Tandem Mass Tag LC-MS/MS of Aqueous Humor From Individuals With Type 2 Diabetes Without Retinopathy Reveals Early Dysregulation of Synaptic Proteins.

Purpose: An early neurodegenerative component of diabetic retinal disease (DRD) that precedes the vascular findings of clinically diagnosed diabetic retinopathy (DR) is increasingly being recognized. However, the relevant molecular mechanisms and biomarkers for early DRD are poorly defined. The purpose of this study was to uncover novel potential mediators of early diabetic retinal neuronal dysfunction through analysis of the aqueous fluid proteome in preclinical DR. Methods: Aqueous fluid was collected from subjects with type 2 diabetes mellitus (DM) but no clinical DR and from nondiabetic controls undergoing routine cataract surgery. Preoperative spectral-domain optical coherence tomography of the macula was obtained. Tandem mass tag LC-MS/MS was performed to identify proteins differentially present in diabetic and control aqueous fluid, and proteins with >50% change and P < 0.05 were considered significant. Selected results were validated with western blot of human aqueous fluid samples. Results: We identified decreased levels of proteins implicated in neuronal synapse formation and increased levels of inflammatory proteins in the aqueous fluid from patients with type 2 DM but no DR compared with controls. Of the differentially present synaptic proteins that we identified and confirmed with western blot, the majority have not previously been linked with DRD. Conclusions: The proteomic profile of aqueous fluid from individuals with type 2 DM but no DR suggests that retinal neuronal dysfunction and inflammation represent very early events in the pathophysiology of DRD. These findings support the concept that diabetic retinal neurodegeneration precedes vascular pathology and reveal novel potential mediators and/or biomarkers warranting further investigation.

Vision transformers: The next frontier for deep learning-based ophthalmic image analysis.

Deep learning is the state-of-the-art machine learning technique for ophthalmic image analysis, and convolutional neural networks (CNNs) are the most commonly utilized approach. Recently, vision transformers (ViTs) have emerged as a promising approach, one that is even more powerful than CNNs. In this focused review, we summarized studies that applied ViT-based models to analyze color fundus photographs and optical coherence tomography images. Overall, ViT-based models showed robust performances in the grading of diabetic retinopathy and glaucoma detection. While some studies demonstrated that ViTs were superior to CNNs in certain contexts of use, it is unclear how widespread ViTs will be adopted for ophthalmic image analysis, since ViTs typically require even more training data as compared to CNNs. The studies included were identified from the PubMed and Google Scholar databases using keywords relevant to this review. Only original investigations through March 2023 were included.

A Novel mRNA Modification Mutation in a Patient With Ligneous Conjunctivitis Coexisting With Heterozygous Familial Mediterranean Fever Mutation.

PURPOSE: To describe a novel mRNA mutation associated with ligneous conjunctivitis (LC) in a patient with heterozygous familial Mediterranean fever (FMF) mutation. METHODS: Case presentation of a patient with LC and heterozygous FMF mutation. The patient was evaluated for various genetically predisposed inflammatory diseases through whole exome sequencing. RESULTS: LC is a rare inflammatory ocular pathology presenting with recurrent conjunctivitis episodes with eosinophilic fibrin-rich pseudomembranes. FMF is an autoinflammatory disease presenting with recurrent episodes of fever, arthritis, and other inflammatory conditions. Various plasminogen (PLG) gene mutations have been identified in LC, whereas a variety of mutations in the Mediterranean fever (MEFV) gene have been identified in FMF patients. Based on the inflammatory nature of both pathologies, we aimed to evaluate and identify any potential common genetic pathway. We were not able to identify any mutation in PLG gene through whole gene sequencing; however, the patient was positive for heterozygous M680I FMF mutation, and we observed 22% of NM_000301.3:c.2130T>G (p.T710=) variant in mRNA isolated from affected tissue, which was not present in DNA sequence. CONCLUSIONS: To the best of our knowledge, this is the first case of LC caused by an mRNA mutation coexisting with another genetically predisposed autoinflammatory disease mutation.