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Figure 1.  Multimodal Imaging of the Father (I-1), Mother (I-2), and Patients (II-1 and II-2)
Multimodal Imaging of the Father (I-1), Mother (I-2), and Patients (II-1 and II-2)

A, Fundus photographs. B, In the adaptive optics scanning light ophthalmoscopic (AOSLO) montages superimposed on fundus photographs, the dotted lines indicate the locations of the optical coherence tomographic images above. Yellow squares (B and C) indicate the AOSLO locations shown in D through F. The boxes (D and F) indicate the locations of AOSLO images shown at higher magnification in Figure 2. The scale bar in the AOSLO montage for patient II-2 applies to all of the fundus photographs, and the scale bar in the 1.7-mm AOSLO image for the same patient applies to all of the AOSLO images (D-F). FAF indicates fundus autofluorescence.

Figure 2.  Photoreceptor Labeling
Photoreceptor Labeling

The adaptive optics scanning light ophthalmoscopic image locations (A, C, and D) correspond to the boxes in Figure 1D and F. A, Red dots indicate foveal cones. B, Open circle indicates the foveal avascular zone center; X, peak cone density; and +, preferred retinal locus. C and D, x indicates cones; red dots, rods.

Figure 3.  Photoreceptor Spacing
Photoreceptor Spacing

AOSLO indicates adaptive optics scanning light ophthalmoscopy; dashed lines, exponential fit curves for patients II-1 and II-2.

1.
Allikmets  R, Singh  N, Sun  H,  et al.  A photoreceptor cell-specific ATP-binding transporter gene (ABCR) is mutated in recessive Stargardt macular dystrophy.  Nat Genet. 1997;15(3):236-246.PubMedGoogle ScholarCrossref
2.
Sun  H, Nathans  J.  Stargardt’s ABCR is localized to the disc membrane of retinal rod outer segments.  Nat Genet. 1997;17(1):15-16.PubMedGoogle ScholarCrossref
3.
Sun  H, Molday  RS, Nathans  J.  Retinal stimulates ATP hydrolysis by purified and reconstituted ABCR, the photoreceptor-specific ATP-binding cassette transporter responsible for Stargardt disease.  J Biol Chem. 1999;274(12):8269-8281.PubMedGoogle ScholarCrossref
4.
Weng  J, Mata  NL, Azarian  SM, Tzekov  RT, Birch  DG, Travis  GH.  Insights into the function of Rim protein in photoreceptors and etiology of Stargardt’s disease from the phenotype in abcr knockout mice.  Cell. 1999;98(1):13-23.PubMedGoogle ScholarCrossref
5.
Cideciyan  AV, Aleman  TS, Swider  M,  et al.  Mutations in ABCA4 result in accumulation of lipofuscin before slowing of the retinoid cycle: a reappraisal of the human disease sequence.  Hum Mol Genet. 2004;13(5):525-534.PubMedGoogle ScholarCrossref
6.
Cremers  FPM, van de Pol  DJR, van Driel  M,  et al.  Autosomal recessive retinitis pigmentosa and cone-rod dystrophy caused by splice site mutations in the Stargardt’s disease gene ABCR Hum Mol Genet. 1998;7(3):355-362.PubMedGoogle ScholarCrossref
7.
Stone  EM, Webster  AR, Vandenburgh  K,  et al.  Allelic variation in ABCR associated with Stargardt disease but not age-related macular degeneration.  Nat Genet. 1998;20(4):328-329.PubMedGoogle ScholarCrossref
8.
Zernant  J, Xie  YA, Ayuso  C,  et al.  Analysis of the ABCA4 genomic locus in Stargardt disease.  Hum Mol Genet. 2014;23(25):6797-6806.PubMedGoogle ScholarCrossref
9.
Schindler  EI, Nylen  EL, Ko  AC,  et al.  Deducing the pathogenic contribution of recessive ABCA4 alleles in an outbred population.  Hum Mol Genet. 2010;19(19):3693-3701.PubMedGoogle ScholarCrossref
10.
Cideciyan  AV, Swider  M, Aleman  TS,  et al.  ABCA4 disease progression and a proposed strategy for gene therapy.  Hum Mol Genet. 2009;18(5):931-941.PubMedGoogle Scholar
11.
Lois  N, Halfyard  AS, Bird  AC, Holder  GE, Fitzke  FW.  Fundus autofluorescence in Stargardt macular dystrophy–fundus flavimaculatus.  Am J Ophthalmol. 2004;138(1):55-63.PubMedGoogle ScholarCrossref
12.
Lee  W, Nõupuu  K, Oll  M,  et al.  The external limiting membrane in early-onset Stargardt disease.  Invest Ophthalmol Vis Sci. 2014;55(10):6139-6149.PubMedGoogle ScholarCrossref
13.
Dubra  A, Sulai  Y.  Reflective afocal broadband adaptive optics scanning ophthalmoscope.  Biomed Opt Express. 2011;2(6):1757-1768.PubMedGoogle ScholarCrossref
14.
Chen  Y, Ratnam  K, Sundquist  SM,  et al.  Cone photoreceptor abnormalities correlate with vision loss in patients with Stargardt disease.  Invest Ophthalmol Vis Sci. 2011;52(6):3281-3292.PubMedGoogle ScholarCrossref
15.
Song  H, Chui  TY, Zhong  Z, Elsner  AE, Burns  SA.  Variation of cone photoreceptor packing density with retinal eccentricity and age.  Invest Ophthalmol Vis Sci. 2011;52(10):7376-7384.PubMedGoogle ScholarCrossref
16.
Kim  JE, Chung  M.  Adaptive optics for retinal imaging: current status.  Retina. 2013;33(8):1483-1486.PubMedGoogle ScholarCrossref
17.
Song  H, Latchney  L, Williams  D, Chung  M.  Fluorescence adaptive optics scanning laser ophthalmoscope for detection of reduced cones and hypoautofluorescent spots in fundus albipunctatus.  JAMA Ophthalmol. 2014;132(9):1099-1104.PubMedGoogle ScholarCrossref
18.
Genead  MA, Fishman  GA, Rha  J,  et al.  Photoreceptor structure and function in patients with congenital achromatopsia.  Invest Ophthalmol Vis Sci. 2011;52(10):7298-7308.PubMedGoogle ScholarCrossref
19.
Scoles  D, Sulai  YN, Langlo  CS,  et al.  In vivo imaging of human cone photoreceptor inner segments.  Invest Ophthalmol Vis Sci. 2014;55(7):4244-4251.PubMedGoogle ScholarCrossref
Brief Report
October 2015

