Vascular changes in optical coherence tomography angiography unveiling the depths of dry age-related macular degeneration: a review DOI Creative Commons

Bogdan Dugiełło,

Adam Wylęgała, Magdalena Kijonka

et al.

Expert Review of Medical Devices, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 15

Published: Oct. 25, 2024

Introduction Recent advancements in imaging techniques, particularly optical coherence tomography angiography (OCTA), have transformed our understanding of retinal microvascular changes various ocular diseases, including dry age-related macular degeneration (AMD). Our literature review summarizes key findings on vascular alterations AMD as observed with OCTA, highlighting their implications for disease progression and management.

Language: Английский

Deep Learning Approaches to Predict Geographic Atrophy Progression Using Three-Dimensional OCT Imaging DOI Creative Commons
Kenta Yoshida, Neha Anegondi,

Adam Pely

et al.

Translational Vision Science & Technology, Journal Year: 2025, Volume and Issue: 14(2), P. 11 - 11

Published: Feb. 6, 2025

Purpose: To evaluate the performance of various approaches processing three-dimensional (3D) optical coherence tomography (OCT) images for deep learning models in predicting area and future growth rate geographic atrophy (GA) lesions caused by age-related macular degeneration (AMD). Methods: The study used OCT volumes GA patients/eyes from lampalizumab clinical trials (NCT02247479, NCT02247531, NCT02479386); 1219 442 eyes model development holdout evaluation, respectively. Four were evaluated: (1) en-face intensity maps; (2) SLIVER-net; (3) a 3D convolutional neural network (CNN); (4) layer thickness between-layer maps segmentation model. processed served as input CNN to predict baseline lesion size annualized rate. Results: For dataset, Pearson correlation coefficient squared (r2) prediction was comparable all evaluated (0.33∼0.35). In prediction, (0.9∼0.91) except SLIVER-net (0.83). Prediction with only map ellipsoid zone (EZ) or retinal pigment epithelium (RPE) individually inferior using both. Addition other did not improve performance. Conclusions: All explored had performance, which might have reached plateau EZ RPE layers appear contain majority information related prediction. Translational Relevance: Our provides important insights on utility disease progression predictions.

Language: Английский

Citations

0

PHOSPHO1 Suppresses Ferroptosis in Retinal Pigment Epithelial Cells by Reducing the Levels of Phosphatidylethanolamine Molecular Species DOI Creative Commons
Zhiyang Chen,

Xiaoman Zhu,

Michael Mingze Lu

et al.

Advanced Science, Journal Year: 2025, Volume and Issue: unknown

Published: May 21, 2025

Abstract Iron‐induced lipid peroxidation of phosphatidylethanolamine (PE) species is a key driver ferroptosis in retinal pigment epithelial (RPE) cells, process closely associated with age‐related macular degeneration (AMD). The previous studies have demonstrated that induced (iRPE) cells generated by transcription factor‐mediated reprogramming exhibit superior therapeutic efficacy treating AMD. In this study, it found these iRPE are resistant to and further identified phosphoethanolamine/phosphocholine phosphatase 1 (PHOSPHO1) as critical regulator underlying resistance. Mechanistically, PHOSPHO1 inhibits through two distinct mechanisms. First, reduces PE levels the endoplasmic reticulum, thereby limiting PE‐derived peroxidation. Second, suppresses autophagy ferritinophagy, leading reduction intracellular free iron accumulation. Experiments using an vivo rat model confirm effectively protects RPE from ferroptotic damage. These findings highlight potential target for AMD, providing insights into novel ferroptosis‐based intervention strategies.

Language: Английский

Citations

0

Immunogenetic and Environmental Factors in Age-Related Macular Disease DOI Open Access

Sylwia Brodzka,

Jędrzej Baszyński,

Katarzyna Rektor

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(12), P. 6567 - 6567

Published: June 14, 2024

Age-related macular degeneration (AMD) is a chronic disease, which often develops in older people, but this not the rule. AMD pathogenesis changes include anatomical and functional complex. As result of damage, it occurs, retina macula, among other areas. These may lead to partial or total loss vision. This disease can occur two clinical forms, i.e., dry (progression slowly gradually) exudative (wet, progression acute severe), usually started as form. A coexistence both forms possible. etiology fully understood. Extensive genetic studies have shown that multifactorial determinants, along with environmental metabolic-functional factors, are important risk factors. article reviews impact heavy metals, macro- microelements, factors on development AMD. We present current state knowledge about influence determinants confrontation our own research conducted Polish population from Kuyavian-Pomeranian Lubusz Regions. Our concentrated showing how polluted environments large agglomerations affects In addition confirming metal accumulation, growth phase polymorphism material development, will also help detection new markers disease. better understanding establish prevention early treatment.

Language: Английский

Citations

3

Vascular changes in optical coherence tomography angiography unveiling the depths of dry age-related macular degeneration: a review DOI Creative Commons

Bogdan Dugiełło,

Adam Wylęgała, Magdalena Kijonka

et al.

Expert Review of Medical Devices, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 15

Published: Oct. 25, 2024

Introduction Recent advancements in imaging techniques, particularly optical coherence tomography angiography (OCTA), have transformed our understanding of retinal microvascular changes various ocular diseases, including dry age-related macular degeneration (AMD). Our literature review summarizes key findings on vascular alterations AMD as observed with OCTA, highlighting their implications for disease progression and management.

Language: Английский

Citations

0