked retinitis pigmentosa. Am J Hum Genet. 2002;70(6):1545–1554.
    1. Jacobson S.G., Aleman T.S., Sumaroka A. Disease boundaries in the retina of patients with Usher syndrome caused by MYO7A gene mutations. Invest Ophthalmol Vis Sci. 2009;50(4):1886–1894.
    1. Hood D.C., Lazow M.A., Locke K.G., Greenstein V.C., Birch D.G. The transition zone between healthy and diseased retina in patients with retinitis pigmentosa. Invest Ophthalmol Vis Sci. 2011;52(1):101–108.
    1. Aizawa S., Mitamura Y., Baba T., Hagiwara A., Ogata K., Yamamoto S. Correlation between visual function and photoreceptor inner/outer segment junction in patients with retinitis pigmentosa. Eye (Lond) 2009;23(2):304–308.
    1. Fischer M.D., Fleischhauer J.C., Gillies M.C., Sutter F.K., Helbig H., Barthelmes D. A new method to monitor visual field defects caused by photoreceptor degeneration by quantitative optical coherence tomography. Invest Ophthalmol Vis Sci. 2008;49(8):3617–3621.
    1. Hood D.C., Ramachandran R., Holopigian K., Lazow M., Birch D.G., Greenstein V.C. Method for deriving visual field boundaries from OCT scans of patients with retinitis pigmentosa. Biomed Opt Express. 2011;2(5):1106–1114.
    1. Birch D.G., Locke K.G., Felius J. Rates of decline in regions of the visual field defined by frequency-domain optical coherence tomography in patients with RPGR-mediated X-linked retinitis pigmentosa. Ophthalmology. 2015;122(4):833–839.
    1. Birch D.G., Locke K.G., Wen Y., Locke K.I., Hoffman D.R., Hood D.C. Spectral-domain optical coherence tomography measures of outer segment layer progression in patients with X-linked retinitis pigmentosa. JAMA Ophthalmol. 2013;131(9):1143–1150.
    1. Ramachandran R., Zhou L., Locke K.G., Birch D.G., Hood D.C. A comparison of methods for tracking progression in X-linked retinitis pigmentosa using frequency domain OCT. Transl Vis Sci Technol. 2013;2(7):5.
    1. Cai C.X., Locke K.G., Ramachandran R., Birch D.G., Hood D.C. A comparison of progressive loss of the ellipsoid zone (EZ) band in autosomal dominant and X-linked retinitis pigmentosa. Invest Ophthalmol Vis Sci. 2014;55(11):7417–7422.
    1. Tee J.J.L., Carroll J., Webster A.R., Michaelides M. Quantitative analysis of retinal structure using spectral-domain optical coherence tomography in RPGR-associated retinopathy. Am J Ophthalmol. 2017;178:18–26.
    1. Hariri A.H., Zhang H.Y., Ho A. Quantification of ellipsoid zone changes in retinitis pigmentosa using en face spectral domain-optical coherence tomography. JAMA Ophthalmol. 2016;134(6):628–635.
    1. Fahim A.T., Bowne S.J., Sullivan L.S. Allelic heterogeneity and genetic modifier loci contribute to clinical variation in males with X-linked retinitis pigmentosa due to RPGR mutations. PloS One. 2011;6(8):e23021.
    1. Massof R.W., Dagnelie G., Benzschawel T. First order dynamics of visual field loss in retinitis pigmentosa. Clin Vision Sci. 1990;5:1–26.
    1. Sandberg M.A., Rosner B., Weigel-DiFranco C., Dryja T.P., Berson E.L. Disease course of patients with X-linked retinitis pigmentosa due to RPGR gene mutations. Invest Ophthalmol Vis Sci. 2007;48(3):1298–1304.
    1. Tee J.J.L., Kalitzeos A., Webster A.R., Peto T., Michaelides M. Quantitative analysis of hyperautofluorescent rings to characterize the natural history and progression in RPGR-associated retinopathy. Retina. 2018;38(12):2401–2414.
    1. Clarke G., Collins R.A., Leavitt B.R. A one-hit model of cell death in inherited neuronal degenerations. Nature. 2000;406(6792):195–199.
    1. Tee J.J.L., Yang Y., Kalitzeos A. Characterization of visual function, interocular variability and progression using static perimetry-derived metrics in RPGR-associated retinopathy. Invest Opthalmol Vis Sci. 2018;59(6):2422–2436.
    1. Hoffman D.R., Hughbanks-Wheaton D.K., Pearson N.S. Four-year placebo-controlled trial of docosahexaenoic acid in X-linked retinitis pigmentosa (DHAX trial): a randomized clinical trial. JAMA Ophthalmol. 2014;132(7):866–873.
    1. Sujirakul T., Lin M.K., Duong J., Wei Y., Lopez-Pintado S., Tsang S.H. Multimodal imaging of central retinal disease progression in a 2-year mean follow-up of retinitis pigmentosa. Am J Ophthalmol. 2015;160(4):786–798.
    1. Cabral T., Sengillo J.D., Duong J.K. Retrospective analysis of structural disease progression in retinitis pigmentosa utilizing multimodal imaging. Sci Rep. 2017;7(1):10347.

Source: PubMed

Подписаться