Cone and Rod Loss in Stargardt Disease Revealed by Adaptive Optics Scanning Light Ophthalmoscopy

Author Affiliations
  • 1Center for Visual Science, University of Rochester, Rochester, New York
  • 2Flaum Eye Institute, University of Rochester, Rochester, New York
  • 3Department of Ophthalmology and Visual Sciences, Carver College of Medicine, Iowa City, Iowa
  • 4Stephen A. Wynn Institute for Vision Research, University of Iowa, Iowa City
  • 5Howard Hughes Medical Institute, University of Iowa, Iowa City
  • 6The Institute of Optics, University of Rochester, Rochester, New York
JAMA Ophthalmol. 2015;133(10):1198-1203. doi:10.1001/jamaophthalmol.2015.2443
Abstract

Importance  Stargardt disease (STGD1) is characterized by macular atrophy and flecks in the retinal pigment epithelium. The causative ABCA4 gene encodes a protein localizing to photoreceptor outer segments. The pathologic steps by which ABCA4 mutations lead to clinically detectable retinal pigment epithelium changes remain unclear. We investigated early STGD1 using adaptive optics scanning light ophthalmoscopy.

Observations  Adaptive optics scanning light ophthalmoscopy imaging of 2 brothers with early STGD1 and their unaffected parents was compared with conventional imaging. Cone and rod spacing were increased in both patients (P < .001) with a dark cone appearance. No foveal cones were detected in the older brother. In the younger brother, foveal cones were enlarged with low density (peak cone density, 48.3 × 103 cones/mm2). The ratio of cone to rod spacing was increased in both patients, with greater divergence from normal approaching the foveal center, indicating that cone loss predominates centrally and rod loss increases peripherally. Both parents had normal photoreceptor mosaics. Genetic testing revealed 3 disease-causing mutations.

