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European Journal of Human Genetics logoLink to European Journal of Human Genetics
. 2013 Feb 27;21(11):1240–1248. doi: 10.1038/ejhg.2013.21

Cellular imaging demonstrates genetic mosaicism in heterozygous carriers of an X-linked ciliopathy gene

Sung Pyo Park 1,2, In Hwan Hong 2, Stephen H Tsang 1,3,*, Stanley Chang 1
PMCID: PMC3798832  PMID: 23443027

Abstract

X-linked retinitis pigmentosa (XLRP) is the least common genetic type of retinitis pigmentosa; however, it has extremely devastating consequences to patients' activities of daily living. RPGR and RP2 genes expressed in the photoreceptor sensory cilia are predominantly implicated in XLRP; however, the interpretation of genetic mutations and their correlation with clinical phenotypes remain unknown, and the role of these genes in photoreceptor cilia function is not completely elucidated. Therefore, we evaluated structural characteristics in five female obligate carriers of XLRP by using state-of-the-art non-invasive imaging methods, including adaptive optics (AO) scanning laser ophthalmoscopy (SLO). In all five carriers examined, qualitative and quantitative analyses by AO SLO imaging revealed a mosaic pattern of cone disruption, even in the absence of visual symptoms, normal visual acuity and normal macular thickness, on optical coherence tomography and mildly subnormal full-field cone electroretinographic findings. As the technique is sensitive to the level of a single cone, the ability to visualize the cone cells in vivo should be especially useful in other retinal diseases. In addition, further investigation of XLRP carriers may yield insight into how cone structures change over time and ultimately enable understanding of the role of RPGR and RP2 in cone cell survival.

Keywords: X-linked retinitis pigmentosa carrier, photoreceptor layer, adaptive optics scanning laser ophthalmoscopy

Introduction

Identification of X-linked retinitis pigmentosa (XLRP) carriers is challenging and has serious implications for genetic counseling. Female XLRP carriers usually have normal, or close to normal, visual acuity, but often show some degree of fundus changes, including sectorial or peripheral pigmentary deposits and a tapetal-like reflex (TLR),1 as well as abnormal fundus. Many previous studies have detailed the prevalence of abnormal fundus photography,1, 2 vitreous fluorophotometry,3 infrared (IR) reflectance images,1, 2 electroretinographic (ERG),4, 5 psychophysical6 and flicker-fusion7 findings in such carriers. More recently, several studies have investigated XLRP carriers with advanced devices, including FAF,8 multifocal ERG9 and OCT10, 11 to reveal clinical phenotypes of XLRP. Most XLRP carriers can be identified on the basis of fundus findings and ERG changes; however, 10–30% of carriers show no abnormal ERG or fundus finding.1, 4, 5, 9

Although XLRP is the least common genetic type of RP, accounting for 6–17% of familial retinitis pigmentosa cases, it is extremely devastating.1, 12, 13 In the first or second decade of life, affected individuals experience a decrease in peripheral and night vision, and the disease often leads to partial or complete blindness in the fourth or fifth decade of life.14 In contrast to the severe retinal degeneration in affected men, female carriers of this genetic subtype show greater phenotypic variability, probably due to non-random or skewed inactivation of one X chromosome.15 Therefore, previous studies with novel and advanced equipment have been performed in female carriers of XLRP to offer insight into pathogenic mechanisms involved in this tragic affliction.

Previous genetic studies revealed two major genes have been identified – RPGR and RP2.16, 17 However, the interpretation of genetic mutations and their correlation with the clinical phenotypes remains unknown, and the role of these genes in the photoreceptor cilia is not yet completely elucidated.18 A major reason for this is that it has not been possible to study individual photoreceptors affected by XLRP in living patients because irregularities of the human eye's optics limit the resolution of retinal images produced by all methods commonly used in clinical practice.19 Adaptive optics (AO) can compensate for these aberrations in living eyes by using a wavefront sensor to measure aberrations of the eye and a deformable mirror or a spatial light modulator to compensate for these aberrations.20, 21 After the aberrations are corrected, lateral resolutions of the order of 2 μm can be achieved, thereby allowing visualization of single-cone photoreceptors with the AO technology.22, 23 The integration of AO with scanning laser ophthalmoscopy (SLO), that is, AO-SLO, provides images of the retina with a high resolution and contrast.21, 24

Recent studies with AO-SLO have revealed that this technique provides a unique opportunity to analyze the effects of genetic mutations on photoreceptors.19, 20, 21, 22, 23, 24, 25 To better understand the pathogenesis of XLRP, high-resolution images of the photoreceptor layer and AO-image-derived measures of photoreceptor integrity are essential. This study was designed to evaluate the structural characteristics in five female obligate carriers of XLRP by using various retinal imaging methods, including a compact AO-SLO that uses a dual liquid-crystal phase modulator introduced by Hirose et al.26 This non-invasive approach makes it possible to investigate the structural abnormalities in individual photoreceptor cells in obligate XLRP carriers.

