ArticleTranslational vision science & technology2022
Subretinal Drusenoid Deposit Formation: Insights From Turing Patterns.
Article in Translational vision science & technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Extent and Topography of Subretinal Drusenoid Deposits Associate With Rod-Mediated Vision in Aging and AMD: ALSTAR2 Baseline.Investigative ophthalmology & visual science · 2024Article
- Internal Carotid Artery Stenosis and Ipsilateral Subretinal Drusenoid Deposits.Investigative ophthalmology & visual science · 2024Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe purpose of this study was to demonstrate that the organized formation of subretinal drusenoid deposits (SDDs) may be a Turing pattern.
methodsA Java-based computational model of an inferred reaction-diffusion system using paired partial differential equations was used to create topographic images. Reaction kinetics were varied to illustrate a spectrum of pattern development, which were then compared to dot-like, reticular, and confluent SDD patterns observed clinically.
resultsA reaction-diffusion system using two agents, one an "activator" that increases its own production, and the other an "inhibitor" that decreases the activator's production, can create patterns that match the spectrum of topographic appearance of organized SDD. By varying a single parameter, the strength of the activator, the full spectrum of clinically observed SDD patterns can be generated. A new pattern, confluence with holes, is predicted and identified in one case example.
conclusionsThe formation of clinically significant SDD and its different patterns can be explained using Turing patterns obtained by simulating a two-component reaction-diffusion system. TRANSLATIONAL RELEVANCE: This model may be able to guide future risk stratification for patients with SDD, and provide mechanistic insights into the cause of the disease.
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