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Revue Medicale de Liege Feb 2020Retinitis pigmentosa is the most frequent hereditary dystrophy of the retina, with a global prevalence of 1/4.000. The underlying mechanism involves progressive loss,...
Retinitis pigmentosa is the most frequent hereditary dystrophy of the retina, with a global prevalence of 1/4.000. The underlying mechanism involves progressive loss, first of the rod photoreceptor cells, followed by the cone photoreceptor cells. Finally, complete blindness may occur. Genetic transmission is known but most cases are sporadic. Few effective treatments exist nowadays and hence regular follow-up is required in a revalidation center.
Topics: Humans; Retina; Retinal Cone Photoreceptor Cells; Retinal Rod Photoreceptor Cells; Retinitis Pigmentosa
PubMed: 32030928
DOI: No ID Found -
Progress in Retinal and Eye Research Sep 2023Mitochondrial function is key to support metabolism and homeostasis in the retina, an organ that has one of the highest metabolic rates body-wide and is constantly... (Review)
Review
Mitochondrial function is key to support metabolism and homeostasis in the retina, an organ that has one of the highest metabolic rates body-wide and is constantly exposed to photooxidative damage and external stressors. Mitophagy is the selective autophagic degradation of mitochondria within lysosomes, and can be triggered by distinct stimuli such as mitochondrial damage or hypoxia. Here, we review the importance of mitophagy in retinal physiology and pathology. In the developing retina, mitophagy is essential for metabolic reprogramming and differentiation of retina ganglion cells (RGCs). In basal conditions, mitophagy acts as a quality control mechanism, maintaining a healthy mitochondrial pool to meet cellular demands. We summarize the different autophagy- and mitophagy-deficient mouse models described in the literature, and discuss the potential role of mitophagy dysregulation in retinal diseases such as glaucoma, diabetic retinopathy, retinitis pigmentosa, and age-related macular degeneration. Finally, we provide an overview of methods used to monitor mitophagy in vitro, ex vivo, and in vivo. This review highlights the important role of mitophagy in sustaining visual function, and its potential as a putative therapeutic target for retinal and other diseases.
Topics: Mice; Animals; Mitophagy; Retina; Retinal Ganglion Cells; Autophagy; Mitochondria; Homeostasis
PubMed: 37454969
DOI: 10.1016/j.preteyeres.2023.101205 -
American Journal of Ophthalmology Aug 2021To determine classification criteria for acute retinal necrosis (ARN).
PURPOSE
To determine classification criteria for acute retinal necrosis (ARN).
DESIGN
Machine learning of cases with ARN and 4 other infectious posterior uveitides / panuveitides.
METHODS
Cases of infectious posterior uveitides / panuveitides were collected in an informatics-designed preliminary database, and a final database was constructed of cases achieving supermajority agreement on diagnosis, using formal consensus techniques. Cases were split into a training set and a validation set. Machine learning using multinomial logistic regression was used on the training set to determine a parsimonious set of criteria that minimized the misclassification rate among the infectious posterior uveitides / panuveitides. The resulting criteria were evaluated on the validation set.
RESULTS
Eight hundred three cases of infectious posterior uveitides / panuveitides, including 186 cases of ARN, were evaluated by machine learning. Key criteria for ARN included (1) peripheral necrotizing retinitis and either (2) polymerase chain reaction assay of an intraocular fluid specimen positive for either herpes simplex virus or varicella zoster virus or (3) a characteristic clinical appearance with circumferential or confluent retinitis, retinal vascular sheathing and/or occlusion, and more than minimal vitritis. Overall accuracy for infectious posterior uveitides / panuveitides was 92.1% in the training set and 93.3% (95% confidence interval 88.2, 96.3) in the validation set. The misclassification rates for ARN were 15% in the training set and 11.5% in the validation set.
CONCLUSIONS
The criteria for ARN had a reasonably low misclassification rate and seemed to perform sufficiently well for use in clinical and translational research.
Topics: Adult; Female; Fluorescein Angiography; Fundus Oculi; Humans; Machine Learning; Male; Middle Aged; Retina; Retinal Necrosis Syndrome, Acute; Tomography, Optical Coherence
PubMed: 33845012
DOI: 10.1016/j.ajo.2021.03.057 -
International Journal of Molecular... Sep 2019Diabetic retinopathy (DR), a sight-threatening neurovasculopathy, is the leading cause of irreversible blindness in the developed world. DR arises as the result of... (Review)
Review
Diabetic retinopathy (DR), a sight-threatening neurovasculopathy, is the leading cause of irreversible blindness in the developed world. DR arises as the result of prolonged hyperglycemia and is characterized by leaky retinal vasculature, retinal ischemia, retinal inflammation, angiogenesis, and neovascularization. The number of DR patients is growing with an increase in the elderly population, and therapeutic approaches are limited, therefore, new therapies to prevent retinal injury and enhance repair are a critical unmet need. Besides vascular endothelial growth factor (VEGF)-induced vascular proliferation, several other mechanisms are important in the pathogenesis of diabetic retinopathy, including vascular inflammation. Thus, combining anti-VEGF therapy with other new therapies targeting these pathophysiological pathways of DR may further optimize treatment outcomes. Technological advancements have allowed for high-throughput proteomic studies examining biofluids such as aqueous humor, vitreous humor, tear, and serum. Many DR biomarkers have been identified, especially proteins involved in retinal inflammatory processes. This review attempts to summarize the proteomic biomarkers of DR-associated retinal inflammation identified over the last several years.