Conclusions and Relevance  This study provides in vivo images of rods and cones in STGD1. Although the primary clinical features of STGD1 are retinal pigment epithelial lesions, adaptive optics scanning light ophthalmoscopy reveals increased cone and rod spacing in areas that appear normal in conventional images, suggesting that photoreceptor loss precedes clinically detectable retinal pigment epithelial disease in STGD1.

Introduction

Stargardt disease (STGD1) is characterized by macular atrophy and peripheral flecks in the retinal pigment epithelium (RPE). The causative gene, ABCA4 (OMIM 601691),1 encodes a protein localizing to photoreceptor outer segments2 that transports vitamin A byproducts across the disc membrane.3 Loss of ABCA4 function is associated with RPE lipofuscin accumulation4 and photoreceptor degeneration in mouse models. A pathogenic sequence of lipofuscin accumulation leading to RPE cell damage and then photoreceptor loss has been proposed.5

Mutations of ABCA4 are associated with a spectrum of phenotypes, including cone-rod dystrophy and retinitis pigmentosa.6 Several hundred sequence variations in ABCA4 have been identified.7,8 Assessment of the pathogenic contribution of disease-causing alleles has indicated the presence of non-ABCA4 modifying factors.9 Given the phenotypic variability of ABCA4-associated disease, predicting its spatial and temporal progression is critical for the development of potential therapies.10

Conventional imaging has been useful to characterize STGD1. Fundus autofluorescence (FAF) shows early diffuse lipofuscin accumulation, hyper-AF within flecks, and hypo-AF indicating RPE atrophy.11 Optical coherence tomography (OCT) shows thickening of the foveal external limiting membrane, suggesting early gliosis.12 These methods remain limited by the eye’s optical irregularities.

Adaptive optics scanning light ophthalmoscopy (AOSLO) enables visualization of single photoreceptor cells in the living human retina, including foveal cones and peripheral rods.13 Diseased photoreceptors can be measured quantitatively, and cone loss has been shown14 to correlate with clinically identified lesions in STGD1. To investigate early STGD1, we used AOSLO to evaluate 2 brothers with macular atrophy, a mild phenotype, and their unaffected parents.

Box Section Ref ID

At a Glance

  • To investigate the pathologic sequence of Stargardt disease, we used adaptive optics scanning light ophthalmoscopy (AOSLO) to examine the cones and rods in 2 brothers with early macular atrophy.

  • AOSLO revealed increased cone and rod spacing in areas that appeared normal in conventional images, suggesting that photoreceptor loss precedes clinically detectable retinal pigment epithelium disease.

  • Early pathologic features detected by AOSLO included a decline in peak foveal cone density and enlarged photoreceptor size.

  • The presence of dark cones suggests foreshortened outer segments that may indicate potential target areas for therapy.

  • Both parents, genetically confirmed carriers of disease-causing mutations in ABCA4, had normal photoreceptor mosaics.

Methods
Clinical Examination

Complete ophthalmic examinations, fundus photographs (FF450plus; Carl Zeiss Meditec Inc), and spectral-domain OCT and FAF (Spectralis OCT and Heidelberg Regina Angiograph; Heidelberg Engineering) were obtained. The University of Rochester Research Subjects Review Board approved this study. Written informed consent was obtained and participants received financial compensation.

Molecular Genetics

Participants’ DNA was tested for mutations in ABCA4. Sequence variations were evaluated as disease causing by using standard techniques.7

AOSLO Imaging

Cone and rod photoreceptor images were acquired using the Rochester AOSLO technique (eMethods in the Supplement). Photoreceptors were labeled semiautomatically. A foveal cone density map was generated and peak cone density was measured. The center of the foveal avascular zone and the preferred retinal locus were identified. Photoreceptor spacing was compared with normative AOSLO or histologic data15 using 1-way analysis of variance with Bonferroni correction.

Results
Clinical Data and Molecular Genetics

Two brothers with STGD1 and their unaffected parents, both in their 40s, were examined. The older brother (II-1) had 20/150 Snellen visual acuity with a central scotoma. The younger brother (II-2) had 20/30 Snellen visual acuity. The father (I-1) and mother (I-2) had normal visual acuity. Molecular genetic analysis revealed 3 disease-causing ABCA4 mutations: Gly1961Glu (paternal allele) and Gly863Ala and Arg2030Stop (maternal allele).