Materials and methods

A total of 5 patients and 18 controls having similar age and refractory error with patients were investigated; all subjects were informed about the aims of the examination before they volunteered to participate. XLRP was diagnosed by pedigree analysis, which showed an absence of male-to-male transmission, and an evaluation of affected men and clinical features of female family members. The study was approved by the Columbia University institutional review board (AAAII480 and AAAB6560). All individuals gave informed consent according to the tenets of the Declaration of Helsinki before participation in any of our studies.

A complete medical history was obtained from all patients and controls, including information about all known family members. All participants underwent a complete ophthalmic examination that included measurement of best-corrected visual acuity (BCVA), intraocular pressure, subjective refraction, indirect ophthalmoscopy, slit-lamp examination with a contact lens, color fundus photography, IR fundus imaging and fundus autofluorescence (FAF) imaging. En face IR and FAF images were obtained with the Spectralis HRA+OCT (Heidelberg Engineering, Heidelberg, Germany) together with high-resolution spectral domain (SD)-OCT images.

Pupils were dilated with topical 1% tropicamide before full-field ERG, which was recorded from both eyes with silver-impregnated fiber electrodes (DTL; Diagnosys LLC, Littleton, MA, USA) according to the International Society for Clinical Electrophysiology of Vision (ISCEV) standards for both scotopic and photopic states.27

The patients who consented to give blood samples were genetically screened. Total genomic DNA was extracted from peripheral leukocytes with the QIAamp DNA Mini Kit (Qiagen, Valencia, CA, USA). The extracted genomic DNA was amplified by polymerase chain reaction (PCR) with previously delineated primer sequences at annealing temperatures.28 The PCR products were purified (QIAquick PCR Purification Kit; Qiagen) and sequenced.

All carriers and 18 age-matched participants with healthy eyes underwent AO-SLO. As has been previously described by Hirose et al,26 components of the AO-SLO system include the AO system, light sources for imaging and measuring aberrations, an optical system, a scanner, and the data acquisition and image composition systems. Two light sources were used for this equipment. One was a superluminescent diode (S840-B-I-20; Superlum, Carrigtwohill, Ireland) with a wavelength of 840±25 nm for imaging. The other (a beacon light) was a superluminescent diode (QSDM-760-2; QPhotonics, Ann Arbor, MI, USA) with a wavelength of 760±5 nm for measuring aberrations. By calculating the incident power of light sources according to the American National Standards Institute safe light exposure levels, the power of the imaging light was set at 450 μW and that of the beacon light, at 40 μW.

The AO subsystem contains a dual liquid crystal on the silicon spatial light modulators (LCOS-SLMs; X10468-02; Hamamatsu Photonics, Hamamatsu City, Japan) with an active area of 16 × 12 mm and 792 × 600 pixels and a maximum stroke of 1 λ (840 nm). A customized software controls the dual liquid crystal spatial light modulator and the wavefront sensor to compensate for higher-order aberrations.

The polarized components of the imaging light to the wavefront aberrations, caused by optical irregularities in the eye, were modulated by two LCOS-SLMs. The beacon light and a Hartmann–Shack wavefront sensor (HASO 32-eye; Imagine Eyes, Orsay, France) was used to measure these aberrations. Horizontal raster scans were created by an 8-kHz resonant scanner (CRS 8 kHz; GSI Group, Bedford, MA, USA) and a galvanometric beam scanner (VM500+ GSI Group) was used to scan the imaging beam in the horizontal direction. When the imaging light was scanned, the data acquisition system of the reflected light system was initialized. An avalanche photodiode detected the light reflected from the retina and the light converted to an electrical signal. The electrical signal was then amplified 10-fold by a commercial amplifier (SR560; Stanford Research Systems, Sunnyvale, CA, USA). Simultaneously, the signal from the amplifier was digitized by an Analog/Digital (AD) converter board. A personal computer recorded the digitized data to its hard disk over a period of approximately 2 s. The final SLO image size was 400 × 400 pixels (32 frames/s).

