» Articles » PMID: 29074494

Phenotypic Diversity in Autosomal-dominant Cone-rod Dystrophy Elucidated by Adaptive Optics Retinal Imaging

Overview
Journal Br J Ophthalmol
Specialty Ophthalmology
Date 2017 Oct 28
PMID 29074494
Citations 17
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: Several genes causing autosomal-dominant cone-rod dystrophy (AD-CRD) have been identified. However, the mechanisms by which genetic mutations lead to cellular loss in human disease remain poorly understood. Here we combine genotyping with high-resolution adaptive optics retinal imaging to elucidate the retinal phenotype at a cellular level in patients with AD-CRD harbouring a defect in the gene.

Methods: Nine affected members of a four-generation AD-CRD pedigree and three unaffected first-degree relatives underwent clinical examinations including visual acuity, fundus examination, Goldmann perimetry, spectral domain optical coherence tomography and electroretinography. Genome-wide scan followed by bidirectional sequencing was performed on all affected participants. High-resolution imaging using a custom adaptive optics scanning light ophthalmoscope (AOSLO) was performed for selected participants.

Results: Clinical evaluations showed a range of disease severity from normal fundus appearance in teenaged patients to pronounced macular atrophy in older patients. Molecular genetic testing showed a mutation in in segregating with disease. AOSLO imaging revealed that of the two teenage patients with mild disease, one had severe disruption of the photoreceptor mosaic while the other had a normal cone mosaic.

Conclusions: AOSLO imaging demonstrated variability in the pattern of cone and rod cell loss between two teenage cousins with early AD-CRD, who had similar clinical features and had the identical disease-causing mutation in . This finding suggests that a mutation in does not lead to the same degree of AD-CRD in all patients. Modifying factors may mitigate or augment disease severity, leading to different retinal cellular phenotypes.

Citing Articles

Molecular Mechanisms Governing Sight Loss in Inherited Cone Disorders.

Brotherton C, Megaw R Genes (Basel). 2024; 15(6).

PMID: 38927662 PMC: 11202562. DOI: 10.3390/genes15060727.


LONGITUDINAL ADAPTIVE OPTICS SCANNING LASER OPHTHALMOSCOPY REVEALS REGIONAL VARIATION IN CONE AND ROD PHOTORECEPTOR LOSS IN STARGARDT DISEASE.

Song H, Hang H, Li K, Rossi E, Zhang J Retina. 2024; 44(8):1403-1412.

PMID: 38484106 PMC: 11269039. DOI: 10.1097/IAE.0000000000004104.


Characteristics of Rare Inherited Retinal Dystrophies in Adaptive Optics-A Study on 53 Eyes.

Samelska K, Szaflik J, Guszkowska M, Kurowska A, Zaleska-Zmijewska A Diagnostics (Basel). 2023; 13(15).

PMID: 37568834 PMC: 10417470. DOI: 10.3390/diagnostics13152472.


Pearls and Pitfalls of Adaptive Optics Ophthalmoscopy in Inherited Retinal Diseases.

Ashourizadeh H, Fakhri M, Hassanpour K, Masoudi A, Jalali S, Roshandel D Diagnostics (Basel). 2023; 13(14).

PMID: 37510157 PMC: 10377978. DOI: 10.3390/diagnostics13142413.


Extracting spacing-derived estimates of rod density in healthy retinae.

Heitkotter H, Patterson E, Woertz E, Cava J, Gaffney M, Adhan I Biomed Opt Express. 2023; 14(1):1-17.

PMID: 36698662 PMC: 9842010. DOI: 10.1364/BOE.473101.


References
1.
Duncan J, Zhang Y, Gandhi J, Nakanishi C, Othman M, Branham K . High-resolution imaging with adaptive optics in patients with inherited retinal degeneration. Invest Ophthalmol Vis Sci. 2007; 48(7):3283-91. DOI: 10.1167/iovs.06-1422. View

2.
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):1099-104. PMC: 4162840. DOI: 10.1001/jamaophthalmol.2014.1079. View

3.
Miloudi C, Rossant F, Bloch I, Chaumette C, Leseigneur A, Sahel J . The Negative Cone Mosaic: A New Manifestation of the Optical Stiles-Crawford Effect in Normal Eyes. Invest Ophthalmol Vis Sci. 2015; 56(12):7043-50. DOI: 10.1167/iovs.15-17022. View

4.
Stone E . Finding and interpreting genetic variations that are important to ophthalmologists. Trans Am Ophthalmol Soc. 2004; 101:437-84. PMC: 1359000. View

5.
Schaffer A, Gupta S, Shriram K, Cottingham Jr R . Avoiding recomputation in linkage analysis. Hum Hered. 1994; 44(4):225-37. DOI: 10.1159/000154222. View