Clinical Imaging

Both parents’ fundus, OCT, and FAF images were normal (Figure 1A-C). One son (II-1) showed macular atrophy with no peripheral flecks. Optical coherence tomography confirmed atrophy of the outer retina, RPE at the fovea, and normal layers at 1.7 mm. Fundus autofluorescence indicated central hypo-AF, surrounding hyper-AF at 0.7 mm, and uniform AF at 1.7 mm (Figure 1A-C).

The other son (II-2) had a subtle bull’s-eye maculopathy with no peripheral flecks. Optical coherence tomography showed foveal preservation of the outer segments with a thickened external limiting membrane, perifoveal atrophy of the outer retina and RPE, and normal layers at 1.7 mm. Fundus AF indicated a bull’s-eye with central hyper-AF, and surrounding annular hypo-AF, then hyper-AF at 0.7 mm. Autofluorescence was uniform at 1.7 mm (Figure 1A-C).

Photoreceptor Structure

Both parents’ photoreceptor mosaics were normal (Figure 1D-F). Cones were continuous and densely packed at the fovea, with increased spacing eccentrically. At 1.7 mm, rods were identified, but rod spacing could not be measured reliably owing to dense packing and the more limited resolution for rods at the wavelength and pinhole settings used.

At the fovea, no cones were identifiable in patient II-1 (Figure 1D). In patient II-2, foveal cones were sparse and enlarged, with a surrounding annulus of no identifiable cones (Figure 1D and Figure 2A). Peak cone density measured 48.3 × 103 cones/mm2 (normal, 199 × 103 cones/mm2 ± 87 × 103 cones/mm2). The locations of peak cone density, foveal avascular zone center, and preferred retinal locus were within 50 µm (Figure 2B).

Eccentrically, photoreceptors were qualitatively similar for patients II-1 and II-2. At 0.7 mm, cones were sparse, and cone spacing could not be measured reliably owing to the absence of a continuous mosaic (Figure 1E). At 1.7 mm, cones were abnormally dark, enlarged, and sparse; individual rods were identified and quantifiable (Figure 1F; Figure 2C and D).

Photoreceptor Spacing

Both parents’ cone spacing was normal at all locations measured. In both affected brothers, cone spacing was increased and was worse in patient II-1 (P < 10−6). Rod spacing was also increased and was worse in patient II-1 (P = .048), diverging further from normal with increasing eccentricity. The ratio of cone to rod spacing was increased, again worse in patient II-1 (P < 10−6), and was most divergent from normal at lower eccentricities (Figure 3).

Discussion

Although cone loss has been shown14 to correlate with clinically identified lesions in STGD1, in this study, in vivo AOSLO imaging of both rods and cones revealed several patterns of photoreceptor disease that are not detectable by conventional imaging methods. Although both affected individuals manifested macular atrophy without flecks, photoreceptor spacing was significantly increased peripheral to the clinically detectable lesions. Fundus autofluorescence is homogeneous at these locations, suggesting that a decline in photoreceptors precedes lipofuscin accumulation in the macular atrophy phenotype. The finding that increased photoreceptor spacing was greater in the older brother with more advanced disease lends further credence to the hypothesis that photoreceptor loss represents an early step in the pathogenic sequence. Further investigation, including longitudinal follow-up and fluorescence AOSLO, is needed to confirm this interpretation.

In patient II-2, peak foveal cone density measured approximately 25% of the normal mean, consistent with a previous report14 describing increased cone spacing near the fovea in STGD1. The foveal cones were continuous and larger than normal. At 1.7 mm in both patients, rods were similarly continuous with increased spacing. Whether photoreceptors enlarge and migrate to fill gaps where cells have died or whether fewer photoreceptors are present at birth in STGD1 remains unknown.

The ratio of cone to rod spacing was increased, with greater divergence from normal approaching the fovea, suggesting that cone loss predominates centrally and rod loss increases peripherally. In patient II-2, the locations of peak cone density, preferred retinal locus, and foveal avascular zone center did not overlap but were within normal range. The divergence of these points may be useful to monitor early foveal disease.

