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The role of dark adaptation in understanding early AMD
Institution:1. Vision Science Lab., Faculty of Biology, Medicine and Health, University of Manchester, UK;2. Vision Science Centre, Manchester Royal Eye Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK;1. North Texas Eye Research Institute, University of North Texas Health Science Center, 3430 Camp Bowie Blvd, Fort Worth, TX, 76107, USA;2. Department of Pharmaceutical Sciences, University of North Texas Health Science Center, 3500 Camp Bowie Blvd, Fort Worth, TX, 76107, USA;3. Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, 3500 Camp Bowie Blvd, Fort Worth, TX, 76107, USA;4. College of Medicine, University of Oklahoma Health Sciences Center, 940 Stanton L Young, Oklahoma City, OK, USA;5. University of Oklahoma Health Sciences Center, 940 Stanton L Young, Oklahoma City, OK, USA;6. Department of Ophthalmology, Dean McGee Eye Institute, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA;1. Retina and Optic Nerve Research Laboratory, Dalhousie University, Halifax, Nova Scotia, Canada;2. Department of Medical Neuroscience, Dalhousie University, Halifax, Nova Scotia, Canada;3. Department of Ophthalmology and Visual Sciences, Dalhousie University, Halifax, Nova Scotia, Canada;4. Department of Physiology and Biophysics, Dalhousie University, Halifax, Nova Scotia, Canada;1. Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa;2. Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama;3. Department of Ophthalmology and Visual Sciences, University of Alabama at Birmingham, Birmingham, Alabama;1. Retina Service, Massachusetts Eye and Ear, Harvard Ophthalmology AMD Center of Excellence, Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts;2. Faculty of Medicine, University of Coimbra, Coimbra, Portugal;3. Association for Innovation and Biomedical Research on Light, AIBILI, Coimbra, Portugal;4. Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal;5. Department of Ophthalmology, School of Medicine, Kyungpook National University, South Korea;6. Glaucoma Service, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts
Abstract:The main aim of the paper is to discuss current knowledge on how Age Related Macular Degeneration (AMD) affects Dark Adaptation (DA). The paper is divided into three parts. Firstly, we outline some of the molecular mechanisms that control DA. Secondly, we review the psychophysical issues and the corresponding analytical techniques. Finally, we characterise the link between slowed DA and the morphological abnormalities in early AMD.Historically, DA has been regarded as too cumbersome for widespread clinical application. Yet the technique is extremely useful; it is widely accepted that the psychophysically obtained slope of the second rod-mediated phase of the dark adaptation function is an accurate assay of photoreceptor pigment regeneration kinetics. Technological developments have prompted new ways of generating the DA curve, but analytical problems remain. A simple potential solution to these, based on the application of a novel fast mathematical algorithm, is presented. This allows the calculation of the parameters of the DA curve in real time.Improving current management of AMD will depend on identifying a satisfactory endpoint for evaluating future therapeutic strategies. This must be implemented before the onset of severe disease. Morphological changes progress too slowly to act as a satisfactory endpoint for new therapies whereas functional changes, such as those seen in DA, may have more potential in this regard. It is important to recognise, however, that the functional changes are not confined to rods and that building a mathematical model of the DA curve enables the separation of rod and cone dysfunction and allows more versatility in terms of the range of disease severity that can be monitored. Examples are presented that show how analysing the DA curve into its constituent components can improve our understanding of the morphological changes in early AMD.
Keywords:Rhodopsin regeneration  Sensitivity control  Dark adaptation  Drusen  Early/intermediate AMD  Structure versus function
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