The eye with better visual acuity or more stable fixation was chosen for imaging studies. We obtained the images at multiple locations within 1.5 mm of the center of fovea and created a montage of AO-SLO images by selecting the area of interest and generating each desired image. Each montage of the area of interest was verified by comparing the AO-SLO image with wide-field images and examining its correspondence. The cone density was measured in areas that were 0.5, 1.0 and 1.5 mm from the center of the fovea in each of the four directions (superior, inferior, nasal and temporal). We selected these distances because the our AO system cannot clearly show individual cones at the center of the fovea; this limitation has also been reported with other similar systems.20, 21, 22, 23, 24, 26, 29, 30 Cone cells at foveal eccentricities of >0.15 mm can be resolved.

To measure cone density, the number of cones was counted in the area of AO-SLO images. The cone cells appeared as bright spots that were 2–5 μm in diameter, and the examiners manually selected areas (50 × 50 pixels), while excluding the areas where in retinal vessels or artifacts obscured the underlying cone mosaic. That is, none was obscured by blood vessels and artifact. We manually counted the number of cones within that area by placing the computer cursor on the image and clicking on it, to ensure that no cone was counted twice and that none was excluded within a selected area in the registered images. And after that, we used the photoreceptor analysis software (developed by Canon, Inc., Tokyo, Japan) for automated cone selection and measurement of the cone density within the selected area in the registered images. The selected area was same as manual method in which cone cells were not obscured by blood vessels and artifact. Cone density, the number of cones divided by the area of retina sampled, was estimated automatically by that software. As a result, we acquired two kinds of parameters for the number of cones: cone count by manual estimation and cone density by automated estimation.

Results

The groups of patients (n=5) and normal volunteers (n=18) who participated in this study were all females and had BCVA of 20/20 or better in at least one eye. The mean age of the carriers was 39.8±8.4 and control was 44.8±9.88. As the packing density of cones does change as a function of age and refractory error,29, 30 subject 4 was separated from the other carriers to compare with controls whose age range from 50 to 58 and refractory error range from −7.0D to −8.5D. Table 1 summarized carrier's profiles and the details of their examined eyes including vision and there was no underlying disease except carrier of XLRP in our patients.

Table 1. Patient and ocular characteristics.

  Subject 1 Subject 2 Subject 3 Subject 4 Subject 5
Sex Female Female Female Female Female
Age (years) 34 39 33 54 29
Ethnicity Caucasian Asian Caucasian Caucasian Caucasian
Imaged eye OS OD OS OD OS
BCVA 20/20 20/20 20/20 20/20 20/20
Subjective refraction Sph: −4.5 Sph:−1.0 Sph: −1.25 Sph: −7.75 Sph: −0.25
  Cyl: −3.75 Cyl: −0.25 Cyl: −0.25 Cyl: −1.0 Cyl: −1.75
Axial length (mm) 25.89 25.75 22.52 24.82 24.22
ACD depth (mm) 3.55 3.5 2.88 3.68 3.43

Abbreviations: ACD, anterior chamber depth; BCVA, best-corrected visual acuity.

All of patients were screened for mutations in the RP2 and RPGR genes, and all of the exons were sequenced after the genomic DNA was amplified. The results are indicated in Table 2. Although four of our patients confirmed having mutations in RPGR gene, we did not get a genetic result from one further patient. However, subject 3 had one son with advanced RP, two normal daughters, two normal sons and a normal husband. Subject 3's two brothers had advanced RP but there was no clinical evidence of RP in her parents. None of her sisters or their children had RP. Subjects 1 and 5 were sisters from the same parents.

Table 2. Genetic results of patients.

  Subject 1 Subject 2 Subject 3 Subject 4 Subject 5
Gene RPGR RPGR Pending RPGR RPGR
Exon ORF 15 ORF 2   ORF 11 ORF 15
Condon change Glu938X Gly68Arg   Gly436Asp Glu938X
Nucleotide change 2812 G>T 202 G>A   1307 G>A 2812 G>T