Peripherally, cone reflectance was diminished, producing a dark appearance. The presence of dark cones has been described16-19 in other retinal degenerations and may represent foreshortened outer segments. Nonconfocal split-detector AOSLO has shown16 intact inner segments underlying dark cones, which may indicate potential targets for treatment, such as gene therapy.

Two of the 3 disease-causing mutations—Gly1961Glu (paternal) and Gly863Ala (maternal)—have been associated with a milder visual acuity and visual field phenotype.9 The additional Arg2030Stop mutation on the maternal allele is uncommon, and its pathogenic contribution has not been well described, but the 2 mutations on the maternal allele were not sufficient to cause disease in the carrier state.

Conclusions

Adaptive optics scanning light ophthalmoscopy reveals increased cone and rod spacing in regions outside of the clinically detectable RPE changes in the macular atrophy phenotype of STGD1. Cone loss predominates closer to the fovea, with a greater contribution from rod loss in the periphery. Dark cones may indicate areas of outer-segment loss with preserved inner segments, suggesting potential therapeutic targets.

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Article Information

Corresponding Author: Mina Chung, MD, Flaum Eye Institute, University of Rochester, 601 Elmwood Ave, PO Box 659, Rochester, NY 14642 (mina_chung@urmc.rochester.edu).

Submitted for Publication: March 6, 2015; final revision received June 2, 2015; accepted June 10, 2015.

Published Online: August 6, 2015. doi:10.1001/jamaophthalmol.2015.2443.

Author Contributions: Drs Song and Chung had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Study concept and design: Song, Hunter, Williams, Chung.

Acquisition, analysis, or interpretation of data: Song, Rossi, Latchney, Bessette, Stone, Hunter, Chung.

Drafting of the manuscript: Song, Rossi, Latchney, Chung.

Critical revision of the manuscript for important intellectual content: Song, Rossi, Bessette, Stone, Hunter, Williams, Chung.

Statistical analysis: Song, Chung.

Obtained funding: Stone, Chung.

Administrative, technical, or material support: Song, Latchney, Stone, Williams.

Study supervision: Stone, Hunter, Chung.

Conflict of Interest Disclosures: All authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Drs Song and Rossi have received grant support from Canon Inc, Dr Hunter has received grant support from Polgenix Inc, Dr Williams has received grant support from Polgenix Inc and Canon Inc, and Dr Chung has served as a consultant for GlaxoSmithKline and received grant support from Canon Inc. No other disclosures are reported.

Funding/Support: This work was supported by National Institutes of Health (NIH) grants EY021786, EY014375, and EY001319; a grant from the Edward N. & Della L. Thome Memorial Foundation; University of Rochester Clinical Trials and Science Institute award number UL1 RR024160 from the National Center for Research Resources and the National Center for Advancing Translational Sciences of the NIH; and an unrestricted departmental grant from Research to Prevent Blindness.

Role of the Funder/Sponsor: The funding organizations had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Additional Contributions: Margaret Folwell, MS (Center for Visual Science, University of Rochester), performed image processing. There was no financial compensation.

