Author
Roberts, P
Gaffney, E
Whiteley, J
Luthert, P
Foss, A
Byrne, H
Journal title
Investigative Ophthalmology & Visual Science
DOI
10.1167/iovs.17-23177
Volume
59
Last updated
2024-04-11T04:24:45.82+01:00
Page
1238-1249.
Abstract
<h4>Purpose</h4> <p>To determine whether the oxygen toxicity hypothesis can explain the distinctive spatio-temporal patterns of retinal degeneration associated with human retinitis pigmentosa (RP) and to predict the effects of antioxidant and trophic factor treatments under this hypothesis.</p> <h4>Methods</h4> <p>Three mathematical models were derived to describe the evolution of the retinal oxygen concentration and photoreceptor density over time. The first model considers only hyperoxia-induced degeneration, while the second and third models include mutation-induced rod and cone loss respectively. The models were formulated as systems of partial differential equations, defined on a two dimensional domain spanning the region between the foveal centre and the ora serrata, and were solved numerically using the finite element method.</p> <h4>Results</h4> <p>The mathematical models recapitulate patterns of retinal degeneration which involve preferential loss of photoreceptors in the parafoveal/perifoveal and far-peripheral retina, while those which involve a preferential loss of mid-peripheral photoreceptors cannot be reproduced. Treatment with antioxidants or trophic factors is predicted to delay, halt or partially reverse retinal degeneration, depending upon the strength and timing of treatment and disease severity.</p> <h4>Conclusions</h4> <p>The model simulations indicate that while the oxygen toxicity hypothesis is sufficient to explain some of the patterns of retinal degeneration observed in human RP, additional mechanisms are necessary to explain the full range of behaviours. The models further suggest that antioxidant and trophic factor treatments have the potential to reduce hyperoxia-induced disease severity and that, where possible, these treatments should be targeted at retinal regions with low photoreceptor density to maximise their efficacy.</p>
Symplectic ID
817248
Favourite
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Publication type
Journal Article
Publication date
01 Jan 2018
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