On slit lamp examination, the cornea and anterior chamber were clear and no patients showed lens opacity or inflammation. Of our five carriers, a TLR was seen in all patients. The reflex was associated with fundus changes seen in high myopia such as prominence of the choroidal vascular pattern (Figure 1a). Within the area of the TLR, FAF image showed speckled regions of enhanced AF (Figure 1b) and IR image displayed an enhanced reflectivity (Figure 1c). None of the patients had peripheral pigment atrophy or bone spicule-like pigmentary clumping. Full-field ERG response from eyes tested on the AO-SLO is summarized in Table 3. For 30 Hz flicker stimulus ERG, three of five carriers (subjects 2, 3 and 4) showed mild reduction in b-wave amplitude and two carriers (subjects 1 and 4) found having an implicit time delay. For single-cone response, only one carrier (subject 5) showed slightly reduced b-wave amplitude and also only one carrier (subject 3) mild reduction in b-wave amplitude for rod-specific ERG. For maximal dark-adapted rod-cone response, only one carrier (subject 2) showed a mildly prolonged implicit time, whereas none of the carriers showed an abnormal finding in b-wave amplitude. Using SD-OCT, all carriers were revealed that had normal macular structure, with an intact inner segment (IS)/outer segment (OS) junction and grossly normal appearing outer nuclear layer plus outer plexiform layer (ONL+) thickness within the posterior pole (Figure 2).

Figure 1.

Figure 1

Retinal images of the left eyes of XLRP carrier. (a) Fundus photograph of subject 2 shows fundus TLR within the posterior pole with tigroid changes. (b) Hyperautofluorescences are detected within the area of the TLR. (c) IR image showing an enhanced reflectivity that correlated with the fundus TLR. AF, autofluorescence.

Table 3. The result of XLRP carriers for the standard full-field electroretinogram.

Carrier Cone response(amplitude) Cone response(implicit time) Rod response (amplitude) Rod response (implicit time) Maximum response (amplitude) Maximum response (implicit time) 30 Hz flicker (amplitude) 30 Hs flicker (implicit time)
Subject 1 90.1 23.2 133.4 89.2 194.2 46.5 77.35 27.4a
Subject 2 84.73 25.3 144.6 95.1 190.2 50.6a 62.3b 26
Subject 3 85.4 28.4 103b 91.6 208.1 47.3 65.8b 26.1
Subject 4 82.62 29.2 184.3 76.2 277.8 46 63.33b 28a
Subject 5 81.2b 29 125.2 77.6 265.4 48.2 76.23 24.2
Normalc 128.7±46.9 27.75±1.73 241.1±116.6 89.67±16.5 333.2±201.1 41.7±8.7 108±32.66 24.33±1.97

The full-field electroretinogram (b-wave) results were reported in eyes tested on the adaptive optics scanning laser ophthalmoscopy.

a

Implicit time delayed than 1 SD from average implicit time of normal.

b

Amplitude <1 SD from average amplitude of normal.

c

Normal range for full-field electroretinogram system.

Figure 2.

Figure 2

High-resolution SD-OCT scans through the fovea of the five XLRP carriers. SD-OCT images of (a) subject 1, (b) subject 2, (c) subject 3, (d) subject 4 and (e) subject 5. All carriers with TLR have normal retinal microstructure and thickness on SD-OCT images. These SD-OCT images also showed an intact inner ellipsoid band, indicating the presence of photoreceptor IS/OS junctions. Photoreceptor OSs, RPE and Bruch's membrane were also intact in all carriers. The position of the SD-OCT line scan is indicated by the white or black dashed lines in AF or IR images. AF, autofluorescence; RPE, retinal pigment epithelium; SD-OCT, spectral domain optical coherence tomography.

Regarding AO-SLO examination, the cone photoreceptors of normal subjects showed the appearance of slightly oval-shaped bright dots with a compact arrangement (Figures 3e and f, Figures 4e–h). Manual (cone count) and automatic (cone density) estimation of number of normal cone cells decreased with increasing eccentricity from the center of fovea (Tables 4 and 5). High-resolution macular cone images of all five carriers using AO-SLO were highly variable, both in image quality and in the appearance of mosaic itself. Compared with normal eyes, some images of each patient showed normal appearance of cone cell with a compact arrangement (Figure 3d). However, cone cells of several areas showed irregular pattern of cone cells and were of variable asymmetrical sizes and shapes. There were some dark areas where the cone cells were damaged or lost (Figures 3f and 4a–d), conducing less compact distribution of cone cells than controls. These patterns were not observed in unaffected retina (Figures 4e–h) in same eccentricity and differentiated with dark areas of artifact and blood vessel. When we manually counted the number of cone cells in these images, cone count was reduced, compared with unaffected controls.

Figure 3.