Topics: Biomarkers; Body Fluids; Diabetic Retinopathy; Humans; Protein Processing, Post-Translational; Proteome; Proteomics; Retinitis
PubMed: 31557880
DOI: 10.3390/ijms20194755 -
International Journal of Molecular... Jan 2022Brain plasticity is a well-established concept designating the ability of central nervous system (CNS) neurons to rearrange as a result of learning, when adapting to... (Review)
Review
Brain plasticity is a well-established concept designating the ability of central nervous system (CNS) neurons to rearrange as a result of learning, when adapting to changeable environmental conditions or else while reacting to injurious factors. As a part of the CNS, the retina has been repeatedly probed for its possible ability to respond plastically to a variably altered environment or to pathological insults. However, numerous studies support the conclusion that the retina, outside the developmental stage, is endowed with only limited plasticity, exhibiting, instead, a remarkable ability to maintain a stable architectural and functional organization. Reviewed here are representative examples of hippocampal and cortical paradigms of plasticity and of retinal structural rearrangements found in organization and circuitry following altered developmental conditions or occurrence of genetic diseases leading to neuronal degeneration. The variable rate of plastic changes found in mammalian retinal neurons in different circumstances is discussed, focusing on structural plasticity. The likely adaptive value of maintaining a low level of plasticity in an organ subserving a sensory modality that is dominant for the human species and that requires elevated fidelity is discussed.
Topics: Animals; Cell Plasticity; Humans; Neuronal Plasticity; Retina; Retinal Neurons
PubMed: 35163059
DOI: 10.3390/ijms23031138 -
Journal of Neuroinflammation Dec 2021Glaucoma, the leading cause of irreversible blindness, is a retinal neurodegenerative disease, which results from progressive apoptotic death of retinal ganglion cells...
BACKGROUND
Glaucoma, the leading cause of irreversible blindness, is a retinal neurodegenerative disease, which results from progressive apoptotic death of retinal ganglion cells (RGCs). Although the mechanisms underlying RGC apoptosis in glaucoma are extremely complicated, an abnormal cross-talk between retinal glial cells and RGCs is generally thought to be involved. However, how interaction of Müller cells and microglia, two types of glial cells, contributes to RGC injury is largely unknown.
METHODS
A mouse chronic ocular hypertension (COH) experimental glaucoma model was produced. Western blotting, immunofluorescence, quantitative real-time polymerase chain reaction (q-PCR), transwell co-culture of glial cells, flow cytometry assay, ELISA, Ca image, and terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) techniques were employed to investigate the interaction of Müller cells and microglia, and its underlying mechanisms in COH retina.
RESULTS
We first showed that Müller cell activation in mice with COH induced microglia activation through the ATP/P2X7 receptor pathway. The activation of microglia resulted in a significant increase in mRNA and protein levels of pro-inflammatory factors, such as tumor necrosis factor-α and interleukin-6. These inflammatory factors in turn caused the up-regulation of mRNA expression of pro-inflammatory factors in Müller cells through a positive feedback manner.
CONCLUSIONS
These findings provide robust evidence, for the first time, that retinal inflammatory response may be aggravated by an interplay between activated two types of glial cells. These results also suggest that to reduce the interplay between Müller cells and microglia could be a potential effective strategy for preventing the loss of RGCs in glaucoma.
Topics: Adenosine Triphosphate; Animals; Coculture Techniques; Cytokines; Ependymoglial Cells; Glaucoma; Macrophage Activation; Mice; Mice, Inbred C57BL; Microglia; Ocular Hypertension; Receptors, Purinergic P2X7; Retinal Ganglion Cells; Retinitis; Signal Transduction
PubMed: 34952606
DOI: 10.1186/s12974-021-02366-x -
Acta Ophthalmologica Nov 2019The relationship between ocular haemodynamics and retinitis pigmentosa (RP) has not been fully understood. Reductions in blood flow have been established in RP patients... (Review)
Review
The relationship between ocular haemodynamics and retinitis pigmentosa (RP) has not been fully understood. Reductions in blood flow have been established in RP patients by a variety of studies; however, questions have yet to be answered regarding the role of vascular dysfunction in photoreceptors (PR) degeneration, the causes of vascular dysfunction in RP, as well as the diagnostic, prognostic and perhaps therapeutic potential of measuring ocular haemodynamics in RP patients. While significant evidence supports the theory that vascular dysfunction is associated with but not the cause of PR death in retinitis pigmentosa, evidence suggests that vascular abnormalities in the foveal and parafoveal regions may exacerbate cone cell loss. Additional evidence demonstrates that vascular dysfunction likely results from changes in metabolic demand due to death of PR cells in the retina. Detection and monitoring of ocular blood flow, retinal oxygen saturation, endothelin-1 levels and vascular structural abnormalities could provide diagnostic, prognostic and therapeutic potential for patients with RP.
