Abstract: An intestinal dysbiosis is connected to a number of inflammatory diseases through various mechanisms relating to its effect on immune cell function and differentiation. This is a review of the literature summarizing our current understanding of intestinal microbial contributions to non-infectious uveitis and strategies to target the intestinal microbiome to treat uveitis. Several groups have demonstrated an intestinal dysbiosis associated with certain types of non-infectious uveitis. Additionally, approaches to treat uveitis by modifying the intestinal microbiota, such as oral antibiotics or administration of oral short chain fatty acids (SCFAs), which are intestinal bacterial metabolites produced by fermentation of dietary fiber, can successfully treat uveitis in mouse models. This reduction in severity of ocular inflammation occurs via the following mechanisms: enhancement of regulatory T cells, decreasing intestinal permeability, and/or affecting T cell trafficking between the intestines and the spleen. Other strategies that are directed at the intestinal microbiota that might be effective to treat uveitis include dietary changes, probiotics, or fecal microbial transplantation. The commensal gut bacteria are influential in systemic and intestinal mucosal immunity and thus contribute to the development of extraintestinal inflammation like uveitis. Targeting the intestinal microbiome thus has the potential to be a successful strategy to treat non-infectious uveitis.
Abstract: Artificial intelligence (AI) methods have become a focus of intense interest within the eye care community. This parallels a wider interest in AI, which has started impacting many facets of society. However, understanding across the community has not kept pace with technical developments. What is AI, and how does it relate to other terms like machine learning or deep learning? How is AI currently used within eye care, and how might it be used in the future? This review paper provides an overview of these concepts for eye care specialists. We explain core concepts in AI, describe how these methods have been applied in ophthalmology, and consider future directions and challenges. We walk through the steps needed to develop an AI system for eye disease, and discuss the challenges in validating and deploying such technology. We argue that among medical fields, ophthalmology may be uniquely positioned to benefit from the thoughtful deployment of AI to improve patient care.
Abstract: Hereditary, metabolic and toxic optic neuropathies cause bilateral, central vision loss and therefore can result in severe impairment in visual function. Accurate, early diagnosis is critical, as nutritional and toxic optic neuropathies may be reversible if identified early, and diagnosis of hereditary optic neuropathies can prevent unnecessary invasive workup, provide prognostic information, and allow for effective genetic counseling. Optical coherence tomography (OCT) is a valuable tool that aids in the diagnosis and prognostication of optic neuropathies as it allows for quantification of changes in the retinal ganglion cells (RGCs) and retinal nerve fiber layer (RNFL) over time. We review the characteristic clinical presentations of hereditary, metabolic and toxic optic neuropathies, with an emphasis on OCT findings.
Abstract: Macular neovascularization (MNV) is the hallmark of neovascular age-related macular degeneration (nAMD), one of the leading causes of vision loss in the developed world. The current MNV standard of care including frequent intravitreal anti-vascular endothelial growth factor (VEGF) injections, although has revolutionized favorably the treatment, places a substantial burden on patients, caregivers, and physicians. Brolucizumab is a newly developed single-chain antibody fragment that inhibits activation of VEGF receptor 2 with in vitro affinity and potency comparable to commercially-available anti-VEGF agents. Its small molecular weight and its design allow for high solubility and retinal tissue penetration, and improve bynding affinity to the target. Also a high clearance rate leading to minimal systemic exposure was observed. Brolucizumab has shown similar gains in visual acuity compared with other anti-VEGF molecules but a higher and earlier resolution of nAMD related fluid, achieving sustained macular dryness with longer mantainance injection interval ranging from 8 to 12 weeks after monthly loading doses. Rare cases of ocular inflammation also including retinal vasculitis and retinal vascular occlusions referred to an immune-mediated reaction posed safety concerns on selected patients and mantainance treatment interval shorter than 8 weeks.The present review summarizes several key points including the molecular structure and pharmacokinetics, the preclinical and clinical evidence of brolucizumab administration evaluating its efficacy, tolerability, and safety, extended dosing regimens and other indications still under clinical investigation.
Abstract: Several factors drive the need for increased efficiency in telemedicine screening programs directed toward diabetic retinopathy: continually increasing prevalence of diabetes worldwide, growing awareness among physicians and patients of the importance of early detection of retinal damage, and emerging technology in artificial intelligence that enables rapid identification of vision-threatening fundus features. In this context, optimizing workflows in teleretinopathy programs becomes a priority. Recent work has revealed opportunities for improvement in areas of logistics, in particular in finding the best way to get diabetic patients in front of screening cameras as conveniently as possible, as this improves compliance and, ultimately, achieves the widest reach for detection programs. The present review discusses particular aspects of mobile screening programs in which specialized retinal cameras are deployed in a van or similar type of vehicle so that they can reach patients anywhere in order to reduce barriers to access. The rationale for implementing such programs and practical considerations are presented, along with a view toward future expansion of screening and integration with artificial intelligence platforms. Lacking standardization of format and quality control among smartphone-linked approaches at present, translation of eye clinic-based photographic techniques to community-based screening offers a means of expanding the scope of impactful screening programs without the need for adoption of significantly new technology.
Abstract: The most prominent causes of loss of vision in individuals over 50 years include age-related macular degeneration (AMD), glaucoma, and diabetic retinopathy (DR). While it is important to screen for these diseases effectively, current eye care is not properly doing so for much of the population, resulting in unfortunate visual disability and high costs for patients. Innovative functional testing can be unified with other screening methods for a more robust and safer screening and prediction of disease. The goal in the creation of functional testing modalities is to develop highly sensitive screening tests that are easy to use, accessible to all users, and inexpensive. The tests herein are deployed on an iPad with easily understood and intuitive instructions for rapid, streamlined, and automatic administration. These testing modalities could become highly sensitive screenings for early detection of potentially blinding diseases. The applications from our collaborators at AMA Optics include a cone photostress recovery test for detection of AMD and diabetic macular edema (DME), brightness balance perception for optic nerve dysfunction and especially glaucoma, color vision testing which is a broad screening tool, and visual acuity test. Machine learning with the combined structural and functional data will optimize identification of disease and prediction of outcomes. Here, we review and assess various tests of visual function that are easily administered on a tablet for screening in primary care. These user-friendly and simple screening tests allow patients to be identified in the early stages of disease for referral to specialists, proper assessment and treatment.