Figure 3

Retinal images of the left eye of subject 1. (a) Fundus photograph shows fundus TLR within the posterior pole, which is more prominent temporal to the macula, and myopic changes with prominence of the choroidal vascular pattern. (b) No abnormal AF is detected on FAF imaging. (c) A montage of AO-SLO images from subject 1 matched with the IR images. (d) A magnified AO-SLO image of the area (nasal 0.5 mm) indicated by the white box in the image of c, showing a relatively regular cone cell appearance. Some morphologically large and/or dysmorphic cone cells are indicated by arrowheads, but it is not that much compared with another area (inferior 0.5 mm) in the same patient. The number of cone cells within the area indicated by the white box was estimated to be 58. (e) A magnified AO-SLO image from an unaffected control at the same location. (f) A magnified AO-SLO image of the area (inferior 0.5 mm) indicated by the white box in the image of c, shows less compact distributions than those with normal controls. Some cone cells show irregular appearance and are of variable asymmetrical sizes and shapes, which are indicated by arrowheads and the cone count is 45 in the white box area. (g) A magnified AO-SLO image from an unaffected control at the same location.

Figure 4.

Figure 4

AO-SLO images of carriers of XLRP and controls. Manual counting of the number of cone cells was performed within the area indicated by white box. Some morphologically large and/or abnormal cone cells are indicated by arrowheads. (a) AO-SLO image of subject 2 (temporal 0.5 mm). (b) AO-SLO image of subject 3 (temporal 1.0 mm). (c) AO-SLO image of subject 5 (inferior 0.5 mm). (d) AO-SLO image of subject 4 (inferior 0.5 mm). Presented images of all carriers have several small patch lesions where cones are lost or decreased and residual cone cells appear to be asymmetrical sizes and be of variable shapes. (e, f, g, h) AO-SLO images from an unaffected control at the same location and magnification used for XLRP carriers. The images show normal cone mosaic patterns and no abnormal patch lesions.

Table 4. Cone count of the patients with X-linked retinitis pigmentosa carrier.

Carrier Superior 0.5 mm Superior 1.0 mm Superior 1.5 mm Inferior 0.5 mm Inferior 1.0 mm Inferior 1.5 mm Temporal 0.5 mm Temporal 1.0 mm Temporal 1.5 mm Nasal 0.5 mm Nasal 1.0 mm Nasal 1.5 mm
Subject 1 51a 37 30 49a 30a 30 45a 33a 29 64 42 47
Subject 2 32a 30a 32 41a 35a 32 42a 32a 29 41a 38a 38
Subject 3 54a 39 32 48a 32a 38 55a 35a 35 51a 40 37
Subject 5 48a 44 45 48a 42 42 45a 40a 29 57 43 42
P-valueb 0.002 0.635 0.839 0.002 0.024 0.733 0.002 0.002 0.024 0.014 0.024 0.635
Subject 4 57 49 45 53a 44 33 54 53 44 62 38 41
P-valuec 0.643 0.429 0.286 0.041 1 0.857 0.286 0.143 0.286 1 0.643 0.429
Average 48.4±9.8 39.8±7.2 36.8±7.5 47.8±4.3 36.6±6.1 35±4.9 48.2±5.9 38.6±8.6 33.2±6.6 55±9.3 40.2±2.3 41±3.9
Normalb 67.5±5.5 39.9±3.9 33.2±3.3 63.7±5.8 43.4±3.3 33.9±3.9 68.5±10.7 47.1±5,45 40.8±11.3 69.2±11.2 47.6±7.9 39.8±8.2
Normalc 52.3±8 33.5±3.4 33.2±3.6 54.5±1.1 38.8±3.9 33.9±6. 54.7±9.1 41.5±7.2 34.5±5.7 53.7±3.5 39.2±4.9 33.7±1.3
a

Cone count <1 SD from average cone count of age-matched control.

b

Statistical analysis with age-matched 12 normal controls (mean age: 38±5.92, refractory error: −2.35±1.69, Mann–Whitney U-test).

c

Statistical analysis with age-matched six normal controls (mean age: 55±3.71, refractory error: −7.68±0.6, Mann–Whitney U-test).

Table 5. Cone density of the patients with X-linked retinitis pigmentosa carrier.