Topics: Humans; Prognosis; Retina; Retinal Vessels; Retinitis Pigmentosa; Tomography, Optical Coherence
PubMed: 31099494
DOI: 10.1111/aos.14138 -
Biomedicine & Pharmacotherapy =... Aug 2023Vitamin A (retinol) is a lipid-soluble vitamin that acts as a precursor for several bioactive compounds, such as retinaldehyde (retinal) and isomers of retinoic acid....
Vitamin A (retinol) is a lipid-soluble vitamin that acts as a precursor for several bioactive compounds, such as retinaldehyde (retinal) and isomers of retinoic acid. Retinol and all-trans-retinoic acid (atRA) penetrate the blood-brain barrier and are reported to be neuroprotective in several animal models. We characterised the impact of retinol and its metabolites, all-trans-retinal (atRAL) and atRA, on ferroptosis-a programmed cell death caused by iron-dependent phospholipid peroxidation. Ferroptosis was induced by erastin, buthionine sulfoximine or RSL3 in neuronal and non-neuronal cell lines. We found that retinol, atRAL and atRA inhibited ferroptosis with a potency superior to α-tocopherol, the canonical anti-ferroptotic vitamin. In contrast, we found that antagonism of endogenous retinol with anhydroretinol sensitises ferroptosis induced in neuronal and non-neuronal cell lines. Retinol and its metabolites atRAL and atRA directly interdict lipid radicals in ferroptosis since these compounds displayed radical trapping properties in a cell-free assay. Vitamin A, therefore, complements other anti-ferroptotic vitamins, E and K; metabolites of vitamin A, or agents that alter their levels, may be potential therapeutics for diseases where ferroptosis is implicated.
Topics: Animals; Vitamin A; Ferroptosis; Lipid Peroxidation; Tretinoin; Vitamins; Retinaldehyde; Lipids
PubMed: 37236031
DOI: 10.1016/j.biopha.2023.114930 -
American Journal of Ophthalmology Aug 2021To determine classification criteria for toxoplasmic retinitis.
PURPOSE
To determine classification criteria for toxoplasmic retinitis.
DESIGN
Machine learning of cases with toxoplasmic retinitis and 4 other infectious posterior uveitides / panuveitides.
METHODS
Cases of infectious posterior uveitides / panuveitides were collected in an informatics-designed preliminary database, and a final database was constructed of cases achieving supermajority agreement on diagnosis, using formal consensus techniques. Cases were split into a training set and a validation set. Machine learning using multinomial logistic regression was used on the training set to determine a parsimonious set of criteria that minimized the misclassification rate among the infectious posterior uveitides / panuveitides. The resulting criteria were evaluated on the validation set.
RESULTS
Eight hundred three cases of infectious posterior uveitides / panuveitides, including 174 cases of toxoplasmic retinitis, were evaluated by machine learning. Key criteria for toxoplasmic retinitis included focal or paucifocal necrotizing retinitis and either positive polymerase chain reaction assay for Toxoplasma gondii from an intraocular specimen or the characteristic clinical picture of a round or oval retinitis lesion proximal to a hyperpigmented and/or atrophic chorioretinal scar. Overall accuracy for infectious posterior uveitides / panuveitides was 92.1% in the training set and 93.3% (95% confidence interval 88.2, 96.3) in the validation set. The misclassification rates for toxoplasmic retinitis were 8.2% in the training set and 10% in the validation set.
CONCLUSIONS
The criteria for toxoplasmic retinitis had a low misclassification rate and seemed to perform sufficiently well for use in clinical and translational research.
Topics: Adult; Animals; Antibodies, Protozoan; Aqueous Humor; DNA, Protozoan; Eye Infections, Parasitic; Female; Humans; Machine Learning; Male; Retinitis; Toxoplasma; Toxoplasmosis, Ocular; Young Adult
PubMed: 33845002
DOI: 10.1016/j.ajo.2021.03.042 -
Journal of Investigative Medicine High... 2019Coccidioidomycosis is an invasive fungus found primarily in the soil of Southwestern United States, Mexico, and Central America. Primary disease mostly presents as a...
Coccidioidomycosis is an invasive fungus found primarily in the soil of Southwestern United States, Mexico, and Central America. Primary disease mostly presents as a pulmonary disease although multiple organ systems can be affected through lymphohematogenous dissemination, with ocular seeding extremely rare. When present, the anterior segment structures are most commonly affected. Isolated choroid and/or vitreal disease has been reported infrequently. This is a case of chorioretinitis with vitreal involvement.
Topics: Adult; Chorioretinitis; Coccidioides; Coccidioidomycosis; Eye Infections, Fungal; Humans; Male; Tomography, Optical Coherence; Tomography, X-Ray Computed; Vitreous Body
PubMed: 31597500
DOI: 10.1177/2324709619881561