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Biology subjects

Paulus, Y.

Publications and source records attributed to Paulus, Y..

2 recordsLinked to original sources

USH2A gene mutations in rabbits lead to progressive retinal degeneration and hearing loss

Mutations in USH2A gene are responsible for the greatest proportion of hearing and vision loss among individuals with Usher Syndrome (USH) and for autosomal recessive non-syndromic retinitis pigmentosa. Mutations on USH2A exon 13 account for more than 35% of the disease causing USH2A variants including the most prevalence point mutation, c.2299delG, a frameshift mutation. The lack of a clinically relevant animal model has been a bottleneck for the development of therapeutics for USH2A related vision loss. Using CRSPR/Cas9 technology, this study establishes a rabbit line carrying an USH2A frameshift mutation on exon12 (equivalent to human USH2A Exon 13) as a novel mammalian animal model of USH2A. The bi-allelic mutant rabbits exhibit hyper reflective signals in FAF indicating RPE damage and OCT changes indicating photoreceptor degeneration as early as 4 months of age. ERG signals of both rod and cone function were reduced in the USH2A mutant rabbits starting from 7 months old and further decreased at 15-22 months old, indicating progressive retinal photoreceptor degeneration, which is further confirmed by retinal histopathology examination. ABR examination showed moderate to server hearing loss in the USH2A mutant rabbits. These results indicated that disruption of USH2A gene in rabbits is sufficient to induce hearing loss and progressive photoreceptor degeneration. To our knowledge, this is the first mammalian animal model of USH2 which closely recapitulates the phenotype of retinitis pigmentosa in human patients. This study supports the use of rabbits as a clinically relevant animal model to understand the pathogenesis and to develop novel therapeutics for Usher Syndrome.

developmental biology↗

A smartphone-based tool for rapid, portable, and automated wide-field retinal imaging

PurposeHigh-quality, wide-field retinal imaging is a valuable method to screen preventable, vision-threatening diseases of the retina. Smartphone-based retinal cameras hold promise for increasing access to retinal imaging, but variable image quality and restricted field of view can limit their utility. We developed and clinically tested a smartphone-based system that addresses these challenges with automation-assisted imaging.\n\nMethodsThe system was designed to improve smartphone retinal imaging by combining automated fixation guidance, photomontage, and multi-colored illumination with optimized optics, user-tested ergonomics, and touch-screen interface. System performance was evaluated from images of ophthalmic patients taken by non-ophthalmic personnel. Two masked ophthalmologists evaluated images for abnormalities and disease severity.\n\nResultsThe system automatically generated 100-degree retinal photomontages from five overlapping images in under 1 minute at full resolution (52.3 pixels per retinal degree) fully on-phone, revealing numerous retinal abnormalities. Feasibility of the system for DR screening using the retinal photomontages was performed in 71 diabetics by masked graders. DR grade matched perfectly with dilated clinical examination in 55.1% of eyes and within 1 severity level for 85.2% of eyes. For referral-warranted DR, average sensitivity was 93.3% and specificity 56.8%.\n\nConclusionsAutomation-assisted imaging produced high-quality, wide-field retinal images that demonstrate the potential of smartphone-based retinal cameras to be used for retinal disease screening.\n\nTranslational RelevanceEnhancement of smartphone-based retinal imaging through automation and software intelligence holds great promise for increasing the accessibility of retinal screening.

bioengineering↗