Carrier Superior 0.5 mm Superior 1.0 mm Superior 1.5 mm Inferior 0.5 mm Inferior 1.0 mm Inferior 1.5 mm Temporal 0.5 mm Temporal 1.0 mm Temporal 1.5 mm Nasal 0.5 mm Nasal 1.0 mm Nasal 1.5 mm
Subject 1 19 874a 15 789 12 053 19 963a 15 321 13 247 20 987a 16 340 12 001 22 354a 14 222 14 096
Subject 2 17 898a 12 435a 12 445 15 230a 10 059a 12 678 16 438a 10 402a 10 221a 13 482a 13 324a 13 350
Subject 3 20 342a 17 541 12 564 18 575a 11 889a 14 587 20 726a 14 620a 11 789 18 814a 14 234 14 252
Subject 5 18 536a 14 778a 13 789 17 458a 15 555 12 789 19 536a 15 214a 11 554 19 789a 14 214 13 148
Pvalueb 0.002 0.188 0.733 0.002 0.054 0.076 0.002 0.008 0.014 0.002 0.014 0.106
Subject 4 23 896 17 896 14 645 19 103a 16 032 15 551 19 330a 18 452 14 653 22 247 16 987 14 442
P-valuec 0.571 0.286 0.857 0.571 0.857 0.286 0.571 0.571 0.571 0.571 0.286 0.571
Average 20 109.2±2335.3 15 687.8±2220.9 13 099.2±1081 18 065.8±1826.6 13 771.2±2646.6 13 770.4±1251.8 19 403.4±1807.9 15 005.6±2959.9 12 043.6±1615.3 19 337.2±3616.9 14 596.2±1392.1 13 857.6±573.4
Normalb 30 279.9±2376.9 16 527.3±925.6 13 339.4±1673.9 30 312.5±4384.3 16 686.6±1444.7 14 006.8±1390.1 29 280.3±3353.4 17 569.5±1326.5 14 142.4±3064.9 30 416.6±4310.9 17 054.4±3054.2 12 580.9±1027.6
Normalc 25 169.37±2512.3 16 321±1415.7 14 987±1662.3 23 124.7±1678.4 16 122.3±1573.6 16 213.4±2664.1 22 178.9±812.4 17 335.8±2773.5 15 562.5±1884.7 23 737.3±1516.2 14 563±526.3 14 989±781.4
a

Cone density <1 SD from average cone count of age-matched control.

b

Statistical analysis with 12 normal controls (mean age: 38±5.92, refractory error: −2.35±1.69, Mann–Whitney U-test).

c

Statistical analysis with six normal controls (mean age: 55±3.71, refractory error: −7.68±0.6, Mann–Whitney U-test).

To demonstrate the patter of cone cell distributions in our patients, the number of cone cells was calculated manually in each retinal image and is summarized in Table 4. Comparison of the cone count between the four XLRP carriers (subjects 1, 2, 3 and 5) and healthy eyes (age from 30 to 48, refractory error from −0.25D to −4.75D, n=12) showed significant decreases at a distance of 0.5 mm from the center of the fovea in all directions and 1.0 mm from the fovea in three directions (inferior, temporal and nasal). There was no significant difference between normal controls and four carriers at a distance of 1.5 mm from the fovea in all directions except temporal 1.5 mm to the fovea. In comparison between subject 4 and controls (age from 50 to 58, refractory error from −7.0D to −8.5D, n=6), none of statistical difference was present in all eccentricities. However, when comparing cone count in all of the each area with average value of controls, inferior 0.5 mm to the foveal center in subject 4 showed lower cone count than 1 SD from average of age-matched controls. In addition to quantitative differences, qualitative abnormalities with irregular cone cells were observed in AOSLO image (Figures 4a–d).

A result of cone density for all carriers examined is shown in Table 5. The number of cone cells was counted using photoreceptor analysis software that automatically counted the cones within the selected area in the registered images. Compared with the normal eyes, ranging from 30 to 48 (n=12), there were significant decreases at a distance of 0.5 mm in all directions and 1.0 mm in 2 directions (nasal and temporal) from the fovea. As same as cone count, there was no significant difference between normal controls and four carriers at a distance of 1.5 mm from the fovea in all directions except temporal 1.5 mm to the fovea. In comparison between subject 4 and controls (n=6), there was no significant difference in all eccentricities. Different from the result of manual estimation, nasal 0.5 mm to the fovea in subject 1, temporal 1.5 mm to the fovea in subject 2 and superior 1 mm to the fovea and nasal 0.5 mm to the fovea in subject 5 showed lower cone density than 1 SD from the average value of the normal. Entirely, 29 areas showed cone counts or densities <1 standard from the controls in either manual or autonomic method and 24 areas (82.8%) were overlapped.