References
1.
Allikmets  R, Singh  N, Sun  H,  et al.  A photoreceptor cell-specific ATP-binding transporter gene (ABCR) is mutated in recessive Stargardt macular dystrophy.  Nat Genet. 1997;15(3):236-246.PubMedGoogle ScholarCrossref
2.
Sun  H, Nathans  J.  Stargardt’s ABCR is localized to the disc membrane of retinal rod outer segments.  Nat Genet. 1997;17(1):15-16.PubMedGoogle ScholarCrossref
3.
Sun  H, Molday  RS, Nathans  J.  Retinal stimulates ATP hydrolysis by purified and reconstituted ABCR, the photoreceptor-specific ATP-binding cassette transporter responsible for Stargardt disease.  J Biol Chem. 1999;274(12):8269-8281.PubMedGoogle ScholarCrossref
4.
Weng  J, Mata  NL, Azarian  SM, Tzekov  RT, Birch  DG, Travis  GH.  Insights into the function of Rim protein in photoreceptors and etiology of Stargardt’s disease from the phenotype in abcr knockout mice.  Cell. 1999;98(1):13-23.PubMedGoogle ScholarCrossref
5.
Cideciyan  AV, Aleman  TS, Swider  M,  et al.  Mutations in ABCA4 result in accumulation of lipofuscin before slowing of the retinoid cycle: a reappraisal of the human disease sequence.  Hum Mol Genet. 2004;13(5):525-534.PubMedGoogle ScholarCrossref
6.
Cremers  FPM, van de Pol  DJR, van Driel  M,  et al.  Autosomal recessive retinitis pigmentosa and cone-rod dystrophy caused by splice site mutations in the Stargardt’s disease gene ABCR Hum Mol Genet. 1998;7(3):355-362.PubMedGoogle ScholarCrossref
7.
Stone  EM, Webster  AR, Vandenburgh  K,  et al.  Allelic variation in ABCR associated with Stargardt disease but not age-related macular degeneration.  Nat Genet. 1998;20(4):328-329.PubMedGoogle ScholarCrossref
8.
Zernant  J, Xie  YA, Ayuso  C,  et al.  Analysis of the ABCA4 genomic locus in Stargardt disease.  Hum Mol Genet. 2014;23(25):6797-6806.PubMedGoogle ScholarCrossref
9.
Schindler  EI, Nylen  EL, Ko  AC,  et al.  Deducing the pathogenic contribution of recessive ABCA4 alleles in an outbred population.  Hum Mol Genet. 2010;19(19):3693-3701.PubMedGoogle ScholarCrossref
10.
Cideciyan  AV, Swider  M, Aleman  TS,  et al.  ABCA4 disease progression and a proposed strategy for gene therapy.  Hum Mol Genet. 2009;18(5):931-941.PubMedGoogle Scholar
11.
Lois  N, Halfyard  AS, Bird  AC, Holder  GE, Fitzke  FW.  Fundus autofluorescence in Stargardt macular dystrophy–fundus flavimaculatus.  Am J Ophthalmol. 2004;138(1):55-63.PubMedGoogle ScholarCrossref
12.
Lee  W, Nõupuu  K, Oll  M,  et al.  The external limiting membrane in early-onset Stargardt disease.  Invest Ophthalmol Vis Sci. 2014;55(10):6139-6149.PubMedGoogle ScholarCrossref
13.
Dubra  A, Sulai  Y.  Reflective afocal broadband adaptive optics scanning ophthalmoscope.  Biomed Opt Express. 2011;2(6):1757-1768.PubMedGoogle ScholarCrossref
14.
Chen  Y, Ratnam  K, Sundquist  SM,  et al.  Cone photoreceptor abnormalities correlate with vision loss in patients with Stargardt disease.  Invest Ophthalmol Vis Sci. 2011;52(6):3281-3292.PubMedGoogle ScholarCrossref
15.
Song  H, Chui  TY, Zhong  Z, Elsner  AE, Burns  SA.  Variation of cone photoreceptor packing density with retinal eccentricity and age.  Invest Ophthalmol Vis Sci. 2011;52(10):7376-7384.PubMedGoogle ScholarCrossref
16.
Kim  JE, Chung  M.  Adaptive optics for retinal imaging: current status.  Retina. 2013;33(8):1483-1486.PubMedGoogle ScholarCrossref
17.
Song  H, Latchney  L, Williams  D, Chung  M.  Fluorescence adaptive optics scanning laser ophthalmoscope for detection of reduced cones and hypoautofluorescent spots in fundus albipunctatus.  JAMA Ophthalmol. 2014;132(9):1099-1104.PubMedGoogle ScholarCrossref
18.
Genead  MA, Fishman  GA, Rha  J,  et al.  Photoreceptor structure and function in patients with congenital achromatopsia.  Invest Ophthalmol Vis Sci. 2011;52(10):7298-7308.PubMedGoogle ScholarCrossref
19.
Scoles  D, Sulai  YN, Langlo  CS,  et al.  In vivo imaging of human cone photoreceptor inner segments.  Invest Ophthalmol Vis Sci. 2014;55(7):4244-4251.PubMedGoogle ScholarCrossref
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