Abstract: Diabetic retinopathy (DR) remains a leading cause of irreversible vision loss in adult populations around the globe. Despite growing evidence of the effectiveness of routine assessments and early intervention, DR screening strategies are not widely implemented largely due to an inadequate availability of resources to cope with the growing burden of diabetes. Advances in technology in the field of DR screening are clearly warranted and the recent emergence of deep learning-based artificial intelligence (AI) grading of retinal pathology offers significant potential benefits including an increased efficiency, accessibility and affordability of screening programmes.
Abstract: The disease burden of diabetic retinopathy (DR) is tremendous around the world. While DR is correlated with hemoglobin A1c (HbA1c) and duration of diabetes, genetic differences likely account for variation in susceptibility to DR. DR is a polygenic disorder with demonstrated heritability. However, linkage and admixture analyses, candidate gene association studies, and genome-wide association studies (GWAS) have not identified many loci for DR that can be consistently replicated. Larger, collaborative, multi-ethnic GWAS are needed to identify common variants with small effects. Rigorous defining of controls groups as patients with a long duration of diabetes without DR, and case groups as patients with severe DR will also aid in finding genes associated with DR. Replication in independent cohorts will be key to establishing associated loci for DR. Investigations of mitochondrial DNA and epigenetics in DR are ongoing. Whole exome sequencing presents new opportunities to identify rare variants that might be implicated in DR development. Continued research in the genetic epidemiology of DR is needed, with the potential to elucidate pathogenesis and treatment of an important disease.
Abstract: Retinal angiogenic diseases, such as diabetic retinopathy (DR) and age-related macular degeneration (AMD) represent the leading causes of vision impairment in developed countries. There is strong evidence that dysregulated metabolic pathways contribute to DR as known risk factors do not explain all cases and the phenomenon of metabolic memory persists for decades or longer. Some early studies also showed that changes of plasma metabolic profiles are associated with AMD. Metabolic abnormalities can be explored using the techniques of the new science of metabolomics. In this presentation, several metabolomics workflows as well as the application of data independent acquisition mass spectrometry (DIA-MS) in metabolomics will be discussed. Our recent findings from metabolomics studies on DR and AMD will be presented.
Abstract: Diabetic retinopathy (DR) is a complex multifactorial disease and one of the leading causes of visual impairment worldwide. DR pathogenesis is still not completely understood and, even if studies performed in the past focused on microvascular dysfunction as the main event, growing body of scientific evidence has demonstrated an important role of inflammation and neurodegeneration in the onset and progression of DR. This review summarizes current literature on the role of inflammation in the pathogenesis and progression of DR. In particular, it focuses on clinical inflammatory biomarkers detectable with non-invasive retinal imaging, suggestive of a local inflammatory condition. Current available treatments are applicable only at advanced stages of disease, therefore, there is the need to detect biomarkers of subclinical or early DR that can help in DR management before irreversible damage occurs. A better understanding of inflammatory pathways involved in DR may permit to implement more specific and personalized therapeutic strategies and clinical biomarkers may be a helpful tool in the everyday clinical practice to direct the patient to the most appropriate treatment option.
Background: With a large portion of older adults living longer, the number of individuals diagnosed with low vision is increasing. The use of optical coherence tomography/scanning laser ophthalmoscope (OCT/SLO) to diagnose retinal disease has become common place in the last 10 years, yet currently there are no OCT/SLO databases for pathological vision. Our aim is to develop a clinical database of individuals who have drusen (i.e., lipid deposits found under the retina), or have been diagnosed with age-related macular degeneration (AMD), with information as to how the structure of the diseased retina changes over time, as well as measures of visual and cognitive functional performance.
Methods: Fundus photographs and retinal scans will be taken using the same model of optos OCT/SLO located in three test sites (MAB-Mackay Rehabilitation Centre, School of Optometry Clinic at the University of Montreal, and the Lighthouse Institute, New York, USA). For each individual entry in the database, demographic and diagnosis information will be available. All OCT/SLO images will be graded according to the Age-related Eye Disease Study standard, in addition to number and size of drusen, severity of geographic atrophy, severity of pigment mottling and presence of choroidal neovascularization. Retinal topography and Raster scans from the OCT/SLO will provide a cross-sectional look at affected retinas. Fixation stability will be recorded using the SLO function, and present four different tasks that are designed to reproduce typical tasks of daily vision, with each task lasting for 10 seconds. The tasks are cross fixation, face recognition, visual search, and reading. These tasks in addition to the retinal scans will be used to determine the eccentricity of a preferred retinal locus from the anatomical fovea, and can be used as an outcome measure for clinical interventions in visually impaired patients.
Results: The database will be available to professors training eye-care practitioners and rehabilitation specialists as a teaching tool. Students will be able to familiarize themselves with the retina and a variety of AMD-related pathologies before they start working with patients. The database will also be accessible by researchers interested in studying AMD from basic science to epidemiology, to investigate how drusen and AMD impact visual and cognitive functional performance.
Conclusions: The common infrastructure is easily accessible to all VHRN members on request. The database will also be accessible online in 2018 (see http://cvl.concordia.ca for more information).
Background: With the arrival of a new standardized tool and considering the multiple disadvantages of the actual method used for assesses lighting needs, the goal of the study was to compare the actual lighting assessment method used by the clinicians working in a rehabilitation center with the use of the LuxIQTM. As reading is found to be the main difficulty mentioned by the majority of the clients at the rehabilitation centre and that past studies have shown the impact of lighting on improving reading speed and deceasing print size, the hypothesis stated that the use of the standardized tool would be statistically significantly superior than the use of the standard method on the variables on reading speed, print size, ocular fatigue, application of the recommendations and satisfaction of the length of time read.
Methods: Three clinicians proceeded to home lighting assessments for 28 participants aged from 19 to 100 years (mean =75, SD =27) old diagnosed with age-related macular degeneration or glaucoma. The study evaluated and compared pre and post results between the two methods.
Results: The intervention did not have a statistically significant impact on any of the variables mentioned. The lighting assessment itself, with either the standard method or using the LuxIQ, statistically significantly decreased print size for reading (P<0.001, ω2 =0.47).
Conclusions: Lighting has a significant impact on reading print size. Participants value the assessment but encounter various obstacles that prevent them from applying the lighting recommendations. Considering the positive impact of lighting, finding a solution so participants may profit from the benefits of this intervention is crucial.