Discussion

XLRP carriers have a broad spectrum of fundus changes, ranging from normal fundus to extensive retinal degeneration; they commonly show a TLR or peripheral pigmentary disturbance.31 A previous study revealed that presence of TLR is independent of mutation,8 but it fades with age and tends to be most apparent in younger women aged below 40 years.1, 31 Enhanced reflectivity or AF was found within the area of TLR and OCT showed normal retinal microstructure and thickness, but an increased reflectivity was observed from the RPE-photoreceptor layer complex.1, 8, 10 Peripheral pigmentary retinal degeneration was not observed in any of our carriers, but myopic fundus changes such as prominence of the choroidal vascular pattern was present in three carriers.

The pathogenic mechanisms of XLRP remain uncertain because only a few histological studies on young XLRP donors have been previously conducted. In 1985, autopsy eyes were first examined from a 79-year-old female carrier who had no visual symptoms and had normal visual acuity.32 In this study of young individuals, the rods and cones in the posterior pole were within the normal limit, and scattered circular or oval patches of photoreceptor cell degeneration were observed in a midperipheral annulus. However, a recent study of an XLRP carrier with an RPGR mutation showed patches with abnormal or no photoreceptors and diminished numbers of cone cells in parafoveal and perifoveal regions, although she had a normal visual acuity.33 Another histological study of a carrier who had a normal fundus showed similar results with loss of some photoreceptor cell nuclei observed in the carrier but not in controls.34

AO-SLO provides a means of performing an ‘optical biopsy' and to study live patients at the cellular level. Our novel findings with AO-SLO were more comparable to the results from histological analyses of two recent histological studies than those of an earlier one.32, 33, 34 Despite normal visual acuity and mildly subnormal ERG findings, every carrier had several subnormal areas, where distribution of cones were less compact, and abnormal cone cells, which appeared to form mosaic patterns from their size and shape. What is intriguing is the fact that there were no specific SD-OCT findings on all carriers, highlighting that it may not be possible to directly deduce the degree of cone cell structure from SD-OCT imaging alone.

In both manual and automatic cone counting, statistical analysis between four carriers of a similar age and controls revealed that the number of cone cells was significantly decreased at a distance of 0.5 mm but not 1.5 mm from the fovea. Measurements 1.0 mm inferior to the fovea only indicated significant differences between controls and carriers by using the manual method, but not by the automated method. When we compared the average number of cone cells counted using either method, 29 areas showed cone counts or densities <1 SD from the controls and, among these areas, 16 areas were 0.5 mm from the fovea regardless of direction. Qualitatively, the areas with subnormal cone counts or densities appeared to have more dark areas where cone cells were not existed or severe cone cell irregularities than those with normal cone counts or densities and the agreement between the two different methods was up to 82.8%. These results indirectly indicate that automatic measurement of cone density is as useful as manual method for cone cell calculating. However, we could not clearly confirm these observations because of the variability in the quality of images and small sample size. Therefore, further evaluation including reproducibility of automated method must be needed.

Even we only obtained 12 areas of AO-SLO images in individual patient, both subnormal and normal areas were found to spontaneously exist in the same patient with dysmorphic cone cells, which also distributed irregularly within the whole areas. These results can be supported by random X-inactivation hypothesis suggested by Lyon.35 In early embryonic development, one X-chromosome in each cell of a woman becomes inactive. This inactivation occurs in a random manner and is independent in each cell. Uneven lyonization has been known as a possible cause for a discordant phenotypical expression of X-linked diseases.36 This hypothesis implies that the affected cone cell has a skewed inactivation predominantly of the wild-type X-chromosome, whereas the unaffected cone cell either has a random X-inactivation or a predominant inactivation of the X-chromosome carrying the mutant gene.

The RPGR gene, which account for about 70% of all XLRP cases, is located in chromosomal region Xp21.1, spans 172 kb and was initially reported to contain 19 exons.18 In retina, the gene product is located in the connecting cilium of rods and cones, involved in cellular trafficking and has a role in transGolgi transport.8 Compromised intracellular transport of major components of the phototransduction cascade including rhodopsin results from loss of RPGR function, thus impairing proper formation of OSs and leading to subsequent loss of photoreceptors by apoptosis. Mutations can be found in the first 14 exons in 20–30% of all XLRP patients and in a further 50–80% of patients in the ORF15 exon, thus ORF15 is known as a mutational hotspot.18 Despite a broad overlap in phenotype between RP patients with RPGR mutations, previous study showed that patients with mutation in exons 1–14 had a smaller visual filed area, lower ERG amplitude and lost ERG amplitude 50% greater than those with ORF15 mutations.37, 38 In contrast to these studies, subject 4 with ORF11 mutation had milder AO-SLO features, in terms of both quantity and quality, along with better ERG amplitude than subjects 1 and 5 who had ORF15 mutations, even subject 4 was older and high myopia. Although this result showed that the AO-SLO finding well matched with ERG, proving sensitivity of AO-SLO.

