Results 41 to 50 of about 1,714 (199)

Retinal pigment epithelium extracellular vesicles are potent inducers of age‐related macular degeneration disease phenotype in the outer retina

Journal of Extracellular Vesicles, Volume 11, Issue 12, December 2022., 2022
Abstract Age‐related macular degeneration (AMD) is a leading cause of blindness. Vision loss is caused by the retinal pigment epithelium (RPE) and photoreceptors atrophy and/or retinal and choroidal angiogenesis. Here we use AMD patient‐specific RPE cells with the Complement Factor H Y402H high‐risk polymorphism to perform a comprehensive analysis of ...
Marzena Kurzawa‐Akanbi, Phillip Whitfield, Florence Burté, Pietro Maria Bertelli, Varun Pathak, Mary Doherty, Birthe Hilgen, Lina Gliaudelytė, Mark Platt, Rachel Queen, Jonathan Coxhead, Andrew Porter, Maria Öberg, Daniela Fabrikova, Tracey Davey, Chia Shyan Beh, Maria Georgiou, Joseph Collin, Veronika Boczonadi, Anetta Härtlova, Michael Taggart, Jumana Al‐Aama, Viktor I Korolchuk, Christopher M Morris, Jasenka Guduric‐Fuchs, David H Steel, Reinhold J Medina, Lyle Armstrong, Majlinda Lako   +28 more
wiley   +1 more source

Subretinal pigment epithelial deposition of Drusen components including hydroxyapatite in a primary cell culture model [PDF]

, 2016
Purpose: Extracellular deposits containing hydroxyapatite, lipids, proteins, and trace metals that form between the basal lamina of the RPE and the inner collagenous layer of Bruch's membrane are hallmarks of early AMD.
Curcio, CA, Emri, E, Fearn, S, Guidry, C, Knowles, JC, Lanzirotti, A, Lengyel, I, Messinger, JD, Newville, M, Pilgrim, MG, Read, RW   +10 more
core   +1 more source

Fructosamine-3-kinase as a potential treatment option for age-related macular degeneration [PDF]

, 2020
Age-related macular degeneration is the leading cause of blindness in the developed world. Since advanced glycation end products (AGEs) are implicated in the pathogenesis of AMD through various lines of evidence, we investigated the potential of ...
Boston, Nezahat, Bracke, Ken, De Bruyne, Sander, De Wever, Olivier, Delanghe, Joris, Himpe, Jonas, Huizing, Manon, Khelifi, Samira, Speeckaert, Marijn, Van Aken, Elisabeth, Van den Broecke, Caroline, Van Dorpe, Jo, Vral, Anne, Vrielinck, Henk   +13 more
core   +1 more source

Retinal progression biomarkers of early and intermediate age-related macular degeneration [PDF]

, 2021
Funding Information: Funding: This work was supported by Fundação para a Ciência e Tecnologia project PTDC/MED-PAT/30385/2017 and iNOVA4Health-UIDB/04462/2020, a program financially supported by Fun-dação para a Ciência e Tecnologia/Ministério da ...
Carneiro, Ângela, Flores, Rita, Seabra, Miguel C., Tenreiro, Sandra   +3 more
core   +2 more sources

Deep learning identify retinal nerve fibre and choroid layers as markers of age‐related macular degeneration in the classification of macular spectral‐domain optical coherence tomography volumes

Acta Ophthalmologica, Volume 100, Issue 8, Page 937-945, December 2022., 2022
Abstract Purpose Deep learning models excel in classifying medical image data but give little insight into the areas identified as pathology. Visualization of a deep learning model’s point of interest (POI) may reveal unexpected areas associated with diseases such as age‐related macular degeneration (AMD).
Arnt‐Ole Tvenning, Stian Rikstad Hanssen, Dordi Austeng, Tora Sund Morken   +3 more
wiley   +1 more source

Assessment of the Classification of Age-Related Macular Degeneration Severity from the Northern Ireland Sensory Ageing Study Using a Measure of Dark Adaptation

Ophthalmology Science, 2022
Purpose: To assess the differences in rod-mediated dark adaptation (RMDA) between different grades of age-related macular degeneration (AMD) severity using an OCT-based criterion compared with those of AMD severity using the Beckman color fundus ...
Bethany E. Higgins, MRes, Giovanni Montesano, MD, David P. Crabb, PhD, Timos T. Naskas, PhD, Katie W. Graham, PhD, Usha Chakravarthy, MD, PhD, Frank Kee, MD, David M. Wright, PhD, Ruth E. Hogg, PhD   +8 more
doaj   +1 more source

En-face optical coherence tomography in the diagnosis and management of age-related macular degeneration and polypoidal choroidal vasculopathy [PDF]

, 2015
published_or_final_versio
Chhablani, J, Iu, LPL, Koizumi, H, Lau, T, Lee, JW, Tao, Y, Wong, RL, Wong, YHI   +7 more
core   +1 more source

Quantification of key retinal features in early and late age-related macular degeneration using deep learning [PDF]

, 2021
PURPOSE: To develop and validate a deep learning model for segmentation of 13 features associated with neovascular and atrophic age-related macular degeneration (AMD).
Alsaedi, A, Bailey, C, Balaskas, K, Dhingra, N, Egan, CA, Gonzalo, CG, Heeren, TFC, Liefers, B, Lotery, A, Müller, PL, Olvera-Barrios, A, Paul, B, Rodrigues, FG, Schwartz, R, Sánchez, CI, Taylor, P, Thomas, DS, Tufail, A, Warwick, AN   +18 more
core   +1 more source

Subretinal Drusenoid Deposits in a Patient With HELLP (Hemolysis, Elevated Liver Enzymes, Low Platelet) Syndrome. [PDF]

Cureus
Subretinal drusenoid deposits (SDD) are findings that can be observed in age-related macular degeneration as well as in ischemic ocular diseases. These deposits are believed to be of prognostic importance, as they have been shown to be associated with choroidal neovascularization.
Durmaz Engin C, Karti O, Kandemir K.
europepmc   +3 more sources

7-Ketocholesterol increases retinal microglial migration, activation, and angiogenicity: a potential pathogenic mechanism underlying age-related macular degeneration. [PDF]

, 2015
Age-related macular degeneration (AMD) has been associated with both accumulation of lipid and lipid oxidative products, as well as increased neuroinflammatory changes and microglial activation in the outer retina.
Fariss, Robert N, Indaram, Maanasa, Ma, Wenxin, Rodriguez, Ignacio R, Wong, Wai T, Zhao, Lian   +5 more
core   +3 more sources