The Prevalence of Retinal Disease and Associated CNS Disease in Young Patients with Incontinentia Pigmenti.

PURPOSE: To evaluate the prevalence of retinal disease on fluorescein angiography (FA) in patients with incontinentia pigmenti (IP) and to compare the severity of retinal disease in those with and without known central nervous system (CNS) disease. DESIGN: Multi-institutional consecutive retrospective case series. SUBJECTS: New patients with a diagnosis of IP were seen at the Casey Eye Institute at the Oregon Health and Science University (OHSU), Moran Eye Center, University of Utah, or Bascom Palmer Eye Institute, University of Miami from December 2011 to September 2018. METHODS: Detailed ophthalmoscopic examination and FA were recommended for all new patients and performed on every patient who had parental consent. Ophthalmoscopic findings and FA images were graded for severity by 2 masked graders on a 3-point scale: 0 = no disease, 1 = vascular abnormalities without leakage, 2 = leakage or neovascularization, and 3 = retinal detachment. The presence of known CNS disease was documented. Additional cases were obtained from a pediatric retina listserv for examples of phenotypic variation. MAIN OUTCOME MEASURES: The proportion of eyes noted to have disease on ophthalmoscopy compared with FA and the severity of retinal disease in those with and without known CNS disease. RESULTS: Retinal pathology was detected in 18 of 35 patients (51%) by indirect ophthalmoscopy and 26 of 35 patients (74%) by FA (P = 0.048) in a predominantly pediatric population (median age, 9 months). Ten patients (29%) had known CNS disease at the time of the eye examination. A Wilcoxon rank-sum test indicated that the retinal severity scores for patients with CNS disease (median, 2) were significantly higher than the retinal severity scores for patients without CNS disease (median, 1), z = -2.12, P = 0.034. CONCLUSIONS: Retinal disease is present in the majority of patients with IP, and ophthalmoscopic examination is less sensitive than FA for detection of disease. There may be a correlation between the severity of retinal and CNS disease.

Evaluation of artificial intelligence-based telemedicine screening for retinopathy of prematurity.

Retrospective evaluation of a deep learning-derived retinopathy of prematurity (ROP) vascular severity score in an operational ROP screening program demonstrated high diagnostic performance for detection of type 2 or worse ROP. To our knowledge, this is the first report in the literature that evaluated the use of artificial intelligence for ROP screening and represents a proof of concept. With further prospective validation, this technology might improve the accuracy, efficiency, and objectivity of diagnosis and facilitate earlier detection of disease progression in patients with potentially blinding ROP.

Characterizing the "POAGome": A bioinformatics-driven approach to primary open-angle glaucoma.

Primary open-angle glaucoma (POAG) is a genetically, physiologically, and phenotypically complex neurodegenerative disorder. This study addressed the expanding collection of genes associated with POAG, referred to as the "POAGome." We used bioinformatics tools to perform an extensive, systematic literature search and compiled 542 genes with confirmed associations with POAG and its related phenotypes (normal tension glaucoma, ocular hypertension, juvenile open-angle glaucoma, and primary congenital glaucoma). The genes were classified according to their associated ocular tissues and phenotypes, and functional annotation and pathway analyses were subsequently performed. Our study reveals that no single molecular pathway can encompass the pathophysiology of POAG. The analyses suggested that inflammation and senescence may play pivotal roles in both the development and perpetuation of the retinal ganglion cell degeneration seen in POAG. The TGF-ß signaling pathway was repeatedly implicated in our analyses, suggesting that it may be an important contributor to the manifestation of POAG in the anterior and posterior segments of the globe. We propose a molecular model of POAG revolving around TGF-ß signaling, which incorporates the roles of inflammation and senescence in this disease. Finally, we highlight emerging molecular therapies that show promise for treating POAG.

Saliva DNA quality and genotyping efficiency in a predominantly elderly population.

BACKGROUND: The question of whether DNA obtained from saliva is an acceptable alternative to DNA from blood is a topic of considerable interest for large genetics studies. We compared the yields, quality and performance of DNAs from saliva and blood from a mostly elderly study population. METHODS: Two thousand nine hundred ten DNAs from primarily elderly subjects (mean age ± standard deviation (SD): 65 ± 12 years), collected for the Primary Open-Angle African-American Glaucoma Genetics (POAAGG) study, were evaluated by fluorometry and/or spectroscopy. These included 566 DNAs from blood and 2344 from saliva. Subsets of these were evaluated by Sanger sequencing (n = 1555), and by microarray SNP genotyping (n = 94) on an Illumina OmniExpress bead chip platform. RESULTS: The mean age of subjects was 65, and 68 % were female in both the blood and saliva groups. The mean ± SD of DNA yield per ml of requested specimen was significantly higher for saliva (17.6 ± 17.8 µg/ml) than blood (13.2 ± 8.5 µg/ml), but the mean ± SD of total DNA yield obtained per saliva specimen (35 ± 36 µg from 2 ml maximum specimen volume) was approximately three-fold lower than from blood (106 ± 68 µg from 8 ml maximum specimen volume). The average genotyping call rates were >99 % for 43 of 44 saliva DNAs and >99 % for 50 of 50 for blood DNAs. For 22 of 23 paired blood and saliva samples from the same individuals, the average genotyping concordance rate was 99.996 %. High quality PCR Sanger sequencing was obtained from ≥ 98 % of blood (n = 297) and saliva (n = 1258) DNAs. DNA concentrations ≥10 ng/µl, corresponding to total yields ≥ 2 µg, were obtained for 94 % of the saliva specimens (n = 2344). CONCLUSIONS: In spite of inferior purity, the performance of saliva DNAs for microarray genotyping was excellent. Our results agree with other studies concluding that saliva collection is a viable alternative to blood. The potential to boost study enrollments and reduce subject discomfort is not necessarily offset by a reduction in genotyping efficiency. Saliva DNAs performed comparably to blood DNAs for PCR Sanger sequencing.