Some limitations of this study should be noted. RP is a disease predominantly involving the rod photoreceptor system.1, 12, 13, 14 However, the current AO-SLO system used in our study could not assess the rod photoreceptor system qualitatively or quantitatively. Another limitation is that RP starts in the mid-periphery and advances toward the macula and fovea,1, 12, 13, 14 but we were unable to obtain images of the peripheral retina and fovea using the current AO-SLO system. Although random X-inactivation hypothesis can explain a mosaic distribution of abnormal cone cells, these limitations make us unable to exactly explain the reason for subnormal areas being predominantly observed at a distance of 0.5 mm from the fovea.

Nevertheless, recent studies revealed that RPGR defect is a common cause of cone-rod dystrophy and observed that mutations in RPGR can cause cone-specific degeneration, indicating that in addition to a well-established role for rod cells, RPGR has an important role in cone photoreceptors.39, 40, 41 Studies with knockout mice lacking the RPGR gene exhibit cone opsin mislocalization that is evident from early ages onward.42 For mice in which Rpqr exon 4 was deleted, extent of rod and cone involvement depended on the genetic background with cone disease predomination on the albino BALB/cJ background.43 From these background, we can draw a conclusion that the distance of 0.5 mm from the fovea have the highest density of cones with lowest density of rods, so that cone cells were easily and primarily affected by RPGR defect. Random X-inactivation may have a role in this phenomenon and that can be also associated with TLR, which generally exist within the posterior pole rather than peripheral area.10 However, the reason for this phenomenon in cone cell survival and abnormality remains elusive and it will be important to develop a more complete understanding of the role(s) of RPGR gene by comparing genotype–phenotype variations with AO-SLO system.

Although the number and structure of cones were disrupted, our carriers showed normal visual acuity and had tenuous abnormal ERG findings. Multiple but small foci of retinal disruption may not alter the full-field ERG and visual acuity, as these reflect the massed responses from the entire retina.8 However, previous studies with multifocal (mf) ERG presented a mosaic pattern of mfERG dysfunction in an XLRP carrier, although no clinically apparent retinal changes, retinal sensitivity losses on visual field testing, or abnormal full-field ERG response were observed.9 Thus, future studies on XLRP carriers should combine AO-SLO images with not only mfERG but also micoperimetry or visual-field tests to facilitate functional and structural assessments.

XLRP is the least common but most devastating form of RP.1, 12, 13, 14 RPGR and RP2 have been implicated in XLRP.16, 17 The diagnosis of XLRP has recently improved because of the introduction of DNA screening tests for these two genes. However, we have little information about genotype–phenotype variation of these two genes and their role in ciliary transport, especially in the carriers of presymptomatic XLRP. Therefore, we investigated five obligate carriers of XLRP by using divergent retinal imaging methods, including SD-OCT and novel AO-SLO system. Our study is significant because it is the first in vivo study to demonstrate the cone structure and estimate the number of cone cells in XLRP carriers. In all of our five carriers, a mosaic pattern of cone disruption was present even with normal visual acuity, macular thickness on SD-OCT, and full-field cone ERG findings, and in the absence of visual symptoms. We demonstrated that thorough analysis of AO-SLO images could be a sensitive method to detect mosaicism in XLRP carriers in the early stages of the disease, and provide in vivo genotype–phenotype correlations in patients with known genetic mutations.

Acknowledgments

Publication of this article was supported in part by the P30EY019007 (Core Support for Vision Research; SHT) Grants EY018213 (SHT) and EY019861 (SHT) from the National Eye Institute, National Institutes of Health, Bethesda, MD, USA; Foundation Fighting Blindness, Owings Mills, MD, USA; and unrestricted funds from Research to Prevent Blindness Inc., New York, NY, USA. SHT is a Fellow of the Burroughs-Wellcome Program in Biomedical Sciences, and has been supported by the Bernard Becker Association of University Professors in Ophthalmology Research to Prevent Blindness Award and Foundation Fighting Blindness, Dennis W Jahnigen Award of the American Geriatrics Society, Joel Hoffman Scholarship, Crowley and Barbara & Donald Jonas Family Funds. We thank Canon Inc., Tokyo, Japan for their technical support with the adaptive optics scanning laser ophthalmoscopy. Further gratitude is extended to the Dr Marcela Marsiglia for the referral of their patients for this study.

The authors declare no conflict of interest.

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